Top Azure Jobs in Calgary

Build and operate high-throughput backend services for AI agent orchestration, calendar systems, real-time infrastructure, APIs, and data pipelines. Design scalable platform services, infrastructure as code, and highly available production systems using Go, PostgreSQL, Kubernetes, and cloud platforms. Collaborate with AI, product, and frontend teams to deliver AI-powered features, contribute to reliability and testing practices, and mentor junior engineers.

As a Senior Solutions Engineer, you'll engage with enterprise customers, addressing technical sales, creating presentations, conducting demos, and leading proof of concepts for Cloudflare solutions.

Leads Affirm’s third-party security risk management program, including international market due diligence, M&A security assessments, post-acquisition vendor integration, control evaluations, threat modeling, and remediation tracking. Designs automated workflows and integrations across GRC, ticketing, cloud, and identity systems using Python and agentic coding tools. Establishes processes, metrics, dashboards, and reporting while advising Legal, Procurement, Engineering, Finance, Compliance, Privacy, and leadership on security risks and decisions.

Designs, operates, and improves production Kubernetes platforms across cloud environments. Manages ArgoCD GitOps workflows, Terraform infrastructure, CI/CD integrations, platform reliability, observability, security controls, and developer enablement. Collaborates with application teams to onboard services, create self-service tooling and documentation, respond to incidents, and improve platform availability and performance.

Lead the design and implementation of deterministic and agentic security automation systems for Falcon Complete MDR. Build scalable services, data pipelines, integrations, and workflows that accelerate threat detection, investigation, triage, and response. Collaborate with analysts and engineering stakeholders, improve reliability and monitoring, participate in on-call rotations, mentor engineers, review designs and code, and establish technical standards for AI-powered security operations.

Lead complex backend engineering projects from design through launch, solve architecture and high-risk technical problems, conduct code reviews, develop scalable microservices and distributed systems, mentor engineers, and collaborate across teams. The role requires strong experience with backend applications, prominent programming languages, public cloud platforms, databases, software architecture, agile development, and performance trade-offs. Candidates must be located in Canada within the PST or MT time zones.

Build and ship scalable backend features and services in a distributed environment. Responsibilities include developing RESTful microservices, reviewing code, monitoring service performance, improving reliability and security, participating in Agile development, and mentoring teammates. The role requires proficiency in a modern object-oriented language, database experience, cloud knowledge, and familiarity with scalable architecture patterns.

Lead incident response engagements, investigate intrusions and advanced threats, conduct host and network forensics, perform malware analysis, develop remediation plans, and communicate findings to customers, regulators, legal counsel, and executives. The role also involves threat hunting, team leadership, public thought leadership, and occasional travel.

Own the technical strategy for GitLab’s strategic technology partnerships, translating partner roadmaps into integrations, architecture, and product opportunities. Evaluate AI models and agents, build prototypes, facilitate technical workshops, develop business cases, and influence product roadmaps. Coordinate Engineering, Product, Finance, FinOps, Sales, Marketing, R&D, and partner teams through delivery while tracking cloud, AI, and DevSecOps developments. The role is remote and requires quarterly travel with EMEA-overlapping hours.

Designs, builds, and optimizes production-grade data pipelines using Azure, Databricks, Delta Lake, and Apache Spark. Develops ETL and data integration solutions, automates ingestion and validation, and ensures pipeline reliability, security, and compliance. Leads client data engineering engagements, translates business requirements into scalable architectures, collaborates with stakeholders, mentors junior engineers, and supports analytics and machine learning initiatives.

Leads Azure cloud and AI solution sales for mid-market oil and gas customers. Manages customer engagements, pipeline, forecasts, territory plans, proofs of concept, business cases, and revenue conversion. Partners with account executives, solution architects, engineers, consultants, and technology partners to design, validate, and deploy solutions. Advises decision-makers on infrastructure modernization, data platforms, cloud-native technologies, virtualization, and AI while driving Azure consumption and exceeding revenue targets.

Perform functional, regression, integration, and end-to-end testing for banking applications. Design and maintain automated tests across web, API, and data platforms, integrate test suites into CI/CD pipelines, monitor quality with Datadog and Grafana, document defects, and validate Snowflake data pipelines and Airflow workflows.

Own the distributed execution layer and delivery platform for geoscience software across workstations, HPC schedulers, managed services, and major clouds. Build orchestration, scaling, retries, monitoring, metering, infrastructure as code, secure deployments, containers, CI/CD, installers, and release pipelines. Optimize compute and object-storage performance, support restricted environments, and establish operational observability. The role requires strong Python, modern C++, distributed computing, cloud, Terraform, Kubernetes, security, and production support experience.

Designs and demonstrates secure, scalable Azure database and analytics solutions for enterprise customers. Leads technical sales engagements, proofs of concept, hackathons, architecture workshops, migrations, and production deployments. Advises platform leaders, resolves technical blockers, collaborates with engineering, and develops expertise across Microsoft Fabric, Azure Databases, Databricks, Purview, on-premises data warehouses, Hadoop, and competing analytics platforms.

Leads customer AI transformation initiatives using Microsoft 365 Copilot, Copilot Studio, Work IQ, and AI agents. Advises executives, translates business needs into secure and governed technical solutions, drives adoption and measurable value, supports technical presales and expansion, and leads virtual teams across Microsoft, partners, and customers. Develops adoption strategies, readiness programs, governance practices, prototypes, and reusable solution frameworks while mentoring technical teams.

Lead enterprise application observability using Dynatrace across hybrid environments. Responsibilities include platform architecture and administration, application onboarding, alerting and incident integrations, observability-as-code, SLI/SLO definition, performance analysis, root-cause investigation, automation, governance, mentoring, and roadmap development. The role partners with application, infrastructure, cybersecurity, ITSM, and vendor teams to improve reliability, reduce alert noise and MTTR, and expand monitoring coverage.

Provide L2 support for store applications, troubleshoot incidents, monitor performance, coordinate vendors, and manage incident and problem resolution. Perform root cause analysis, track SLAs and KPIs, communicate with stakeholders, maintain support documentation, and contribute to monitoring, SRE, and continuous improvement initiatives. The role may include after-hours on-call support.

Provides second-level support for store applications, troubleshooting incidents, monitoring performance, and maintaining support documentation. Coordinates vendors against SLAs, manages incident and problem resolution, performs root cause analysis, and reports operational metrics. The role collaborates with technical teams, Product Owners, and business stakeholders, supports continuous improvement, and may participate in after-hours on-call coverage.

Owns the technical health and adoption of enterprise Splunk customers. Responsibilities include developing and executing technical adoption plans, advising on platform optimization, coordinating critical issue resolution, recommending upgrades and services, analyzing usage and cloud overages, mentoring customers, and participating in virtual QBRs. The role requires strong technical communication, customer relationship management, and familiarity with Splunk Cloud and Enterprise deployments.

Leads technical pre-sales engagements for Microsoft Dynamics 365 CRM and AI solutions. Owns technical win strategies, conducts executive workshops and demonstrations, leads proofs of concept, develops migration and technical close plans, addresses compliance and security concerns, and supports competitive displacement. Collaborates with account teams, systems integrators, partners, engineering, and customer success teams to accelerate enterprise sales, adoption, and deployment outcomes.

Leads De Havilland Canada's cybersecurity program across enterprise IT and operational technology. Responsibilities include developing security strategy, architecture, governance, risk management, incident response, vulnerability management, identity and endpoint security, OT protection, audit support, third-party assessments, resilience testing, and security technology optimization. The role provides technical direction, mentorship, vendor coordination, and functional leadership while partnering with IT, engineering, operations, and business stakeholders.

Develop and maintain scalable full-stack software for an enterprise governance platform. Responsibilities include architecture, system design, AI-assisted development, performance optimization, security, testing, code reviews, technical problem-solving, process improvement, evaluation of LLM and automated-testing technologies, and mentoring engineers. The role requires production AI experience, MEAN stack expertise, cloud infrastructure knowledge, and collaboration with product and design teams.

Develop, test, deploy, and maintain scalable full-stack software for an enterprise governance platform. Contribute to system architecture, application performance, security, reliability, code reviews, automated testing, and development process improvements. Build production AI features such as LLM integrations, RAG, vector search, and AI agents. Collaborate with product, design, and engineering teams while mentoring peers on TypeScript, AI-assisted development, and modern engineering practices.

Lead complex enterprise customer engagements involving secure, resilient, AI-enabled Azure solutions. Advise executives and technical leaders, improve solution health, performance, and availability, resolve critical incidents, and drive cloud adoption and business value. Deliver proactive assessments, workshops, guidance, and support while collaborating with account, engineering, and support teams. Influence product roadmaps, identify growth opportunities, mentor technical talent, lead projects, and contribute to customer success strategies and on-call support.

Owns a portfolio of 10–20 mid-sized Canadian enterprise accounts, managing the full B2B sales cycle from prospecting and discovery through contract close and consumption growth. The role requires building pipeline, expanding workloads, developing ROI cases, selling to technical and executive stakeholders, coordinating with Solutions Architects and partners, forecasting in Salesforce, and driving Databricks implementations from proof of concept to production.