Remote Ai/ml developer Jobs – 87 Open Jobs Today

DevOps Engineer II
Weekday —Remote
- ₹30,00,000 - ₹50,00,000 a year
- Full-time
- Remote
- Computer Science
- DevOps
- Analysis skills
- Flexible schedule
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DevOps Engineer II

Weekday -
Remote

Quick apply

Job details

Full-time
₹30,00,000 - ₹50,00,000 a year
2 hours ago

Benefits

Flexible schedule

Qualifications

BCS
CI/CD
Go
Computer Science
Kubernetes
Ansible
DevOps
UNIX
Git
Google Cloud Platform
Bash (Unix shell)
Analysis skills
Docker
Bachelor's degree
Distributed systems
Terraform
Continuous integration
Scripting
APIs
Linux
AI
GitLab
Python
Identity & access management
Information Technology

Full job description

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 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

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.

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