Manager Software Engineering – Java, React, AWS
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
Primary Responsibilities:
- Leadership & Strategy
- Lead and mentor cross-functional teams focused on AI/ML incubation and engineering enablement
- Define and drive the strategic roadmap for innovation initiatives and technical enablement
- Foster a culture of experimentation, rapid iteration, and continuous learning
- Lead and mentor cross-functional teams focused on AI/ML incubation and engineering enablement
- Incubation & Innovation
- Identify, evaluate, and incubate high-impact AI/ML ideas aligned with business goals
- Oversee the development of proof-of-concepts (PoCs) and prototypes to validate new technologies and approaches
- Collaborate with product, research, and business stakeholders to prioritize and refine ideas
- Identify, evaluate, and incubate high-impact AI/ML ideas aligned with business goals
- Engineering Enablement
- Build and scale internal platforms, tools, and frameworks to accelerate AI/ML development
- Establish best practices, coding standards, and reusable components for AI/ML engineering
- Provide technical guidance and support to engineering teams adopting AI/ML technologies
- Build and scale internal platforms, tools, and frameworks to accelerate AI/ML development
- Collaboration & Communication
- Act as a bridge between research, engineering, and product teams to ensure alignment and knowledge transfer
- Present technical concepts and project outcomes to executive leadership and stakeholders
- Promote knowledge sharing through documentation, workshops, and internal communities of practice
- Act as a bridge between research, engineering, and product teams to ensure alignment and knowledge transfer
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Required Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
- 10+ years of experience in software engineering with 3+ years in management
- Experience in React, JavaScript, TypeScript, Node.js, React Native, Java, Python, and Spring Boot Frameworks
- Experience in Data Management of RDBMS and NoSQL
- Experience in building/managing CI/CD pipelines of Jenkins, Github Actions etc.
- Proven experience in AI/ML technologies, including model development, deployment, and MLOps
- Solid understanding of cloud platforms (e.g. Azure, GCP) with hands-on experience on AWS and Terraforms
- Proven excellent communication, collaboration, and organizational skills
Preferred Qualifications:
- Experience with LLMs, generative AI, or reinforcement learning
- Experience with agile methodologies and startup-like environments
- Familiarity with open-source AI/ML tools and frameworks (e.g., TensorFlow, PyTorch, MLflow)
- Knowledge of Machine Learning Algorithms: Supervised, unsupervised, reinforcement learning
- Knowledge of Model Evaluation: Precision, recall, F1-score, ROC-AUC
- Knowledge of Data Preprocessing: Feature engineering, normalization, handling missing data
- Knowledge of Responsible AI: Fairness, explainability (XAI), bias mitigation
- Knowledge of AutoML: Hyperparameter tuning, model selection automation
- Knowledge of Federated Learning & Edge AI: For privacy-preserving and low-latency applications
- Deep Learning: CNNs, RNNs, Transformers, GANs
- Background in innovation labs, R&D, or technical incubation environments
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes – an enterprise priority reflected in our mission.
Información adicional sobre la vacante
Número de la requisición 2292740
Segmento de negocio Optum
Disponibilidad para viajar No
País IN
Estado de horas extras Exempt
Vacante de teletrabajo No