Top AWS Jobs in Ottawa

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

Lead full-stack engineering for card acquisition and onboarding across mobile, web, and backend. Define technical strategy, deliver quarterly goals, mentor engineers, ensure operational reliability (monitoring, on-call, CI/CD), collaborate with product/design/analytics, and drive quality, experimentation, and scalable backend systems.

Lead the Developer Environments team, enhancing software development productivity. Drive strategy, manage systems, and improve developer workflows and tooling.

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

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.

Build and scale distributed backend services for growth infrastructure (notifications, referrals, targeting, lifecycle communications, ML ranking). Design resilient service-oriented systems on cloud, ship well-tested production code, run growth experiments/A-B tests, improve developer tooling and shared platform capabilities, and collaborate cross-functionally to deliver measurable acquisition and retention impact.

Design, build, test, and maintain enterprise integrations and automations across procurement, finance, and supply chain systems using MuleSoft and Zip iPaaS. Develop Python tools, write and optimize SQL, collaborate with stakeholders, ensure scalability and security, monitor production integrations, and contribute to documentation and DevOps practices.

Design and build Samsara’s cloud governance platform, including IAM guardrails, security controls, compliance automation, and software supply-chain security tooling across AWS and GCP. Develop reliable distributed systems, secure CI/CD patterns, and SAST/DAST capabilities. Contribute to technical roadmaps, collaborate across infrastructure, security, compliance, and engineering teams, and communicate design tradeoffs while mentoring teammates through reviews and pairing.

Leads the Infra Foundations engineering team, setting its roadmap, mentoring engineers, and maintaining reliable AWS foundations. Owns account provisioning, networking, IAM, infrastructure-as-code automation, GitOps workflows, quota management, patching, configuration management, incident response, and security collaboration. Establishes operational standards, drives self-service tooling adoption, and ensures infrastructure frameworks are safe, consistent, and dependable across teams.

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.

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.

Lead design and operation of Block's real-time, event-driven data systems. Build and run high-throughput streaming pipelines, turn Kafka event streams into low-latency data products, improve reliability and observability, mentor engineers, and define platform architecture and standards for projections, third-party data proxy, and graph data capabilities.

Lead IT as a product for a ~800-person remote company: build AI-first service delivery, architect enterprise-grade identity and device trust (Okta, Jamf), govern a 200+ app SaaS portfolio, own major incident response, partner with Security on zero-trust and compliance, and scale a globally distributed IT team while enabling enterprise sales.

Lead design and delivery of Workday integrations and AI-driven HR solutions. Architect secure cross-platform integrations (Workday, ServiceNow, ATS), leverage AI/LLMs and agentic workflows, manage agile delivery, vendor relationships, build business cases, and ensure high-quality testing and implementation of P&C technology.

Build and operate ML training and serving infrastructure: design, develop, and launch backend systems, support availability and on-call, collaborate cross-functionally, and improve developer velocity.

Build and improve MongoDB’s distributed networking and observability systems. Responsibilities include enhancing networking performance, availability, scalability, resource efficiency, and low-overhead observability; leading medium-sized projects from technical design through delivery; collaborating across the project lifecycle; contributing production C++ code; and participating in code reviews and feature design.

Lead design and delivery of scalable ML systems across the full lifecycle for recommendations, forecasting, targeting, and personalization. Collaborate with engineers and product teams, set modeling and productionization standards, mentor data scientists, guide architecture and experimentation, and apply cloud and MLOps best practices to drive measurable product and business impact.

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.

Conduct third-party security assessments, evaluate vendor controls, document risk findings, automate GRC workflows with Python and agentic coding tools, maintain integrations across ticketing and risk platforms, and develop dashboards and reporting. Partner with Procurement, Legal, Engineering, IT, Compliance, and Privacy to support risk-informed decisions and mature security governance processes.

Lead Forward Financing’s application and product security program, including pentesting, code review, vulnerability remediation, AI security testing, secure SDLC practices, and external exposure controls. Manage and develop senior security engineers, establish testing standards and remediation SLAs, build security services, and partner with engineering and executives to prioritize risk across web applications, APIs, cloud infrastructure, and AI-built software.

Leads Affirm’s Resilience Engineering team, defining strategy and managing engineers who build platforms for safe production load testing and chaos engineering. Owns fault-injection and experimentation systems, safeguards, observability, rollback mechanisms, monitoring, and incident response practices. Partners cross-functionally to identify systemic weaknesses, improve reliability, and embed resilience validation into engineering workflows. Requires leadership experience in reliability, infrastructure, or distributed systems and hands-on expertise with production testing, chaos engineering, cloud-native environments, and distributed-system failure modes.

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.