Teams at Digital Turbine

Design, build, and operate large-scale distributed systems and data platforms. Drive GitOps/ArgoCD and unified CI/CD standardization. Build Kubernetes-based infrastructure (including Spark-on-K8s and Databricks), implement MLOps and data-pipeline capabilities, improve observability, automation, and cost-efficiency, and participate in on-call rotations and incident response.

Advise Digital Turbine on global privacy and data protection matters across products, engineering, partnerships, advertising operations, and commercial deals. Responsibilities include privacy-by-design guidance, data processing agreements, international data transfers, compliance programs, privacy notices, breach response, regulatory inquiries, data subject rights, and stakeholder training. The role also negotiates privacy terms, tracks evolving laws, and develops scalable privacy processes and playbooks.

Lead backend architecture and development of scalable, fault-tolerant, low-latency microservices and APIs. Optimize algorithms, concurrency, throughput, and memory usage across distributed systems. Own production reliability through telemetry, tracing, failover, and performance tuning. Establish architectural standards, mentor engineers, conduct technical reviews, and collaborate with product, architecture, and data teams. The role requires polyglot backend expertise, relational and NoSQL data experience, event-driven systems knowledge, and strong technical leadership.