Top AWS Jobs in Ottawa

Designs and delivers end-to-end automation solutions for Lilly’s global Finance organization. Responsibilities include assessing opportunities, developing and testing software, creating architecture and test documentation, supporting UAT and integrations, troubleshooting production issues, resolving defects, and assisting with QA, audits, migrations, and risk mitigation. The role uses Python, PySpark, TypeScript, PostgreSQL, AWS, Microsoft Fabric, SAP, and other APIs, while collaborating with finance, technology, analyst, and business teams.

Design, build, and operate distributed platform services and APIs using TypeScript and Go. Improve scalability, reliability, observability, and cost efficiency; develop data-intensive workflows and event-driven pipelines; manage SLIs/SLOs, incident response, CI/CD, and production releases. Partner with product teams on end-to-end delivery, write design documents and tests, and participate in on-call rotations for large-scale systems.

Leads and mentors a software engineering team while remaining hands-on in backend and frontend development. Owns delivery planning, sprint execution, release management, architecture, code quality, production reliability, incident response, and AWS-based systems. Collaborates with Product and stakeholders on roadmaps and requirements, contributes production code, and drives Agile/Scrum practices, CI/CD, integrations, and scalable B2B SaaS solutions for fleet management.

Leads a cloud platform engineering team responsible for cloud architecture, standards, automation, security, reliability, availability, and performance. Partners with architecture, risk, security, and application teams to deliver resilient cloud services and platform capabilities. Oversees cloud infrastructure enhancements, controls, observability, and operational excellence while managing staff development, hiring, performance, and technical strategy.

Provide technical support to eCommerce and enterprise customers through chat, email, and video calls. Diagnose issues using logs, system files, remote access, and operating system expertise; recreate and track software defects; document resolutions; meet service levels; collaborate across teams; and participate in an on-call rotation for critical incidents.

Owns and improves the end-to-end software release system across engineering. Responsibilities include managing release calendars, branching strategies, code freezes, readiness checkpoints, deployment coordination, risks, dependencies, stakeholder communications, release governance, and post-release follow-up. The role partners with DevOps and engineering teams to improve CI/CD pipelines, build stability, deployment reliability, automation, and release cadence in a cloud-based SaaS environment.

Develop and maintain full-stack applications, backend services, APIs, integrations, and internal tools while managing AWS cloud infrastructure, CI/CD, containers, databases, observability, and automation. The role requires production troubleshooting, security and reliability improvements, developer workflow enhancements, and collaboration across Product, QA, DevOps, Customer Support, and Development teams. The developer will use Python, JavaScript/TypeScript, Go, React, AWS, Docker, Kubernetes, infrastructure as code, and modern monitoring tools to deliver scalable cloud-platform solutions.

Own production reliability and infrastructure operations for the GrayKey cloud platform. Responsibilities include AWS monitoring, incident response, vulnerability remediation, networking, IAM and Okta administration, EKS and Argo CD operations, backups, recovery testing, Terraform changes, cost optimization, automation, documentation, and compliance support. The role requires independent work during Pacific and Mountain time-zone hours and involves less than 5% travel.

Designs and operates cloud foundations across AWS and GCP, including governance, identity, access controls, infrastructure as code, security primitives, networking, resource inventory, billing visibility, and self-service tooling. The role combines production software engineering, hands-on operations, monitoring, troubleshooting, documentation, and on-call ownership while enabling engineering teams to provision infrastructure safely and independently.

Owns end-to-end response to high-impact incidents in a 24/7 SaaS production environment. Coordinates technical teams during live incident bridges, removes blockers, manages escalations, communicates business impact, and ensures safe mitigations. Leads post-incident reviews, tracks metrics, improves runbooks and processes, and supports change and problem management. The role requires ITSM expertise, cloud and DevOps knowledge, AI-tool proficiency, strong communication, and calm decision-making under pressure.

Lead and manage MongoDB’s Storage Execution team, owning the roadmap for durability, availability, performance, transactions, storage architecture, index operations, and developer productivity. Partner with adjacent engineering and cloud teams, manage customer escalations, drive cross-team initiatives, improve engineering processes, and develop engineers through hiring, coaching, and performance management.

Build and operate AWS infrastructure, automation, observability, CI/CD pipelines, and internal developer platform components. Improve system reliability through resilience testing, automated recovery, capacity planning, and SLOs. Own projects from planning through rollout, mentor engineers, establish infrastructure standards, collaborate with software and security teams, and participate in a low-volume on-call rotation.

Lead the product workstream in client engagements to assess current PDLC, design future-state AI-native product development, coach PMs, scope and write executable specs for prototypes and MVPs, shape agentic product tooling, and feed field learnings back into methodology and pre-sales.

Lead development of a massively distributed edge compute platform. Design fault-tolerant systems, external APIs, high-throughput traffic routing, and Kubernetes-based resource management. Establish architecture standards, reliability metrics, security practices, and technical governance. Collaborate with AI/ML, hardware, networking, and security teams; communicate risks to executives; manage customer requirements; review code; and mentor engineers on distributed systems best practices.

Design, develop, test, and maintain scalable platform software and services. Collaborate with architecture and cross-functional teams, implement platform features, participate in code reviews, document technical specifications, troubleshoot issues, and optimize performance and scalability. The role requires Go development, scripting, Kubernetes, cloud-native technologies, containerization, cloud networking, and CI/CD experience.

Supports customers with database integration issues while developing and debugging Airbyte’s Java and Kotlin database connectors. Investigates replication, CDC, query performance, authentication, networking, schema evolution, and sync-state problems across databases, warehouses, and data lakes. Reproduces bugs, contributes to open-source code, collaborates with Engineering and Product, supports enterprise onboarding, mentors technical support staff, and creates troubleshooting documentation and automation playbooks.

Own and scale a multi-cloud data platform across AWS and Azure. Manage Apache Airflow, Kubernetes, Terraform, Helm, ArgoCD, CI/CD, observability, big data infrastructure, governance tooling, and FinOps initiatives. Provide end-to-end architectural and operational ownership, improve developer tooling, define platform roadmaps, manage incidents, enforce engineering standards, and mentor data platform engineers.

Staff Backend Engineer responsible for setting the architecture and technical direction of Quo’s public API platform. The role involves building API enablement systems, designing SDK and webhook infrastructure, supporting integrations, driving cross-team adoption, mentoring senior engineers, and maintaining performance, reliability, and observability across a high-scale distributed platform.

Principal Software Engineer leading architecture and implementation of resilient, low-latency distributed systems for the RunMyJobs platform. Responsibilities include technical strategy, full-stack development, AI-assisted software development, CI/CD and observability, code and design reviews, quality improvement, troubleshooting, and mentoring. The role requires expertise in Java, microservices, cloud platforms, containers, frontend technologies, databases, automated testing, and AI developer tools, with broad technical ownership but no direct people management.

Build and deliver production AI systems across machine learning, generative AI, and agentic workflows. Design scalable ML and data pipelines, integrate heterogeneous data, evaluate emerging AI frameworks, and deploy secure cloud-native solutions. Collaborate with data science, product, security operations, and threat research teams to deliver customer value. Write and review code, troubleshoot production issues, measure AI quality, document technical decisions, and mentor engineers.

Owner of a portfolio of large regulated Partner accounts, responsible for revenue expansion, account strategy, and technical growth interventions. Combine account leadership, hands-on engineering (SQL, Python/Node, JS/TS, Vue/React), experimentation (A/B testing), and cross-functional collaboration to diagnose performance, build and ship fixes, and codify repeatable growth playbooks.

Architects and develops AI-powered systems, backend services, APIs, experimentation frameworks, and automation using foundational models. Integrates AI capabilities with microservices, AWS, Snowflake, and diverse technology stacks while ensuring scalability, reliability, and maintainability. Collaborates with product, data science, and engineering teams to translate business needs into technical solutions, evaluate emerging AI tools, and rapidly prototype proof-of-concept applications.

Assurer la stratégie et l’exécution des tests de plateforme pour les API, services, intégrations et systèmes back-end. Concevoir et maintenir des tests automatisés, les intégrer aux pipelines CI/CD, valider la performance, l’évolutivité, l’interopérabilité et les migrations, puis analyser les problèmes complexes jusqu’à leur résolution. Contribuer aux normes de qualité et encadrer les analystes QA.

Leads the technical vision and delivery of an enterprise agentic AI program. Oversees architecture, evaluation, deployment, MLOps, reliability, security, and scalability across multiple workstreams. Partners with executives and client stakeholders on roadmaps and high-stakes decisions, aligns data science and engineering teams, establishes technical standards, and mentors senior technical leaders. Requires deep experience in AI/ML, LLMs, agentic systems, AWS, distributed systems, evaluation, and production-scale software engineering.

Lead platform infrastructure reliability initiatives for a microservices-based cloud SaaS solution. Design scalable, automated, observable infrastructure; define platform roadmaps; guide engineering teams through design reviews; reduce operational toil; build monitoring and alerting; and participate in on-call incident response. The role uses AWS, Kubernetes on EKS, Istio, infrastructure-as-code, GitLab, Argo CD, and Datadog.