SRE/Production Support Engineer at Codnatives · Hyderabad · 5 - 10 years · ₹4L - ₹15L / yr · Profitable · Posted 17 Oct 2026

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:

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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
Site Reliability Engineer (SRE) / Production Support Engineer
Experience: 5–10 Years
Location: Hyderabad
Work Mode: Face-to-Face Drive
Shift: Rotational Shifts
Job Description
Looking for an experienced SRE / Production Support Engineer with strong experience in application and production support, incident management, monitoring, troubleshooting, and cloud operations.
Key Skills
Production Support, Incident Management, Splunk, APM, SLI/SLO, Cloud, Kubernetes, Docker, Terraform, Linux/Windows Administration, Shell Scripting and Python.
Good understanding of production deployments, batch monitoring, network/load balancing, and troubleshooting is required.
Candidates from SRE, Production Support, Application Support, Cloud Operations, or DevOps backgrounds are preferred.
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.
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.
Job Summary
We are looking for an experienced SRE / DevOps Engineer with strong expertise in production support, site reliability engineering, cloud infrastructure, automation, and monitoring. The candidate should have experience maintaining highly available systems, troubleshooting production issues, and improving infrastructure reliability and performance.
Mandatory Skills
- Site Reliability Engineering (SRE)
- DevOps Engineering
- Production Support
- Linux Administration
- Cloud Infrastructure (AWS / Azure / GCP)
- Kubernetes and Docker
- CI/CD pipelines
- Monitoring and Observability
- Scripting using Python / Shell
- Incident Management and Root Cause Analysis
Key Responsibilities
- Monitor and maintain the availability, reliability, and performance of applications and infrastructure.
- Handle production incidents, troubleshoot issues, and perform root cause analysis.
- Manage and automate infrastructure deployment and operational tasks.
- Work with CI/CD pipelines and container orchestration platforms.
- Implement monitoring, alerting, and observability solutions.
- Collaborate with development and operations teams to improve system reliability.
- Support cloud infrastructure, Linux environments, and production deployments.
- Identify recurring issues and implement preventive measures to reduce downtime.
Job Description
Role: Site Reliability Engineer (SRE)
Experience: 8+ Years
Location: Bangalore
Notice Period: Immediate Joiners Only
Key Responsibilities
- Implement reliability practices across applications and cloud platforms.
- Monitor and troubleshoot production systems using observability tools.
- Manage incidents, perform root cause analysis (RCA), and prepare post-incident reports.
- Develop and maintain CI/CD pipelines and automate operational tasks.
- Improve system availability, performance, scalability, and operational stability.
- Develop proof-of-concepts and convert them into production-ready solutions.
- Collaborate with engineering teams to improve reliability and reduce operational toil.
- Use AI tools responsibly to enhance operational efficiency and productivity.
Required Skills
- Strong SRE fundamentals and production support experience.
- Hands-on experience with AWS cloud services and best practices.
- Observability tools: Splunk, Grafana, and Datadog.
- Understanding of metrics, logs/events, and distributed tracing.
- Familiarity with Amazon Connect and contact center technologies, including voice, call recording, and telephony.
- CI/CD tools: Jenkins/Jules; source control: Git/Bitbucket.
- Scripting and automation skills are preferred.
- Experience in incident management, troubleshooting, and RCA documentation.
- Cloud certification or experience supporting cloud-based applications.
- Familiarity with AI concepts and responsible AI tool usage.
Site reliability engineer - Experience: 8+ Years
Location: Hyderabad / Bangalore
Mandatory Skills: Production Support, SRE, Linux/Unix, AI/ML Infrastructure Knowledge
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
Job Spec:-
- Strong SRE fundamentals with hands-on experience applying reliability practices across applications and platforms
- Familiarity with Amazon Connect and contact center technologies, including voice, call recording, and telephony
- Demonstrated expertise in service instrumentation and operating observability platforms (Splunk, Grafana, Datadog), with solid understanding of metrics, logs/events, and traces
- Strong proficiency with AWS cloud services and operational best practices
- Hands-on experience with CI/CD pipelines and source control (Jenkins/Jules; Git/Bitbucket)
- Scripting/automation skills (preferred) to reduce toil and improve operational efficiency
- Ability to rapidly develop proof-of-concepts and mature them into stable, production-ready solutions
- Cloud certification and/or strong experience supporting cloud-based applications (public and/or private cloud)
- Proven incident management experience, including clear communications and writing thorough RCAs (post-incident reports)
- Familiarity with AI concepts and responsible use of AI tools to improve operations and productivity
We are looking for an experienced SRE / DevOps Engineer with strong expertise in production support, site reliability engineering, cloud infrastructure, automation, and monitoring. The candidate should have experience maintaining highly available systems, troubleshooting production issues, and improving infrastructure reliability and performance.
Mandatory Skills
- Site Reliability Engineering (SRE)
- DevOps Engineering
- Production Support
- Linux Administration
- Cloud Infrastructure (AWS / Azure / GCP)
- Kubernetes and Docker
- CI/CD pipelines
- Monitoring and Observability
- Scripting using Python / Shell
- Incident Management and Root Cause Analysis










