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.