Top AWS Jobs in Calgary

Build and operate backend systems supporting post-transaction card account accuracy, issue resolution, and customer communications. Break down projects, deliver work in phases, collaborate with product and cross-functional teams, monitor system metrics, support availability and on-call operations, and contribute to code reviews and interviews. The role requires backend development experience, distributed systems knowledge, and proficiency in Python or Kotlin, AWS, MySQL, and Kubernetes.

Monitor, investigate, and respond to cybersecurity and financial fraud incidents, including account takeovers, EFT anomalies, suspicious activity, and impersonation. Lead triage, root-cause analysis, threat hunting, detection improvement, and incident response playbook development. Use automation and AI/ML to strengthen fraud detection and security operations. Collaborate with Legal, Finance, and business teams while mentoring junior analysts and improving operational processes.

Build Precision AI’s first dedicated data platform, covering lakehouse architecture, AWS-based ingestion, orchestration, data quality, lineage, versioning, and cost optimization. Develop reliable pipelines for drone imagery and telemetry, enable reproducible ML training datasets, and establish engineering standards. Later, extend the platform for business analytics with warehousing, dbt, and semantic modeling. This is a hands-on senior individual contributor role based in Calgary with hybrid headquarters attendance.

Lead the design, scalability, reliability, and optimization of continuous integration systems across multiple services and platforms. Improve build times, testing, reporting, deployment workflows, monitoring, and incident response. Drive CI/CD strategy and developer productivity initiatives, mentor CI engineers, collaborate across engineering, and align infrastructure with company goals. The role also requires expertise in modern build systems, cloud-native environments, infrastructure as code, and large monorepos.

As a Software Application Developer, you will design, build, and support secure applications, using Java and Spring Boot, with a focus on integrating AI and cloud technologies. Full SDLC involvement and collaboration with cross-functional teams is essential.

Owns GitLab’s enterprise pricing, packaging, monetization, and commercialization strategy. Develops pricing programs, enterprise agreements, bundling, channel and cloud marketplace structures, discounting frameworks, and competitive deal plays. Partners with Product, Sales, Finance, Marketing, Deal Desk, Revenue Operations, and partners to implement scalable commercial programs. Creates pricing enablement materials, makes data-backed recommendations, influences senior stakeholders, and documents decisions in an asynchronous, globally distributed environment.

Conduct manual penetration testing, secure code reviews, and SAST triage across web applications, APIs, and AWS infrastructure. Develop AI-assisted security tooling, define testing approaches for LLM applications and agentic systems, and review AI-generated software before production. Communicate vulnerabilities, risks, and remediation priorities to engineering teams while improving secure SDLC practices.

Build and operate GRC data pipelines, integrations, policy-as-code, continuous control monitoring, evidence automation, and agentic AI workflows. Normalize security data from diverse systems, create auditable evaluation harnesses, govern AI systems, and define technical direction across teams. Partner with security governance, compliance, and engineering groups to transform manual governance processes into scalable products.

Build and maintain full-stack marketplace post-transaction features using React, TypeScript, Node.js, and Go. Design AWS serverless and event-driven services, integrate AWS, Microsoft, and Google marketplaces, manage data synchronization, and develop customer APIs, CRM integrations, notifications, and billing workflows. Own features from design through deployment and operations while collaborating with product and engineering teammates, participating in code reviews, and delivering testable, maintainable production code.

The Full Stack Java Developer collaborates on software development lifecycles, focusing on backend and frontend development, API design, and system integration while ensuring security and performance requirements are met.

Develop and maintain cloud-based business applications and analytics solutions for natural gas pipeline operations. Build AWS and Microsoft Power Platform solutions, write application and data-transformation code, create visualizations, and support the full solution lifecycle from requirements through deployment. Collaborate with business and technical stakeholders, provide citizen-development guidance, apply DevOps practices, and contribute to AI, automation, data engineering, and digital innovation initiatives.

Design and build scalable APIs, cloud-native services, and applications supporting millions of users. Own service reliability, performance, testing, production incident response, and continuous improvement. Collaborate with product and architecture teams, participate in design and code reviews, contribute to technical decisions, and mentor engineers while delivering high-quality software in a fast-paced environment.

Build and maintain scalable, reliable payment systems and APIs using PHP, Laravel, and Go. Own settlement, funding, accounting, reconciliation, and reserve workflows while optimizing SQL and high-volume data processing. Develop event-driven services, CI/CD pipelines, cloud infrastructure, monitoring, dashboards, and BigQuery insights. Mentor junior engineers, collaborate cross-functionally, and uphold high standards for security, correctness, performance, and reliability.

Develop full-stack software, APIs, integrations, and extensions connecting payment platforms with accounting and vertical SaaS systems. Build tested, scalable solutions; collaborate with Product, Design, DevOps, Data, and Risk teams; lead technical projects; create GitLab CI/CD pipelines; deploy and maintain AWS or GCP infrastructure; investigate production issues; optimize SQL queries; and use BigQuery for data insights.

Build and operate Block’s data platform, including warehousing, orchestration, business intelligence, governance, and agentic workflows. Develop reliable Python services, developer tools, and Terraform infrastructure for petabyte-scale data. Partner with data practitioners and product teams, establish engineering standards, provide technical direction, and mentor engineers while ensuring security, reliability, observability, usability, and data governance.

Build and operate a scalable data platform supporting warehousing, orchestration, business intelligence, governance, and agentic workflows. Develop Python services, Terraform infrastructure, and developer tools for petabyte-scale data. Partner with data practitioners and product teams, establish security and reliability patterns, set technical direction, improve engineering standards, and mentor engineers.

Lead and develop a Tooling team focused on developer experience, engineering productivity, CI/CD, deployment automation, observability, release workflows, and internal platforms. Define the tooling strategy and roadmap, partner with Infrastructure, Security, and Product Engineering, improve DORA metrics and operational reliability, and guide adoption of AI-assisted development workflows. The role also includes coaching engineers, leading cross-functional initiatives, and delivering secure, scalable platforms that reduce developer friction.

Leads end-to-end procurement and strategic sourcing for technology goods and services, including hardware, software, SaaS, cloud, telecommunications, cybersecurity, and consulting. Negotiates contracts, manages supplier relationships, analyzes spend and total cost of ownership, tracks savings, and supports risk, compliance, budgeting, and governance activities. Partners with IT, Cybersecurity, Finance, Legal, and business stakeholders to align procurement with technology objectives.

Lead platform engineering strategy across multi-environment and multi-region cloud systems. Architect Kubernetes platforms, infrastructure as code, CI/CD, DevSecOps, observability, and reliable production infrastructure. Lead cloud migrations, modernization, AI/ML platform infrastructure, model serving, GPU orchestration, and LLM platform capabilities. Mentor engineers, establish standards, conduct design reviews, communicate technical decisions, and serve as an escalation point for complex infrastructure challenges.

The Software Engineer will design, develop, and maintain backend APIs, collaborate on B2B solutions, and optimize performance in a dynamic, distributed environment.

Own and deliver high-availability, low-latency backend systems supporting authentication, verification, and fraud journeys across web and mobile. Lead quarterly goals, guide engineers through ambiguous problems, collaborate with product, design, and analytics, resolve technical and business issues, monitor system availability, improve engineering standards, support on-call operations, and develop team talent.

Designs and delivers end-to-end automation solutions for Lilly’s global Finance organization. Responsibilities include assessing opportunities, developing and testing software, creating architecture and test documentation, supporting UAT and integrations, troubleshooting production issues, resolving defects, and assisting with QA, audits, migrations, and risk mitigation. The role uses Python, PySpark, TypeScript, PostgreSQL, AWS, Microsoft Fabric, SAP, and other APIs, while collaborating with finance, technology, analyst, and business teams.

Designs and builds end-to-end automation solutions for Lilly’s global Finance organization. Responsibilities include solution design, programming, architecture documentation, testing, UAT support, validation, defect resolution, risk communication, QA, audits, and platform migrations. The role uses Python, PySpark, TypeScript, PostgreSQL, AWS, Microsoft Fabric, SAP, APIs, and emerging AI technologies while partnering with analysts, business teams, and technology stakeholders.

Designs, develops, and deploys scalable deep learning systems for 3D medical image segmentation, geometric analysis, and physiological prediction. The role involves writing tested Python or C++ code, owning end-to-end ML workflows, applying biomedical data expertise, integrating models into software products, and mentoring junior engineers. Collaboration with scientists, product leaders, and architects is required. Preferred experience includes cloud platforms and MLOps tools such as Docker, Kubernetes, MLflow, and CI/CD.

Design, build, and operate customer-facing AI platform services and agentic workflows primarily in Python. Develop orchestration, tool execution, state management, evaluation, tracing, observability, and quality feedback systems. Integrate AI capabilities with PHP and Java services while optimizing reliability, latency, scalability, cost, and model quality. Collaborate with product, design, data, security, and engineering teams, contributing technical leadership, architecture guidance, code reviews, testing, documentation, and mentorship.