Top Azure Jobs in Calgary

Designs and optimizes scalable cloud infrastructure, CI/CD pipelines, and infrastructure-as-code systems. Automates provisioning, configuration, and software delivery across environments while improving reliability, observability, incident response, performance, and security. Collaborates with Software Engineering, Security, SRE, and Product teams to maintain highly available infrastructure and ensure compliance with organizational standards.

Designs, implements, migrates, and supports secure Microsoft 365, Azure, and Modern Work environments. Leads client-facing technical engagements, translates business requirements, manages project delivery, and develops Zero Trust-aligned architectures. Automates processes with PowerShell and Power Automate, administers identity, security, compliance, and governance controls, and supports collaboration platform migrations. The role also documents solutions, responds to incidents, mentors colleagues, maintains client communications, and delivers projects with high billable utilization.

Designs and scales infrastructure for GenAI and LLM workloads across multi-GPU, cloud, and on-premise environments. Responsibilities include GPU profiling, distributed training optimization, Slurm and Kubernetes cluster management, NVIDIA stack enablement, GenAI pipeline deployment, infrastructure-as-code, CI/CD automation, self-service platform development, monitoring, and client-facing architecture leadership. The role mentors technical teams and collaborates with data science, MLOps, software engineering, and application teams.

Designs and maintains scalable cloud and on-premise infrastructure, Infrastructure as Code, Kubernetes environments, CI/CD pipelines, data streaming, caching, observability, and incident response systems. The role owns AWS reliability and cost efficiency, supports progressive deployments, troubleshoots complex production issues, partners with software teams, and drives automation and continuous improvement across platform operations.

Sell Akamai solutions to new major accounts in Canada, build C-level relationships, develop strategic sales plans, manage channel/reseller partnerships, drive high-volume pipeline, and negotiate contracts to ensure customer adoption and satisfaction.

Develop and maintain infrastructure for software development and AI operations, manage CI/CD pipelines, and automate configurations using various tools.

Own end-to-end technical relationships for enterprise customers: lead onboarding and complex implementations across cloud data warehouses, drive adoption and expansion, deliver executive QBRs, build AI-powered automations and internal tooling, and enable agentic AI workflows to reduce engineering dependency and accelerate marketing outcomes.

Lead and manage large-scale, multi-pillar cloud transformation programs using SAFe. Own PI planning, program cadence, risk and dependency management, stakeholder communication, and coaching of Scrum Masters. Support backlog organization, change management, and Jira/Confluence administration to ensure value delivery.

Lead and facilitate Scrum ceremonies, coach teams on agile practices, coordinate migrations with application owners, manage risks and dependencies, maintain Jira artifacts and sprint reporting to enable predictable delivery.

Lead strategic cloud migration planning and stakeholder discussions; assess on-prem VMware environments; define target cloud architectures and governance; design cloud network and security (Palo Alto); oversee hands-on migration of VMs and complex workloads to ROSA/AWS/Azure/GCP; implement containerization and OpenShift migration strategies.

Lead technical pre-sales for enterprise contact-centre AI deals: perform discovery and architecture assessments, design solutions, run demos and POCs, author RFP/RFI technical responses, engage technical stakeholders, and ensure delivery readiness and competitive positioning across assigned region.

Lead a regional sales team to build territory, coach Account Executives on prospecting and CRM use, ensure quota attainment, conduct performance reviews, recruit, manage key customer and channel relationships, and implement processes for sales visibility and escalation.

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.

Define technical visions and architecture for products, platforms, and enterprise systems. Evaluate emerging technologies, lead proofs of concept, and design scalable cloud-native, distributed, and hybrid solutions. Establish engineering standards, assess technical risks, conduct architecture reviews, and guide modernization initiatives. Collaborate with customers and stakeholders, support engineering teams through complex decisions, mentor technical leaders, and contribute to product roadmaps, DevOps practices, and technology strategy.

Develop and enhance core banking applications through requirements analysis, coding, testing, debugging, documentation, deployment, and production support. Partner with business and technical stakeholders to deliver scalable solutions, improve processes, automate workflows, and enhance user experience. Participate in code reviews, technology roadmap discussions, continuous improvement initiatives, and an on-call rotation for troubleshooting critical production systems.

Serve as the primary technical advisor for SMB sales opportunities, partnering with Account Executives throughout sales cycles. Lead technical discovery, product demonstrations, proof-of-value engagements, competitive evaluations, security questionnaires, RFPs, and technical documentation. Advise IT, security, developer, DevOps, and executive stakeholders on identity, endpoint, SaaS, secrets, cloud, and AI security solutions. Collaborate cross-functionally to improve demos, playbooks, enablement, and customer education.

Embed with client engineering teams to deploy, integrate, and scale enterprise generative AI solutions. Build agentic systems, train and serve LLMs with Vertex AI, integrate models with BigQuery/AlloyDB/Spanner, implement streaming inference pipelines, and ensure operational reliability while collaborating with stakeholders to translate business goals into production-grade architectures.

As a Software Engineer, you will design and implement scalable infrastructure systems for AI-powered security solutions, optimize performance, and improve deployment practices across cloud environments.

The AI Engineer designs, develops, and deploys AI-driven applications for non-data scientists, enhancing decision-making and model accessibility for organizations.

Join the STO team to improve observability, scalability, stability, and security of a SaaS platform. Triage incidents, define runbooks, manage services with IaC, monitor SLAs, troubleshoot root causes, collaborate in Agile teams, and participate in an on-call rotation to meet operational SLAs.

Design and evolve cybersecurity operations architecture, lead detection engineering and log ingestion strategies across cloud and SaaS, implement AI-augmented detection and response pipelines, conduct security architecture reviews, improve incident response and threat hunting, mentor SecOps teams, and advise leadership on operational risk and tooling decisions.

Support threat intelligence, incident analysis/response, penetration test coordination, vulnerability scanning and remediation tracking, security tool administration, dashboard maintenance, and adherence to security policies while learning and developing cybersecurity skills.

Senior Software Security Engineer responsible for threat modeling, security architecture reviews, code and penetration testing, integrating SAST/DAST/SCA into CI/CD, triaging vulnerabilities, driving secure SDLC/DevSecOps practices, incident response, and ensuring compliance with industry security standards.

Work with the security team to triage vulnerabilities, operate vulnerability management, audit and refine IAM and access controls, improve CI/CD security checks, tune and automate SIEM alerting and log ingest, support security exercises, research security tools, and document findings.

Define, govern, and maintain global security architecture spanning people, processes, data, and technology. Lead cloud security strategy for GCP and Azure migrations, embed security into CI/CD and containerization, develop guardrails for Generative AI/LLMs, conduct architecture reviews and assurance, implement security tools, produce technical design documentation, and ensure policies and controls align with risk tolerance and compliance frameworks.