Top AWS Jobs in Calgary

Design and build Samsara’s cloud governance platform, including IAM guardrails, security controls, compliance automation, and software supply-chain security tooling across AWS and GCP. Develop reliable distributed systems, secure CI/CD patterns, and SAST/DAST capabilities. Contribute to technical roadmaps, collaborate across infrastructure, security, compliance, and engineering teams, and communicate design tradeoffs while mentoring teammates through reviews and pairing.

Build and deploy AI-powered solutions for clients by scoping ambiguous problems, designing LLM workflows, integrating data and retrieval systems, and creating scalable production tooling. Collaborate with technical and non-technical stakeholders, iterate based on operator feedback, optimize workflows, and support customer deployments. The role requires strong Python and software or ML engineering skills, production deployment experience, communication abilities, customer on-call availability, travel as needed, and hybrid office attendance.

Design, build, and productionize LLM-powered systems (adaptive content, tutors, evaluators) and AI pipelines (RAG, embeddings, fine-tuning). Prototype and optimize models across modalities, define AI safety/evaluation/observability practices, and collaborate with product and engineering to measure learner outcomes and iterate.

Build and operate end-to-end consumer-scale features across backend services, APIs, iOS, and Android for Life360’s Aging in Place segment. Use AI tools and agentic workflows extensively, establish AI-native engineering practices, contribute to architecture and code reviews, participate in on-call response, mentor teammates, and ensure performance, reliability, accessibility, and member impact across owned features.

Lead architecture and technical direction for scalable SaaS platform capabilities, including APIs, distributed services, data flows, and AI-enabled features. Establish responsible AI and agentic engineering practices, evaluation and guardrail systems, production-readiness standards, secure-by-design controls, testing, CI/CD, observability, and reliability practices. Drive complex cross-functional initiatives, mentor engineers, conduct architecture and code reviews, and shape technical roadmaps and engineering standards.

Provides expert technical support for complex software issues involving microservices, APIs, integrations, operating systems, cloud platforms, and networking. Resolves escalated cases, collaborates with Engineering and Product, analyzes ticket trends, maintains documentation, and mentors junior engineers. Builds and optimizes Zendesk workflows and support automation using tools such as Superblocks, n8n, Tines, and webhooks to improve operational efficiency and customer satisfaction.

Lead development of secure, scalable digital banking software across front-end and backend systems. Design Angular or React applications, build APIs, optimize SQL performance, integrate third-party platforms, improve code quality, implement testing strategies, and mentor engineers. Collaborate with cross-functional teams in an Agile environment while supporting cloud-native practices, regulatory compliance, and continuous product improvement.

Own the technical aspects of enterprise airline deals from qualification through deployment and expansion. Design integration and cloud architectures, lead demos and proofs of concept, respond to RFPs and security questionnaires, review technical contracts, and ensure customer commitments align with engineering capabilities. Build reusable technical assets, support adoption, and communicate customer requirements to product and engineering teams.

Designs and delivers cloud-based insurance solutions for enterprise clients. Responsibilities include gathering requirements, creating solution architectures, collaborating with product and delivery teams, selecting technology components, supporting implementations, defining roadmaps, and advising clients. The role emphasizes AWS or GCP, scalable and highly available applications, relational and NoSQL databases, APIs, microservices, identity integration, and insurance business processes.

Administer and support large-scale cloud and on-premises monitoring deployments across multiple providers. Maintain performance, availability, capacity, permissions, upgrades, and audit compliance. Integrate applications and infrastructure with enterprise monitoring instrumentation, document operational processes, collaborate with technical teams, and mentor colleagues on observability practices. The role requires expertise in monitoring platforms, application performance monitoring, synthetics, end-user experience, infrastructure monitoring, distributed tracing, cloud services, scripting, SQL, and multiple operating systems.

Supports pre-sales opportunities by translating customer requirements into technical solutions, leading demos and technical evaluations, designing permission schemas and proofs of concept, troubleshooting demonstrations, and collaborating with account executives, product, and engineering teams. The role requires backend programming, database, cloud, Kubernetes, API integration, and architecture expertise, plus strong customer communication. Travel is typically 3 to 4 days per month for customer visits and team offsites.

Build and operate Ground News’s data platform, including warehouse integrations, scalable dimensional models, analytical layers, and KPI infrastructure. Own ingestion pipelines, data quality, monitoring, incident response, infrastructure as code, and deployment workflows across AWS and GCP. Partner with analysts, ML engineers, and product stakeholders to create reliable, reusable data models and ensure accurate, observable, cost-effective data systems.

Build and scale Geolava’s spatial intelligence products across the frontend and backend. Design APIs, data models, LLM agent workflows, and production services while owning features from concept through deployment, monitoring, and iteration. Collaborate with product, design, research, and engineering teams to solve ambiguous problems, establish engineering standards, and deliver reliable, polished systems for enterprise and government customers.

Build and scale automated infrastructure provisioning across physical data centers and AWS/GCP environments. Develop continuous delivery pipelines for software, servers, and network switches. Manage vendor relationships, procurement, hardware purchasing, and remote workforce setup. Collaborate within a multidisciplinary infrastructure team with shared responsibility for systems and networks. The role requires automation, scripting, systems and network engineering, vendor management, and continuous learning. Familiarity with authentication protocols, Azure Active Directory, and highly available PostgreSQL architectures is desirable.

Build tools and infrastructure for training language and multi-agent models in interactive environments; research and implement advances in language modeling and reinforcement learning; contribute to publications and open-source projects.

Own complex, cross-functional software programs from planning through release, coordinating engineering, product, design, QA, platform, and operations teams. Establish program governance, manage dependencies and risks, report to senior leadership, and improve PMO standards. Design reusable AI-powered workflows using tools such as Jira and Confluence, maintain prompt and automation libraries, mentor program managers, and serve as the PMO’s AI thought leader.

Owns Kubernetes observability, logging, alerting, lifecycle automation, scaling, upgrades, and cost optimization. Partners with engineering teams on infrastructure decisions, resolves reliability issues, participates in on-call rotations, and leads incident response, root-cause analysis, and blameless postmortems. The role requires production-scale Kubernetes, cloud infrastructure, infrastructure as code, GitOps, observability, Linux, networking, and programming expertise.

Own and evolve WorkOS’s internal data platform, including ingestion, orchestration, Snowflake, dbt models, data governance, reverse ETL, semantic views, and AI-enabled data workflows. Ensure pipeline reliability, freshness, security, and scalability while partnering with Product, Finance, RevOps, GTM, Engineering, and Security. Build monitoring, runbooks, CI/CD gates, access controls, masking policies, and infrastructure automation across AWS and Kubernetes.

Leads the development and operation of business-critical enterprise systems and integrations. Manages and coaches developers while remaining hands-on with production code, architecture, technical standards, and delivery. Partners with Finance, Legal, HR, Customer Operations, Security, IT, and Data leaders to translate business needs into durable technical solutions. Oversees cross-functional initiatives, release discipline, infrastructure automation, system risk, roadmap prioritization, and team performance.

Build and operate scalable, resilient, distributed services across AWS and Azure. The Senior Site Reliability Developer will automate infrastructure, develop platforms and frameworks, establish monitoring and incident response practices, define runbooks, reduce operational toil, lead delivery projects, mentor engineers, and participate in technical interviews and on-call rotations. The role requires expertise in cloud infrastructure, infrastructure as code, CI/CD, Kubernetes, observability, telemetry, and SRE practices including SLOs, SLIs, and error budgets.

Lead Qumulo’s Northern California regional sales organization, owning go-to-market strategy, revenue targets, pipeline management, forecasting, strategic accounts, partner alliances, and executive customer engagement. Manage and develop Account Executives while collaborating with Sales Engineering, Marketing, Alliances, and Customer Success. The role focuses on enterprise sales of data storage, cloud, SaaS, and infrastructure solutions across technology, AI/ML, autonomous vehicle, and life sciences markets.

Own the technical design and engineering direction for a bilingual nonprofit digital platform. Connect the frontend, headless CMS, accounts, integrations, and AWS infrastructure while assessing scalability, performance, recovery, cost, and future AI enablement. Provide hands-on technical leadership, code reviews, architecture documentation, knowledge transfer, and delivery handover. Collaborate remotely with client product, project management, UX, and content teams.

Lead design and operation of scalable AWS/GCP cloud infrastructure. Build and operate Kubernetes (EKS), Docker, Terraform/Terragrunt, Helm and GitOps workflows. Improve CI/CD with GitHub Actions and ArgoCD, implement monitoring and observability, strengthen security, disaster recovery, and developer self-service automation to improve platform reliability and productivity.

As a Lead Test Engineer, you will design test strategies, implement automation, evaluate user experience, and ensure overall feature quality while collaborating with cross-functional teams.

Leads partner technical discovery, designs and implements payment API integrations, builds scripts and lightweight services, and manages deployments from sandbox to production. The role develops AI-assisted engineering assets, delivery playbooks, and automation while collaborating with Sales, Product, and Operations. It requires customer-facing technical experience, software or solutions engineering expertise, and familiarity with APIs, integrations, cloud platforms, payments, and AI developer tools.