Staff Software Engineer, AI and Data Technology

Position Overview

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Omada Health is on a mission to inspire and engage people in lifelong health, one step at a time.

The Staff Software Engineer for AI and Data Technologies will play a critical role in advancing our platform and enablement capabilities for analytics, data science, and AI initiatives. This role is focused on designing and building scalable, efficient, and robust platforms and architectures to support analytics, machine learning, and data-driven decision-making across the organization. While the role is not responsible for executing analyses, building machine learning models, or performing data transformations, it is instrumental in creating the technological foundation that empowers these functions.

Key Responsibilities

• Strategic Platform Leadership: Drive the design, development, and deployment of scalable AI and data platforms. Focus on building and maintaining reliable infrastructure for analytics and AI/ML workloads, leveraging best practices in MLOps/LLMOps, automation, and cloud-native technologies to support Omada’s business needs.
• Enterprise Data & AI Architecture: Architect and implement robust, secure, and high-performance systems for data ingestion, storage, processing, and model lifecycle management. Ensure platforms are optimized for scalability, reliability, monitoring, and future-proofing, with a strong emphasis on automation.
• Cross-Functional Enablement: Collaborate with analytics, data science, and machine learning teams to anticipate challenges, align on requirements, and ensure platforms enable data-driven decision-making across the organization.
• Technology Vision and Optimization: Evaluate, adopt, and integrate state-of-the-art tools, frameworks, and technologies to optimize platform performance, scalability, and cost-efficiency while setting the technical vision for data ecosystems.
• Mentorship and Technical Excellence: Provide leadership and mentorship to engineers across teams, fostering skill development in AI and data enablement, while promoting a culture of innovation, collaboration, and engineering excellence.
• Governance and Best Practices: Establish and enforce best practices for platform engineering, including data security, privacy, compliance, and governance standards. Drive continuous improvement in deployment strategies, monitoring, and incident response processes.

About You

• You are a visionary engineer and trusted advisor with expertise in modern data technologies.
• You enjoy tackling ambiguous, high-impact problems and proactively influencing technical and strategic decisions.
• Your ability to mentor others, communicate effectively, and lead complex projects sets you apart.

Requirements

• 8+ years of experience in software engineering, with a focus on building platforms for analytics, data science, and AI.
• Strong programming skills in languages such as Python, Java, Scala, or similar.
• Experience with AI-specific infrastructure, including model serving (e.g., TensorFlow Serving, NVIDIA Triton), feature stores (e.g., Feast, Hopsworks), and experimentation platforms (e.g., MLflow, Kubeflow).
• Expertise in designing and implementing data architectures, including data lakes, warehouses, and real-time processing systems.
• Experience with cloud-based data and AI platforms (e.g., AWS, Azure, GCP) and associated tools.
• Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch) and their integration into production environments.
• Knowledge of distributed computing technologies (e.g., Spark, Kubernetes) and their applications in data engineering and AI.
• Knowledge of MLOps/LLMOps practices and tools for managing AI and data pipelines.
• Demonstrated ability to lead technical projects from concept to delivery.
• Excellent problem-solving skills and ability to navigate complex technical challenges.
• Strong collaboration and communication skills to work effectively with cross-functional teams.

Bonus Points for:

• Familiari