Top AWS Jobs in Ottawa

As a Staff Data Scientist, you will analyze large-scale broadband data, develop and validate ML models, and integrate solutions into Calix Cloud, collaborating with teams for enhanced network intelligence and subscriber experience.

Lead application migration and modernization initiatives to AWS, utilizing cloud-native practices and providing technical leadership for development teams.

Lead and grow the Core Workspaces engineering team, set technical direction, and contribute to architecture and implementation. Build reliable, extensible agentic systems involving agent execution, tool use, context management, streaming, integrations, and long-running workflows. Partner with Product and Design to improve developer experiences while coaching engineers, raising technical standards, and optimizing reliability, performance, and operability.

Build and improve customer-facing products and internal services for a domain and hosting platform. Develop React interfaces and Node.js APIs, with occasional legacy .NET work. Collaborate with product and engineering teams, write clean tested code, participate in agile delivery, deployments, production support, incident resolution, and modernization efforts. Work with cloud architecture, CI/CD, containers, infrastructure as code, security, scalability, and performance while contributing to code reviews, documentation, and knowledge sharing.

Design, develop, test, and maintain backend services supporting provisioning, licensing, and purchasing. Improve cloud infrastructure, automation, reliability, observability, scalability, and service delivery. Collaborate on architecture and cross-functional delivery, troubleshoot production issues, participate in code reviews, and mentor engineers while remaining hands-on in software development.

Design and operate scalable, cloud-native data pipelines and orchestration systems for imaging, biomarker, and healthcare data. Build Databricks and distributed processing workflows, integrate DICOM data into data lakes, and implement validation, observability, monitoring, and fault tolerance. Collaborate with data science, AI, R&D, product, and data management teams to deliver secure, compliant, reliable data for analytics and machine learning.

Owns the cloud architecture vision and roadmap for an AWS-first, multi-cloud SaaS environment. Designs secure, resilient, scalable, and cost-efficient infrastructure; leads cloud modernization; enables AI and data platforms; establishes Terraform, CI/CD, observability, security, governance, and reliability standards; and partners with engineering, security, operations, customers, auditors, and leadership. Coordinates major incident response and drives self-service infrastructure and developer experience improvements.

Design, develop, test, deploy, and support full-stack web features for a remote-sensing data processing and visualization platform. Optimize schemas and queries for scalability, integrate frontend and backend services and APIs, maintain high availability, collaborate on architecture, and participate in a shared on-call rotation.

The Senior Full-Stack Developer will lead projects, collaborate on features, maintain systems, and write code in Python and React. They should have significant experience in full-stack development and a passion for clean code.

Own full-cycle recruiting for forward-deployed engineering and leadership roles across the US. Source passive AI and technical talent through LinkedIn, GitHub, communities, referrals, and talent mapping. Build Provectus’s talent community through meetups, workshops, hackathons, university programs, and industry events. Partner with hiring managers and senior leadership on hiring criteria, workforce planning, compensation benchmarking, candidate experience, and offer negotiation.

Own the technical side of deal progression for airline deployments: qualify opportunities, run demos and POCs, author integration and deployment architectures (PSS, APIs, data feeds, DNS, identity, networking), respond to RFPs/security questionnaires, scope SOWs and NFRs, and build reusable demo/reference assets to drive adoption and expansion while liaising between sales, engineering, and customers.

Sell Akamai solutions to new major accounts in Canada, build C-level relationships, develop strategic sales plans, manage channel/reseller partnerships, drive high-volume pipeline, and negotiate contracts to ensure customer adoption and satisfaction.

Design, build, and operate Rust services powering Scribd’s large-scale Content Library and core infrastructure. Own features end to end, evolve Python tooling, optimize DataFusion, Parquet, S3, caching, and PostgreSQL/Aurora systems, and strengthen governance through lineage, authorization, and deletion controls. Lead cross-functional technical projects, support platform users, mentor engineers, improve developer workflows, and maintain production reliability through observability, on-call, and incident response.

Own and operate infrastructure for a large-scale sports betting and media platform across cloud and production environments. Lead infrastructure migrations, build Kubernetes platform tooling and CI/CD automation, improve observability and incident response, support development teams, troubleshoot distributed systems, reduce operational toil, and mentor engineers.

Lead and grow an AI engineering organization responsible for delivering enterprise-grade AI applications across business functions. Establish architecture, engineering standards, deployment practices, and technical strategy for scalable AI systems. Mentor engineers, oversee cloud infrastructure, data pipelines, model serving, monitoring, and continuous improvement. Partner with product, data science, and business stakeholders while ensuring security, compliance, governance, reliability, and performance across globally distributed teams.

Develop, train, deploy, and optimize machine learning models for research and production ultrasound applications. Build scalable ML data pipelines and tools, automate retraining, evaluation, and monitoring, and improve inference speed, robustness, and maintainability. Collaborate with researchers and software engineers to productionize ML research while reducing technical debt and communicating concepts to technical audiences.

Owns complex Tier 2 and Tier 3 customer support issues for SaaS products, using SQL, logs, sandboxes, and cloud infrastructure knowledge to troubleshoot and resolve problems. Builds customer relationships, documents cases in Zendesk, coordinates with Development, QA, Implementation, and Product teams, mentors junior support staff, contributes to knowledge-base content, and improves support processes. The role also supports implementation-to-production transitions and applies AI tools to enhance support workflows.

Leads delivery of medium- and large-scale AWS digital transformation programs, overseeing planning, execution, reporting, risk mitigation, quality, customer outcomes, and continuous improvement. Manages multi-functional teams of business analysts and engineers, develops product and service roadmaps, identifies business opportunities, resolves customer issues, and coaches, recruits, and develops staff. Requires strong program management, client service, agile delivery, business analysis, communication, and team leadership experience.

Designs, secures, operates, and supports multi-account cloud infrastructure across AWS, Azure, and GCP. Responsibilities include AWS networking, Terraform infrastructure as code, GitHub Actions CI/CD pipelines, identity and access management, cloud governance, observability, incident response, disaster recovery, cost optimization, and compliance controls. The role also develops automation, maintains technical documentation, and provides after-hours support when needed.

Owns end-to-end cloud operations for a multi-region SaaS portfolio, ensuring availability, performance, reliability, and cost efficiency. Leads production availability incidents, triage, resolution, root cause analysis, configuration and change management, monitoring, and alerting. Builds and develops a team of system administrators and SREs while partnering with Development, Technical Security, and Support to improve operational readiness and accountability across AWS and Azure environments.

Build and own ML infrastructure for distributed training, inference, experiment tracking, model registries, and CI/CD. Enable active-learning and closed-loop optimization, collaborate with computational scientists, and mentor colleagues to translate research prototypes to production-grade systems.

Develop full-stack features for an AI-powered web application using Python, React, Redux, PostgreSQL, and AWS. Integrate AI models and APIs for document processing, data extraction, and recommendations; build scalable backend services and intuitive interfaces. Participate in architecture planning, code reviews, release planning, cross-team initiatives, and AI experimentation. Collaborate with senior engineers, QA, and other teams while taking increasing ownership of feature development.

Design, build, and scale resilient distributed payment systems handling 1,000+ transactions per second. Collaborate with Product, Revenue Operations, Cloud Platform, and Security teams to shape product requirements and roadmaps. Lead AI-augmented software delivery, code reviews, testing, observability, performance optimization, incident response, on-call rotations, and root cause analysis while maintaining strict security, reliability, and low-latency standards.

Lead design and delivery of reliability projects for Coinbase's platform: secure service configuration and secrets management, improve canary-based deployments, partner with core services to increase scalability and reduce incidents, drive reliability best practices, and participate in on-call rotations.

As a Senior Software Engineer, you will design and build a new lifecycle orchestrator service, mentor engineers, and drive technical strategies while improving engineering standards and processes.