Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Build and maintain scalable batch and incremental data pipelines using Python, SQL, and Snowflake. Develop warehouse models, transformations, automation, data quality checks, lineage, alerting, and performance optimizations. Collaborate with analysts, data scientists, and application teams to deliver trusted datasets, while documenting pipelines, schemas, and data contracts.

Own cloud infrastructure, CI/CD, and cloud operations across GCP and/or AWS. Build Terraform-based platforms, Jenkins pipelines, Docker workflows, automation scripts, monitoring, logging, alerting, and incident response processes. Improve cloud security, access control, cost efficiency, and reliability while partnering with engineering and QA teams. Mentor team members and streamline build, testing, and release processes.

Develop and maintain Adobe Experience Manager components, templates, and content fragments. Integrate AEM with customer data, personalization, analytics, experimentation, and Tealium tagging platforms. Support A/B testing, Customer Journey Analytics, reporting, performance, security, caching, and deployment. Collaborate with authors, marketers, analysts, and front-end engineers to optimize digital experiences.

Site Reliability Engineer responsible for improving the reliability, resiliency, observability, and operational stability of large-scale application and platform environments. Duties include monitoring, alerting, incident response, troubleshooting, root-cause analysis, automation, performance and capacity analysis, operational readiness, and collaboration with application, infrastructure, and platform teams. The role requires strong production engineering experience, cloud platform knowledge, infrastructure-as-code familiarity, and secure operational practices.

Build, automate, and manage scalable cloud infrastructure on Google Cloud Platform using Infrastructure as Code. Develop reusable provisioning automation, support deployments, improve reliability and observability with Datadog and Grafana, troubleshoot infrastructure issues, participate in incident response, and maintain secure configurations through GitHub-based engineering practices. Collaborate with application, platform, and SRE teams while using Jira for delivery activities.

Develop secure, scalable full-stack applications using Java, Spring Boot, microservices, REST APIs, AWS, Docker, and Kubernetes, while leading Angular frontend architecture and development. Build responsive interfaces with Angular, TypeScript, NgRx, RxJS, and Angular Material. Contribute across the software development lifecycle, including design, testing, automation, troubleshooting, and deployment. The role requires enterprise architecture experience, Agile collaboration, and mandatory fraud prevention domain expertise.

Develop and maintain responsive Angular web applications using Angular 19+, Signals, Reactive Forms, and modular component architecture. Build complex forms, integrate REST APIs with RxJS, optimize change detection and performance, and create unit tests with Vitest or Jest. Collaborate with design, backend, and product teams, troubleshoot cross-browser issues, participate in code reviews, and follow modern front-end development practices.

Designs, develops, and optimizes agentic AI workflows using LLMs, agent frameworks, RAG pipelines, APIs, and enterprise integrations. Builds multi-agent systems, tool-calling capabilities, memory management, human-in-the-loop processes, backend services, evaluation pipelines, and workflow automation. Optimizes prompts, retrieval, accuracy, latency, and cost, while deploying and monitoring production GenAI applications in cloud environments.

Develop and maintain responsive Angular web applications using Angular 19+, Signals, Reactive Forms, TypeScript, and RxJS. Build reusable UI components, integrate REST APIs, optimize change detection and performance, write unit tests with Vitest or Jest, troubleshoot cross-browser issues, and collaborate with design, backend, and product teams. Participate in code reviews and apply modern frontend development practices.

Lead the architecture and development of Python backend infrastructure for agentic AI products. Build multi-agent orchestration, asynchronous APIs, secure tool execution, RAG and memory systems, observability, and security guardrails. Mentor engineers, conduct architectural reviews, and establish backend engineering standards. The role requires extensive experience with AI orchestration frameworks, concurrency, task queues, relational and vector databases, cloud infrastructure, distributed systems, and microservices.