dv01 · 6 hours ago
MLOps Platform Engineer
United States
Full-time
Remote
Senior Level, Lead/Staff
$185K/yr - $200K/yr
8+ years expdv01 is a data analytics company focused on the structured finance market, providing transparency and tools for responsible lending. The MLOps Platform Engineer will design and operate cloud-native infrastructure to accelerate AI development and integrate MLOps capabilities into platform operations while ensuring governance and security for AI systems.
LendingRisk Management
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
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
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
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
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
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
Qualification
Required
8+ years of experience in cloud infrastructure, DevOps, or platform engineering roles, with deep expertise designing and operating distributed systems in production
5+ years of MLOps experience
Proficient in building and managing cloud environments, Kubernetes, containerized workloads and infrastructure-as-code tools such as Terraform
Hands-on experience supporting platforms that 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
Strong understanding of infrastructure security, IAM, secrets management, and operational risk as it relates to AI-enabled systems
Operate effectively as a technical leader, influencing architecture and standards while remaining hands-on
Communicate clearly, collaborate well cross-functionally, and thrive in ambiguous problem spaces
Proactive and innovative, with the ability to introduce emerging agentic patterns while balancing operational maturity and long-term maintainability
Preferred
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
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.
Company
dv01
As a hub between lenders and capital markets, dv01 provides one source of transparent data for bonds and whole loans.
51-200 employees
H1B Sponsorship
dv01 has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (6)
2024 (10)
2023 (2)
2022 (6)
2021 (2)
2020 (4)
Funding
Current Stage
Growth StageTotal Funding
$34MKey Investors
Pivot Investment PartnersOCA Ventures
2022-09-13Acquired
2021-01-12Series B· $6M
2019-01-30Series B· $15M
Leadership Team
Perry Rahbar
Founder & CEO
Jonathan Warrick
Chief Operating Officer
Recent News
Morningstar.com
2025-06-01
2025-04-21
Company data provided by crunchbase