Senior Platform Engineer

Supio

• $200K — $240K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in platform engineering, SRE, or infrastructure engineering with ownership of production systems
  • Bachelor's degree in Computer Science or related field, or equivalent experience
  • Experience with AWS, Kubernetes, infrastructure-as-code (Terraform), CI/CD pipelines (GitHub Actions), Postgres, and networking fundamentals
  • Proven experience in building or integrating observability tooling
  • Hands-on experience supporting an AI/LLM or agentic platform in production
  • Demonstrated ability to collaborate with product/application engineering teams
  • Proficient in scripting or light coding for automation tasks

Responsibilities

  • Evolve the observability stack to ensure reliability of the agentic platform
  • Design and maintain CI and release pipelines for rapid and safe capability deployment
  • Collaborate daily with the core engineering team, providing platform expertise
  • Support and enhance the infrastructure running the agentic platform
  • Develop self-serve tooling for product teams to reduce direct infrastructure dependency

Benefits

  • Competitive salary with meaningful equity
  • 401(k) plan
  • Health, dental, vision, and life insurance options
  • Flexible time off plus holidays
  • High-autonomy work environment with designated remote work days
  • Subsidies for meals and commuting
  • Monthly team gatherings and offsites
Full 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.

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


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