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- Tasks: Build and maintain scalable DevOps infrastructure for AMD's AI software development.
- Company: Join AMD, a leader in transforming lives with cutting-edge technology.
- Benefits: Enjoy competitive salary, health benefits, remote work, and growth opportunities.
- Why this job: Make a real impact in AI and next-gen computing while collaborating with top talent.
- Qualifications: Experience in DevOps, Kubernetes, CI/CD tools, and scripting languages like Python.
- Other info: Dynamic, inclusive culture with excellent career advancement potential.
The predicted salary is between 28800 - 48000 £ per year.
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WHAT YOU DO AT AMD CHANGES EVERYTHING
We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.
WHAT YOU DO AT AMD CHANGES EVERYTHING
We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.
AMD together we advance_
MTS SOFTWARE DEVELOPMENT ENGINEER – Dev Ops & CI Team
The Role
The AI/ML Frameworks team is hiring an MTS Software Development Engineer to build and maintain scalable DevOps infrastructure that accelerates AMD’s AI software development. You will lead CI/CD pipeline design, manage Kubernetes deployments, and automate systems with Ansible and Python. This role supports GPU environments, integrates monitoring tools, and enables rapid, reliable software delivery across teams.
The Person
The ideal candidate is a skilled engineer with a strong background in DevOps, site reliability, or infrastructure engineering. They are proficient in Kubernetes, CI/CD tools, scripting (Python/Bash), and infrastructure automation frameworks such as Ansible. Experience working with GPU compute environments and integrating automated test workflows is highly valued. This person thrives in collaborative, fast-paced environments and can drive technical execution with minimal oversight. They bring a problem-solving mindset, strong communication skills, and a passion for building reliable, scalable systems.
Key Responsibilities
- CI/CD Pipeline Development: Design, implement, and manage efficient continuous integration and delivery pipelines using Buildkite, GitHub Actions, and Jenkins to enable rapid and reliable software deployment.
- Kubernetes Infrastructure Management: Deploy and maintain robust Kubernetes-based environments across both on-premises and cloud platforms to support scalable service orchestration.
- Infrastructure Automation: Automate provisioning, configuration, and management of infrastructure using Ansible, Python, and Bash to improve system consistency and reduce manual intervention.
- Service Deployment with Helm: Administer application and service deployment in Kubernetes using Helm charts for consistent and repeatable release processes.
- GPU Server Support: Configure, manage, and maintain GPU-based compute environments including lifecycle automation and hardware-level test integration.
- Database and Observability Integration: Interact with MySQL databases to support dynamic data updates and integrate data sources into Grafana dashboards for monitoring and insights.
- Cross-Functional Collaboration: Work closely with development teams, SREs, and project stakeholders to ensure system-level alignment and high-impact delivery.
- Quality Assurance Enablement: Integrate automated testing frameworks into CI pipelines to ensure code quality, stability, and performance across development cycles.
Preferred Experience
- DevOps Tools & Automation: Proficient with Buildkite, GitHub Actions, Jenkins, Ansible, and scripting languages like Python and Bash for streamlining DevOps workflows.
- Containerization & Orchestration: Strong experience with Docker, Kubernetes, and Helm for deploying and managing scalable, containerized applications.
- Infrastructure as Code (IAC): Hands-on experience automating infrastructure provisioning and configuration to ensure reproducibility and scalability across environments.
- GPU-Based Compute Environments: Familiarity with GPU server lifecycle management and integration of GPU resources into CI test workflows for performance-critical applications.
- Monitoring & Observability: Experience using tools like Checkmk, Prometheus, and Grafana to monitor infrastructure health and application performance.
- Version Control & Collaboration: Advanced knowledge of Git-based version control, including branching strategies and CI/CD integration for collaborative development.
- Linux & System Administration: Solid background in Linux environments, including shell scripting and system-level troubleshooting across distributed systems.
- Agile & Cross-Disciplinary Collaboration: Comfort working in Agile teams and partnering with software, infrastructure, and product teams to drive consistent delivery and innovation.
Academic Credentials
- Bachelor\’s or master\’s degree in computer/software engineering, Computer Science, or related technical discipline
- 5+ years of industry experience
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
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Software Software Development Engineer employer: AMD
Contact Detail:
AMD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Software Development Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in your field on LinkedIn or at tech meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a GitHub portfolio showcasing your projects, especially those related to DevOps and CI/CD. It’s a great way to demonstrate your expertise without saying a word.
✨Tip Number 3
Prepare for interviews by practicing common technical questions and scenarios. Use mock interviews with friends or online platforms to get comfortable with the format and types of questions you might face.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team!
We think you need these skills to ace Software Software Development Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the MTS Software Development Engineer role. Highlight your experience with Kubernetes, CI/CD tools, and any relevant projects that showcase your skills in DevOps and infrastructure automation.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AMD's mission and how your background aligns with their goals. Be genuine and let your personality come through.
Showcase Your Projects: If you've worked on any relevant projects, whether personal or professional, make sure to mention them. Include links to your GitHub or any other platforms where potential employers can see your work in action.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s straightforward and ensures your application goes straight to the right people at AMD!
How to prepare for a job interview at AMD
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Kubernetes, CI/CD tools, and scripting languages like Python and Bash. Brush up on your knowledge of GPU environments too, as this will show that you understand the specific needs of the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss past projects where you tackled complex problems, particularly in DevOps or infrastructure automation. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your contributions effectively.
✨Demonstrate Collaboration
Since the role involves cross-functional collaboration, be ready to share examples of how you’ve worked with different teams in the past. Emphasise your communication skills and how you’ve contributed to a team environment, as AMD values inclusivity and diverse perspectives.
✨Ask Insightful Questions
Prepare thoughtful questions about AMD’s culture, the team dynamics, and the specific challenges they face in AI/ML development. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.
