Top AWS Jobs in Calgary

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 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.

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.

As a Backend/AI Systems Engineer, you will develop backend systems for AI workflows and enhance core functionalities for Spellbook's legal software. You'll tackle complex problems, ensure system reliability, and collaborate with product teams, while maintaining a hands-on ownership approach.

The Senior Data Engineer will lead the design and development of scalable data infrastructure for analytics and AI capabilities, ensuring compliant data processing systems and improving the data platform.

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.

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.

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.

Own and operate infrastructure-as-code across cloud, on-prem, and bare-metal; build CI/CD pipelines; containerize and orchestrate services; maintain observability and reliability; participate in on-call and incident response; enable engineering teams with self-service tooling and secure deployment practices.

Design, build, and operate backend services and APIs that deliver real-time GNSS/RTK corrections at low latency and high availability. Own ingestion, processing, distribution, observability, and testing of distributed systems while collaborating with cross-functional teams and responding to customer needs. Focus on scalability, reliability, performance, and production readiness for a large device fleet.

Design, build, and operate scalable backend services in Python or Go to power underwriting decisioning. Integrate statistical and ML models, implement APIs (REST, gRPC/GraphQL), ensure observability and testing, lead projects, and collaborate with product, data science, and underwriting teams to automate underwriting workflows.

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.

Design and deliver full-stack features for AI voice and chat products at enterprise scale. Integrate ASR/TTS and LLM improvements, optimize production systems for latency and cost, participate in on-call rotations, and collaborate with product and ML teams to ship high-impact, scalable solutions.

Build full-stack features for AI voice and chat products using TypeScript, Node.js, React, and Python. Integrate ASR/TTS and LLM improvements, optimize production systems for latency and cost, participate in on-call rotations, and collaborate with ML and product teams to scale enterprise AI conversations.

Active enterprise sales role for a defined Quebec territory: prospect and acquire net-new logos, grow existing accounts, build and manage pipeline, engage InfoSec stakeholders, develop value-based proposals, collaborate with sales engineers and channel partners, maintain forecasts, and use AI tools to improve sales productivity.

Design, build, test, and deploy scalable full-stack web applications using a modern Java-based stack. Develop backend services and APIs, create responsive front-end components, optimize database performance, support CI/CD, participate in code reviews, write automated tests, and mentor junior developers while collaborating with cross-functional teams.

Lead architecture, design, and delivery of enterprise-scale Agentic AI solutions. Oversee multiple engineering pods, mentor teams, manage client-facing architecture discussions, ensure production-grade MLOps, cloud infrastructure, microservices, observability, and adoption of emerging AI technologies.

Lead architecture and delivery of highly available, resilient cloud and on‑prem systems for the Password Safe platform. Own platform engineering, CI/CD pipelines, IaC/GitOps, release orchestration, observability (metrics/logs/traces), chaos engineering, SLO/SLI definition, and core services. Mentor engineers, define SRE strategy, and drive reliability, security, and automation improvements.

Lead and deliver platform engineering, DevOps, and CI/CD initiatives from design through production. Build and maintain CI/CD pipelines, AWS infrastructure with IaC, Kubernetes/EKS environments, automation scripts, observability, and secure engineering practices. Troubleshoot production issues, participate in on-call rotations, and mentor junior engineers to improve reliability and developer productivity.

Build and prototype state-of-the-art large language models and AI assistants, take services from ideation to production, fine-tune open-source models, use LLM platforms, analyze model statistics and projections, and collaborate cross-functionally in a fast-paced hybrid Palo Alto environment.

Build and maintain backend systems and infrastructure for an AI-focused startup. Implement services in Python/TypeScript, design moderately complex systems, manage SQL/NoSQL databases, deploy on public cloud (AWS/GCP/Azure), use containerization and IaC, build CI/CD pipelines, implement monitoring/logging (Prometheus/Grafana/ELK/DataDog), and ensure strong networking, Linux, and database security.

Trusted technical advisor for strategic customers to deploy, operate, and scale LanceDB. Lead onboarding, architecture reviews, and performance tuning; troubleshoot distributed-system issues; build dashboards and enablement; collaborate with sales engineering and product/engineering to influence roadmap and resolve escalations; contribute runbooks, tooling, and processes for post-sales success.

Serve as technical lead in pre-sales: architect and demo LanceDB solutions for RAG, vector search, and ML pipelines; run discovery sessions, build POCs, onboard partners, and relay customer feedback to product and engineering.

Lead technical partner enablement and co-delivery for LanceDB: onboard and train partner engineers, run PoCs and architecture reviews, author reference architectures and deployment blueprints, relay partner feedback to product, and support GTM and thought-leadership activities to scale partner integrations.