Top Tech Jobs & Startup Jobs in Los Angeles, CA

Leads AI-focused technical pre-sales, client discovery, solution architecture, and commercial planning. Designs scalable AI platforms across AWS, Azure, GCP, Snowflake, and Databricks; operationalizes LLMs and agentic workflows; and guides enterprise AI initiatives from pilots to production. Develops proposals, reference architectures, accelerators, thought leadership, and executive-ready ROI narratives while partnering with sales, delivery teams, and technology partners.

Develop and enhance Android applications using Kotlin and Java, applying MVVM and MVC design patterns and asynchronous programming. Collaborate with engineers, designers, and product managers in an agile Scrum environment. Provide technical support and training, oversee project deliverables, mentor colleagues, and help clients align digital solutions with business goals. The role also involves adopting AI tools, communicating effectively, and contributing to rapid product development.

Partners with product owners, business users, developers, and QA teams to define requirements for digital modernization initiatives. Creates user stories, workflow diagrams, acceptance criteria, and backlog documentation; analyzes APIs and SQL; researches existing functionality; supports testing and UAT; and improves documentation and delivery practices. The role also promotes AI adoption, mentors colleagues, and applies regulated-environment experience to ensure traceability and quality.

Design and maintain Golang backend services, APIs, microservices, automation tools, and Terraform infrastructure modules. Provision and manage cloud resources, troubleshoot application and deployment issues, and improve reliability and performance. Participate across the software development lifecycle, review code and infrastructure configurations, collaborate with technical teams, and communicate project risks. Use AI tools such as Claude, mentor colleagues, and contribute to client-focused technical solutions.

Designs and maintains pipelines migrating financial data from legacy Oracle databases to Oracle ERP. Develops SQL and PL/SQL transformations, backend integrations, data mappings, reconciliation, testing, monitoring, troubleshooting, and documentation. Partners with accounting, business, and technical stakeholders to resolve issues and support large-scale financial transformation. The role also involves AI tool adoption, code reviews, solution design, deployment activities, governance, communication, mentoring, and project oversight.