Top Tech Jobs & Startup Jobs in Los Angeles, CA

Designs and implements AWS cloud-native applications, distributed systems, and machine learning infrastructure. Leads architecture for SageMaker model deployment, inference, endpoints, and AI integrations while guiding engineering teams. Builds scalable event-driven services using AWS Lambda, SNS/SQS, EventBridge, DynamoDB, and Bedrock. Develops Python automation and ML integrations, applies Terraform and CI/CD, and ensures production ML workloads are secure, reliable, scalable, and cost-effective. Preferred experience includes NLP, embeddings, generative AI, OCR, MLOps, RAG, and vector databases.

Designs enterprise data management and architecture solutions for clients, including data governance, quality, catalog, lineage, master data management, modeling, cloud platforms, and legacy modernization. Leads client workshops, proposals, proof-of-concepts, implementation roadmaps, complex engagements, globally distributed teams, and executive presentations. Serves as a data subject matter expert, mentors teams, contributes to thought leadership, and integrates third-party platforms across on-premises and cloud environments.

Own the architecture and delivery of Salesforce and Marketo implementations, managed services, integrations, and optimization engagements. Lead client discovery sessions, advise on technical direction, scope new work, support proposals, mentor marketing teams, and resolve complex Marketo configuration and data issues. The role requires strong Marketo expertise, client-facing consulting skills, adaptability, communication, and enthusiasm for using AI tools.

Manage Salesforce implementation projects and organizational change initiatives from planning through delivery. Responsibilities include creating timelines, facilitating Scrum ceremonies, coordinating technical and change workstreams, managing resources and vendors, assessing change impacts, developing stakeholder communications and training, addressing resistance, tracking adoption metrics, and reporting project status, risks, budgets, and readiness. The role requires close collaboration with clients, product leads, account teams, developers, and Scrum Masters in an Agile consulting environment.

Designs and leads enterprise application architecture across .NET, React, and Azure. Responsibilities include defining technical strategies and roadmaps, guiding engineering teams, designing cloud-native systems and APIs, supporting production applications, and improving reliability, observability, performance, security, and scalability. The role also involves stakeholder engagement, technical leadership, mentoring, consulting, distributed-team collaboration, and adoption of AI-assisted development tools such as GitHub Copilot and Claude.

Leads architecture and hands-on development of Java and AWS cloud solutions, including microservices, distributed systems, APIs, and AI-enabled applications. Defines technical strategies, engineering standards, and roadmaps; contributes to coding, reviews, troubleshooting, and deployment. Partners with clients and delivery teams, mentors engineers, supports consulting proposals, and drives scalable, secure, resilient solutions using modern DevOps and agile practices.

Design, develop, and support scalable full-stack, cloud-native applications using Next.js, TypeScript, .NET, Python, AWS, and Kubernetes. Build AI-enabled solutions involving generative AI, LLMs, intelligent assistants, RAG, and workflow automation. Collaborate with architects, product teams, and clients, contribute to architecture and Agile delivery, troubleshoot production systems, establish observability practices, review code, and mentor junior engineers.

Leads enterprise production support strategy and technical architecture for complex application ecosystems. Designs L1-L3 support models, ITIL processes, monitoring and observability frameworks, incident management practices, automation, and AI-enabled operational capabilities. Provides solution architecture, client advisory, governance, modernization, and executive communication while supporting applications built with .NET, Python, Databricks, and Azure. The role also drives reliability, performance, service readiness, operational resilience, and continuous improvement across client environments.

Design, develop, test, document, deploy, and support scalable full-stack applications using React, C#/.NET, and Hack. Build backend services, APIs, integrations, and AI-enabled capabilities including LLM workflows. Participate in Agile planning, code reviews, troubleshooting, client communication, and software delivery while applying modern architecture, DevOps, CI/CD, and automated testing practices.

Designs, operates, and scales AWS cloud infrastructure, networking, and Databricks platforms across multi-account environments. Manages Terraform-based infrastructure, CI/CD pipelines, EKS/Kubernetes clusters, enterprise data integrations, observability, incident response, and governance. Optimizes networking, compute performance, costs, reliability, and production data workloads while partnering with engineering teams on continuous delivery and platform operations.