Software Engineer II
 Microsoft | |
remote work
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 United States, Washington, Redmond | |
 Jan 03, 2025 | |
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OverviewMicrosoft's Cloud Operations and Innovation (CO+I) team builds and operates Microsoft datacenters, which in turn power Microsoft's cloud business. We anticipate and provide capacity for continuous scale. The CO+I Engineering team (CO+IE) delivers services, applications, and automation supporting datacenter planning, construction, and operation. We own a large portfolio of services, including workflows that enable predicable, lowest cost datacenter construction, telemetry systems that drive high availability and optimized energy usage, and task and performance management applications that help our operation run as efficiently as possible. CO+I Engineering is a competitive advantage for Microsoft, and an important pillar in its cloud success. Within CO+I, the Datacenter Planning & eXecution Engineering (DPXE) team is responsible for delivering datacenter capacity for Microsoft's cloud business. We have a portfolio of complex, multi-disciplinary, multi-million, multi-year datacenter construction and lease projects with specific safety, quality, schedule, and cost goals. The DPX Engineering Team is responsible for architecting, designing, and building the next generation of connected systems and tools using microservices architecture or ERP platforms to help manage and support critical business functions such as Supply Chain, Cost, Schedule, Networking, Commissioning, Safety, Planning etc. in a real time manner. The team has a charter to deliver against the NorthStar goal of building robust automation for these functions through well engineered systems and at the same time design and build the next gen, ML based, recommendation engine to enable cost and schedule modeling, supply planning, execution planning etc. while integrating with the bigger CO+I ecosystem. We are looking for a passionate, innovative, high energy Software Engineer II who can deal with ambiguity and challenge the status-quo to deliver automation capabilities that power the long-range execution planning efforts, drive workflow improvements and build solutions to assist in the delivery of large scale data centers through efficient management of cost and schedule. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. *This role is located either in one or all hub locations - Atlanta, GA, Washington, D.C., Redmond, WA, San Antonio, TX or Phoenix, AZ.*Relocation support will be provided, and successful candidates must relocate or reside within 50 miles of the hub office location.*This role is eligible for hybrid or remote work, up to 100%.
Responsibilities Write high quality, maintainable, reusable code following SOLID principles.Collaborate with and demonstrate features developed to stakeholders in an Agile environment.Resolve complex system integration challenges working with other members of the team and external teams.Share learnings and code assets developed with the CO+I engineering team. Leverage subject-matter expertise of product features and partners with appropriate stakeholders (e.g., project managers) to drive a workgroup's project plans, release plans, and work items.Act as a Designated Responsible Individual (DRI) and guide other engineers by developing and following the playbook, working on call to monitor system/product/service for degradation, downtime, or interruptions, alerting stakeholders about status and initiates actions to restore system/product/service for simple and complex problems when appropriate.Proactively seek new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale. | |