Senior DevOps Engineer (AWS)
We are seeking a visionary Senior Engineer to lead the design and evolution of our multi-GPU, cross-cloud platforms.
Our client strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity.
In this high-impact role, you will sit directly at the intersection of DevOps, MLOps, and distributed systems. You will own the architecture, long-term technical direction, reliability, and scaling of the model training platforms that make real-world, cutting-edge AI possible.
If you are passionate about driving infrastructure-as-code at scale, optimizing GPU-heavy workloads, and defining the future of robotic intelligence, we want you on our team!
Essential functions
- Lead the design and evolution of scalable multi-GPU infrastructure across cloud environments (AWS, GCP, etc.)
- Own architecture and long-term technical direction of model training platforms
- Drive reliability, performance, and cost-efficiency at scale
- Define and implement best practices for infrastructure, DevOps, and MLOps across the organization
- Build and evolve infrastructure-as-code and automation for provisioning, orchestration, and lifecycle management
- Architect and improve CI/CD systems for both infrastructure and ML training workflows
- Optimize distributed training workloads (scheduling, resource utilization, observability)
- Partner with ML engineers and researchers to enable efficient experimentation and productionization
- Lead troubleshooting and resolution of complex system issues across distributed, GPU-heavy environments
- Mentor engineers and raise the bar for engineering quality and operational excellence
- Document architecture, systems, and key technical decisions
Qualifications
- Production-grade, hands-on infrastructure-as-code experience (Terraform)
- Kubernetes application packaging and release management (Helm)
- Hands-on experience operating workloads on a major cloud provider (AWS)
- Building and operating CI/CD pipelines, including self-hosted build runners (GitHub Actions)
- Deep hands-on experience with monitoring and alerting stacks (Prometheus/Grafana)
- Core SRE skill set: Linux administration, containerization, and container orchestration
- Excellent automation and scripting skills (Python and Bash)
- Flexibility to participate on-call rota for the urgent issues outside of regular business hours (extra paid)
- Adaptable to fast-changing priorities
- Fast learner who enjoys adopting cutting-edge technology
- Bias to action
- Strong team player with a sense of sole ownership and accountability
- Strong communicator across teams of varied backgrounds and experience
Would be a plus
- Cluster autoscaling and dynamic node provisioning (Karpenter)
- Operating GPU-accelerated Kubernetes clusters (NVIDIA)
- Workflow orchestration platforms (Prefect)
- Gang scheduling for distributed workloads
- Resource allocation and fair-sharing (queues and priorities)
- High-performance and shared storage systems (FSx for Lustre, EFS)
- Self-hosted agentic infrastructure
We offer
- Opportunity to work on bleeding-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule & a hybrid working mode
- Benefits package - medical insurance, sports
- Corporate social events
- Professional development & growth opportunities
- Well-equipped office located down-town
About us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.
