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Uber Logo Uber · IT - Software Development

Senior Software Engineer Backend

India, Bangalore · Job Posted February 17, 2026
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Job Description

Uber’s Digital Experience team builds the internal platforms and automations that keep our company running at global scale. We’re moving decisively toward highly automated --eliminating manual toil, improving safety, and unlocking efficiency and cost savings through software. As a Senior Software Engineer, you’ll design, build, and operate scalable backend systems while also shaping our DevOps strategy for the corporate environment. You’ll turn manual workflows into resilient services, treat SaaS and infrastructure as code, and create guardrails that make changes safe by default. The work spans service design, CI/CD, Kubernetes, Terraform, and observability, with hands‑on ownership from architecture through on‑call.

Job Responsibility

  • Design and implement backend services, tools, and infrastructure to streamline and automate internal operational workflows
  • Partner with applications, support, and engineering teams to identify high-impact pain points and build software solutions that reduce manual intervention
  • Write clean, maintainable, and well-tested code in alignment with engineering best practices
  • Develop and maintain our infrastructure-as-code (IaC) using tools like Terraform and Kubernetes, ensuring our platforms are secure, scalable, and highly observable
  • Lead the charge in identifying and executing on opportunities for automation, proactively seeking to eliminate toil and driving measurable improvements in efficiency and cost savings
  • Mentor and collaborate with other engineers, elevating the team's technical capabilities and championing best practices in software development and modern DevOps principles
  • Design & own backend services and integrations that automate internal workflows across Corporate Engineering, IT, AV/Workplace, and Security
  • Treat SaaS & infra as code: model configurations, enforce change controls, and build APIs/CLIs/terraform modules that make the right path the easy path
  • Instrument everything: define SLOs, create dashboards/alerts, and lead incident response and post‑incident improvements

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience
  • 6+ years of professional experience building and operating backend services at scale
  • Strong proficiency in Go, Java, or Python and in designing APIs (REST/gRPC) and event-driven integrations
  • Hands‑on with CI/CD, containers (Docker), Kubernetes, and infrastructure as code (Terraform)
  • Solid grasp of distributed systems fundamentals: reliability, idempotency, retries/backoff, and failure isolation
  • Experience with relational/kv datastores (e.g., Postgres/MySQL, Redis) and schema design
  • Proven testing discipline (unit/integration/contract), code reviews, and production ownership with on‑call
  • Familiarity with observability (metrics, logs, traces) and using SLOs/error to guide operations
  • Demonstrated ability to learn quickly, adapt to ambiguity, and drive projects from discovery through delivery

Nice to have

  • Deep expertise in designing, building, and operating distributed, high-throughput systems
  • Proven, hands-on experience with infrastructure-as-code (e.g., Terraform, CloudFormation) and container orchestration platforms (e.g., Kubernetes, Docker)
  • Substantial experience with at least one major public cloud provider (e.g., AWS, GCP, Azure)
  • A strong, demonstrated passion for automation and a track record of measurably improving system reliability, operational efficiency, and developer velocity
  • Excellent problem-solving skills, a high degree of ownership, and the ability to navigate ambiguity in a fast-paced, collaborative environment
  • Experience building systems that automate complex business workflows or integrate with enterprise platforms (e.g., Workday, Salesforce, SAP)
  • Background in observability‑driven automation (auto‑remediation, runbooks, self‑healing workflows)
  • Mentorship of peers, leading design reviews/RFCs, and raising the bar on engineering excellence
  • Practical use of AI tooling to accelerate SDLC (code/test/infra scaffolding, diagnostics, docs)
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