Staff Software Engineer, TLM

9 - 14 years

50 - 55 Lacs

Posted:3 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  1. Design and Review Architecture

    : Lead the design of large-scale backend services for Uber s GRC automation platform; review and guide system design proposals from team members to ensure scalability, reliability, and compliance.
  2. Hands-On Coding

    : Contribute directly to backend services in Go, Java, or Python staying close to the codebase while delegating appropriately.
  3. Team Leadership Mentorship

    : Provide regular feedback, career development coaching, and technical mentorship to a small team of engineers, ensuring high productivity and growth.
  4. Cross-Functional Collaboration

    : Partner with Product, Security, Compliance, and Platform Engineering teams to align roadmaps and deliver solutions that support global risk and compliance goals.
  5. Operational Excellence

    : Monitor key service metrics, lead incident response reviews, and drive continuous improvement in availability, performance, and quality.
  6. Project Ownership

    : Ensure projects are executed with clear timelines, unblock dependencies, and balance short-term deliverables with long-term system health.
  7. Scaling People Systems

    : Model the balance between being a strong individual contributor and a people leader raising the technical bar while building a cohesive, inclusive engineering culture.
Basic Qualifications ----
  1. 9+ years

    of experience building and operating large-scale distributed systems.
  2. Proven experience setting technical direction and leading a team through the full lifecycle of a new product or platform .
  3. Strong knowledge of backend technologies (e.g., Go, Java, Python) and cloud-native infrastructure.
  4. Expertise in system design, distributed architectures, performance tuning, and API development.
  5. Experience leading the design, development, and delivery of systems that support AI/ML applications in production (e.g., model serving platforms, feature engineering pipelines, large-scale data processing).
  6. Ability to make sound engineering/business tradeoffs across multiple priorities

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Uber

Technology, Information and Internet

San Francisco California

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