Top Tech Jobs & Startup Jobs in Los Angeles, CA

Lead engineering for enterprise network security platforms, including firewall infrastructure, Infrastructure as Code, CI/CD pipelines, Ansible automation, APIs, and scripting. Troubleshoot complex network, cloud, and security issues; establish engineering standards; improve reliability and scalability; manage platform upgrades and vulnerability remediation; and provide technical leadership across engineering, networking, application, cloud, and security teams.

Designs, develops, deploys, and supports secure AI-powered enterprise applications and automation solutions. Builds backend services, APIs, cloud-native applications, and integrations using Generative AI, LLMs, RAG, agentic frameworks, and modern software engineering practices. Fine-tunes models, optimizes performance, manages production deployments, and contributes to architecture, documentation, Agile ceremonies, governance, security, privacy, and cross-functional delivery.

Design, develop, test, deploy, and support enterprise full-stack applications using React, Java/Spring Boot, and Python. Build secure APIs, microservices, integrations, chatbot interfaces, and cloud-native solutions. Work with Azure or AWS, Docker, Kubernetes, CI/CD pipelines, databases, messaging systems, and enterprise security practices. Collaborate in agile teams, participate in architecture discussions, refine requirements, conduct code reviews, and maintain quality through automated testing. Experience integrating AI or generative AI solutions is preferred.

Develop and support full-stack enterprise applications for legal operations, matter management, document management, compliance, and business process automation. Build React frontends, Java and Spring Boot microservices, REST APIs, event-driven integrations, and cloud-native solutions. Work with databases, Docker, Kubernetes, Azure, AWS, CI/CD, monitoring, security, production support, and Agile delivery while collaborating with legal, compliance, product, architecture, and engineering teams.

Leads and develops software engineering teams while remaining hands-on with Java and Spring Boot development. Responsibilities include setting architecture and technical roadmaps, delivering scalable enterprise applications, guiding Agile planning, improving CI/CD and DevOps practices, supporting production reliability, mentoring talent, and partnering with product and business stakeholders. The role manages hiring, performance, succession planning, and engineering excellence initiatives.

Provides enterprise-level platform consulting, solution design, technical architecture, and strategic direction for insurance pricing and underwriting data and analytics needs. Aligns product designs with enterprise standards, influences technology roadmaps, facilitates discovery and risk analysis, and bridges business and technical leadership. Acts as a subject-matter expert and mentor to platform consultants, guides engineering practices, evaluates emerging technologies, and drives consistency and measurable business outcomes across the organization.

Own the strategy, roadmap, prioritization, and adoption of an enterprise Infrastructure as Code and Engineering as Code product. Translate customer and engineering needs into capabilities, user stories, and acceptance criteria; partner with infrastructure, platform, security, and operations teams; guide technical trade-offs; and measure adoption, reuse, automation, reliability, compliance, and recovery outcomes. The role also drives Agile delivery, customer onboarding, documentation, and coaching of product management colleagues.

Own the product roadmap for AI-powered insurance customer experiences, translating strategy into shipped capabilities. Responsibilities include stakeholder and demand management, problem framing, success-metric definition, data-driven analysis, user experience collaboration, prioritization, and cross-functional execution. The role also involves experimenting with Generative AI and agentic technologies and responsibly scaling successful concepts into production.

Leads architecture, design, development, testing, deployment, monitoring, and production ownership for complex software products. Guides engineering practices including TDD, pair programming, CI/CD, microservices, and distributed systems. Provides technical leadership across product teams, facilitates Agile ceremonies, resolves technical issues, and manages medium to large engineering teams. Advises direct reports on priorities, risks, budgets, administrative policies, and sourcing decisions while driving KPI achievement.

Leads enterprise data architecture strategy, modernization, and implementation across cloud data platforms, data lakes, lakehouses, warehouses, analytics, and AI environments. Designs secure, scalable data models, ingestion and integration patterns, and cloud-native architectures. Builds prototypes, evaluates emerging technologies, guides engineering teams, and drives adoption of strategic data products. Partners with executives, business stakeholders, architects, security, and delivery teams to establish enterprise data practices and architectural direction.