Top AWS Jobs in Calgary

Build and maintain scalable web applications and backend services using React, TypeScript, Next.js and Node.js. Design APIs (REST, gRPC, GraphQL), work with PostgreSQL and cloud infrastructure, improve CI/CD and developer tooling, contribute to architecture, mentor engineers, and deliver AI-powered features and CRM workflows.

Owner of cloud infrastructure and reliability for a distributed microservices platform: design and maintain Azure infrastructure with Terraform, manage Kubernetes/Helm deployments, build CI/CD pipelines and observability, operate PostgreSQL at scale, lead incident response and postmortems, and support migration from legacy .NET/MSSQL to a cloud-native stack.

Lead enterprise application and CX modernization by defining API-first, microservices, and event-driven architectures. Drive migration roadmaps, dismantle legacy systems, mentor engineering teams, set governance standards, and support integrations between legacy ESBs and modern platforms. Engage stakeholders and deliver cloud-native, customer-facing solutions.

Build, automate, and support cloud infrastructure and CI/CD pipelines. Automate deployments and operational workflows, manage IaC, troubleshoot environments, improve developer tooling, monitor system health, and document processes.

Drive technology strategy and architecture across the product portfolio, delivering scalable, secure cloud-native SaaS and endpoint solutions. Champion AI-driven approaches, lead design reviews and PoCs, provide technical leadership, collaborate with product and business stakeholders, and support production systems including on-call troubleshooting and root cause analysis.

Design and build AI-powered internal accounting tools and integrations. Own architecture, security, and code quality; translate accounting processes into production-grade backend systems; collaborate with product and accounting staff; document systems and scale tools responsibly.

Design and build scalable .NET backend services and gRPC microservices; optimize data layers (SQL Server, MongoDB, Elasticsearch); implement cloud integrations on AWS and Azure; ship AI/ML features (LLMs, RAG, vector search, ranking, personalization) and operate MCP servers; contribute to CI/CD, observability, containerization, and production ML integrations impacting high-traffic consumer marketplaces.

The Full Stack Engineer will develop and maintain scalable web applications, design system architecture, optimize performance, and collaborate with teams for code reviews in a hybrid work environment.

As Principal Engineer, you will lead the development of the BrandVNO platform, enhancing SDK for innovative telecom solutions and ensuring system scalability.

Lead the design and development of a data platform, integrating data sources, driving architecture migration, and ensuring robust data governance and API development.

Seeking a Senior Software Engineer to design and build a microservices-based SaaS platform, focusing on Java and AWS technologies while ensuring robust deployment and customer satisfaction.

The Demo Engineer maintains and upgrades demo environments, troubleshoots issues, collaborates with the team on Proof of Concepts, and manages data sets for sales demos.

Own and patch Chromium/Firefox C++ source to build an in-house stealth browser. Fix fingerprinting at the engine level (navigator, WebGL, canvas, fonts, Client Hints), eliminate CDP leaks, maintain per-OS fingerprint profiles, continuously rebase patches, build validation tooling, and debug detection issues to keep automation indistinguishable from real users.

As a Principal AI/ML Architect, you will lead ML assessments, provide architectural guidance, and advise on ML operations across diverse client engagements, ensuring technical quality and building customer confidence through high-quality proof of concepts.

Lead the Lifecycle Management team, ensuring high-quality delivery while managing customer escalations and technical decisions with a focus on AI adoption and team development.

Lead and mentor a team of software engineers focused on Billing and Payments. Own technical roadmap, ensure compliance and manage system reliability while collaborating with Product and Finance teams.

The Senior Data Engineer will scale and evolve the data platform, develop ETL/ELT pipelines, establish best practices, and optimize systems for performance while collaborating with various teams.

Lead a software engineering team to build scalable, cloud-native applications while mentoring engineers and integrating AI solutions. Drive technical strategy, architecture, and best practices in DevOps and cloud systems.

As a Software Engineer, AI/ML GenAI, you will design and implement AI features, manage embeddings, and optimize AI systems for production deployment while collaborating with product and design teams.

Lead Intelex's AWS-first cloud architecture vision, designing secure, highly available, and cost-efficient infrastructure. Enable AI and data platforms, define IaC standards (Terraform), CI/CD (GitHub Actions, Octopus), observability, and security/governance. Partner with Engineering, InfoSec, and Data teams to drive migrations, reliability, and compliance for SaaS and AI workloads.

Senior Windows-focused Platform Engineer responsible for administering Windows server environments, supporting IBM FileNet/DataCap/BAW/ICN applications, ensuring security and performance, implementing monitoring, troubleshooting production issues, documenting systems, and collaborating with internal teams and clients to improve platform stability and processes.

As a Sr. Software Engineer, you'll design and develop features for a SaaS platform, collaborate with teams, tackle technical problems, and ensure high-quality solutions with an ownership mindset.

Hands-on Engineering Manager to write production backend code, drive API and architecture decisions, own CI/CD and reliability, mentor and grow engineers, run team ceremonies, manage delivery and incidents, and participate in hiring.

The GPU Cloud Platform Engineer designs and operates multi-cluster GPU infrastructures for AI workloads, ensuring performance and efficiency across cloud environments.

Design, build, test, and maintain enterprise C#/.NET applications within agile teams. Develop scalable REST APIs and data models, write automated unit tests, enforce SOLID/OOP practices, mentor engineers, participate in planning/code reviews, and communicate with clients to deliver high-quality solutions.