**About the Role** As a Senior Software Engineer on the Cloud-Lake team, you will play a critical role in driving Uber’s batch data infrastructure to the cloud. You’ll be responsible for building scalable, reliable systems that automate dataset replication, orchestrate workload migrations, and ensure data integrity and performance across hybrid environments. You will collaborate with infra, platform, and product teams to migrate hundreds of PBs of data and thousands of pipelines, minimizing customer impact and ensuring strong observability and resilience during the transition. This role is central to delivering on Uber’s long-term cost, performance, and scalability goals. **What the Candidate Will Need / Bonus Points** \-\-\-\- What the Candidate Will Do ---- Lead design and development of critical migration components like dataset replication, workload redirection, and metadata reconciliation. Own key modules such as state tracking, observability tooling, rollback workflows, or migration planners. Collaborate with infra, data platform, and product teams to define migration strategies, create scalable solutions, and align on delivery timelines. Proactively identify gaps in current migration tooling, propose improvements, and drive execution. Work closely with stakeholders to ensure seamless migration of workloads, accurate lineage mapping, and minimal customer disruption. Take ownership of production reliability, implement alerting for silent failures, and drive initiatives for automatic anomaly detection. Represent the team in architecture reviews, technical deep-dives, and operational postmortems. \-\-\-\- Basic Qualifications ---- 8+ years of software engineering experience, including backend development in **Java, Go, or Python**. Strong understanding of **distributed systems**, **data processing frameworks (e.g., Spark, Hive, Presto)**, and **cloud-native services (e.g., GCS, S3, BigQuery)**. Proven experience designing and operating **fault-tolerant**, **scalable systems** in production. Proficiency with **batch job orchestration tools** (e.g., Airflow, Piper) and monitoring/observability best practices. Experience working with **large-scale data systems**, including large scale upgrades, storage optimisations and handling consistency / availability challenges Strong debugging skills, ownership mindset, and the ability to work across team boundaries. \-\-\-\- Preferred Qualifications ---- Bachelors (or Masters) in Compute Science Experience leading projects that span multiple teams and domains. Prior exposure to **cloud migration initiatives** or hybrid cloud/on-prem transitions. Knowledge of metadata management, data lineage, and data governance systems. Experience in **building internal platforms or tooling** to improve engineering productivity and reduce operational burden. Strong communication skills and a history of mentoring or guiding junior engineers. We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world 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](mailto:accommodations@uber.com).