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Solution Architect

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Summary

Java Solution Architect who leads the architecture, design, and implementation of cloud-native microservices enterprise applications, translating business requirements into blueprints and guiding teams on containers, CI/CD, and observability. Core stack: Java 11+, Spring Boot, AWS/Azure/GCP, Docker/Kubernetes, Kafka, and DevSecOps toolchains.

Java Solution Architect with 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.


Key Responsibilities

  • 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, OpenTelemetry, Jaeger, Zipkin, or Dynatrace.
  • Stay current with emerging trends and evaluate their potential impact on architecture strategy.


Requirements

Technical Skills & 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.


Skills

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See also

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