Top Tech Jobs & Startup Jobs in Los Angeles, CA

Lead a software engineering team to design, develop, test, and deploy scalable software. Collaborate with product, design, and stakeholders to prioritize work, estimate timelines, and manage delivery. Provide technical guidance, conduct code reviews, enforce architecture and coding standards, mentor engineers, and drive continuous improvement using agile practices.

Architect and develop Java-based microservices applications, lead technical teams, design system integration and middleware strategies, optimize performance, and translate stakeholder requirements into scalable, cloud-deployed solutions.

Lead migration and modernization of a legacy Spring MVC app to Spring Boot 3.3/JDK17, migrate caching from WebSphere Extreme Scale to Redis, containerize on OpenShift, provide architectural guidance, drive cloud-native and microservices adoption, optimize performance, collaborate with OpenShift architect, and produce documentation and roadmaps for stakeholders.

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.

Hands-on senior developer role building Rust-based cloud services. Design and implement scalable, low-latency systems for pricing, order management, trading, simulations, and monitoring. Mentor junior engineers, collaborate with architects, apply agile practices, and drive CI/CD, performance profiling, and automation.

Design and enforce architecture and engineering best practices for .NET microservices on Azure. Create solution artifacts, ensure code quality, CI/CD, containerize and deploy to Azure (AKS), integrate cloud storage/databases and security, and provide technical leadership.

Lead and review creative workstreams, oversee and create design deliverables (comps, style guides, branding, layouts), contribute to information architecture and content structures, set objectives and lead project delivery, and coordinate with offshore resources to ensure design implementation and technical handoff.

Design, develop, and maintain PySpark applications and ETL pipelines to process, transform, and integrate large-scale datasets from SQL, NoSQL, data lakes, and streaming sources. Optimize Spark job performance, implement robust error handling, and collaborate with data analysts, scientists, and architects using orchestration tools like Airflow or Luigi.

Lead architect to design and implement large-scale, distributed big data solutions using Java and Big Data technologies. Hands-on with Java 1.8+, Apache Spark, MapReduce, Hadoop/Cloudera, Hive, Impala, YARN, and Kafka. Perform data analysis, design scalable architectures, enforce testing (JUnit), and optionally use Unix/Python scripting. Manage global technology teams, apply industry best practices, and communicate effectively across stakeholders.

Design, develop, and maintain high-performance Java microservices using Spring Boot. Implement threading/concurrency, fault tolerance (Hystrix/circuit breakers), observability (SLI/SLO), event-driven solutions with Kafka, and deploy on Kubernetes/AWS. Mentor junior developers and collaborate with cross-functional teams.