Job Summary

Modernization project for the core business systems of a major US airline.

Responsibilities

- Design and implement a rules engine in Java 17+ that evaluates events against parameterized, effective-dated rules
- Implement rules as code: versioned, parameterized, valid for defined effective-date ranges, with a explicit explanation of every evaluation result
- Build robust date and time logic: time zones, DST transitions, rolling windows, and cumulative limits
- Develop event-driven services on Kafka (Amazon MSK) that consume events, evaluate rules, and publish alerts, with guaranteed ordering, idempotency, and replay
- Work with the rule and parameter repository and cumulative-limit state in PostgreSQL (Aurora), together with data engineers
- Write clean, testable domain code with thorough automated tests of rule behavior
- Build services that handle high, bursty volume (over 1M checks per day)
- Support parallel runs and parity checks against the legacy system
- Instrument services with metrics, tracing, and structured logs, and work with DevOps on deployment to AWS

Skills

Must have

- 5+ years of commercial backend development in Java with hands-on use of Java 17+ features (records; sealed interfaces; pattern matching; switch expressions)
- Strong domain modeling skills; keeping business logic clean; testable; separation from infrastructure (DDD / hexagonal architecture)
- Expert knowledge of java.time
- Instant vs.



ZonedDateTime vs. LocalDateTime
- Time zones and DST transitions
- Duration and Period arithmetic
- Interval and rolling-window calculations
- Proven experience implementing complex business rules directly in code (not by configuring a commercial BRMS such as IBM ODM; FICO Blaze; or Pega)
- Parameterized and effective-dated rules

Nice to have
- Temporal and versioned data modeling in PostgreSQL/Aurora: effective-date ranges (range types, exclusion constraints), bitemporal models
- Running Java services on AWS: ECS Fargate, Lambda, API Gateway, plus working knowledge of IAM, Secrets Manager, and KMS
- DynamoDB, and ElastiCache (Redis/Valkey) for caching
- Observability: Micrometer and/or OpenTelemetry, distributed tracing, structured logging, latency percentiles (p95/p99)
- High-volume, low-latency services: bursty load, back-pressure, concurrency, JVM performance tuning
- Embedded expression languages and runtime configuration (changing rule parameters without redeployment)
- Familiarity with S3, Athena, Glue, or Firehose for reporting pipelines
- Legacy system replacement: parallel runs, parity and accuracy validation
- Domain experience in crew or workforce scheduling, or in duty and rest time compliance

Other

Languages

English: B2 Upper Intermediate

Seniority

Senior

Location - Pune,Mumbai,Chennai,Banagalore

📌 Senior Java developer (Chennai)
🏢 Luxoft India
📍 Chennai