Top AWS Jobs in Calgary

Lead the Hosting Platform engineering team owning roadmap, reliability, scalability, and performance for hundreds of thousands of sites. Drive architecture for edge delivery, container orchestration, databases, caching, and multi-tenant infrastructure; define SLOs, observability, and incident response. Mentor managers and senior engineers, handle critical customer escalations, balance technical debt, and champion AI-native tooling and automation.

As a Senior Software Engineer, you will lead your team in delivering features according to specifications, ensuring scalable technical decisions, and mentoring team members.

As a Growth Engineer, you will integrate Ritual's AI infrastructure with partner applications, supporting integration lifecycle and developing documentation for APIs and SDKs.

Join Docker's IAM team as a Senior Software Engineer to design and operate backend identity services focusing on authentication, authorization, and security for millions of developers. You'll lead projects, mentor teammates, and evolve Docker's identity model in a remote-first global environment.

As a Senior Agentic AI Engineer, you will lead innovation in AI initiatives, from ideation to prototyping, collaborating with teams to deliver impactful solutions.

As a Full Stack Software Engineer at Doxel, you will design and develop full-stack applications, collaborating cross-functionally to optimize user experiences and facilitate data processing for construction projects.

The Lead Software Engineer will design and develop full-stack applications for construction project management, ensuring intuitive data workflows and collaborating across teams to enhance user experience and performance.

Lead the engineering team managing 300+ destination integrations, focusing on technical execution, product improvements, and mentoring engineers while ensuring customer satisfaction.

Design and build secure, scalable systems as a Full-Stack Software Engineer, leveraging expertise in Next.js, TypeScript, PostgreSQL, and AI tools to enhance cybersecurity within global infrastructure.

The Senior Full-Stack Software Engineer will design, build, and maintain secure, scalable web applications using modern technologies, with a focus on AI-assisted development and application security.

Lead the architectural design of machine learning systems, develop high-impact models, and mentor junior data scientists while ensuring data transparency and ethical AI practices.

As a Platform Engineer for Databases, you'll optimize MySQL infrastructure, solve performance problems, automate processes, and ensure database reliability in a collaborative team setting.

Provide remote technical support, troubleshoot issues, design security solutions, manage cloud and virtualization environments, and communicate with clients. Requires strong IT skills and customer service.

The Senior Machine Learning Engineer will develop and optimize AI image generation models, monitor production issues, and collaborate on ML solutions for generative features.

The Senior Software Engineer will architect and build scalable cloud infrastructure, collaborate with teams, and improve system security and performance.

As a Senior Full-Stack Software Engineer, you will design, build, and ship AI-powered systems to optimize workflows in the single family rental market, focusing on backend services and full-stack development in a fast-paced environment.

Own end-to-end design, architecture, build, test, deploy, and monitoring of highly available full‑stack web platforms. Maintain CI/CD pipelines, optimize relational databases, mentor engineers, handle on‑call incidents, and align technical stakeholders.

Own, harden, and operate bare-metal virtualization, HA storage, Linux pools, networking, monitoring, and incident response. Automate configuration and deployments, run audits, manage user environments, and act as primary on-call responder to ensure continuous uptime and security.

Design, build, and deploy ML models across diverse use cases; work with managed cloud ML platforms and containerized solutions; collaborate with engineers on production integration and MLOps best practices; preprocess and analyze large datasets; mentor teammates and influence technical direction; translate complex ML concepts for technical and non-technical stakeholders.

Lead end-to-end client ML engagements: scope problems, design, build, and deploy production ML solutions across cloud and containerized stacks. Lead and mentor small teams, manage client relationships, evaluate emerging tools, and ensure models are production-ready and explainable to technical and non-technical stakeholders.

Design, develop, and maintain scalable Python applications and services. Build and integrate RESTful APIs, work with relational and non-relational databases, implement microservices, perform unit testing, optimize performance, participate in code reviews, and support deployments using cloud platforms, containerization, and CI/CD in an Agile environment.

Design, build, and operate internal developer platform components—CI/CD pipelines, Kubernetes-based tooling, GitOps workflows, and IaC—improving developer velocity and reliability. Mentor engineers, drive cross-team platform initiatives, track metrics, contribute to incident response, and build AI-powered automation for detection, triage, and developer productivity.

The Software Engineer will design and build systems for sharded PostgreSQL, collaborate with a team to solve distributed systems challenges, and directly engage with customers to create technical solutions.

Senior individual contributor role at an early-stage, distributed startup. Partner with the VP Engineering to solve hard engineering problems, build product features, and ship at scale using TypeScript, Postgres, and AWS. Must be hands-on, product-oriented, and experienced operating systems at scale.

Drive redesign of the new-customer experience by building features across Python services, a GraphQL gateway, Auth0-based auth, and Terraform-managed GCP infrastructure. Collaborate cross-functionally, ensure reliable, well-tested deployments, and independently drive projects to completion.