Top AWS Jobs in Ottawa

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 and maintain network edge security systems that improve API security posture, detect and mitigate abusive traffic, and respond to emerging threats. Responsibilities include developing streaming analytics pipelines, integrating CDN and security vendors, managing production systems, contributing to machine learning models, and implementing AI-driven traffic classification. The role requires software or security engineering experience, expertise in Java, Kotlin, TypeScript, Python, SQL, Spark, CDN platforms, and AWS.

Leads and grows an engineering team building financial and supply chain platforms, including agentic workflow automation, reporting, forecasting, tax, compliance, and operational systems. Sets technical direction, architecture, roadmap, and delivery practices while partnering with Finance, Accounting, Tax, Compliance, Product, and Operations. Ensures reliability, security, scalability, testing, observability, and operational excellence, while developing engineers, future leaders, and a healthy engineering culture.

Own the product vision, strategy, and execution for MongoDB Atlas Infinite, a distributed cloud database platform. Lead cross-team decisions spanning compute, storage, migration, interoperability, readiness, customer experience, monetization, and adoption. Discover new customer opportunities, guide preview-to-GA progress, establish research and execution standards, resolve complex product issues, align executives and go-to-market teams, and mentor product managers.

Build and maintain authentication and fine-grained authorization systems using Auth0 and OpenFGA. Own OAuth 2.0 and OpenID Connect implementations, identity federation, token flows, and permissions for AI agents. Lead cross-team technical projects, set engineering standards, review code, and mentor engineers. The role requires strong backend development skills and experience with identity providers, ReBAC systems, and complex multi-tenant authorization models.

Lead the technical direction, architecture, and development of Compass, an LLM-powered agent platform. Design multi-agent systems, MCP and A2A integrations, orchestration, evaluation, and observability infrastructure. Drive cross-team technical projects, production support, engineering quality, mentoring, and adoption of AI-assisted development practices. Partner with Product, QA, Design, Operations, and Engineering stakeholders to deliver reliable agentic systems.

Lead design, build, and deploy of large-scale data platforms for LLMs, RAG, and agentic AI systems. Hands-on coding, architecting fault-tolerant pipelines, establishing MLOps/DataOps best practices, mentoring engineers, and operationalizing research into production across Exabyte-scale distributed systems.

Lead backend engineering work for Affirm’s lakehouse infrastructure, delivering reliable, scalable distributed data systems. Own quarterly goals, guide engineers through ambiguous problems, collaborate with product and analytics stakeholders, improve technical standards, monitor system availability, support on-call operations, and mentor team members. The role focuses on large-scale data platforms and technologies including Iceberg, Flink, Airflow, Spark, Kafka, Snowflake, AWS, MySQL, Kubernetes, and Terraform.

Designs and builds secure, scalable systems protecting products, infrastructure, and customer data. Responsibilities include authentication and OAuth integrations, authorization platforms, BYOK capabilities, security tooling, cloud security controls, threat modeling, vulnerability remediation, and security testing. The role partners with engineering and product teams, establishes secure development practices, leads complex security projects, and mentors engineers.

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.

Build backend data and measurement systems connecting marketing acquisition activity to signup, conversion, and GMV outcomes. Develop reliable pipelines, identity and event data systems, attribution capabilities, and marketing technology integrations while incorporating privacy, consent, and consumer-data requirements. Lead engineers through ambiguous problems, own quarterly goals, improve system reliability and code quality, collaborate cross-functionally, and mentor team members.

Lead the design, scalability, reliability, and optimization of continuous integration systems, build pipelines, automated testing, deployment workflows, and developer productivity tooling. Improve feedback cycles, monitoring, alerting, incident response, and engineering enablement across the organization. Mentor CI engineers, establish CI/CD best practices, and align developer infrastructure with broader platform goals.

Build and launch scalable backend systems and APIs for Affirm’s partner and merchant integrations. Responsibilities include breaking projects into deliverable phases, collaborating with product, design, and analytics teams, monitoring service health, participating in on-call operations, debugging code, conducting code reviews, and supporting team development. The role requires backend development experience with Python or Kotlin, distributed systems knowledge, and familiarity with AWS, MySQL, and Kubernetes.

Develop backend tools and systems that improve batch development, testing, and reliability. Responsibilities include breaking projects into deliverable phases, collaborating with product and infrastructure teams, monitoring system metrics, supporting on-call operations, writing tested and extensible code, debugging, participating in code reviews, and contributing to engineering growth activities.

Build and scale Affirm’s managed cache platform using Redis and Valkey. Responsibilities include cluster migrations, capacity and shard planning, failover and replication, upgrades, self-service automation, monitoring, SLOs, incident response, and advising teams on caching strategy. The role also involves designing tested backend systems, collaborating across engineering and product teams, participating in on-call operations, and contributing to code reviews and team development.

Design and build backend APIs, microservices, and checkout platform components for Affirm’s financial products. Improve system performance, reliability, tooling, and engineering standards while collaborating across teams. Own components over their lifecycle, contribute to technical decisions, ship high-quality software at scale, and support peer development through communication and knowledge sharing.

Designs and maintains reliable data pipelines and computed tables using SparkSQL and PySpark. Integrates IoT, product, customer, external, unstructured, and ML-related data into scalable data models supporting analytics, causal inference, model training, and dashboards. The role requires ETL development, data orchestration, API integration, strong data quality and uptime, and collaboration with Data Science, AI/ML, Analytics, and engineering teams. This is a remote position for candidates residing in Canada.

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.

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.