Top Tech Jobs & Startup Jobs in Los Angeles, CA

The Software Engineering Manager will lead Agile teams, oversee technical design, ensure project delivery, and drive an AI-first culture.

Lead multiple Agile teams to deliver high-quality software solutions, focusing on technical design, project execution, and alignment with business goals.

The Project Manager will lead EHR implementation projects, manage client relationships, oversee project scopes, budgets, and ensure successful transitions to PointClickCare's solutions.

As a Principal Software Data Engineer, you'll lead the design, development, and optimization of large-scale data platforms and pipelines, ensuring data governance and driving innovation in a collaborative environment.

As a Senior Application Engineer, you will develop AI agents using Salesforce Agentforce, create automations, and troubleshoot complex issues while collaborating with teams and mentoring junior engineers.

Lead end-to-end delivery of complex projects and embedded workstreams within enterprise transformation programs. Serve as primary client liaison, manage scope/budget/timeline, coordinate vendors and stakeholders, drive risk and change management, integrate OCM, and improve PMO capabilities using data and AI-enabled insights.

The Senior Software Engineer will develop and maintain big data applications, focusing on distributed computing, automation, and collaboration with teams to enhance healthcare solutions.

The Principal Software Engineer will lead AI systems development and mentor teams, driving AI adoption and ensuring compliance with healthcare regulations.

Design, develop, and implement enterprise Master Data Management solutions (preferably IBM MDM). Perform data profiling, write complex queries and procedures, troubleshoot incidents, collaborate with stakeholders, estimate efforts for RFPs, mentor junior staff, and support cloud migrations (AWS/Azure).

Design and implement database-driven, AI-enabled workflows using Microsoft Azure to automate data transformation, validation, and configuration. Integrate LLM services and RAG patterns, ensure production readiness with logging, monitoring, CI/CD, and data contracts, and collaborate with solution architects and cross-functional teams to scale repeatable automation across a healthcare SaaS platform.