Solution Architect

8 - 13 years

20 - 35 Lacs

Posted:1 hour ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Architect and govern enterprise-scale Java solutions, ensuring secure, resilient, and high-performance platforms. Translate strategic business objectives into robust technical designs leveraging Java/Spring Boot, microservices, and cloud-native patterns. Define and drive integration strategies (APIs, messaging, caching), cloud adoption (AWS/Azure/GCP), and database architectures (SQL/NoSQL) with production-grade reliability. Champion AI-enabled development by embedding LLM/RAG capabilities, model serving, MLOps, and prompt engineering into solutions, while enforcing best practices for security, observability, scalability, and cost optimization.

Accountability 1

  • Design and enforce microservices-based architectures with best practices for modularity, observability, resiliency, and maintainability.
  • Establish

    coding standards, design patterns, and quality gates

    for Java services (Clean Architecture, DDD, Hexagonal architecture).
  • Define and govern

    API-first

    integration strategies (REST, GraphQL where relevant) and

    event-driven

    messaging (Kafka/RabbitMQ).
  • Ensure

    enterprise-grade interoperability

    across internal systems and SaaS applications; drive schema evolution/versioning best practices.
  • Evaluate and recommend services on

    AWS (must)

    , Azure/GCP are a plus. Enable cloud-native patterns (autoscaling, serverless components, managed DBs).
  • Optimize for performance, security, reliability and

    total cost of ownership (TCO)

    . implement multi-region HA/DR where required.
  • Set and enforce guardrails for

    SSO

    (OAuth2/OIDC/SAML), secrets management, least-privilege access, and secure integration across internal/SaaS ecosystems.
  • Embed

    data protection

    (encryption at rest/in transit), threat modeling, and

    AI-specific privacy controls

    (prompt/response sanitization, content filters).
  • Drive

    CI/CD

    and automation for Java services and AI components; promote trunk-based development, blue/green/canary deployments.
  • Implement

    observability

    (logs, metrics, traces) via

    ELK/Graylog, Prometheus/Grafana, Jaeger/Zipkin

    ; integrate APM (New Relic/AppDynamics).
  • Review and validate solution designs, conduct architecture assessments pre-/post-go-live.
  • Maintain

    architectural documentation

    , decision logs, reusable patterns, and reference blueprints (including AI/RAG patterns).
  • Provide technical leadership, coach teams on architecture principles, coding standards, and design patterns. manage stakeholders effectively.
  • Integrate AI services and SDKs with Java microservices (e.g.,

    Azure OpenAI/OpenAI

    ,

    AWS Bedrock

    ,

    Vertex AI

    ,

    Azure ML/SageMaker

    endpoints) via

    REST/gRPC

    .
  • Define

    prompt engineering

    practices,

    evaluation frameworks

    (automatic + human-in-the-loop), guardrails, and

    Responsible AI

    guidelines (bias, privacy, toxicity filters, PII protection).

Accountability 2

  • Design trade-offs: scalability vs. cost, latency vs. consistency, build vs. buy (SaaS).
  • Operational excellence: CI/CD, observability, incident response, performance tuning.
  • Security & compliance: identity, data protection, threat modeling, posture in multi-tenant SaaS.
  • Stakeholder influence: cross-functional collaboration, governance, documentation, coaching.
  • Track key metrics: CPU/memory utilization, DB query latency, cache hit ratio, replication lag, and API response times.
  • Use Prometheus and Grafana for real-time metrics visualization and alerting.
  • Implement centralized logging using ELK stack or Graylog for microservices and database events.
  • Use distributed tracing tools like Jaeger or Zipkin to monitor service-to-service communication.
  • Enable database health checks and query performance dashboards using Grafana and Prometheus.
  • Implement distributed caching strategies using Redis or Memcached to reduce latency and improve application performance.
  • Leverage CDN-based caching for static content and edge optimization.
  • Design solutions leveraging cloud-native databases such as Amazon Aurora, DynamoDB.
  • Implement multi-region replication and automated failover for high availability and disaster recovery.

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