• You'll dive into researching, designing, and building the internal platform tools that enable other engineers to seamlessly execute functional and non-functional testing for features of all sizes. • Building and shipping AI-driven tooling solutions for the engineering organization. • Using tools like Claude Code and Cursor to speed up your own platform development and data analysis. • Helping to foster a culture of learning by sharing your knowledge and expertise on AI tooling with the broader engineering organization. • Successfully delivering AI-powered tools that help engineers proactively find functional and performance issues before they happen.

• Design and manage core AWS infrastructure via Terraform and Terragrunt • Build and operate robust Kubernetes, GitOps and observability tooling • Shape how engineering teams ship to production, progressive rollouts, canary deploys and fast, safe rollbacks • Bake security into the SDLC, policy-as-code, OIDC-based cloud access, secret scanning and pre-merge controls, working closely with our Security team • Partner with engineering teams on infrastructure, database and deployment best practices • Provide and continuously improve CI/CD and developer tooling • Share an on-call rotation with the team, supported by the observability and tooling you help build • We make use of AI-assisted tooling (e.g. code generation, debugging, and platform operations). You’re either already comfortable working this way, or excited to adopt it.

• Build, maintain, and continuously improve our Internal Developer Platform to streamline development and deployment. • Design and enhance platform components to ensure reliability, scalability, security, and ease of use. • Provision, monitor, and maintain infrastructure across cloud environments (AWS, Azure, GCP). • Automate infrastructure provisioning, testing, deployment, and configuration through CI/CD and scripting. • Collaborate with software engineers, operations, security, and platform teams to understand needs and deliver effective solutions. • Implement and maintain security best practices, including access management, encryption, and compliance. • Ensure monitoring and observability, providing teams with logs, metrics, and troubleshooting tools. • Create and maintain clear documentation for platform tools, processes, and standards. • Support incident resolution related to platform functionality. • Continuously explore new technologies and improvements to reduce technical debt and enhance the developer experience.

• Own and evolve the core platform repository — the central Python package implementing our modular agent architecture across orchestration, tools, state, retrieval, configuration, and extensibility layers. • Design and maintain customer configuration schemas including versioning metadata, lineage tracking, and component provenance fields aligned with our IP strategy. • Implement backward-compatible schema extensions and ensure all active customer deployments upgrade without breaking changes. • Enforce schema validation at all node inputs/outputs to prevent data drift across multi-tenant environments. • Build and maintain cross-client isolation across customer configuration, persistent state, and RAG pipelines.