SRE

Site reliability engineer - Experience: 5+ Years

Location: mumbai

Mandatory Skills: SRE (site reliability engineering) , aws cloud , and devops

We are looking for an SRE with DevOps expertise to maintain production system reliability, availability, and performance through automation, monitoring, and efficient incident management.

Responsibilities

• Monitor production systems and troubleshoot incidents.
• Manage Linux/Unix servers and cloud infrastructure.
• Develop and maintain CI/CD pipelines.
• Automate operational tasks using scripting.
• Manage infrastructure using Terraform or Ansible.
• Work with Docker and Kubernetes.
• Perform root cause analysis (RCA) and improve system reliability.

Required Skills

• SRE and DevOps experience.
• Linux/Unix administration.
• AWS, Azure, or GCP.
• CI/CD tools: Jenkins, GitLab, or GitHub Actions.
• Docker and Kubernetes.
• Terraform and Ansible.
• Python, Shell, or Bash scripting.
• Monitoring tools: Prometheus, Grafana, Splunk, or Datadog.
• Incident management and troubleshooting.

Site reliability engineer - Experience: 8+ Years

Location: Hyderabad / Bangalore

Mandatory Skills: Production Support, SRE, Linux/Unix, AI/ML Infrastructure Knowledge

SRE / Success Engineering role focused on production operations, reliability, AWS infrastructure, monitoring, incident management, and platform support for the ZT platform.

Core responsibilities include:

• Production monitoring and debugging of live systems.
• Incident investigation, troubleshooting, and problem resolution.
• AWS cloud infrastructure support and maintenance.
• Deployment and operational support activities.
• Supporting a 24x7 production environment.
• Working with GitHub-based development workflows.
• Technical debt remediation and platform improvements.
• Customer issue investigation and support.
• Security and compliance-related work, including FedRAMP initiatives.

Preferred Skills:

AWS (especially S3 and EC2)

Strong debugging and troubleshooting skills

Site Reliability Engineering (SRE) experience

GitHub experience

Basic software development skills

TypeScript/JavaScript knowledge

C# preferred

AI experience is a plus.

Candidate should be a hands-on engineer with strong AWS, SRE, operational ownership, production support, and debugging capabilities, rather than a pure application or full-stack developer.

Required Skills:

• Strong experience in Site Reliability Engineering (SRE) and DevOps practices.
• Hands-on experience with CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI/CD.
• Strong knowledge of AWS, Azure, or GCP cloud platforms.
• Experience with Docker, Kubernetes, and container orchestration.
• Hands-on experience with Terraform, Ansible, or other Infrastructure as Code (IaC) tools.
• Experience with monitoring and observability tools such as Prometheus, Grafana, Splunk, ELK, or Datadog.
• Good scripting skills in Python, Bash, or Shell scripting.
• Understanding of SLI, SLO, SLA, error budgets, and service reliability.
• Experience in incident management, troubleshooting, root-cause analysis (RCA), and production support.
• Knowledge of system performance monitoring, capacity planning, high availability, and disaster recovery.
• Experience with Linux/Unix administration and networking fundamentals.
• Familiarity with Agile methodologies, Git, and automated deployment practices.

Experience: 8+ Years

Location: Hyderabad / Bangalore

Mandatory Skills: Production Support, SRE, Linux/Unix, AI/ML Infrastructure Knowledge

Job Description:

• Provide production support for mission-critical applications, including incident management, troubleshooting, RCA, deployments, monitoring, and service restoration.
• Implement SRE practices to improve system reliability, availability, and performance.
• Support AI/ML platforms and GPU infrastructure; knowledge of GenAI and AI/ML workloads is preferred.
• Automate repetitive support activities using Python and Shell scripting.
• Monitor systems using tools such as Splunk and AppDynamics.
• Identify performance bottlenecks and drive continuous improvement.
• Collaborate with infrastructure, application, and business teams to resolve production issues.

Required Skills:

• 8+ years of experience in Production Support and SRE.
• Strong Linux/Unix administration and troubleshooting skills.
• Experience with incident management, RCA, monitoring, and automation.
• Knowledge of AI/ML platforms, GPU infrastructure, and GenAI concepts.
• Python/Shell scripting knowledge.
• Exposure to Hadoop, Spark, or Elasticsearch is an advantage.
• Willingness to work in 24x7 shifts.
• 
  

We are looking for an experienced SRE with DevOps expertise to ensure the reliability, availability, scalability, and performance of production systems. The candidate should have hands-on experience in cloud infrastructure, CI/CD automation, monitoring, incident management, and infrastructure as code.

Responsibilities

• Monitor production environments and ensure high availability, reliability, and performance.
• Build and maintain CI/CD pipelines using Jenkins, GitLab CI, or GitHub Actions.
• Automate infrastructure provisioning and configuration using Terraform, Ansible, or similar tools.
• Manage cloud infrastructure on AWS, Azure, or GCP.
• Work with Docker and Kubernetes for containerization and orchestration.
• Implement monitoring, logging, and alerting using Prometheus, Grafana, Splunk, ELK, or Datadog.
• Handle incident management, root cause analysis, troubleshooting, and post-incident reviews.
• Develop automation scripts using Python, Bash, or Shell scripting.
• Improve system reliability by reducing manual tasks, toil, and recurring incidents.
• Manage deployments, releases, disaster recovery, and production support activities.
• Define and monitor SLIs, SLOs, and SLAs to improve service reliability.

Required Skills

• Strong experience in SRE and DevOps practices.
• Hands-on experience with AWS / Azure / GCP.
• CI/CD tools: Jenkins, GitLab CI, GitHub Actions, or Azure DevOps.
• Infrastructure as Code: Terraform, Ansible, or CloudFormation.
• Containerization: Docker and Kubernetes.
• Scripting: Python, Bash, or Shell.
• Monitoring and observability: Prometheus, Grafana, Splunk, ELK, or Datadog.
• Strong Linux/Unix administration and troubleshooting skills.
• Experience in production support, incident management, and root cause analysis.
• Good understanding of networking, system performance, high availability, and disaster recovery.

Role Overview

We are looking for an experienced **Site Reliability Engineer (SRE) / Production Support Engineer** with strong expertise in application/production support, incident management, monitoring, cloud operations, automation, and infrastructure technologies.

The candidate will be responsible for ensuring the **availability, reliability, and performance of production applications**, troubleshooting critical issues, monitoring systems, and supporting production deployments.

#### Key Responsibilities & Skills

- Strong experience in **Application / Production Support**.

- Hands-on experience in **Production Issue Handling and Incident Management**.

- Experience in **Batch Monitoring** and production monitoring activities.

- Good understanding of **Network, Load Balancing, and Database-related issues**.

- Strong understanding of **SLI, SLO, Error Budget, and Burn Rate concepts**.

- Hands-on experience with **Splunk queries and dashboard creation/monitoring**.

- Experience with **APM (Application Performance Monitoring) tools**.

- Experience supporting **Production Deployments**, including **Blue-Green and Canary deployments**.

- Good knowledge of **Cloud Operations**.

- Hands-on experience with **Docker, Kubernetes, and Terraform/IaC**.

- Strong knowledge of **Linux/Windows administration and shell scripting**.

- Experience with **Windows administration and scripting**.

- Knowledge of **Python scripting/automation**.

- Exposure to **GenAI tools such as GitHub Copilot, Claude, or similar tools** for day-to-day operational activities.

- Strong troubleshooting, problem-solving, and incident-resolution skills.

Shift Timings

The role involves rotational shifts:

ob Summary

We are looking for an experienced Site Reliability Engineer (SRE) / Production Support Engineer with strong hands-on experience in application and production support, incident management, monitoring, cloud operations, automation, and infrastructure technologies.

The ideal candidate will be responsible for ensuring the availability, reliability, performance, and stability of production applications and infrastructure. The role involves troubleshooting critical production issues, monitoring applications and infrastructure, supporting deployments, managing incidents, and driving automation and operational improvements.

Key Responsibilities

• Provide L2/L3 Application and Production Support for critical business applications.
• Monitor production applications, infrastructure, batch jobs, and system health.
• Handle and troubleshoot critical production incidents, ensuring timely resolution and minimal business impact.
• Participate in Incident, Problem, and Change Management processes.
• Perform root-cause analysis (RCA) for recurring and major production issues.
• Troubleshoot issues related to applications, networks, load balancers, databases, operating systems, and infrastructure.
• Monitor application and infrastructure performance using Splunk, APM, and other monitoring tools.
• Create and maintain Splunk queries, dashboards, alerts, and operational monitoring.
• Support production deployments, including Blue-Green and Canary deployment strategies.
• Work with cloud infrastructure and perform day-to-day Cloud Operations activities.
• Manage and troubleshoot containerized applications using Docker and Kubernetes.
• Work with Terraform / Infrastructure as Code (IaC) for infrastructure provisioning and automation.
• Support Linux and Windows server administration.
• Develop and maintain Shell scripts and Python automation scripts to reduce manual operational activities.
• Monitor and analyze SLIs, SLOs, Error Budgets, and Burn Rates.
• Identify reliability risks and proactively implement solutions to improve system availability and performance.
• Collaborate with Development, DevOps, Infrastructure, Network, Database, and Cloud teams during production incidents.
• Leverage GenAI tools such as GitHub Copilot, Claude, or similar tools to improve troubleshooting, automation, documentation, and operational efficiency.
• Participate in on-call/shift-based production support as required by business and customer needs.

Mandatory / Key Skills

• Production / Application Support
• Incident Management
• Production Monitoring & Batch Monitoring
• Splunk – Queries, Dashboards & Monitoring
• APM / Application Performance Monitoring
• SLI / SLO / Error Budget / Burn Rate
• Cloud Operations
• Kubernetes
• Docker
• Terraform / Infrastructure as Code
• Linux & Windows Administration
• Shell Scripting
• Python Scripting / Automation
• Production Deployment Support
• Blue-Green & Canary Deployments
• Network, Load Balancing & Database Troubleshooting

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Job Summary

We are looking for an experienced SRE DevOps Engineer to manage production infrastructure, improve system reliability, automate operational tasks, and support scalable cloud environments. The candidate should have strong experience in Site Reliability Engineering (SRE), DevOps tools, monitoring, incident management, and automation.

Key Responsibilities

• Monitor application and infrastructure performance to ensure high availability and reliability.
• Manage production incidents, troubleshooting, root cause analysis, and resolution.
• Implement and maintain CI/CD pipelines for automated deployments.
• Manage cloud infrastructure on AWS, Azure, or GCP.
• Automate repetitive operational tasks using Python, Shell, or Bash scripting.
• Work with Docker, Kubernetes, and container orchestration technologies.
• Implement monitoring and alerting using tools such as Prometheus, Grafana, Splunk, or Datadog.
• Manage infrastructure as code using Terraform or Ansible.
• Define and monitor SLIs, SLOs, and SLAs.
• Collaborate with development, infrastructure, and support teams to improve system reliability.
• Participate in on-call support and disaster recovery activities.

Mandatory Skills

• Site Reliability Engineering (SRE)
• DevOps and Production Support
• Linux/Unix Administration
• Cloud Platforms: AWS, Azure, or GCP
• CI/CD Tools: Jenkins, GitLab CI, or GitHub Actions
• Scripting: Python, Shell, or Bash
• Docker and Kubernetes
• Monitoring and Observability: Splunk, Grafana, Prometheus, or Datadog
• Incident Management and Root Cause Analysis