Compensation
Salary undisclosedDescription
About Us
Supio is a trusted AI platform purpose-built for law firms, reshaping how data drives impactful outcomes. Our innovative approach blends technology with deep legal expertise, making us a leader in our field. We go beyond surface-level AI to deeply understand our customers’ daily needs, empowering law firms with unparalleled data insights. Supio delivers human-level, accurate analysis of complex data and legal records, quickly and efficiently bringing critical insights when they matter most. Trusted by top litigation lawyers, our platform has supported over $1 billion in settlements.
Headquartered in Seattle with an office in San Francisco, we raised $60M Series B in April 2025 led by Sapphire Ventures with Mayfield and Thomson Reuters Ventures, bringing total funding to $91M. We're scaling rapidly and looking for exceptional talent to join us in this next phase of growth.
We're looking for passionate team members who are motivated by our mission and ready to help us achieve it.
Who we're looking for
We're looking for a senior platform engineer who thrives on solving problems that don't yet have a playbook. You'll work directly alongside Supio's core engineering team building our agentic product, helping shape how we develop, deploy, and observe AI agents in production — an area where the industry hasn't settled on standards yet. You're energized by ambiguity, comfortable moving between deep infrastructure work and close day-to-day collaboration with product engineers, and motivated by ownership rather than tickets. This is a hands-on, builder-oriented role for someone who wants to be embedded with the team shipping Supio's flagship agentic experience.
What you'll do
- Own Agent Reliability & Observability: Evolve our observability stack — metrics, logging, tracing, alerting — that keeps Supio's agentic platform reliable in production.Drive Agent CI/CD: Design and maintain the CI and release pipelines that let the core engineering team ship new agent capabilities quickly and safely, in a space where testing and deployment standards for AI agents are still being invented.
- Partner with Product Engineering: Work directly and daily alongside the core engineering team, embedding platform expertise into how they build.
- Strengthen Core Infrastructure: Support and improve the underlying infrastructure — AWS, Kubernetes, databases, networking — that the agentic platform runs on.
- Productize Self-Serve Tooling: Turn ad hoc infrastructure needs into self-serve tools the product team can use independently, reducing their dependency on direct infra support.
Qualifications
- Experience: 5+ years in platform engineering, SRE, or infrastructure engineering, with direct ownership of production systems.
- Education: Bachelor's degree in Computer Science or related field, or equivalent practical experience.
- Technical Skills: Production experience with AWS, Kubernetes, and infrastructure-as-code (Terraform); hands-on with CI/CD pipelines (GitHub Actions); working knowledge of databases (Postgres) and messaging/queuing systems ; strong networking fundamentals.
- Observability: Demonstrated experience building or integrating observability tooling (metrics, logging, tracing, alerting), including making build-vs-adopt decisions and driving self-serve adoption.
- AI/Agentic Platform Experience: Hands-on experience building, operating, or supporting an AI/LLM or agentic platform in production.
- Cross-functional Collaboration: Track record of working directly alongside product/application engineering teams.
- Automation & Scripting: Comfortable writing scripts or light code to automate infrastructure tasks, with a solid understanding of software architecture fundamentals.
- Judgment Under Ambiguity: Able to operate effectively without an established playbook and exercise sound technical judgment in a fast-changing environment.
Nice-to-haves
- Background in distributed systems, data pipelines, or data analysis
- Startup or early-stage company experience with a builder mindset
- Experience productizing internal tooling for self-serve use by other engineering teams
Salary
As an early-stage startup, we offer a competitive compensation package that includes base salary, meaningful equity, and benefits. Equity grants are designed to ensure employees share in the long-term success and upside of the company.
Base Salary by Location
As an early-stage startup, we offer a competitive compensation package that includes base salary, meaningful equity, and benefits. Equity grants are designed to ensure employees share in the long-term success and upside of the company.
Base Salary: $200,000 - $240,000 annually
Actual compensation may vary outside of these ranges based on a number of factors, including a candidate's qualifications, skills, competencies, experience, and geographic location.
Compensation & Benefits
- 💰 Competitive Salary + Meaningful Equity
- 💹 401(k)
- ⚕️ Health, Dental, Vision, and Life Insurance
- 🏝 Flexible Time Off + Holidays
- 🧑💻 High-autonomy work environment, every Tuesday is a Remote Work Day
- 🥗 DoorDash subsidies for breakfast and dinner; Daily lunch options
- 🧋 Boba Wednesdays
- 🚃 Monthly commuter subsidies and pre-tax parking contribution
- 🚀 Team gatherings and offsites
E-Verify Participation Notice
Supio participates in E-Verify, an employment authorization program through the U.S. Department of Homeland Security and the Social Security Administration.
Equal Employment Opportunity (EEO) Statement
Supio is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Stack
LLMsEmbeddingsTerraformCI/CDPostgreSQLAgentic AIDistributed SystemsAWSKubernetesData Engineering
- Posted
- Sep 24, 2026
- Last seen
- Sep 25, 2026
- First seen
- Sep 24, 2026
