SRE Engineer

TigerHire; Pune District; On-site; INR 1,500,000 - 3,000,000; Full time

Job summary

TigerHire is seeking an experienced SRE/DevOps engineer to maintain highly available production systems and cloud infrastructure in Pune. The role emphasizes incident response, automation, and reliability engineering across Kubernetes, IaC, and monitoring platforms.

The candidate should have hands-on experience with cloud platforms, containerized workloads, and CI/CD workflows to ensure fast, reliable deployments and ongoing system improvements.

Qualifications

• Experience in production-critical environments with high availability.
• Ability to manage cloud infrastructure and incident response.

Responsibilities

• Monitor production systems and maintain service availability, performance, and stability.
• Participate in on-call rotations and resolve critical incidents.
• Investigate failures, perform root-cause analysis, and implement preventive measures.
• Automate recurring operational tasks to reduce manual work.
• Improve reliability using SLIs, SLOs and error budgets.
• Contribute to capacity planning, DR, HA, and failover strategies.
• Manage Kubernetes-based infrastructure (AKS/EKS/GKE).

Skills

SRE

DevOps

Terraform

Kubernetes

Python

CI/CD

Monitoring

Education

Bachelor's Degree

Master's Degree

Tools

Git

Azure

AWS

GCP

Job description

The selected SRE and DevOps professional will be responsible for maintaining highly available production systems, managing cloud infrastructure, improving observability, and supporting reliable deployment and operations practices. The role combines hands-on engineering with incident response, infrastructure automation, performance optimization, and continuous reliability improvement.

The ideal candidate should have experience working in production-critical environments where system availability, quick incident resolution, effective monitoring, and preventive engineering are essential.

Key Responsibilities

• Monitor production systems and maintain service availability, performance, and operational stability.
• Participate in production support and scheduled on-call rotations, including the resolution of critical incidents.
• Investigate system failures, perform root cause analysis, document post-incident findings, and implement preventive measures.
• Identify recurring operational issues and reduce manual intervention through automation.
• Improve service reliability using measurable indicators, service objectives, availability targets, and error-budget practices.
• Contribute to capacity planning, disaster recovery, high availability, redundancy, and failover strategies.

Cloud Infrastructure and Platform Engineering

Manage and optimize cloud infrastructure across Microsoft Azure, Amazon Web Services (AWS), and/or Google Cloud Platform (GCP).

Work with cloud compute, storage, networking, access management, monitoring, and cloud-native services.

Support containerized applications and manage Kubernetes-based infrastructure, including AKS, EKS, GKE, or equivalent platforms.

Troubleshoot cluster health, application workloads, resource utilization, scaling, networking, and deployment-related issues.

Work with Helm and other relevant deployment tools to maintain consistent application releases.

Infrastructure Automation and DevOps

Develop and maintain Infrastructure as Code (IaC) using Terraform.

Support automated infrastructure provisioning, configuration management, and repeatable deployment processes.

Work with Git-based development workflows, including GitHub, GitLab, Azure Repos, or equivalent platforms.

Contribute to CI/CD pipelines and improve deployment reliability through automation.

Develop scripts using Python and/or Bash to simplify operational activities and eliminate repetitive tasks.

Monitoring, Observability and Performance

Build and maintain monitoring, logging, metrics, tracing, and alerting solutions for production environments.

Work with observability platforms such as OpenTelemetry, Datadog, Prometheus, Grafana, Azure Monitor, Golden Signals(including Latency, errors, traffic, saturation), AWS CloudWatch, and GCP Cloud Monitoring.

Apply the four Golden Signals—latency, traffic, errors, and saturation—to monitor service health and identify performance issues.

Improve distributed tracing and establish meaningful alerts that reflect actual system health and user impact.

Investigate performance bottlenecks across infrastructure, applications, networks, and distributed systems.

Linux, Networking and Security

Troubleshoot Linux-based systems and production infrastructure issues.

Apply networking fundamentals, including DNS, TCP/IP, load balancing, SSL/TLS, and connectivity troubleshooting.

Follow cloud security best practices for identity and access management, network segmentation, and secrets management.

Support vulnerability remediation, security improvements, and compliance-related activities in collaboration with relevant teams.

Technical Environment

The role involves cloud infrastructure, Kubernetes, Terraform, scripting, production support, monitoring, and modern reliability engineering practices. Experience with one major cloud platform is important, while exposure to multiple cloud environments can be beneficial.

Additional exposure to Go (Golang), OpenSearch, ELK Stack, AI/ML production platforms, Azure AI services, AI Foundry, RAG-based workloads, and enterprise observability frameworks would be advantageous.

Skills: mttr, sre, sre & production operations, python, gitlab, rca, golden signals, kubernetes & containerization, opentelemetry, 24/7 production support, troubleshooting, toil reduction, capacity planning, aws, gcp, cloud infrastructure, github, incident management, linux system, terraform, error budgets, devops, sla, ms azure, iac, golang, sli, production engineering, slo

Education: Bachelor's Degree, Master's Degree