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.

Own and deliver backend infrastructure for machine learning model training and serving. Design and operate highly available distributed systems, lead technical initiatives, improve engineering standards, support on-call operations, collaborate cross-functionally, and mentor engineers. The role emphasizes reliable shared platforms, developer velocity, system scalability, and production-quality software.

Own and deliver quarterly engineering goals for an ML feature platform, lead solutions to ambiguous backend and distributed-systems problems, and collaborate with product, design, and analytics teams. Maintain platform reliability through metrics, availability monitoring, and on-call support. Establish code quality and design standards, address technical and business issues, contribute to scalable system design, and mentor engineers while building highly available backend systems.

Build and maintain scalable integration and end-to-end test automation frameworks and CI pipelines. Optimize test execution, improve stability and reporting, support engineering teams with triage and best practices, write technical specs/ADRs, participate in on-call rotation, and collaborate across regions to evolve the companys test strategy and developer productivity tooling.

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.

Design, build, and operate shared backend platforms and frameworks for data acquisition, processing, and access. Lead projects from architecture through production, develop event-driven and batch or streaming systems, and improve reliability, observability, scalability, and data quality. Collaborate with software engineers, data engineers, and data scientists, make architectural trade-offs, mentor engineers, and contribute to technical standards. The role may also involve external data integrations and analytics and machine-learning data systems.

Lead technical strategy for Cash App Banking’s server engineering team, drive architecture and infrastructure improvements, contribute hands-on code, make cross-functional technical decisions, and mentor engineers. Build robust, scalable financial systems using modern backend technologies and event-driven microservices. Apply an AI-first mindset while delivering large-scale banking features and maintaining high engineering standards.

Own quarterly engineering goals, lead backend engineers through ambiguous problems, and deliver highly available distributed systems. Collaborate with product, design, analytics, risk, data science, and operations while balancing technical trade-offs. Improve code quality, design standards, monitoring, availability, and on-call practices. Identify and resolve technical and business issues, support team development, and provide mentorship and feedback.

Own quarterly engineering goals, lead backend engineers through ambiguous problems, and deliver scalable, highly available systems. Collaborate with product, design, and analytics on technical decisions, monitor service reliability, support on-call operations, improve code and design standards, and mentor team members. Build and launch backend systems using Python or Kotlin, AWS, MySQL, and Kubernetes while maintaining quality across a large codebase.

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.

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.