Top AWS Jobs in Ottawa

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.

Build privacy-focused services and infrastructure that support consumer privacy rights across Block. Collaborate with engineering, security, platform, and legal teams to embed privacy solutions, define future privacy technology, mentor engineers, review implementations, and maintain monitoring and system stability. The role involves developing scalable, testable software and creating architectures and processes addressing data governance, data flows, access control, security, and privacy risks.

Build internal services and infrastructure that support privacy initiatives and consumer privacy rights. Collaborate with engineering, security, platform, and legal teams to integrate privacy technologies, define privacy architecture, mentor engineers, review implementations, and maintain reliable privacy solutions. The role focuses on responsible data use, governance, data flows, access controls, and reducing privacy risk across Block’s engineering ecosystem.

Lead the design, development, delivery, and operation of secure, scalable authentication platform capabilities, including sign-in, account recovery, MFA, session management, authorization, and identity federation. Collaborate with Product, Security, Fraud, Compliance, and engineering teams; improve reliability, monitoring, code quality, and security practices; resolve production issues; mentor engineers; and communicate technical decisions and trade-offs.

Monitor and analyze security events, lead incident response and employee investigations, conduct digital forensics, communicate findings to stakeholders, build investigation tools and automated workflows, and improve security operations processes. The role requires Python scripting, SIEM experience, cloud security knowledge across AWS and GCP, and forensic analysis across macOS, Windows, and Linux.

Global Presales Program Manager responsible for optimizing presales programs, workflows, enablement, demo processes, and technical sales operations. The role manages technology change requests, project initiatives, knowledge-sharing programs, skills matrices, SME programs, feedback collection, and rotational training programs. It requires cross-functional collaboration with sales, marketing, product management, and presales teams; data-driven process improvement; and strong project management, communication, and analytical skills.

Build and operate MITRE ATT&CK-aligned threat detections across cloud, endpoint, identity, email, and application telemetry. Own the detection lifecycle, advance detection-as-code with Git, testing, CI/CD, and observability, and improve data ingestion and enrichment. Evaluate AI-assisted security capabilities, translate threat intelligence into detections, and partner with Security Operations during investigations and incident exercises. The role requires strong Python and SQL skills, SIEM expertise, AWS and Linux knowledge, and independent project leadership.

Sets the technical vision for data science, leads complex credit risk, pricing, and loss forecasting models from conception through production, and architects scalable machine learning pipelines. Partners with senior stakeholders to shape strategy, establishes modeling and validation standards, mentors technical staff, and communicates recommendations to executives. The role requires deep fintech lending experience, advanced statistical and machine learning expertise, and hands-on production model deployment.

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.

Design, build, scale, and operate high-volume payment APIs and distributed systems serving global traffic. Lead complex engineering projects from requirements through production, improve performance, observability, reliability, fault tolerance, and security, and participate in on-call incident response. Collaborate across product and engineering teams, use AI-assisted development tools responsibly, and mentor engineers through technical reviews, documentation, and guidance.

Lead Affirm’s enterprise AI security review program, threat-model AI and LLM applications, assess agentic systems and tool permissions, and design automated guardrails, controls, monitoring, and policy-as-code. Review code, prompts, configurations, vendors, and SaaS AI capabilities; develop testing and red-team scenarios; identify emerging vulnerabilities; support incident response; and lead cross-functional initiatives across Security, Engineering, Legal, Privacy, and Compliance.

Design and build scalable backend systems, APIs, data models, event-driven services, experimentation platforms, and personalization systems. Partner with Product, Data Science, Analytics, and Design teams to support customer acquisition and engagement. Establish secure, observable, high-performance engineering practices, mentor junior engineers, and participate in monitoring, on-call, and operational support.

Design, build, operate, and scale GitLab Orbit backend services in Rust across distributed cloud-native environments. Improve Kubernetes deployments, infrastructure automation, observability, reliability, incident readiness, multi-tenant isolation, data workflows, graph query capabilities, indexing pipelines, cloud storage integrations, and API/MCP surfaces. Own technical designs through rollout while collaborating asynchronously with infrastructure, security, AI, data, delivery, and SRE teams.

Develops backend software prototypes, evaluates architecture and technology solutions, researches emerging technologies, and tests prototypes for functionality, performance, and scalability. The role supports long-lead design and innovation initiatives within Kinaxis’s Architecture & Innovation team. Candidates should be computer science students or recent graduates with software development experience, cloud familiarity, and a willingness to experiment with modern technologies.

Design and optimize large-scale AI training, inference, GPU infrastructure, and MLOps systems for CBC/Radio-Canada’s media production environments. Architect integrations with PAM, MAM, studios, Avid, Dalet, Adobe, and live media workflows. Lead performance, scalability, security, reliability, and observability initiatives while mentoring engineers and data scientists. Evaluate AI frameworks, cloud platforms, orchestration tools, agent protocols, and model-serving architectures, and communicate technical strategies to decision-makers.

Lead and manage MongoDB’s Storage Execution team, owning the roadmap for durability, availability, performance, transactions, storage architecture, index operations, and developer productivity. Partner with adjacent engineering and cloud teams, manage customer escalations, drive cross-team initiatives, improve engineering processes, and develop engineers through hiring, coaching, and performance management.

Develops and tests software for a next-generation 911 call-handling platform under senior guidance. Responsibilities include software analysis, design, development, documentation, system integration, validation, unit testing, and exploratory testing. The role uses Java, Angular, JavaScript, Git, Agile practices, and potentially cloud, DevOps, networking, and container technologies to support highly available on-premises or service-based emergency communications solutions.

Architects and develops AI-powered systems, backend services, APIs, experimentation frameworks, and automation using foundational models. Integrates AI capabilities with microservices, AWS, Snowflake, and diverse technology stacks while ensuring scalability, reliability, and maintainability. Collaborates with product, data science, and engineering teams to translate business needs into technical solutions, evaluate emerging AI tools, and rapidly prototype proof-of-concept applications.

Design, develop, launch, and maintain scalable backend systems and APIs used by partners and merchants. Collaborate with engineering teams and stakeholders, balance delivery speed with system quality and reliability, navigate large codebases, debug software, conduct code reviews, and write clear, tested, extensible code using distributed-systems technologies.

Build and ship production AI systems across retrieval, knowledge graphs, inference, agentic workflows, and data platforms. Develop customer-context retrieval, scored signals, workflow automation, evaluation, and observability capabilities. Work hands-on with Python, SQL, dbt, lakehouse data, cloud infrastructure, model selection, and inference-cost optimization. Establish reusable engineering patterns and mentor teams through high-quality code and system design.

Build and operate backend infrastructure and APIs for stablecoin-based payments, deposits, withdrawals, and transfers. Own projects from system design through production, improve distributed-system performance and reliability, collaborate with Product, Design, Infrastructure, and Compliance, and contribute to engineering quality through reviews and architectural best practices. The role requires blockchain integration experience and responsible use of generative AI.

Partner with R&D and engineering leaders to manage Cloud, Cellular, and AI infrastructure costs. Analyze financial results, produce management reporting, support month-end close, build forecasts, improve reporting models, develop performance KPIs, and drive annual operating plan planning. The role also involves cost optimization, financial modeling, cross-functional collaboration, and using AI tools to streamline reporting and analysis.

Lead international integration engineering by architecting scalable distributed systems and an AI-powered development harness for partner integrations. Guide technical strategy, mentor engineers, review architecture and code, establish development and deployment best practices, and deliver production solutions. Collaborate with product, design, QA, UX, and partner engineering teams while using Java, Kotlin, event-driven messaging, and cloud technologies.

Designs and delivers secure, scalable Azure cloud, data, analytics, database, and AI solutions for customers. Leads architecture, roadmaps, proofs of concept, production deployments, workload optimization, governance, resiliency, and security initiatives. Partners with technical and business stakeholders, supports customer adoption and Azure consumption, resolves technical blockers, contributes reusable deployment frameworks, and mentors others. Requires strong expertise in Microsoft Fabric, Azure Databricks, Purview, Azure databases, data engineering, governance, migration, and cloud architecture.

Leads complex data science and analytics initiatives, develops and validates predictive models, evaluates diverse data sources, and translates findings into actionable business insights. Determines technical approaches, supports risk mitigation and decision-making, and provides technical leadership and mentorship to analytics professionals. Collaborates with stakeholders while promoting quality, consistency, and data-driven solutions.