DevOps Engineer II

Weekday AI; Deutschland; Remote; EUR 80.000 - 124.000; Vollzeit

Benefits dieser Stelle

Medical coverage

Stock options

Annual bonus

Hybrid & remote model

Flexible working hours

Maternity & parental leave

Education reimbursements

Professional workshops

On-site & remote company events

Tech & WFH stipends

Employee referral program

Zusammenfassung

Weekday AI seeks a DevOps Engineer II to join our Platform SRE team. You will design, deploy, and maintain 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. You?ll help design, deploy, and optimize infrastructure to support ML training, inference, and data-intensive pipelines.

Qualifikationen

• 4–7 years of hands-on DevOps/SRE experience.
• Strong Linux/Unix administration and basic networking knowledge.
• Hands-on with public cloud services (GCP, plus exposure to others).
• Solid Kubernetes concepts and GKE experience.
• CI/CD and ArgoCD familiarity for GitOps workflows.
• Interest in multicloud and multiregion architectures.
• Strong analytical, troubleshooting, and problem-solving skills.
• Scripting with Python, Bash, or Go.
• Infrastructure-as-code with Terraform, Ansible, or CloudFormation.
• Experience with monitoring/logging tools (Prometheus, Grafana, ELK).
• Understanding of distributed systems and security best practices.

Aufgaben

• Assist in managing multiregion/multicloud infrastructure for resiliency and performance.
• Support provisioning and deployments on GCP, with exposure to other clouds.
• Design/deploy/maintain agentic AI workflows and automation integrating LLMs and observability tooling.
• Collaborate to design/maintain CI/CD pipelines in GitLab CI.
• Manage Kubernetes clusters (GKE and other managed K8s).
• Contribute to GitOps deployments using ArgoCD.
• Automate infrastructure with Terraform and other IaC tools.
• Monitor system health, participate in on-call rotations, and perform RCA.
• Document processes, runbooks, and improve operational practices.

Kenntnisse

DevOps

SRE

Linux/Unix

Networking basics

Python

Bash

Go

CI/CD concepts

GitLab CI

ArgoCD

Terraform

CloudFormation

Ansible

Prometheus

Grafana

ELK

Kubernetes (GKE)

GCP

Multicloud

CI/CD pipelines

Ausbildung

Bachelor's degree in CS/IT or equivalent

Tools

GKE

GitLab CI

ArgoCD

Terraform

Ansible

CloudFormation

Prometheus

Grafana

ELK

GCP services

Python

Bash

Go

Jobbeschreibung

This role is for one of the Weekday's clients 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