Senior Manager- DevOps at Virtana · Pune · 12 - 20 years · Profitable · Posted 2 Nov 2026

Role Overview:
Virtana is seeking a Senior Manager, Global DevOps Engineering to lead the global team, platforms, and infrastructure that enable rapid, reliable product delivery. This leader will own DevOps strategy and execution across SaaS (GCP heavy, with presence in AWS and Azure) & on-premises Infrastructure, CI/CD, automation, reliability, security, and developer productivity, while aligning distributed teams and cross-functional stakeholders around measurable business outcomes.
Key Accountabilities:
- Strategy and Execution: Set the global DevOps roadmap and operating model, aligned with product, engineering, and business priorities.
- Global Leadership: Build, lead, and develop a high-performing team across geographies, with clear accountability and consistent engineering practices.
- Cloud and Platform Ownership: Own the architecture, reliability, security, scalability, and cost efficiency of global GCP and hybrid infrastructure.
- Software Delivery: Advance secure, standardized CI/CD, Infrastructure as Code, automation, and self-service capabilities to accelerate delivery and improve quality.
- Operational Excellence: Establish SLOs, observability, incident response, disaster recovery, governance and metrics for critical platforms. Own the global on-call program and serve as the escalation point for major incidents from SaaS Infra/DevOps side.
- Executive Partnership: Align stakeholders on priorities, investments, dependencies, and risk; communicate outcomes and tradeoffs to senior leadership.
Required Qualifications:
- 15+ years in software engineering, infrastructure, cloud operations, or DevOps, including 5+ years leading senior or management-level teams.
- Proven success in leading global teams across geographies, cultures, and time zones.
- Deep expertise in GCP architecture, security, networking, reliability, and cost governance.
- Demonstrated ownership of enterprise CI/CD, build and release automation, and modern software delivery practices.
- Strong experience with Terraform or equivalent Infrastructure as Code, Kubernetes, containers, observability, SRE, and disaster recovery.
- Track record operating secure, resilient global infrastructure for fast-paced development and release environments.
- Daily hands-on use of AI tools (e.g., Claude) for IaC, CI/CD pipelines and incident response, with a record of driving AI adoption that improves delivery speed and quality.
- Executive-level communication and stakeholder leadership, with the ability to align priorities, resolve tradeoffs, and develop strong leaders.

About Virtana
About
Virtana is the leader in observability for hybrid infrastructure. The AI-powered Virtana Platform delivers a unified view across applications, services, and underlying infrastructure, correlating user impact, service dependencies, performance bottlenecks, and cost drivers in real time. Trusted by Global 2000 enterprises, Virtana helps IT, operations, and platform teams improve efficiency, reduce risk, and make faster, AI-driven decisions across complex, dynamic environments. Learn more at virtana.com.
Virtana is proud to be an Equal Opportunity Employer. We value diversity and are committed to creating an inclusive environment for all employees.
Recent Milestones
- Acquired Zenoss to build a unified observability platform combining deep infrastructure analytics, AI-driven intelligence, and end-to-end service visibility.
- Launched AI Factory Observability (AIFO) to address the performance, cost, risk, and visibility challenges of AI infrastructure across GPU-driven and hybrid environments.
- Recognized as Best Hybrid Cloud Solution (2025) by The Cloud Awards.
- First to extend Agentic AI across the Enterprise Stack, enabling autonomous, full-stack intelligence.
- Patented Full-Stack Cloud Optimization for AI Environments, driving smarter performance and cost efficiency for modern AI workloads.
Tech stack
Candid answers by the company
Virtana builds the industry’s deepest hybrid infrastructure observability platform, giving enterprises unmatched visibility into their complex IT environments -whether on‑premises, in the cloud, or across both.
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Required Skills & Qualifications
- Experience: 10+ years in Cloud Engineering, Infrastructure, or DevOps, with strong hands-on GCP experience.
- GCP Expertise: GKE, Compute Engine, IAM, VPC, Cloud Storage, Cloud SQL, Cloud Run, Cloud Functions, and Load Balancing.
- Kubernetes & Containers: GKE, Docker, Kubernetes networking, Helm, and troubleshooting.
- DevOps & IaC: Azure DevOps, Terraform, CI/CD pipelines, and infrastructure automation.
- Scripting: Python, Bash, or PowerShell.
- Security & Operations: Cloud security, IAM, monitoring, incident management, and cost optimization.
- Leadership & Ownership: Proven experience in team leadership, cross-functional collaboration, stakeholder management, managing multiple product-line deliverables, and handling competing priorities and ad hoc requests.
- Additional Advantage: Experience with Microsoft Azure.
We are seeking a highly skilled and experienced DevOps Engineer to join our development team.
Years of experience needed: 8+ Yrs
Required Skills
Strong experience with GitLab, TeamCity, Terraform, Kubernetes and Docker
Proficiency in various deployment strategies and CI/CD pipeline setups
Solid understanding of Linux administration and Windows IIS.
Advanced scripting skills in bash and PowerShell
Hands-on experience with Google Cloud Platform (GCP) services, particularly GKE, GCS, GCE, Cloud SQL, and load balancers
Familiarity with Autosys for job scheduling and automation
Excellent problem-solving and troubleshooting skills
Ability to work independently and collaboratively in a fast-paced environment
- • Strong communication and interpersonal skills.
We are looking for a Lead DevOps Engineer with strong hands-on experience in AWS, GCP, CI/CD, Kubernetes, Docker, Terraform, Pulumi and DevSecOps. The candidate will lead DevOps teams, drive technical delivery with client stakeholders, design scalable and secure cloud infrastructure, and establish best practices for automation, deployment, reliability, and cost optimization across cloud environments.
### Key Responsibilities
* Lead and mentor DevOps engineers, drive technical execution, and ensure timely delivery of client requirements.
* Engage with client teams and architects to understand requirements, provide technical guidance, and drive solution design and implementation.
* Design, implement, and optimize CI/CD pipelines, GitOps workflows, and automated release processes.
* Architect and manage cloud infrastructure across AWS and GCP (Azure optional) using Infrastructure as Code.
* Lead containerization and orchestration initiatives using Docker, Kubernetes, and Helm.
* Drive DevSecOps, observability, SRE practices, disaster recovery, and cloud cost optimization.
* Troubleshoot complex production issues, drive root cause analysis, and ensure system reliability, security, and performance.
* Collaborate with Development, QA, Security, Architecture, and client teams to drive engineering standards and continuous improvement.
### Mandatory Skills
* 7-9 years of experience in DevOps, Cloud Engineering, or Platform Engineering, including team leadership and client-facing responsibilities.
* Strong hands-on experience with AWS and GCP, including cloud infrastructure, networking, security, and managed services.
* Expertise in CI/CD tools such as Jenkins, Azure DevOps, GitLab CI/CD, GitHub Actions, or equivalent platforms.
* Strong experience with Docker, Kubernetes, Helm, and managed Kubernetes services such as AKS, EKS, or GKE.
* Hands-on expertise in Terraform and Ansible, with experience in Infrastructure as Code and configuration management.
* Experience with GitOps practices and tools such as Argo CD or Flux.
* Strong understanding of Git, branching strategies, release management, and deployment automation.
* Experience implementing DevSecOps practices, including security scanning, secrets management, and vulnerability management.
* Experience with monitoring, logging, alerting, production troubleshooting, and root cause analysis.
* Proficiency in Linux administration, networking fundamentals, and Bash/Python/PowerShell scripting.
* Proven ability to lead teams, manage priorities, communicate with clients, and drive technical decisions independently.
independently.
### Preferred Skills
* Knowledge of SAST/DAST, SBOM, software supply chain security, and security policy enforcement.
* Experience with observability tools such as Prometheus, Grafana, ELK Stack, Datadog, or Splunk.
* Experience with cloud migrations, hybrid environments, disaster recovery, high availability, and cost optimisation.
* Knowledge of service mesh technologies such as Istio or Consul, and API gateways or application gateways.
* Experience with enterprise cloud security, IAM, network security, and infrastructure
Job Title: DevOps Manager
Experience: 8+ Years
Location: Pune
Employment Type: Full-time
About the Role
We are looking for an experienced DevOps Manager with strong hands-on technical expertise and leadership capabilities to manage cloud infrastructure, automation, CI/CD, deployments, and platform reliability. The ideal candidate should have strong experience in Shell Scripting, cloud platforms, Kubernetes, Terraform, and production DevOps environments.
Key Responsibilities
• Lead and mentor the DevOps engineering team.
• Design, implement, and optimize CI/CD pipelines and deployment processes.
• Manage scalable and highly available cloud infrastructure across AWS / Azure / GCP.
• Drive Infrastructure as Code (IaC) using Terraform and configuration automation using Ansible.
• Manage Docker and Kubernetes based environments.
• Develop and maintain automation scripts using Shell/Bash Scripting and Python.
• Implement monitoring, logging, alerting, and observability.
• Handle production incidents, troubleshooting, root cause analysis, and preventive actions.
• Drive infrastructure security, performance, scalability, and cloud cost optimization.
• Collaborate with Development, QA, Security, Architecture, and Delivery teams.
Required Skills & Qualifications
• 8+ years of experience in DevOps, Cloud Engineering, Platform Engineering, or related roles.
• Strong hands-on experience in Shell / Bash Scripting.
• Experience with AWS / Azure / GCP cloud platforms.
• Strong knowledge of CI/CD tools such as Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps.
• Hands-on experience with Docker, Kubernetes, and Helm.
• Strong experience with Terraform and Ansible.
• Experience with Linux administration, Git, networking, IAM, and cloud security.
• Experience with monitoring tools such as Prometheus, Grafana, ELK, or equivalent.
• Strong troubleshooting, communication, stakeholder management, and team leadership skills.
Preferred Skills (Nice to Have)
• Python scripting experience.
• Cloud / Kubernetes / Terraform certifications.
• Experience with SRE, observability, high-availability architecture, and cloud cost optimization.
Build production-grade cloud infrastructure that powers enterprise applications with cutting-edge DevOps practices.
What you'll do:
- Design CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI)
- Containerize apps with Docker, deploy on Kubernetes clusters
- Manage infrastructure as code (Terraform, CloudFormation)
- Set up monitoring (Prometheus, Grafana, ELK Stack)
- Cloud migrations (AWS EC2, EKS, RDS → GCP equivalent)
- Optimize costs and performance for live production systems
What we need:
- Basic Python/Bash scripting
- Docker basics, Git workflows
- Cloud exposure (AWS/GCP/Azure free tier projects)
- Problem-solving mindset, eagerness to learn
Real impact:
- Deploy apps used by 1000+ daily users
- Work with senior DevOps engineers on client deliverables
- Build portfolio for FAANG-level interviews
Job Summary
We are looking for an experienced DevOps Engineer with strong expertise in Linux administration, CI/CD automation, containerization, Kubernetes, cloud platforms, and Infrastructure as Code (IaC). The candidate should have experience in observability, DevSecOps practices, networking, AIOps, and certificate and secret management.
Mandatory Skills
- Strong experience in Linux administration and troubleshooting.
- Hands-on experience with Git and version control systems.
- Strong knowledge of CI/CD pipelines and automation.
- Experience with Docker and containerization.
- Hands-on experience with Kubernetes and/or OpenShift.
- Cloud experience with AWS and/or Microsoft Azure.
- Infrastructure as Code (IaC) using Terraform.
- Scripting experience using Python and Shell scripting.
- Monitoring and observability tools such as Prometheus, Grafana, AppDynamics, and Splunk.
Additional Skills
- Knowledge of DevSecOps practices and security integration into CI/CD pipelines.
- Understanding of networking concepts and troubleshooting.
- Exposure to AIOps and intelligent monitoring solutions.
- Experience with certificate management and secrets management.
- Knowledge of infrastructure automation, deployment, and performance monitoring.
- Strong troubleshooting, problem-solving, and collaboration skills.
Key Responsibilities
- Design, implement, and maintain CI/CD pipelines for automated build and deployment processes.
- Manage and troubleshoot Linux systems, Docker containers, and Kubernetes/OpenShift environments.
- Automate infrastructure provisioning and configuration using Terraform.
- Manage cloud infrastructure across AWS and/or Azure.
- Develop automation scripts using Python and Shell.
- Implement monitoring, logging, and observability solutions.
- Integrate security practices into DevOps workflows and CI/CD pipelines.
- Manage certificates, secrets, and secure access to infrastructure and applications.
- Troubleshoot infrastructure, application, networking, and deployment issues.
- Improve system reliability, scalability, security, and operational efficiency.
AWS / Kubernetes / OpenShift / Linux –
Location: Bangalore
Experience: 7–10 Years
Mandatory Skills:
- Strong hands-on experience with AWS
- Experience in Kubernetes & OpenShift
- Strong knowledge of Linux administration
- Experience with Docker & containerization
- Knowledge of CI/CD pipelines and DevOps practices
- Troubleshooting, monitoring, and deployment experience
Role: Cloud/DevOps Engineer – AWS, Kubernetes & OpenShift
Job Summary
We are looking for an experienced DevOps Engineer with strong hands-on expertise in GitHub Actions, Harness CI/CD, Google Cloud Platform (GCP), and Microsoft Azure. The candidate will be responsible for designing, implementing, and maintaining CI/CD pipelines, automating cloud infrastructure deployments, and improving application delivery through DevOps best practices.
Key Responsibilities
- Design, develop, and maintain CI/CD pipelines using GitHub Actions and Harness.
- Implement automated build, test, deployment, and release workflows.
- Manage and support cloud infrastructure across GCP and Microsoft Azure.
- Configure GitHub Actions workflows, reusable workflows, secrets, runners, and deployment environments.
- Develop and manage Harness pipelines for continuous integration, continuous delivery, and automated deployments.
- Automate infrastructure provisioning using Terraform and Infrastructure as Code (IaC) practices.
- Work with containerization technologies such as Docker and Kubernetes.
- Deploy and manage applications on GCP services such as GKE, Compute Engine, Cloud Storage, and Cloud Run.
- Work with Azure services such as Azure Kubernetes Service (AKS), Azure Virtual Machines, Azure Storage, and Azure networking.
- Implement secure credential management, access controls, and cloud security best practices.
- Integrate automated testing, code quality checks, vulnerability scanning, and security gates into CI/CD pipelines.
- Monitor deployments, troubleshoot pipeline failures, and resolve build and release issues.
- Collaborate with development, QA, security, and infrastructure teams to improve deployment efficiency.
- Implement logging, monitoring, rollback strategies, and deployment governance.
- Support production releases, incident troubleshooting, and continuous improvement of DevOps processes.
Mandatory Skills
- Strong hands-on experience with GitHub Actions.
- Practical experience with Harness CI/CD.
- Good experience with GCP and Microsoft Azure cloud platforms.
- Strong understanding of CI/CD concepts, build automation, and release management.
- Experience with Git, branching strategies, pull requests, and version control.
- Scripting knowledge in Python, Bash, or PowerShell.
- Experience with Terraform or other Infrastructure as Code tools.
- Understanding of Docker and Kubernetes.
- Knowledge of cloud IAM, secrets management, networking, and security best practices.
The Role
As a **DevOps Engineer** you'll own the infrastructure and delivery backbone that
keeps our platform running as we grow. You'll build the CI/CD, cloud infrastructure, and
observability that let a small, fast-moving team ship confidently — and you'll keep our AI and
data workloads reliable and affordable at scale.
This is a hands-on role with real ownership: you won't be maintaining someone else's setup,
you'll be shaping ours. You'll work closely with the backend, AI/ML, and data teams to make
deployment boring, incidents rare, and scaling a non-event. ---
What You'll Own
**CI/CD & developer experience**
- Build and maintain fast, reliable CI/CD pipelines so engineers ship multiple times a day with
confidence. - Make the path from commit to production simple, safe, and repeatable, with sensible
automated testing, rollbacks, and release controls.
**Cloud infrastructure & IaC** - Own our cloud infrastructure (AWS/GCP) end to end, managed as code (Terraform or
similar) — no click-ops. - Design for scale and cost-efficiency as store and conversation volumes grow.
**Containers & orchestration** - Run our services on containers/Kubernetes: deployments, autoscaling, networking, and
resource management. - Support the specific needs of AI/ML workloads, including GPU-backed inference and batch
processing for the speech pipeline.
**Reliability & observability (SRE)** - Own uptime, performance, and incident response — monitoring, logging, tracing, alerting,
on-call, and blameless postmortems. - Define and defend SLOs; keep the platform dependable as it scales across clients.
**Data & pipeline infrastructure** - Support the infrastructure behind large-scale, edge-to-cloud data movement and
processing (audio ingestion, ASR/AI pipelines, analytics). - Keep data workloads reliable, performant, and cost-aware.
**Security & compliance** - Bake security into the platform: secrets management, IAM/least-privilege, encryption in
transit and at rest, network hardening, and vulnerability management. - Support compliance readiness (including India's DPDP Act and enterprise-client security
requirements) for a product that handles sensitive customer conversations.
**Cost & scale** - Own cloud cost visibility and optimization; make scaling decisions that balance reliability
and spend. ---
What You'll Bring - 6+ years in DevOps, SRE, platform, or infrastructure engineering, running production
systems at meaningful scale. - Strong hands-on experience with a major cloud provider (**AWS or Azure or GCP**) and
Infrastructure-as-Code (**Terraform** or equivalent). - Solid experience with **containers and Kubernetes** in production. - Experience building and owning **CI/CD** pipelines (e.g. GitHub Actions, GitLab CI,
Jenkins, Argo, or similar).
- Comfort with a scripting/automation language (Python, Go, or Bash) and a strong
automation-first mindset. - Real experience with **observability** (Prometheus/Grafana, ELK, Datadog,
OpenTelemetry, or similar) and running incident response / on-call. - A security-conscious approach — secrets, IAM, encryption, and least-privilege as defaults. - Startup temperament: ownership, pragmatism, and a bias to automate and ship. - Based in or willing to relocate to Bangalore, and up for an onsite/hybrid, in-person team.
Bonus Points - Experience running **ML/AI or GPU workloads** in production (inference serving, batch
pipelines, model deployment). - Experience with data-intensive infrastructure — streaming/queues (Kafka, SQS), data
pipelines, or large object/audio storage. - Exposure to **edge devices / IoT fleets**, OTA updates, or high-volume device-to-cloud
ingestion. - Experience with compliance/security frameworks (SOC 2, ISO 27001, DPDP). - FinOps / cloud cost-optimization experience. - Early-stage startup experience. ---
Why Join - Own infrastructure that's already live with leading retail brands and growing fast — real
scale, real impact. - Work across genuinely interesting workloads: speech AI, GPU inference, large-scale data,
and edge-to-cloud ingestion. - Small team, high ownership, direct line to engineering leadership — your decisions ship. - Build the platform foundation of a category-defining product from an
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.

















