Accountability 1

<ul>
<li style="margin-left:0px;">Design and enforce microservices-based architectures with best practices for modularity, observability, resiliency, and maintainability. </li>
</ul>

<ul>
<li style="margin-left:0px;">Establish coding standards, design patterns, and quality gates for Java services (Clean Architecture, DDD, Hexagonal architecture). </li>
</ul>

<ul>
<li style="margin-left:0px;">Define and govern API-first integration strategies (REST, GraphQL where relevant) and event-driven messaging (Kafka/RabbitMQ).</li>
</ul>

<ul>
<li style="margin-left:0px;">Ensure enterprise-grade interoperability across internal systems and SaaS applications; drive schema evolution/versioning best practices.</li>
</ul>

<ul>
<li style="margin-left:0px;">Evaluate and recommend services on AWS (must), Azure/GCP are a plus. Enable cloud-native patterns (autoscaling, serverless components, managed DBs).</li>
</ul>

<ul>
<li style="margin-left:0px;">Optimize for performance, security, reliability and total cost of ownership (TCO). implement multi-region HA/DR where required.</li>
</ul>

<ul>
<li style="margin-left:0px;">Set and enforce guardrails for SSO (OAuth2/OIDC/SAML), secrets management, least-privilege access, and secure integration across internal/SaaS ecosystems.</li>
</ul>

<ul>
<li style="margin-left:0px;">Embed data protection (encryption at rest/in transit), threat modeling, and AI-specific privacy controls (prompt/response sanitization, content filters).</li>
</ul>

<ul>
<li style="margin-left:0px;">Drive CI/CD and automation for Java services and AI components; promote trunk-based development, blue/green/canary deployments.</li>
</ul>

<ul>
<li style="margin-left:0px;">Implement observability (logs, metrics, traces) via ELK/Graylog, Prometheus/Grafana, Jaeger/Zipkin; integrate APM (New Relic/AppDynamics).</li>
</ul>

<ul>
<li style="margin-left:0px;">Review and validate solution designs, conduct architecture assessments pre-/post-go-live.</li>
</ul>

<ul>
<li style="margin-left:0px;">Maintain architectural documentation, decision logs, reusable patterns, and reference blueprints (including AI/RAG patterns).</li>
</ul>

<ul>
<li style="margin-left:0px;">Provide technical leadership, coach teams on architecture principles, coding standards, and design patterns. manage stakeholders effectively. </li>
</ul>

<ul>
<li style="margin-left:0px;">Integrate AI services and SDKs with Java microservices (e.g., Azure OpenAI/OpenAI, AWS Bedrock, Vertex AI, Azure ML/SageMaker endpoints) via REST/gRPC.</li>
</ul>

<ul>
<li style="margin-left:0px;">Define prompt engineering practices, evaluation frameworks (automatic &amp;#43; human-in-the-loop), guardrails, and Responsible AI guidelines (bias, privacy, toxicity filters, PII protection).</li>
</ul>
 
Accountability 2

<ul>
<li style="margin-left:0px;">Design trade-offs: scalability vs. cost, latency vs. consistency, build vs. buy (SaaS).</li>
</ul>

<ul>
<li style="margin-left:0px;">Operational excellence: CI/CD, observability, incident response, performance tuning.</li>
</ul>

<ul>
<li style="margin-left:0px;">Security &amp; compliance: identity, data protection, threat modeling, posture in multi-tenant SaaS.</li>
</ul>

<ul>
<li style="margin-left:0px;">Stakeholder influence: cross-functional collaboration, governance, documentation, coaching.</li>
</ul>

<ul>
<li style="margin-left:0px;">Track key metrics: CPU/memory utilization, DB query latency, cache hit ratio, replication lag, and API response times.</li>
</ul>

<ul>
<li style="margin-left:0px;">Use Prometheus and Grafana for real-time metrics visualization and alerting.</li>
</ul>

<ul>
<li style="margin-left:0px;">Implement centralized logging using ELK stack or Graylog for microservices and database events.</li>
</ul>

<ul>
<li style="margin-left:0px;">Use distributed tracing tools like Jaeger or Zipkin to monitor service-to-service communication.</li>
</ul>

<ul>
<li style="margin-left:0px;">Enable database health checks and query performance dashboards using Grafana and Prometheus.</li>
</ul>

<ul>
<li style="margin-left:0px;">Implement distributed caching strategies using Redis or Memcached to reduce latency and improve application performance.</li>
</ul>

<ul>
<li style="margin-left:0px;">Leverage CDN-based caching for static content and edge optimization.</li>
</ul>

<ul>
<li style="margin-left:0px;">Design solutions leveraging cloud-native databases such as Amazon Aurora, DynamoDB.</li>
</ul>

<ul>
<li style="margin-left:0px;">Implement multi-region replication and automated failover for high availability and disaster recovery. </li>
</ul>

Solution Architect

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 &amp;#43; 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 &amp; 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.

Solution Architect in Noida

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Job Description for Solution Architect

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