Top AWS Jobs in Ottawa

Design, deploy, and scale Agentic AI solutions for software testing across Ericsson’s 5G and 6G RAN platforms. Develop AI agents for test analysis, test selection, and test generation; operate cloud-based AI systems; assess feature impacts and testing risks; optimize environments and pipelines; and promote effective AI-enabled testing across development teams.

Design and develop software for 5G and 6G wireless systems, RAN platforms, distributed telecom architectures, and cloud-native applications. Develop AI/ML and GenAI capabilities using LLMs, RAG, agents, and knowledge systems for telecom analytics and automation. Collaborate with architects, developers, data scientists, and global engineering teams on integration, optimization, validation, software quality, and production deployments.

Build, launch, and maintain reliable backend systems using Python or Kotlin. Break projects into deliverable phases, collaborate with product, design, and analytics teams, monitor service health, support on-call operations, debug code, conduct code reviews, and contribute to team development. The role requires designing distributed systems, working across large codebases, writing tested and extensible code, and communicating effectively with global engineering stakeholders.

Monitor, triage, and investigate security alerts across identity, endpoint, email, SaaS, and cloud environments. Conduct routine incident investigations, gather evidence, document findings, support major incident response, and contribute to containment and recovery. Improve runbooks, tune detections, develop small scripts and automated workflows, and participate in post-incident reviews. Communicate clearly with global teammates while developing technical skills in security operations, incident response, threat detection, and automation.

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.

As a Staff Software Engineer, you will lead technical strategies, drive architectural decisions, mentor engineers, and develop consumer banking solutions using various technologies.

The Staff Software Engineer will develop and execute technical strategies for Cash App Banking, lead architectural decisions, and mentor engineers, focusing on innovative financial solutions.

Lead the technical design and delivery of banking features at Cash App, collaborating across teams, driving architecture improvements, and mentoring engineers.

Set technical strategy, lead architecture and execution for scalable account-management systems, and deliver secure fullstack customer experiences. Collaborate with product, design, and analytics; establish engineering standards, monitoring, testing, alerting, and operational processes; support on-call ownership; communicate technical decisions; and mentor engineers while addressing account security and recovery challenges.

Build and operate ingestion and reconciliation pipelines that match card-network and partner reports against internal transactions. Develop reporting products, produce standardized journals for accounting, support tax and regulatory filing systems, handle sensitive PII for compliance, debug production issues, and collaborate with finance, product, and data teams to automate and scale reconciliation and reporting.

Design, build, scale, and operate high-volume payment APIs and distributed systems serving global traffic. Lead complex engineering projects from requirements through production, improve reliability, performance, observability, fault tolerance, and security, and participate in on-call and incident response. Collaborate across product and engineering teams, use AI-assisted development tools responsibly, and mentor engineers through technical reviews and documentation.

Own the direction and implementation of Babylist’s personalization domain, including recommendation, search, feed models, custom embeddings, and shared representations. Take ambiguous problems from concept through production, owning architecture, deployment, monitoring, retraining, evaluation, and customer impact. Partner with product, design, and data, establish AI development standards, make cross-team technical decisions, and coach senior engineers while remaining hands-on with complex machine learning systems.

Lead technical strategy and execution for a full-stack card experiences team. Design and launch scalable backend systems and web or mobile applications, collaborate with product, design, analytics, risk, and operations, and own features from problem definition through production monitoring. Improve reliability, on-call operations, code quality, and technical standards while mentoring engineers and applying AI thoughtfully.

Lead the creation of Babylist’s in-house search platform from zero to production. Own architecture for indexing, retrieval, ranking, query understanding, personalization, quality measurement, and conversational search. Set technical and product direction, drive cross-team initiatives, build scalable platforms, partner with product, design, data, and AI teams, and coach senior engineers. The role requires hands-on production search experience, strong system design, user-focused experimentation, and ownership of measurable customer and business outcomes.

Lead the technical direction and implementation of large-scale SaaS product features. Build secure, reliable, maintainable, well-tested software; evaluate architectural trade-offs; debug team inefficiencies; and contribute to code reviews, documentation, and complex bug fixes. Collaborate across product, design, and engineering, influence strategy, identify organizational blockers, mentor engineers, and improve engineering practices around testing, performance, security, privacy, and reliability.

Build and launch full-stack customer-facing features and backend services for Affirm Card. Collaborate with product, design, analytics, and engineering teams; design scalable APIs, support distributed systems, monitor service reliability, participate in on-call operations, review code, and contribute to technical planning and team development.

Own and evolve Babylist’s AWS infrastructure, Kubernetes platform, Terraform IaC, CI/CD systems, observability, and developer tooling. Build secure infrastructure defaults, automate operational workflows, improve reliability and recovery readiness, define SLOs, support incident response, and lead cross-team platform initiatives. The role also mentors engineers and provides hands-on support across local, staging, and production environments.

Build and operate scalable AI platform infrastructure, including LLM and MCP gateways, agent runtimes, evaluation services, routing, quotas, observability, and security controls. Own projects from design through launch and on-call, establish technical standards, collaborate with security and infrastructure teams, and mentor engineers. Develop highly available distributed backend systems supporting AI workloads across Affirm’s financial products and engineering organization.

Architect and operate Affirm’s large-scale Amazon EKS platform, including cluster lifecycle, node management, autoscaling, workload safety standards, infrastructure as code, GitOps delivery, observability, cost and capacity optimization, and self-healing automation. The role leads technical direction, partners cross-functionally, mentors engineers, and participates in on-call incident response.

Lead the architecture and technical strategy for Affirm’s high-volume observability platform. Design telemetry pipelines, log-sampling systems, and observability standards while balancing reliability, performance, and cost. Drive cross-functional initiatives, mentor six engineers, establish engineering and operational standards, support availability and on-call practices, and promote quality through code reviews, documentation, and technical talks.

Build and operate high-throughput backend services for AI agent orchestration, calendar systems, real-time infrastructure, APIs, and data pipelines. Design scalable platform services, infrastructure as code, and highly available production systems using Go, PostgreSQL, Kubernetes, and cloud platforms. Collaborate with AI, product, and frontend teams to deliver AI-powered features, contribute to reliability and testing practices, and mentor junior engineers.

Lead Affirm’s Resilience Engineering team, defining strategy and managing engineers who build platforms for safe production load testing and chaos engineering. Own safeguards such as isolation, approval workflows, rollback mechanisms, observability, and auditability. Partner with infrastructure, security, product, and engineering teams to identify systemic weaknesses, improve reliability, establish incident response practices, and promote resilience validation across the software development lifecycle.

Build and operate enterprise identity and access management systems at Affirm. Responsibilities include IAM lifecycle operations, access troubleshooting, automation, backend services, APIs, integrations, monitoring, and production support. The role focuses on SailPoint, Auth0, workforce identity events, secure infrastructure, and collaboration with Security, IT, and Engineering. Candidates should have software engineering experience, backend development skills, cloud familiarity, and knowledge of IAM technologies.

Leads Affirm’s third-party security risk management program, including international market due diligence, M&A security assessments, post-acquisition vendor integration, control evaluations, threat modeling, and remediation tracking. Designs automated workflows and integrations across GRC, ticketing, cloud, and identity systems using Python and agentic coding tools. Establishes processes, metrics, dashboards, and reporting while advising Legal, Procurement, Engineering, Finance, Compliance, Privacy, and leadership on security risks and decisions.

Build and operate Block’s data platform, including warehousing, orchestration, business intelligence, governance, and agentic workflows. Develop reliable Python services, developer tools, and Terraform infrastructure for petabyte-scale data. Partner with data practitioners and product teams, establish engineering standards, provide technical direction, and mentor engineers while ensuring security, reliability, observability, usability, and data governance.