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Manager, DevOps

GALE
NewPosted yesterday

LOCATION

Bengaluru · Hybrid

EXPERIENCE

8 - 10 Years

TYPE

FullTime

SKILLS REQUIRED

KubernetesInfrastructure as CodeCI/CDObservabilityTerraformSite Reliability Engineering

Job description

Overview

Lead GALE's DevOps and Platform Engineering function from the Bangalore office, driving cloud-native infrastructure strategy, SRE practices, and large-scale automation while managing a team of full-time and contract engineers.

What you'll do

  • Lead, manage, and grow a team of DevOps engineers (FTEs and contractors), overseeing day-to-day delivery, performance reviews, and career development.
  • Establish clear ownership, accountability, and a high-performance culture within the DevOps function.
  • Drive training and up-skilling initiatives across Kubernetes, Terraform, and GCP.
  • Mentor senior engineers and support their growth into technical leadership roles.
  • Own and evolve the cloud infrastructure strategy across AWS and GCP, ensuring platforms are scalable, secure, and cost-effective.
  • Oversee and architect large-scale migrations and infrastructure modernization programs, including cloud platform transitions and GitHub Enterprise adoption.
  • Set strategic priorities and roadmaps for reliability, automation, observability, and infrastructure improvements aligned with business objectives.
  • Collaborate with engineering and product leadership to define infrastructure requirements for new platforms and product initiatives.
  • Establish and lead a dedicated SRE function within the DevOps team, driving ownership of uptime, incidents, and on-call practices.
  • Oversee the full incident management lifecycle, including on-call processes, RCA sign-off, corrective actions, and preventive measures to improve MTTR.
  • Define and enforce SLOs, SLIs, and error budgets to maintain high service availability.
  • Standardize DevOps workflows and tooling across planning, alerting, and incident management platforms.
  • Define and govern CI/CD standards and pipeline architecture across the organization, ensuring reliable and consistent deployments.
  • Champion the use of AI-assisted development tools and automation to reduce toil and accelerate delivery velocity.
  • Oversee container orchestration strategy using Kubernetes (EKS, OpenShift) and ensure best practices for containerized workloads.
  • Drive Infrastructure as Code (IaC) adoption using Terraform and Ansible to maintain consistent, auditable environments.
  • Architect and oversee MLOps and LLMOps pipelines to support AI/ML deployment, monitoring, and model lifecycle management.
  • Own the organization's observability strategy, driving adoption of monitoring, logging, and alerting solutions across all platforms.
  • Lead technology audit and compliance programs aligned to ISO certification standards.
  • Partner with security teams to embed DevSecOps practices into pipelines and infrastructure provisioning.
  • Communicate risks, trade-offs, and timelines to leadership in a clear, actionable manner.

What you'll need

  • 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.
  • Proven experience managing cross-functional teams including full-time engineers and contractors.
  • Deep expertise in AWS (20+ services) and hands-on experience with GCP.
  • Strong proficiency in container orchestration using Kubernetes (AWS EKS, GKE) and Docker.
  • Hands-on expertise with Infrastructure as Code tools, particularly Terraform and Ansible.
  • Demonstrated experience designing and managing CI/CD pipelines using tools such as Jenkins, ArgoCD, GitHub Actions, or GitLab CI.
  • Experience establishing and running SRE functions, including on-call frameworks, incident management, and RCA processes.
  • Proficiency in observability tooling including Grafana Stack (Grafana, Loki, Mimir), ELK/OpenSearch, and AWS CloudWatch.
  • Strong scripting and automation skills in Python and Shell.
  • Experience leading or contributing to technology audits and compliance initiatives (e.g., ISO certifications).
  • Practical experience with AI/ML infrastructure, including LLMOps frameworks, MLOps tooling, and AI-assisted software development tools.
  • Excellent communication skills with the ability to explain technical concepts and risks to non-technical stakeholders and senior leadership.
  • Experience with project and service management tooling such as JIRA, PagerDuty or equivalent platforms.

Nice to have

  • Familiarity with Azure or other cloud platforms.

Details

  • Location: Bangalore office (Bengaluru, India).
  • Work mode: hybrid, flexible workplace.
  • Team includes full-time and contract engineers.

Read the full description and apply on the company’s own careers page.

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Manager, DevOps