Top AWS Jobs in Calgary

Design, implement, and govern enterprise network solutions across LAN/WAN/SD-WAN/wireless/data center/cloud. Provide technical leadership for delivery teams, lead architecture reviews, support client consulting and pre-sales, drive modernization (SD-WAN, cloud networking, Zero Trust), optimize operations, ensure security/compliance, and mentor network engineers.

As a Staff Software Engineer, you'll lead software infrastructure development, drive AI innovation, mentor engineers, and collaborate across teams to build advanced applications.

Lead product strategy and execution for Redis Cloud across enterprise, digital-native, and AI customers. Define requirements, manage product lifecycle, work with customers and cross-functional teams, and drive launches, adoption, and technical decisions related to cloud infrastructure, data platforms, and AI workloads.

The Platform Software Developer designs and maintains software for cardiac imaging products, focusing on AI capabilities, platform integration, and secure solutions while collaborating with cross-functional teams.

The role involves architecting scalable backend systems and data pipelines, providing technical leadership, and ensuring best practices in software development.

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 own adaptive phishing simulations and real-time behavioral ingestion systems using LLMs. Design interfaces for security teams, ship full‑stack, scalable code, work with early customers, and make foundational architectural decisions.

Lead design and implementation of test automation frameworks, architect AI-driven and self-healing testing ecosystems, build automation for web SaaS services, mentor SDETs, prototype agentic tooling, and collaborate across platform and product teams to improve reliability, scalability, and delivery velocity.

The Software Engineer will design and implement systems across the stack, focusing on AI-native engineering principles, distributed systems, and high-performance data processing.

As a Full Stack Engineer, you will develop frontend and backend features, write robust code, and collaborate with team members to meet project requirements.

Own and ship end-to-end full-stack features for a high-scale, AI-native publishing marketplace. Design APIs, optimize queries, deploy cloud-native apps, build LLM-powered capabilities, ensure security and privacy compliance, mentor engineers, influence architecture, and maintain reliability and performance under load.

Design and advance core infrastructure for engineering, ensure Kubernetes reliability, automate operations, and support AI infrastructure.

The Senior Software Engineer will lead architectural design, develop APIs, mentor junior developers, improve CI/CD processes, and drive performance enhancements for mission-critical training applications.

As a Forward Deployed Engineer, you will deploy and support software in secure client environments, troubleshoot complex issues, and ensure effective integration with existing systems. Responsibilities include installation, configuration, client engagement, and refining delivery practices.

As a Backend Engineer at Trust Wallet, you'll develop backend features for multiple platforms, maintain infrastructure, ensure system monitoring, and foster team growth.

The Sr. Software Engineer II will design, develop and maintain distributed systems, ensuring scalability, reliability, and performance while leading and mentoring team members.

Lead and architect scalable, high-performance Angular front-end applications. Collaborate with Product, Design, Backend, and QA in Agile teams. Write and review code, optimize UI performance, mentor junior engineers, and align implementations with technical strategy while integrating with backend services and modern CI/CD and cloud-native tooling.

Lead front-end development using Angular to design, build, and maintain scalable, resilient, and interactive web applications. Provide hands-on coding, code review, UI/UX best practices, collaborate with stakeholders and cross-asset UI teams, follow agile practices, and drive improvements and standards across front-end projects.

Lead development of secure, scalable full-stack banking applications. Design RESTful APIs and microservices with Java/Spring/Hibernate, build Angular front-ends, integrate SQL and NoSQL databases, enforce security/compliance, implement CI/CD, optimize performance, conduct unit testing and production troubleshooting, and collaborate with product, UX, and business stakeholders in an Agile environment.

Lead and grow a platform engineering team focused on Infrastructure, SRE, and DevOps. Set technical direction, deliver platform roadmaps, oversee cloud infrastructure and deployment pipelines, build AI-powered internal tools, improve developer experience, own incident management and on-call sustainability, and collaborate with product, security, and compliance to ensure secure, scalable, observable systems.

Build and maintain platform services for user lifecycle and HRIS integrations that process millions of records. Design, implement, and operate scalable, reliable microservices, APIs, and event-driven systems using cloud and container technologies. Contribute to design and code reviews, troubleshooting, migration from monoliths, estimation, and mentoring junior engineers.

Lead design, build, and maintenance of User Domain and HRIS integration services handling millions of user records. Architect scalable, secure microservices, mentor engineers, own features end-to-end, collaborate cross-functionally, and improve performance, reliability, and tooling.

As a Machine Learning Ops Engineer, you'll develop robust code, build and maintain MLOps infrastructure, QA systems, and mentor junior engineers to enhance AI model performance for mining clients.

As a Forward Deployed ML Engineer, you will apply machine learning to mining operations, develop neural network architectures, and communicate findings to non-technical stakeholders while working independently.

The Full Stack Engineer will develop and enhance a web-based dashboard platform, focusing on both frontend and backend systems, ensuring seamless data flow to AI models and clients. Responsibilities include creating user interfaces, RESTful APIs, secure data storage, and collaborating with teams on feature development.