DevOps Engineer (Cloud AIaaS)
Gcore
Posted 1 hour ago • Via weworkremotely.com
Description
Job Overview
- Role: DevOps Engineer (Cloud AIaaS)
- Company: Gcore
- Location: Remote
- Employment Type: Full-Time
- Category / Department: Full-Stack Programming
- Salary: Competitive / Not Disclosed — confirm during interview
- Listing Source: WeWorkRemotely
Job Description
Headquarters: . , Poland, Serbia, Lithuania, Georgia, Cyprus
Company Description
This position is available only under an employment (labor) agreement.
The world’s digital experiences run on something invisible: the infrastructure and software that keep them fast, reliable, and secure. At Gcore, you’ll help design and deliver that foundation for an AI-driven world.
We’re a global provider of infrastructure and software solutions for AI, cloud, network, and security, powering everything from real-time communication and streaming to enterprise AI and secure web applications. With 210+ edge locations, 50+ cloud regions, and thousands of GPUs, your work here can reach users and businesses across the globe.
You’ll collaborate with leading technology partners such as Intel, NVIDIA, Dell, and Equinix, and work on platforms that power digital products used around the world. Our vision is simple: to connect the world to AI, anywhere, anytime.
Want to work on technology that goes beyond a single product or industry? Join a global team of 550+ professionals building infrastructure and software that supports the entire digital ecosystem.
We are currently looking for a DevOps Engineer to join our Edge Cloud Operations Team.
Job Description
As a DevOps Engineer, you will be responsible for designing, deploying, and maintaining infrastructure and services that enable scalable and secure AI inference workloads on-premises.
What You’ll Do
- Design, develop, and maintain infrastructure for AI inference workloads, including GPU scheduling, model deployment pipelines, and data access patterns in on-prem environments
- Build and manage monitoring and observability tools for AI inference platforms, including dashboards, alerts, and runbooks for model health and system performance
- Collaborate with ML engineers and platform teams to design system architecture for AI workloads, integrate inference runtimes, and test performance at scale
Qualifications
What We’re Looking For Hands-on Experience In
- Containerization and Container Orchestration: Kubernetes, Helm, Docker/CRI-O
- Linux and networks
- Programming and Scripting: Python/Go/Bash
- Infrastructure as Code (IaC) approach: Ansible, Terraform
- Creating CI/CD pipelines: GitLab/GitHub actions
- Experience with Cluster API or any other "Kubeception" technology
- Deep experience with Kubernetes CNI, CSI, and Operators
Nice to Have
- Knowledge in Kubernetes-related technologies such as ArgoCD, Helmfile
- Experience with Prometheus stack
- Experience with other Cloud Native technologies
Additional Information
Benefits
At Gcore, we want you to do your best work and enjoy the journey. Our benefits are designed to support your growth, well-being, and life beyond work:
- Competitive compensation
- Flexible working hours and hybrid or remote options, depending on your role
- Work from anywhere in the world for up to 45 days per year
- Private medical insurance for you and your family*
- Extra paid vacation and sick leave days*
- Support for life’s important moments and celebrations
- Language courses to help you connect and grow
- Modern, welcoming offices with snacks, drinks, and entertainment*
- Team sports and social activities*
*Benefits may vary depending on your location.
Equal Opportunity Employer
We provide equal opportunity to all applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity, gender expression, national origin, disability, or any other legally protected characteristics.
To apply: https://weworkremotely.com/remote-jobs/gcore-devops-engineer-cloud-aiaas
Salary & Compensation
The salary for this role is not publicly disclosed. Based on industry benchmarks, roles of this type in India or remote-first companies typically offer compensation in line with market rates for the experience level required. We recommend researching platforms like Glassdoor, Levels.fyi, or AmbitionBox to gauge expected ranges before your offer discussion.
In addition to base salary, many employers in this sector offer a comprehensive benefits package that may include:
- Annual or performance-based bonuses
- Health, dental, and vision insurance
- Provident Fund (PF) and Gratuity contributions (India)
- Paid Time Off (PTO), sick leave, and public holidays
- Professional development budget and learning allowances
- Stock options or Employee Stock Ownership Plans (ESOPs) at select companies
- Flexible or remote working allowances
- Parental leave and family health coverage
Note: The specific benefits offered by this employer should be confirmed during the offer stage. Not all benefits listed above may apply to every organisation or role type.
Work Arrangement
Type: Fully Remote
This role is designed for a fully remote work arrangement. You will have the flexibility to work from any location, provided you have a stable internet connection and can align with the team's core collaboration hours. The company supports remote employees with the necessary tools, virtual team-building activities, and regular check-ins to ensure productivity and a strong sense of belonging. Equipment and home-office stipends may be provided — check the job listing or confirm during the offer stage.
Typical Interview Process
While each organisation structures its hiring differently, candidates for this type of role typically go through the following stages:
- Resume and application screening
- Introductory phone or video call with HR
- Role-specific skill or competency interview
- Final interview with the hiring manager or panel
- Reference checks and offer discussion
Tip: Research the company's products, culture, and recent news thoroughly before each interview round.
About the Employer
Gcore is the organisation posting this opportunity. While full company details are available on the original job listing, here is what you should research before applying:
- Company size and culture: Review the company's LinkedIn profile, Glassdoor reviews, and their official website to understand team size, work culture, and employee satisfaction.
- Products and services: Familiarise yourself with what the company builds, sells, or delivers. Being knowledgeable about their offerings will set you apart during interviews.
- Recent news: Search for any recent fundraising, acquisitions, product launches, or leadership changes — these often come up in interviews and signal company health.
- Location and offices: The role is based in or around Remote. Confirm office address, remote policy details, and travel requirements during the process.
- Where this listing was found: This job was sourced from WeWorkRemotely.
How to Apply & Preparation Tips
To apply for the DevOps Engineer (Cloud AIaaS) position, follow these steps:
- Tailor your resume: Customise your CV to match the specific requirements listed in the job description. Use keywords from the posting to pass Applicant Tracking System (ATS) filters.
- Write a compelling cover letter: Even if not mandatory, a concise cover letter demonstrating your enthusiasm and fit for the role significantly improves your chances.
- Apply via the original listing: Use the apply link on the original job post to submit your application. Avoid applying through third-party channels that may delay or lose your submission.
- Prepare for phone screening: Be ready for an initial call within 3–7 business days of applying. Have your resume and a quiet space ready.
- Follow up professionally: If you haven't heard back in 7–10 business days, a brief, polite follow-up email to the recruiter is acceptable and often appreciated.
Disclaimer: This listing is aggregated from a public job board for informational purposes. JobSetuu does not guarantee the accuracy or current availability of this position. Always verify the details on the employer's official careers page before applying.
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