Top Azure Jobs in Calgary

The Guidewire Data Engineer will design schemas in Snowflake, develop ETL processes, optimize SQL queries, and integrate Guidewire with data platforms.

Build and scale core research infrastructure and agentic systems across backend, frontend, and model integrations. Own reliability, observability, and performance; ship research-proven features to production rapidly and develop shared tools and SDKs to accelerate Research, QA, and Engineering.

Lead strategy, design, and execution of platform integrations connecting Sully.ai's AI clinicians to EHRs and partner APIs. Build and scale the integrations team, ensure HIPAA-compliant, secure, and reliable connectors, ship SDKs and CI/CD/observability standards, and deliver production EHR connectors while partnering with Product, Clinical, Security, and Customer Success.

Lead enterprise AI strategy and roadmap; build and scale cross-functional AI/ML teams; architect and deliver LLM, RAG, predictive and data-heavy AI products; establish MLOps, governance, cloud-native platforms (Azure/Databricks/AWS/GCP); drive product lifecycle, KPI tracking, security, and responsible AI practices.

Lead the design and development of scalable backend systems and APIs for intelligent applications while guiding teams and ensuring clean architecture.

Develop and test smart contracts on Ethereum, design scalable services, own implementations, improve code quality, and manage cloud servers.

Seeking a Data Engineer to design and maintain ETL pipelines, data models, and infrastructure for analytics, working with enterprise clients.

The Network Specialist is responsible for designing, installing, and maintaining network systems. Duties include ensuring network security, performance, and compliance, as well as providing technical support and managing system upgrades.

Senior technical leader responsible for designing, building, and operating scalable full-stack payroll systems. Lead architecture, microservices, cloud infrastructure, CI/CD, reliability, monitoring, and incident response. Mentor engineers, collaborate with product and DevOps, and research AI-driven tooling to boost team productivity.

Develop and maintain full-stack payroll features end-to-end, fix bugs and reduce tech debt, participate in code reviews, collaborate across engineering, and use AI tools to accelerate development and quality.

Design and deliver scalable full‑stack features, own cloud infrastructure using IaC, ensure service reliability and performance, shape component architecture, and mentor engineering teammates.

As the first engineering hire, you will build the core intelligence engine for factories, handling full-stack development and influencing product decisions.

Serve as a senior technical leader for strategic customers, driving container and AI adoption across pre- and post-sales. Lead prototyping, create custom demos/content, coordinate field feedback with product and engineering, deliver enablement to technical and executive audiences, and represent Docker in customer and partner engagements (up to 50% travel).

Partner with Account Executives to drive new commercial deals by leading technical discovery, solution architecture, demos, and POCs. Serve as trusted advisor across stakeholders, co-own pipeline and quota outcomes, produce enablement assets, and provide product and GTM feedback. Focus on networking, zero-trust, IAM, PAM, and cloud architecture.

Build full-stack marketplace features and ML Ops infrastructure for search, ranking, and renter-facing products. Develop model deployment pipelines, feature stores, real-time data pipelines, and monitoring using Chalk and Vertex AI. Collaborate with data scientists to productionize models, improve system performance and reliability, write tested code, participate in reviews, plan technical work, and communicate effectively across distributed teams.

Build full-stack marketplace features for search, ranking, and renter-facing products while supporting ML Ops infrastructure. Develop model deployment pipelines, feature stores, real-time data pipelines, monitoring, and production integrations with data scientists. Write tested code, review contributions, plan technical work, and improve system performance, reliability, and scalability. Collaborate with product and globally distributed engineering teams.

Coordinate Sales, Finance, and Legal approvals; resolve Salesforce queues and case-management issues; create private offers in AWS, Azure, and GCP marketplaces; audit SaaS contract documentation; and monitor the sales pipeline to remove bottlenecks and accelerate deal completion.

Lead enterprise Magento Commerce implementations, migrations, upgrades, integrations, performance optimization, scalability improvements, troubleshooting, and custom module development. Build APIs and microservices connecting Magento with ERP, OMS, WMS, CMS, and third-party systems. Support headless commerce architectures using React, Next.js, or Vue.js, while collaborating directly with clients and cross-functional teams.

The Lead Engineer for BI will design data solutions, lead project teams, mentor, and drive BI strategy aligning with business needs.

Lead and manage global software engineering teams to drive technical initiatives, ensuring high-quality delivery of scalable products while fostering a culture of innovation and accountability.

The Principal Consultant will architect, deploy, and optimize Microsoft security and endpoint management solutions, focusing on IAM, Azure, and Defender for clients. Responsibilities include presales support, security design, mentoring, and ensuring operational excellence.

The Account Executive sells cloud data security solutions, manages the sales cycle, creates business strategies, and builds relationships with executives and partners.

The Principal Solutions Architect engages with research labs, leads Proof of Concepts, conducts demos, addresses technical challenges, and drives customer success.

As a Senior Backend Developer at Awarri, you'll build and maintain backend systems for AI platforms, focusing on scalable architectures, data integration, and real-time communication.

The Senior AI/ML Engineer will design, develop, and deploy language models for African languages, focusing on NLP applications and cultural context.