Senior Backend Engineer – Distributed Systems

At

, we are building a high-performance AI recruiting platform that processes massive datasets, orchestrates event-driven workflows, and powers intelligent automation at scale. Our backend is built on

Java + Spring microservices , and our distributed architecture includes: Kafka AWS SQS Redis Redshift AWS Lambda Core AWS services SQL Server React frontend (Bonus: Apache Camel) We’re looking for a

Senior Backend Engineer

who has real-world experience designing and operating distributed systems — not just using microservices, but understanding how they behave under production load. This role is for someone who has solved hard distributed systems problems and enjoys building infrastructure that scales. What You’ll Own Design and build distributed microservices using

Java + Spring Boot Architect event-driven systems using

Kafka and SQS Build reliable asynchronous workflows across services Design fault-tolerant processing pipelines Optimize data flows between operational DBs and

Redshift Use

Redis

strategically for caching and performance optimization Implement scalable serverless components with

AWS Lambda Improve system resilience, latency, and throughput Lead architectural decisions around service communication and data consistency Drive engineering best practices and conduct deep code reviews What We Care About Most Extensive experience building distributed applications. You should deeply understand: Event-driven architecture Message brokers (Kafka, SQS) Distributed transactions & eventual consistency Idempotency patterns Retry and dead-letter queue strategies Concurrency and race conditions Backpressure handling Horizontal scaling patterns System observability and debugging under load Tradeoffs in consistency vs availability (CAP theorem) If you’ve never debugged production issues in a distributed system, this role likely isn’t the right fit. Required Skills 7+ years of backend engineering experience Strong expertise in

Java Deep hands-on experience with

Spring / Spring Boot Real production experience with

Kafka Experience with

AWS services

(Lambda, SQS, etc.) Strong SQL skills (we use SQL Server) Experience building high-throughput systems ⭐ Strong Plus Experience with

Apache Camel

(integration patterns, routing, message transformation) Experience with

Redis

in distributed caching scenarios Experience designing ETL pipelines into

Redshift Experience scaling systems handling large data volumes Startup experience (high ownership, fast iteration) Experience working closely with frontend teams (React)