Software Engineer II

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The sports world has never been more obsessed with data. Here at the Microsoft Sports Data Engineering team, we are too. We are building low latency, high available pipelines that process billions of messages per month across thousands of leagues, tournaments and moment in time events, and helps millions of users to keep up with the live game scores from their favorite soccer teams, fill the bracket with favorite college basketball team in March madness, set their fantasy football lineups, watch highlights from the cricket world cup, cheer for their country rising up in the medal tally in olympics and integrate this experience across everyday Microsoft products such as Bing, Bing Chat, Edge, MSN, Windows, Office, and more.

Microsoft Sports Data Engineering team is looking for a backend Software Engineer II to help build data ingestion platform and service, own trust pillars on data and help build the next generation of sports experiences. This opportunity will allow you to accelerate your career growth in cloud native development, build low latency data pipeline with billions of data points, work in sports domain and connect with millions of sports fans worldwide.

We aspire to be the #1 destination for top sports around the world and are looking for someone to help get us there.

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.

Required Qualifications:

• Bachelor’s degree in computer science, or related technical discipline AND 2+ years of technical engineering experience with coding in C# or other modern programming language.
  • OR equivalent experience.
• 2+ years of experience with cloud technologies (AWS/Azure/Google Cloud).

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Bachelor’s degree in computer science, or related technical discipline AND 4+ years of technical engineering experience with coding in C# or other modern programming language.
  • OR master's degree in computer science or related technical field AND 2+ years technical engineering experience with coding in C# or other modern programming language.
  • OR equivalent experience.
• 3+ years experience building cloud-native services with microservices, or service-oriented architecture, preferably with azure cloud technologies.
• Experience in system engineering and distributed infrastructure.
• Experience in database (SQL or NoSQL) with schema design.
• Experience in shipping large scale software as a service with high availability, low latency and experience in performance tuning.

• Work with appropriate stakeholders determine user requirements to source and ingest sports structured data.
• Drive identification of dependencies and develop design documents for the sports data platform and services.
• Create, implement, optimize, debug, refactor, and reuse code to establish and improve performance and maintainability, effectiveness, and return on investment (ROI).
• Partner with appropriate stakeholders (e.g., project managers) to drive project plan, estimation, work items, experimentation and release plan.
• Act as a Designated Responsible Individual (DRI) and guides other engineers by developing and following a playbook, working on call to monitor sports data, data platform and service for degradation, downtime, or interruptions, alerting stakeholders about status and initiate actions to restore the service for simple and complex problems when appropriate.
• Proactively seek new knowledge and adapt 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.