06 Aug
|
HCL Technologies
|
India
06 Aug
HCL Technologies
India
Kubernetes Senior Technical Lead - Azure DevOps
Experience: Not Available to Not Available years
Location: Noida, India
Skills: Azure, AWS, Docker, Kubernetes, CI/CD, Azure DevOps, Jenkins, GitHub Actions, Python, Bash, REST APIs, API gateways, microservices architecture, event-driven systems, message queues, SMART on FHIR, FHIR, HL7, X12, OpenTelemetry, OPA (Open Policy Agent), HIPAA, Azure Key Vault, AWS Secrets Manager, OAuth2, OIDC, Kafka, Event Hub, MLOps, LLMOps
Job Summary
We are seeking a highly skilled DevOps Engineer to design, build, and manage scalable, secure, and compliant infrastructure for healthcare automation systems. The ideal candidate has strong experience in cloud-native systems, CI/CD, observability, and API-driven architectures, and is comfortable working with SMART on FHIR integrations, payer APIs, and event-driven workflows within MPP environments.
Key Responsibilities
1.
Cloud
Infrastructure &
- Deployment
- Design cloud-native, multi-tenant infrastructure on Azure/AWS using microservices and event-driven architecture patterns
- Implement Infrastructure-as-Code using Terraform with modular reusable components and policy enforcement
- Build internal developer platforms (IDP) enabling self-service environment provisioning
- Manage container orchestration with Kubernetes (AKS/EKS) including autoscaling, service mesh (Istio), and resilience patterns
- CI/CD &
- Release Engineering
- Implement GitOps-based deployment strategies using tools like ArgoCD or Flux
- Automate build, test, and deployment processes
- Enable progressive delivery (canary, blue-green) and automated rollback mechanisms
- Automate pipelines with integrated security scans (SAST, DAST)
- Support multi-environment pipelines for SMART on FHIR applications
- Ensure safe and reliable releases with rollback strategies
- API &
- Integration Enablement
- Support integration with:
o FHIR APIs (SMART on FHIR)
o Payer APIs (FHIR / X12 278)
- Enable secure API orchestration and gateway management
- Design and manage API gateways (Azure API Management / Kong) with rate limiting, throttling, and authentication policies
- Implement resilient API patterns including retries, circuit breakers, and fallback strategies
- Ensure secure and scalable SMART on FHIR and payer API integrations
- Manage API lifecycle including versioning and governance
- Observability &
- Reliability
- Implement distributed tracing using OpenTelemetry across microservices
- Correlate logs, metrics, and traces for end-to-end workflow visibility
- Define SLOs/SLIs for key services and automate alerting based on error budgets
- Build observability dashboards for real-time monitoring of PA workflows and system health
- Security &
- Compliance
- Implement policy-as-code using tools like OPA (Open Policy Agent) for governance and compliance
- Design HIPAA-compliant infrastructure with encryption, audit logging, and access controls
- Manage secrets using Azure Key Vault / AWS Secrets Manager
- Integrate identity management with OAuth2, OIDC, and zero-trust architecture
- Event-Driven Architecture
- Build and maintain event-driven pipelines for EHR triggers and downstream workflows
- Support messaging systems (Kafka, Event Hub)
- Ensure reliable event delivery and processing
- Design event-driven pipelines using Kafka/Event Hub with schema evolution and versioning
- Implement reliable event processing with idempotency, retries, and dead-letter queues
- Support event sourcing patterns for auditability and replay capability
7.
Platform
Engineering &
- Developer Experience
- Build internal developer platforms to streamline microservice deployment and management
- Enable self-service infrastructure provisioning and observability tooling
- Standardize templates for services, pipelines, and deployments
- AI/ML Ops
- Support deployment and monitoring of AI/ML models (MLOps/LLMOps)
- Integrate model inference services into microservices workflows
Skill Requirements
Core Technical Skills
- Strong experience in Azure (preferred) or AWS
- Expertise in Docker, Kubernetes
- Experience with CI/CD tools (Azure DevOps, Jenkins, GitHub Actions)
- Strong scripting (Python, Bash)
DevOps &
- Integration Skills
- Experience with REST APIs, API gateways
- Knowledge of microservices architecture
- Event-driven systems and message queues
Soft Skills
- Robust problem-solving and troubleshooting skills
- Excellent collaboration with engineering and product teams
- Ability to work in regulated environments
Preferred Qualifications
- Experience with SMART on FHIR and healthcare integrations
- Knowledge of FHIR, HL7, X12 standards
- Experience in healthcare or revenue cycle systems
Other Requirements
- Relevant certifications in DevOps, Kubernetes, and Azure (e.g., Certified Kubernetes Administrator, Microsoft Certified Azure DevOps Engineer Expert) would be a plus.
📌 Kubernetes Senior Technical Lead Azure DevOps (India)
🏢 HCL Technologies
📍 India