Staff Software Engineer

Summary

Join Omada Health as a Staff Software Engineer for AI and Data Technologies and play a critical role in advancing our platform and enablement capabilities for analytics, data science, and AI initiatives. Design and build scalable, efficient, and robust platforms and architectures to support analytics, machine learning, and data-driven decision-making. Lead the design, development, and deployment of scalable AI and data platforms, focusing on reliable infrastructure for analytics and AI/ML workloads. Architect and implement robust systems for data ingestion, storage, processing, and model lifecycle management. Collaborate with analytics, data science, and machine learning teams to ensure platforms enable data-driven decision-making. Evaluate, adopt, and integrate state-of-the-art tools and technologies to optimize platform performance. Provide leadership and mentorship to engineers, fostering skill development in AI and data enablement. Establish and enforce best practices for platform engineering, including data security and governance standards.

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

Responsibilities

• 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
• 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
• 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
• 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
• 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
• 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

Preferred Qualifications

• Familiarity with data governance and compliance frameworks (e.g., GDPR, HIPAA)
• Knowledge of BI and reporting tools (e.g., Tableau, Power BI, Looker) and their integration with data platforms

Benefits

• Competitive salary with generous annual cash bonus
• Stock options
• Remote first work from home culture
• Flexible vacation to help you rest, recharge, and connect with loved ones
• Generous parental leave
• Health, dental, and vision insurance (and above market employer contributions)
• 401k retirement savings plan
• Lifestyle Spending Account (LSA)
• Mental Health Support Solutions