Platform Engineer

D R W Inc
United States
16 days ago
Apply on startup.jobs
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$130,000.0 - $190,000.0
Working hours
Regular working hours
Job source

Tech stack

Clean Code Principles Application Programming Interfaces (APIs) Artificial Intelligence Microsoft Azure Cloud Computing Cloud Engineering Distributed Systems Python (Programming Language) Network Control Dynamic Routing Large Language Models AI Platforms
+2 more
Api Design Api Gateway

Job description

We are looking for a Platform Engineer to help build and operationalize our AI tooling ecosystem. Working closely with the Team Lead and Senior/Staff SWE, you will be the hands-on integrator connecting external cloud AI providers, internal models, and end-user tools into our unified control plane., * Configure and manage multi-engine API gateways, implementing dynamic routing rules, rate limits, and fallback logic for LLM requests.

  • Execute the technical migration and integration of firm-wide tools into our centralized management plane to ensure all AI traffic is securely logged and governed.
  • Operate within our Shared Responsibility Model alongside the Cloud team to manage AI services deployed in enterprise landing zones (e.g., managing Azure OpenAI instances, model deployments, and API key generation).
  • Write robust Go and Python code to support the continuous sync loop for our usage dashboard and implement automated “progressive friction” mechanisms, such as alerts.
  • Partner with the Inference Infrastructure pod to ensure our self-hosted, on-premise models are successfully registered and routable within our AI gateways.

Requirements

  • Strong backend programming experience, specifically in Go and/or Python.
  • Hands-on experience with API design, integration, and platform/cloud engineering concepts.
  • Familiarity with API gateways, proxy configuration, or distributed system networking.
  • A strong interest in the rapidly evolving LLM ecosystem and the technical mechanics of AI tooling.
  • A collaborative mindset with a focus on writing clean, maintainable code to replace prototype systems.

Benefits & conditions

The annual base salary range for this position is $130,000 to $190,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.

About the company

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters-it’s how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on startup.jobs
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:10 min

Understanding the core concepts of API design

Alen Pokos · LIVE

1:32 min

Designing a centralized API gateway and identity provider

Axel Barbier · World Congress 2023

2:36 min

Choosing between managed AI platforms and custom governance

Péter Farkas Péter Farkas · Europe 2026 Virtual

1:34 min

Pivoting careers into specialized platform engineering roles

Xavier Portilla Edo · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:26 min

Prioritizing backward compatibility in API design

Justin Kitagawa · Coffee With Developers

Videos

See all

Related articles

See all