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Trase Systems

Senior/Staff DevOps Engineer, Platform Infrastructure

  • Hybrid
  • 6+ years

Salary

$180,000 - 240,000/ year

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Description

Trase is the operating system for high-stakes environments, providing end-to-end solutions for deploying, managing, and optimizing AI within industries where security, governance, and data sovereignty are non-negotiable.

Our HIPAA- and SOC 2-compliant platform bridges the “last mile” of AI adoption, empowering sectors like healthcare and national security to run trustworthy, predictable AI agents across any model or environment—whether in the cloud, on-prem, or at the edge—with unified policy enforcement, continuous monitoring, and fully immutable audit trails.

Trase’s suite of products includes Origin, its agentic operating system; Leagues, its marketplace for specialized, configurable, ready-to-deploy agents; and Arena, where developers build, evaluate, and package the agents that run on Origin. The company has repeatedly topped Hugging Face’s GAIA Leaderboard for Generalized AI Assistants, placing it firmly at the forefront of AI-agent innovation.

About the Role

As a Senior or Staff DevOps Engineer on Platform Infrastructure, you will design and operate the infrastructure that supports Trase OS across Trase-hosted and customer-controlled environments. You will build secure, repeatable deployment patterns spanning AWS, Microsoft Azure, Google Cloud Platform, private cloud, hybrid cloud, and on-premises infrastructure.

This is a hands-on engineering role with broad ownership. You will work across application packaging, Kubernetes, infrastructure as code (IaC), networking, security, observability, release engineering, and production reliability. You will also partner directly with engineering and customer-facing teams to turn deployment requirements into systems that can be installed, upgraded, operated, and supported consistently.

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 supports mission-critical, long-running workflows in environments with different cloud services, network controls, security requirements, and operating models. Our deployment architecture must remain portable without sacrificing reliability, security, or operational clarity.

This role will reduce one-off deployment work, remove avoidable dependencies on a single cloud provider, and establish reusable infrastructure that internal teams and customers can operate with confidence.

Responsibilities

  • Architect, build, and operate secure infrastructure across AWS, Microsoft Azure, and Google Cloud Platform, as well as private-cloud, hybrid-cloud, on-premises, and customer-controlled environments.
  • Containerize and package Trase OS application services using Docker, Kubernetes, Helm, Kustomize, or equivalent tools.
  • Create reusable infrastructure-as-code (IaC) modules and deployment workflows using Terraform, Pulumi, or comparable tooling.
  • Design deployment patterns that account for customer-specific requirements such as restricted networks, limited or no egress, approved registries, data residency, and cloud account ownership.
  • Identify, replace, or abstract hard dependencies on managed cloud services when they prevent portability across deployment environments.
  • Troubleshoot complex issues across applications, Kubernetes clusters, cloud services, networks, and infrastructure rather than treating platform work as CI/CD scripting alone.
  • Build and maintain CI/CD and GitOps workflows, release orchestration, environment promotion, upgrade paths, rollback procedures, and version compatibility controls.
  • Build and operate observability for Trase OS across metrics, logs, traces, dashboards, alerting, and SLOs so teams can diagnose failures and support customer deployments.
  • Technical Leadership
  • Lead infrastructure and reliability decisions that affect multiple product and customer teams.
  • Set practical standards for production readiness, cloud portability, security, observability, and operational support.
  • Make clear tradeoffs between speed, maintainability, cost, security, and customer requirements, and drive decisions through implementation.
  • Build reusable platform capabilities that replace one-off deployment solutions.
  • Mentor engineers and raise the team's ability to design, ship, and operate distributed systems.

Requirements

  • 10+ years of software, platform, infrastructure, SRE, or DevOps engineering experience, including ownership of production systems.
  • Deep hands-on experience with Linux, Docker, Kubernetes, and production cluster operations.
  • Strong experience with Helm and infrastructure as code, such as Terraform or Pulumi, including reusable modules, state management, testing, and change review.
  • Hands-on infrastructure experience with at least two of AWS, Azure, and GCP, with working knowledge of core compute, networking, storage, identity, and managed-service patterns across all three.
  • Experience deploying and operating software across customer-controlled, private-cloud, hybrid-cloud, or on-premises environments, including adapting cloud-native SaaS products for these deployment models.
  • Strong understanding of networking, DNS, ingress, load balancing, certificates, IAM, secrets management, persistent storage, and service-to-service security.
  • Experience building and operating CI/CD or GitOps systems, including production releases, upgrades, and rollbacks, with metrics, logs, traces, SLOs, and alerts for incident response.
  • Strong software engineering and automation skills in Python, Go, TypeScript, or a similar language, with the ability to work across application and infrastructure layers.
  • Experience designing secure, portable production infrastructure, including hardening systems and replacing or abstracting cloud-specific managed services when needed.
  • Experience converting a cloud-native SaaS product into a customer-hosted, private-cloud, or on-premises deployment model.
  • Demonstrated experience using AI-assisted coding and engineering tools to accelerate development, infrastructure automation, troubleshooting, operational analysis, or incident investigation.
  • Preferred
  • Experience operating in restricted-network, disconnected, regulated, or security-sensitive environments.
  • Familiarity with compliance and security frameworks such as HIPAA, SOC 2, NIST, FedRAMP, or related government requirements.
  • Experience with service mesh, policy as code, admission controls, software supply-chain security, artifact signing, or software bills of materials.
  • Hands-on experience with Crossplane or meaningful contributions to CNCF projects, such as code, documentation, design, or community maintenance.
  • Experience supporting long-running, stateful, data-intensive, AI/ML, or GPU-enabled workloads.
  • Customer-facing engineering, solutions architecture, or forward-deployed engineering experience.
  • Up to 20% travel may be 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: $180,000-$240,000 + bonus + equity. This represents the typical salary range for this position based on experience, skills, and other factors.
  • 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 .
  • 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.

Where you’d work

Part of the week in the office

About the company

Trase Systems

  • Industry: AI

Office in Seattle, United States

5 of their 6 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

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  • 3 red flags

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Details13 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • Go
  • AWS
  • Google Cloud
  • Kubernetes
  • Docker
  • Terraform
  • Azure
  • Linux
  • CI/CD
  • Helm
Seniority
Staff
Type
Full-time
Equity
Equity offered
Industry
AI
Specialty
DevOps
Show 7 more factsShow less

Role

Category
DevOps & Infrastructure
Specialty
DevOps
Seniority
Staff
Experience
10+ years
Tech stack
  • Python
  • Go
  • AWS
  • Google Cloud
  • Kubernetes
  • Docker
  • Terraform
  • Azure
  • Linux
  • CI/CD
  • Helm

Location

Work model
Hybrid
Region
United States
Office
  • Seattle, United States

Compensation

Salary
$180,000 - 240,000 / year
Pay period
Annual
Equity
Equity offered

Employment

Type
Full-time

Company

Industry
AI

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