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

Technical Architect role listed as a replacement position. The description provides no details about responsibilities, required technologies, qualifications, compensation, travel, or clearance requirements.

Designs, develops, deploys, and supports enterprise API solutions using Apigee and Kubernetes. Responsibilities include managing API proxies and lifecycles, implementing API security, deploying microservices and containerized workloads, maintaining Kubernetes resources, automating CI/CD pipelines, monitoring performance, troubleshooting production issues, and implementing observability. The role collaborates with developers, architects, and stakeholders to deliver scalable, secure, and reliable cloud-native platforms.

Develop and maintain scalable, secure ServiceNow scoped and custom applications. Apply platform engineering best practices, scripting, integrations, troubleshooting, code reviews, and performance standards. Collaborate with technical and business stakeholders on enterprise implementations while minimizing technical debt. The role requires ServiceNow implementation experience, AWS knowledge, AI-assisted development experience, and five days per week onsite in Alpharetta, Georgia.

Implement, support, and troubleshoot ServiceNow Discovery across enterprise environments. Manage MID Servers, Discovery Patterns, Sensors, IRE, CMDB Health, credentials, performance, and cloud resource discovery across AWS, Azure, and GCP. Develop Python automation and use AI-assisted development tools. Support ServiceNow solutions hosted primarily on AWS, participate in live technical interviews, maintain a ServiceNow PDI, and complete background, employment, and certification verification.

Develop and enhance Salesforce solutions using declarative tools, Apex, LWC, asynchronous processing, SOQL/SOSL, APIs, and Salesforce DX. Provide production support, estimate and design enhancements, and lead offshore team members supporting implementations and users.

Leads the design and development of enterprise-wide data and analytics systems using Snowflake, Python, advanced SQL, and AWS services. Requires strong data engineering expertise and experience supporting financial services organizations, with knowledge of asset management and financial markets.

Leads the design and development of enterprise-wide data and analytics systems using Snowflake, Python, advanced SQL, and AWS services including Lambda, Step Functions, and ECS. Requires strong data engineering expertise and practical experience building modern platforms within financial services, with knowledge of asset management and financial markets.

Develop generative AI solutions using Python, AWS, LLMs, chatbots, prompt and context engineering, RAG, vector databases, and agentic AI frameworks. Build coding prompts and contexts with GitHub Copilot, Claude Code, and Amazon Q Developer to convert business stories into production code and pull requests. Design autonomous and multi-agent workflows, memory and token-management systems, caching strategies, MCPs, and real-time AI decisioning features. Auto-lending experience and A/B testing expertise are advantageous.

Administers and supports Omnissa Workspace ONE, Microsoft Intune, and macOS endpoints while developing ServiceNow and Power BI dashboards, KPIs, and executive reports. Automates reporting and operational workflows using Power Automate, PowerShell, Python, and APIs. Monitors endpoint compliance, system health, and security posture; partners with engineering, security, and operations teams; and documents incidents, resolutions, and change-management activities.

Develop and support Salesforce solutions using declarative tools, Apex, Lightning Web Components, asynchronous processing, SOQL, SOSL, Salesforce DX, APIs, and metadata-driven configuration. Provide production support, estimate and design enhancements, implement new functionality, and lead offshore team members supporting production and enhancement delivery.