What are the responsibilities and job description for the Java Technical Lead position at Infogain?
About the Role
Full-time with Infogain
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).
