• Apply Lessons Learned From Domain Leaders: Bring practical, everyday lessons learned and experiences from other areas, domains and professions to this problem space. • Engineer Semantic Services: Co-design and build the Service-Oriented Architecture (SOA) components responsible for the lifecycle of semantic data. Your software enables ingestion, abstraction, curation, and publication, versioning, governance & distribution of semantic resources—encompassing formal biomedical ontologies, standard terminologies, and reference lists—integrating them directly into data-in-flight services. • Data Engineering for Continuous Modeling: Develop and deploy ETL pipelines that lift instance-level data into formal vocabularies. You will ensure these pipelines capture the nuanced aspects of the model, including complex relationships, properties, and constraints. • Living Ontology Development: Build services that project formal semantic meaning across the Tetra ecosystem, helping to formalize a "living," real-world ontology that evolves with our data and its usage. • Partner as a Force Multiplier: Collaborate with Scientific Data Engineers, Architects, and Business Leads to integrate semantic artifacts technically. You will provide subject matter expertise, coaching, and training on the governance of controlled vocabularies, ensuring formal semantics and structure are applied consistently across platform applications. • Vocabulary Management: Develop software enabling management of the full lifecycle of our formal vocabularies. You will implement robust systems for versioning, deprecating, and migrating vocabularies across our customer base to ensure seamless operations. • Engineering Mentorship: Serve as the "Informatics SME" for the engineering organization. You will partner with and mentor technical team members—ranging from pure software engineers to scientists—on how to leverage semantic artifacts to provide data with formal definitions, meaning, and context. • Data Exchange Standards: Co-design the "handshake" protocols for data exchange between platform components. You will iteratively develop these standards to ensure that data leaving one system is deterministically understood by another, handling the complex mapping and transformation logic required for true syntactic and semantic interoperability.

• Perform engineering design support within a team environment • Work with other disciplines, project/product stakeholders, partner organizations and suppliers • Develop and maintain models of nuclear plant design and operational capabilities • Analyze regulatory-driven requirements to develop risk-informed solutions • Provide insights and conclusions from analyses with clear communication to peers, management and customers

• Build a scalable web data acquisition platform used across teams. Enable not just your team but other teams to ingest data more safely and efficiently. • Make tradeoffs between costs, reliability and performance in key architecture decisions. • Create shared abstractions and tooling that make it easy to add, maintain, and operate scrapers in production. • Own system reliability, including smart retries, backoff strategies, error handling, and failure recovery. Continuously improve resilience, correctness and maintainability of scraping and data ingestion infrastructure. • Build observability into data pipelines through logging, metrics, and alerting. Monitor data quality. Improve and scale end-to-end data pipelines. • Collaborate cross-functionally to support new data sources and evolving product requirements.

Role Description Lyrebird is scaling fast, and our Forward Deployed Engineer is how we get complex enterprise integrations across the line. You'll own the technical relationship with hospitals, health systems, and large clinical groups, building the integrations and custom solutions that turn enterprise conversations into signed contracts and live deployments. Most of what you ship will land in the core platform, so your work has lasting impact well beyond any individual deal. This role suits a developer who thrives outside a purely product-focused environment, someone energised by variety, comfortable switching between a pre-sales call and a pull request, and who takes pride in making complex things feel simple for customers. You're as comfortable whiteboarding an architecture as writing the code that implements it. Qualifications - Strong TypeScript and JavaScript skills, with experience building and consuming REST APIs - Experience designing secure integrations, including OAuth, token-based auth, and regulated environments - Comfort across the full delivery cycle, from prototyping through to production - Ability to communicate technical concepts clearly to both engineering and non-technical stakeholders Requirements - Experience with healthcare data standards such as HL7, FHIR, or MLLP - Familiarity with C#, PHP, or Java - Prior experience in a customer-facing or forward-deployed engineering role Benefits - The code you write will help clinicians spend less time on documentation and more time with patients, something you'll see reflected in the feedback we get every day. - We're building a team that reflects the diversity of the people who benefit from our work. - We want Lyrebird to be a place where everyone feels safe, supported, and able to thrive. - If you're from an underrepresented background in tech, we strongly encourage you to apply, even if you don't meet every requirement. - We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. - These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. - If you would like more information about how your data is processed, please contact us.