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Luxoft

Senior Backend Java Developer

Gurugram, Noida
via TheirStack9+ yrs

Posted today · First seen Oct 29 · seen live today · via TheirStack

Skills mentioned

pythonjavaangularnode.jsspringpostgresqlrestawsdockerterraformkafkaci/cd

The posting, as published

- **Mandatory Skills:** - AWS - Java - Microsoft 365 Copilot - PostgreSQL - **Mandatory Skills Description:**• 9+ years of professional backend experience with Java (Core Java, Collections/Concurrency, Streams, JVM internals). • Strong with Spring ecosystem (Spring Boot, Spring Data, Spring Security; understanding of Spring Cloud is a plus). • Proven expertise with PostgreSQL: indexing strategies, query tuning (EXPLAIN/ANALYZE), transactions/locking, isolation levels. • Hands on AWS experience: deploying and operating production services (at least 3 of ECS/EKS/Lambda, RDS/Aurora, S3, SQS/SNS/MSK/Kinesis, CloudWatch, IAM). • Solid API design (REST/gRPC), versioning, pagination, and backward compatibility. • Production grade observability (logs, metrics, tracing; OpenTelemetry, Prometheus/Grafana, or similar). • CI/CD with GitHub and GitHub Actions (branching strategies, code reviews, trunk based or GitFlow). • Practical use of GitHub Copilot (or similar AI coding assistants) to boost productivity while maintaining code quality. • Experience building fault tolerant distributed systems (circuit breakers, bulkheads, rate limiting; resilience patterns). • Proficiency with containerization (Docker) and infrastructure as code (Terraform/CloudFormationat least one). • Strong understanding of secure coding practices and common vulns (OWASP Top 10). • Excellent communication; ability to turn ambiguous requirements into actionable technical plans. - **Nice-to-Have Skills Description:**• Experience with Capital Markets, trading, market data, or financial analytics. • 5+ years of professional experience with Angular • Event streaming & messaging: Kafka, MSK, Kinesis, RabbitMQ. • Data modeling for auditable workflows, SLAs, and multi party approval processes. • Experience with multi tenant architectures and row level security. • Knowledge of domain-driven design (DDD) and CQRS patterns. • Experience with performance profiling (JFR, async-profiler) and JVM tuning (GC, heap, thread pools). • Exposure to Python and Node.js for tooling and automation. • Familiarity with feature flags (e.g., LaunchDarkly) and blue/green or canary deployments. • Compliance/controls mindset (audit trails, data lineage, segregation of duties).

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