We are seeking a Java Solution Architect with 12+ years of deep expertise in modern application architecture, including cloud-native design, microservices, and DevSecOps practices. The ideal candidate will be a strategic thinker and hands-on technologist who can architect scalable, resilient and observable enterprise systems using Java and related ecosystems.
Responsibilities
Minimum 5 Years of experience in Java 11, Microservice, Spring boot and any cloud (Azure & GCP)
Lead the architecture, design and implementation of modern Java-based applications using microservices and cloud-native patterns.
Evaluate business requirements and translate them into architectural blueprints aligned with enterprise standards.
Drive adoption of best practices in scalability, performance, security, and observability across the application lifecycle.
Collaborate with cross-functional teams including developers, DevOps, QA, and business stakeholders to deliver end-to-end solutions.
Provide architectural governance and technical leadership across projects.
Define and implement API-first strategies using REST, GraphQL, or event-driven patterns.
Conduct architecture assessments, PoCs, and technology evaluations for new initiatives.
Guide development teams on using containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines.
Set up and manage observability frameworks using tools like Prometheus, Grafana, ELK stack, Open Telemetry, Jaeger, Zipkin, or Dynatrace.
Stay current with emerging trends and evaluate their potential impact on architecture strategy.
Requirements
Strong expertise in Java 11+, Spring Boot, and microservices architecture.
Experience with at least one major cloud platform: AWS, Azure, or GCP.
Hands-on with containerization (Docker), orchestration (Kubernetes, ECS/EKS, AKS, GKE).
Familiarity with API Gateways, service mesh technologies like Istio or Linkerd.
Strong understanding of RESTful APIs, GraphQL, gRPC, and asynchronous messaging systems (Kafka, RabbitMQ).
Exposure to NoSQL (MongoDB, Cassandra), SQL databases, and data modelling for distributed systems.
Proven ability to design for resilience, scalability, and observability.
Experience with DevOps toolchains Jenkins, GitOps, ArgoCD, Terraform, etc.
Strong grip on logging, tracing, and metrics collection using observability tools.
