Posted on: 13/05/2026
Description :
- Distributed data processing Apache Spark or equivalent (Flink, Akka, Kafka Streams); production-scale experience required
- Kafka : Event-driven architecture, producers/consumers, production usage
- AWS : Practical experience with Step Functions, ECS, Lambda, or EMR
- Strong SQL and data modeling : Ideally PostgreSQL (schema design, query optimization, indexes)
- Strong LLD : Modular architecture, clean abstractions, separation of concerns
- API design : RESTful services, backward compatibility, versioning
- System architecture : ability to design, evaluate, and evolve system-level architecture from scratch
- Testing strategy : unit, integration, E2E - deliberate approach to coverage and reliability
- Monitoring & observability : Logging, metrics, alerting, dashboards in production systems
- Solid knowledge of data structures, OOP, and design patterns
- Cross-team technical leadership, stakeholder alignment, mentoring culture
- CI/CD pipelines (GitHub / GitLab) and engineering best practices
- English : Upper Intermediate+ (written and spoken)
Nice to have :
- Java
- Python : Any meaningful usage (scripting, ETL, data processing, Flask/FastAPI; LLM/MCP
tooling is a bonus)
- Apache Airflow or similar pipeline orchestration
- Experience with geospatial/map-related data or large-scale data ingestion systems
Responsibilities :
- Define system architecture and drive technical direction for backend services and data
processing pipelines
- Design and implement distributed processing solutions at scale - batch and near-real-time
- Own delivery end-to-end : from design through testing, performance optimization, and
production readiness
- Define and enforce testing strategy (Unit, Integration, E2E) across the team
- Set up and maintain monitoring, dashboards, and observability for production systems
- Drive code quality standards via reviews, CI/CD practices, and engineering best practices
- Lead estimations, planning, and iterative delivery in an Agile/Scrum process
- Mentor engineers, share knowledge, and build strong engineering culture within the team
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Posted in
Backend Development
Functional Area
Backend Development
Job Code
1635330