Join Deloitte's Technology & Transformation practice as a Site Reliability Engineer in Bengaluru. This role focuses on enhancing our scalable Kubernetes-based infrastructure and CI/CD pipelines. You will play a key part in managing and optimizing cloud-native solutions, driving efficiency and resilience. This is an exciting opportunity to work with cutting-edge technologies and contribute to data-driven insights.

Our team offers strategic guidance and implementation services, helping companies leverage vast amounts of data. We specialize in business intelligence, data management, performance management, and next-generation analytics, including big data, cloud, cognitive, and machine learning.

As a Site Reliability Engineer, you will be instrumental in maintaining and advancing our technological capabilities. Your work will directly impact our ability to deliver actionable information and maintain a competitive edge.

Lead the design, implementation, and maintenance of scalable Kubernetes-based infrastructure. Architect and manage CI/CD pipelines for automated testing, deployment, and monitoring of microservices. Define and enforce best practices for containerization, infrastructure as code (IaC), and Kubernetes operations. Collaborate with development, security, and operations teams to build resilient, secure cloud-native solutions. Drive improvements in observability (logging, metrics, alerting) using tools like Prometheus or DataDog. Manage and mentor a team of DevOps engineers, fostering technical growth and consistent delivery. Own and maintain Helm charts, Kubernetes manifests, and automation scripts for multi-environment deployments. Troubleshoot and resolve complex issues in cloud and containerized environments. Stay current with industry trends, tools, and Kubernetes CNCF ecosystem advancements.

Requires a minimum of 5 years of experience in DevOps, Site Reliability Engineering, or Infrastructure Engineering. A minimum of 4 years of hands-on Kubernetes experience in a production-grade environment (EKS, GKE, AKS, or self-managed) is essential. Deep knowledge of Docker, Helm, and core Kubernetes components (controllers, CRDs, networking, RBAC) is crucial. Strong proficiency with Infrastructure as Code tools such as Terraform or Ansible. Expertise in CI/CD tools like Jenkins, GitHub Actions, Azure DevOps, or GitLab CI. Proficiency in scripting and automation using Python, Bash, or Powershell. Experience with cloud platforms including AWS, Azure, or GCP. Familiarity with service mesh technologies (e.g., Istio, Linkerd) and Kubernetes security best practices. Excellent problem-solving abilities, with the capacity to work both independently and collaboratively. Strong communication and collaboration skills are required.