Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence, and is looking to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.
Requirements
- 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C, Java, JavaScript, or Python
- 4+ years of experience designing and delivering scalable, production-grade services, APIs, or developer platforms
- Prior development experience, in delivering large scale services with a fearless mindset to tackle intrinsically hard technical problems and making customer successful
- Problem-solving, design and troubleshooting skills, with a bias for designing and supporting systems at scale with high quality
- Able to analyze and clearly articulate complex issues/abstractions and technologies understandably
Responsibilities
- You are responsible for the technical design and implementing low latency, high performance, always available software for a plant scale service for mission critical workloads
- You will work closely with cross-functional teams across Azure CosmosDB, to enable and succeed both Microsoft internal and customers to be successful on CosmosDB platform.
- You lead by example. You are a hands-on practitioner in development, operationalization and support
- Your ability to balancing the long-term architecture while delivering the incremental milestones with simplicity and maintainability as core tenets and executing it through peers
Other
- Bachelor's Degree in Computer Science or related technical field
- Ability to meet Microsoft, customer and/or government security screening requirements
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
- Willingness to learn, cooperate and collaborate with-in and across teams and ability to progress independently
- Self-starter, execute, get it done, and own the feature, accountable while maintaining a very high-quality bar
