Java Technical Lead

Architect and lead the development of highly available Java microservices deployed on Google Cloud Platform
Own end-to-end system design, including API contracts, data consistency, scalability, and fault tolerance
Design and implement event-driven architectures using Pub/Sub and Kafka-based messaging platforms
Write, review, and optimize Java 8 / Java 11 code with strong focus on concurrency, performance, and correctness
Drive JVM tuning and performance optimization, including analysis and memory profiling in production
Lead containerized deployments using Docker and Google Kubernetes Engine (GKE)
Define and enforce distributed system guarantees, such as idempotency, retry strategies, ordering, and back-pressure handling
Design and manage CI/CD pipelines supporting zero-downtime deployments (blue-green, canary)
Collaborate with DevOps, Security, SRE, and Product teams to evolve platform architecture
Lead incident response, root cause analysis (RCA), and long-term remediation initiatives
Ensure systems meet security, compliance, and reliability standards, especially in regulated environments
Mentor senior engineers and serve as the technical escalation and decision authority

This role is for engineers who:
Still write complex Java code
Own architecture and failure modes
Have lived through production outages
Understand performance, scalability, security, and cost trade-offs
This is not a people-only or documentation-only lead role.

The candidate must have 10-15 years of hands-on experience in Java, with strong expertise in Java 8 and Java 11, including streams, concurrency, and the Java Memory Model.
Strong experience is required in J2EE fundamentals, along with extensive hands-on development using Spring Boot, Spring MVC, and Spring Security.
The candidate must have designed and implemented microservices architectures, applying enterprise and distributed system design patterns in real production environments.
Proven experience with Hibernate ORM and JPA is required, including performance tuning and transactional behavior.