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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer - **Company:** Microsoft - **Location:** Redmond, WA, United States - **Experience:** Expert - **Salary:** $119,800.0 - $234,700.0 - **Contract:** Permanent contract - **Skills:** C (Programming Language), Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, Computing Platforms, Systems Engineering, Automation of Tests, Microsoft Azure, C Sharp (Programming Language), C++ (Programming Language), Continuous Integration, Information Engineering, DevOps, Programming Tools, Distributed Systems, Github, Python (Programming Language), Key Management, Marketing Information Systems, Microsoft Software, Windows PowerShell, Release Management, Reliability Engineering, DataOps, Software Engineering, Azure Service Bus, Azure Data Factory, Azure Powershell, Build Management, Microsoft Fabric, Infrastructure Automation Frameworks, Information Technology, Bicep, Cosmos DB, Terraform, Azure Synapse Analytics, Software Version Control, Devsecops, Serverless Computing, Databricks - **Published:** October 6, 2026 - **Apply:** https://www.jobmonkeyjobs.com/career/28085960/Senior-Software-Engineer-Washington-Redmond-1210 ## About the Role This is a hands-on engineering role for someone who enjoys eliminating operational toil, improving developer experience, and using automation and AI to create scalable engineering systems. You will partner closely with Data Engineering, DataOps, Security, Governance, and Microsoft product teams to improve the speed, reliability, security, and cost efficiency of the Marketing data platform., * Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python + OR equivalent experience., * Experience building and operating cloud-scale platforms, infrastructure, or distributed systems. * Experience with Microsoft Azure infrastructure and platform services, including networking, identity, compute, storage, containers, serverless technologies, monitoring, and resource governance. * Experience building and operating CI/CD pipelines, reusable deployment frameworks, and automated software deployment systems using Azure DevOps, GitHub Actions, or comparable technologies. * Experience with Infrastructure-as-Code, automated infrastructure provisioning, and environment management using technologies such as Bicep, ARM, Terraform, PowerShell, Azure CLI, or equivalent. * Experience with DevOps, SRE, observability, deployment reliability, and operational engineering practices. * Experience with FinOps or cloud-cost engineering, including analyzing cloud consumption and utilization data, cost attribution, rightsizing, resource optimization, capacity management, and automated cost controls. * Experience with Microsoft Fabric, Azure Data Factory, Synapse, Azure Databricks, Cosmos DB, Azure Data Explorer, Storage, Event Hubs, Functions, AKS, or related Azure data/platform technologies, as well as AI-assisted development tools or AI/agentic automation capabilities. Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year. ## Description * Design and build reusable platform engineering and DevOps capabilities across the Marketing data ecosystem, including Azure and Microsoft Fabric workloads. * Develop standardized CI/CD frameworks and deployment patterns that enable reliable, repeatable, and secure releases across environments. * Build and maintain Infrastructure-as-Code frameworks using technologies such as Bicep, ARM, Terraform, PowerShell, or equivalent tooling. * Automate infrastructure and environment provisioning, configuration, policy application, deployment, and lifecycle management. * Develop self-service platform capabilities and paved-road engineering patterns that allow application and data teams to provision and operate infrastructure with minimal manual intervention. * Drive infrastructure and cloud cost optimization through utilization telemetry, tagging, attribution, idle-resource detection, rightsizing, automated shutdown, capacity optimization, and policy-based controls. * Build capabilities that provide near-real-time visibility into infrastructure utilization and cost across domains, subscriptions, resource groups, services, and business initiatives. * Establish engineering standards for source control, branching, release management, automated testing, environment promotion, rollback, and deployment validation. * Partner with DataOps and Reliability Engineering to improve observability, monitoring, alerting, SLOs, incident diagnosis, and automated remediation. * Engineer platform capabilities that improve resilience, including automated recovery, deployment safety, configuration validation, capacity management, and environment consistency. * Integrate security-by-design and DevSecOps practices into CI/CD and infrastructure workflows, including policy enforcement, secrets management, identity, network controls, and automated security validation. * Apply AI-assisted and agentic engineering capabilities to improve developer productivity, automate operational tasks, analyze infrastructure health, and accelerate troubleshooting and remediation. * Identify recurring engineering and operational toil and convert manual processes into reusable automation and platform capabilities. * Use operational telemetry, incidents, cost data, deployment metrics, and developer feedback to identify and prioritize platform improvements. * Partner with Microsoft Azure, Fabric, Developer Tools, and other product teams to address platform gaps and influence product capabilities.