Lead Platform Engineer — AI-Driven DevOps & Security

Zencoder; United States; Remote; USD 130,000 - 210,000; Full time

Benefits offered by this job

Remote-friendly

Equity

Founder mentorship

Job summary

Zencoder is seeking an experienced engineering lead to raise the bar on how software is built, tested, shipped, and operated. You’ll work hands-on with code, infra, and pipelines to raise the ceiling across the org for AI agents and human engineers alike.

You’ll define standards, build leverage, and help teams level up workflows, tooling, security posture, and delivery practices across CI/CD, testing, IaC, and observability.

Qualifications

• Strong software engineering background.
• Experience designing and building internal platforms - the judgment to know what to abstract, what to expose, and what to leave alone.
• Deep experience with CI/CD, automated testing, IaC, and developer tooling.
• Strong grasp of modern software security and secure delivery practices (shift-left / SecDevOps).
• A product mindset toward internal tooling - treating engineers and agents as users, and measuring whether the platform actually makes them faster.
• Real fluency with AI coding agents - how they work, where they fail, and what makes them effective.
• Understanding e2e test frameworks such as Playwright and how to scale them is a big plus.

Responsibilities

• Shape the platform and infrastructure that everything else runs on — the foundations product teams build on top of.
• Improve the full dev loop: local development, CI/CD, deployment, and production feedback.
• Define and drive standards around testing, IaC, observability, and secure delivery — and help product teams adopt them.
• Build shared tooling, templates, and golden paths that create real leverage — paved roads teams actually want to use.
• Own secure delivery end-to-end: unify security scanning, secrets management, dependency and supply-chain controls, and pen-testing workflows into the core pipeline so secure-by-default is the path of least resistance.
• Stay ahead of the shifting security landscape as AI agents reshape both how vulnerabilities emerge and how they're exploited.
• Shape repos, tooling, and conventions so coding agents can navigate them efficiently — clear structure, good test signal, fast feedback loops, well-scoped contexts, and docs agents can actually use.
• Measure impact against DORA metrics and qualitative signals from engineering teams.

Skills

Strong software engineering

Internal platform design

CI/CD

Automated testing

IaC

Developer tooling

Security (SecDevOps)

AI coding agents

Playwright familiarity

Tools

Playwright

Terraform

Docker

Kubernetes

Job description

Zencoder is seeking an experienced engineering lead to raise the bar on how software is built, tested, shipped, and operated. You’ll work hands-on with code, infra, and pipelines to raise the ceiling across the org for AI agents and human engineers alike.

You’ll define standards, build leverage, and help teams level up workflows, tooling, security posture, and delivery practices across CI/CD, testing, IaC, and observability.