MLOps Platform Engineer

dv01

4h • $185,000 - $200,000 • Remote

About The Position

dv01 is lifting the curtain on the largest financial market in the world: structured finance. The $16+ trillion market is the backbone of everyday activities that empower financial freedom, from consolidating credit card debt and refinancing student loans, to buying a home and starting a small business.
dv01’s data analytics platform brings unparalleled transparency into investment performance and risk for lenders and Wall Street investors in structured products. As a data-first company, we wrangle critical loan data and build modern analytical tools that enable strategic decision-making for responsible lending. In a nutshell, we're helping prevent a repeat of the 2008 global financial crisis by offering the data and tools required to make smarter data-driven decisions resulting in a safer world for all of us.
More than 400 of the largest financial institutions use dv01 for our coverage of over 100 million loans spanning mortgages, personal loans, auto, buy-now-pay-later programs, small business, and student loans. dv01 continues to expand coverage of new markets, adding loans monthly, and developing new technologies for the structured products universe.

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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.

Nice To Haves

• 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

Responsibilities

• Build and operate an AI infrastructure platform
• Own the DevOps and infrastructure side of MLOps and Agentic Systems
• Enable AI services, agents, and runtime platforms
• Integrate MLOps capabilities into platform operations
• Establish governance, security, and operational guardrails
• 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
• 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.

Benefits

• Unlimited PTO. Unplug and rejuvenate, however you want—whether that’s vacationing on the beach or at home on a mental-health day.
• $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.
• 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.
• 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.
• 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.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed