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Director of Engineering - Cloud Platform and DevOps

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: Evergreen
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Cloud Computing, Systems Engineer, IT Project Manager, SRE/Site Reliability
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Overview

As Director of Engineering – Cloud Platform & Dev Ops, you will own the design, build-out, and operation of Evergreen.

AI’s cloud infrastructure and internal platform capabilities. This is a deeply hands-on leadership role for someone who has built cloud platforms from scratch and knows how to scale them reliably in fast-moving, startup-like environments.

You will be responsible for establishing Evergreen.

AI’s cloud foundation across Azure (primary), AWS, and GCP, enabling engineering teams to ship quickly while maintaining enterprise-grade security, reliability, and cost control. This role is about building real production platforms — not experiments — and creating the tooling, processes, and teams needed to support rapid growth.

Key Responsibilities

Platform Engineering Leadership:

Build and lead a high-performing platform / Dev Ops organization; establish clear ownership, on-call models, career paths, and engineering standards in a startup context.

Hands-On Infrastructure Build-Out:

Personally lead and contribute to the implementation of Kubernetes platforms, IaC foundations, CI/CD pipelines, and environment bootstrapping (dev → staging → prod).

Delivery & Reliability Excellence:

Establish production-grade operational practices including monitoring, alerting, incident response, runbooks, SLOs/SLAs, and multi-region resiliency strategies.

Dev Sec Ops  & Governance:

Implement secure SDLC practices, secrets management, identity and access controls, vulnerability scanning, and compliance-ready workflows (SOC 2, ISO 27001, GDPR).

Cost, Scale & Performance Optimization:

Own cloud cost management, capacity planning, autoscaling strategies, and performance optimization as the platform scales.

Internal Enablement:

Build self-service tooling, developer platforms, and golden paths that enable product and AI teams to move fast without compromising stability.

Qualifications
  • 10+ years of experience in software engineering or infrastructure, with 4+ years leading platform, Dev Ops, or cloud engineering teams.
  • Proven hands-on experience building cloud platforms from scratch in Azure (required); experience with AWS and GCP strongly preferred.
  • Deep expertise in Kubernetes, container orchestration, and cloud-native architectures.
  • Strong experience with Infrastructure as Code (Terraform, Bicep, Pulumi), CI/CD systems, and release automation.
  • Hands-on knowledge of networking, IAM, security architecture, and zero-trust patterns in cloud environments.
  • Experience designing multi-environment, multi-region production systems with high availability requirements.
  • Proven experience leading engineering organizations that have implemented agentic approaches to augment and enhance SDLC practices (e.g. AI-assisted development, testing, code review, deployment, and operational workflows).
  • Startup or scale-up experience building tools, processes, and teams with minimal existing structure.
  • Exceptional leadership, communication, and execution skills in fast-changing environments.
  • Advanced degree in Computer Science or equivalent practical experience.
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