• Design and develop integration platform infrastructure - adapter layer APIs, event-driven systems, workflow orchestration engines. • Lead technical decision-making on integration architecture patterns and API design. • Build full-stack capabilities across backend integration services and frontend interfaces. • Collaborate across Product, Sales, Tech Services, and Engineering teams to understand integration requirements. • Own feature delivery from conception through production deployment. • Debug and resolve complex integration issues: OAuth flows, webhook delivery failures, rate limiting scenarios. • Establish technical standards and best practices for integration development through code review. • Improve development workflows: CI/CD pipelines, testing strategies for third-party API interactions.

• Architect a full-stack Search Platform across all layers of indexing and scoring, query understanding, rewriting and federation, and extensible search experiences. • Continuously improve search quality through evaluation metrics such as precision@K, recall@K, MRR, and relevance testing with real scientific use cases. • Engineer sophisticated hybrid search pipelines that blend sparse (keyword), structured (metadata), and dense (vector) retrieval. You will go beyond out-of-the-box OpenSearch to design custom ranking logic, reciprocal rank fusion, and relevance tuning that surfaces the exact "needle in the haystack" for drug discovery. • Lead by example and write code, review designs, and set the standard for engineering quality on the Search Platform team. Mentor engineers and help grow the team's search and distributed systems expertise. • Contribute to architectural decisions, technical strategy, and platform-wide improvements to accelerate scientific insight generation. • Own and operate the Search Platform infrastructure, ensuring high availability, scalability, performance, and observability across indexing, embedding generation, and query execution. • Develop and maintain backend services and APIs in Python and TypeScript that power search capabilities for scientists, data engineers, and AI applications. • Ensure security, compliance, and tenant isolation as part of operating search services in enterprise bio-pharma environments. • Collaborate with Applied AI Scientists to integrate embeddings, transformer models, and chemical fingerprints into production search workflows. • Architect and implement scientific entity resolution and knowledge graph pipelines to transform raw text into interconnected knowledge. You will design systems that extract and link chemical and biological entities (NER/NED) from unstructured documents, enabling the search engine to "understand" relationships between compounds, targets, and assays.

• Build Enterprise-Scale Infrastructure • Leverage infrastructure-as-code to manage complex cloud environments supporting critical ML and AI initiatives. • Design Kubernetes-native systems, including controllers/operators where appropriate. • Improve platform networking, security, and observability • Sustain Platform Health and Performance • Own critical systems in production, including reliability, scalability, security, and cost efficiency. • Identify and proactively address technical debt, operational risk, and platform bottlenecks. • “Learn by doing” — Quickly ramp up to a complex tech stack (Terraform, Kubernetes, Istio, Crossplane, Go, TypeScript) • Enable Teams and Customers to Move Faster • Create abstractions and tooling that make it easier for teams and customers to deploy, run, and scale AI/ML workloads. • Collaborate directly with customers to understand their ML infrastructure challenges and translate them into platform improvements. • Balance speed and rigor—shipping quickly while maintaining a high bar for quality and safety. • Lead Through Influence • Act as a technical leader and mentor across the engineering organization. • Write clear documentation and design proposals that align stakeholders and drive decisions. • Partner closely with product and leadership to shape platform direction and priorities.

• Implement new features, fix bugs, and enhance the scalability and reliability of our systems. • Develop expertise in distributed systems, cloud platforms, and modern UI frameworks while working on real-world security products. • Work closely with Product Managers, UX designers, and fellow engineers to iteratively improve our products. • Contribute ideas to improve Tenable’s architecture, development processes, and technology stack. • Write clean, maintainable code, participate in code reviews, and help drive engineering best practices.