Trase Systems

Own core execution model and platform architecture ensuring scalability and reliability while mentoring senior engineers. | 10+ years experience in distributed platform systems with expertise in durable execution and proficiency in Go, Rust, Java, or TypeScript. | About Us Co-founded in 2023 by Joe Laws and 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 Staff Software Engineer, you’ll own the core execution model and platform architecture of Trase OS - the shared platform (“agentic operating system”) that powers all Trase deployments in regulated environments. You’ll define the abstractions and APIs that connect workflows, agents, tools, and product surfaces, and ensure the correctness, scalability, and extensibility of the system. This is a company-critical role: you are responsible for how the system behaves under real-world conditions, including failure, scale, and security constraints. Your work sets the technical direction for the platform and acts as a force multiplier across all engineering teams. 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. 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: Define 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 Hard 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 Develop the core execution model (state machine, lifecycle, resource model, failure semantics) Design 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 & unblock senior engineers; partner with Product, Security, and Customer teams to translate requirements into durable primitives Make pragmatic choices on storage, queueing, and compute; create paved roads that accelerate all other teams Define system boundaries and reduce cross-service coupling through clear architectural patterns Drive platform-wide standards for correctness, reliability, and API design across teams Balance short-term delivery with long-term architectural integrity, ensuring the platform evolves without accumulating systemic risk Requirements 10+ years of experience building distributed/platform systems, including significant experience defining architecture across teams or domains Experience building 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 Proven ability to influence technical direction across an organization and drive adoption of architectural standards 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 Salary Range: $180,000-245,000. This represents the typical salary range for this position based on experience, skills, and other factors. #LI-RCP 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. 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. 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Design, manage, and optimize scalable CI/CD pipelines and Bazel build systems to improve developer velocity and software quality. | Proven DevOps/build engineering experience with deep Bazel expertise, CI/CD pipeline management, Python scripting, Docker, and strong communication skills. | About Us: Co-founded in 2023 by Joe Laws and 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 Are you passionate about building the systems that empower engineers to build and ship software quickly and reliably? Do you excel at optimizing complex build systems and creating frictionless CI/CD pipelines? If so, we have an exciting opportunity for you as a DevOps Engineer at Trase Systems. As a DevOps Engineer, you will own the critical infrastructure that enables our engineering and research teams to iterate efficiently. You will be responsible for designing, managing, and scaling our CI/CD pipelines and our Bazel build system. Your work will directly impact developer velocity and the quality of our AI platform. If you are a proactive problem-solver with a passion for automation and a desire to create a world-class developer experience, we invite you to join our mission. Responsibilities Design, implement, and manage scalable and efficient CI/CD pipelines for our backend, frontend, and machine learning services. Own and optimize the Bazel build system, ensuring fast, reliable, and reproducible builds across the organization. Collaborate closely with engineering teams to understand their development workflows and improve the overall developer experience related to building and deploying code. Manage the infrastructure required for our build and deployment systems, using Infrastructure as Code (IaC) to automate provisioning. Implement and enforce security best practices within the CI/CD process to secure our software supply chain. Troubleshoot and resolve complex issues in the build and deployment pipeline, providing support to engineering teams. Stay up-to-date with the latest developments in CI/CD, build systems, and cloud technologies to drive continuous improvement. Requirements Proven experience in a DevOps or a similar role focused on build and release engineering. Deep, hands-on experience with the Bazel build system is required. Extensive experience building and managing CI/CD pipelines using tools like GitLab CI, Jenkins, CircleCI, or similar. Proficiency in scripting languages such as Python. Strong experience with containerization technologies like Docker. Excellent problem-solving skills, with a demonstrated ability to troubleshoot complex build and deployment issues. Exceptional written and verbal communication skills, with the ability to effectively collaborate with team members and stakeholders. A Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. Benefits 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 with educational reimbursements. Optional 401K, FSA, and equity incentives available. Mental health benefits through TARA Mind. Some travel is required. 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: $170,000-$220,000. This represents the typical salary range for this position based on experience, skills, and other factors. 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.