Senior Software Engineer

Summary

Join Omada Health as a Senior Software Engineer for AI and Data Technologies and play a key role in building and enhancing platform capabilities for analytics, data science, and AI initiatives. Develop scalable, efficient, and robust platforms to support analytics, machine learning, and data-driven decision-making. Collaborate with cross-functional teams to understand requirements and implement solutions. Evaluate, integrate, and optimize modern tools and technologies. Follow and promote best practices for software engineering. Act as a trusted technical contributor and mentor team members. Partner with stakeholders to build and enhance enterprise-grade data and AI infrastructure. This role requires 4-6 years of software engineering experience with a focus on platforms for analytics, data science, and AI.

Requirements

• 4-6 years of experience in software engineering, focusing on platforms for analytics, data science, and AI
• Strong programming skills in languages such as Python, Java, Scala, or similar
• Experience with AI-specific infrastructure, such as model serving (e.g., TensorFlow Serving), feature stores (e.g., Feast), and experimentation platforms (e.g., MLflow)
• Knowledge of 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 systems
• Understanding 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
• Strong problem-solving skills and ability to work on technical challenges
• Effective collaboration and communication skills to work with cross-functional teams

Responsibilities

• Design and develop scalable, secure, and high-performance AI and data platforms to support analytics, data science, and machine learning initiatives
• Collaborate with analytics, data science, and machine learning teams to understand requirements, implement solutions, and support data-driven decision-making across business units
• Evaluate, integrate, and optimize modern tools, frameworks, and technologies to enhance platform performance, scalability, and cost-efficiency
• Follow and promote best practices for software engineering, including coding standards, model testing and evaluation, automated CI/CD pipelines for AI/ML workflows, scalable and reproducible deployment strategies, and strict adherence to data security, privacy regulations, and governance policies specific to operationalizing AI
• Act as a trusted technical contributor to advanced data platform designs, while sharing knowledge and mentoring team members to foster excellence in AI, data engineering, and machine learning
• Partner with stakeholders to build and enhance enterprise-grade data and AI infrastructure, supporting advanced analytics, AI/ML enablement, and evolving Omada’s data ecosystem to meet future needs

Preferred Qualifications

• Familiarity with data governance and compliance frameworks (e.g., GDPR, HIPAA)
• Experience with 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