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

Develop and maintain ETL pipelines, data integration workflows, backend services, and optimized database operations. Build scalable Java and Spring Boot applications, write complex SQL, implement validation and error handling, perform unit testing, troubleshoot pipeline and application issues, and support production deployments. Collaborate with data engineers, developers, QA teams, and business stakeholders while documenting processes and following software development best practices.

Monitors SIEM alerts and security events, manages IAM and access controls, conducts vulnerability assessments, investigates and responds to incidents, reviews suspicious activity, supports audits and compliance, prepares security documentation, and recommends improvements to threat detection and security controls. The role collaborates with IT, cloud, infrastructure, and compliance teams to strengthen the organization’s security posture.

Analyzes and documents ERP business requirements, supports SAP and Oracle processes, writes SQL queries, and improves workflows. The role prepares functional specifications, coordinates with technical teams, supports ERP testing and UAT, resolves issues, and collaborates with stakeholders on implementations and enhancements. It also contributes to process improvement, reporting validation, and ERP integration or migration projects.

Develop, train, evaluate, optimize, and deploy machine learning models and AI applications using Python and PyTorch. Prepare datasets, build REST APIs for model serving, troubleshoot data and API issues, and maintain model versions and documentation. Collaborate with engineering, data science, and product teams while following software development practices such as Git, code reviews, automated testing, and deployment workflows.

Develop, test, debug, and maintain software applications using Java and Python. Write efficient code, SQL queries, and unit tests; work with relational databases and Git. Participate in code reviews, Agile/Scrum ceremonies, and cross-functional collaboration with engineering, QA, and product teams while learning new frameworks and technologies.

Develop and maintain data pipelines using Python, SQL, ETL, and Apache Spark. Extract, transform, validate, and load data from databases, APIs, and files; monitor pipeline performance and quality; support batch and streaming workflows; document processes; and collaborate with analytics and business intelligence teams.

Designs, configures, maintains, monitors, and troubleshoots secure enterprise network infrastructure. Responsibilities include managing routers, switches, firewalls, LAN, WAN, and VPN environments; supporting BGP and other routing protocols; resolving outages and connectivity issues; maintaining network security and documentation; and collaborating with IT, security, and infrastructure teams.

Build and maintain scalable data transformation pipelines, analytics-ready datasets, data warehouses, data marts, and reusable data models using SQL and dbt. Implement data quality testing, validation, monitoring, documentation, and governance while optimizing warehouse performance and integrating multiple data sources. Partner with analysts, product managers, and business stakeholders to support dashboards, KPI reporting, business intelligence, and strategic analytics initiatives.

Develop and maintain Android and iOS mobile applications using Kotlin and Swift. Integrate REST APIs, third-party services, and mobile SDKs; collaborate with designers, backend developers, and product teams; test, debug, optimize performance, and support application security and responsive user experiences.

Analyze and present data while developing interactive dashboards, data visualizations, and reporting interfaces with React.js, JavaScript, and TypeScript. Build reusable responsive UI components, integrate REST APIs, translate business requirements into analytical applications, troubleshoot frontend and data presentation issues, and collaborate with cross-functional Agile teams. The role also involves improving application performance, maintaining documented code, and supporting data-driven business decisions.