Top Tech Jobs & Startup Jobs in Los Angeles, CA

Design and execute performance/load tests for microservices and web applications, identify bottlenecks, analyze CPU/memory/network metrics, report defects, collaborate with developers to reproduce and resolve issues, and improve testing processes and tools.

Design and architect large-scale distributed big data solutions. Develop, test, and deploy Spark/Scala applications, build ETL pipelines with Cloudera Hadoop components, optimize Spark and platform performance, ensure data integrity and security, and implement version control and CI/CD for data processing workflows while collaborating with data scientists and analysts.

Lead architecture and development of cloud-native, scalable Java/Spring Boot microservices. Implement event-driven systems (Kafka/Pub/Sub), GraphQL and REST APIs, caching with Redis, NoSQL databases, CI/CD, containerization, and infrastructure-as-code. Mentor backend engineers and collaborate with frontend, DevOps, and data teams to ensure performance, reliability, and observability.

Design and architect CMS solutions. Lead technical architecture for content management implementations; collaborate with stakeholders. Healthcare domain experience is preferred.

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.

Develop and migrate legacy IBM DataPower MQ and SOAP integrations to cloud-native Spring Boot microservices. Build RESTful APIs, implement security (OAuth2/JWT), integrate Kafka and IBM MQ, write tests, optimize performance, and collaborate with architects, DevOps, and QA during deployment and troubleshooting.

Design and develop high-performance, high-volume ETL jobs using Talend. Tune databases and write SQL/PLSQL and stored procedures across MySQL/PostgreSQL/Oracle/SQL Server. Implement data warehouse models, integrate REST/SOAP APIs, process JSON/XML/flat files, and support BI tooling for reporting and analytics.

Design, develop, optimize, and deploy high-performance data processing applications using Scala and Apache Spark on Cloudera CDH. Build and tune ETL pipelines integrating HDFS, Hive, Impala, HBase, and Kafka. Ensure data integrity and security, troubleshoot performance, collaborate with data scientists and analysts, and implement version control and CI/CD.

Design, develop, and implement scalable technical solutions and system designs. Provide technical leadership, evaluate technologies, troubleshoot complex issues, collaborate with cross-functional teams, and mentor junior engineers to ensure architectural best practices.

Serve as liaison between end-users and IT to elicit and document complex business requirements, translate them into functional specifications, facilitate design sessions, lead projects and develop project plans, perform quality checks and release management, manage service requests through the SDLC, and mentor junior analysts.