Senior Lead Kubernetes & Devsecops Engineer

Tata Consultancy Services Limited
Dallas, TX, United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$110,000.0 - $120,000.0
Working hours
Regular working hours

Tech stack

Kubernetes Security Java (Programming Language) Amazon Web Services Amazon Elastic Compute Cloud Application Release Automation Microsoft Azure Cloud Computing Cloud Engineering Software Code Optimization Computer Networks Continuous Integration Elasticsearch
+38 more
Monitoring of Systems Identity and Access Management Key Management Apache Maven Cisco Nexus Switches Performance Tuning Role-Based Access Control Reliability Engineering Service Discovery SonarQube Datadog SSL Certificate Management Data Logging Autoscaling Istio System Availability Spring-boot Kubernetes Helm Charts Infrastructure as Code (IaC) Containerization Gitlab-ci Kubernetes Infrastructure Automation Frameworks Deployment Automation Cassandra Hashicorp Azure AKS Graphql Restful APIs Terraform Splunk Devsecops AWS EKS Docker Static Application Security Testing Artifactory Microservices Dynamic Application Security Testing

Job description

  • Design, deploy, manage, and optimize Kubernetes platforms on OnPrem, AWS EKS and Azure AKS.
  • Own Kubernetes cluster lifecycle management, including provisioning, upgrades, patching, scaling, performance tuning, and troubleshooting.
  • Build and maintain enterprise-grade GitLab CI/CD and DevSecOps pipelines.
  • Automate infrastructure and deployment processes using Terraform and Infrastructure as Code (IaC).
  • Implement containerization s tandards and deployment strategies including Blue-Green, Canary, and Rolling Deployments.
  • Drive platform reliability, scalability, security, and operational excellence.
  • Implement monitoring, logging, alerting, and observability solutions.
  • Lead production support, incident management, root cause analysis, and platform optimization initiatives.
  • Implement Kubernetes security controls, RBAC, network policies, secret management, and certificate management.
  • Support deployment and operations of Java Spring Boot Microservices and GraphQL services.
  • Mentor engineering teams and promote Platform Engineering and SRE best practices.

Requirements

Senior Lead Kubernetes & DevSecOps Engineer Must Have Technical/Functional Skills Kubernetes & Container Platforms (Primary Skill)

  • Kubernetes Administration & Operations
  • AWS EKS
  • Azure AKS
  • Helm Charts
  • Kubernetes Networking
  • Ingress Controllers
  • Service Discovery
  • RBAC & Security Policies
  • Network Policies
  • HPA/VPA Autoscaling
  • Multi-Cluster Management
  • Cluster Upgrades & Maintenance
  • Performance Optimization
  • Production Troubleshooting

DevSecOps & Automation

  • GitLab CI/CD
  • Docker
  • Infrastructure as Code (IaC)
  • CI/CD Pipeline Design & Governance
  • SAST / DAST
  • Container Security Scanning
  • Release Automation
  • Container Registries (ECR / ACR)

Monitoring & Observability

  • Datadog
  • Splunk

Cloud Platforms AWS

  • EKS
  • ECR
  • IAM
  • EC2

Azure

  • AKS
  • ACR

Security & Secrets Management

  • HashiCorp Vault
  • AWS Secrets Manager
  • Azure Key Vault
  • Certificate Management
  • Kubernetes Security Hardening

Application Technologies (Secondary Skill)

  • Java
  • Spring Boot
  • Microservices Architecture
  • REST APIs
  • GraphQL
  • Maven

PREFERRED SKILLS

  • ArgoCD / GitOps
  • Istio Service Mesh
  • SonarQube, Fossa, Wiz CLI scans
  • Nexus / Artifactory
  • Cassandra
  • Elasticsearch
  • Site Reliability Engineering (SRE)
  • Platform Engineering
  • CKA / CKAD Certifications, * We are seeking a highly experienced Senior Lead Kubernetes & DevSecOps Engineer with strong expertise in Kubernetes Platform Engineering, Cloud Operations, CI/CD Automation, Security, Observability, and Production Support across AWS and Azure environments.
  • This is primarily a Kubernetes and DevSecOps-focused role. The ideal candidate should have extensive hands-on experience managing enterprise-scale Kubernetes platforms on AWS EKS and Azure AKS. Knowledge of Java Spring Boot Microservices and GraphQL is required to effectively support cloud-native application teams.

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