Top Azure Jobs in Calgary

The Machine Learning Engineer will design, develop, and deploy ML pipelines, optimize models, collaborate on data workflows, and implement MLOps best practices in a fintech environment.

As a Sales Development Representative, you will engage with decision-makers in law firms to generate pipeline opportunities through research and outreach.

The Forward Deployed Engineer will collaborate with customers to design and deploy AI solutions, enhance workflows, and improve healthcare operations through software engineering and cloud infrastructure.

The Product Owner will lead the transformation of a custom Order Management System, managing the product backlog and driving execution across PODs for B2C and B2B commerce.

Lead and mentor development teams, liaise with clients to translate requirements, own technical delivery and architecture, ensure best practices in DevOps, CI/CD, testing, observability, and cloud operations, and resolve blockers to deliver secure, scalable applications.

Design and implement high-performance, low-latency software systems, lead technical architecture discussions, and mentor team members while integrating AI technologies and ensuring scalable backend infrastructure.

The Technical Product Manager will collaborate with partners, define project scopes, lead agile meetings, ensure clear communication between teams, and conduct quality assurance throughout the software development lifecycle.

As a Forward Deployed Engineer, you'll collaborate with customers to build tailored solutions, integrate telemetry, and enhance Origin's endpoint security platform. Responsibilities include developing custom analytics, managing deployments, and translating customer feedback into product improvements.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

The Ubuntu Pro Sales Engineer drives adoption of Ubuntu Pro, advises customers, delivers presentations, and collaborates with sales teams to meet targets in a global setting.

As an Engineering Manager, you'll lead a remote team, manage MLOps projects, ensure high performance, and mentor engineers while driving product strategies.

The Head of AI will define and execute an AI roadmap, lead research initiatives, mentor the AI team, and collaborate with senior leadership to enhance health technology.

Provide expert MongoDB technical support, troubleshoot complex deployments, administer Linux systems, advise on schema/design, performance tuning, backups, monitoring, and collaborate on support content and product strategy while occasionally traveling for team or customer meetings.

As a PostgreSQL Database Support Engineer, you'll assist DBA teams with troubleshooting, create knowledge base articles, and author community blogs while focusing on performance tuning and high availability solutions.

Lead architecture and evolution of scalable, fault-tolerant backend systems powering real-time AI agents and conversation intelligence. Design data storage and retrieval, partner with ML engineers to operationalize AI, drive production performance, cost efficiency, observability, and mentor senior engineers while owning production reliability.

As a Senior Robotics Software Engineer, you will maintain and improve the Tally software stack, develop new software packages, enhance autonomy and navigation, and assist in DevOps and CI/CD processes.

As a Software Engineer, you will develop and maintain the Tally software stack, enhance robot navigation and autonomy, and support CI/CD processes.

The Linux Systems Specialist will solve technical problems, maintain client relationships, and manage Linux systems, cloud services, and networking tasks while ensuring service quality and improving processes.

Manage and maintain on-premises and cloud network, server, and Microsoft 365 infrastructure. Install/configure hardware and network devices, monitor performance, administer AD/Entra ID, Exchange Online, Teams, Intune, backups, and cloud services. Coordinate vendors, follow change management, maintain documentation, support migrations and acquisition integrations, and provide after-hours on-call support.

Leads the Solutions Architecture function across direct sales, cloud, partner, and solution-provider channels. Hires, coaches, and develops SAs; owns technical coverage, deal velocity, PoC win rates, technical qualification, escalations, playbooks, and pre-sale to post-sale handoffs. Partners with Sales, Partnerships, Engineering, Product, TAM, and Customer Engineering while contributing to strategic evaluations and team-wide ARR bookings.

Architect, build, and operate Redpanda’s Agentic Data Plane and cloud services across AWS, GCP, and Azure. Lead large technical projects, define architecture, develop automated provisioning and self-healing systems, and ensure reliability, scalability, security, observability, and zero-downtime upgrades. Participate in on-call operations, mitigate technical risks, and collaborate across engineering, product, and customer-facing teams.

Owns full-stack engineering, cloud infrastructure, reliability, cost governance, legacy-to-cloud migration, and AI-assisted development for a multi-tenant ERP platform. Leads engineering, QA, contractors, release governance, customer go-lives, vendor evaluation, and executive reporting. The role requires deep TypeScript/Node and React expertise, financial-system correctness, Azure or AWS architecture, ETL and data reconciliation, CI/CD, incident response, SaaS security, and pragmatic maintenance of Java/Spring and VB6 legacy systems.

Deploys, integrates, supports, and optimizes video delivery solutions in customer broadcast and streaming environments. Responsibilities include installation, configuration, troubleshooting, log and performance analysis, customer training, deployment documentation, automation scripting, and collaboration with R&D, Sales, and Product Management. The role requires Linux, networking, video compression, and streaming protocol expertise, participation in a 24/7 on-call rotation, and on-site work in Toronto three days weekly.

Build and deploy AI-powered automations across the business. Partner with teams to identify opportunities, redesign processes, integrate systems through APIs, and launch scalable workflows using LLMs, agents, and automation platforms. Document solutions, establish safeguards, enable adoption, and measure efficiency gains. The role requires strong ownership, responsible AI practices, business understanding, and hands-on experience with AI development, APIs, Python or similar languages, SQL, databases, and modern deployment tools.

Lead technical engagements with high-priority enterprise customers, supporting container and AI journeys, developer workflows, solution demonstrations, prototyping, enablement, and product alignment. Partner with sales, product, engineering, and customer teams to translate business needs into technical solutions and prioritized product feedback. Serve as a regional technical thought leader and represent Docker with customers and technical alliance partners. Travel domestically and internationally up to 50%.