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Clear Street

Senior / Staff Software Engineer, AI Platform

Remote · Staff/Principal · Remote

Older listing - lower visibility likelyVerified listingPosted 87d ago

Applicants who checked fit first are 3.1× more likely to hear back

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86Overall
64Skills
97Experience

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What we know about this role

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Clear Street is reviewing applications at a steady pace. Expect a standard response time as they evaluate the current pool.

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Window passed - posted 87d ago

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Skills required

10 listed
Best ExecutionAsset ClassesReact NativePerformance ProfilingService DesignApplication Programming Interface (API)Rust (Programming Language)TypeScript+2 more
Best ExecutionAsset ClassesReact NativePerformance ProfilingService Design

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Job description

Clear Street is modernizing the brokerage ecosystem. Founded in 2018, Clear Street is a diversified financial services firm replacing the legacy infrastructure used across capital markets.

We started from scratch by building a completely cloud-native clearing and custody system designed for today's complex, global market. Our platform is fully integrated with central clearing houses and exchanges to support billions in trading volume per day. We've agonized about our data model abstractions, created horizontal scalability, and crafted thoughtful APIs. All so we can provide a best-in-class experience for our clients.

By combining highly-skilled product and engineering talent with seasoned finance professionals, we're building the essentials to compete in today's fast-paced markets.

The Team:
The mission of the Clear Street Active team is to provide best execution for every asset class in every market. Active is currently building a new, state-of-the-art, cloud-based trading platform providing high-performance traders access to liquidity venues across multiple asset classes, cutting-edge charting capabilities, and sophisticated order handling with the flexibility to service both the active trader and institutional workflows.

The Role:

  • You will build the core AI platform that powers a copilot inside a new, AI-native trading experience

  • You will develop a high-performance backend in Rust that supports streaming responses, low-latency tool execution, caching, and reliable orchestration of model + tools

  • You will design robust APIs and runtime components for AI capabilities: authentication/authorization, rate limits, auditing, tracing, retries, and fallbacks

  • You will build safe action infrastructure for trading workflows: deterministic order previews, confirmation flows, idempotent tool calls, and comprehensive audit logs

  • You will partner with product and frontend to enable great AI-native UX patterns (streaming, citations/grounding, “why” explanations, reversible actions)

  • You will develop a deep understanding of the business domain and help translate it into secure, resilient platform primitives

    Tech Stack: Rust (backend), Postgres, TypeScript, React / React Native, LLM APIs / model serving


Requirements:

  • At least Eight (8) years of experience and strong proficiency with any programming language
  • Strong knowledge of systems programming fundamentals: concurrency, networking, performance profiling, reliability, and distributed systems patterns
  • Experience designing and operating production APIs/services with strong observability, correctness guarantees, and security considerations
  • Ability to work with stakeholders to define platform requirements, design the architecture, and deliver it end-to-end
  • High degree of self-motivation and willingness to jump into unfamiliar areas to solve problems

Bonus:

  • Strong Rust experience in production (Tokio/async, service design, performance tuning)
  • Experience building platforms for AI/ML inference, tool execution, streaming, or retrieval/grounding systems
  • Experience in trading systems (order lifecycle, execution, risk checks, auditability) or other mission-critical financial infrastructure
  • Deep experience with trading across asset classes, margin types, etc.
  • Experience with Postgres performance and data modeling in high-throughput systems

We Offer:
The Base Salary Range for this role is $200,000 - $350,000. This range is representative of the starting base salaries for this role at Clear Street. Where a candidate falls in this range will be based on job related factors such as relevant experience, skills, and location. This range represents Base Salary only, which is just one element of Clear Street's total compensation. The range stated does not include other factors of total compensation such as bonuses or equity.

At Clear Street, we offer competitive compensation packages, company equity, 401k matching, gender neutral parental leave, and full medical, dental and vision insurance. In-office benefits include lunch stipends, fully stocked kitchens, happy hours, a great location, and amazing views.

Our top priority is our people. We're continuously investing in a culture that promotes collaboration. We help each other through challenges and celebrate each other's successes. We believe that modern workplaces succeed by virtue of having high-performance workforces that are diverse — in ideas, in cultures, and in experiences. We are proud to be an equal opportunity employer and put in the effort to make such a workplace a daily reality. #LI-Remote

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Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreCalculated · locked
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

No credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.

Join WhatsAppJoin Telegram

No spam. Just jobs and resources.

Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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