Top Tech Jobs & Startup Jobs in Los Angeles, CA

Design and deliver complex data models (100+ tables) across on-prem and cloud environments using Data Vault 2.0 and dimensional methodologies. Work with Snowflake, Redshift, Hive and related big data tools, collaborate with product, dev, DBA and governance teams, implement Kimball/Inmon techniques, and support data governance, MDM, profiling, lineage and quality. Must overlap Pacific time for daily standups.

Senior backend developer responsible for designing and building Java-based microservices using Spring Boot, Kubernetes, Docker and AWS. Work with Kafka/ messaging, REST APIs, OAuth security, JSON/XML, PL/SQL, and Unix/Linux environments. Collaborate in agile/scrum teams and communicate effectively across distributed teams.

Lead front-end UI development using Angular 16+, TypeScript, HTML5, CSS3 and WebComponents. Implement CI/CD, automated testing (Mocha/Karma/Jasmine, Selenium), Git workflows, Docker, and collaborate on distributed agile teams. Ensure cross-browser compatibility, integrate with Java/Spring Boot REST services, and deliver robust solutions for large corporate environments; banking/financial experience preferred.

Design, develop, test, and deploy high-performance Spark/Scala data processing applications and ETL pipelines using the Cloudera Hadoop ecosystem. Optimize Spark and platform performance, ensure data integrity and security, collaborate with data scientists and analysts, troubleshoot issues, and implement version control and CI/CD for Spark applications.

Lead design and development of scalable, secure Java-based enterprise applications and RESTful Spring Boot microservices. Require expertise in Core Java, multithreading, Spring/Hibernate, Oracle PL/SQL, high-availability and security. Work in Agile with global distributed teams and engage directly with business stakeholders.

Lead creative and UX design across web and mobile in an enterprise environment. Drive visual design, UX architecture, research, content strategy, and design-thinking workshops. Translate data requirements into visualizations, ensure technical feasibility, and collaborate with cross-functional teams and developers to deliver design deliverables.

Design, develop, and maintain high-performance Java microservices using Spring Boot. Implement threading/concurrency, fault-tolerance (Hystrix/circuit breakers), observability (SLI/SLO), and event-driven solutions with Kafka. Deploy and operate services on Kubernetes and AWS, mentor junior developers, and collaborate with cross-functional teams to deliver reliable, scalable features.

Lead planning, execution, and delivery of large technical programs across multiple engineering teams. Break down complex goals into milestones, write functional and technical user stories, manage resources and partner relationships, communicate status to senior leadership, anticipate bottlenecks, balance technical and business tradeoffs, and own program roadmaps.

Design and deliver large-scale data models (100+ entities) for on-prem and cloud environments using Data Vault 2.0, dimensional and normalized schemas. Work with stakeholders to analyze requirements, implement data warehouse methodologies (Inmon, Kimball), and ensure data governance, MDM, data quality, profiling, lineage, and dictionary across big data and cloud platforms (Snowflake, Hive, Redshift).

Lead architecture and execution of a microservices e-commerce platform using Java Spring Boot, GCP/GKE, Docker/Kubernetes, and frontend integration (React/Vue). Design scalable APIs, ensure security/compliance (GDPR, PCI DSS), optimize performance, build CI/CD pipelines, mentor senior engineers, and drive cross-functional collaboration and documentation.