Associate Architect – Site Reliability Engineer (SRE) at NAM Info Pvt Ltd · Bengaluru (Bangalore) · 9 - 14 years · ₹5L - ₹25L / yr · Profitable · Posted 4 Aug 2026
Docker
Python
grafanaAssociate Architect – Site Reliability Engineer (SRE)
Experience: 10–14 Years
Location: Bangalore
Required Skills
- 8–14+ years of experience in Site Reliability Engineering (SRE), DevOps, or Cloud Engineering.
- Strong hands-on experience with AWS (EKS, EC2, S3, VPC) and Kubernetes.
- Expertise in Docker, Terraform, Ansible, and Linux administration.
- Experience building and maintaining CI/CD pipelines using Jenkins or GitHub Actions.
- Strong programming skills in Python, Java, or TypeScript.
- Experience with Monitoring & Observability tools like Prometheus, Grafana, Datadog, New Relic, Honeycomb, or ELK.
- Hands-on experience defining and managing SLIs, SLOs, SLAs, proactive monitoring, and incident management.
- Good knowledge of SQL/NoSQL, OpenSearch, Elasticsearch, and AWS S3.
- Experience troubleshooting production issues, RCA, and automation of operational tasks.
- Strong communication skills and ability to work closely with development teams.
Key Responsibilities
- Design, build, and maintain highly available, scalable cloud infrastructure.
- Manage and optimize Kubernetes (EKS) clusters and containerized applications.
- Develop Infrastructure as Code (IaC) using Terraform and Ansible.
- Automate deployments, monitoring, and operational tasks using Python and CI/CD tools.
- Implement SLIs, SLOs, monitoring dashboards, alerting, and observability solutions.
- Troubleshoot production incidents, perform Root Cause Analysis (RCA), and reduce MTTR.
- Support developers with infrastructure architecture, scalability, and reliability improvements.
- Participate in on-call support and production issue resolution.
AI / GenAI (Preferred)
- Experience implementing AIOps solutions for intelligent monitoring and incident management.
- Hands-on experience using GenAI/LLMs (OpenAI, Azure OpenAI, Amazon Q, Vertex AI, etc.) for:
- Automated log analysis
- Incident troubleshooting
- Root Cause Analysis (RCA)
- Runbook automation
- Predictive monitoring and alerting
- Experience integrating AI solutions into DevOps/SRE workflows is an added advantage.
Good to Have
- Istio / Service Mesh
- GitHub Actions
- Datadog / Honeycomb / New Relic
- Elasticsearch / OpenSearch
- Experience in cloud architecture and platform engineering
- Exposure to AI-based infrastructure automation and observability
Shubham Vishwakarma
Full Stack Developer - Averlon
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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.
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
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- Scripting using Python / Shell
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KubernetesRequired 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.
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.
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- 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.
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Job Spec:-
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Key Skills
Production Support, Incident Management, Splunk, APM, SLI/SLO, Cloud, Kubernetes, Docker, Terraform, Linux/Windows Administration, Shell Scripting and Python.
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KubernetesDockerJob 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.
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KubernetesAmazon Web Services (AWS)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
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- 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.
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- 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
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- Shell Scripting
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- Network, Load Balancing & Database Troubleshooting
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
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon