Top AWS Jobs in Calgary

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.

The Senior Back-End Developer builds and maintains server-side operations for cloud solutions, collaborating with teams to deliver software, support users, and document features.

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.

Support the CEO and a ten-person FileMaker development team by managing work orders, time tracking, IT/security monitoring, onboarding/offboarding, marketing campaigns, and internal documentation. Maintain Hubstaff and FileMaker alignment, administer device security tools, coordinate maintenance/outage communications, and own recurring operational processes to ensure accuracy and reliability.

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.

Own infrastructure strategy and operational excellence for Remote Build: design IaC with Terraform and Kubernetes, implement observability and incident response, embed security and compliance, optimize performance and costs, automate toil, and improve platform reliability and developer experience.

Design and build a test automation framework from scratch; write and maintain API, integration, and end-to-end UI tests; integrate suites into CI/CD; reduce flakiness; apply and evaluate AI-assisted testing tools; mentor engineers and raise automation quality across squads.

Design and architect scalable, secure cloud solutions by analyzing complex requirements, selecting and integrating technologies, producing technical documentation, leading stakeholder presentations, collaborating with development teams for implementation, mentoring junior architects, and continuously evaluating emerging technologies for optimization and compliance.

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.

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.

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.

Design, train, and deploy ML and NLP models (including custom transformers) using modern tooling; prepare and transform large datasets; monitor production pipelines; communicate results to stakeholders; ensure model reliability, explainability, and ethical alignment.

The Artificial Intelligence Engineer at Precision AI will lead AI/ML projects, develop and optimize machine learning models, and ensure technical quality while mentoring junior engineers.

Lead a systems engineering team to design, deploy, and operate scalable AWS infrastructure. Author infrastructure-as-code, improve observability and automation, mentor engineers, partner with product teams on security, reliability, and performance, and hire top talent to support global SaaS capabilities.

Develop scalable applications and backend infrastructure for brand safety and content suitability. Design APIs, deploy ML models, and manage database systems.

Seeking a Sr DevOps Engineer to design and maintain secure, scalable AWS cloud infrastructure, manage CI/CD pipelines, and improve system reliability across advanced data analytics platforms.

As a Senior Ruby on Rails Engineer, you will define and improve APIs, develop and maintain scalable web applications, and promote best coding practices while collaborating with product and design teams.

The Senior Data Platform Engineer will design and operate a unified data platform, ensuring reliable data flows and collaborating across teams to shape data strategy and architecture.

Senior technical leader designing, building, and evolving cloud infrastructure, automation, and platform capabilities. Lead DevOps architecture, CI/CD, IaC, Kubernetes/Docker orchestration, cloud migrations (AWS/Azure), security/compliance, observability, and SRE practices while mentoring teams and driving platform modernization and reliability for enterprise SaaS.

The Senior DevOps Engineer will manage AWS cloud architecture, lead CI/CD initiatives, ensure security compliance, and mentor team members. Responsibilities include designing resilient systems, optimizing infrastructure, and enhancing observability and governance across production environments.

Design, build, and operate scalable, secure cloud infrastructure and CI/CD pipelines. Manage Kubernetes environments, implement IaC (Terraform), improve observability, troubleshoot production issues, support security/compliance, and mentor junior engineers to optimize platform reliability and cost.

Design, build, fine-tune, and deploy production-grade AI and ML systems (LLMs, RAG). Develop scalable APIs, integrate AI into business systems, monitor model performance, and collaborate with cross-functional teams.

Design, build, deploy, and optimize AI/ML models and pipelines (including LLMs and RAG). Integrate models into production, work with cross-functional teams, ensure monitoring and compliance, and contribute to scalable AI systems and automation.