About the company
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Director, Platform Engineering based in the United States.
Responsibilities
- Own and evolve Azure cloud infrastructure and Kubernetes environments, ensuring reliability, security, scalability, performance, and cost efficiency.
- Lead the adoption of AI-assisted engineering practices for platform infrastructure, establishing standards, guardrails, review processes, and quality expectations for AI-generated code and infrastructure.
- Define and drive infrastructure as code, CI/CD, and GitOps practices that enable engineering teams to deploy safely, efficiently, and consistently.
- Own secrets management and the DevOps tooling supporting secure deployment and operational workflows.
- Maintain and evolve database and data warehouse infrastructure, ensuring scalability, reliability, and operational resilience.
- Establish and improve observability, monitoring, incident response, and reliability engineering practices across the platform.
- Improve developer experience by providing reliable tooling, automation, infrastructure services, and engineering standards.
- Lead, manage, mentor, and develop platform engineers and engineering managers while remaining hands-on with architecture, coding, technical reviews, and incident response.
- Partner with Security and Corporate IT on responsibilities and handoffs spanning infrastructure, security, access, and operational tooling.
- Evaluate technical risks, architectural tradeoffs, and opportunities for continuous improvement across the platform engineering estate.
- Establish scalable engineering practices that support secure, maintainable, and efficient infrastructure operations.
Requirements
- 7+ years of experience in infrastructure, platform, or DevOps engineering, including hands-on experience with Azure, Kubernetes, PostgreSQL, and data warehousing.
- 3+ years of experience managing engineers or engineering managers.
- Deep expertise in CI/CD, GitOps, and infrastructure as code.
- Demonstrated ability to direct AI coding and infrastructure tools to produce production-grade systems, including architecting desired outcomes, effectively guiding AI tools, and critically reviewing their output.
- Strong understanding of AI-assisted engineering with the judgment to remain fully accountable for the quality, security, reliability, and correctness of resulting systems.
- Experience owning secrets management and associated security and DevOps tooling.
- Experience operating databases and data warehouse infrastructure at scale.
- Proven ability to remain hands-on through coding, architecture reviews, technical problem-solving, and incident response rather than operating solely at a strategic level.
- Strong communication skills and the ability to explain complex technical decisions, risks, and tradeoffs to technical and non-technical stakeholders.
- Experience building or scaling a platform engineering function within a lean, growing technology organization is preferred.
- Familiarity with Snowflake or other modern data warehouse technologies is preferred.
- Experience with observability platforms such as Datadog or Grafana is a plus.
- Background in regulated or compliance-focused environments, including exposure to SOC 2, is advantageous.
- Experience partnering with dedicated Security or IT teams is preferred.
Conditions
- Base salary range of $185,940–$227,260 USD.
- Eligibility for bonus and equity compensation.
- Medical, dental, and vision insurance.
- 401(k) with company match.
- Generous paid time off.
- 12 weeks of paid family bonding leave.
- Health Savings Account (HSA).
- Short-term and long-term disability coverage.
- Supplemental life and AD&D insurance.
- Critical illness, injury, and hospital insurance.
- Opportunity to work in a highly collaborative environment focused on building strong technical teams and innovative infrastructure.
- Flexibility to work remotely within the United States.
- Opportunity to combine senior technical leadership with hands-on engineering and AI-assisted infrastructure development.