Top AWS Jobs in Calgary

Owns complex Tier 2 and Tier 3 customer support issues for SaaS products, using SQL, logs, sandboxes, and cloud infrastructure knowledge to troubleshoot and resolve problems. Builds customer relationships, documents cases in Zendesk, coordinates with Development, QA, Implementation, and Product teams, mentors junior support staff, contributes to knowledge-base content, and improves support processes. The role also supports implementation-to-production transitions and applies AI tools to enhance support workflows.

Leads delivery of medium- and large-scale AWS digital transformation programs, overseeing planning, execution, reporting, risk mitigation, quality, customer outcomes, and continuous improvement. Manages multi-functional teams of business analysts and engineers, develops product and service roadmaps, identifies business opportunities, resolves customer issues, and coaches, recruits, and develops staff. Requires strong program management, client service, agile delivery, business analysis, communication, and team leadership experience.

Designs, secures, operates, and supports multi-account cloud infrastructure across AWS, Azure, and GCP. Responsibilities include AWS networking, Terraform infrastructure as code, GitHub Actions CI/CD pipelines, identity and access management, cloud governance, observability, incident response, disaster recovery, cost optimization, and compliance controls. The role also develops automation, maintains technical documentation, and provides after-hours support when needed.

Owns end-to-end cloud operations for a multi-region SaaS portfolio, ensuring availability, performance, reliability, and cost efficiency. Leads production availability incidents, triage, resolution, root cause analysis, configuration and change management, monitoring, and alerting. Builds and develops a team of system administrators and SREs while partnering with Development, Technical Security, and Support to improve operational readiness and accountability across AWS and Azure environments.

Build and own ML infrastructure for distributed training, inference, experiment tracking, model registries, and CI/CD. Enable active-learning and closed-loop optimization, collaborate with computational scientists, and mentor colleagues to translate research prototypes to production-grade systems.

Build, prototype, and deploy production-quality AI agents, copilots, and automation workflows integrated with enterprise and OT systems. Own end-to-end technical delivery, testing, monitoring, and hand-off. Translate business requirements with AI Transformation Managers, evaluate AI platforms, build guardrails, troubleshoot scale issues, create reusable accelerators, and mentor junior technical staff.

Design, build, and scale resilient distributed payment systems handling 1,000+ transactions per second. Collaborate with Product, Revenue Operations, Cloud Platform, and Security teams to shape product requirements and roadmaps. Lead AI-augmented software delivery, code reviews, testing, observability, performance optimization, incident response, on-call rotations, and root cause analysis while maintaining strict security, reliability, and low-latency standards.

Lead design and delivery of reliability projects for Coinbase's platform: secure service configuration and secrets management, improve canary-based deployments, partner with core services to increase scalability and reduce incidents, drive reliability best practices, and participate in on-call rotations.

As a Senior Software Engineer, you will design and build a new lifecycle orchestrator service, mentor engineers, and drive technical strategies while improving engineering standards and processes.

Own the vision, roadmap, and delivery of AI and analytics capabilities for an enterprise EHSQ SaaS platform. Lead customer and market discovery, prioritize backlogs, define product metrics, and partner with engineering, data science, architecture, design, sales, marketing, and services teams. Drive AI feature launches, adoption measurement, governance, enablement, pricing, and executive communications while ensuring trustworthy, explainable, and compliant product experiences.

Build and operate full-stack services for non-human identity governance across cloud and on-premises environments. Responsibilities include developing APIs, backend services, data pipelines, and occasional UI features; owning features through production; participating in design and code reviews; resolving reliability issues; applying secure development, testing, and observability practices; and mentoring engineers.

Leads finance transformation for hyperscaler marketplace operations, designing scalable financial systems, automating marketplace workflows, integrating AWS, GCP, and Azure platforms, and building transaction data pipelines. Oversees revenue recognition, ASC 606 compliance, reconciliations, billing integrity, and marketplace fee tracking. Partners across Finance, Sales Operations, Product, Engineering, and IT while managing UAT, change initiatives, and SOP development for new marketplace capabilities.

Build and deploy production GenAI systems, agentic workflows, retrieval pipelines, and data services for enterprise customers. Learn operational domains firsthand, redesign business processes, create evaluation harnesses, write production Python or TypeScript, and deliver observable AWS-based systems. Partner with executives, engineers, and operators to drive adoption and measurable business outcomes while contributing reusable industry blueprints.

Own two revenue motions: convert Anthropic and AWS partner-sourced enterprise leads into consulting clients and independently build pipeline in Financial Services and Life Sciences. Manage relationships with partner and field sales teams, lead co-selling and joint go-to-market activities, run discovery through signed SOW, prospect enterprise decision-makers, scope consulting proposals with delivery teams, and provide market intelligence to leadership. Travel up to 40% for customer and partner engagements.

Lead infrastructure strategy and architecture across AWS, platform engineering, deployment pipelines, and infrastructure as code. Build scalable cloud infrastructure, internal tools, automation, and backend services that improve developer productivity and operational efficiency. Partner with engineering and data teams, establish observability and operational best practices, mentor engineers, and make architectural tradeoffs balancing cost, performance, security, and development speed.

Define product strategy, vision, roadmaps, success metrics, and delivery plans for complex client engagements. Lead discovery, prioritization, stakeholder alignment, executive communication, and cross-functional collaboration across engineering, design, delivery, and strategy. Build trusted client relationships, facilitate workshops, mentor PMs, establish delivery standards, and resolve complex product and technical challenges. Apply AI tools such as Claude to accelerate research, discovery, synthesis, and documentation.

Own and improve AWS infrastructure, shared platform services, infrastructure-as-code workflows, Kubernetes deployments, observability, and operational reliability. Troubleshoot distributed systems, support incident response, establish infrastructure standards, and partner with engineering teams on resilient, scalable system design.

Build and operate production systems for agentic development experiences, including agent execution, tool use, context management, streaming, integrations, and long-running workflows. Extend provider-agnostic model architecture and connect agents with workspaces, tools, and developer infrastructure. Own projects through rollout, collaborate with Product and Design, participate in reviews, and improve system reliability, performance, and operability.

Build and operate mission-control software and distributed microservices supporting satellite scheduling, tasking, telemetry processing, and fleet operations. Responsibilities include designing HTTP APIs, selecting technologies, deploying critical infrastructure, maintaining automation, and collaborating with satellite operations, ground systems, pipeline, and product teams. The role requires Python, relational databases, testing, CI/CD, Docker, GitLab CI, Linux, and strong communication skills, with cloud, infrastructure-as-code, monitoring, microservices, and aerospace experience preferred.

The Senior Forward Deployed Engineer manages client relationships, architecting, building, and closing deals while ensuring autonomous delivery of AI solutions. Responsibilities include discovery, architecture reviews, and capability transfer to clients, requiring significant engineering and client-facing experience.

Build and deploy applied machine learning models and data-driven systems that classify, cluster, label, and enrich Internet-observed assets. Develop feature pipelines, training datasets, evaluation frameworks, confidence scoring, and production inference services. Collaborate with engineering, research, security, and product teams to transform raw Internet telemetry into high-quality datasets and customer-facing insights.

Industry Expert who reviews and defends advanced AI, ML, distributed systems, and forward-deployed engineering projects. Responsibilities include challenging architecture decisions, chairing mock review boards and executive presentations, hosting one or two technical sessions monthly, and serving as the escalation point for instructors. The role requires production-scale engineering judgment, strong technical communication, and expertise in agentic systems, LLM evaluation, infrastructure, observability, model serving, RAG, or enterprise deployments.

Own and scale Nango’s cloud platform, including compute, networking, data infrastructure, Kubernetes, IaC, and GitOps. Lead BYOC and private-cloud deployments, productize provisioning and upgrades, establish SLOs and incident processes, operate PostgreSQL, Redis, Elasticsearch, and ClickHouse, and oversee infrastructure security and compliance. Help shape product strategy while supporting a remote-first, autonomous engineering team.

Own and scale Nango’s cloud platform, including compute, networking, databases, Kubernetes, IaC, and GitOps. Lead BYOC and private-cloud deployments, improve provisioning and observability, establish SLOs and incident processes, and manage Postgres, Redis, Elasticsearch, and ClickHouse at scale. Drive infrastructure security and compliance for SOC 2, GDPR, HIPAA, and enterprise reviews while shaping product strategy and supporting a remote-first engineering team.

Design, deploy, and maintain AWS and Databricks data infrastructure, data lakes, and scalable ETL pipelines. Build custom ingestion services and connectors using Airbyte, Go, and Python; optimize performance, reliability, monitoring, and data quality. Implement cloud data governance, security, access controls, encryption, and compliance practices while collaborating with platform engineers, analysts, and stakeholders.