• Own the design, implementation, and operation of shared Resource Plane services used across the organization • Operate and evolve Kafka, RabbitMQ, Redis, and Elasticsearch platforms in production • Apply SRE principles to ensure availability, scalability, reliability, and safe upgrades of stateful systems • Build and maintain Infrastructure-as-Code and GitOps-based automation for provisioning and lifecycle management • Define and enforce supported usage patterns, guardrails, and golden paths for platform consumers • Integrate Resource Plane services into the Internal Developer Platform for self-service consumption • Participate in on-call rotation (initially may include 24x7 weekly rotation; target state is business-hours primary) • Lead incident response, root cause analysis, and reliability improvements for owned services • Collaborate closely with Kubernetes Platform Team, IDP and other teams as required • Act as a senior technical voice in architecture discussions and platform roadmap planning

• Build foundational pieces of the AI Platform alongside the Staff Engineer, the VP, and the rest of the team. • Ship the platform components that teams will rely on, from MCP servers and agent runtime patterns to identity and policy enforcement, eval gates, and observability instrumentation, depending on where the team needs you. • Pair with the first vertical teams onboarding agents through the platform. The platform is only as good as the experience of the people consuming it. • Mentor a mid-level engineer; raise the technical bar through code review and pair programming. • Carry the pager. Operate what you build.

• Help shape the AI Platform's core architecture alongside the VP of AI Platform Engineering and a small group of senior engineers. • Establish the platform's technical contracts. • Set the technical bar for the team, review the work that ships, and mentor engineers. • Design how the AI Platform interlocks with the rest of engineering. • Carry the pager and operate what you build.

Role Description The Lead Platform Engineer will be responsible for the systems, tooling, and workflows that define how our engineers build, test, and ship software. This role drives foundational platform improvements—from monorepo architecture and modern C++ build pipelines to AI-assisted developer tooling and cloud infrastructure. The role will lead major infrastructure initiatives including the modernization of our build environment and toolchain and management of source control and cloud infrastructure. The role will partner closely with engineering teams to ensure platform changes reduce friction, maintain build performance, and equip engineers to move fast on complex scientific software and requires working fluency across the scripting and tooling languages used throughout our stack. Job Responsibilities - Build System Modernization - Lead the design and implementation of a monorepo strategy, resolving cross-repository dependency management across a portfolio of scientific C++ libraries. - Own CMake build system architecture, ensuring reproducibility, incremental correctness, and performance through platform transitions. - Evaluate and evolve C++ package management (vcpkg or equivalent) to fit the target monorepo model. - Prototype and benchmark build configurations on target hardware to make data-driven toolchain recommendations. - Developer Environment and Tooling - Own the infrastructure engineering and evolution of an AI-assisted developer IDE, including model gateway architecture, agent integrations, and developer workflow enhancements. - Evaluate and integrate AI model platforms (AWS Bedrock, GitHub Copilot, and others) into developer tooling via abstraction layers that allow model substitution without client-side changes. - Define and maintain developer environment standards, onboarding automation, and configuration-as-code practices. - Cross-Team Technical Leadership - Serve as the primary technical decision-maker for developer platform infrastructure, communicating trade-offs clearly to engineering teams and senior stakeholders. - Partner with engineering leads to understand domain-specific build requirements for computationally intensive scientific software and factor them into platform decisions. - Coordinate infrastructure rollouts across teams, managing dependencies, sequencing, and risk mitigation. - Architecture and Technical Design - Design and document platform architecture for build systems, developer tooling, and AI model integration. - Establish baselines and success metrics for platform initiatives (build time, cache hit rate, onboarding time). - Identify and mitigate technical risks in infrastructure transitions before they affect engineering productivity. - Evaluate emerging developer productivity tools and make evidence-based adoption recommendations. - Infrastructure as Code and Source Control - Own and administer the organization’s GitHub presence, including repository structure, branch protection, access controls, and org-level policy enforcement. - Design and maintain GitHub Actions CI/CD workflows, including reusable workflows, composite actions, and self-hosted runner infrastructure integrated with build caching. - Manage infrastructure via Terraform, including module library, remote state, and drift detection. - Establish branching strategies, release workflows, and code review policies that scale across teams. - Quality, Observability, and Security - Instrument build and tooling pipelines with metrics, logs, and alerts to detect regressions and measure improvements. - Ensure platform infrastructure meets security and compliance requirements, including credential and secrets management for cloud and AI services. - Maintain documentation and runbooks for all platform systems. - Other Duties as Assigned Qualifications - 6+ years of software engineering or platform/infrastructure engineering experience focused on developer productivity or build systems. - Hands-on experience with build systems, including incremental builds, dependency management, and toolchain configuration. - Experience modernizing legacy build tooling and replacing distributed compilation systems with modern caching alternatives (sccache, ccache, or similar). - Experience with monorepo architecture and the trade-offs versus multi-repo approaches. - Familiarity with C++ package management systems such as vcpkg or Conan. - Working proficiency in Python and Node.js for build tooling, automation, and platform scripting. - Experience managing developer environment infrastructure, including endpoint provisioning, environment configuration, and onboarding automation. - Hands-on GitHub organization administration, including repository management, access control (teams, SSO/SAML), and policy enforcement. - Strong proficiency with GitHub Actions, including reusable workflows, composite actions, and self-hosted runner management. - Production Terraform experience, including module design, remote state management, and cloud provider integration. - Working knowledge of at least one major cloud platform (AWS, Azure, or GCP), particularly compute and storage services used in CI/CD. - Track record of leading multi-team infrastructure initiatives with clear ownership and delivery. - Ability to articulate technical trade-offs to non-technical stakeholders and build alignment before large migrations. - Strong written communication skills for architecture decision records, technical documentation, and cross-team coordination. Preferred Qualifications - Experience in pharmaceutical, biotechnology, life sciences, or scientific computing software environments. - Familiarity with simulation or modeling software that involves computationally intensive C++ codebases. - Understanding of software development in regulated industries and the quality standards that apply. - Experience with Bazel, Buck2, or other build systems suited to monorepo incremental builds. - Familiarity with R and its use in scientific computing or data analysis workflows. - Familiarity with LLM observability tooling (e.g., Langfuse, Helicone, Arize, or CloudWatch LLM metrics). - Experience with agile development methodologies and working within a structured engineering organization. - Familiarity with inner-source or platform-team models of developer tooling ownership. - Understanding of security best practices for developer infrastructure, including secrets management and least-privilege access patterns. Education - Bachelor’s degree in computer science, software engineering, or related field preferred. - Masters or PhD in computer science, software engineering, or related field a plus. - Certifications in cloud platforms or build systems preferred.