About the Role

As a Principal Software Engineer, you'll lead architectural decisions, write code, and solve complex technical problems while driving collaboration across teams to ensure successful outcomes. You'll be a mentor and thought leader, flexing between hands-on coding and high-level strategic leadership. Crucially, you will spearhead our AI transformation, driving the integration of artificial intelligence into our product features and revolutionizing our engineering workflows. If you're passionate about setting technical standards, championing AI innovation, solving challenging problems, and shaping the future of software, this is your chance to make a significant impact.

Your Area of Focus

• Drive AI Transformation: Lead the strategy and execution of integrating AI capabilities into our core product, while adopting AI tools to accelerate internal team workflows and the software development lifecycle (SDLC).
• Establish Expertise: Develop deep product, technology, and AI ecosystem knowledge.
• Architect & Build: Lead architecture and write code for complex, highly scalable systems and AI-driven features.
• Problem Solving: Creatively solve complex problems with a focus on delivering value to our customers.
• Cross-Functional Collaboration: Partner across multiple teams to drive successful outcomes and champion AI adoption.
• Technical Governance: Actively review architecture and technical approaches, ensuring organizational alignment and future-proof AI strategies.
• Mentorship: Provide tangible and actionable technical feedback to engineers, actively upskilling the team on modern AI engineering practices.

Your Professional Qualifications

• Experience: 12+ years of software engineering experience with 8+ years of technical leadership experience.
• AI Leadership: Proven track record of leading AI initiatives, integrating LLMs/Generative AI into commercial products, and optimizing developer workflows using AI tooling (e.g., GitHub Copilot, Cursor, etc.).
• Languages: Python, Java, JavaScript.
• Frameworks: Vue, React, Flask, SpringBoot (Experience with AI orchestration frameworks like LangChain or LlamaIndex is a strong plus).
• Databases: MySQL, Oracle, Postgres, DynamoDB, Firestore (Familiarity with Vector Databases is highly desirable).
• Cloud: AWS, GCP.
• Adaptability: Flex time spent coding from 10% to 90% as needed by team(s).
• Drive: Tenacity and creativity to solve difficult problems with a focus on our customers, coupled with a desire to blaze the trail on less-glorious engineering tasks that are important to the business.
• Influence: Strong technical mentor and sounding board for teams. Technical acumen and collaborative spirit that garners respect from engineering team members and leaders.
• Continuous Improvement: Continually identify opportunities to improve software and processes (especially via AI) and propose concrete plans to leadership.
• Standard Setting: Leader in establishing best practices and standards for the engineering organization.
• Communication: Communicate complex technical and AI-related information in a clear and concise manner to a variety of audiences.
• Evaluation: Ability to perform deep technical assessments of existing and potential new technologies, particularly in the rapidly evolving AI landscape.

 (For Recruiter use only) #LI-SS1 #LI-Remote

About the Role

As a Senior Data Engineer focused on AI/ML, you'll architect, build, and operate the specialized data infrastructure that powers Tebra’s intelligent features. You will serve as a technical subject matter expert in data systems, partnering closely with Machine Learning Engineers to transform raw, messy healthcare data into high-quality training sets and real-time inference features.

This is a hands-on role where you will own large data sub-systems, translating business requirements into software solutions that accelerate our ability to deploy AI. You’ll tackle technical challenges head-on—from data versioning to feature serving—ensuring our ML models are fed by reliable, scalable, and performant pipelines.

Your Area of Focus

• Architect and write software that solves complex business problems, specifically designing scalable pipelines for feature extraction, training data generation, and model monitoring logs.
• Own and serve as a Subject Matter Expert (SME) for large software systems, such as the organization's Feature Store or Data Lakehouse, ensuring data availability for both experimentation and production inference.
• Continuously monitor data pipelines in production, detect data drift or quality anomalies, and implement automated recovery systems to ensure the reliability and freshness of features and training data over time.
• Lead Engineering Design Reviews, providing well-articulated and reasoned explanations for architecture decisions (e.g., choosing between batch processing for training vs. real-time streaming for inference).
• Write software frameworks that can be extended by others on the team, such as automated data quality checks and schema validation tools that prevent training-serving skew.
• Translate business requirements into software solutions, bridging the gap between raw data sources and the structured inputs needed for advanced ML models.
• Know when and how to optimize complex code, specifically tuning Spark jobs or SQL queries to handle massive datasets required for Large Language Model (LLM) fine-tuning or deep learning.
• Collaborate cross-functionally including ML engineers to implement MLOps best practices, including data versioning, lineage tracking, and reproducibility.
• Expert at scoping tasks, breaking down complex data infrastructure initiatives into manageable deliverables for the squad.

Your Professional Qualifications

• 5+ years of professional software development experience.
• Deep technical subject matter expertise in 3+ general areas of software development (e.g., Big Data Processing, Distributed Systems, Data Modeling).
• 3+ years of hands-on experience in Data Engineering with a focus on supporting analytics or data science teams.
• Advanced proficiency in Python and SQL. You are comfortable writing production-grade code for data transformation and orchestration (not just scripts).
• Proven ability to architect and write software that enables ML at scale—moving beyond simple ETL to building robust data platforms.
• Strong background in modern data infrastructure relevant to AI (e.g., Spark, Airflow, Kafka, Vector Databases).
• Experience with Data Lake/Lakehouse architectures (e.g., Databricks, Snowflake, Delta Lake) and understanding how to structure data for efficient model training.
• Familiarity with MLOps concepts: You understand the difference between a training set and a test set, and you know what "data leakage" is and how to prevent it in the pipeline.
• Proven ability to deploy and maintain data systems in production with CI/CD, monitoring, and alerting.
• Excellent technical communication and a product mindset—comfortable driving initiatives from concept to delivery.

Bonus Points

• Background in healthcare software operations or working with structured business data.
• Experience implementing or managing a Feature Store (e.g., Feast, Tecton).
• Familiarity with Data Versioning Control tools (e.g., DVC, LakeFS).
• Published research or conference papers in data engineering, distributed systems, or machine learning.
• Experience with retrieval-augmented generation (RAG) pipelines or vector search infrastructure.
• Contributions to open-source data or ML infrastructure projects.

(For Recruiter use only) #LI-SS1 #LI-Remote

About the Role

As a Staff Software Engineer, Front End, you will take on a critical technical leadership role, tackling meaningful, real-world challenges for healthcare providers. Your primary mission is to lead the architectural direction for our most ambitious, large-scale UI initiatives. We are counting on your expertise to guide this technical transformation, championing a customer-first mindset while making the thoughtful, pragmatic decisions that ensure long-term technical health. Concurrently, you will be a key pioneer in integrating AI into our products, shaping and building the new, intelligent user experiences that will define our next chapter.

Your Area of Focus

• Own a product end-to-end from defining the problem we should solve to meet our OKRs to designing, building, shipping, and operating the solution.
• Act as a key technical partner for Product Management, co-owning the roadmap, identifying key risks, and surfacing new engineering-led opportunities.
• Rapidly form hypotheses based on data and iterate quickly to find tactics that deliver the biggest impact. Rinse and repeat.
• Focus on what’s right, not who. Solicit feedback, learn, teach, and give candid feedback to grow and improve together. Continuously.
• Architect & code frameworks that can be leveraged by the team.
• Invest in technical foundations to accelerate our shipping rhythm. Ship products worthy of recognition.
• Champion the integration of AI tools (like coding assistants) into our daily development lifecycle to boost team velocity, improve code quality, and streamline testing.

Your Professional Qualifications

• 8+ years of software development experience including building production-grade web applications using  React, Vue, Angular, or Material UI.
• Mastery in utilizing REST/GraphQL APIs efficiently, influencing the shape of APIs where necessary.
• In-depth knowledge of JavaScript/TypeScript, CSS, NodeJS, and the tooling ecosystem (NPM, Yarn, Babel, Jest, Cypress) to the extent you can describe its limitations and tradeoffs.
• Deep understanding of the tradeoffs between static generation, server-side rendering, and client-side rendering.
• Exceptional level of engineering fundamentals including a strong grasp of data structures, caching strategies, and asynchronous programming (promises, futures, callbacks).
• Understanding and experience with monorepo environments and microfrontend architecture.
• Led and shipped large-scale projects from conception to production including post-launch support involving multiple teams.
• Have development experience working with LLMs, AI-driven UX, or agentic workflows.
• Desire to blaze the trail on less-glorious engineering tasks that are important to the business.
• Constructively dissatisfied with the status quo.
• Comfortable working on problems that do not have well defined requirements.
• Experience building and mentoring software engineering teams.
• Can drive difficult engineering discussions with the team and present a menu of options to management.
• Able to communicate effectively with both technical and non-technical audiences.
• Ability to partner with product management to develop requirements.
• Well versed at recognizing project risks and opportunities.
• Able to make build vs. buy software decisions.
• Able to look beyond software best practices to make tough technical decisions that are tailored to business needs.
• Familiarity with query and analytical tools such as SQL, Google Analytics and FullStory.

 (For Recruiter use only) #LI-SS1 #LI-Remote