Roles & Responsibility:

- Design and own end-to-end architectures across microservices, event-driven systems, and data platforms.

- Build and deliver high-quality backend services and APIs that are reliable, secure, and scalable.

- Design and operate cloud-native infrastructure on Kubernetes, applying platform engineering best practices.

- Build and maintain data pipelines and products on Spark and Databricks where required.

- Drive event-driven architecture using Kafka and streaming technologies.

- Write clean, testable, and maintainable software primarily in Scala with Python where appropriate.

- Lead architecture and design reviews; author lightweight design documents for major decisions.

- Define and improve engineering standards across testing, observability, CI/CD, and reliability.

- Coach and mentor engineers at multiple levels through reviews, design sessions, and pairing.

- Build observability into systems from day one (logs, metrics, tracing, alerting, SLOs).

- Deliver through CI/CD with safe release, rollback, and progressive delivery strategies.

Skills

- 8+ years of skilled software engineering experience across backend, platform and or data domains.





- Strong programming skills in Scala or Java (Scala preferred); other languages are a plus.

- Proven experience building distributed microservices and event-driven systems ideally in the Scala / JVM ecosystem (we use KStreams, Flink, cats-effect, fs2 & tapir)

- Hands-on experience with Kafka in production at scale.

- Solid experience designing and developing APIs (REST and/or event-driven interfaces).

- Strong knowledge of relational databases (e.g. PostgreSQL), data modeling, and query optimization.

- Experience building distributed data pipelines with Spark and/or Databricks.

- Demonstrated ability to lead technical design and architecture decisions across teams.

- Experience mentoring and growing engineers.

Good To Have:

- Working knowledge of Kubernetes — workloads, networking, Helm, scaling, and operational practices.

- Experience with data governance, lakehouse table formats (Delta, Iceberg), and modern data platforms.

- Experience with platform engineering — building developer platforms, golden paths, or internal tooling.

- Performance profiling and JVM tuning experience.

- Experience with MLOps or data science platform integrations.

📌 Staff Software Engineer (Bengaluru)
🏢 Bosch Global Software Technologies
📍 Bengaluru