SRE at Vy Systems · Mumbai · 6 - 8 years · ₹15L - ₹20L / yr · Profitable · Posted 9 Oct 2026

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.

About Vy Systems
About
Vy Systems is an accelerating global IT firm serving customers over 2 decades with Tech Consulting, Talent Sourcing, Software Training, IT Management Services and much more.
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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.
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.
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
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.
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 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.
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
Job Summary
We are looking for an experienced Site Reliability Engineer (SRE) with strong expertise in networking, DNS, load balancing, and hybrid cloud environments. The candidate will be responsible for maintaining the reliability, availability, performance, and scalability of production infrastructure and services.
The ideal candidate should have strong troubleshooting skills and experience working across network, cloud, infrastructure, and application environments.
Key Responsibilities
- Monitor and maintain the availability and reliability of production systems and services.
- Troubleshoot complex network, infrastructure, and application connectivity issues.
- Manage and troubleshoot DNS services, DNS resolution, records, and configuration issues.
- Configure, manage, and troubleshoot Load Balancers and traffic routing.
- Work with Layer 4 and Layer 7 networking and understand TCP/IP, HTTP/HTTPS, routing, and network connectivity.
- Support hybrid cloud environments involving on-premises infrastructure and public cloud platforms.
- Troubleshoot connectivity between on-premises data centers and cloud environments.
- Participate in production incidents, troubleshooting, root cause analysis (RCA), and problem management.
- Develop automation scripts and tools to reduce manual operational activities.
- Configure and maintain monitoring, alerting, and observability solutions.
- Work closely with Network, Cloud, DevOps, Security, and Application teams.
- Participate in on-call support and resolve production issues within defined SLAs.
- Document infrastructure, troubleshooting procedures, incident reports, and operational processes.
- Identify opportunities to improve system reliability, performance, and scalability.
Site reliability engineer - Experience: 8+ Years
Location: Hyderabad / Bangalore
Mandatory Skills: Production Support, SRE, Linux/Unix, AI/ML Infrastructure Knowledge








