Top AWS Jobs in Calgary

Contribute to the reliability and performance of Mithril's GPU orchestration platform through automation, observability, and infrastructure management. Collaborate with the team to ensure scalability across multi-cloud environments while maintaining systems stability and implementing SLOs.

Design and build the Neki control plane to provision, scale, and heal sharded PostgreSQL clusters. Implement high-availability, disaster recovery, backup/restore, and migration tooling. Operate distributed, fault-tolerant services on Kubernetes, participate in on-call rotations, and work with customers to translate workloads into platform improvements.

The Frontend Engineer will build web interfaces for a healthcare APIs clearinghouse while collaborating across teams to ensure high-quality, responsive design and functionality.

Lead and grow an SRE team to ensure platform reliability and scalability. Own incident response, on-call execution, post-mortems, and SRE processes (incident, change, capacity, problem management). Partner with Product and Engineering to embed reliability, track operational KPIs, and optimize workflows to reduce risk.

You will design and implement IAM systems, own authentication and authorization, and ensure secure-by-default principles across Hadrian's API platform.

As a Reliability Engineer, you'll design, implement, and maintain AWS cloud environments, ensuring systems' reliability and performance, while enhancing monitoring and incident response capabilities.

Partner with sales and enterprise clients to design and architect Amazon Connect-based contact center and CX solutions. Lead pre-sales workshops, author proposals/SOWs, build proofs-of-concept, integrate AI/ML (Amazon Lex, Bedrock), ensure compliance and security for regulated industries, and evangelize Amazon Connect capabilities through thought leadership.

The Data Platform Marketing Manager will lead marketing strategies for DoiT's data lake and Snowflake optimization business, aiming to drive growth and impact.

Build and maintain Quora's ML platform and ranking infrastructure to serve large-scale ML models. Work on GPU model serving, distributed systems, developer tooling, feature store modernization, and on-call rotation to ensure high availability, performance, and cost efficiency.

Design, build, and deploy AI-powered legal applications using LLMs, RAG, and agentic AI. Partner with legal stakeholders to translate workflows, build document ingestion and vector search pipelines, ship production-grade features, implement governance/security controls, and mentor/legal users while aligning solutions with enterprise architecture and monitoring quality and evaluation metrics.

Build and scale the enterprise sales organization: define sales architecture, hire and lead founding sales team, own enterprise ARR growth, close initial six- and seven-figure deals, establish land-and-expand motions, manage channel/partner strategy, navigate enterprise security/procurement, and align sales with product and engineering.

Lead design and operations of GPU infrastructure and Kubernetes-based AI platform environments. Manage capacity planning, optimize training/inference workloads, define reliability and security practices, implement IaC, monitoring, and disaster recovery, and collaborate with AI engineering to evolve infrastructure.

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.

Design and build end-to-end, enterprise-grade systems that enable AI agents to initiate and complete finance workflows. Own features across backend and frontend, integrate AI/ML models into auditable production systems, ensure scale, security, and reliability, and collaborate with product and customers to solve accounting problems.

Design, build, and operate secure, tenant-isolated cloud infrastructure and CI/CD for an AI-native multi-tenant platform. Implement observability, policy-as-code, SLAs, incident response, and automate provisioning (Terraform/Helm). Support deployment, monitoring, and secure operations for ML/agent systems at scale.

Founding full-stack engineer to architect and build a production platform combining large-scale data systems and AI-native agents. Work across backend, frontend, data pipelines, agents, and deployment systems; define architecture, devops, CI/CD, and early engineering processes while shipping features and growing the team.

Lead the design and delivery of SaaS products powered by data, ML, and AI, collaborating across backend, systems, and cloud infrastructure. Drive architecture evolution, ensure operability and performance, and mentor engineering teams.

Operate, maintain and improve the global Tyk Cloud platform: run production Kubernetes clusters, manage cloud infrastructure, automate operations, run on-call incident response, create monitoring and dashboards, conduct post-incident analysis, document SRE processes, and drive reliability, efficiency and multi-region/multi-cloud expansion.

The Business Solution Architect leads the design and delivery of telecom solutions, bridging business needs and technical implementation while supporting digital transformation initiatives and guiding teams on architecture and integration.

The Senior Machine Learning Engineer will lead machine learning infrastructure improvements, mentor engineers, and ensure model deployment and optimization standards are met. Responsibilities include architecting ML pipelines and engaging with stakeholders on tech solutions.

Own cloud operational health, architecture intelligence, and cost optimization. Analyze cloud spend, build dashboards/reporting, enforce governance, review architecture for cost impact, and translate technical findings for engineering, finance, and executives.

The role involves leading full-stack architecture decisions, building scalable systems, optimizing performance, and mentoring developers, while driving platform strategies.

The role involves designing and building event-driven data services on AWS, focusing on real-time streaming, microservices, and integration with various AWS data services, ensuring scalability and quality.

The role involves designing and implementing scalable backend services using Node.js and AWS, ensuring data integrity through SQL, optimizing system performance, and collaborating effectively with cross-functional teams in an agile environment.

Design, build, and operate AWS-native AI/ML systems: RAG pipelines, fine-tuned LLMs, and microservices. Implement IaC (Terraform), CI/CD, policy guardrails, and production deployments integrating Bedrock/SageMaker, LangChain, and telemetry for secure, scalable enterprise use.