---
title: 'Senior/Staff Software Engineer (Platform and Execution Model) at Trase Systems'
canonical: 'https://feeny.ai/job/senior-staff-software-engineer-platform-and-execution-model-trase-systems-x0xvxn6qv1wq'
type: 'job'
last_seen: '2026-10-31'
---

# Senior/Staff Software Engineer (Platform and Execution Model) at Trase Systems

- **Company:** Trase Systems
- **Location:** Seattle WA Preferred OR Mclean VA OR, United States
- **Work type:** remote
- **Posted:** 2026-10-07
- **Last confirmed live:** 2026-10-31
- **Apply:** https://job-boards.greenhouse.io/trase/jobs/5255658007

## Job description

## About Us

Co-founded in 2023 by [Joe Laws](https://www.redcellpartners.com/member/joe-laws/) and [Grant Verstandig](https://www.redcellpartners.com/member/grant-verstandig/), Trase Systems is AI, Uncomplicated. Trase empowers enterprise leaders to harness the full potential of AI without the associated complexity and risks. We are an end-to-end solution for deploying, managing, and optimizing AI in the enterprise. Our platform specializes in bridging the “last mile” of AI adoption, unlocking AI's full potential while driving efficiency and significant cost savings. Trase is at the forefront of AI Agent innovation, topping the Hugging Face GAIA Leaderboard for Generalized AI Assistants, ahead of industry giants such as Google, Meta, Microsoft, and OpenAI. We are leveraging our cutting-edge technologies to develop mission-critical agentic applications in complex industries such as Healthcare, Oil & Gas, and National Security.

## About The Role

As a Senior or Staff Software Engineer, you'll build and own critical parts of Trase OS, the shared platform that powers Trase deployments in regulated environments. You'll work on the distributed systems and platform primitives connecting workflows, agents, tools, and product surfaces, with a particular focus on reliability, scalability, and correctness.

You'll take on technically ambiguous problems, design solutions, and drive them through production. This is a hands-on engineering role for someone who is comfortable going deep on distributed systems while helping other engineers make sound architectural decisions.

Clean abstractions and correctness-under-failure are critical because we operate long-lived agents in healthcare/defense environments where auditability and reliability are non-negotiable.

The level will reflect your experience and demonstrated scope. Staff-level candidates will be expected to lead architecture across teams, establish engineering standards, and mentor other engineers.

## Why This Role is Needed

Trase OS is an orchestration-heavy system coordinating long-lived workflows, agents, and tools across multiple services and environments.

As the platform evolves, the primary risks shift from implementation to system design quality:

- Poor abstractions create tight coupling across services
- Workflow execution becomes difficult to reason about under failure
- Platform capabilities fragment instead of becoming reusable primitives
- Scaling introduces complexity instead of leverage

This role exists to:

- Design and implement clean, durable abstractions for the platform execution model
- Ensure correctness and determinism in workflow execution
- Translate evolving product requirements into coherent platform architecture
- Enable teams to build on Trase OS without introducing systemic complexity

What Makes This Role Challenging

- You are designing systems where failure is the norm, not the exception, and correctness must be preserved across retries, restarts, and partial execution
- You must balance clean abstractions with real-world constraints (performance, security, multi-tenant environments)
- Decisions made here become foundational primitives used across all products and teams
- The system must remain understandable and auditable, even as complexity and scale increase

## Responsibilities

- Design, build, and own critical components of the core execution model (state machine, lifecycle, resource model, failure semantics)
- Build reliable distributed systems that behave predictably across retries, restarts, partial failures, and concurrent execution.
- Develop platform APIs/SDKs connecting workflows, agents, tools, and product surfaces; drive versioning & compatibility
- Guarantee correctness via idempotency, deterministic replays, compensating actions, and data integrity
- Engineer reliability at scale: concurrency controls, rate limits, backpressure, sharding/partitioning, and workload isolation
- Build security & governance into the core: RBAC/ABAC, policy enforcement, fine-grained audit & lineage
- Deliver observability: distributed tracing, structured logs, metrics, and evaluation hooks; build an “explainable trail” of agent actions
- Own quality: design reviews, test strategy (unit, property, chaos), performance baselines, SLOs, incident response, and postmortems
- Mentor engineers, contribute to design reviews, and help establish strong engineering patterns across the platform.

## Requirements

- 8+ years of experience building distributed/platform systems, including significant experience defining architecture across teams or domains
- 4+ years owning mission-critical runtimes or workflow/orchestration systems
- Deep expertise with durable execution (e.g., state machines, event sourcing, saga/compensation, idempotency, exactly/at-least-once semantics)
- Proven track record with security & governance in production systems (auth, RBAC, audit, policy)
- Hands-on with observability (Grafana or equivalent), including trace correlation across async boundaries
- Strong systems design across storage, queues, schedulers, and evented architectures; performance tuning under load
- Excellence in a modern language (e.g., Go, Rust, Java, or TypeScript) and cloud-native stacks (containers, CI/CD, IaC)
- Comfortable operating in regulated or high-assurance environments; bias toward correctness, clarity, and documentation
- Strong technical judgment and the ability to influence design decisions within a team and across closely related engineering areas.
- Ability to incorporate advance LLM capabilities into system design and platform architecture decisions where appropriate

## Nice to Have

- Prior work on workflow engines (Temporal/Cadence/AWS Step Functions, Argo, Airflow) or serverless runtimes
- Experience with policy engines (OPA), secrets/KMS, or data-handling controls (PII/PHI)
- ML/LLM evaluation frameworks, tool/plugin architectures, or embedding model governance into execution
- Government or healthcare experience (HIPAA, audit readiness) and multi-tenant isolation

If you want to be on the cutting edge of technology, building AI solutions for the future, and are up for a challenge, let’s talk!

Salary Range: $180,000-240,000. This represents the typical salary range for this position based on experience, skills, and other factors.

Some travel to customers may be required. Our Trase Benefits:

For full-time roles only

- Career track opportunity with potential for rapid advancement with strong performance as the firm grows
- 100% employer paid, comprehensive health care including medical, dental, and vision for you and your family.
- Paid maternity and paternity for 14 weeks at employees' normal pay.
- Unlimited PTO, with management approval.
- Opportunities for professional development and continued learning.
- Optional 401K, FSA, and equity incentives available.
- Mental health benefits are available through [Tara Mind](https://www.taramind.com/).

We’re an Equal Opportunity Employer: You’ll receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.

Applicant Data Disclosure

By submitting an application, you acknowledge that Red Cell Partners, LLC ("Red Cell") uses third-party service providers to facilitate its recruitment and hiring processes. These providers include applicant tracking systems, candidate verification platforms, and fraud detection tools (collectively, "Hiring Platforms"). Your application materials, including your résumé, cover letter, work samples, responses to application questions, and any other information you submit, may be transmitted to and processed by these Hiring Platforms for the following purposes:

- Managing and administering your application throughout the hiring process;
- Verifying the accuracy and authenticity of application materials, including by cross-referencing information you provide against publicly available sources and proprietary databases;
- Identifying indicators of potentially fraudulent, fabricated, or materially misleading application content, including but not limited to discrepancies between submitted materials and publicly available professional profiles, geographic anomalies, and fabricated work histories.

Applications that are flagged through this process as containing indicators of fraud or material misrepresentation may be declined from further consideration. If you have questions about the status of your application or the evaluation process, please contact talent@redcellpartners.com.

Red Cell requires its Hiring Platform providers to process your information solely for the purposes described above and in accordance with applicable law. Your information will be retained only for as long as necessary to fulfill these purposes and any applicable legal obligations, after which it will be deleted in accordance with Red Cell's data retention policies.

For more information about how your data is used, please refer to our Privacy Policy and [Applicant Privacy Notice](https://www.redcellpartners.com/applicant-privacy-policy/).

## About Trase Systems

## Company Overview
- **One-liner**: Trase provides a governed AI operating system for deploying, managing, and optimizing autonomous agents in highly regulated industries such as healthcare, government, and defense.
- **Entity Type**: Private (Seed stage – raised $107M seed round in June 2026, plus $10.5M pre-seed in November 2025)
- **Headquarters**: McLean, Virginia, United States
- **Founded**: 2023
- **Founders**: Grant Verstandig (Co-Founder & CEO) and Joe Laws (Co-Founder & Chief Architect)

## Core Business
- **Primary industry/industries**: AI agent platform, governed AI, healthcare IT, government technology, defense, energy
- **Target customers**: B2B – Enterprise, specifically health systems, defense teams, clinical trial organizations, and regulated enterprises
- **Mission or purpose statement**: "To empower elite organizations to deploy AI the right way." To be the unbreakable foundation behind the decisions that matter most.

## Products & Services
- **Trase OS**: Orchestrate, secure, and govern agents across cloud, on-prem, and edge devices. (Platform/OS)
- **Trase Arena**: Build and launch custom agents on Trase OS. (Development environment)
- **Trase Leagues**: Specialized, configurable, ready-to-deploy agents for specific use cases (e.g., healthcare, government). (Pre-built agent suites)
- **Trase SDK**: Software development kit for integrating and extending Trase capabilities. (Developer tool)
- **Trase Origin**: A component for orchestrating, securing, and governing agents across environments. (Infrastructure layer)

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total funding of at least $117.5M ($10.5M pre-seed + $107M seed round)
- **Notable Investors/Partners**: Early partners include Duke Health and the U.S. Navy. Specific investors are not publicly named in available sources, but the company is backed by Red Cell Partners (based on talent sourcing).
- **Growth Signals**: Headcount grew 253.3% year-over-year to 45 employees (as of mid-2026). Duke Health's cardiology division automated 1,400 monthly hours of fax processing using Trase. Topped the Hugging Face GAIA Leaderboard for Generalized AI Assistants, ahead of Google, Meta, Microsoft, and OpenAI. 9 active job postings across engineering, sales, and product.

## Competitive Advantages
- **Governance-first architecture**: Built for compliance, auditability, and data sovereignty from day one — critical for healthcare, defense, and energy.
- **Rapid deployment**: Claims "go live in less than 30 days" with pre-built agents and modular infrastructure.
- **Proven performance in regulated environments**: Already deployed in health systems and defense teams where failure is not an option.
- **99.8% annualized value creation** (as stated on website) and significant admin work reduction.

## Strategic Focus
- **Current priorities**: Scaling deployment across healthcare, government, and energy verticals; expanding agent library and governance features; building out sales and partnership teams.
- **Direction for growth**: Targeting "hundreds of millions" in future funding; deepening integrations with existing enterprise systems; expanding into national security and energy sectors.

## Why Work Here
- **Culture highlights**: Values "Integrity. Always." and a "Play to Win" mindset. Emphasis on disciplined, talented people united around a shared mission.
- **Remote/hybrid/office policy**: Hybrid and remote options available. Office locations in Seattle, WA; McLean, VA; and Durham, NC. Many roles are remote (USA) with preference for proximity to hubs.
- **Notable perks** (from careers page):
  - 14 weeks fully paid parental leave
  - 100% employer-paid health, dental, and vision for employee and family
  - Unlimited PTO
  - Competitive salary
  - Optional 401(k) and FSA plans
- **Engineering culture**: Cutting-edge work on agentic AI (top of GAIA leaderboard), with roles in platform architecture, DevSecOps, developer experience, and AI research. Fast-paced, high-growth startup environment.

## Sources
1. [Trase homepage](https://www.trase.ai/)
2. [Trase About page](https://www.trase.ai/about)
3. [Trase Careers page](https://www.trase.ai/careers/)
4. [Trase LinkedIn company page](https://www.linkedin.com/company/trasesystems)
5. [Trase Greenhouse job board](http://job-boards.greenhouse.io/trase)
6. [Axios - Trase raises $107M for health care and defense AI](https://www.axios.com/) (snippet confirmed via search)
7. [Technical.ly - McLean startup Trase raises $107M seed round](https://technical.ly/) (snippet confirmed via search)
8. [Washington Business Journal - Duke Health cardiology automation](https://www.bizjournals.com/washington) (snippet confirmed via search)

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