Top AWS Jobs in Ottawa

Secures Snyk’s GCP and AWS cloud platforms through threat modeling, IAM hardening, Kubernetes and container security, Terraform and pipeline fixes, CSPM integration, and secure configuration baselines. Uses AI coding agents and MCP integrations to scale infrastructure remediation while reviewing changes for unsafe defaults, excessive permissions, and agent-related risks. Works consultatively with platform teams to implement and measure security improvements.

Develop and support cloud-native 5G core applications, microservices, automated tests, and deployment scripts. Build scalable services using Docker, Kubernetes, CI/CD, monitoring, logging, and alerting. Translate 3GPP core requirements into system-level tests, develop test strategies and test cases, and analyze test results. Collaborate in an Agile, Lean, and DevOps environment while working with packet core technologies, cloud platforms, APIs, and infrastructure as code.

Build and scale reliable Snowflake data pipelines, ML pipelines, monitoring systems, and AI-driven agentic tooling that automates pipeline generation, testing, and maintenance. The role partners with analysts, data scientists, product teams, and analytics engineers to deliver scalable end-to-end data infrastructure for Babylist’s e-commerce platform.

Supports the governance, risk, and compliance program with a focus on third-party risk management. Conducts vendor assessments, maintains security policies and standards, performs risk analysis, supports SOC 2 audits, gathers evidence, tracks findings, and conducts internal audits. The role also uses AI and machine learning tools to improve GRC processes and promotes security awareness across the organization.

Leads the Telemetry and Observability Platform engineering team, overseeing people management, technical direction, delivery planning, software quality, DevSecOps, production reliability, security, governance, and cross-functional dependencies. Responsibilities include recruiting and coaching engineers, managing capacity and technical debt, enforcing architecture and release standards, supporting incidents, monitoring platform performance, coordinating vendors, and aligning engineering execution with product roadmaps.

Lead the design, development, and technical strategy for high-availability financial services supporting Affirm’s card loan platform. Build scalable APIs, data models, microservices, and event-driven systems; troubleshoot performance and reliability issues; collaborate cross-functionally on loan attribution and lifecycle requirements; and mentor engineers through technical guidance, design reviews, and code reviews.

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.

Own third-party risk management and business continuity programs while building production data pipelines, integrations, policy-as-code controls, continuous monitoring, and agentic AI workflows. The role requires defining technical direction, integrating imperfect data sources, automating evidence collection, and partnering across Security, Procurement, Resilience, and Engineering teams to improve governance and operational resilience.

Own the application end to end across React, Node.js, SQL, APIs, integrations, deployment, and production support. Design and implement scalable solutions, troubleshoot complex issues, make architecture and performance decisions, review code, mentor engineers, address technical debt and security concerns, and collaborate across Product, QA, DevOps, and Architecture throughout the SDLC.

Owns end-to-end DevOps, cloud infrastructure, CI/CD, Kubernetes, Infrastructure as Code, monitoring, security, reliability, and production operations. The role designs automated deployment processes, manages cloud environments, troubleshoots complex infrastructure and networking issues, implements observability and disaster recovery, optimizes cloud costs, and guides engineering teams on secure, scalable DevOps practices.

Build and scale AI-enabled developer experience, CI/CD, deployment safeguards, observability, and automated response systems. The role focuses on making software delivery autonomous, safe, reliable, and easier for engineering teams to adopt. Responsibilities include architecting enterprise-scale platforms, orchestrating AI agents, reducing technical debt and operational toil, partnering with product engineering teams, and establishing AI-native SDLC workflows. The engineer will also provide technical leadership and turn emerging AI capabilities into production-ready internal platforms.

Build and operate database and storage platform software, including services, APIs, developer tools, migrations, and lifecycle automation. Solve database scaling, performance, reliability, and availability problems across distributed systems, cloud infrastructure, and backend services. Partner with engineering teams on schemas and queries, lead technical projects, modernize platforms, participate in incident response, and use AI-assisted tools in development.

Build and operate full-stack compliance platforms for transaction search, entity labeling, ingestion, and workflow automation. Responsibilities include designing microservices and event-driven systems, writing tested code, improving sensitive financial data quality, building self-service tools and high-volume pipelines, partnering with Compliance and Risk teams, and participating in on-call operations. The role also involves using AI-powered development tools, reviewing code, and supporting engineering standards.

Develop and scale backend streaming and data infrastructure using technologies such as Kafka, Flink, AWS, and Kubernetes. Design, launch, test, and maintain distributed systems, monitor service availability, participate in on-call support, collaborate with product and engineering stakeholders, review code, and contribute to technical planning and team development.

Lead technical strategy and architecture for a backend search team building highly available distributed systems, recommendations, and discovery experiences. Partner with product, design, and analytics; establish engineering standards, operational processes, monitoring, testing, and on-call practices. Drive major technical initiatives, mentor engineers, communicate technical direction, and support scalable consumer and merchant experiences.

Build and operate database and storage platform software, including services, APIs, and developer tools for provisioning, migrations, upgrades, and lifecycle management. Solve scaling, performance, reliability, and data correctness challenges across databases, distributed systems, cloud infrastructure, and networking. Partner with engineering teams on schemas and platform adoption, lead technical projects through rollout, participate in on-call response, and use AI-assisted tools in development.

Architect, build, and operate large-scale relational and distributed SQL database infrastructure. Responsibilities include control-plane automation, provisioning, failover, backups, upgrades, zero-downtime migrations, Kubernetes networking, connection proxy optimization, reliability monitoring, capacity planning, and on-call support. The role also involves technical leadership, roadmap ownership, code quality standards, mentoring, and cross-functional collaboration.

Design and scale distributed backend microservices for restaurant reservations, guest management, payments, floor management, and table operations. Build integrations, POS synchronization, entitlement and usage-metering services, and asynchronous workflows. Ensure reliability through observability, automated testing, schema design, latency optimization, and resilient distributed systems. Collaborate with global engineering, product, mobile, web, and UX teams while mentoring engineers and leading technical design reviews.

Lead the design, scalability, reliability, and optimization of continuous integration systems, build pipelines, automated testing, monitoring, and deployment workflows. Improve developer productivity through tooling, automation, fast feedback cycles, and CI/CD best practices. Partner across engineering, shape the CI infrastructure strategy, mentor engineers, and align platform capabilities with company goals.

Build and scale backend microservices for international restaurant reservations and table management. Develop Java/Kotlin APIs, payment and notification services, data synchronization endpoints, and asynchronous event consumers using AWS and distributed systems. Write automated tests, monitor service health, analyze logs and metrics, participate in on-call rotations, and collaborate through agile ceremonies, code reviews, and technical design discussions.

Build and operate end-to-end full-stack features for Loom billing, subscriptions, integrations, and platform migrations. Develop responsive React interfaces, scalable backend APIs and microservices, payment and identity integrations, and reliable cloud-based systems. Responsibilities include observability, monitoring, testing, code reviews, documentation, security, performance optimization, and participation in Agile ceremonies and technical design reviews.

Set technical strategy for backend identity decisioning systems, lead major engineering initiatives, and ensure highly available operations. Partner with product, design, and analytics teams; establish coding, architecture, monitoring, testing, and on-call standards; communicate technical decisions; and mentor engineers. Build and scale distributed systems supporting KYC, user lifecycle management, and identity decisions across international markets.

Lead technical strategy and execution for foundational Trust and Safety backend systems supporting consumer risk and credit reporting. Design and operate highly available distributed systems, improve reliability, monitoring, testing, and on-call processes, and guide cross-functional initiatives. Establish engineering standards, conduct technical planning, mentor engineers, communicate architectural decisions, and drive system quality, scalability, and sustainability across teams.

Conduct AI-driven security assessments across software, hardware, and firmware; develop AI-enabled offensive and defensive security tooling; identify and remediate vulnerabilities; test LLMs, agentic workflows, and cloud environments; and guide organization-wide AI security strategy. Partner with engineering and leadership, lead threat-modeling sessions, and communicate security findings and recommendations to senior stakeholders.

Build and launch backend identity decisioning systems that validate consumer identity and satisfy KYC requirements. Collaborate with Product, Compliance, Auth, Fraud, and engineering teams; break projects into deliverable phases; write tested, extensible code; monitor system metrics and availability; participate in on-call support, code reviews, interviewing, and team development.