Senior Platform Engineer

Supio

Seattle, San Francisco (WA, CA)

On-site

USD 200,000 - 240,000

Full time

5 days ago
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Job summary

Supio is seeking a senior platform engineer to partner with the core engineering team and shape how we develop, deploy, and observe AI agents in production. You’ll own reliability, visibility, and the tooling that empowers teams to move fast in a rapidly evolving space.

You will work hands-on across infrastructure, CI/CD, and platform tooling, embedding with product engineers to deliver a scalable agentic experience.

Qualifications

  • 5+ years in platform engineering, SRE, or infrastructure engineering with ownership of production systems.
  • Bachelor's degree in Computer Science or equivalent practical experience.
  • Production experience with AWS, Kubernetes, and infrastructure-as-code (Terraform); CI/CD with GitHub Actions.
  • Experience with observability tooling and self-serve adoption.
  • Hands-on experience with AI/LLM or agentic platforms in production.

Responsibilities

  • Own Agent Reliability & Observability: evolve metrics, logging, tracing, and alerts.
  • Drive Agent CI/CD: design and maintain pipelines for rapid, safe releases.
  • Partner with Product Engineering: embed platform expertise into product development.
  • Strengthen Core Infrastructure: support AWS, Kubernetes, databases, networking.
  • Productize Self-Serve Tooling: create self-serve tools for product teams.

Skills

Platform engineering
SRE
Observability
CI/CD
Terraform
AWS
Kubernetes
Networking
Automation

Education

Bachelor's degree in CS or related field

Tools

GitHub Actions
Terraform
PostgreSQL
AWS

Job description

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.

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