Staff Platform Engineer — Remote, Equity, Flexible PTO

Honor; United States; Remote; USD 194,000 - 216,000; Full time

Benefits offered by this job

Remote-first

Competitive salary

Equity in the company

Employer‑matched 401(k)

Flexible PTO

Diverse environment

Monthly home office stipend

Job summary

Honor is seeking an experienced Platform Engineer to design, implement, and maintain scalable distributed systems powering our Care Platform. You will own infrastructure and CI/CD pipelines, collaborating with cross-functional teams to deliver reliable services at scale.

The ideal candidate has deep experience with Python, Kubernetes, AWS, and IaC, and is comfortable mentoring others in a fast-paced, remote-first environment across the U.S.

Qualifications

• 6+ years in a platform engineering role within a product-focused company.
• 5+ years designing foundational patterns and libraries for Python apps across APIs and event processing.
• 3+ years with IaC tools such as CDK, Terraform, Ansible.
• 3+ years with production Kubernetes and cloud engineering, preferably AWS.
• 3+ years building and maintaining CI/CD pipelines (Jenkins, ArgoCD).
• Proficient in Bash/Python/Go scripting and automation.

Responsibilities

• Design, implement, and maintain scalable distributed systems and platform infrastructure.
• Own build and deployment pipelines, environments, and automation tooling.
• Collaborate with cross-functional teams to ship reliable services.
• Mentor teammates and drive best practices for security, observability, and reliability.
• Instrument observability using CloudWatch and DataDog to optimize performance.

Skills

Python

Kubernetes

AWS

CI/CD

Infrastructure as Code

Scripting

Observability

Mentorship

Communication

Product-minded

Tools

CDK

Terraform

Ansible

Kubernetes

Jenkins

ArgoCD

Job description

Honor is seeking an experienced Platform Engineer to design, implement, and maintain scalable distributed systems powering our Care Platform. You will own infrastructure and CI/CD pipelines, collaborating with cross-functional teams to deliver reliable services at scale.

The ideal candidate has deep experience with Python, Kubernetes, AWS, and IaC, and is comfortable mentoring others in a fast-paced, remote-first environment across the U.S.