AI Lead Engineer
GeekSoft ConsultingNetherlands17 days ago
Full-timeInformation Technology
Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
- Help design, build and continuously improve the clients online platform.
- Research, suggest and implement new technology solutions following best practices/standards.
- Take responsibility for the resiliency and availability of different products.
- Be a productive member of the team.
- 8+ years of experience in DevOps, Cloud Engineering, or Site Reliability Engineering (SRE), with a strong focus on AI/ML infrastructure.
- Designing and implementing APIs to securely expose platform services (e.g., AI models) and enable integration between loosely coupled application components.
- Automating infrastructure provisioning using Infrastructure-as-Code (IaC) tools such as Terraform or Ansible.
- Implementing robust testing strategies for automated deployments and integrating observability frameworks (e.g., Prometheus, Grafana, or Datadog) to ensure application functionality, monitoring, logging, and tracing.
- Coaching and mentoring colleagues across global ASML regions (e.g., US, Veldhoven) in designing and building solutions aligned with industry best practices.
- Promoting standardized frameworks and practices across teams to drive consistency and efficiency.
- Leading quality reviews, guiding cross-sector co-development initiatives, and driving continuous improvement in development workflows.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Deep expertise in cloud platforms such as Azure, Google Cloud, or AWS.
- Extensive experience with Kubernetes, including both SDLC on Kubernetes and deep understanding of its core components.
- Proficient in GPU-accelerated computing environments and AI/ML tools such as NVIDIA Triton, Kubeflow, or MLflow.
- Strong programming and scripting skills, particularly in Python, JavaScript, Bash, or equivalent.
- Proven hands-on experience with Infrastructure-as-Code (IaC) frameworks like Terraform.
- A challenging, innovating environment.
- Opportunities for learning where needed.
Key Skills
Ranked by relevanceReady to apply?
Join GeekSoft Consulting and take your career to the next level!
Application takes less than 5 minutes