Senior Infrastructure Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Enhance the production infrastructure and spearhead gradual migrations towards a versatile, cloud-native deployment model.

• Establish foundations for AI workloads, encompassing execution environments, workload isolation, scheduling, orchestration, and resource utilization.

• Implement observability to understand system behavior, troubleshoot failures, and manage performance, capacity, and costs.

• Create infrastructure as code, deployment workflows, and practical engineering defaults.

• Engage in on-call duties, refine recovery procedures, test backups, and transform incidents into enduring enhancements.

• Enforce access controls, manage secrets, apply patches, and ensure data protection.

• Collaborate with engineering and business operations teams to convert infrastructure requirements into reliable capabilities.

• Work closely with the Lead AI Platform & Infrastructure Engineer and take ownership of systems deployed in production.

⛳️ Requirements

• Applicants must currently reside in the US.

• Must have authorization to work for any US employer.

• Extensive experience with Kubernetes in a production environment.

• Proven track record in designing new infrastructure and migrating existing workloads.

• Strong foundational knowledge of cloud services; AWS preferred, or Azure, Google Cloud, etc.

• Proficient in Linux, networking, storage, and infrastructure as code tools such as Terraform.

• Capability to develop software and tools to automate operational tasks.

• Strong sense of ownership and effective communication skills.

• Typically, candidates will have five or more years of experience in infrastructure, platform, SRE, or related engineering roles.

• Preferred: Experience in operating AI applications, agentic workloads, or distributed systems.

• Preferred: Experience in building isolated execution environments or working with serverless computing.

• Preferred: Experience supporting Python services and asynchronous workers.

• Preferred: Experience working on a small team to establish infrastructure practices.

• Preferred: Experience with operating systems that handle sensitive data or support regulated customers.

🏝️ Benefits

• Equity.

• Comprehensive benefits package.

• Flexible working arrangements and a healthy work-life balance.

• Regular off-site events.