DevOps Engineer II

This role is for one of our clients
Industry: Software Development

Seniority level: Mid-Senior level

Min Experience: 4+ years

Location: Remote (India), Bengaluru

JobType: full-time

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

We are seeking a motivated DevOps Engineer II to join our growing Platform SRE team. In this role, you will support the design, deployment, and maintenance of our multiregion, multicloud infrastructure, with a primary focus on Google Cloud Platform (GCP). You’ll work closely with senior DevOps engineers and developers to ensure high availability, scalability, and reliability across distributed systems. As a DevOps Engineer II, you’ll help design, deploy, and optimize infrastructure to support ML training, inference, and data-intensive pipelines. This is an excellent opportunity for someone who is eager to deepen their expertise in Kubernetes, GitLab CI, ArgoCD, and cloud automation while gaining exposure to complex global infrastructure.

Requirements
Responsibilities

• Assist in managing multiregion and multicloud infrastructure, ensuring resiliency, scalability, and performance
• Support infrastructure provisioning and deployments primarily on GCP, while gaining exposure to other cloud providers
• Design, deploy, and maintain agentic AI workflows and automation systems, integrating LLMs, orchestration frameworks, APIs, and observability tooling to improve operational efficiency, incident response, and developer productivity
• Collaborate with development teams to design and maintain CI/CD pipelines in GitLab CI
• Work on Kubernetes cluster management (GKE and potentially other managed K8s offerings)
• Contribute to GitOps-based deployments using ArgoCD
• Help automate infrastructure with Terraform and other infrastructure-as-code tools
• Monitor system health and participate in the on-call rotation, contributing to incident response, troubleshooting, and root cause analysis to improve reliability
• Document processes, create runbooks, and help improve operational practices
  
  
  
  

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent practical experience)
• 4-7 years of hands-on experience in DevOps, SRE, or related roles
• Solid foundation in Linux/Unix administration and basic networking
• Hands-on experience with public cloud services (Compute Engine, GKE, Cloud Storage, IAM, VPC etc)
• Understanding of Kubernetes concepts
• Familiarity with CI/CD concepts and ArgoCD for GitOps workflows
• Interest or exposure to multicloud and multiregion architectures
• Strong analytical, troubleshooting, and problem-solving skills
• Scripting experience with Python, Bash, or Go
• Knowledge of infrastructure-as-code (Terraform, Ansible, or CloudFormation)
• Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK, or GCP Cloud Monitoring/Logging)
• Understanding of distributed systems design and global traffic management
• Awareness of security and compliance best practices in a cloud-native environment
  
  
  
  

What We Offer

• A collaborative environment with mentorship opportunities
• Exposure to large-scale, multiregion, and multicloud infrastructure challenges
• Hands-on experience with modern DevOps tooling and cloud-native technologies
• Competitive compensation and benefits
• A structured growth path to advance into mid-level and senior DevOps engineering roles
  
  
  
  

Benefits & Perks

• Competitive salary, stock options & annual bonus
• Medical coverage
• Life and accidental insurance
• Vacation & leaves of absence (menstrual, flexible, special, and more!)
• Developmental opportunities through education & developmental reimbursements & professional workshops
• Maternity & parental leave
• Hybrid & remote model with flexible working hours
• On-site & remote company events throughout the year
• Tech & WFH stipends & new hire allowances
• Employee referral program
  
  
  
  

Must-have skills

Docker and Kubernetes, Python

Good-to-have skills

Problem solving