We are seeking a highly skilled and experienced DevOps Leader with a strong background in Kubernetes , Docker , Linux , and modern DevOps tooling. Candidate should have experience in designing, implementing, and managing scalable, secure, and automated infrastructure solutions. This role involves ensuring the seamless integration of development and operational processes, playing a crucial part in the implementation and managing infrastructure, orchestrating containers, and monitoring systems. Roles and Responsibilities Required Skills and Experience: Hands-on expertise in Kubernetes in production environments, including managing and scaling clusters. Understanding of AI Models and it’s deployment on Kubernetes Hands-on working experience in Kustomize Extensive knowledge of Docker for building, deploying, and managing containers. Strong experience with Linux systems administration (Red Hat, Ubuntu, CentOS). Ensure code quality and security with tools like SonarQube etc. Good to have skill in CI/CD tools such as Jenkins, GitLab CI or similar Monitoring and logging solutions (Prometheus, Grafana, ELK Stack, etc.). Strong understanding of networking, security best practices, and cloud-based security solutions. Hands-on experience with scripting and automation tools like Bash, Python Experience with Git or other version control systems. Role & Responsibilities: Design and implement DevOps solutions that automate software delivery pipelines and infrastructure provisioning. Maintain scalable Kubernetes clusters to manage containerized applications across multiple environments. Leverage Docker to build, deploy, and manage containerized applications in development, staging, and production environments. Optimize and secure Linux-based environments for application performance, reliability, and security. Collaborate with development teams to implement pipelines using tools like Jenkins, FluxCD, ArgoCD or similar. Monitor, troubleshoot, and improve system performance, security, and availability through effective monitoring and logging solutions (e.g., Prometheus, Grafana, ELK Stack). Hands on experience on any configuration management, deployment tools and system provisioning tools Implement security best practices and compliance measures, including secrets management, network segmentation, and vulnerability scanning. Troubleshooting, problem-solving, and analytical skills. Mentor and guide junior DevOps engineers and promote best practices in DevOps, automation. Stay up to date with industry trends and evolving DevOps tools and technologies to continuously improve systems and processes.
Indore, Madhya Pradesh, India;Noida, Uttar Pradesh, India Qualification : Enterprise Integration Architect – PaaS Services Role Summary The Enterprise Integration Architect will own the end-to-end integration strategy and architecture across PaaS services—enabling secure, scalable, and observable connectivity among applications, data platforms, and external ecosystems. This role spans API-led integration, event-driven architectures, messaging & streaming, CI/CD enablement, platform governance, and zero-trust security across multi-cloud/hybrid environments. Key Responsibilities Architecture & Design Define enterprise integration reference architecture covering API, event, and data integration patterns (synchronous/asynchronous, pub/sub, CQRS, Saga/Orchestration/Choreography). Architect integration solutions for PaaS services (containers, serverless, managed DBs, messaging, streaming, iPaaS, API gateways) across multi-cloud/hybrid / private-cloud environments. Establish canonical data models, integration contracts, and versioning strategies; enforce standards via architecture reviews. Drive API-first strategy: REST/GraphQL/gRPC, gateway policies, developer portal, API lifecycle management. Lead designs for real-time streaming (Kafka/Confluent), event mesh (NATS/RabbitMQ), and integration pipelines (ETL/ELT) for data platforms. Security, Compliance & Governance Implement zero-trust integration: mTLS, OAuth2/OIDC, token lifecycle, secrets management (e.g., KMS/Key Vault), and policy-as-code. Define and enforce data protection, PII handling, encryption (at-rest/in-transit), auditability, and compliance (ISO 27001, SOC 2, GDPR, PCI, HIPAA as applicable). Establish API & integration governance: design guides, naming/versioning, discoverability, SLAs/SLOs, and RBAC/ABAC. Delivery, Enablement & Leadership Lead architecture roadmaps, reference implementations, and guardrails; guide solution architects and squads. Collaborate with DevOps/SRE on CI/CD, infra-as-code (Terraform), GitOps, and automated policy enforcement. Review designs/code for integration quality; steer platform onboarding and developer experience (DX) improvements. Partner with Security, Data, and Product teams to align integration capabilities with business outcomes. Required Skills & Experience 10–15+ years in software/integration architecture; 5+ years in cloud-native PaaS. Deep expertise in API platforms (Azure API Management, AWS API Gateway, Apigee, Kong), iPaaS (MuleSoft/Boomi), and event/streaming (Kafka/Confluent, RabbitMQ). Strong in microservices, DDD, event-driven patterns, sagas, orchestration/choreography, state management, and transaction boundaries. Hands-on with containers & orchestration (Docker, Kubernetes), and service mesh (Istio/Linkerd). Proficient in security: OAuth2/OIDC, JWT, mTLS, secrets mgmt (Key Vault/KMS), policy-as-code (OPA), and cloud-native IAM. Infra-as-code & automation (Terraform, Helm, ArgoCD/GitOps), CI/CD (Azure DevOps/GitHub Actions/Jenkins). Observability stack: OpenTelemetry, Prometheus/Grafana, ELK/ELK-like, distributed tracing. Data integration: CDC, event sourcing, ETL/ELT tools, integration with data lakes/warehouses. Excellent stakeholder management, documentation, and solution leadership. Experience : 10 to 15 years Job Reference Number : 13519 Skills Required : PaaS Architecture, API, Kafka, Microservices, Docker , Kubernetes Role : Enterprise Integration Architect – PaaS Services Role Summary The Enterprise Integration Architect will own the end-to-end integration strategy and architecture across PaaS services—enabling secure, scalable, and observable connectivity among applications, data platforms, and external ecosystems. This role spans API-led integration, event-driven architectures, messaging & streaming, CI/CD enablement, platform governance, and zero-trust security across multi-cloud/hybrid environments. Key Responsibilities Architecture & Design Define enterprise integration reference architecture covering API, event, and data integration patterns (synchronous/asynchronous, pub/sub, CQRS, Saga/Orchestration/Choreography). Architect integration solutions for PaaS services (containers, serverless, managed DBs, messaging, streaming, iPaaS, API gateways) across multi-cloud/hybrid / private-cloud environments. Establish canonical data models, integration contracts, and versioning strategies; enforce standards via architecture reviews. Drive API-first strategy: REST/GraphQL/gRPC, gateway policies, developer portal, API lifecycle management. Lead designs for real-time streaming (Kafka/Confluent), event mesh (NATS/RabbitMQ), and integration pipelines (ETL/ELT) for data platforms. Security, Compliance & Governance Implement zero-trust integration: mTLS, OAuth2/OIDC, token lifecycle, secrets management (e.g., KMS/Key Vault), and policy-as-code. Define and enforce data protection, PII handling, encryption (at-rest/in-transit), auditability, and compliance (ISO 27001, SOC 2, GDPR, PCI, HIPAA as applicable). Establish API & integration governance: design guides, naming/versioning, discoverability, SLAs/SLOs, and RBAC/ABAC. Delivery, Enablement & Leadership Lead architecture roadmaps, reference implementations, and guardrails; guide solution architects and squads. Collaborate with DevOps/SRE on CI/CD, infra-as-code (Terraform), GitOps, and automated policy enforcement. Review designs/code for integration quality; steer platform onboarding and developer experience (DX) improvements. Partner with Security, Data, and Product teams to align integration capabilities with business outcomes. Required Skills & Experience 10–15+ years in software/integration architecture; 5+ years in cloud-native PaaS. Deep expertise in API platforms (Azure API Management, AWS API Gateway, Apigee, Kong), iPaaS (MuleSoft/Boomi), and event/streaming (Kafka/Confluent, RabbitMQ). Strong in microservices, DDD, event-driven patterns, sagas, orchestration/choreography, state management, and transaction boundaries. Hands-on with containers & orchestration (Docker, Kubernetes), and service mesh (Istio/Linkerd). Proficient in security: OAuth2/OIDC, JWT, mTLS, secrets mgmt (Key Vault/KMS), policy-as-code (OPA), and cloud-native IAM. Infra-as-code & automation (Terraform, Helm, ArgoCD/GitOps), CI/CD (Azure DevOps/GitHub Actions/Jenkins). Observability stack: OpenTelemetry, Prometheus/Grafana, ELK/ELK-like, distributed tracing. Data integration: CDC, event sourcing, ETL/ELT tools, integration with data lakes/warehouses. Excellent stakeholder management, documentation, and solution leadership.
Indore, Madhya Pradesh, India;Noida, Uttar Pradesh, India Qualification : Enterprise Integration Architect – PaaS Services Role Summary The Enterprise Integration Architect will own the end-to-end integration strategy and architecture across PaaS services—enabling secure, scalable, and observable connectivity among applications, data platforms, and external ecosystems. This role spans API-led integration, event-driven architectures, messaging & streaming, CI/CD enablement, platform governance, and zero-trust security across multi-cloud/hybrid environments. Key Responsibilities Architecture & Design Define enterprise integration reference architecture covering API, event, and data integration patterns (synchronous/asynchronous, pub/sub, CQRS, Saga/Orchestration/Choreography). Architect integration solutions for PaaS services (containers, serverless, managed DBs, messaging, streaming, iPaaS, API gateways) across multi-cloud/hybrid / private-cloud environments. Establish canonical data models, integration contracts, and versioning strategies; enforce standards via architecture reviews. Drive API-first strategy: REST/GraphQL/gRPC, gateway policies, developer portal, API lifecycle management. Lead designs for real-time streaming (Kafka/Confluent), event mesh (NATS/RabbitMQ), and integration pipelines (ETL/ELT) for data platforms. Security, Compliance & Governance Implement zero-trust integration: mTLS, OAuth2/OIDC, token lifecycle, secrets management (e.g., KMS/Key Vault), and policy-as-code. Define and enforce data protection, PII handling, encryption (at-rest/in-transit), auditability, and compliance (ISO 27001, SOC 2, GDPR, PCI, HIPAA as applicable). Establish API & integration governance: design guides, naming/versioning, discoverability, SLAs/SLOs, and RBAC/ABAC. Delivery, Enablement & Leadership Lead architecture roadmaps, reference implementations, and guardrails; guide solution architects and squads. Collaborate with DevOps/SRE on CI/CD, infra-as-code (Terraform), GitOps, and automated policy enforcement. Review designs/code for integration quality; steer platform onboarding and developer experience (DX) improvements. Partner with Security, Data, and Product teams to align integration capabilities with business outcomes. Required Skills & Experience 10–15+ years in software/integration architecture; 5+ years in cloud-native PaaS. Deep expertise in API platforms (Azure API Management, AWS API Gateway, Apigee, Kong), iPaaS (MuleSoft/Boomi), and event/streaming (Kafka/Confluent, RabbitMQ). Strong in microservices, DDD, event-driven patterns, sagas, orchestration/choreography, state management, and transaction boundaries. Hands-on with containers & orchestration (Docker, Kubernetes), and service mesh (Istio/Linkerd). Proficient in security: OAuth2/OIDC, JWT, mTLS, secrets mgmt (Key Vault/KMS), policy-as-code (OPA), and cloud-native IAM. Infra-as-code & automation (Terraform, Helm, ArgoCD/GitOps), CI/CD (Azure DevOps/GitHub Actions/Jenkins). Observability stack: OpenTelemetry, Prometheus/Grafana, ELK/ELK-like, distributed tracing. Data integration: CDC, event sourcing, ETL/ELT tools, integration with data lakes/warehouses. Excellent stakeholder management, documentation, and solution leadership. Experience : 10 to 15 years Job Reference Number : 13519 Skills Required : PaaS Architecture, API, Kafka, Microservices, Docker , Kubernetes Role : Enterprise Integration Architect – PaaS Services Role Summary The Enterprise Integration Architect will own the end-to-end integration strategy and architecture across PaaS services—enabling secure, scalable, and observable connectivity among applications, data platforms, and external ecosystems. This role spans API-led integration, event-driven architectures, messaging & streaming, CI/CD enablement, platform governance, and zero-trust security across multi-cloud/hybrid environments. Key Responsibilities Architecture & Design Define enterprise integration reference architecture covering API, event, and data integration patterns (synchronous/asynchronous, pub/sub, CQRS, Saga/Orchestration/Choreography). Architect integration solutions for PaaS services (containers, serverless, managed DBs, messaging, streaming, iPaaS, API gateways) across multi-cloud/hybrid / private-cloud environments. Establish canonical data models, integration contracts, and versioning strategies; enforce standards via architecture reviews. Drive API-first strategy: REST/GraphQL/gRPC, gateway policies, developer portal, API lifecycle management. Lead designs for real-time streaming (Kafka/Confluent), event mesh (NATS/RabbitMQ), and integration pipelines (ETL/ELT) for data platforms. Security, Compliance & Governance Implement zero-trust integration: mTLS, OAuth2/OIDC, token lifecycle, secrets management (e.g., KMS/Key Vault), and policy-as-code. Define and enforce data protection, PII handling, encryption (at-rest/in-transit), auditability, and compliance (ISO 27001, SOC 2, GDPR, PCI, HIPAA as applicable). Establish API & integration governance: design guides, naming/versioning, discoverability, SLAs/SLOs, and RBAC/ABAC. Delivery, Enablement & Leadership Lead architecture roadmaps, reference implementations, and guardrails; guide solution architects and squads. Collaborate with DevOps/SRE on CI/CD, infra-as-code (Terraform), GitOps, and automated policy enforcement. Review designs/code for integration quality; steer platform onboarding and developer experience (DX) improvements. Partner with Security, Data, and Product teams to align integration capabilities with business outcomes. Required Skills & Experience 10–15+ years in software/integration architecture; 5+ years in cloud-native PaaS. Deep expertise in API platforms (Azure API Management, AWS API Gateway, Apigee, Kong), iPaaS (MuleSoft/Boomi), and event/streaming (Kafka/Confluent, RabbitMQ). Strong in microservices, DDD, event-driven patterns, sagas, orchestration/choreography, state management, and transaction boundaries. Hands-on with containers & orchestration (Docker, Kubernetes), and service mesh (Istio/Linkerd). Proficient in security: OAuth2/OIDC, JWT, mTLS, secrets mgmt (Key Vault/KMS), policy-as-code (OPA), and cloud-native IAM. Infra-as-code & automation (Terraform, Helm, ArgoCD/GitOps), CI/CD (Azure DevOps/GitHub Actions/Jenkins). Observability stack: OpenTelemetry, Prometheus/Grafana, ELK/ELK-like, distributed tracing. Data integration: CDC, event sourcing, ETL/ELT tools, integration with data lakes/warehouses. Excellent stakeholder management, documentation, and solution leadership.
Enterprise Integration Architect – PaaS Services Role Summary The Enterprise Integration Architect will own the end-to-end integration strategy and architecture across PaaS services—enabling secure, scalable, and observable connectivity among applications, data platforms, and external ecosystems. This role spans API-led integration, event-driven architectures, messaging & streaming, CI/CD enablement, platform governance, and zero-trust security across multi-cloud/hybrid environments. Key Responsibilities Architecture & Design Define enterprise integration reference architecture covering API, event, and data integration patterns (synchronous/asynchronous, pub/sub, CQRS, Saga/Orchestration/Choreography). Architect integration solutions for PaaS services (containers, serverless, managed DBs, messaging, streaming, iPaaS, API gateways) across multi-cloud/hybrid / private-cloud environments. Establish canonical data models , integration contracts , and versioning strategies ; enforce standards via architecture reviews. Drive API-first strategy: REST/GraphQL/gRPC, gateway policies, developer portal, API lifecycle management. Lead designs for real-time streaming (Kafka/Confluent), event mesh (NATS/RabbitMQ), and integration pipelines (ETL/ELT) for data platforms. Security, Compliance & Governance Implement zero-trust integration : mTLS, OAuth2/OIDC, token lifecycle, secrets management (e.g., KMS/Key Vault), and policy-as-code. Define and enforce data protection , PII handling , encryption (at-rest/in-transit) , auditability , and compliance (ISO 27001, SOC 2, GDPR, PCI, HIPAA as applicable). Establish API & integration governance : design guides, naming/versioning, discoverability, SLAs/SLOs, and RBAC/ABAC. Delivery, Enablement & Leadership Lead architecture roadmaps , reference implementations , and guardrails ; guide solution architects and squads. Collaborate with DevOps/SRE on CI/CD, infra-as-code (Terraform), GitOps, and automated policy enforcement. Review designs/code for integration quality; steer platform onboarding and developer experience (DX) improvements. Partner with Security, Data, and Product teams to align integration capabilities with business outcomes. Required Skills & Experience 10–15+ years in software/integration architecture; 5+ years in cloud-native PaaS. Deep expertise in API platforms (Azure API Management, AWS API Gateway, Apigee, Kong), iPaaS (MuleSoft/Boomi), and event/streaming (Kafka/Confluent, RabbitMQ). Strong in microservices , DDD , event-driven patterns, sagas , orchestration/choreography , state management , and transaction boundaries . Hands-on with containers & orchestration (Docker, Kubernetes), and service mesh (Istio/Linkerd). Proficient in security : OAuth2/OIDC, JWT, mTLS, secrets mgmt (Key Vault/KMS), policy-as-code (OPA), and cloud-native IAM . Infra-as-code & automation ( Terraform , Helm, ArgoCD/GitOps), CI/CD (Azure DevOps/GitHub Actions/Jenkins). Observability stack: OpenTelemetry , Prometheus/Grafana, ELK/ELK-like, distributed tracing. Data integration: CDC, event sourcing, ETL/ELT tools, integration with data lakes/warehouses. Excellent stakeholder management , documentation , and solution leadership . Roles and Responsibilities Enterprise Integration Architect – PaaS Services Role Summary The Enterprise Integration Architect will own the end-to-end integration strategy and architecture across PaaS services—enabling secure, scalable, and observable connectivity among applications, data platforms, and external ecosystems. This role spans API-led integration, event-driven architectures, messaging & streaming, CI/CD enablement, platform governance, and zero-trust security across multi-cloud/hybrid environments. Key Responsibilities Architecture & Design Define enterprise integration reference architecture covering API, event, and data integration patterns (synchronous/asynchronous, pub/sub, CQRS, Saga/Orchestration/Choreography). Architect integration solutions for PaaS services (containers, serverless, managed DBs, messaging, streaming, iPaaS, API gateways) across multi-cloud/hybrid / private-cloud environments. Establish canonical data models , integration contracts , and versioning strategies ; enforce standards via architecture reviews. Drive API-first strategy: REST/GraphQL/gRPC, gateway policies, developer portal, API lifecycle management. Lead designs for real-time streaming (Kafka/Confluent), event mesh (NATS/RabbitMQ), and integration pipelines (ETL/ELT) for data platforms. Security, Compliance & Governance Implement zero-trust integration : mTLS, OAuth2/OIDC, token lifecycle, secrets management (e.g., KMS/Key Vault), and policy-as-code. Define and enforce data protection , PII handling , encryption (at-rest/in-transit) , auditability , and compliance (ISO 27001, SOC 2, GDPR, PCI, HIPAA as applicable). Establish API & integration governance : design guides, naming/versioning, discoverability, SLAs/SLOs, and RBAC/ABAC. Delivery, Enablement & Leadership Lead architecture roadmaps , reference implementations , and guardrails ; guide solution architects and squads. Collaborate with DevOps/SRE on CI/CD, infra-as-code (Terraform), GitOps, and automated policy enforcement. Review designs/code for integration quality; steer platform onboarding and developer experience (DX) improvements. Partner with Security, Data, and Product teams to align integration capabilities with business outcomes. Required Skills & Experience 10–15+ years in software/integration architecture; 5+ years in cloud-native PaaS. Deep expertise in API platforms (Azure API Management, AWS API Gateway, Apigee, Kong), iPaaS (MuleSoft/Boomi), and event/streaming (Kafka/Confluent, RabbitMQ). Strong in microservices , DDD , event-driven patterns, sagas , orchestration/choreography , state management , and transaction boundaries . Hands-on with containers & orchestration (Docker, Kubernetes), and service mesh (Istio/Linkerd). Proficient in security : OAuth2/OIDC, JWT, mTLS, secrets mgmt (Key Vault/KMS), policy-as-code (OPA), and cloud-native IAM . Infra-as-code & automation ( Terraform , Helm, ArgoCD/GitOps), CI/CD (Azure DevOps/GitHub Actions/Jenkins). Observability stack: OpenTelemetry , Prometheus/Grafana, ELK/ELK-like, distributed tracing. Data integration: CDC, event sourcing, ETL/ELT tools, integration with data lakes/warehouses. Excellent stakeholder management , documentation , and solution leadership .
About the Role: We are looking for a (Senior) Data Engineer who combines deep data engineering expertise with hands-on experience in Generative AI and Agentic AI system development on AWS Cloud. This role is ideal for someone who can design, build, and deploy production-grade GenAI workflows integrating LLMs, vector databases, and orchestration frameworkswith the same rigor as a traditional data system. Key Responsibilities: Design and maintain data pipelines and AI data infrastructure on AWS (Glue, Lambda, S3, Redshift, Step Functions, Athena, etc.). Develop and deploy LLM-based applications and Agentic AI workflows using frameworks like LangChain, LlamaIndex, or AutoGen. Build RAG (Retrieval-Augmented Generation) pipelines using AWS services (S3 + Bedrock + SageMaker + OpenSearch/Vector DB). Implement agentic reasoning, tool calling, and orchestration for multi-agent workflows. Containerize and deploy AI services using Docker, ECS, or EKS, ensuring scalability, cost-efficiency, and observability. Integrate AWS Bedrock, SageMaker, or OpenAI APIs with internal data systems and applications. Set up monitoring, tracing, and model observability using AWS CloudWatch, X-Ray, or third-party LLMOps tools. Collaborate with ML engineers, data scientists, and architects to take GenAI prototypes to production-ready deployments. Required Skills & Experience: 4–8 years of total experience in Data Engineering with strong AWS background. Proficiency in Pyspark with hands-on production grade experience. Hands-on experience with GenAI solutions in real-world environments (not just demos or PoCs). Working knowledge of Agentic AI frameworks (LangChain, LlamaIndex, AutoGen, or similar). Good hands-on experience in Python Cloud experience is must have, AWS is preferred. Experience with RAG architecture, vector databases (OpenSearch, Pinecone, FAISS, Chroma, or Milvus), and embedding models. Understanding of LLMOps, prompt lifecycle management, and performance monitoring. Practical experience deploying workloads on AWS ECS/EKS, setting up CI/CD pipelines, and managing runtime performance. Familiarity with IAM, VPC, Secrets Manager, and security best practices in cloud environments. Nice to Have: Experience with AWS Bedrock for model hosting or SageMaker for fine-tuning and evaluation. Exposure to multi-agent architectures and autonomous task orchestration. Contributions to open-source GenAI projects or internal AI platform initiatives.
Indore, Madhya Pradesh, India;Noida, Uttar Pradesh, India Qualification : Enterprise Integration Architect – PaaS Services Role Summary The Enterprise Integration Architect will own the end-to-end integration strategy and architecture across PaaS services—enabling secure, scalable, and observable connectivity among applications, data platforms, and external ecosystems. This role spans API-led integration, event-driven architectures, messaging & streaming, CI/CD enablement, platform governance, and zero-trust security across multi-cloud/hybrid environments. Key Responsibilities Architecture & Design Define enterprise integration reference architecture covering API, event, and data integration patterns (synchronous/asynchronous, pub/sub, CQRS, Saga/Orchestration/Choreography). Architect integration solutions for PaaS services (containers, serverless, managed DBs, messaging, streaming, iPaaS, API gateways) across multi-cloud/hybrid / private-cloud environments. Establish canonical data models, integration contracts, and versioning strategies; enforce standards via architecture reviews. Drive API-first strategy: REST/GraphQL/gRPC, gateway policies, developer portal, API lifecycle management. Lead designs for real-time streaming (Kafka/Confluent), event mesh (NATS/RabbitMQ), and integration pipelines (ETL/ELT) for data platforms. Security, Compliance & Governance Implement zero-trust integration: mTLS, OAuth2/OIDC, token lifecycle, secrets management (e.g., KMS/Key Vault), and policy-as-code. Define and enforce data protection, PII handling, encryption (at-rest/in-transit), auditability, and compliance (ISO 27001, SOC 2, GDPR, PCI, HIPAA as applicable). Establish API & integration governance: design guides, naming/versioning, discoverability, SLAs/SLOs, and RBAC/ABAC. Delivery, Enablement & Leadership Lead architecture roadmaps, reference implementations, and guardrails; guide solution architects and squads. Collaborate with DevOps/SRE on CI/CD, infra-as-code (Terraform), GitOps, and automated policy enforcement. Review designs/code for integration quality; steer platform onboarding and developer experience (DX) improvements. Partner with Security, Data, and Product teams to align integration capabilities with business outcomes. Required Skills & Experience 10–15+ years in software/integration architecture; 5+ years in cloud-native PaaS. Deep expertise in API platforms (Azure API Management, AWS API Gateway, Apigee, Kong), iPaaS (MuleSoft/Boomi), and event/streaming (Kafka/Confluent, RabbitMQ). Strong in microservices, DDD, event-driven patterns, sagas, orchestration/choreography, state management, and transaction boundaries. Hands-on with containers & orchestration (Docker, Kubernetes), and service mesh (Istio/Linkerd). Proficient in security: OAuth2/OIDC, JWT, mTLS, secrets mgmt (Key Vault/KMS), policy-as-code (OPA), and cloud-native IAM. Infra-as-code & automation (Terraform, Helm, ArgoCD/GitOps), CI/CD (Azure DevOps/GitHub Actions/Jenkins). Observability stack: OpenTelemetry, Prometheus/Grafana, ELK/ELK-like, distributed tracing. Data integration: CDC, event sourcing, ETL/ELT tools, integration with data lakes/warehouses. Excellent stakeholder management, documentation, and solution leadership. Experience : 10 to 15 years Job Reference Number : 13519 Skills Required : PaaS Architecture, API, Kafka, Microservices, Docker , Kubernetes Role : Enterprise Integration Architect – PaaS Services Role Summary The Enterprise Integration Architect will own the end-to-end integration strategy and architecture across PaaS services—enabling secure, scalable, and observable connectivity among applications, data platforms, and external ecosystems. This role spans API-led integration, event-driven architectures, messaging & streaming, CI/CD enablement, platform governance, and zero-trust security across multi-cloud/hybrid environments. Key Responsibilities Architecture & Design Define enterprise integration reference architecture covering API, event, and data integration patterns (synchronous/asynchronous, pub/sub, CQRS, Saga/Orchestration/Choreography). Architect integration solutions for PaaS services (containers, serverless, managed DBs, messaging, streaming, iPaaS, API gateways) across multi-cloud/hybrid / private-cloud environments. Establish canonical data models, integration contracts, and versioning strategies; enforce standards via architecture reviews. Drive API-first strategy: REST/GraphQL/gRPC, gateway policies, developer portal, API lifecycle management. Lead designs for real-time streaming (Kafka/Confluent), event mesh (NATS/RabbitMQ), and integration pipelines (ETL/ELT) for data platforms. Security, Compliance & Governance Implement zero-trust integration: mTLS, OAuth2/OIDC, token lifecycle, secrets management (e.g., KMS/Key Vault), and policy-as-code. Define and enforce data protection, PII handling, encryption (at-rest/in-transit), auditability, and compliance (ISO 27001, SOC 2, GDPR, PCI, HIPAA as applicable). Establish API & integration governance: design guides, naming/versioning, discoverability, SLAs/SLOs, and RBAC/ABAC. Delivery, Enablement & Leadership Lead architecture roadmaps, reference implementations, and guardrails; guide solution architects and squads. Collaborate with DevOps/SRE on CI/CD, infra-as-code (Terraform), GitOps, and automated policy enforcement. Review designs/code for integration quality; steer platform onboarding and developer experience (DX) improvements. Partner with Security, Data, and Product teams to align integration capabilities with business outcomes. Required Skills & Experience 10–15+ years in software/integration architecture; 5+ years in cloud-native PaaS. Deep expertise in API platforms (Azure API Management, AWS API Gateway, Apigee, Kong), iPaaS (MuleSoft/Boomi), and event/streaming (Kafka/Confluent, RabbitMQ). Strong in microservices, DDD, event-driven patterns, sagas, orchestration/choreography, state management, and transaction boundaries. Hands-on with containers & orchestration (Docker, Kubernetes), and service mesh (Istio/Linkerd). Proficient in security: OAuth2/OIDC, JWT, mTLS, secrets mgmt (Key Vault/KMS), policy-as-code (OPA), and cloud-native IAM. Infra-as-code & automation (Terraform, Helm, ArgoCD/GitOps), CI/CD (Azure DevOps/GitHub Actions/Jenkins). Observability stack: OpenTelemetry, Prometheus/Grafana, ELK/ELK-like, distributed tracing. Data integration: CDC, event sourcing, ETL/ELT tools, integration with data lakes/warehouses. Excellent stakeholder management, documentation, and solution leadership.