Software Engineer 2 (Casual Games)

Instant Play (Casual Games) team is responsible for delivering best user experience of Casual Games that Microsoft provides through different products (e.g., Edge browser, Bing.com, MSN.com). SOTA near real time data ingestion backend, AI driven data enrichment and an UX stack which powers games experiences across multiple Microsoft products, such as Microsoft News, Bing, MSN, Outlook, etc. Microsoft Instant Play Growth & Experience Team is looking for a self-motivated, creative full stack engineer with strong computer science fundamentals to champion quality customer experience. You will get a chance to work on complex, global challenges and deliver groundbreaking solutions that shape the way casual games fans consumes content.
You will be one of the key team members on the team working on next Microsoft Instant Play (casual games) experiences. We are looking for a Software Engineer 2 (or above), to provide advanced technical support for Casual games backend services, ingestion pipeline, management portal, monitoring etc. You will join a team that is focused on results, working together to solve problems, and committed to developing people.

A qualified candidate should have a proven track record of shipping software, should have excellent technical knowledge, excellent communication, and cross-group/discipline collaboration skills. In addition, a successful candidate should have experience leading small teams and owning end-to-end delivery of complex software products.
A successful candidate will have the following qualifications:
• Bachelor’s degree in computer science, Information Technology, or related field AND 3+ years technical experience in software engineering, network engineering, service engineering, or systems engineering
OR equivalent experience, with coding in languages including, but not limited to C, C++, C#, JAVA
• Experience building highly scalable services (API, backend), 2+ years of experience with distributed systems or micro services.
Preferred Qualifications
• 5+ years’ experience working with Microsoft stack of products and general technology background.
• Knowledge of Microsoft Azure, AWS or similar cloud computing platforms.
• Ability to work through self-directed, ambiguous situations

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

• Develop end-to-end expertise in service/system design, interactions, functions, and dependencies at scale.
• Implement reliable, scalable, and high-performance solutions, contribute to design documents, and own implementation/rollback plans.
• Drive reviews, identify opportunities for performance & efficiencies, and share learnings across engineering teams.
• Maintain current knowledge and expertise, drive the adoption of new solutions, and provide guidance through sharing and coaching.
• Maintain quality checklist and documentation, monitor telemetry data, and influence analytics to identify system issues.
• Develop scripts/automation for quality telemetry pipelines supporting monitoring and incident response.
• Respond to regular on call rotations for incidents, escalate complex issues, contribute to postmortems, and provide expertise incident response assistance.
• File bugs, drive root cause analysis, create process/troubleshooting documentation, and conduct data and trend analysis.