Staff Software Engineer

Design and deliver robust production-grade & data-intensive applications that power business-critical use cases around the this role you will operate across domains - owning architecture raising engineering standards and amplifying the impact of your team and the surrounding teams. Your responsibility spans backend services cloud-native infrastructure and data engineering with a focus on building scalable reliable and maintainable systems.

A key success factor in this role is not only technical expertise but to be able to understand & translate complex business requirements into scalable systems. The expectation is that you identify problems and opportunities design solutions for them and implement them together with the team.

Qualifications :

• • Bachelors degree in computer science Computer Engineering relevant technical field or equivalent; Masters degree preferred. 

Additional Information :

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 professional 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.

Collaboration Scope:

• Partner with domain and platform teams to translate complex requirements into resilient architectures.
• Work with technical & org leadership to shape cross-team technical strategy.
• Drive alignment on engineering standards and practices across engineering chapters or guilds.
• Support incident response post-mortems and systemic reliability improvements.
• Contribute to roadmaps that balance business priorities with technical sustainability and platform health.

Remote Work :

No

Employment Type :

Full-time