Top AWS Jobs in Ottawa

Build and operate full-stack features across TypeScript, Node.js, React, and Rust services. Own development from design through production, including APIs, webhooks, integrations, testing, CI automation, code review, refactoring, troubleshooting, and on-call support. Improve agentic development workflows and quality practices, expand automated coverage, and collaborate with distributed product and engineering teams in an Agile/Scrum environment.

Owns BeyondTrust’s product vulnerability management program end to end, including FedRAMP 20x continuous monitoring, risk assessment, remediation, exception handling, metrics, evidence, and reporting. The role establishes processes for new products, automates triage and reporting, partners with Security Engineering on integrations, drives remediation across engineering teams, and leads response to actively exploited and zero-day vulnerabilities.

Develop and maintain high-performance web frontend applications and backend services for a collaborative XR platform. Lead complex cross-team projects, shape cloud and web architecture, optimize browser and XR headset performance, and translate business requirements into product features. The role requires expertise in JavaScript, React, TypeScript, browser performance, distributed systems, real-time communication, AWS, and Electron, with preferred experience in 3D web technologies, cloud-native architecture, databases, containers, game engines, CI/CD, and observability.

Own the roadmap and product strategy for DigiCert’s DNS and digital trust portfolio. Translate customer needs, market trends, telemetry, and technical capabilities into requirements, metrics, and secure cloud-native products. Partner with engineering, security, architecture, sales, marketing, and customers to deliver API-first infrastructure, validate concepts, launch products, and drive adoption. The role emphasizes trusted discovery, policy enforcement, reliability, security, experimentation, and emerging agentic use cases.

Develop, test, deploy, and maintain scalable full-stack software using the MEAN stack. Contribute to system architecture, performance optimization, security, reliability, code reviews, and continuous process improvement. Collaborate with product managers, designers, and engineers to deliver user-focused features. Apply AI-assisted development tools, explore LLM integrations and automated testing, and mentor teammates on modern engineering practices.

Join the Platform squad to build and maintain a Typescript-based serverless microservices platform on AWS. Improve cloud availability, security, CI/CD, public APIs, data pipelines, internal DevOps libraries, and developer tooling while collaborating across product and engineering teams.

Leads Versapay’s enterprise data strategy, architecture, governance, quality, accessibility, and AI readiness. Builds unified data infrastructure, semantic models, catalogs, asset registries, and governance standards while enabling secure internal and commercial data products. Partners with Product, Engineering, Commercial, Finance, and Legal, and leads the Data Platform Team. Owns data maturity roadmaps, warehouse cost management, AI infrastructure readiness, and executive-level data strategy.

Design, develop, and maintain secure, scalable backend systems, APIs, databases, integrations, and services. Provide technical direction, lead architecture discussions, coordinate complex initiatives, manage dependencies, review code, improve performance and observability, respond to production incidents, maintain tests and CI/CD workflows, and mentor engineers. Collaborate remotely with Product, Operations, and engineering teams to deliver reliable software.

Lead the deployment of AI solutions for public sector clients, ensuring compliance with security standards while integrating AI into enterprise workflows.

Design, build, and maintain scalable full-stack web applications and APIs using React, TypeScript, Next.js and Node.js. Own features end-to-end, collaborate with product and design, improve CI/CD and developer tooling, migrate legacy systems, and mentor junior engineers while leveraging AI-assisted development.

Leads the architecture and hands-on evolution of Kinaxis Maestro’s cloud-native core platform. Designs distributed database, storage, query execution, and data-processing systems for massive scale, elasticity, performance, resilience, and cost efficiency. Guides architectural standards across Product R&D, prototypes and implements solutions, mentors senior engineers, and influences technical direction across teams. Requires deep expertise in distributed production systems, cloud platforms, concurrency, consistency, and high-performance backend development using Go, C++, or similar languages.

Owns the vision, strategy, roadmap, and outcomes for major Maestro platform capabilities. Leads customer discovery, platform architecture decisions, AI agent capabilities, data product integration, developer tooling, and enterprise adoption. Partners with engineering, data, cloud, and go-to-market teams to deliver scalable APIs, SDKs, services, and administration experiences. Requires 8+ years of product management experience, strong AI and modern data platform knowledge, technical fluency, and the ability to influence senior stakeholders.

Designs and operates scalable AWS infrastructure, builds containerized systems with Docker and Kubernetes, manages Terraform infrastructure as code, improves Jenkins and GitHub Actions CI/CD pipelines, and implements monitoring, logging, troubleshooting, and root cause analysis. The role partners with engineering teams to improve reliability, security, performance, and deployment workflows in complex SaaS environments.

As a Senior Software Engineer on the Cash App Banking team, you will lead the design, execution, and delivery of banking features, collaborating across teams to enhance the user experience.

Build and operate scalable data pipelines supporting batch and streaming workloads, AI and ML systems, analytics, and sports intelligence products. Responsibilities include ETL/ELT development, data modeling, orchestration, retrieval pipelines, data quality, lineage, monitoring, infrastructure optimization, and collaboration with ML, product, and analytics teams.

Designs and operates scalable ML infrastructure, including training, serving, inference, orchestration, and deployment pipelines. Optimizes GPU and CPU workloads, manages cloud clusters, implements observability and SLOs, and secures automated CI/CD and infrastructure-as-code workflows. Partners with research and AI engineering teams to productionize models, while building reusable tooling, templates, and runbooks. The role also supports low-latency model serving, data quality, model promotion, and cost optimization.

Lead a backend engineering team owning the creative pipeline for high-throughput, low-latency adtech services. Drive roadmap execution, run agile rituals, mentor engineers, participate in architecture and code reviews, handle incidents and on-call, coordinate cross-team dependencies, and support hiring and onboarding.

Build and operate production systems for Juniper Square’s AI Platform, including APIs, infrastructure, reusable frameworks, and AI/LLM capabilities. Own projects end to end, ensure reliability and observability, contribute to technical design, and support incident response. Collaborate with product, design, QA, and engineering teams while applying AI-native development practices. The role requires strong Python backend engineering, cloud-native technologies, databases, production operations, and hands-on experience with RAG, agents, evaluation workflows, or related AI systems.

Design, build, deploy, operate, and maintain scalable cloud-based web services, APIs, microservices, tools, and internal systems using Go. Improve code quality, testing, deployment automation, monitoring, and engineering processes. Collaborate with stakeholders and engineering teams, make data-informed product decisions, troubleshoot complex issues, and mentor colleagues while delivering production-ready solutions in an agile environment.

Build and scale AI-agent infrastructure, including orchestration, tool calling, context management, guardrails, evaluations, and LLM-as-judge pipelines. Develop Python and Node.js microservices, Laravel APIs, AWS infrastructure, and optimized MySQL systems. Diagnose agent failures, improve prompts and tools, maintain reliability and observability, contribute to architecture, review code, collaborate cross-functionally, and mentor engineers.

Develop responsive, production-ready front-end applications for a modern document authoring platform. Translate UX/UI and Figma designs into accessible interfaces, build authoring workflows, integrate RESTful APIs and backend services, and support AWS-hosted environments. The role includes front-end architecture, component-based development, state management, troubleshooting, performance optimization, code reviews, and cross-functional collaboration while delivering a scalable MVP in an Agile environment.

Own the strategy, architecture, evaluation, and production delivery of Jerry.ai’s AI agents and workflow automation platform. Lead chatbot, voicebot, computer-use agent, document validation, transaction orchestration, and external system automation initiatives. Evaluate emerging AI technologies, make technical investment decisions, partner with OpenAI, and collaborate closely with engineering and prompt engineering teams. The role requires hands-on experience launching LLM systems and managing evaluations, regressions, latency, cost, and failure handling.

Own the strategy, architecture, evaluation, and production deployment of Jerry.ai’s next-generation AI agents and workflow automation platform. Lead conversational agents, voicebots, computer-use agents, document validation, transaction orchestration, and external insurance-system integrations. Evaluate emerging AI technologies, make technical investment decisions, partner with engineering and OpenAI, and ensure systems meet requirements for reliability, latency, cost, regression prevention, and failure handling.

Design, build, and operate backend product capabilities for hospitality workflows using PHP, Java, APIs, data models, and event-driven systems. Own technical design through production, including infrastructure, deployment, observability, testing, incident response, and on-call support. Improve distributed-system scalability, reliability, security, and maintainability while collaborating with Product, Design, Infrastructure, Security, and Engineering teams. Mentor peers and contribute to architecture, code reviews, and pragmatic product delivery.

Design, build, and operate backend product capabilities and distributed systems using PHP and Java. Develop APIs, data models, integrations, asynchronous workflows, and event-driven services with PostgreSQL, Kafka, REST, and gRPC. Own technical design through production, including infrastructure, deployments, observability, testing, incident response, and on-call support. Collaborate cross-functionally, make architectural decisions, mentor engineers, and use AI coding agents to deliver reliable customer-facing solutions.