Top Azure Jobs in Calgary

Build scalable full-stack web applications, APIs, and services supporting relationship, deal, and workflow management. Design systems using React, TypeScript, Next.js, and Node.js; contribute to architecture, cloud infrastructure, CI/CD, and developer tooling; and partner with product and design teams. The role includes modernizing legacy applications, developing AI-powered features, translating operational needs into technical solutions, and mentoring early-career engineers.

Build scalable full-stack web applications, APIs, and foundational internal platforms for entertainment-industry workflows. Responsibilities include frontend and backend development with React, TypeScript, Next.js, and Node.js; architectural contributions; cloud infrastructure and CI/CD improvements; legacy application modernization; AI-powered feature development; and collaboration with product and design teams. The role also mentors junior engineers and helps establish engineering practices in a growing organization.

Own end-to-end AI workflows, designing and operating agentic and LLM-based systems in production. Build reliable pipelines with structured outputs, validation, fallbacks, evaluations, observability, and audit trails. Integrate AI services with backend systems while managing cost, latency, data isolation, and regulated-finance requirements. Establish engineering patterns, review system designs, and mentor teams on effective use of coding agents and AI tools.

Develop and deliver features for large-scale web applications using full-stack technologies across React, TypeScript, Node.js, Microsoft, and cloud stacks. Collaborate in agile Scrum or Kanban teams with architects, QA, product management, and stakeholders. Contribute to CI/CD, DevOps, troubleshooting, performance, security, and continuous improvement while building high-quality software solutions.

Leads the design and development of a highly distributed edge computing platform using Go, Kubernetes, microservices, and cloud technologies. Responsibilities include building scalable and fault-tolerant systems, designing APIs, conducting code reviews, troubleshooting complex distributed software issues, optimizing performance and security, collaborating cross-functionally, mentoring engineers, planning projects, and maintaining technical documentation.

Develop and support a cloud-native workload credentials management solution within a SaaS platform. Responsibilities include designing scalable full-stack services, orchestration, APIs, distributed systems, and microservices; providing technical leadership; leading projects through delivery; collaborating cross-functionally; mentoring engineers; and applying engineering best practices. The role requires extensive Go development, cloud and SaaS expertise, modern JavaScript frameworks, and experience operating enterprise systems at scale.

Leads a cloud platform engineering team responsible for cloud architecture, standards, automation, security, reliability, availability, and performance. Partners with architecture, risk, security, and application teams to deliver resilient cloud services and platform capabilities. Oversees cloud infrastructure enhancements, controls, observability, and operational excellence while managing staff development, hiring, performance, and technical strategy.

Owns and improves the end-to-end software release system across engineering. Responsibilities include managing release calendars, branching strategies, code freezes, readiness checkpoints, deployment coordination, risks, dependencies, stakeholder communications, release governance, and post-release follow-up. The role partners with DevOps and engineering teams to improve CI/CD pipelines, build stability, deployment reliability, automation, and release cadence in a cloud-based SaaS environment.

Owns end-to-end response to high-impact incidents in a 24/7 SaaS production environment. Coordinates technical teams during live incident bridges, removes blockers, manages escalations, communicates business impact, and ensures safe mitigations. Leads post-incident reviews, tracks metrics, improves runbooks and processes, and supports change and problem management. The role requires ITSM expertise, cloud and DevOps knowledge, AI-tool proficiency, strong communication, and calm decision-making under pressure.

Lead development of a massively distributed edge compute platform. Design fault-tolerant systems, external APIs, high-throughput traffic routing, and Kubernetes-based resource management. Establish architecture standards, reliability metrics, security practices, and technical governance. Collaborate with AI/ML, hardware, networking, and security teams; communicate risks to executives; manage customer requirements; review code; and mentor engineers on distributed systems best practices.

Design, develop, test, and maintain scalable platform software and services. Collaborate with architecture and cross-functional teams, implement platform features, participate in code reviews, document technical specifications, troubleshoot issues, and optimize performance and scalability. The role requires Go development, scripting, Kubernetes, cloud-native technologies, containerization, cloud networking, and CI/CD experience.

Supports customers with database integration issues while developing and debugging Airbyte’s Java and Kotlin database connectors. Investigates replication, CDC, query performance, authentication, networking, schema evolution, and sync-state problems across databases, warehouses, and data lakes. Reproduces bugs, contributes to open-source code, collaborates with Engineering and Product, supports enterprise onboarding, mentors technical support staff, and creates troubleshooting documentation and automation playbooks.

Own and scale a multi-cloud data platform across AWS and Azure. Manage Apache Airflow, Kubernetes, Terraform, Helm, ArgoCD, CI/CD, observability, big data infrastructure, governance tooling, and FinOps initiatives. Provide end-to-end architectural and operational ownership, improve developer tooling, define platform roadmaps, manage incidents, enforce engineering standards, and mentor data platform engineers.

Design, develop, and maintain scalable RESTful APIs and core business systems. Reduce technical debt, optimize architecture, participate in code reviews, promote engineering best practices, and deliver small features through the full development lifecycle. Collaborate within an agile engineering team while troubleshooting problems and improving system stability and performance.

Build and maintain cloud infrastructure, APIs, data and inference pipelines, databases, CI/CD systems, monitoring, and Kubernetes deployments for machine learning products. Develop Python backend applications, integrate model registries and MLOps frameworks, monitor model drift and vulnerabilities, optimize Google Cloud infrastructure, and support testing, documentation, code reviews, and AI platform roadmap planning.

Designs and improves cloud-native build and delivery infrastructure, including CI/CD pipelines, automation, Kubernetes platforms, and infrastructure tooling. The role enables development teams, implements product features, contributes to architectural standards and platform roadmaps, resolves delivery issues, and reports on initiative progress. Required experience includes software architecture, Kubernetes, CI/CD, Azure, AWS, Linux/Unix, shell scripting, design patterns, and Agile/Scrum. Terraform, Ansible, IaaS/PaaS, healthcare IT, and full-stack experience are preferred.

Conçoit et améliore des plateformes de développement et de livraison logicielle, notamment les pipelines CI/CD, l’automatisation d’infrastructure et l’orchestration Kubernetes. Collabore avec les équipes de développement et les architectes principaux pour assurer la fiabilité, la sécurité, la conformité et la performance des solutions. Participe aux décisions architecturales, à la planification des livrables et à l’adoption des pratiques cloud-native dans un environnement de soins de santé réglementé.

Leads the design, development, maintenance, and technical direction of a scalable insurance SaaS platform. Works across .NET back-end and Vue/React front-end technologies, optimizes performance, enforces coding and security standards, leads code reviews, resolves bugs, and mentors developers. Collaborates with product, design, and engineering teams on architecture, requirements, testing, cloud infrastructure, microservices, and continuous platform improvement.

Provides technical leadership for cloud platform engineering, including cloud architecture, infrastructure automation, CI/CD, security, reliability, self-service delivery, and developer enablement. The role leads design and code reviews, mentors engineers, improves cloud services and delivery processes, and guides implementation across teams using public cloud platforms, Terraform, Kubernetes, and modern DevOps tooling.

Designs, implements, and supports Saviynt identity governance solutions, including lifecycle management, access requests, certifications, provisioning, workflows, and segregation-of-duties policies. Provides L2/L3 IAM support, troubleshoots access issues, integrates applications and cloud platforms, and collaborates with Security, HR, IT, and application teams. The role also develops automation, maintains technical documentation, and improves governance, compliance, and operational efficiency across the global enterprise.

Leads security engineering strategy and remains hands-on designing, coding, and scaling enterprise security capabilities. Builds automation, platforms, APIs, and reusable frameworks; guides cloud, infrastructure, identity, application, endpoint, and AI security. Establishes architectures, standards, and guardrails, influences executives and engineering teams, evaluates technology risks, mentors senior technical staff, and advances secure adoption of emerging technologies across cloud-native and SaaS environments.

Design, build, and operate highly available Azure and AKS infrastructure using Terraform. Develop secure CI/CD pipelines, manage Kubernetes clusters, implement monitoring and observability, troubleshoot complex infrastructure issues, and maintain multi-region disaster recovery. The role also involves cloud security, secrets management, networking, database resilience, infrastructure automation, and collaboration with application engineering teams to establish operational standards.

Design, deploy, and maintain HPC and MLOps infrastructure across cloud and on-prem clusters. Manage schedulers (Slurm/PBS), optimize MPI/CUDA stacks, storage and networking, automate deployments with Python/Bash, instrument systems, and enable AI training/inference pipelines while collaborating with product and support teams.

Build production AI harness systems for Kinaxis’s Databricks-based enterprise Data Fabric. Responsibilities include developing agent execution frameworks, integrating LLMs with governed data, implementing tool calling and workflow controls, enforcing multi-tenant isolation, and delivering APIs, SDKs, libraries, templates, and operational runbooks. The role requires distributed-systems engineering, cloud data-platform experience, secure multi-tenant design, and practical expertise in agent orchestration, retrieval, evaluation, guardrails, metadata, lineage, and governance.

Operate and evolve an OpenStack-based private cloud and Ceph storage, troubleshoot full-stack issues, handle feature requests and support tickets, build automation and tooling, document runbooks, integrate storage with Kubernetes, and participate in on-call rotations to maintain platform reliability.