Site Reliability Engineer

Infrastructure Engineer

Location: Bangalore

Experience: 1–3 Years

CTC: ₹18–25 LPA

About The Role One of our clients is looking for a highly motivated

Infrastructure Engineer to join their growing engineering team. This role is ideal for someone passionate about cloud infrastructure, automation, Kubernetes, and platform reliability. You will be responsible for designing, building, and maintaining the infrastructure that powers a high-availability, real-time voice platform used in production. As part of the infrastructure team, you will play a critical role in the organization's transition to Kubernetes, ensuring applications are deployed efficiently, securely, and reliably. You will collaborate closely with backend, platform, and product engineering teams to build scalable infrastructure, automate deployment workflows, and improve system observability. This is an excellent opportunity to work with cutting-edge cloud technologies, Infrastructure as Code (IaC), AI-assisted engineering tools, and modern DevOps practices while contributing to a mission-critical platform. Key ResponsibilitiesKubernetes & Platform Engineering

• Lead the migration of existing applications and services to Kubernetes.
• Design, configure, and maintain Kubernetes clusters, namespaces, resource quotas, networking, and workload configurations.
• Ensure high availability, scalability, and resilience of production infrastructure.
• Optimize cluster performance, resource utilization, and application deployments. Cloud Infrastructure & Infrastructure as Code
• Manage cloud infrastructure across Azure and Google Cloud Platform (GCP).
• Provision and maintain infrastructure using Terraform and Infrastructure as Code best practices.
• Standardize infrastructure configurations across development, staging, and production environments.
• Automate infrastructure provisioning, updates, and maintenance activities. CI/CD & Deployment Automation
• Build, maintain, and improve CI/CD pipelines for reliable and efficient software delivery.
• Implement deployment strategies including rolling updates, blue-green deployments, and automated rollback mechanisms.
• Work closely with development teams to improve deployment processes and reduce release time.
• Automate repetitive operational tasks wherever possible. Monitoring, Observability & Reliability
• Own and enhance the observability stack using Grafana and Prometheus.
• Develop dashboards, metrics, and alerts to proactively monitor system health.
• Analyze system performance and identify opportunities to improve availability and latency.
• Continuously optimize infrastructure for reliability and operational efficiency. Incident Management & Production Support
• Monitor production environments and respond promptly to incidents.
• Lead incident response from detection through resolution and post-incident analysis.
• Perform root cause analysis and implement preventive measures.
• Create and maintain operational documentation, runbooks, and troubleshooting guides.
• Participate in on-call rotations and provide support during critical production incidents when required. Cross-functional Collaboration
• Work closely with backend, frontend, DevOps, and product engineering teams.
• Assist developers in optimizing infrastructure for application performance.
• Promote DevOps culture and infrastructure best practices across engineering teams.
• Contribute ideas for improving automation, deployment workflows, and operational excellence.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
• 1–3 years of experience in Infrastructure Engineering, DevOps, Platform Engineering, or Site Reliability Engineering (SRE).
• Hands-on experience managing Kubernetes clusters in production environments.
• Strong knowledge of Infrastructure as Code using Terraform or equivalent tools.
• Experience building and maintaining CI/CD pipelines.
• Experience with monitoring and observability tools such as Grafana and Prometheus.
• Good understanding of Linux systems, networking concepts, and cloud infrastructure.
• Strong analytical, debugging, and problem-solving skills.
• Ability to troubleshoot complex production issues under pressure.
• Familiarity with AI-assisted tools for infrastructure automation, debugging, and code generation.
• Strong communication and collaboration skills with cross-functional teams.

Preferred Qualifications

• Experience working with Microsoft Azure and Google Cloud Platform (GCP).
• Exposure to real-time systems, Voice AI platforms, streaming applications, or low-latency distributed systems.
• Knowledge of service mesh technologies such as Istio or Linkerd.
• Experience writing automation scripts using Python or Bash.
• Understanding of container security, networking, and Kubernetes best practices.
• Familiarity with GitOps workflows and modern DevOps methodologies.
• Knowledge of cloud security, infrastructure monitoring, and disaster recovery practices. Technical SkillsMandatory Skills
• Kubernetes
• Terraform

Preferred Skills

• Azure
• Google Cloud Platform (GCP)
• Grafana
• Prometheus
• CI/CD Pipelines
• Python
• Bash
• Istio
• Linkerd
• Linux
• Infrastructure as Code (IaC) Why Join?
• Work on a modern cloud-native platform powered by Kubernetes.
• Gain hands-on experience with cutting-edge infrastructure technologies and AI-assisted engineering tools.
• Build highly available, scalable systems serving real-time production workloads.
• Collaborate with experienced engineers in a fast-paced, innovation-driven environment.
• Take ownership of critical infrastructure that directly impacts product reliability.
• Enjoy continuous learning opportunities, technical mentorship, and career growth.
• Be part of a collaborative engineering culture that values automation, innovation, and operational excellence. Skills: ci,infrastructure,terraform,kubernetes,cd,grafana,prometheus,azure