Platform Engineering Lead — AI-Driven DevOps

Jobtailor; California (MO); On-site; USD 140,000 - 180,000; Full time

Job summary

Jobtailor seeks a senior Platform Engineer to lead Platform Engineering & Operations with hands-on contributions. You will mentor engineers, shape infrastructure strategy, and drive cloud architecture across development, staging, and production environments.

You will own CI/CD pipelines, IaC/GitOps adoption, and container orchestration, while securing identity, secrets, and KMS strategies. Partner with security/compliance and advance observability.

Qualifications

• BS in computer science or related field, or equivalent experience.
• Minimum 4+ years building enterprise-grade software/platforms.
• 2+ years platform engineering across cloud models.
• Hands-on Kubernetes, containers, and cloud-native apps.
• Experience with cloud platforms (AWS/Azure/GCP).
• Proficient in at least two programming languages.

Responsibilities

• Serve as a senior technical leader and hands-on contributor for Platform Engineering & Operations.
• Mentor cloud and platform engineers.
• Shape the technical strategy and roadmap for infrastructure and platform engineering.
• Drive cloud architecture and account strategy across development, staging, and production environments.
• Drive adoption of infrastructure-as-code and GitOps practices.
• Own container orchestration across multiple deployable services and cloud accounts.
• Manage CDN/edge/WAF capabilities for content delivery, DDoS protection, edge security, and traffic optimization.
• Own identity management, account-level security posture, secrets management, and KMS key strategy.
• Partner with security and compliance teams on audits and vendor/security assessments.
• Own and evolve CI/CD pipelines through production deployments.
• Drive developer experience and internal tooling.
• Contribute to on-call, incident-response, and postmortem practices.
• Evaluate and adopt AI-assisted engineering tools across infrastructure, CI/CD, and internal tooling.
• Lead AI-driven observability and operations practices.
• Own infrastructure strategy for ML/AI product features, including model serving, inference monitoring, and compute scaling.
• Champion self-service internal developer platforms and golden paths

Skills

Cloud Architecture

Kubernetes

Infrastructure-as-Code

CI/CD Pipelines

Public Cloud Services

Programming Languages

Open-Source & DevTools

Security & Compliance

Mentoring & Leadership

Observability & Monitoring

Education

Bachelor's degree in Computer Science or related discipline

Tools

Docker

GitHub Actions

Jenkins

Ansible

Splunk

AppDynamics

New Relic

Terraform

Job description

Jobtailor seeks a senior Platform Engineer to lead Platform Engineering & Operations with hands-on contributions. You will mentor engineers, shape infrastructure strategy, and drive cloud architecture across development, staging, and production environments.

You will own CI/CD pipelines, IaC/GitOps adoption, and container orchestration, while securing identity, secrets, and KMS strategies. Partner with security/compliance and advance observability.