🚀 Java Technical Lead

Infogain is seeking a hands-on Java Technical Lead to design and deliver high‑scale, low‑latency backend services. You’ll lead a small squad of engineers while coding daily across Java, Spring Boot, AWS, Kafka, and relational databases (RDS / SQL / PostgreSQL) . Experience with Apache Flink and/or AI/ML‑driven services is a strong plus.

What You’ll Do

• Own end‑to‑end architecture and delivery of cloud‑native backend services and APIs.
• Lead and mentor 4–8 engineers; drive code quality, reviews, and best practices.
• Design event‑driven and streaming solutions using Kafka (and Flink if applicable).
• Build resilient services with Spring Boot , integrating with AWS services (e.g., ECS/EKS, Lambda, SQS/SNS, MSK, RDS, Secrets Manager).
• Model, tune, and optimize PostgreSQL/SQL schemas, queries, and performance.
• Champion observability (logging, metrics, tracing) and reliability (circuit breakers, retries).
• Enforce security, compliance, and cost‑aware architectures on AWS.
• Collaborate with Product/PM/QA to define scope, delivery plans, and acceptance criteria.
• Drive CI/CD, testing strategies, and release readiness.

What You’ll Bring

• 8–12+ years of backend engineering experience, including 2–4+ years in a Tech Lead capacity.
• Expert‑level Java and Spring Boot (WebFlux, Data, Security) with production microservices.
• Strong AWS fundamentals and hands‑on with containerized workloads (Docker, ECS/EKS) and infra‑as‑code (Terraform/CloudFormation).
• Deep experience with Kafka (producers/consumers, partitions, schema, exactly‑once/at‑least‑once semantics).
• Proficiency with RDS/SQL/PostgreSQL : indexing, query tuning, migrations, and HA/DR patterns.
• Solid grounding in distributed systems: consistency, idempotency, backpressure, and failure modes.
• Track record of leading teams through design reviews, roadmaps, and iterative delivery.
• Excellent communication, stakeholder management, and mentoring skills.

Nice to Have

• Apache Flink (stateful stream processing, CEP, checkpoints, savepoints).
• AI/ML integration experience (feature services, vector DBs, model‑serving, or embedding retrieval in Java services).
• Reactive and asynchronous patterns (Project Reactor), and high‑throughput API gateways.
• Security/compliance exposure (OAuth2/OIDC, Secrets rotation, PCI/PII, SOC2).
• Performance engineering (JMH, Gatling/k6), chaos/resilience testing.

How We Work

• Pragmatic engineering culture focused on measurable outcomes.
• Code ownership, pair reviews, and “you build it, you run it” mindset.
• Modern CI/CD pipelines, infrastructure automation, and strong observability.

Education

• Bachelor’s or Master’s in Computer Science, Engineering, or related field (or equivalent experience).