Top AWS Jobs in Ottawa

Lead product and technical strategy for cloud-native Core Network User Plane sub-services, driving architecture, SRE/CI-CD adoption, cross-functional delivery from trials to commercial scale, and establishing metrics for reliability, cost-efficiency, and operational health.

Lead design and development of AI-enhanced baseband solutions across PHY/L1, L2 and scheduling. Identify AI opportunities, prototype and evaluate ML algorithms, optimize for RAN compute and accelerators, validate via simulation/lab/over-the-air, collaborate cross-functionally, scout technologies, and mentor peers to bring prototypes into deployable solutions.

Design, develop, and support cloud-native microservices and test frameworks for 5G core. Work full-stack including service code, automated tests, deployment scripts, CI/CD, containerization (Docker/Kubernetes), monitoring, and test strategy. Apply 3GPP core knowledge to system-level testing and collaborate in Agile/DevOps teams.

The Senior Software Engineer will own delivery goals, collaborate on product development, identify and solve technical issues, and foster quality and ownership on their team.

The Staff Product Security Engineer will enhance product security through collaboration with teams, threat modeling, code analysis, and developing security-focused testing practices.

Design, build, and maintain backend systems and APIs for stablecoin-based pay-ins, payouts, deposits, and withdrawals. Own projects end-to-end as DRI, collaborate with cross-functional teams, resolve scalability and reliability issues, mentor engineers, and integrate blockchain/payment technologies while producing technical design documents.

Design, develop, and maintain scalable backend systems for the Payroll product using a microservices architecture. Own the full development lifecycle from technical design to deployment and monitoring, collaborate with product and front-end teams, build and optimize APIs, and work in a continuous delivery environment with automated QA and testing practices.

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

Design, build, and operate Kubernetes cluster management tooling and developer-facing workflows. Deliver compute capabilities (jobs, cron, deployments, EFS, right-sizing), automate toil, improve observability and incident response, and partner with Security/Reliability teams. Apply AI tooling to improve infrastructure automation and developer productivity.

Design and build features for the SFS banking platform, onboard Block products, build secure fault-tolerant systems handling sensitive financial data, ensure service reliability, remediate incidents, and create durable operational fixes.

The Software Engineer will enhance Lending products for Cash App, focusing on building complex systems, APIs, and collaborating with multiple teams to support economic empowerment through accessible credit.

The Information Systems Engineer will design integrations and enhance engineering processes across various business systems, focusing on scalability and efficiency. Responsibilities include collaborating with teams to implement systems solutions, optimizing integrations, monitoring performance, and supporting production applications.

As a Software Engineer, you will design and build backend services and integrations for financial operations, focusing on scalable technology solutions and AI enablement, while collaborating with cross-functional teams to ensure compliance and data integrity.

Senior individual contributor building and maintaining underwriting and credit decisioning ML systems for Cash App Borrow and Afterpay. Responsibilities include feature engineering, model training, calibration, experimentation, deployment, monitoring, and portfolio-level analysis. Collaborate with cross-functional teams to align models with business and regulatory goals and develop AI-native engineering workflows and governance for reliable, auditable model development.

As a Senior Backend Software Engineer, you'll develop systems and APIs for applications, ensure scalability and availability, and may lead teams, focusing on agile development and collaboration with multidisciplinary teams.

Lead incident response engagements, perform forensics and malware analysis, develop methods to detect threats, and communicate findings to stakeholders.

Lead large-scale, cross-functional engineering projects to deliver AI-native SaaS features. Own platform architecture for multi-tenant, cloud-native systems, drive engineering standards and developer tooling, mentor engineers, and operationalize LLMs, agent frameworks, and real-time data in production.

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.

Lead and own a broad domain end-to-end: set multi-team architecture and roadmap, build platform and tooling, ship production systems, define AI standards and evals, partner with product/design/data, coach senior engineers, and solve high-impact technical and product problems.

Own end-to-end engineering problems across Babylist's Rails monolith and AI-enabled systems. Design, ship, and iterate on features and abstractions, run experiments, harden critical paths, review risky changes, and share AI learnings. Work across backend, frontend, mobile, data and ML infrastructure to improve customer outcomes and platform reliability.

Lead development and operation of cloud-native CI/CD pipelines, automate build/release workflows, onboard and integrate services, maintain availability and observability, collaborate across teams, support production environments and participate in on-call rotations.

Lead end-to-end data science initiatives: design, deploy, and monitor ML/statistical models for credit risk, pricing, collections and fraud. Collaborate cross-functionally to integrate models into production, define model development standards, mentor team members, and maintain scalable ML pipelines and monitoring systems to drive measurable business impact.

Design, build, and maintain SparkSQL/PySpark data pipelines in the central data lake to ingest IoT, product, and unstructured data (video/audio). Produce reliable computed tables for analytics, model training, and dashboards; integrate external datasets; ensure high data quality and uptime; and collaborate with Data Science, ML, and cross-functional teams.

Lead detection, incident response, and digital forensics across macOS/Windows/Linux; act as Incident Commander, triage alerts, use SIEM, build investigation scripts and automated runbooks, collaborate with stakeholders on insider threat and security operations improvements.

Design, build, and operate large-scale Spark/PySpark data pipelines and the enterprise data platform. Implement data integrations, transformations (Python/SQL), monitoring, and data quality. Build MCP servers and AI-enabled tooling, optimize performance, mentor engineers, and lead cross-functional data projects to enable analytics and automation.