Top Tech Jobs & Startup Jobs in Los Angeles, CA

Build, deploy, and operate production machine learning and decisioning pipelines for Humana’s Decision Intelligence Platform. Responsibilities include MLOps, feature engineering, scoring workflows, monitoring, optimization-aware decisioning, reinforcement learning, simulation, constrained optimization, and large-scale data processing. The role partners with engineering and product teams to deliver reliable, scalable, auditable systems while addressing clinical eligibility, operational constraints, policy failure modes, and regulated-domain requirements.

Leads enterprise Kubernetes architecture, engineering standards, lifecycle strategy, and operational excellence across AKS and GKE. Designs resilient multi-cluster and multi-region platforms; drives Infrastructure as Code, GitOps, CI/CD, automation, observability, security, capacity planning, and cost optimization. Partners with cloud, security, network, SRE, DevOps, and application teams, resolves complex production issues, establishes governance and lifecycle support models, mentors engineers, and guides platform adoption and roadmap execution.

Develop, test, deploy, and maintain secure front-end and back-end applications supporting cybersecurity and identity access management initiatives. Participate in the full software development lifecycle, troubleshoot issues, perform code reviews, document solutions, and collaborate with cross-functional teams in an Agile environment. The role contributes to scalable software solutions and continuous improvement while supporting production applications.

Senior Data Manager acquires, validates, integrates, protects, and manages enterprise data throughout its lifecycle. The role develops ETL solutions, data architectures, models, stored procedures, reporting datasets, and visualizations using Databricks, SQL, and cloud technologies. Responsibilities include translating business needs into technical requirements, leading data projects through deployment, analyzing complex data, improving processes, and supporting business decisions through accessible insights.

Leads enterprise Workday Compensation strategy, design, configuration, testing, implementation, optimization, and support. Serves as the subject matter expert for compensation planning, incentives, eligibility, salary structures, market adjustments, payments, and statements. Partners with HR, Compensation, Finance, Payroll, and Technology stakeholders, translates business requirements into scalable solutions, leads governance and release activities, troubleshoots production issues, advises senior leaders, and mentors configuration professionals.

Leads strategic sales and operational initiatives from planning through execution. Develops project plans, roadmaps, KPIs, risk logs, and executive reporting while identifying process gaps and improving call center and sales operations. Partners cross-functionally with Operations, Sales, Marketing, Finance, Technology, and external stakeholders to drive business transformation, operational readiness, efficiency, and measurable outcomes. Provides executive recommendations, manages competing priorities, and resolves complex operational issues.

Develops business intelligence solutions using data from diverse sources to deliver insights, visualizations, process automations, and decision support. The role analyzes complex business opportunities, integrates and refines organizational data, presents findings to senior leaders, and recommends technical approaches with minimal direction. Preferred experience includes SQL, Python, Databricks, Power BI, Power Apps, Power Automate, predictive modeling, and healthcare analytics.

The Senior Product Owner prioritizes and manages product backlogs, defines user stories and acceptance criteria, clarifies requirements, and maximizes product value. The role partners with Product Managers, development teams, Scrum Masters, and stakeholders to validate solutions, manage delivery risks, confirm product quality, and communicate sprint outcomes. It supports multiple Agile teams and translates business priorities into technical requirements while facilitating collaboration across business and IT.

Leads hands-on development of production agentic AI capabilities for Humana’s NBA platform. Designs multi-step AI workflows, integrates LLMs, builds RAG and vector-search systems, develops user-facing AI experiences, and establishes evaluation and reliability frameworks for regulated healthcare use. Leads a small engineering team and contractors, partners with product and frontend teams, and promotes AI-assisted development practices.

Leads development of production-scale machine learning and reinforcement learning systems for Humana’s Next Best Action platform. Designs decision policies, simulations, offline evaluations, and monitoring strategies; builds scalable pipelines using Python, PyTorch, Databricks, PySpark, Ray RLlib, and MLflow. Owns models throughout their lifecycle and provides technical direction on architecture, experimentation, deployment, and constraint-aware decision-making.