MLOps Platform Engineer
Upload My Resume
Drop here or click to browse · PDF, DOCX, DOC, RTF, TXT
Requirements
• A senior cloud and platform engineer:You have 8+ years of experience in cloud infrastructure, DevOps, or platform engineering roles, with deep expertise designing and operating distributed systems in production. • A senior cloud and platform engineer: • Experienced with MLOps and agentic platforms:You have direct exposure to ML/GenAIOps practices, such as monitoring, anomaly detection, predictive alerting, or automated remediation, applied to real production systems. 5+ years of MLOps experience is required. • Experienced with MLOps and agentic platforms: • Strong in cloud-native infrastructure:You are proficient in building and managing cloud environments, Kubernetes, containerized workloads and infrastructure-as-code tools such as Terraform. • Strong in cloud-native infrastructure: • Comfortable supporting AI workloads:You have hands-on experience supporting platforms that and host/run deep neural networks, including LLM runtimes (e.g., vLLM, llama.cpp), ML compiler stacks (e.g., LLVM/MLIR), and PyTorch-based production systems. • Comfortable supporting AI workloads: • Security- and operations-minded:You have a strong understanding of infrastructure security, IAM, secrets management, and operational risk as it relates to AI-enabled systems. • Security- and operations-minded: • A platform-focused technical leader:You operate effectively as a technical leader, influencing architecture and standards while remaining hands-on. You communicate clearly, collaborate well cross-functionally, and thrive in ambiguous problem spaces. • A platform-focused technical leader: • Forward-thinking and pragmatic:You are proactive and innovative, with the ability to introduce emerging agentic patterns while balancing operational maturity and long-term maintainability. You will help design and operate scalable benchmarking and evaluation frameworks for agentic AI systems, enabling quantitative measurement of accuracy, reliability, cost–performance tradeoffs, regression detection, and the impact of model, prompt, or architecture changes (including techniques such as LLM-as-a-judge), with tooling that is reusable and accessible across the organization. • Forward-thinking and pragmatic: • Experience with Pulumi • Experience with GCP, and Cloudflare • Experience with GHA and Harness • Experience with Go lang • Experiencing supporting Data Engineering Platforms • Exposure to Data Warehousing and ETL/ELT Tools or Operations • In good faith, our salary range for this role is $185,000–$200,000, but we are not tied to it. Final offer amount will be at the company’s sole discretion and determined by multiple factors, including years and depth of experience, expertise, and other business considerations. Our community is fueled by diverse people who welcome differing points of view and the opportunity to learn from each other. Our team is passionate about building a product people love and a culture where everyone can innovate and thrive.
Responsibilities
• Build and operate an AI infrastructure platform:You will design, build, and operate cloud-native infrastructure and platform tooling that accelerates AI development across the company. This includes enabling teams to develop, deploy, and operate AI-powered services safely and efficiently in production environments. • Build and operate an AI infrastructure platform: • Own the DevOps and infrastructure side of MLOps and Agentic Systems:You will focus on the operational foundations of AI systems, including CI/CD for AI workloads, scalable inference infrastructure, observability, cost management, and reliability. You will establish repeatable patterns and shared services that reduce friction for teams building AI-enabled applications. • Own the DevOps and infrastructure side of MLOps and Agentic Systems: • Enable AI services, agents, and runtime platforms:You will build and maintain infrastructure to support AI services such as LLM-backed APIs, Model Context Protocol (MCP) servers, and agentic systems used by production applications. You will enable secure tool access, runtime orchestration, and isolation boundaries for AI-driven workloads. • Enable AI services, agents, and runtime platforms: • Integrate MLOps capabilities into platform operations:You will apply MLOps concepts to improve platform operations, including using AI-driven approaches for monitoring, alerting, anomaly detection, and incident response across AI and non-AI systems. You will help evolve how the platform observes and operates complex AI-enabled systems at scale. • Integrate MLOps capabilities into platform operations: • Establish governance, security, and operational guardrails:You will help define and implement infrastructure-level governance for AI systems, including access controls, deployment policies, auditability, and secure-by-default patterns. You will partner with security and compliance teams to ensure AI infrastructure aligns with organizational risk and regulatory requirements. • Establish governance, security, and operational guardrails: • Provide technical leadership and enablement:You will act as a technical leader, influencing platform architecture and best practices across teams. You will mentor engineers and work closely with product, data, and application teams to align AI platform capabilities with business goals. • Provide technical leadership and enablement: • Contribute to dv01’s AI and data roadmap • Establish technical direction and strategy • Mentor and provide technical guidance to junior engineers
Benefits
• Unlimited PTO. Unplug and rejuvenate, however you want—whether that’s vacationing on the beach or at home on a mental-health day. • Unlimited PTO • $1,000 Learning & Development Fund. No matter where you are in your career, always invest in your future. We encourage you to attend conferences, take classes, and lead workshops. We also host hackathons, brunch & learns, and other employee-led learning opportunities. • $1,000 Learning & Development Fund • Remote-First Environment. People thrive in a flexible and supportive environment that best invigorates them. You can work from your home, cafe, or hotel. You decide. • Remote-First Environment. • Health Care and Financial Planning. We offer a comprehensive medical, dental, and vision insurance package for you and your family. We also offer a 401(k) for you to contribute. • Health Care and Financial Planning. • Stay active your way! Get $138/month to put toward your favorite gym or fitness membership — wherever you like to work out. Prefer to exercise at home? You can also use up to $1,650 per year through our Fitness Fund to purchase workout equipment, gear, or other wellness essentials. • Stay active your way! • $1,650 per year through our Fitness Fund • New Family Bonding. Primary caregivers can take 16 weeks off 100% paid leave, while secondary caregivers can take 4 weeks. Returning to work after bringing home a new child isn’t easy, which is why we’re flexible and empathetic to the needs of new parents. • New Family Bonding.