Platform Engineer; Hybrid

Our Purpose

At Fiddler, we understand the implications of AI and the impact that it has on human lives. Our company was born with the mission of building trust into AI. The rise of Generative AI and Agents has unlocked generalized intelligence but also widened the risk aperture and made it harder to ensure that AI applications are working well. Fiddler enables organizations to get ahead of these issues by helping deploy trustworthy, and transparent AI solutions.

Fiddler partners with AI-first organizations to help build a long-term framework for responsible AI practices, which, in turn, builds trust with their user base. AI Engineers, Data Science, and business teams use Fiddler AI to monitor, evaluate, secure, analyze, and improve their AI solutions to drive better outcomes. Our platform enables engineering teams and business stakeholders alike to understand the "what", “why”, and "how" behind AI outcomes.

Our Founders

Fiddler AI is founded by Krishna Gade (engineering leader at Facebook, Pinterest, Twitter, and Microsoft) and Amit Paka (product leader at Microsoft, Samsung, Paypal and two-time founder). We are backed by Insight Partners, Lightspeed Venture Partners, and Lux Capital.

Why Join Us

Our team is motivated to help build trust into AI to enable society harness the power of AI. Joining us means you get to make an impact by ensuring that AI applications at production scale across industries have operational transparency and security. We are an early-stage startup and have a rapidly growing team of intelligent and empathetic doers, thinkers, creators, builders, and everyone in between.

The AI and ML industry has a rapid pace of innovation and the learning opportunities here are monumental. This is your chance to be a trailblazer.

Fiddler is recognized as a pioneer in the field of AI Observability and has received numerous accolades, including: 2022 a16z Data
50 list, 2021 CB Insights AI 100 most promising startups, 2020 WEF Technology Pioneer, 2020 Forbes AI 50 most promising startups of 2020, and a 2019 Gartner Cool Vendor in Enterprise AI Governance and Ethical Response. By joining our brilliant (at least we think so) team, you will help pave the way in the AI Observability space.

Platform Engineering at Fiddler

AI is the engine that drives product velocity and customer success. We design and deliver the self-service tools and infrastructure that empower teams to innovate safely and  standardizing systems and reducing friction, we help every engineer focus on what matters most—building exceptional products that perform seamlessly for our customers

Our Platform Engineering team is a group of builders who make hard things look easy. They design and maintain the systems that keep Fiddler running smoothly; quietly holding the universe together with code, caffeine, and collaboration.

Spread across time zones but united in purpose, this crew thrives on solving real problems, sharing what they learn, and jumping in to help wherever they’re needed. They bring brains, grit, and a healthy sense of humor to everything they do. They’re the kind of teammates who fix the issue, explain how they did it, and still show up to celebrate the win with everyone else.

Platform Engineering doesn’t just keep the lights on, we’re busy designing better ones

• Help build our future platform using best practices from the PE community in industry.
• Build self-service infrastructure for our engineers and customers to ship their code quickly and reliably.
• Manage the containers-based model serving platform in both a hosted, multi-cloud environment and in customer on-premise VPCs.
• Operate underlying infrastructure (compute, networking, storage, etc.).
• Own the development experience for our customers, including CI/CD, local development environment, documentation, compliance, upgrading, and more.
• Establish monitoring and infrastructure health reporting for the advancement of self-healing infrastructure principles.
• Be on-call for services owned.
• Work across timezones in a collaborative remote environment.

• Masters or Bachelors degree in Computer Science or related…