Top Tech Jobs & Startup Jobs in Los Angeles, CA

Design, deploy, and optimize cloud-native ML systems on AWS, integrate foundation models (Bedrock/Anthropic), build and monitor SageMaker pipelines and data pipelines, detect drift, extend ML infra and libraries, and collaborate cross-functionally to deliver secure, cost-efficient production ML services.

Design, implement, and maintain Java-based applications to automate complex data reconciliation across relational and NoSQL sources. Build matching algorithms, integrate with rules engines (Drools), handle data streams, perform gap analysis, and collaborate with analysts and architects to ensure data quality.

Design user flows, wireframes, prototypes, and high-fidelity UI for web and mobile. Support UX strategy, collaborate with researchers, PMs, developers, and maintain the design system while advocating accessibility and usability.

Design and govern enterprise data architectures within the Informatica ecosystem. Lead data modeling, ETL/integration using Informatica tools, enforce data quality and governance, optimize performance, manage metadata and lineage, collaborate with stakeholders, document solutions, and train teams.

Analyze capital markets business processes, systems, and trading data. Gather and document stakeholder requirements for new initiatives and system enhancements. Identify opportunities and risks from market and regulatory changes. Support trading platform and OMS-related work.

Design, implement, and maintain Java-based data reconciliation solutions for financial systems. Build matching algorithms, integrate with rules engines (Drools), handle diverse data sources (relational, NoSQL, streams), collaborate with analysts, and improve data quality and governance.

Design, implement, test, deploy, and support high-performance Java applications across the full SDLC. Build REST APIs using Spring/Hibernate, apply multithreading and OOP principles, work with Oracle PL/SQL, and collaborate in an Agile, distributed team while communicating with business users.

Design, train, evaluate, scale, and deploy generative AI models (LLMs, text-to-image). Run experiments on large datasets, monitor model performance, troubleshoot, collaborate with stakeholders, and translate technical results into business outcomes.

Architect and develop scalable enterprise Java/J2EE applications and microservices. Provide technical leadership, design integrations, optimize performance, collaborate with stakeholders, and ensure best practices across development teams.

Lead mobile product strategy and roadmap for iOS, Android, and React apps. Prioritize backlog, coordinate with UX/design and engineering, launch features, analyze market trends (retail/e-commerce), and use product metrics to drive continuous improvement.