Top AWS Jobs in Ottawa

Lead Affirm’s enterprise AI security review program, threat-model AI and LLM applications, assess agentic systems and tool permissions, and design automated guardrails, controls, monitoring, and policy-as-code. Review code, prompts, configurations, vendors, and SaaS AI capabilities; develop testing and red-team scenarios; identify emerging vulnerabilities; support incident response; and lead cross-functional initiatives across Security, Engineering, Legal, Privacy, and Compliance.

Design and build scalable backend systems, APIs, data models, event-driven services, experimentation platforms, and personalization systems. Partner with Product, Data Science, Analytics, and Design teams to support customer acquisition and engagement. Establish secure, observable, high-performance engineering practices, mentor junior engineers, and participate in monitoring, on-call, and operational support.

Design, build, operate, and scale GitLab Orbit backend services in Rust across distributed cloud-native environments. Improve Kubernetes deployments, infrastructure automation, observability, reliability, incident readiness, multi-tenant isolation, data workflows, graph query capabilities, indexing pipelines, cloud storage integrations, and API/MCP surfaces. Own technical designs through rollout while collaborating asynchronously with infrastructure, security, AI, data, delivery, and SRE teams.

Leads Docker’s Partner Solution Engineering organization, developing technical teams and scalable enablement programs for ISVs, cloud providers, systems integrators, and VARs. Drives partner technical readiness, solution validation, joint go-to-market initiatives, co-selling, integrations, and revenue impact. Collaborates with Sales, Product, Engineering, Marketing, and Alliances to influence roadmaps, support partner events, and establish measurable engagement and enablement processes.

Design and implement scalable, fault-tolerant security solutions protecting enterprise data across clouds, SaaS applications, and AI agents. Build agentic security capabilities, integrate large-scale third-party data sources, develop RESTful APIs and microservices, optimize distributed systems, and create secure software resilient to attacks and high-volume endpoint communication.

Design, build, and operate AlphaSense’s identity platform spanning user management, authentication, and authorization. Develop scalable APIs and self-service systems using GraphQL, gRPC, and REST; implement secure access models and identity protocols; partner with security teams on SOC2 and GDPR compliance; define long-term platform roadmaps; and drive projects autonomously while collaborating with Helsinki-based engineers. Champion automated testing, observability, reliability, and secure-by-design engineering practices.

Designs, operates, and scales multi-region AWS infrastructure and Kubernetes clusters for large-scale autonomous-system simulation workloads. Responsibilities include Terraform infrastructure, networking, GitOps deployments, incident response, observability, IAM governance, security and compliance support, CI/CD improvements, and developer tooling. The role also supports GPU, batch, and Windows workloads on Kubernetes while driving reliability and cost optimization across production systems.

Build and scale the application security program by integrating SAST, DAST, and SCA tooling into CI/CD pipelines; define Secure SDLC processes and threat modeling practices; manage bug bounty triage and metrics; conduct Java and Python code reviews; deliver secure coding training; develop security champions; and support vulnerability disclosures and security communications.

Build scalable full-stack web applications, APIs, and services supporting relationship, deal, and workflow management. Design systems using React, TypeScript, Next.js, and Node.js; contribute to architecture, cloud infrastructure, CI/CD, and developer tooling; and partner with product and design teams. The role includes modernizing legacy applications, developing AI-powered features, translating operational needs into technical solutions, and mentoring early-career engineers.

Build scalable full-stack web applications, APIs, and foundational internal platforms for entertainment-industry workflows. Responsibilities include frontend and backend development with React, TypeScript, Next.js, and Node.js; architectural contributions; cloud infrastructure and CI/CD improvements; legacy application modernization; AI-powered feature development; and collaboration with product and design teams. The role also mentors junior engineers and helps establish engineering practices in a growing organization.

Own end-to-end AI workflows, designing and operating agentic and LLM-based systems in production. Build reliable pipelines with structured outputs, validation, fallbacks, evaluations, observability, and audit trails. Integrate AI services with backend systems while managing cost, latency, data isolation, and regulated-finance requirements. Establish engineering patterns, review system designs, and mentor teams on effective use of coding agents and AI tools.

Drive partner-sourced and outbound enterprise business development across Financial Services and Life Sciences. Qualify leads, conduct discovery, scope AI consulting opportunities, manage proposals and signed SOWs, maintain partner pipelines, and build relationships with AWS and Anthropic field teams. Collaborate with architects and delivery leaders, support co-selling and partner programs, and develop an enterprise client network. The role offers a path toward full-cycle enterprise sales ownership.

Own the technical aspects of enterprise airline deals from qualification through deployment and expansion. Design integration and cloud architectures, lead demos and proofs of concept, respond to RFPs and security questionnaires, review technical contracts, and ensure customer commitments align with engineering capabilities. Build reusable technical assets, support adoption, and communicate customer requirements to product and engineering teams.

Develops backend software prototypes, evaluates architecture and technology solutions, researches emerging technologies, and tests prototypes for functionality, performance, and scalability. The role supports long-lead design and innovation initiatives within Kinaxis’s Architecture & Innovation team. Candidates should be computer science students or recent graduates with software development experience, cloud familiarity, and a willingness to experiment with modern technologies.

Build and maintain secure, scalable APIs and infrastructure for an AI-powered fintech platform. Develop features across the stack, integrate third-party APIs, deploy infrastructure with Terraform, apply compliance and security practices, and support customers as a technical point of contact. The role involves close collaboration with the CTO in a greenfield, early-stage startup environment.

Design and optimize large-scale AI training, inference, GPU infrastructure, and MLOps systems for CBC/Radio-Canada’s media production environments. Architect integrations with PAM, MAM, studios, Avid, Dalet, Adobe, and live media workflows. Lead performance, scalability, security, reliability, and observability initiatives while mentoring engineers and data scientists. Evaluate AI frameworks, cloud platforms, orchestration tools, agent protocols, and model-serving architectures, and communicate technical strategies to decision-makers.

Develop and deliver features for large-scale web applications using full-stack technologies across React, TypeScript, Node.js, Microsoft, and cloud stacks. Collaborate in agile Scrum or Kanban teams with architects, QA, product management, and stakeholders. Contribute to CI/CD, DevOps, troubleshooting, performance, security, and continuous improvement while building high-quality software solutions.

Build and operate infrastructure and core software components supporting Tailscale’s product and internal teams. Responsibilities include improving observability, CI/CD, cloud infrastructure, managed services, Kubernetes operations, scalability, stability, and automation. The role includes incident response, customer support escalations, cross-functional collaboration, documentation, and end-to-end ownership of infrastructure projects in a fully remote startup environment.

Leads the design and development of a highly distributed edge computing platform using Go, Kubernetes, microservices, and cloud technologies. Responsibilities include building scalable and fault-tolerant systems, designing APIs, conducting code reviews, troubleshooting complex distributed software issues, optimizing performance and security, collaborating cross-functionally, mentoring engineers, planning projects, and maintaining technical documentation.

Develop and support a cloud-native workload credentials management solution within a SaaS platform. Responsibilities include designing scalable full-stack services, orchestration, APIs, distributed systems, and microservices; providing technical leadership; leading projects through delivery; collaborating cross-functionally; mentoring engineers; and applying engineering best practices. The role requires extensive Go development, cloud and SaaS expertise, modern JavaScript frameworks, and experience operating enterprise systems at scale.

Build and operate Resend’s scalable AWS platform, infrastructure, tooling, and self-service workflows. Responsibilities include infrastructure as code, platform standards, observability, reliability improvements, incident response, automation, and collaboration with engineers across the company. The role requires expertise in distributed systems, cloud infrastructure, networking, delivery pipelines, and production operations, with opportunities to work on high-throughput systems and developer tooling.

Own and secure foundational cloud platform infrastructure across container security, Kubernetes operations, identity and access management, and infrastructure automation. The role involves hardening base images, enforcing Kyverno policies, maintaining Keycloak authentication, operating AWS infrastructure, building Python and Go tooling, leveraging AI for automation, remediating vulnerabilities, supporting CI/CD, and participating in on-call incident response.

Conduct autonomous hardware and software penetration tests of IoT, embedded, ICS/OT, and automotive systems. Extract and analyze firmware, reverse engineer binaries, assess wireless, vehicle, industrial, network, cloud, and mobile attack surfaces, and review source code and SBOMs. Produce CVSS-rated reports with remediation guidance and VEX justifications, support customer briefings, and contribute to security tooling, research, methodologies, and platform improvements.

Conduct autonomous hardware and software penetration tests of IoT, embedded, ICS/OT, and automotive systems. Extract and analyze firmware, assess wireless, vehicle, industrial, network, cloud, and mobile attack surfaces, review source code and SBOMs, identify and validate vulnerabilities, and produce customer-facing reports with CVSS ratings, VEX justifications, and remediation guidance. Support scoping, debriefs, peer reviews, methodology improvements, tooling, research, and platform enhancements.

Conduct autonomous hardware and software penetration tests of IoT, embedded, ICS/OT, and automotive systems. Extract and reverse-engineer firmware, assess wireless, vehicle, industrial, network, cloud, and mobile attack surfaces, review source code and software components, and identify exploitable vulnerabilities. Produce CVSS-scored reports with remediation guidance and VEX justifications, lead customer debriefs, peer-review deliverables, and contribute to security tooling, research, and platform improvements.