Top AWS Jobs in Calgary

Build and evolve product features across backend and frontend technologies. Collaborate with Product and Design teams to improve user experiences and take ownership of features in production.

Designs and implements security controls across cloud platforms, operating systems, Kubernetes, networks, and CI/CD. Audits infrastructure for vulnerabilities, develops security and privacy improvements, performs threat modeling, and drives remediation. The role includes software development, infrastructure security analysis, and serving as an infrastructure-level subject matter expert during security incidents.

Design, build, test, and maintain Magnet One cloud platform features across front-end and back-end. Collaborate on architecture, perform code reviews, troubleshoot defects, and drive best practices for secure, performant, and maintainable software.

Develop and maintain secure, scalable Java backend applications and integrations. Design RESTful services, troubleshoot production issues, improve performance and reliability, apply secure coding practices, and collaborate with UI and business stakeholders. The role includes monitoring systems, conducting code reviews, supporting incident postmortems, and mentoring junior developers within an Agile engineering team. This is a hybrid position based in Etobicoke, Ontario, requiring two office days per week.

Design, build, test, refactor, and maintain production Rails software using Rails, Bootstrap, Stimulus, and Postgres. Own a defined codebase area, design data models, review code, maintain disciplined testing, collaborate with product managers, and mentor 1–3 junior engineers. Contribute in a fast-moving startup environment, evaluate third-party tools and APIs, and use AI development tools such as Claude Code or Codex.

Source and recruit technical and non-technical talent globally, build pipelines for high-priority roles, conduct personalized outbound campaigns, and partner with hiring managers through offer closure. The role requires strong Boolean, X-Ray, GitHub, and passive-candidate sourcing skills, along with recruiting analytics, AI and automation use, coordination, and independent management of multiple hiring priorities.

Build and deploy AI-powered automations across the business. Partner with teams to identify opportunities, redesign processes, integrate systems through APIs, and launch scalable workflows using LLMs, agents, and automation platforms. Document solutions, establish safeguards, enable adoption, and measure efficiency gains. The role requires strong ownership, responsible AI practices, business understanding, and hands-on experience with AI development, APIs, Python or similar languages, SQL, databases, and modern deployment tools.

Lead technical engagements with high-priority enterprise customers, supporting container and AI journeys, developer workflows, solution demonstrations, prototyping, enablement, and product alignment. Partner with sales, product, engineering, and customer teams to translate business needs into technical solutions and prioritized product feedback. Serve as a regional technical thought leader and represent Docker with customers and technical alliance partners. Travel domestically and internationally up to 50%.

Design, develop, test, deploy, and operate scalable Java backend services, APIs, microservices, databases, and event-driven systems. Own projects across the software lifecycle, collaborate with product and infrastructure stakeholders, conduct code reviews, and build testing and observability. Troubleshoot production issues, participate in incident response, and improve system reliability, performance, scalability, and maintainability.

Designs and maintains scalable cloud and on-premise infrastructure, Infrastructure as Code, Kubernetes environments, CI/CD pipelines, data streaming, caching, observability, and incident response systems. The role owns AWS reliability and cost efficiency, supports progressive deployments, troubleshoots complex production issues, partners with software teams, and drives automation and continuous improvement across platform operations.

As a Full Stack Product Engineer, you will design and deliver features, collaborating with product teams while taking ownership of projects and ensuring system performance and maintainability.

Own and improve security posture, design and maintain scalable AWS infrastructure with Terraform, embed with product teams to bake security into CI/CD, operate containerized workloads, and participate in on-call incident response to ensure resilient, high-volume browser rendering services.

As a Postgres Deployment Engineer, you will manage PostgreSQL lifecycles, optimize CI/CD systems, resolve production issues, and mentor teammates. You will focus on deployment stability and enhance developer tools.

Design, build, and optimize scalable backend systems and APIs; collaborate on architecture; troubleshoot production issues; lead code reviews; mentor junior engineers; improve reliability, performance, and security of the platform.

Lead the Platform Software Engineering team building and scaling core data infrastructure for research, market-making, and risk platforms. Hands-on role combining individual contributor work, system architecture, cross-functional project leadership, and people management while collaborating with Research and Business Operations.

Own end-to-end technical relationships for enterprise customers: lead onboarding and complex implementations across cloud data warehouses, drive adoption and expansion, deliver executive QBRs, build AI-powered automations and internal tooling, and enable agentic AI workflows to reduce engineering dependency and accelerate marketing outcomes.

Lead and manage large-scale, multi-pillar cloud transformation programs using SAFe. Own PI planning, program cadence, risk and dependency management, stakeholder communication, and coaching of Scrum Masters. Support backlog organization, change management, and Jira/Confluence administration to ensure value delivery.

Lead and facilitate Scrum ceremonies, coach teams on agile practices, coordinate migrations with application owners, manage risks and dependencies, maintain Jira artifacts and sprint reporting to enable predictable delivery.

Lead strategic cloud migration planning and stakeholder discussions; assess on-prem VMware environments; define target cloud architectures and governance; design cloud network and security (Palo Alto); oversee hands-on migration of VMs and complex workloads to ROSA/AWS/Azure/GCP; implement containerization and OpenShift migration strategies.

Design, administer, and optimize Postgres databases on cloud-native platforms. Triage and remediate production database incidents, manage replication/backups, evaluate schemas and queries for performance, and build repeatable DB architecture using IaC and GitOps for AWS/GCP Kubernetes environments.

Lead technical pre-sales for enterprise contact-centre AI deals: perform discovery and architecture assessments, design solutions, run demos and POCs, author RFP/RFI technical responses, engage technical stakeholders, and ensure delivery readiness and competitive positioning across assigned region.

Build and scale backend systems for Knak’s AI-powered marketing automation platform. Develop Laravel APIs, Python and Node.js AI microservices, and scalable AWS infrastructure. Optimize MySQL databases, support observability and performance, maintain code quality through testing and reviews, collaborate cross-functionally, contribute to architecture decisions, and mentor engineers.

Embed with client engineering teams to deploy, integrate, and scale enterprise generative AI solutions. Build agentic systems, train and serve LLMs with Vertex AI, integrate models with BigQuery/AlloyDB/Spanner, implement streaming inference pipelines, and ensure operational reliability while collaborating with stakeholders to translate business goals into production-grade architectures.

Build high-performance API services and production-grade Generative AI systems. Design and implement end-to-end RAG pipelines, vector stores, embeddings, and latency-optimized generators. Develop agentic AI using LangChain/CrewAI/Semantic Kernel, integrate LLM APIs and AWS Bedrock, manage CI/CD and ML pipelines, and apply evaluation frameworks to detect hallucinations and optimize performance.

Lead architecture and technical direction for the NHI Governance domain, owning complex server-side initiatives to discover, assess, and remediate non-human identities across cloud and on-prem environments. Define standards, interfaces, and contracts; drive quality, security, observability, performance; mentor senior engineers; and partner with product and design to align technical strategy with business goals.