Java Solution Architect

Role Summary :

We are looking for a hands-on Java Solution Architect to design and lead scalable, secure, event-driven platforms. The ideal candidate has deep expertise in Java/Spring Boot microservices, Kafka, Redis/KeyDB, and open-source databases (Cassandra, PostgreSQL), with experience building high-throughput, low-latency systems.

Key Responsibilities :Architecture & Design :

• Define service boundaries using DDD; create service contracts and API specifications.

• Design Kafka-based event flows (topics, partitions, retention, DLQs, idempotency).

• Choose fit-for-purpose storage (Cassandra vs PostgreSQL) for workloads :

• Cassandra for time-series, high write throughput, and horizontal scaling.

• PostgreSQL for transactional integrity, complex joins, and reporting.

• Engineer caching strategies using Redis/KeyDB (read-through/write-through, TTL, eviction).

• Establish NFRs (performance, availability, RPO/RTO) and capacity planning.

Security & Compliance :

• Implement OAuth2/OIDC, mTLS, token-based auth, key rotation, encryption at rest/in transit.

• Work with InfoSec/AppSec for threat modeling, VAPT, secure SDLC integration.

DevOps & Observability :

• Drive CI/CD pipelines (blue/green/canary), container orchestration (Kubernetes).

• Define SLOs/SLIs; implement metrics, logs, traces; promote proactive alerting.

Governance & Standards :

• Publish architecture guidelines, coding standards, and API governance (versioning, deprecation).

• Champion documentation (ADR, sequence diagrams, data flow, runbooks).

Mentoring & Leadership :

• Coach engineers; conduct design/code reviews; lead PoCs and migrations.

• Collaborate with Product/Delivery to align scope, timelines, and risk mitigation.

Required Technical Skills (Deep Expertise) :

• Java : Java 17+, Spring Boot, Spring Cloud, reactive programming (WebFlux).

• Microservices : API Gateway, service mesh (Istio/Linkerd), resilience (Resilience4j).

• Kafka : Kafka Connect, Streams, consumer lag management, schema registry (Avro/JSON).

• Redis/KeyDB : Cluster configuration, HA, persistence (AOF/RDB), pub/sub and streams.

• Databases :

• Cassandra : Data modeling (partition keys, clustering), consistency levels, compaction strategies.

• PostgreSQL : Indexing strategies, partitioning, query planning, isolation levels, VACUUM.