Site Reliability Engineer

Smart Ims; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Smart Ims is seeking a Site Reliability Engineer in Bengaluru, India. In this role, you will manage and optimize Kubernetes infrastructure, design CI/CD pipelines, and secure cloud resources across major platforms like AWS and GCP.

The ideal candidate will have 3-6 years of experience, solid scripting skills in Python or Go, and a Bachelor's degree in a relevant field. Join us to bridge software development with infrastructure operations!

Qualifications

• 3 to 6 years of experience as an SRE, DevOps Engineer, or Cloud Infrastructure Engineer.
• Strong hands-on experience with Kubernetes and CI/CD tools.
• Proficiency in Python, Bash, or Go for automation.

Responsibilities

• Architect and maintain Kubernetes clusters.
• Design and optimize CI/CD pipelines for application delivery.
• Manage and secure cloud resources using a software-defined infrastructure.

Skills

Kubernetes expertise

CI/CD tools proficiency

Python scripting

Cloud operations (AWS, GCP, or Azure)

Network troubleshooting

Education

Bachelor's degree in Computer Science or related field

Tools

Jenkins

GitLab CI

GitHub Actions

ArgoCD

Job description

Roles & Responsibilities

As a Site Reliability Engineer, your day-to-day responsibilities will include:

• Infrastructure Orchestration: Architect, maintain, and scale production-grade Kubernetes (K8s) clusters; continuously monitor and troubleshoot control plane mechanics, cluster networking, and workload scheduling.
• Deployment Automation: Design, optimize, and maintain robust CI/CD pipelines to streamline application delivery.
• Progressive Delivery Management: Safely execute and manage advanced application rollout strategies, including Canary deployments and Blue/Green deployment patterns, minimizing user downtime.
• Cloud Operations: Manage, provision, and secure cloud resources within a major public cloud environment (AWS, GCP, or Azure), utilizing a software-defined infrastructure approach.
• Eliminate Administrative Toil: Actively identify manual, repetitive operational tasks and eliminate them by writing clean, reusable automation scripts and internal tools using Python, Go, or Bash.
• Network Troubleshooting: Diagnose and resolve complex system interconnectivity, routing, load balancing, and communication bugs across core protocols (TCP/IP, DNS, HTTP).
• Cross-Functional Collaboration: Bridge the gap between software development and infrastructure operations to ensure system reliability, visibility, and optimal performance scaling.

Preferred Candidate Profile

The ideal candidate brings a blend of systems engineering expertise, an automation-first mindset, and production-level troubleshooting skills:

• Experience: 3 to 6 years of proven experience working as an SRE, DevOps Engineer, or Cloud Infrastructure Engineer managing production environments.
• Deep Kubernetes Expertise: Strong conceptual and operational mastery of Kubernetes architecture. You should know K8s troubleshooting paradigms 'inside out.'
• Pipeline Proficiency: Hands-on experience with modern CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions, or ArgoCD) and a proven track record of fixing pipeline friction or lifecycle failures.
• Cloud & Security Competency: Solid working experience with at least one major cloud platform (AWS, GCP, or Azure), including a strong grasp of native service provisioning and identity/access management (IAM).
• Strong Coding/Scripting Skills: Proficiency in Python, Bash, or Go. You write clean, production-grade code to build automation tools rather than just running manual commands.
• Solid Networking Foundation: Deep understanding of core networking principles, routing, load balancers, and protocols (TCP/IP, DNS, HTTP) to quickly pinpoint why services aren't communicating.
• Education: Bachelors degree in Computer Science, Information Technology, Engineering, or a related technical field (or equivalent practical experience).