Design, build, and operate largescale distributed data systems using technologies such as Spark, Hadoop, MapReduce, or equivalent platforms. Own features endtoend, including design, architecture, implementation, testing, debugging, deployment, and livesite operations. Apply strong DevOps and operational excellence practices with a deep focus on livesite health and reliability. Stay current with industry trends and apply best practices in scalability, performance, and secure system design.
Responsibilities
Drive solutions for ambiguous, unscoped problems, defining success metrics and executing effectively under uncertainty. Implement statistical analysis and data pipelines using SQL, Python, R, or similar languages in bigdata environments. Lead design and code reviews, ensuring high standards of quality, performance, reliability, and maintainability. Partner with Program Managers, Architects, and business stakeholders on workforce planning, demand planning, and holistic service design. Ensure solutions meet security, privacy, accessibility, GDPR, and compliance requirements while scaling efficiently.
Required Qualifications
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. Strong problem solving and analytical skills, with the ability to reason at scale. Experience building and operating production services in distributed or bigdata environments. Solid understanding of DevOps practices, CI/CD pipelines, monitoring, and operational readiness. Proven ability to collaborate effectively across engineering, product, and research teams. Excellent communication skills, with the ability to influence design and execution across teams. Experience working on dataintensive or AI/MLdriven systems. BS or MS in Computer Science, Engineering, or equivalent industry experience.
Original Posting
This role is sourced from Microsoft. Apply on Microsoft careers page