Top Azure Jobs in Calgary

Owns GitLab’s enterprise pricing, packaging, monetization, and commercialization strategy. Develops pricing programs, enterprise agreements, bundling, channel and cloud marketplace structures, discounting frameworks, and competitive deal plays. Partners with Product, Sales, Finance, Marketing, Deal Desk, Revenue Operations, and partners to implement scalable commercial programs. Creates pricing enablement materials, makes data-backed recommendations, influences senior stakeholders, and documents decisions in an asynchronous, globally distributed environment.

Build and improve MongoDB’s distributed networking and observability systems. Responsibilities include enhancing networking performance, availability, scalability, resource efficiency, and low-overhead observability; leading medium-sized projects from technical design through delivery; collaborating across the project lifecycle; contributing production C++ code; and participating in code reviews and feature design.

The Site Reliability Engineer will manage cloud infrastructure, automate tasks, collaborate in agile teams, and ensure service reliability and quality.

Conduct third-party security assessments, evaluate vendor controls, document risk findings, automate GRC workflows with Python and agentic coding tools, maintain integrations across ticketing and risk platforms, and develop dashboards and reporting. Partner with Procurement, Legal, Engineering, IT, Compliance, and Privacy to support risk-informed decisions and mature security governance processes.

Manage and scale Enverus' global AWS infrastructure, automate deployments and CI/CD, ensure high uptime, collaborate with developers to enable zero-downtime releases, participate in on-call rotations, and improve operational practices.

Design, build, and maintain SparkSQL/PySpark data pipelines in the central data lake to ingest IoT, product, and unstructured data (video/audio). Produce reliable computed tables for analytics, model training, and dashboards; integrate external datasets; ensure high data quality and uptime; and collaborate with Data Science, ML, and cross-functional teams.

Design, build, and operate large-scale Spark/PySpark data pipelines and the enterprise data platform. Implement data integrations, transformations (Python/SQL), monitoring, and data quality. Build MCP servers and AI-enabled tooling, optimize performance, mentor engineers, and lead cross-functional data projects to enable analytics and automation.

Build and ship production-grade agentic AI workflows across Acquia’s digital experience platform. Design stateful multi-agent systems using LangGraph, Temporal, and Pydantic; own LangFuse observability, evaluation, and benchmarking; establish standards for RAG, prompting, context optimization, and tool calling; partner on secure, reliable enterprise architectures; evaluate AI tooling; mentor engineers; and support customer architecture and roadmap discussions.

Design, deploy, and operate enterprise network infrastructure across data centers and cloud (GCP, AWS, Azure). Manage VPCs, VPNs, BGP, F5 BIG-IP, hybrid connectivity, and observability. Build IaC and automation with Terraform, GitLab CI/CD, and Ansible. Maintain monitoring, documentation, and participate in on-call support for critical incidents.

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.

Lead multi-year strategy, product architecture, and monetization for MongoDB's distributed query engine. Drive cross-functional alignment, mentor PMs, engage senior customers, own business cases, and represent the product externally to shape roadmap and market adoption.

Designs, governs, and maintains enterprise data architectures, including conceptual, logical, physical, and semantic models on Azure. Establishes standards for integration, lineage, metadata, data quality, master data management, and performance. Provides technical leadership, reviews solution designs, supports data pipelines and reporting ecosystems, and contributes to platform strategy, governance, proof-of-concepts, RFPs, and AI/ML enablement. Collaborates with IT, business stakeholders, and Data Office teams to deliver secure, scalable, reliable data solutions.

Supports implementation and ongoing operation of Enspire electricity-market applications. Responsibilities include requirements gathering, application development, SQL and database work, Agile backlog management, testing, issue resolution, vendor documentation review, stakeholder alignment, deployment readiness, and lifecycle support. The role develops cloud-based solutions using JavaScript, Python, Azure, APIs, containers, and related technologies while contributing to large-scale system modernization and product delivery.

Designs and leads scalable data architectures across cloud platforms, including data lakes, warehouses, analytics platforms, ETL/ELT pipelines, streaming ingestion, and data governance. Provides technical leadership, mentors engineers, optimizes performance and reliability, supports data migrations to Databricks Lakehouse, and advises clients on modernization and architecture decisions. Collaborates with stakeholders and analytics teams to deliver solutions for reporting, analytics, and AI initiatives.

Lead AI architecture across multiple client engagements, shaping solutions during pre-sales and governing designs through delivery. Define model hosting, security, data residency, integration, evaluation, observability, and cost standards. Maintain reference architectures and reusable accelerators, review code and designs, prototype solutions, mentor AI and data engineers, support technical hiring, and represent the company before enterprise architecture and security boards. The role requires hands-on enterprise software and production LLM experience, commercial judgment, and willingness to travel to Canadian client sites.

Build and operate high-throughput backend services powering AI agent orchestration, connector integrations, and real-time data pipelines. Design core platform services, infrastructure-as-code, CI/CD, and scalable APIs. Collaborate with ML, frontend, and product teams to ship AI-powered features, mentor junior engineers, and maintain high availability for consumer and enterprise customers.

Lead and grow a solution engineering team for AI-powered Dynamics 365 business solutions. Own technical win strategy, coach demos and solution design, partner with sales to convert pipeline, enable value assessments, manage proposals, and align with partners and Customer Success to achieve revenue and deployment outcomes.

Design, develop, test, and maintain scalable Java backend applications using Spring and Spring Boot. Build RESTful APIs and microservices, integrate external systems, optimize performance and reliability, and implement security and data protection. Collaborate with cross-functional teams, conduct code reviews, mentor junior developers, and contribute to Agile practices. Develop unit and integration tests, maintain CI/CD pipelines, and support DevOps deployment and monitoring activities.

Provide Level 2 application support including ticket triage, incident investigation, database management, patching, monitoring, root cause analysis, stakeholder communication, and on‑call/off‑hours support. Coordinate with IT teams to implement fixes, validate deployments, and improve support and change‑management processes.

Designs and operates scalable security logging infrastructure, data lakes, ingestion pipelines, and multi-tier storage for enterprise-scale observability. Responsibilities include architecting ELK and OpenSearch environments, optimizing ingestion and queries, implementing infrastructure as code, developing APIs and integrations, managing retention and costs, capacity planning, and supporting disaster recovery. The role partners with security leadership on platform strategy and mentors engineers while enabling analytics and detection engineering across cloud environments.

Lead and develop a team of Solution Engineers to drive customer Cloud and AI adoption. Coach staff, build stakeholder and partner relationships, manage pipeline and forecasting, support technical pre-sales engagements, and align resources to deliver business outcomes while promoting continuous learning and industry best practices.

Design and lead scalable data engineering solutions using Databricks and Azure. Establish enterprise data modeling and engineering standards, architect pipelines and integrations, improve platform reliability and performance, guide modernization and cloud migrations, troubleshoot complex issues, and mentor data engineers while ensuring security, quality, and governance.

Design, develop, and maintain scalable data pipelines, models, ingestion, transformation, and integration solutions using Databricks and Microsoft Azure. Troubleshoot performance and data quality issues, optimize workflows, support migrations and modernization, and collaborate with architecture and engineering teams. Translate business requirements into technical solutions while following security, governance, quality, and engineering best practices.

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.

Administer, optimize, and troubleshoot server infrastructure (physical and virtual), monitor performance and capacity, implement upgrades and security measures, support integrations and migrations, maintain documentation, and collaborate across teams to ensure high availability and reliability.