Senior Cloud Engineer - GenAI Platform Engineering

What you'll do

• Design and deliver complex platform features and scalable cloud architectures, aligning engineering decisions with the broader solution.
• Build and operate cloud infrastructure and containerized environments, and develop deployment, release, and CI/CD pipelines.
• Guide engineering practices, evaluate tools and technologies, and collaborate with stakeholders and architects on solution needs and technical requirements.

What they ask for

• 7+ years in cloud engineering, platform engineering, or DevOps/SRE roles.
• Hands-on experience with AWS, Azure, and/or GCP; container platforms; infrastructure-as-code; and CI/CD pipelines.
• Experience designing and operating highly scalable distributed systems and production containerized workloads in cloud environments.
• Expertise in scaling strategies, performance tuning, cloud-native architectures and microservices; experience with observability and reliability engineering.

Nice to have

• Experience supporting AI/ML or GenAI workloads, including model inference endpoints, API gateways, or high-throughput, low-latency serving systems.
• Familiarity with vector databases, data pipelines, retrieval-based architectures, compute-intensive workload scaling, or regulated enterprise environments.

Pay

$122,000.00 - $200,000.00 annualized salary (USD, base salary)

Tools

AWS, Azure, GCP, Kubernetes, EKS, AKS, GKE

AI focus

Builds and operates cloud infrastructure for a GenAI platform supporting agent-based applications, APIs, and model-serving workloads; desired experience includes AI/ML or GenAI workloads.