Top Tech Jobs & Startup Jobs in Los Angeles, CA

Develop and maintain user-facing and internal product documentation including user guides, integration guides, installation/configuration instructions, and release notes. Research, write, edit, and update content for technical and non-technical audiences, test products for documentation accuracy, track deliverables via ticketing systems, and collaborate with Development, Engineering, QA, Product, Marketing, and Customer Enablement teams.

Design, implement, administer, and optimize large-scale Hadoop clusters (HDFS, YARN, MapReduce). Monitor, secure, troubleshoot, automate provisioning, and implement backup/disaster recovery. Collaborate with data engineers/scientists, implement ETL/streaming pipelines, and document configurations and best practices.

Create user flows, wireframes, mockups, and interactive prototypes. Design accessible, visually appealing UI components. Conduct user research and usability testing, maintain design systems, collaborate with product and engineering, and iterate based on user feedback.

Design and implement GCP architectures, lead cloud foundation builds and on-premises to GCP migrations, implement Vertex AI solutions, mentor engineers, ensure security/compliance, troubleshoot infrastructure, and collaborate with stakeholders to translate business needs into scalable cloud solutions.

Architect and implement scalable, secure microservices and headless commerce solutions. Design composable frontend architectures, define API-first integrations, lead third-party integrations (GTM, Adobe Analytics, payments, CDPs), enforce security best practices, and collaborate with DevOps on CI/CD and cloud deployments.

Plan, design, and run qualitative and quantitative user research (usability tests, interviews, surveys, field/diary studies). Synthesize findings into actionable insights, collaborate with product, design, and data teams, and advocate for user-centered decisions across the product lifecycle.

Design and develop Big Data applications using Java, Spark, and MapReduce on Cloudera/Hadoop ecosystems. Work with Hive, Impala, YARN, Kafka, and large datasets; write tests (JUnit), perform data analysis, and script in Unix/Python. Lead and manage global technology teams and follow industry best practices.

Design and architect end-to-end, scalable solutions for financial and investment systems using Java, Spring Boot, microservices, cloud (AWS/Azure), data platforms, and observability. Provide technical leadership, define SLIs/SLOs, guide implementation (containers, Kubernetes, Azure AD auth), and collaborate with stakeholders to ensure alignment with enterprise architecture and security.

Lead architecture and delivery of large-scale microservices systems, define standards and roadmaps, mentor engineers, ensure scalability/resilience, oversee CI/CD, observability, data strategy, and cross-functional technical alignment.

Design, develop, and execute automated test strategies for data pipelines, ETL processes, and data warehouses. Create and maintain automation frameworks and CI/CD-integrated test suites, perform data validation and reconciliation using complex SQL and PySpark, identify and track defects, and collaborate with development and data teams to improve data quality and system reliability.