Top AWS Jobs in Ottawa

Own the vision, roadmap, and delivery of AI and analytics capabilities for an enterprise EHSQ SaaS platform. Lead customer and market discovery, prioritize backlogs, define product metrics, and partner with engineering, data science, architecture, design, sales, marketing, and services teams. Drive AI feature launches, adoption measurement, governance, enablement, pricing, and executive communications while ensuring trustworthy, explainable, and compliant product experiences.

Build and operate full-stack services for non-human identity governance across cloud and on-premises environments. Responsibilities include developing APIs, backend services, data pipelines, and occasional UI features; owning features through production; participating in design and code reviews; resolving reliability issues; applying secure development, testing, and observability practices; and mentoring engineers.

Designs, develops, tests, and deploys scalable full-stack web applications using Java, Spring, React, jQuery, and SQL. Builds secure, high-performance backend services and REST APIs, develops responsive front-end components, optimizes relational database queries, supports CI/CD and automated testing, participates in code reviews, and collaborates with product, data, and design teams. The role also includes mentoring junior developers and contributing to architecture and coding best practices.

Leads finance transformation for hyperscaler marketplace operations, designing scalable financial systems, automating marketplace workflows, integrating AWS, GCP, and Azure platforms, and building transaction data pipelines. Oversees revenue recognition, ASC 606 compliance, reconciliations, billing integrity, and marketplace fee tracking. Partners across Finance, Sales Operations, Product, Engineering, and IT while managing UAT, change initiatives, and SOP development for new marketplace capabilities.

Build and deploy production GenAI systems, agentic workflows, retrieval pipelines, and data services for enterprise customers. Learn operational domains firsthand, redesign business processes, create evaluation harnesses, write production Python or TypeScript, and deliver observable AWS-based systems. Partner with executives, engineers, and operators to drive adoption and measurable business outcomes while contributing reusable industry blueprints.

Own two revenue motions: convert Anthropic and AWS partner-sourced enterprise leads into consulting clients and independently build pipeline in Financial Services and Life Sciences. Manage relationships with partner and field sales teams, lead co-selling and joint go-to-market activities, run discovery through signed SOW, prospect enterprise decision-makers, scope consulting proposals with delivery teams, and provide market intelligence to leadership. Travel up to 40% for customer and partner engagements.

Maintain and improve reusable GitLab CI/CD components and templates; design and optimize pipelines for Java/Maven apps; manage runners, registries and artifacts; improve pipeline performance and security; troubleshoot build and pipeline issues; collaborate with Development, Security, SRE and Platform teams; coach and document CI/CD best practices to enable teams to own their pipelines.

Lead infrastructure strategy and architecture across AWS, platform engineering, deployment pipelines, and infrastructure as code. Build scalable cloud infrastructure, internal tools, automation, and backend services that improve developer productivity and operational efficiency. Partner with engineering and data teams, establish observability and operational best practices, mentor engineers, and make architectural tradeoffs balancing cost, performance, security, and development speed.

Define product strategy, vision, roadmaps, success metrics, and delivery plans for complex client engagements. Lead discovery, prioritization, stakeholder alignment, executive communication, and cross-functional collaboration across engineering, design, delivery, and strategy. Build trusted client relationships, facilitate workshops, mentor PMs, establish delivery standards, and resolve complex product and technical challenges. Apply AI tools such as Claude to accelerate research, discovery, synthesis, and documentation.

Own and improve AWS infrastructure, shared platform services, infrastructure-as-code workflows, Kubernetes deployments, observability, and operational reliability. Troubleshoot distributed systems, support incident response, establish infrastructure standards, and partner with engineering teams on resilient, scalable system design.

Build and operate production systems for agentic development experiences, including agent execution, tool use, context management, streaming, integrations, and long-running workflows. Extend provider-agnostic model architecture and connect agents with workspaces, tools, and developer infrastructure. Own projects through rollout, collaborate with Product and Design, participate in reviews, and improve system reliability, performance, and operability.

Build and operate mission-control software and distributed microservices supporting satellite scheduling, tasking, telemetry processing, and fleet operations. Responsibilities include designing HTTP APIs, selecting technologies, deploying critical infrastructure, maintaining automation, and collaborating with satellite operations, ground systems, pipeline, and product teams. The role requires Python, relational databases, testing, CI/CD, Docker, GitLab CI, Linux, and strong communication skills, with cloud, infrastructure-as-code, monitoring, microservices, and aerospace experience preferred.

The Senior Forward Deployed Engineer manages client relationships, architecting, building, and closing deals while ensuring autonomous delivery of AI solutions. Responsibilities include discovery, architecture reviews, and capability transfer to clients, requiring significant engineering and client-facing experience.

Build and deploy applied machine learning models and data-driven systems that classify, cluster, label, and enrich Internet-observed assets. Develop feature pipelines, training datasets, evaluation frameworks, confidence scoring, and production inference services. Collaborate with engineering, research, security, and product teams to transform raw Internet telemetry into high-quality datasets and customer-facing insights.

Industry Expert who reviews and defends advanced AI, ML, distributed systems, and forward-deployed engineering projects. Responsibilities include challenging architecture decisions, chairing mock review boards and executive presentations, hosting one or two technical sessions monthly, and serving as the escalation point for instructors. The role requires production-scale engineering judgment, strong technical communication, and expertise in agentic systems, LLM evaluation, infrastructure, observability, model serving, RAG, or enterprise deployments.

Design, build, deploy, and optimize production-grade AI systems, including LLM applications, autonomous agents, multi-agent workflows, machine-learning models, data and inference pipelines, and evaluation frameworks. Develop secure, scalable AI services using retrieval-augmented generation, tool calling, orchestration, and model fine-tuning. Monitor reliability, performance, safety, cost, and business outcomes while applying governance, observability, and responsible AI practices.

Own and scale Nango’s cloud platform, including compute, networking, data infrastructure, Kubernetes, IaC, and GitOps. Lead BYOC and private-cloud deployments, productize provisioning and upgrades, establish SLOs and incident processes, operate PostgreSQL, Redis, Elasticsearch, and ClickHouse, and oversee infrastructure security and compliance. Help shape product strategy while supporting a remote-first, autonomous engineering team.

Own and scale Nango’s cloud platform, including compute, networking, databases, Kubernetes, IaC, and GitOps. Lead BYOC and private-cloud deployments, improve provisioning and observability, establish SLOs and incident processes, and manage Postgres, Redis, Elasticsearch, and ClickHouse at scale. Drive infrastructure security and compliance for SOC 2, GDPR, HIPAA, and enterprise reviews while shaping product strategy and supporting a remote-first engineering team.

Design, deploy, and maintain AWS and Databricks data infrastructure, data lakes, and scalable ETL pipelines. Build custom ingestion services and connectors using Airbyte, Go, and Python; optimize performance, reliability, monitoring, and data quality. Implement cloud data governance, security, access controls, encryption, and compliance practices while collaborating with platform engineers, analysts, and stakeholders.

Le directeur ou la directrice dirigera la stratégie, la feuille de route et l’équipe de gestion de produits axées sur la croissance des vendeurs et des marchands. La personne optimisera la distribution, la découverte, la conversion et les ventes sur des plateformes de marché et d’infonuagique, établira des partenariats stratégiques et mobilisera les équipes d’ingénierie, de ventes, de marketing, de finance et de réussite client. Le rôle exige une solide expérience commerciale, du leadership produit et une expertise des écosystèmes technologiques.

Design and implement cloud infrastructure and MLOps solutions for customers using GPU cloud technologies. Advise clients, conduct proofs of concept, workshops, presentations, and training; develop infrastructure-as-code architectures and documentation; optimize ML pipeline performance and scalability; support product and technical teams with customer expertise; and assist with technical marketing events.

Lead the architecture and implementation of complex cloud-based data solutions for clients. Define strategic data roadmaps, support pre-sales engagements as a data engineering subject matter expert, conduct technical interviews, mentor architects and engineers, and establish data standards and operating procedures. The role requires extensive AWS and complex data systems experience, expertise across traditional and modern data technologies, strong documentation practices, and excellent communication.

Own the realtime voice channel end to end, including telephony integrations, streaming speech pipelines, model orchestration, and latency optimization. Build full-stack features with React, TypeScript, Scala, Python, and GCP; design scalable multi-tenant systems; implement safety and compliance controls; maintain observability, incident response, and SLA performance; and mentor engineers through architecture and code reviews.

Build responsive web applications and scalable frontend/backend services, design secure APIs and databases, implement AI-powered search and asset management features, collaborate on system architecture, and optimize performance and UX for a cloud-native DAM platform.

Lead the migration of Vanta’s compliance data platform from MongoDB to schema-aware PostgreSQL while maintaining backward compatibility and data integrity. Design high-throughput Kafka and S3 pipelines, eventual-consistency safeguards, query APIs, tenant isolation, caching, and distributed storage systems. Set architectural direction, mentor engineers, drive cross-team technical roadmaps, and improve reliability, observability, and operational practices for auditable enterprise-scale infrastructure.