Senior Software Engineer_Backend

About the Role

1. At Uber, the Digital Experience (DE) team is reimagining how employees interact with internal systems. We combine solid software engineering with smart, AI-driven product thinking to build tools and automations that make work smoother, faster, and more efficient. From day one, DEE has focused on driving real productivity gains and meaningful business impact.
2. As a Software Engineer on this lean and fast-moving team, you'll be building scalable backend systems that turn slow, manual processes into smart, automated workflows. You'll help reduce repetitive operational work and improve support across enterprise functions like HR, IT, and Security. It's hands-on, impactful work that makes a difference every day.
3. You'll work closely with internal teams and SaaS platforms, using technologies like Java, Go, Python, and Generative AI (GenAI). Whether you're optimizing a process that used to take hours or building an AI assistant to handle support tickets, your work will directly shape the daily experience of tens of thousands of Uber employees, helping us move faster, stay focused, and get more done with less.
4. If you're excited by the idea of building intelligent systems that empower people and drive change at scale, we'd love to have you on board.

What the Candidate Will Need / Bonus Points

---- What the Candidate Will Do ----

1. Design, build, and own core components of our Integrations Platform.
2. Develop reliable ingest and delivery paths (queues/streams/webhooks) with strong correctness guarantees: ordering where needed, idempotency, retries with backoff, and robust DLQ handling.
3. Establish and enforce API and event contracts (versioning, schemas, compatibility) to enable safely evolvable integrations across many teams.
4. Create self-service developer experiences-SDKs, templates, CLIs, runbooks, and dashboards-that make it easy for product teams to build and monitor integrations.
5. Drive observability end-to-end: metrics, logs, traces, SLOs/error budgets, alerting, and playbooks; participate in on-call and lead incident/root-cause analysis.
6. Partner with Security, Data, and Application teams to ensure integrations meet security, privacy, and compliance requirements (authn/z, data governance, auditability).
7. Improve reliability and efficiency through automation (testing, deployments, backfills, data repair tools) and infrastructure improvements (Kubernetes, IaC).
8. Profile and optimize service latency, throughput, and cost; plan capacity and scaling strategies for peak workloads and partner/third-party limits.
9. Author and review technical designs/RFCs, make pragmatic trade-offs, and align stakeholders on solutions to ambiguous integration problems.
10. Mentor peers through code/design reviews and knowledge sharing; raise the bar on engineering quality, monitoring, and operational excellence.
11. Leverage AI where it measurably helps (test generation, code/infra scaffolding, diagnostics, documentation) and instrument results to demonstrate impact.

---- Basic Qualifications ----

1. Bachelor's degree in Computer Science, Engineering, Mathematics, or related field, or equivalent practical experience.
2. 6+ years of professional software engineering experience building backend services and distributed systems.
3. Proficiency in one or more of Go, Java, or Python; ability to write efficient, maintainable, well-tested code.
4. Hands-on experience designing and operating service APIs (REST/gRPC/GraphQL) and event-driven systems (e.g., Kafka, Pub/Sub, SQS).
5. Solid understanding of distributed systems concepts: consistency models, idempotency, transactions/atomicity, retries/backoff, and failure isolation.
6. Experience with data integration patterns: webhooks, batch & streaming pipelines, ETL/ELT etc.
7. Proficiency with relational and key-value datastores (e.g., Postgres, MySQL, Redis) and schema design.
8. Operational experience: on-call participation, ownership of services in production, and use of observability (metrics, logs, traces) to drive reliability.
9. Strong testing discipline: unit/integration/contract tests, CI/CD, and containerization (Docker) with deployment to Kubernetes or similar.
10. Clear, effective communicator with a track record of leading feature-level technical design and collaborating across teams.

---- Preferred Qualifications ----

1. Built or operated an integration platform, API gateway, connector framework, or workflow engine at scale.
2. Experience integrating with enterprise SaaS (e.g., Salesforce, Workday, ServiceNow, Okta) and identity protocols (OAuth2/OIDC/SAML, SCIM); familiarity with webhook security and lifecycle.
3. Expertise with message semantics and correctness in distributed flows: idempotency keys, deduplication, DLQs, exactly-once goals over at-least-once transports, rate limiting, and backpressure.
4. Cloud proficiency (AWS/GCP/Azure), serverless (Lambda/Cloud Functions), and infrastructure as code (Terraform); secrets and key management (KMS/Vault).
5. Security & compliance awareness: IAM, SSO/MFA, audit logging, data classification/PII handling, and privacy considerations (e.g., GDPR/CCPA).
6. Performance tuning of Go/JVM services; profiling, load testing, and capacity planning/SLOs.
7. Familiarity with workflow/orchestration tools (e.g., Temporal, Airflow, Argo Workflows, Step Functions).
8. Demonstrated use of AI tools across the SDLC (code generation, test scaffolding, runbook/RFC drafting) to improve developer productivity.
9. Experience mentoring junior engineers, conducting design reviews, and authoring clear technical documents/RFCs.
10. Contributions to open source or internal reusable frameworks/libraries.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let's move it forward, together.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.

Client-provided location(s): Bangalore, India, Hyderabad, India

Job ID: Uber-150144

Employment Type: FULL_TIME

Posted: 2026-01-20T00:30:34