FK0615 (1)- Sr. Devops Engineer at EnterpriseMinds · Bengaluru (Bangalore) · 5 - 9 years · ₹5L - ₹20L / yr · Profitable · Posted 24 Aug 2022

Description
DevOps Engineer / SRE
- Understanding of maintenance of existing systems (Virtual machines), Linux stack
- Experience running, operating and maintainence of Kubernetes pods
- Strong Scripting skills
- Experience in AWS
- Knowledge of configuring/optimizing open source tools like Kafka, etc.
- Strong automation maintenance - ability to identify opportunities to speed up build and deploy process with strong validation and automation
- Optimizing and standardizing monitoring, alerting.
- Experience in Google cloud platform
- Experience/ Knowledge in Python will be an added advantage
- Experience on Monitoring Tools like Jenkins, Kubernetes ,Nagios,Terraform etc

About EnterpriseMinds
About
Enterprise Minds, with core focus on engineering products, automation and intelligence, partners customers on the trajectory towards increasing outcomes, relevance and growth.
Harnessing the power of Data and the forces that define AI, Machine Learning and Data Science, we believe in institutionalising go-to-market models and not just explore possibilities.
We believe in a customer-centric ethic without and people-centric paradigm within. With a strong sense of community, ownership and collaboration our people work in a spirit of co-creation, co-innovation and co-development to engineer next-generation software products with the help of accelerators.
Through Communities we connect and attract talent that shares skills and expertise. Through Innovation Labs and global design studios we deliver creative solutions.
We create vertical isolated pods which has narrow but deep focus. We also create horizontal pods to collaborate and deliver sustainable outcomes.
We follow Agile methodologies to fail fast and deliver scalable and modular solutions. We constantly self-asses and realign to work with each customer in the most impactful manner.
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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 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.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
🚀 Job Title : DevOps Engineer / Site Reliability Engineer (SRE)
Experience Level : 4+ Years
Location : Gurugram Sector 48, Haryana (On-site)
Employment Type : Full Time Opportunity
About the Role :
We are looking for a proactive DevOps / Site Reliability Engineer (SRE) with around 4 years of hands-on experience designing, automating, and scaling cloud infrastructure and CI/CD delivery pipelines.
In this role, you will bridge the gap between development and operations. You will be responsible for orchestrating containerized applications, automating infrastructure via Code (IaC), establishing SRE best practices (SLIs, SLOs, SLAs), and ensuring maximum uptime, resiliency, and operational efficiency across multi-cloud environments (AWS/Azure/GCP).
Mandatory Skills :
AWS, Kubernetes, Docker, Terraform, Ansible, Jenkins, GitLab CI/CD, GitHub Actions, Python, Bash, CI/CD, Infrastructure as Code (IaC), Grafana, Prometheus, ELK, New Relic, CloudWatch, SRE, SLI/SLO/SLA, Linux
Key Responsibilities :
1. Cloud Infrastructure & Infrastructure as Code (IaC) :
- Provision, configure, and maintain scalable, high-availability infrastructure on multi-cloud platforms, primarily AWS (EC2, VPC, IAM, S3, RDS, Route53, ALB/ASG, Lambda, EBS).
- Build, deploy, and manage Infrastructure as Code (IaC) using Terraform, Ansible, and CloudFormation to enforce consistency and eliminate configuration drift.
- Execute disaster recovery (DR) planning, automated failover / failback mechanisms, and chaos engineering exercises to validate system resiliency.
2. CI/CD, Automation & Development :
- Design, end-to-end maintain, and optimize robust CI/CD pipelines using Jenkins, GitLab CI, and GitHub Actions.
- Automate release pipelines, versioning, branching strategies, and approval gates using Groovy, Python, and Bash scripting. Integrate automated code quality and security scanning tools (SonarQube, Black Duck, or Fortify) directly into delivery pipelines.
- Develop custom tools, scripts, or microservices (e.g., Python / Node.js) to automate manual operational tasks and operational toil.
3. Containerization & Orchestration :
- Onboard and orchestrate containerized microservices utilizing Docker and Kubernetes (including Helm charts).
- Ensure high availability, auto-scaling, resource management, and fault tolerance for Kubernetes pod deployments.
4. Observability, SRE & Incident Management :
- Drive Site Reliability Engineering (SRE) maturity by establishing, tracking, and reporting SLIs, SLOs, and SLAs with cross-functional engineering teams.
- Build, configure, and manage full-stack observability tools : Grafana, Prometheus, New Relic, Elasticsearch / Logstash / Kibana (ELK), Sentry, and AWS CloudWatch.
- Set up real-time alerting, custom metric dashboards, and automated log rotation / pruning scripts.
- Handle production incidents, lead Root Cause Analysis (RCA) investigations, and implement preventive measures to reduce Mean Time to Resolution (MTTR).
Required Qualifications & Skills :
- Education : Bachelor’s Degree in Electronics and Communication Engineering, Computer Science, or a related technical field.
- Experience : ~4 years of experience in DevOps, SRE, or Cloud System Administration roles.
- Cloud & Infrastructure : Hands-on experience with AWS (Core services like EC2, S3, VPC, RDS, IAM, Lambda, Auto Scaling) and exposure to Azure / GCP.
- CI/CD & Version Control : Proficiency with Jenkins, GitLab CI, GitHub Actions, and Git workflows.
- Containerization : Core proficiency in Docker and Kubernetes cluster management / onboarding.
- Infrastructure as Code : Expertise in Ansible, Terraform, or AWS CloudFormation.
- Scripting & Languages : Strong hands-on automation skills with Python, Bash, and foundational knowledge of Node.js, Java or C++.
- Observability & Logging : Strong experience with Grafana, Prometheus, New Relic, ELK stack, or Splunk.
- Database & SQL : Familiarity with relational databases (MySQL, RDS) for monitoring setup and operational analytics.
Job Summary:
We are looking for an experienced SRE DevOps Engineer with strong hands-on experience in cloud infrastructure, container orchestration, infrastructure automation, and CI/CD pipelines. The candidate should have expertise in Terraform, Kubernetes, Docker, scripting, and cloud platforms to build, deploy, and maintain scalable and reliable infrastructure.
Key Responsibilities:
- Design, implement, and maintain CI/CD pipelines for application deployment.
- Manage and automate infrastructure provisioning using Terraform.
- Deploy, configure, and manage containerized applications using Docker and Kubernetes.
- Work with cloud platforms such as AWS, Azure, or GCP.
- Develop automation scripts using Python, Bash, or Shell scripting.
- Implement Infrastructure as Code (IaC) practices for consistent and repeatable deployments.
- Configure monitoring and observability tools to track system performance and availability.
- Optimize infrastructure performance, scalability, and resource utilization.
- Collaborate with development teams to improve deployment workflows and operational efficiency.
Mandatory Skills:
- SRE / DevOps Engineering
- Terraform and Infrastructure as Code (IaC)
- Kubernetes
- Docker and containerization
- CI/CD tools and pipeline automation
- Cloud platforms: AWS / Azure / GCP
- Python, Bash, or Shell scripting
- Linux/Unix administration
Good-to-Have Skills:
- Ansible or other configuration management tools
- Helm and Kubernetes administration
- Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps
- Prometheus and Grafana
- Git and version control
- AWS EKS, Azure AKS, or Google GKE
Strong Hands-On DevOps Engineer Profile with deep Kubernetes and multi-cloud experience
2
Mandatory (Experience 1): Must have 6+ years of hands-on DevOps experience, deploying, operating, troubleshooting, and scaling enterprise SaaS environments.
3
Mandatory (Experience 2): Must be able to own end-to-end customer deployments across cloud and enterprise environments (the role covers cloud, BYOC, air-gapped, and data-center deployments).
4
Mandatory (Tech skill 1): Must have strong hands-on Kubernetes experience — troubleshooting, networking, workloads, storage, RBAC, and security
5
Mandatory (Tech skill 2): Must have hands-on Helm experience — deployment, templating, and troubleshooting.
6
Mandatory (Tech skill 3): Must have hands-on Terraform experience — infrastructure provisioning and automation
7
Mandatory (Tech skill 4): Must have strong Linux and cloud infrastructure troubleshooting skills
8
Mandatory (Tech skill 5): Must have hands-on experience with observability — metrics, logs, traces, and alerting
9
Mandatory (Tech skill 6): Must have hands-on experience with one or more of AWS / GCP / Azure / OCI
10
Mandatory (Tech skill 7): Must have a strong incident-management and production-troubleshooting mindset, with a "fix first, optimize later" approach to customer escalations.
11
Mandatory (Company): B2B SaaS product companies
12
Preferred (Enterprise deployments): Prior experience with BYOC, air-gapped, or restricted-network environments.
13
Preferred (Observability tools): Prometheus / Grafana / OpenTelemetry / ELK / OpenSearch / Datadog
14
Preferred (Other): GitOps / CI-CD; Python or Golang for automation; multi-tenant SaaS infrastructure scaling; exposure to AI/ML pipeline deployments or iPaaS / reverse ETL connectors; SRE concepts (SLIs/SLOs, DR, high availability
Devops + Python
Mandatory: Python+Kubernetes Containerisation+ DevOps Exposure+ Cloud Exposure(any)
4-8 years /16 LPA
10+ years /26 LPA
Bangalore/Hyderabad
immediate to 15 days.
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
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
DevOps / Infrastructure Engineer
Location: Chennai
Experience: 5+ Years
Role: DevOps / Infrastructure Engineer
Job Description
We are looking for an experienced DevOps / Infrastructure Engineer with strong hands-on experience in Linux administration, containerization, Kubernetes, automation, monitoring, and troubleshooting.
Mandatory Skills
- 5+ years of experience in DevOps / Infrastructure Administration
- Strong hands-on experience with Linux Administration
- Experience with Docker and Kubernetes
- Monitoring tools: AppDynamics, Prometheus, Grafana
- Strong Shell Scripting / Python Scripting skills
- Hands-on experience with Ansible 4.1
- Strong troubleshooting and problem-solving skills
- Experience in infrastructure/application monitoring and production support
- Good understanding of DevOps practices and automation
Key Responsibilities
- Manage and support Linux-based infrastructure and production environments.
- Deploy, manage, and troubleshoot applications using Docker and Kubernetes.
- Develop and maintain automation scripts using Shell/Python.
- Automate infrastructure and configuration management using Ansible.
- Monitor applications and infrastructure using AppDynamics, Prometheus, and Grafana.
- Perform root-cause analysis and resolve infrastructure/application issues.
- Handle incidents, troubleshoot performance issues, and ensure system availability.
- Collaborate with development and operations teams to improve deployment and operational processes.
Job Specification:
Work Experience: 7 to 10 Years
Work Location: Bangalore
Mode of Employment: Permanent
Education Qualification required: Any Degree
Job Description:
We are looking for an experienced DevOps Engineer with strong expertise in Linux, CI/CD, containerization, cloud platforms, Infrastructure as Code (IaC), and observability. The ideal candidate should have hands-on experience with Kubernetes, OpenShift, Terraform, scripting, DevSecOps, and modern monitoring practices.
Responsibilities:
- Manage and maintain Linux-based systems, cloud infrastructure, and production environments.
- Develop, maintain, and optimize CI/CD pipelines using Git and related automation tools.
- Deploy and manage containerized applications using Docker, Kubernetes (K8s), and OpenShift.
- Provision and manage cloud infrastructure on AWS and/or Microsoft Azure.
- Automate infrastructure provisioning and configuration using Terraform.
- Develop automation scripts using Python and Shell scripting.
- Implement observability and monitoring solutions using Prometheus, Grafana, AppDynamics, and Splunk.
- Troubleshoot production incidents, perform root cause analysis (RCA), and improve system reliability and availability.
- Implement DevSecOps practices, security controls, and vulnerability management across CI/CD pipelines.
- Manage cloud networking, connectivity, and infrastructure-related configurations.
- Support AIOps initiatives to improve incident detection, analysis, and operational efficiency.
- Manage SSL/TLS certificates, secrets, and secure credential rotation.
Required Skills:
- Strong hands-on experience with Linux.
- Good knowledge of Git and CI/CD pipelines.
- Experience with Docker, Kubernetes (K8s), and/or OpenShift.
- Working experience with AWS and/or Microsoft Azure.
- Hands-on experience with Terraform and Infrastructure as Code (IaC).
- Scripting knowledge in Python and/or Shell.
- Experience with Prometheus, Grafana, AppDynamics, and/or Splunk.
- Knowledge of DevSecOps, networking, and cloud security fundamentals.
- Understanding of AIOps concepts and automated operations.
- Experience with certificate lifecycle management and secrets management.
We are looking for an experienced DevOps Engineer with strong expertise in Linux, CI/CD, containerization, cloud platforms, Infrastructure as Code (IaC), and observability. The ideal candidate should have hands-on experience with Kubernetes, OpenShift, Terraform, scripting, DevSecOps, and modern monitoring practices.
Responsibilities:
- Manage and maintain Linux-based systems, cloud infrastructure, and production environments.
- Develop, maintain, and optimize CI/CD pipelines using Git and related automation tools.
- Deploy and manage containerized applications using Docker, Kubernetes (K8s), and OpenShift.
- Provision and manage cloud infrastructure on AWS and/or Microsoft Azure.
- Automate infrastructure provisioning and configuration using Terraform.
- Develop automation scripts using Python and Shell scripting.
- Implement observability and monitoring solutions using Prometheus, Grafana, AppDynamics, and Splunk.
- Troubleshoot production incidents, perform root cause analysis (RCA), and improve system reliability and availability.
- Implement DevSecOps practices, security controls, and vulnerability management across CI/CD pipelines.
- Manage cloud networking, connectivity, and infrastructure-related configurations.
- Support AIOps initiatives to improve incident detection, analysis, and operational efficiency.
- Manage SSL/TLS certificates, secrets, and secure credential rotation.
Required Skills:
- Strong hands-on experience with Linux.
- Good knowledge of Git and CI/CD pipelines.
- Experience with Docker, Kubernetes (K8s), and/or OpenShift.
- Working experience with AWS and/or Microsoft Azure.
- Hands-on experience with Terraform and Infrastructure as Code (IaC).
- Scripting knowledge in Python and/or Shell.
- Experience with Prometheus, Grafana, AppDynamics, and/or Splunk.
- Knowledge of DevSecOps, networking, and cloud security fundamentals.
- Understanding of AIOps concepts and automated operations.
- Experience with certificate lifecycle management and secrets management.











