Top Tech Jobs & Startup Jobs in Los Angeles, CA

Support recruiting operations by posting jobs, tracking candidate status, scheduling and coordinating interviews, collecting feedback, managing onboarding documents and background check results, and improving the candidate experience.

Design and implement large-scale data applications using Java, Spark, and MapReduce within Cloudera/Hadoop ecosystems. Integrate Hive, Impala, YARN, and Kafka, perform data analysis, write tests (JUnit), use scripting, and manage global technology teams following industry best practices.

Design, build, and maintain GCP cloud infrastructure; lead on-premises to GCP migrations; implement and optimize Vertex AI solutions; manage change processes, monitoring, security, troubleshooting, and cross-team collaboration using Jira/Confluence.

Manage and optimize Google Tag Manager implementations, create custom tagging using JavaScript and data layers, troubleshoot tracking issues, design event and e-commerce tracking and consent management, ensure GA4 alignment, and maintain documentation and best practices.

Develop, modernize, and migrate enterprise Java applications—particularly moving Struts 1 apps to modern stacks. Build scalable Java 21 services with Spring 6, REST APIs, troubleshoot production issues, participate in code reviews, and collaborate with cross-functional teams. Work involves cloud integration and ensuring application performance and quality.

Lead product strategy for market-focused financial services products with deep data expertise. Build and design dashboards/data visualizations, define and track metrics, and translate designs into technical deliverables while collaborating with developers.

Lead hands-on front-end development using Angular to design, build, and review scalable, maintainable, low-latency web applications. Collaborate with stakeholders and cross-asset UI teams, follow agile practices, drive improvements, and adopt UI/UX best practices and standard frameworks.

Senior Java developer responsible for full software development lifecycle, building high-performance Java applications, designing enterprise architectures, implementing REST APIs, and collaborating in Agile teams.

Design and develop scalable Snowflake data models (conceptual, logical, physical) to support reporting. Collaborate with analysts, engineers, and report developers, optimize models for Power BI, ensure data lineage/governance, participate in testing, and support report developers.

Design, develop, optimize, and deploy large-scale data processing applications using Scala and Apache Spark within the Cloudera Hadoop ecosystem. Build ETL pipelines, ensure data integrity and performance, troubleshoot Spark/Cloudera issues, collaborate with data scientists and analysts, and implement version control and CI/CD for Spark applications.