Virtana is looking for a Senior DevOps Engineer to join our R&D Infrastructure team. In this role, you won't just follow conventions — you'll help redefine them. You will own the architecture, build, and day-to-day operations of the GCP-based cloud platform that powers Virtana's SaaS products and the AI-driven observability experience our Global 2000 customers depend on. This is a hands-on senior individual contributor role with meaningful technical leadership scope, working alongside engineers and architects on a unified observability platform.
Work Location: Pune
Job Type: Hybrid
Role Responsibilities:
GCP Cloud Operations: Develop, deploy, operate, and support production cloud infrastructure primarily on GCP — leveraging GKE, BigTable, BigQuery, Dataflow, Cloud Storage, IAM, and core networking services.
Reliability & SLAs: Ensure production systems are running at all times with multiple levels of redundancy to meet committed SLAs; lead incident response, root cause analysis, and post-incident reviews.
Build & Release Automation: Design, implement, and continuously improve scalable CI/CD pipelines and test frameworks leveraged by QA and development teams across the company.
Infrastructure as Code: Manage large-scale, repeatable deployments using Terraform, Ansible, Puppet, or SaltStack; champion Git-based workflows and version control standards for distributed engineering teams.
Security & Availability: Maintain the ongoing maintenance, security, patching, and availability of services in line with tight operations, security, and procedural models.
Monitoring & Alerting: Plan and deliver high-value monitoring and alerting features to support operations, support, and customer-facing reliability — eating our own dog food with the Virtana Platform wherever possible.
Capacity & Cost: Forecast capacity, plan upgrades, patches, and migrations, and drive cloud cost efficiency across hybrid and multi-cloud environments.
Cross-Functional Partnership: Work with development, operations, and support personnel to identify, isolate, and diagnose issues; handle support escalations and drive permanent fixes.
Required Qualifications:
Bachelor's degree in Computer Science / Engineering or equivalent relevant experience.
5–7 years of professional hands-on DevOps / SRE experience supporting production cloud environments.
Strong, demonstrable production experience on GCP — including GKE, BigTable, BigQuery, Dataflow, IAM, and core GCP networking services.
Deep, hands-on expertise with container orchestration (Kubernetes) and Docker in production.
Advanced proficiency with at least one infrastructure-as-code / configuration management tool: Terraform, Ansible, Puppet, or SaltStack.
Solid understanding of networking, firewalls, load balancers, DNS, and database operations.
Strong working knowledge of Git-based workflows and version control standards for distributed engineering teams.
Comfort operating hybrid environments that include both Linux and Windows ecosystems.
Excellent verbal and written communication skills, with the ability to explain highly technical topics to both technical and non-technical audiences.
Self-motivated, detail-oriented, and able to work both independently and within a globally distributed team.
Good to Have:
Strong scripting skills and a demonstrated ability to automate operational toil — Python preferred; Bash, Go, or Groovy a plus.
Hands-on experience designing and operating CI/CD pipelines with Jenkins (Spinnaker, GitHub Actions, or GitLab CI also welcome).
Exposure to AWS or other public clouds in addition to GCP.
Experience operating SaaS platforms built on microservices architectures.
As a DevOps Engineer focused on Perforce to GitHub migration, you will be responsible for executing seamless and large-scale source control migrations. You must be proficient with GitHub Enterprise and Perforce, possess strong scripting skills (Python/Shell), and have a deep understanding of version control concepts.
The ideal candidate is a self-starter, a problem-solver, and thrives on challenges while ensuring smooth transitions with minimal disruption to development workflows.
Key Responsibilities:
Analyze and prepare Perforce repositories — clean workspaces, merge streams, and remove unnecessary files.
Handle large files efficiently using Git Large File Storage (LFS) for files exceeding GitHub’s 100MB size limit.
Use git-p4 fusion (Python-based tool) to clone and migrate Perforce repositories incrementally, ensuring data integrity.
Define migration scope — determine how much history to migrate and plan the repository structure.
Manage branch renaming and repository organization for optimized post-migration workflows.
Collaborate with development teams to determine migration points and finalize migration strategies.
Troubleshoot issues related to file sizes, Python compatibility, network connectivity, or permissions during migration.
Required Qualifications:
Strong knowledge of Git/GitHub and preferably Perforce (Helix Core) — understanding of differences, workflows, and integrations.
Hands-on experience with P4-Fusion.
Familiarity with cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes).
Proficiency in migration tools such as git-p4 fusion — installation, configuration, and troubleshooting.
Ability to identify and manage large files using Git LFS to meet GitHub repository size limits.
Strong scripting skills in Python and Shell for automating migration and restructuring tasks.
Experience in planning and executing source control migrations — defining scope, branch mapping, history retention, and permission translation.
Familiarity with CI/CD pipeline integration to validate workflows post-migration.
Understanding of source code management (SCM) best practices, including version history and repository organization in GitHub.
Excellent communication and collaboration skills for cross-team coordination and migration planning.
Proven practical experience in repository migration, large file management, and history preservation during Perforce to GitHub transitions.
Preferred Education & Experience: • Bachelor’s or master’s degree in Computer Engineering, Computer Science, Computer Applications, Mathematics, Statistics or related technical field or equivalent practical experience. Relevant experience of at least 3 years in lieu of above if from a different stream of education. • Well-versed in DevOps principals & practices and hands-on DevOps tool-chain integration experience: Release Orchestration & Automation, Source Code & Build Management, Code Quality & Security Management, Behavior Driven Development, Test Driven Development, Continuous Integration, Continuous Delivery, Continuous Deployment, and Operational Monitoring & Management; extra points if you can demonstrate your knowledge with working examples. • Hands-on experience with demonstrable working experience with DevOps tools and platforms viz., Slack, Jira, GIT, Jenkins, Code Quality & Security Plugins, Maven, Artifactory, Terraform, Ansible/Chef/Puppet, Spinnaker, Tekton, StackStorm, Prometheus, Grafana, ELK, PagerDuty, VictorOps, etc. • Well-versed in Virtualization & Containerization; must demonstrate experience in technologies such as Kubernetes, Istio, Docker, OpenShift, Anthos, Oracle VirtualBox, Vagrant, etc. • Well-versed in AWS and/or Azure or and/or Google Cloud; must demonstrate experience in at least FIVE (5) services offered under AWS and/or Azure or and/or Google Cloud in any categories: Compute or Storage, Database, Networking & Content Delivery, Management & Governance, Analytics, Security, Identity, & Compliance (or) equivalent demonstratable Cloud Platform experience. • Well-versed with demonstrable working experience with API Management, API Gateway, Service Mesh, Identity & Access Management, Data Protection & Encryption, tools & platforms. • Hands-on programming experience in either core Java and/or Python and/or JavaScript and/or Scala; freshers passing out of college or lateral movers into IT must be able to code in languages they have studied. • Well-versed with Storage, Networks and Storage Networking basics which will enable you to work in a Cloud environment. • Well-versed with Network, Data, and Application Security basics which will enable you to work in a Cloud as well as Business Applications / API services environment. • Extra points if you are certified in AWS and/or Azure and/or Google Cloud.
Seeking an Individual carrying around 5+ yrs of experience.
Must have skills -Jenkins, Groovy, Ansible, Shell Scripting, Python, Linux Admin
Terraform, AWS deep knowledge to automate and provision EC2, EBS, SQL Server, cost optimization, CI/CD pipeline using Jenkins, Server less automation is plus.
Excellent writing and communication skills in English. Enjoy writing crisp and understandable documentation
Comfortable programming in one or more scripting languages
Enjoys tinkering with tooling. Find easier ways to handle systems by doing some research. Strong awareness around build vs buy.
Varivas is a community that allows users to create, support, and recommend content. The mission of Varivas is to give community freedom, ease, and complete control of their content.
Varivas is an early-stage startup looking for its first few members.
Position: Cloud Analyst Level 1 Location – Pune Experience - 1.5 to 3 YR Payroll: Direct with Client Salary Range: 3 to 5 Lacs (depending on existing) Role and Responsibility • Good understanding and Experience on AWS CloudWatch for ES2, Amazon Web Services, and Resources, and other sources. • Collect and Store logs • Monitor and Store Logs • Log Analyze • Configure Alarm • Configure Dashboard • Preparation and following of SOP's, Documentation. • Good understanding AWS in DevOps. • Experience with AWS services ( EC2, ECS, CloudWatch, VPC, Networking ) • Experience with a variety of infrastructure, application, and log monitoring tools ~ Prometheus, Grafana, • Familiarity with Docker, Linux, and Linux security • Knowledge and experience with container-based architectures like Docker • Experience on performing troubleshooting on AWS service. • Experience in configuring services in AWS like EC2, S3, ECS • Experience with Linux system administration and engineering skills on Cloud infrastructure • Knowledge of Load Balancers, Firewalls, and network switching components • Knowledge of Internet-based technologies - TCP/IP, DNS, HTTP, SMTP & Networking concepts • Knowledge of security best practices • Comfortable 24x7 supporting Production environments • Strong communication skills
○ Develop best practices for team and also responsible for the architecture
○ solutions and documentation operations in order to meet the engineering departments quality and standards
○ Participate in production outage and handle complex issues and works towards Resolution
○ Develop custom tools and integration with existing tools to increase engineering Productivity
Required Experience and Expertise
○ Having a good knowledge of Terraform + someone who has worked on large TF code bases.
○ Deep understanding of Terraform with best practices & writing TF modules.
○ Hands-on experience of GCP and AWS and knowledge on AWS Services like VPC and VPC related services like (route tables, vpc endpoints, privatelinks) EKS, S3, IAM. Cost aware mindset towards Cloud services.
○ Deep understanding of Kernel, Networking and OS fundamentals
Designing and building infrastructure to support AWS, Azure, and GCP-based Cloud services and infrastructure.
Creating and utilizing tools to monitor our applications and services in the cloud including system health indicators, trend identification, and anomaly detection.
Working with development teams to help engineer scalable, reliable, and resilient software running in the cloud.
Participating in on-call escalation to troubleshoot customer-facing issues
Analyzing and monitoring performance bottlenecks and key metrics to optimize software and system performance.
Providing analytics and forecasts for cloud capacity, troubleshooting analysis, and uptime.
Skills
Should have strong experience of a couple of years, in leading DevOps team and planning, defining DevOps roadmap and executing as per the same along with the team
Familiarity with AWS cloud and JSON templates, Python, AWS Cloud formation templates
Designing solutions using one or more AWS features, tools, and technologies such as EC2, EBS, Glacier, S3, ELB, CloudFormation, Lambada, CloudWatch, VPC, RDS, Direct Connect, AWS CLI, REST API
Design and implement system architecture with AWS cloud - Develop automation scripts, ARM templates, Ansible, Chef, Python, Powershell Knowledge of AWS services and cloud design patterns- Knowledge on Cloud fundamentals like autoscaling, serverless
Have experience with DevOps and Infrastructure as Code: AWS environment and application automation utilizing CloudFormation and third-party tools. CI/CD pipeline setup utilizing
CI experience with the following is a must: Jenkins, Bitbucket/GIT, Nexus or Artifactory, SonarQube, WireMock or other mocking solution
Expert knowledge on Windows/Linux OS/Mac with at least 5-6 years of system administration experience
Should have strong skills in using JIRA build tool
Should have knowledge in managing the CI/CD pipeline on public cloud deployments using AWS
Should have strong skills in using tools like Jenkins, Docker, Kubernetes (AWS EKS, Azure AKS), and Cloudformation.
Experience in monitoring tools like Pingdom, Nagios, etc.
Experience in reverse proxy services like Nginx and Apache
Desirable experience in Bitbucket with version control tools like GIT/SVN
Experience of manual/automated testing desired application deployments
Experience in database technologies such as PostgreSQL, MySQL
Knowledge of helm and terraform
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