Software Engineer, Internal Applications - Enterprise

OpenAI OpenAI · AI Frontier · San Francisco, CA · IT

Software Engineer focused on enhancing internal employee technology services through automation, Infrastructure-as-Code (IaC), and developing workforce tooling. This role involves leveraging OpenAI's models to optimize IAM systems, build internal applications and dashboards, and streamline workflows with tools like Slack bots and integrations. The position emphasizes building secure, scalable, and resilient systems using modern IaC methodologies and CI/CD pipelines across cloud platforms (Azure, AWS, GCP).

What you'd actually do

  1. Design, build, implement, and maintain secure, scalable, and performant workforce technology infrastructure, automation workflows, and bespoke tooling that improves the OpenAI employee experience.
  2. Deliver critical IT efficiencies and automation through both bespoke software development and first-party tooling to enhance technology service delivery.
  3. Employ modern Infrastructure-as-Code (IaC) methodologies, developing GitOps-driven solutions to manage technology workflows at scale.
  4. Build and maintain CI/CD pipelines for corporate infrastructure, deploying to progressively tested environments across multiple clouds (Azure, AWS, GCP).
  5. Create scalable internal tools and dashboards to optimize workflows and improve visibility into engineering operations.

Skills

Required

  • Python
  • Cloud platforms (Azure, AWS, GCP)
  • Infrastructure management
  • Infrastructure-as-Code (IaC)
  • GitOps workflows
  • CI/CD pipelines
  • DevOps workflows
  • Internal tools development
  • Automation solutions
  • Slack bots
  • Role-based access controls (RBAC)
  • Security principles
  • Enterprise technology services
  • Workflow optimization
  • Stakeholder management
  • Cross-functional collaboration
  • Analytical skills
  • Problem-solving skills

Nice to have

  • React
  • Typescript
  • Docker
  • Kubernetes
  • SOC 2
  • ISO 27001
  • FedRAMP
  • NIST

What the JD emphasized

  • Proficiency in a modern programming language, ideally Python.
  • Strong knowledge of and experience with cloud platforms (Azure, AWS, GCP) and infrastructure management.
  • Deep knowledge and experience managing corporate infrastructure at scale with Infrastructure-as-Code (IaC) practices & GitOps workflows (Terraform, Ansible, Chef, etc.) as well as cloud automation best practices.
  • Experience integrating corporate infrastructure with CI/CD pipelines and DevOps workflows.
  • Proven track record of developing and maintaining internal tools to streamline corporate technology and business processes.
  • Demonstrated experience developing internal automation solutions, such as Slack bots and integrations.
  • Strong understanding of role-based access controls (RBAC) and security principles.
  • Experience working with enterprise technology services and optimizing workflows at scale.