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Location:Toronto

Category:Aerospace Engineering

Product Engineer63845406142083120

Product Engineer

Position Summary: The Product Engineer is responsible for the development and engineering of new product solutions, as well as for ensuring that products meet the design intent, are manufacturing friendly, meet cost targets and meet industry testing and safety standards. The Product Engineer will work on multi-disciplinary project teams where achieving consensus and quality are the keys to success. Requirements Job Duties: To develop creative and sound engineering product solutions in response to the product directional outline (PDO), manufacturing improvement projects, customer quality claims, and installation issues. Incorporate technical advances in manufacturing processes and materials while understanding current capabilities in supplier base. To evolve the design concept through a systematic process of modeling, prototyping, testing and analysis re-iterating the design to optimize the function, appearance, and manufacturing of new parts and assemblies. Develop accurate and detailed parts and assembly layouts. To cooperate closely with internal and external stakeholders to ensure that developed products address market needs and customer expectations. To work together with cross-disciplinary project teams to collectively solve product issues including function, manufacturability, technical application /compatibility, testing and installation, etc. To prepare complete and accurate technical documentation for developed product (assembly and part drawings, part specification sheets) and other supporting documentation of all technical aspects of the product using a common database and complying with Tayco’s ISO procedures and internal standards. Interpret the testing requirements as they apply to the products and their application (BIFMA, CGSB, UL CSA, UBC, IBC, etc.). To ensure that the product design complies with all relevant testing requirements. To coordinate the fabrication of prototypes and pre-production product as required for the design evolution, testing, showroom and training requirements. Assist with cost analysis by gathering quotes, reviewing material usage, and supporting value engineering efforts. To liaise with 3rd party suppliers to source components or fabrication solutions. At development hold design reviews, topics include drawings, manufacturing process, capability, efficiency and the plan for quality. Provide documentation, data and other information required for effective launch of products into full production. To contribute to the development of new processes and tools that improve the development process and support Tayco’s position in the industry. To provide engineering knowledge and expertise to other departments in the organization. Support claims and warranty issues with short and long term solutions To continue to acquire knowledge of industry trends and standards, manufacturing and materials, technology, competitive product and engineering practices, environmental issues and sustainable design principles. Zero defects at launch through quality planning. QUALIFICATIONS To be able to perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Mechanical Engineering degree, diploma or equivalent experience P. Engineering License or Equivalent required 5-7 years engineering experience in a product design and manufacturing environment Knowledge and experience designing for a variety of manufacturing processes and materials (i.e. sheet metal, plastic, glass, wood) Good project and time management skills, experience in handling multiple projects Excellent organizational skills Strong 3D modeling and detail design using Solidworks or other parametric modeling program. Familiarity with ANSI/BIFMA standards. Experience with Solidworks PDM is preferred Experience with ERP systems for engineering and manufacturing processes is preferred Hands-on experience with prototype and model making Very good communication (verbal and written), presentation and interpersonal skills Ability to work both in diverse multidisciplinary team environment as well as individually with minimum supervision. Benefits Compensation : $80,000 to $85,000 Extended Healthcare Plan (Medical, Disability, Dental & Vision) 3 weeks of vacation Active Social Committee with wonderful company culture Great people to work with! Tayco endeavors to fill positions with the best available candidates who have the appropriate combination of education, experience, skills and abilities to successfully perform the duties of the position. Tayco is committed to equity and values diversity. We welcome applications from qualified individuals of all genders and sexual orientations, persons with disabilities, Aboriginal persons and persons of a visible minority. At Tayco, we are embracing innovative technologies, and Artificial Intelligence (AI) may be used to pre-screen applicants to enhance our recruitment process. AI-driven tools help us streamline candidate sourcing, improve the quality of our hiring decisions, and ensure a more efficient and personalized experience for both candidates and hiring teams.

Etobicoke, ON, Canada

CA$80,000-85,000/year

Senior Ruby Engineer (Rails)63845406185345121

Senior Ruby Engineer (Rails)

About the Role We're seeking a Senior Backend Engineer to strengthen our Ruby and Rails team. This role is well suited for someone at the senior boundary - either newly senior or an experienced mid-level engineer ready to level up. The ideal candidate is hungry to grow, ready to take ownership of complex features, and can work effectively as a technical partner to experienced senior and staff engineers. This role will be building customer facing capabilities on our core marketing automation platform serving thousands of e-commerce businesses. Key Responsibilities Design and implement features and capabilities for Privy’s multi-channel marketing platform Contribute to API and integration framework enabling deep integration between Privy and partner applications. Develop triggers, filters, and actions for Privy’s Flow automation product. Partner with senior and staff engineers on system architecture and scaling decisions Optimize application performance for high-volume data processing, real-time messaging, and advanced real-time list segmentation Review code and help maintain a high bar for both the product and engineering standards Participate in the on-call rotation and incident response Required Qualifications 6+ years of backend development experience with at least 3 working in a production Ruby on Rails codebase Solid understanding of data modeling and query optimization - PostgreSQL experience is a plus Experience with background job processing and strong understanding of async development patterns - Sidekiq experience is a plus Experience delivering, operating and maintaining features end-to-end in production Experience designing and implementing APIs in Rails and an understanding of RESTful principles Strong written communication skills and established habits communicating about your work asynchronously in writing Collaboration first mindset and proven ability to work independently Benefits High autonomy with no career ceilings Challenging and interesting work Amazing colleagues Competitive salary and equity Work remotely Covered health, dental, and vision insurance Regular team events and off-sites Unlimited PTO and generous paid parental leave

Toronto, ON, Canada

Negotiable Salary

Engineering Project Manager63845401420417122

Engineering Project Manager

About Maneva Maneva, a startup founded by an ex-Google Deepmind researcher, is an AI service provider revolutionizing manufacturing operations with cutting-edge AI solutions for autonomous factory operation and optimization. Our solution generates AI-powered actions and insights using off-the-shelf hardware or existing vision systems for real-impact manufacturing problems in products and equipment inspection, production efficiency, safety, and more. What You'll Do As an Engineering Project Manager at Maneva, you'll be the strategic orchestrator ensuring optimal utilization of our engineering resources across multiple concurrent AI vision system deployments. You will drive engineering prioritization, manage project timelines, and serve as the critical bridge between our technical teams and customer success organization. Your deep understanding of industrial engineering and machine vision systems will enable you to make informed resource allocation decisions while maintaining technical credibility with both internal teams and external customers. This role is central to scaling our operations efficiently, ensuring our engineering talent is optimally deployed across high-impact customer projects while maintaining delivery excellence and customer satisfaction. Location: Remote-first with occasional travel for strategic customer meetings Key Responsibilities Engineering Resource Management & Prioritization Optimize engineering resource allocation across multiple concurrent customer projects, balancing team capacity, skill sets, and project priorities Develop and maintain engineering capacity planning models to forecast resource needs and identify potential bottlenecks across the project portfolio Lead weekly engineering resource allocation meetings with technical leads to review project status, adjust priorities, and resolve resource conflicts Create and manage engineering project roadmaps with clear dependency mapping, critical path analysis, and resource requirements Implement resource utilization tracking and metrics to continuously improve team efficiency and project delivery performance Coordinate cross-functional engineering teams including vision engineers, software developers, hardware specialists, and field technicians Project Timeline & Milestone Management Establish realistic project timelines based on technical complexity, resource availability, and customer requirements Monitor and track project milestones across all active deployments, proactively identifying and mitigating schedule risks Facilitate project planning sessions with engineering teams to break down complex deployments into manageable work packages Manage project interdependencies and coordinate sequencing across multiple customer implementations Conduct regular project health assessments and implement corrective actions to keep projects on track Maintain project documentation including scope changes, timeline adjustments, and lessons learned Customer Success & Communication Interface Partner closely with Customer Success team to translate technical project status into clear customer communications Provide technical expertise for customer discussions around timeline expectations, milestone definitions, and project scope Participate in customer calls to discuss project progress, address technical concerns, and manage expectation alignment Prepare executive-level project dashboards showing portfolio health, resource utilization, and delivery forecasts Escalate and resolve project issues that impact customer satisfaction or delivery commitments Support pre-sales technical discussions by providing realistic delivery timeline estimates and resource requirements Process Optimization & Strategic Planning Develop and refine project management processes specifically tailored for AI vision system deployments Analyze project data to identify patterns, bottlenecks, and opportunities for process improvement Lead retrospectives and post-project reviews to capture learnings and optimize future project execution Build forecasting models for engineering capacity planning and project pipeline management Collaborate with leadership on strategic resource planning and team scaling decisions Requirements What We're Looking For Must-Haves Bachelor's degree in Industrial Engineering, Systems Engineering, or related technical field with 5+ years of project management experience in industrial environments Proven experience managing industrial engineering projects with specific background in machine vision, automation, or robotics implementations Strong customer-facing experience including technical discussions, project updates, and expectation management with manufacturing clients Demonstrated success coordinating cross-functional engineering teams across hardware, software, and field deployment disciplines Deep understanding of industrial manufacturing environments including production constraints, operational requirements, and implementation challenges Experience with project management methodologies (Agile, Waterfall, Hybrid) and tools (Jira, Asana, MS Project, etc.) Excellent analytical skills with ability to assess technical complexity and translate into accurate timeline estimates Strong communication skills with ability to interface effectively between technical teams and business stakeholders Nice-to-Haves Project management certification (PMP, Scrum Master, or equivalent) Hands-on experience with machine vision systems including cameras, lighting, image processing, and industrial integration Background in AI/ML project deployment or computer vision applications Experience with industrial automation protocols (PLC integration, Ethernet/IP, Modbus, etc.) Knowledge of manufacturing industries such as food & beverage, automotive, packaging, or CPG Experience in startup or scale-up environments with rapidly evolving project requirements Familiarity with software development lifecycles and DevOps practices for edge deployment Background in IoT or edge computing deployments Experience with resource planning and capacity management tools Understanding of hardware procurement and supply chain considerations Key Competencies Technical credibility to engage meaningfully with engineering teams on complex technical projects and provide accurate customer communications People management skills for directly managing individual contributor technical teams across diverse engineering disciplines Systems thinking to understand interdependencies across hardware, software, and field deployment activities Analytical problem-solving with data-driven approach to resource optimization and timeline management Stakeholder management across internal teams, customer success, and external customers Startup adaptability to thrive in a fast-paced environment with evolving priorities, resource constraints, and rapid scaling requirements Escalation management with ability to quickly assess technical issues and coordinate appropriate engineering resources for resolution Benefits Why Join Maneva? Drive operational excellence in a fast-growing AI company transforming manufacturing through cutting-edge vision systems Shape the future of project delivery by building scalable processes for AI system deployments Work with world-class engineering talent while optimizing team performance and customer success Gain exposure to cutting-edge Vision AI & IoT solutions across diverse manufacturing environments Lead strategic initiatives that directly impact company growth and customer satisfaction Build expertise in the rapidly expanding field of industrial AI and autonomous manufacturing Compensation & Benefits Competitive salary commensurate with experience Equity participation in a high-growth AI startup Comprehensive health, dental, and vision coverage Flexible PTO and professional development opportunities Remote-first culture with modern collaboration tools Important Notice: Protecting Your Personal Information We are committed to ensuring the security and privacy of all applicants. Please be aware that our company will never ask for sensitive personal information, via email, phone call or text message. We also do not require payment from applicants for any part of the hiring process. If you are contacted by someone claiming to represent our company and asking for such information, please do not respond. Instead, report the incident to us immediately at IT-Security@Maneva.ai.

Toronto, ON, Canada

Negotiable Salary

Full-stack Engineer (Javascript)63845400610433123

Full-stack Engineer (Javascript)

About Us Gramian Consulting is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. This opening is on behalf of one of our clients, and we’ll work closely with you to make the process clear and straightforward. About the company Our client is a venture-backed, product-led SaaS company serving modern online businesses and Content Creators. They build tools that help independent operators launch, sell, and manage their offerings end-to-end—from storefronts and checkout to analytics and customer engagement. The team is lean, senior, and highly collaborative, with engineers closely involved in product decisions. The environment favors rapid iteration, measurable outcomes, and craftsmanship in both UX and reliability. The company is headquartered in North America with a distributed team; meaningful overlap with Pacific Time is preferred. Role Overview We’re seeking a Senior Full-Stack Engineer (React/Node.js) to own features from concept to production. You’ll partner with design and product, shape APIs and data models, improve performance and reliability, and help evolve a modern CI/CD and observability setup. This role suits someone who enjoys moving quickly, sweating details, and operating with a high degree of autonomy. Key Responsibilities End-to-end feature ownership: scope, design, implement, test, release, and iterate across web frontend (React/TypeScript) and backend services (Node.js/TypeScript). Backend & data: design clean APIs, model relational/NoSQL data, implement caching/queuing, and optimize performance at scale. Frontend excellence: build accessible, responsive interfaces with strong attention to UX, latency, and stability. Quality & operations: expand automated tests, strengthen CI/CD pipelines, and contribute to runtime monitoring, alerting, and incident response. Security & privacy: apply secure coding practices, protect user data, and participate in reviews. Collaboration: work closely with design, product, and go-to-market partners; translate feedback into pragmatic, shippable solutions. Engineering culture: perform thoughtful code reviews, mentor teammates, and improve docs, standards, and developer experience. Requirements Must-Haves 5+ years building production web applications. Strong proficiency with JavaScript/TypeScript, React, and Node.js. Demonstrated ownership of projects from discovery → design → deployment → iteration. Solid fundamentals in HTTP APIs, data modeling, testing strategies, and performance tuning. Comfort operating in a fast-paced, ambiguous environment with a bias to action and customer impact. Effective communication and collaboration skills across engineering, product, and design. Nice-to-Haves (not all required) Experience scaling systems during rapid user or revenue growth (profiling, caching, background jobs, horizontal scaling). Backend services in Python or Go in addition to Node.js. Cloud-native experience (AWS/GCP/Azure), infrastructure-as-code, containers, and orchestration (Docker/Kubernetes). Event-driven architectures, messaging/streaming, and microservices patterns. Product analytics, experimentation platforms, and a strong eye for UI polish. Prior startup experience on lean teams with high ownership and tight feedback loops. Benefits Equity Group Health Insurance Benefits – 100% Premium Coverage 100% Coverage Paramedical Benefits up to $750 Out of Country Emergency Care Up to 100% Coverage on Medications up to $10,000 100% Coverage on Dental up to $2,000 Health & Wellness Membership Reimbursement up to $500 per year, subject to verification by the Company of regular use Lifetime membership subscription to Stan Home office stipend is available based on need and is subject to the Company’s sole discretion.

Toronto, ON, Canada

Negotiable Salary

Product Manager (Content Economy experience) - F63845400634113124

Product Manager (Content Economy experience) - F

About Us Gramian Consulting is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. This opening is on behalf of one of our clients, and we’ll work closely with you to make the process clear and straightforward. About the company Our client is a venture-backed, product-led SaaS company serving modern online businesses and Content Creators. They build tools that help independent operators launch, sell, and manage their offerings end-to-end—from storefronts and checkout to analytics and customer engagement. The team is lean, senior, and highly collaborative, with engineers closely involved in product decisions. The environment favors rapid iteration, measurable outcomes, and craftsmanship in both UX and reliability. The company is headquartered in North America with a distributed team; meaningful overlap with Pacific Time is preferred. Role Overview We’re hiring a Product Manager (Creator Tools) who blends hands-on product execution with an active creator mindset. You’ll own discovery through delivery on a fast-moving roadmap, validate ideas with real users, and share updates publicly to inspire and inform the community. This role suits a doer who is comfortable shipping quickly, simplifying complex problems, and rallying teams around outcomes. Key Responsibilities Own near-term roadmap (1–3 months): define objectives, prioritize bets, and keep delivery on track with clear success metrics. Continuous discovery: talk to creators weekly, synthesize insights, and translate them into problem statements, PRDs, and experiment plans. Ship & iterate fast: run lightweight A/B tests, launch MVPs, and make crisp decisions using directional data (dashboards, funnels, retention). Operational leadership: lead weekly sprint rituals, unblock engineering/design, refine scope, and keep momentum high. Prototype & communicate: create wireframes and narratives in Figma/Notion; align stakeholders with concise written docs. Build in public: publish short product updates/learnings on Instagram to engage users and gather feedback. Measure what matters: define and track product KPIs; report outcomes and learnings to the team. Raise the bar: bring taste for UX and quality; ensure reliability, privacy, and trust are considered in every release. Location & Work Mode Toronto HQ; primarily in-office with flexibility for creator events and user research. Relocation support can be discussed during the process. Requirements Must-Haves 2+ years as a Product Manager or Founder with a credible PMF story. Active Instagram Creator posting ≥3 times/week; comfortable sharing product work publicly. Toronto-based (or willing to relocate) and excited to work primarily in-office. Highly self-directed; able to operate like an internal “mini-agency” from brief to launch. Strong bias for action—ships quickly, iterates based on signal, doesn’t wait for perfect information. Clear, structured thinker who reduces complexity and focuses on real user pain. Female preferred/only Nice-to-Haves (not all required) Early-stage startup experience on lean teams (≈1–20 people). Technically conversant: understands trade-offs and can partner closely with engineering. Team amplifier who builds trust across functions and lifts execution quality. Owner mentality with product intuition and business awareness. Strong eye for design and details; empathy for creators and their workflows. Collaborative style—peers enjoy working with you and you make the team better. Ambition to build something meaningful and long-lasting. Benefits Equity Group Health Insurance Benefits – 100% Premium Coverage 100% Coverage Paramedical Benefits up to $750 Out of Country Emergency Care Up to 100% Coverage on Medications up to $10,000 100% Coverage on Dental up to $2,000 Health & Wellness Membership Reimbursement up to $500 per year, subject to verification by the Company of regular use Lifetime membership subscription to Stan Home office stipend is available based on need and is subject to the Company’s sole discretion.

Toronto, ON, Canada

Negotiable Salary

Backend Engineer63845396604931125

Backend Engineer

Role Overview: We are seeking a highly motivated and skilled Backend Developer to join our team! In this essential role, you will be part of a team developing, deploying, and maintaining backend services with an emphasis on infrastructure. We are seeking someone eager to make a significant impact in a fast-paced environment. Responsibilities: Backend Development: Develop customer-facing applications, APIs, and infrastructure, leveraging Go for backend development and Kubernetes for container orchestration. Infrastructure & DevOps: Maintain secure, high-availability cloud infrastructures and microservice architectures, applying cybersecurity best practices and handling DevOps responsibilities such as troubleshooting issues and maintaining CI/CD pipelines. System Reliability & Monitoring: Develop and maintain observability tools, leveraging dashboards such as Kibana for proactive monitoring, logging, and alerting to ensure systems are online and performing as expected. Parallelz Cultural Values Drive to Win. High Performance Matters: We are inspired by those who pursue excellence, and we work with those who do. Achieving this required hard work, humility, and a commitment to constant improvement. Challenge the Status Quo. Innovate Constantly: Curiosity drives us. We challenge the status quo and pursue ideas that fuel continuous growth. Lead with First Principles. Reduce, Rethink, Rebuild: We deconstruct challenges to their atomic level, rethink and challenge assumptions, and pursue deep understanding to create impactful innovations. Act Like It’s Yours. Own It: Everyone is expected to think like an owner. Taking full responsibility for understanding the inputs, outputs, and context to deliver and be accountable to the results that move the vision forward. Parallelz is committed to providing accommodations for people with disabilities. If you require accommodation, we will work with you to meet your needs. Accommodation may be provided in all parts of the hiring process. Requirements Required Skills: Go (Golang) programming language Experience developing backend APIs Experience maintaining infrastructure systems that include microservices and queues Understanding of cybersecurity and cloud security best practices. Experience with Docker containers Basic understanding of container orchestrators such as Kubernetes Proficiency in designing and creating dashboards and alerts to ensure system health Passion for solving complex technical challenges Strong communication skills, with the ability to effectively convey complex technical concepts and ideas Nice-to-Haves: Experience with Traefik Experience with GitHub Actions Experience with OpenTelemetry Benefits This is a full-time position. We offer a competitive salary, benefits, and an Employee Stock Option Plan.

Toronto, ON, Canada

Negotiable Salary

Quality Assurance Engineer63845394268803126

Quality Assurance Engineer

About Us: At AssistIQ we are dedicated to creating a more efficient and transparent healthcare supply chain by fixing one of the core problems - providers lack accurate data and insights on their supply and implant usage. Our AI-driven software solution provides highly accurate, seamless capture of supply and implant usage in real-time, and generates actionable insights to healthcare systems, enabling better revenue capture and reduced waste, ultimately leading to better value of care and better outcomes for patients. About the Role: In the role of QA Engineer, you will be responsible for ensuring the quality and reliability of AssistIQ’s software products. You will own the quality of new features; from test planning, execution and feedback throughout the development cycle. We’re excited by candidates who enjoy and are capable of working in a fast-paced entrepreneurial environment. To be successful, you'll need to combine strong analytical skills and an attention to detail with a pragmatic understanding of how to deliver quality applications across an array of technology platforms. Equally important, you’ll thrive in close collaboration with product, engineering, customer success and other cross-functional teams. Given the nature of startup life, this role is dynamic with priorities evolving regularly and with strong delivery commitments. What you will do Collaborate with the product and engineering team to understand user requirements and new software features on the product roadmap Lead test planning for new releases across various products on the platform (mobile apps, web services and analytics dashboards) Mentor junior QA Engineers Develop and execute test plans to ensure the functionality, usability, and performance of software applications Analyze, interpret, and communicate qualitative and quantitative findings from tests and monitor bug resolution efforts and track results and known defects. Participate in design and code reviews to provide quality assurance feedback Conduct full regression testing as part of new release readiness Analyze test executions and product defects to understand root cause and improve software quality Develop and implement automated testing strategies for continuous integration Collaborate with customer support to reproduce and troubleshoot production issues Requirements 3+ years’ experience in software quality assurance 2+ years’ experience building and executing test plans 1+ years’ experience testing mobile applications an asset Solid understanding of QA best practices Experience with test case management tool such as TestMo, Qase, Charles, etc. Understanding of APIs, mobile app and web architecture Strong background in end to end manual testing including BE and FE Clear and proactive communication Understanding of automation frameworks Experience with automated testing tools an asset. Experience testing healthcare or supply chain systems an asset. Ability to analyze business requirements, create test cases and prioritize issues as needed Comfortable in fast-paced environments Benefits Health insurance Business travel when needed 3 weeks of vacation 10 sick days Flexible work hours Hybrid in Toronto or Montreal

Toronto, ON, Canada

Negotiable Salary

Commercial Manager63845392362497127

Commercial Manager

What is the opportunity? As the Commercial Manager, you will be leading a Commercial Management team and play a key role in the successful delivery of projects by managing their administrative and commercial activities, client relationships, and optimizing financial performance while ensuring compliance with Entuitive and industry standards and client requirements. You will work closely with corporate management, project managers, engineers, clients, and other stakeholders to develop and maintain Commercial Management Plans that govern project financial, contractual, and risk-mitigating strategies for complex transportation infrastructure projects. This is a key role in maintaining the reputation of Entuitive as a trusted partner within our client and consulting engineering community. Lead the development and implementation of commercial management strategies, plans and processes to maximize project and corporate success in alignment with industry standards, Entuitive policies and goals, and client requirements. Establish and implement commercial management governance frameworks to monitor contract compliance and financial performance. Develop and maintain comprehensive Commercial Management Plans to govern project financial, contractual, and risk strategies with integrated commercial processes across all project phases. Build and lead a commercial management team that includes purchasing and procurement coordinators, construction and design services contract specialists, project accountants, and financial analysts. Define corporate roles, responsibilities, and escalation procedures for commercial activities. Interface and coordinate with legal advisors, project managers, risk managers, schedulers, senior Entuitive management, contractors, stakeholders, and clients to report and advise on commercial performance, and making recommendations to ensure project success. Review and approve commercial contracts, project bonding and insurance requirements, JV and partnership agreements, and project-specific strategic plans and budgets. Lead and collaborate on claims and dispute management and negotiations with clients, contractors, lenders, and other stakeholders. Raise awareness with project teams and staff of the importance of early establishment of project contractual arrangements and agreements in compliance with Entuitive standards. Assist with external audits, conduct internal audits, and perform contract reviews to identify compliance issues, mitigate risks, and promoting continuous improvement. Maintain strong up-to-date knowledge of industry standards, best practices, and commercial regulatory requirements. Support business development efforts by advising on commercial management issues and evaluating opportunities in bid proposals. Provide leadership, mentorship, training, and performance reviews for the Commercial Management team. Requirements What do you need to succeed? Bachelor’s or Master’s degree in Business Administration, Construction Law, Finance, Engineering, or related fields. Minimum of 10 years of experience in a commercial management role within the consulting engineering, construction, or transportation infrastructure sectors. Deep understanding of alternative project delivery methods such as Progressive Design-Build, Alliance, Design Build, CMAR, Design-Build-Finance, and P3 and their implications for project contracts and agreements, risk, and financial performance. Familiarity with the technical aspects, phasing, and Work & Cost Breakdown Structures (WBS & CBS) of transportation infrastructure projects to evaluate associated risks and the requisite needs and impacts of changes to scope, quality, project Key Performance Indicators (KPIs), schedule, costs, and profitability. Proven experience in contract negotiation, cost control, variations management, claims management, contract and project risk assessments, and public and private sector procurements. Strong knowledge of contract law, commercial practices, bonding and insurance, cost management, project life-cycle cost analysis and evaluation, Rules of Credit, pain/gain share mechanisms, contract administration, procurement strategies, risk mitigation, and dispute management. MRICS and MCIPS professional certifications would be a plus. Familiarity with cost management tools, accounting systems, and financial software such as Vista Viewpoint ERP, InEight PM System, MS Dynamics, and project management platforms such as Primavera P6, SAP, or Oracle. Thorough knowledge of related technology and common data environment management standards, such as ISO 19650, providing a framework for the management and exchange of data and confidential information throughout the project lifecycle. Excellent leadership, team management, communications, presentation, negotiation, and interpersonal skills, with the ability to collaborate transparently and professionally with clients, partners, project teams, and stakeholders to build long-term relationships and trust. An analytical proactive mindset with critical decision-making capabilities and the ability, passion, and strategic foresight to anticipate and mitigate commercial management risks. Knowledge and interest related to embodied carbon is considered an asset Benefits Why Entuitive? Flexible working hours, 37.5 hour work week. Minimum 3 days a week in office. Building strong relationships and collaborating internally is important to us! Commitment to staff growth through mentoring and training. Employer paid medical, dental, and vision insurance premiums for employees and their dependents. Generous parental leave policy. RRSP matching up to 5%. Participation in our discretionary profit-sharing plan. Fun social events and team-building activities. About Entuitive We are deeply committed to fostering an inclusive, equitable, and accessible environment where all employees and clients feel valued, respected, and supported. Entuitive will ensure that reasonable accommodations are made to persons with disabilities during the recruitment and assessment processes. If you are excited about this opportunity and are interested in learning more about Entuitive, please check out our About Us page. At Entuitive, we prioritize human-centric evaluation methods and do not utilize AI for screening or recruitment processes.

Toronto, ON, Canada

Negotiable Salary

Senior Sofware Engineer - Search Engine63845391422339128

Senior Sofware Engineer - Search Engine

About Tripstack We are travel tech entrepreneurs, changing the way millions of people travel. Our proprietary virtual interlining technology provides access to billions of travel itineraries by combining flights from different airline carriers that don’t traditionally work together. We take our customers from point A to B via C, at the lowest possible price. We are impacting the way people travel and provide higher margin opportunities to our partners that are some of the largest in the travel industry. We pride ourselves on the performance-driven environment we have created for our teams to prosper and excel in. We come to work ready, to challenge and be challenged. We’re big enough to give our teams support but small enough that every person makes a difference. There are plenty of challenges to champion. The Role We are looking for a Senior Software Engineer to join our Search Engine team, contributing to the backbone of our platform that delivers highly scalable and performant travel data. This role is ideal for an engineer with a strong foundation in C# and experience building and maintaining web services and RESTful APIs. As part of a collaborative and technically curious team, you’ll play a key role in evolving our distributed systems, improving the reliability and performance of our services, and supporting our technology initiatives. Responsibilities: Develop and build scalable systems: Be at the forefront of designing, writing, reviewing, and testing code for robust systems that handle over 250 million requests daily. You'll play a crucial role in ensuring our systems remain reliable and high-performing even as our user base continues to grow. Drive Technological Innovation: Proactively identify opportunities to leverage cutting-edge technologies and push forward technical ideas that drive the company's growth. Your contributions will shape the technological landscape of our organization and drive us towards new heights of innovation. Champion Code Quality: Lead initiatives like test-driven development and promote a culture of quality code throughout the organization. You'll have the opportunity to influence best practices and ensure that our codebase remains clean, efficient, and maintainable. Collaborate Across Teams: Work closely with product managers and other development teams to deliver high-quality products that exceed customer expectations. By collaborating cross-functionally, you'll contribute to improving our internal KPIs and driving continuous improvement across the organization. Ensure Smooth Deployment: Coordinate and monitor regular releases to production, ensuring that deployments are seamless and minimize disruption to our users. Your attention to detail and proactive approach will play a key role in maintaining the stability and reliability of our live systems. Provide On-call Support: Participate in an on-call support rotation and collaborate with the team to address any incidents impacting our live systems. Your quick thinking and problem-solving skills will be essential in resolving issues promptly and minimizing downtime. Requirements Bachelor's degree or higher in Computer Science or related technical field experience 5+ years of experience developing web services and APIs using C# in a production environment 5+ years of experience and understanding of CS fundamentals including data structures, algorithms, and complexity analysis (time and space) Working knowledge of caching technologies such as Redis or Memcached 3+ years of experience and understanding of event processing platforms like Apache Kafka 5+ years of design and architecture knowledge as well as familiarity with object-oriented analysis and design patterns (OOA/OOD) Proven track record of taking ownership and successfully delivering results Good understanding of RESTful API design and HTTP fundamentals Experience working in a UNIX/Linux environment Understanding of performance trade-offs, load balancing and operational issues Ability to clearly and concisely communicate with technical and non-technical stakeholders across all levels of the organization Additional experience that would be considered an asset: Experience working on high-traffic B2B APIs or backend systems, with understanding of: Concurrency and thread safety Race conditions and deadlocks Distributed locking patterns Strong understanding on relational databases such as Postgres Experience with cloud platforms (GCP preferred; AWS/Azure also valuable) Familiarity with Docker, Kubernetes, Helm, and containerized deployments Experience with CI/CD tools like GitLab CI, Bitbucket Pipelines, or Concourse Understanding of gRPC and Protocol Buffers (Protobuf) Exposure to code quality and static analysis tools (e.g., SonarQube, Snyk) Experience working in globally distributed or remote-first engineering teams What is takes to succeed here Ambition and dedication to make a difference and change the way people travel. Where we always play to each other's strength in a high performing team reaching for our common goal. We hold ourselves to the highest expectations, and move with a sense of urgency and hold ourselves accountable and win by staying true to what we believe in. Learn more about our values Benefits We offer an opportunity to work with a young, dynamic, and a growing team composed of high-caliber professionals. We value professionalism and promote a culture where individuals are encouraged to do more and be more. If you feel you share our passion for excellence, and growth, then look no further. We have an ambitious mission, and we need a world-class team to make it a reality. Upgrade to a First Class team! At TripStack, we proudly believe in embracing diversity. This is true for our team, clients, communities and stakeholders. We are an equal opportunity employer and committed to creating a safe, healthy and accessible environment. We encourage applications regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or any other grounds protected by law. Please let us know if you need any accommodations during any part of the recruitment process. TripStack thanks all applicants for their interest, however only those selected to continue in the process will be contacted. Learn more about us at www.tripstack.com #LI-Hybrid #LI-CM1

Toronto, ON, Canada

Negotiable Salary

Mechatronics Engineer63845387196417129

Mechatronics Engineer

About Maneva Maneva, a startup founded by an ex-Google Deepmind researcher, is an AI service provider revolutionizing manufacturing operations with cutting-edge AI solutions for autonomous factory operation and optimization. Our solution generates AI-powered actions and insights using off-the-shelf hardware or existing vision systems for real-impact manufacturing problems in products and equipment inspection, production efficiency, safety, and more. What You'll Do As a Mechatronics Engineer at Maneva, you'll be the full-stack technical leader driving the complete integration of AI-powered systems into manufacturing environments. You will design, install, and integrate machine vision systems from the ground up — enabling manufacturers to identify defects (like imperfect chocolate bars) and optimize operations using Maneva's technology. Beyond hardware integration, you'll own, execute, and maintain the entire production software implementation, serving as the bridge between cutting-edge AI algorithms and real-world manufacturing applications. This role demands expertise across mechanical, electrical, and software domains. You'll travel to manufacturing sites, embed yourself into operations, and own full-cycle deployments that span hardware design, software development, system integration, and ongoing maintenance. From vision setup and PLC integration to deploying AI models and maintaining production software stacks, you will make our AI come alive on the line. Travel: Up to 50% (35%+ in territory, 15%+ out-of-territory), including travel to the U.S Key Responsibilities Take project ownership and architect end-to-end customer projects from design proposal through implementation and ongoing software maintenance, ensuring seamless integration of hardware and software systems Design and orchestrate AI vision system implementations by analyzing application requirements and generating hardware BOM for camera, lens, lighting, and compute component sourcing Develop, deploy, and maintain production software applications on Linux-based edge devices, including AI inference pipelines, image processing workflows, and system monitoring solutions Design and integrate AI vision systems with PLCs and existing industrial automation infrastructure, implementing robust software interfaces for real-time communication and control Communicate regularly with customers and internal stakeholders throughout the entire project lifecycle, providing technical leadership on both hardware and software aspects Deploy and maintain containerized applications using Docker, manage software updates, and ensure system reliability in production environments Navigate onsite networking, configure edge computing infrastructure, and implement secure, scalable software architectures Design signal integration and wiring for communication with sensors, I/O, and control systems while developing corresponding software drivers and interfaces Implement and maintain AI model deployment pipelines, including data preprocessing, real-time inference, and post-processing workflows using computer vision and machine learning frameworks Support plant walk-throughs and site assessments to identify high-impact AI use cases in the pre-sales process, providing technical expertise on both feasibility and implementation approaches Provide onsite support for data collection efforts in live production environments and develop software tools for training data management and model iteration Troubleshoot complex hardware-software integration issues and rapidly iterate on deployments based on real-world operational results Deliver comprehensive training to plant operators and managers on both system operation and software interfaces Document deployment configurations, software architectures, system performance metrics, and maintain technical documentation for internal use and customer value stories Requirements What We're Looking For Must-Haves Degree in Mechatronics, Electrical Engineering, Computer Engineering, Robotics, or related field – or equivalent technical industry experience combining hardware and software expertise Prior industry experience in industrial automation, machine vision, robotics, automotive, or related manufacturing technology fields Proven ability to handle complex projects as both project owner and technical lead, with direct customer engagement for technical coordination and feedback Strong programming skills in Python with experience in production software development and deployment Hands-on experience with Linux systems, command line operations, and system administration Experience with Docker containerization and deployment of applications in production environments Proficiency with computer vision libraries including OpenCV and image processing techniques Familiarity with machine learning frameworks such as TensorFlow and/or PyTorch for model deployment and inference Experience with NumPy and scientific computing libraries for data processing and analysis Experience with NVIDIA Jetson or similar edge computing platforms for AI deployment Experience with electrical wiring design, mechanical system integration, and understanding of manufacturing environments Proven ability to work independently in field environments and manage complex technical deployments Excellent communication skills for technical coordination with both technical and non-technical stakeholders Nice-to-Haves Experience with additional AI/ML frameworks and libraries (ONNX, TensorRT, OpenVINO, scikit-learn, Pandas) Proficiency in additional programming languages (C++, C#, JavaScript/Node.js for web interfaces) Experience with cloud platforms and services (AWS, Azure, GCP) for hybrid edge-cloud deployments Familiarity with embedded systems programming and real-time operating systems Experience with version control systems (Git), CI/CD pipelines, and DevOps practices Knowledge of industrial camera and image transport protocols (GenICam, GigE Vision, USB3 Vision) Experience with PLC integration protocols (Ethernet/IP, Modbus, Profinet, OPC-UA) and industrial control systems Database management experience (SQL, InfluxDB, MongoDB) for data storage and analytics Experience with message queuing systems (MQTT, RabbitMQ, Apache Kafka) for industrial IoT Familiarity with web frameworks (Flask, FastAPI, React) for building operator interfaces and dashboards Experience with monitoring and logging tools (Grafana, Prometheus, ELK stack) for production system management Knowledge of cybersecurity best practices for industrial systems Experience with fleet management and remote device management solutions Background in computer vision algorithms, deep learning model optimization, and edge AI acceleration Prior experience in food & beverage, CPG, automotive, or packaging manufacturing environments Experience in startup environments or cross-functional hardware/software product teams Understanding of lean manufacturing principles and continuous improvement methodologies Benefits Why Join Maneva? Work with cutting-edge Vision AI & IoT solutions that power autonomous manufacturing, robotics, and industrial automation. Opportunity to lead in a fast-growing AI company driving real-world impact in industrial AI adoption. Travel opportunities to industrial sites, tech conferences, and research labs. Collaborate with world-class engineers & AI experts in a dynamic, innovation-driven environment. Important Notice: Protecting Your Personal Information We are committed to ensuring the security and privacy of all applicants. Please be aware that our company will never ask for sensitive personal information, via email, phone call or text message. We also do not require payment from applicants for any part of the hiring process. If you are contacted by someone claiming to represent our company and asking for such information, please do not respond. Instead, report the incident to us immediately at IT-Security@Maneva.ai.

Toronto, ON, Canada

Negotiable Salary

Software Engineer638453872143391210

Software Engineer

About Maneva Maneva, a startup founded by an ex-Google Deepmind researcher, is an AI service provider revolutionizing manufacturing operations with cutting-edge AI solutions for autonomous factory operation and optimization. Our solution generates AI-powered actions and insights using off-the-shelf hardware or existing vision systems for real-impact manufacturing problems in products and equipment inspection, production efficiency, safety, and more. Requirements Role & Responsibilities On-Premise Infrastructure Architecture: Design and implement robust software infrastructure for deploying vision-based AI applications directly on manufacturing floor devices and edge computing platforms. Production Software Development: Build and maintain production-grade software applications on Linux-based edge devices, including AI inference pipelines, image processing workflows, and system monitoring solutions. Reliable Operations Management: Implement comprehensive monitoring, logging, alerting, and error recovery systems to ensure high availability and reliability of deployed AI systems in industrial manufacturing environments. Vision System Integration: Develop software interfaces for AI vision systems addressing manufacturing quality control, productivity optimization, safety monitoring, and equipment uptime challenges. Data Platform Development: Contribute to building AI-powered platforms that provide data analysis for connected facility operations, including data collection, processing, and analytics pipelines. IoT & Fleet Management: Build and support device management systems for on-premise AI deployments, including remote monitoring, configuration management, and fleet-wide software orchestration across manufacturing sites. OTA Deployment Systems: Design and implement over-the-air software update mechanisms for distributed on-premise devices, ensuring safe and reliable remote updates with minimal production disruption. Industrial Integration: Collaborate with hardware teams to integrate AI applications with PLCs, existing industrial automation infrastructure, and manufacturing execution systems. Performance Optimization: Profile and optimize software performance for resource-constrained edge environments and real-time processing requirements in manufacturing settings. Must-Have Strong proficiency in Python for production software development and system architecture Proven experience architecting and building successful infrastructure solutions that ensure uptime and reliability of real-time on-premise applications 3–5 years of experience in building production-grade software systems, preferably for industrial or manufacturing environments Cloud computing experience with major platforms (AWS, Azure, GCP) for hybrid edge-cloud deployments and infrastructure management Hands-on experience with Linux systems, command line operations, and system administration for edge computing platforms Experience with containerization technologies (Docker) and deployment of applications in production environments Understanding of computer vision workflows and AI inference pipelines for manufacturing applications Knowledge of application reliability principles: monitoring, alerting, graceful degradation, error recovery, and system health management Understanding of manufacturing environments and challenges related to quality control, productivity, safety, and equipment uptime Strong debugging and problem-solving skills in production environments with minimal downtime tolerance Strongly Preferred Full-stack web development experience with TypeScript and React for building operator interfaces and dashboards Experience with IoT protocols and device management for industrial environments (MQTT, HTTP/REST APIs, industrial networking) Experience with over-the-air (OTA) software deployment and update mechanisms for on-premise industrial devices Experience with NVIDIA Jetson or similar edge computing platforms for AI deployment in manufacturing Knowledge of industrial automation protocols (Modbus, Ethernet/IP, OPC-UA) and PLC integration Nice To Have Experience with time-series databases and analytics platforms for manufacturing data (InfluxDB, Grafana, Prometheus) Background in computer vision libraries (OpenCV) and machine learning frameworks (TensorFlow, PyTorch) deployment Familiarity with manufacturing execution systems (MES) and quality management systems Experience with device management platforms for industrial IoT deployments Understanding of cybersecurity best practices for on-premise industrial systems Knowledge of data pipeline architectures for connected facility analytics Experience in food & beverage, CPG, automotive, or packaging manufacturing environments Preferred Candidate Profile On-Premise Deployment Experience: Candidates who have deployed and maintained software systems directly in industrial/manufacturing environments, addressing network constraints, security requirements, and uptime expectations Production Reliability Background: Experience in production systems where downtime has direct business impact (manufacturing, industrial automation, critical infrastructure) Vision/AI Application Deployment: Experience deploying computer vision or AI applications in real-world production environments, with an understanding of model performance, data quality, and system integration challenges Manufacturing Domain Knowledge: Understanding of manufacturing processes, quality control requirements, and operational constraints in production environments Infrastructure Mindset: Candidates who prioritize system architecture, scalability, monitoring, and long-term maintenance—not just feature development Edge Computing Experience: Familiarity with resource-constrained environments, edge device management, and distributed system challenges in industrial settings Benefits Why Join Maneva? Work with cutting-edge Vision AI & IoT solutions that power autonomous manufacturing, robotics, and industrial automation. Opportunity to lead in a fast-growing AI company driving real-world impact in industrial AI adoption. Travel opportunities to industrial sites, tech conferences, and research labs. Collaborate with world-class engineers & AI experts in a dynamic, innovation-driven environment. Important Notice: Protecting Your Personal Information We are committed to ensuring the security and privacy of all applicants. Please be aware that our company will never ask for sensitive personal information, via email, phone call or text message. We also do not require payment from applicants for any part of the hiring process. If you are contacted by someone claiming to represent our company and asking for such information, please do not respond. Instead, report the incident to us immediately at IT-Security@Maneva.ai.

Toronto, ON, Canada

Negotiable Salary

Full Stack Developer638453833240351211

Full Stack Developer

About Borrowell: At Borrowell, we’re on a mission to help Canadians feel confident about their money. We empower individuals to take control of their financial futures by providing the tools and insights needed to understand, build, and use their credit effectively. 1 in 10 Canadians use Borrowell for comprehensive credit monitoring and personalized insights. Our innovative services, including Credit Builder and rent reporting, help consumers build credit so they can unlock access to a wider range of financial products at more competitive rates. Additionally, we offer personalized financial product recommendations from Canada’s most trusted providers based on each member’s credit profile and financial goals. Our team is diverse, inclusive, and driven by a shared passion for making a meaningful difference in the lives of Canadians. We pride ourselves on fostering a culture of collaboration, humility, and innovation. If you’re looking to join a company that’s transforming the financial landscape and empowering Canadians to achieve their financial aspirations, we invite you to explore career opportunities at Borrowell. Together, we can help Canadians feel confident about money. About the Role: As a Full Stack Developer on Borrowell’s Engineering team, you will design, develop, optimize, test, and maintain application code for in-house web and mobile products. You will ensure that software meets both the technical and business requirements that guided its design. You will be involved in the technical roadmap of upcoming net new products and you will see how your hard work directly impacts the lives of 3 million people using the Borrowell marketplace. Specifically, maintenance of existing products will happen in any role, but this isn't one of those roles where the majority of your job is maintaining something that was already created. Instead, a large chunk of your time will be spent on working in cross-functional teams (with Product, Engineering, QA, Automation, and others) to experiment, explore, and build new products and functionalities from the ground up. Requirements Working experience building scalable web micro frontend applications on the cloud, preferably in microservices architecture. Our back end is .NET 8 on Azure, but we are open to all technical backgrounds. Knowledge of modern JavaScript front-end frameworks. We primarily use React, React Native (Expo), and Typescript, with some Angular. Nice to Have Knowledge of Microsoft Azure Demonstrated proficiency with SQL and NoSQL databases Turborepo knowledge Our Engineering Team Values We work well as a team and collaborate always! We are humble and open to each others' ideas and opinions We are not afraid of making mistakes and we are always learning We are persistent about solving problems we are facing Change is good and welcomed We are always willing to take on new challenges We are not afraid to say, "I don't know," or, "I need help" We take ownership over our platform and the work that we deliver We communicate clearly to ensure we collaborate well We find the simplest solutions possible for the hardest problems The Interview Process We believe in fast, lean, and efficient processes and that trickles into every aspect of our work, including hiring. That means we don't think you need to jump through 8 hoops to land the role. Interviewing for this role is typically done in 3 steps: A phone call with a recruiter A technical coding challenge and discussion that is grounded in being practical, realistic, and open book - we're trying to understand your skills holistically, not trying to see how much you can memorize algorithms A conversation with 1-2 senior leaders That's it! After each step, we will follow up within the week. Benefits The Opportunity - join and have a major impact at a growing company that is helping make financial stability possible for everybody Comprehensive Health Benefits - medical, dental, vision, and paramedical health benefits for you and your family, with extra yearly coverage for psychotherapists and massage therapists Additional Health Benefits - virtual benefit offering that allows you to connect 24/7 with nurses, doctors and mental health professionals Maternity & Parental Leave Top-up - available to new parents Wellness Benefit - $600 annually to spend on whatever brings you joy WFH Reimbursement - we ship you gear like a laptop, mouse, keyboard, and you can reimburse additional items to make your workplace better for you Employee Development Benefit - annual reimbursements on payments to help your learning Givewell Benefit - 1 paid volunteer day a year to give back to the community Flexibility - flexible working hours and a flexible vacation policy We are remote-first across Canada with an office in Toronto. This role will require you to attend in-person meetings and team-building events. At Borrowell, one of our core values and firm beliefs is that diversity makes us better. If you’re unsure about your qualifications for this position, we’d still encourage you to apply. We’re looking for candidates who have experience, but know that not everyone’s had a chance to demonstrate what they can do. What’s most important is that you have a growth mindset and care about helping people with their finances - an area in their lives that causes a lot of stress. Please note that due to the sensitive nature of the work we do, clearing a credit and criminal record check is a condition of employment. Borrowell encourages applications from candidates with differing abilities. Please let us know if you require accommodation at any stage in the selection process.

Toronto, ON, Canada

Negotiable Salary

DevOps Engineer638453809542411212

DevOps Engineer

Our team is looking for a DevOps engineer with at least 6 years cloud and Kubernetes experience including specialization in ArgoCD. Our project involves building automations for a greenfield managed service product in AWS and we are looking for candidates who are interested in building GitOps solutions. Core Technical Skills: DevOps Engineer with ArgoCD and GitOps Focus Required: Understanding of GitOps principles Strong familiarity with AWS. Automation of application deployment by integrating ArgoCD with Git. Creating and managing ArgoCD applications including synchronization strategies, and resource hooks Optimizing ArgoCD for performance and scalability Collaborating with development and operations teams to ensure alignment with application requirements Ability to troubleshoot synchronization issues, network connectivity, Kubernetes resource configurations in context of ArgoCD Strong understanding of Kubernetes infrastructure. Experience with languages like Bash, Python, or Go for automating tasks and extending Argo CD functionalities. Monitoring and logging tooling for observing ArgoCD and deployed applications. Nice to Have: Previous experience building SaaS solutions and automation solutions. Deploying/managing ArgoCD in support of production systems including HA/DR approaches. Experience/exposure with Akuity. Terraform for managing underlying infrastructure.

Toronto, ON, Canada

Negotiable Salary

Director of Engineering638453779285791213

Director of Engineering

Intuition Machines uses AI/ML to build enterprise security products. We apply our research to systems that serve hundreds of millions of people, with a team distributed around the world. You are probably familiar with our best-known product, the hCaptcha security suite. Our approach is simple: low overhead, small teams, and rapid iteration. As Engineering Director, you will organize engineering efforts. This involves ensuring timely delivery of customer needs while upholding high code quality, security, and service availability standards. Additionally, you'll serve as a domain expert to review and guide architecture and implementation for our initiatives. What will you do: Lead the recruitment, motivation, and management of highly technical teams focused on delivering online security and machine learning products at scale. Act as a liaison between product, engineering, customers, and sales to articulate and translate both complex business requirements and technology solutions into useful products. Maintain a high level of assurance and software quality standards while maintaining development velocity; availability is core to nearly every requirement. Define, drive, and govern automation and instrumentation to ensure we maintain high observability and automate break-fix as much as possible. In partnership with sales and product teams, model go-to-market strategies for new offerings, oversee architecture, boost client acquisition capabilities, and improve delivery. Implement effective hiring and onboarding strategies. What we are looking for: A minimum of 5 years of hands-on experience leading engineering teams of 20-60 people. Familiarity with high availability and high-security development processes, supported by strong knowledge of Python, NodeJS, and, ideally, C/C++, Go, or Rust. Experience and demonstrated success with DevOps/systems integration, lightweight development practices, meeting strong SLAs, test-driven design in large scale internet-facing systems. Familiarity with distributed systems design on orchestration platforms like Kubernetes: queue-first architectures, sharding, etc. Strong interpersonal skills, ability to communicate effectively with both technical and non-technical audiences. Demonstrated architecture and business/product need mapping expertise: gathering requirements, problem-solving, and reasoning about the best way forward given needs, timeline, and available resources. What do we offer: Fully remote position with flexible working hours. An inspiring team of colleagues spread all over the world. Pleasant, modern development and deployment workflows: ship early, ship often. High impact: lots of users, happy customers, high growth, and cutting edge R&D. Flat organization, direct interaction with customer teams. We celebrate diversity and are committed to creating an inclusive environment for all members of our team. Join us as we transform cyber security, user privacy, and machine learning online!

Toronto, ON, Canada

Negotiable Salary

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