Manager, DevOps
Summary
A leadership role heading GALE's DevOps and Platform Engineering function from its Bengaluru office: managing a team of full-time and contract engineers while driving cloud infrastructure strategy across AWS and GCP, and owning SRE practices, CI/CD standards, Kubernetes, Terraform-based automation, observability, and ISO-aligned compliance.
About the Role:
We are seeking an experienced and strategic Manager, DevOps to lead our DevOps and Platform Engineering function from our Bangalore office. In this role, you will drive cloud-native infrastructure strategy, SRE practices, and large-scale automation initiatives across the organization. You will manage a team of full-time and contract engineers, partner with engineering, product, and security leadership, and own the reliability, scalability, and operational excellence of our platforms. If you are a hands-on leader with deep cloud expertise, a passion for building high-performing teams, and the ability to translate complex technical trade-offs into clear business outcomes, we want to hear from you.
Key Responsibilities:
Team & People Leadership:
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Lead, manage, and grow a team of DevOps engineers (FTEs and contractors), overseeing day-to-day delivery, performance reviews, and career development.
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Establish clear ownership, accountability, and a high-performance culture within the DevOps function.
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Drive training and up-skilling initiatives across key areas such as Kubernetes, Terraform, and GCP to keep the team current and effective.
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Mentor senior engineers and support their growth into technical leadership roles.
Cloud & Infrastructure Strategy:
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Own and evolve the organization’s cloud infrastructure strategy across AWS and GCP, ensuring platforms are scalable, secure, and cost-effective.
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Oversee and architect large-scale migrations and infrastructure modernization programs, including cloud platform transitions and GitHub Enterprise adoption.
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Set strategic priorities and roadmaps for reliability, automation, observability, and infrastructure improvements aligned with business objectives.
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Collaborate with engineering and product leadership to define infrastructure requirements for new platforms and product initiatives.
SRE & Operational Reliability:
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Establish and lead a dedicated SRE function within the DevOps team, driving ownership of uptime, incidents, and on-call practices.
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Oversee the full incident management lifecycle, including on-call processes, RCA sign-off, corrective actions, and preventive measures to improve MTTR.
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Define and enforce SLOs, SLIs, and error budgets to maintain high service availability.
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Standardize DevOps workflows and tooling across planning, alerting, and incident management platforms.
CI/CD & Automation:
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Define and govern CI/CD standards and pipeline architecture across the organization, ensuring reliable and consistent deployments.
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Champion the use of AI-assisted development tools and automation to reduce toil and accelerate delivery velocity.
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Oversee container orchestration strategy using Kubernetes (EKS, OpenShift) and ensure best practices for containerized workloads.
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Drive Infrastructure as Code (IaC) adoption using Terraform and Ansible to maintain consistent, auditable environments.
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Architect and oversee MLOps and LLMOps pipelines to support AI/ML deployment, monitoring, and model lifecycle management.
Observability, Security & Compliance:
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Own the organization’s observability strategy, driving adoption of monitoring, logging, and alerting solutions across all platforms.
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Lead technology audit and compliance programs aligned to ISO certification standards.
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Partner with security teams to embed DevSecOps practices into pipelines and infrastructure provisioning.
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Work closely with leadership to communicate risks, trade-offs, and timelines in a clear, actionable manner.
Requirements:
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8-10 years of hands-on experience in DevOps, platform engineering, or site reliability engineering, with at least 2 years in a people management role.
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Proven experience managing cross-functional teams including full-time engineers and contractors.
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Deep expertise in AWS (20+ services) and hands-on experience with GCP; familiarity with Azure or other cloud platforms is advantageous.
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Strong proficiency in container orchestration using Kubernetes (AWS EKS, GKE) and Docker.
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Hands-on expertise with Infrastructure as Code tools, particularly Terraform and Ansible.
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Demonstrated experience designing and managing CI/CD pipelines using tools such as Jenkins, ArgoCD, GitHub Actions, or GitLab CI.
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Experience establishing and running SRE functions, including on-call frameworks, incident management, and RCA processes.
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Proficiency in observability tooling including Grafana Stack (Grafana, Loki, Mimir), ELK/OpenSearch, and AWS CloudWatch.
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Strong scripting and automation skills in Python and Shell.
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Experience leading or contributing to technology audits and compliance initiatives (e.g., ISO certifications).
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Practical experience with AI/ML infrastructure, including LLMOps frameworks, MLOps tooling, and AI-assisted software development tools.
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Excellent communication skills with the ability to explain technical concepts and risks to non-technical stakeholders and senior leadership.
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Experience with project and service management tooling such as JIRA, PagerDuty or equivalent platforms.
Why Join Us:
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Opportunity to shape and lead the DevOps and Platform Engineering practice within a fast-growing, global organization.
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Strategic role with direct influence on cloud architecture, tooling decisions, and engineering culture.
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Collaborative environment that values operational excellence, innovation, and continuous improvement.
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Continuous learning and development opportunities with investment in certifications and skills growth.
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Competitive compensation package and benefits.
Skills
- AI
- Ansible
- Argo CD
- Automation
- AWS
- Azure
- Bash
- CI/CD
- Cloud
- Cloud Native
- CloudWatch
- Corrective Action
- CRM
- DevOps
- DevSecOps
- Docker
- EKS
- ELK
- GCP
- GitHub
- GitHub Actions
- GitLab
- GKE
- Grafana
- Infrastructure as Code
- Jenkins
- Jira
- Kubernetes
- LLMOps
- Loki
- Machine Learning
- MLOps
- Observability
- OpenSearch
- OpenShift
- PagerDuty
- Python
- Terraform
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