Staff Engineer - Backend (E-Commerce Engineering)
Coupang · Bengaluru · 10–13 yrs experience · Posted 2026-07-18
Tech stack: Cassandra, Java, Kafka, Spring Boot, Spring, Backend
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About the role
Responsibilities:
- As a Staff Engineer, you will operate at a group-level scope, driving technical strategy, leading architecture decisions, and influencing cross-functional teams across engineering, product, and data science.
- Own the fraud detection domain end-to-end, covering both technical systems and business impact
- Deep dive into platform architecture and drive critical reliability improvements, including circuit breakers, dead-letter queue (DLQ) strategies, and robust failure handling mechanisms
- Build and drive strong cross-functional alignment across engineering, product, and partner teams
- Define, lead, and deliver group-level OKRs with measurable impact
- Lead architecture design and review (AR) processes from proposal and alignment through to execution
- Develop and execute multi-quarter technical roadmaps, including platform extensibility, legacy modernization, and ML-readiness with model integration
- Identify systemic bottlenecks and drive org-wide initiatives to resolve them
- Act as a bar raiser for engineering excellence by leading design reviews, mentoring senior engineers, and elevating engineering standards and best practices
Qualifications:
- 10-13 years of backend engineering experience with Java and Spring Boot
- Strong experience building and scaling large-scale distributed systems
- Hands-on expertise with Kafka, stream processing frameworks (Apache Flink or Kafka Streams), and Cassandra or similar NoSQL systems
- Proven track record of defining technical strategy and roadmaps, leading architecture reviews (AR), and delivering on group-level OKRs
- Demonstrated ability to identify and solve systemic engineering challenges and drive alignment across cross-functional stakeholders
- Strong leadership in design reviews, mentoring senior engineers, and raising engineering quality standards.
- Preferred
- Experience in fraud detection, trust & safety, or abuse prevention systems.
- Exposure to ML pipelines and real-time decision systems.
- Familiarity with graph databases (Neo4j), rule engines (Drools/MVEL), and data privacy/PII compliance systems.
- Hybrid / Onsite / Remote working
Qualifications
- 10-13 years of backend engineering experience with Java and Spring Boot
- Strong experience building and scaling large-scale distributed systems
- Hands-on expertise with Kafka, stream processing frameworks (Apache Flink or Kafka Streams), and Cassandra or similar NoSQL systems
- Proven track record of defining technical strategy and roadmaps, leading architecture reviews (AR), and delivering on group-level OKRs
- Demonstrated ability to identify and solve systemic engineering challenges and drive alignment across cross-functional stakeholders
- Strong leadership in design reviews, mentoring senior engineers, and raising engineering quality standards.
- Experience in fraud detection, trust & safety, or abuse prevention systems.
- Exposure to ML pipelines and real-time decision systems.
- Familiarity with graph databases (Neo4j), rule engines (Drools/MVEL), and data privacy/PII compliance systems.
- Hybrid / Onsite / Remote working
Responsibilities
- As a Staff Engineer, you will operate at a group-level scope
- driving technical strategy, leading architecture decisions, and influencing cross-functional teams across engineering, product, and data science.
- Own the fraud detection domain end-to-end, covering both technical systems and business impact
- Deep dive into platform architecture and drive critical reliability improvements, including circuit breakers, dead-letter queue (DLQ) strategies, and robust failure handling mechanisms
- Build and drive strong cross-functional alignment across engineering, product, and partner teams
- Define, lead, and deliver group-level OKRs with measurable impact
- Lead architecture design and review (AR) processes from proposal and alignment through to execution
- Develop and execute multi-quarter technical roadmaps, including platform extensibility, legacy modernization, and ML-readiness with model integration
- Identify systemic bottlenecks and drive org-wide initiatives to resolve them
- Act as a bar raiser for engineering excellence by leading design reviews, mentoring senior engineers, and elevating engineering standards and best practices