The Software Engineer (Fullstack) at Sumble will develop and optimize software applications, manage data integration, enhance security, and ensure a high-quality user experience.
Sumble is building a knowledge graph from web data with a first focus on data for go-to-market teams. We use sources like job posts and resume data to identify things like org structure, tech stack, and key projects (e.g., GenAI initiatives, cloud migrations). Our product already has strong product-market fit, early revenue, and happy customers — and now we’re ready to accelerate.
Our long-term vision is to become the primary destination for accessing high-quality web data. Try the product at sumble.com.
Our Team
We are a team of 15, including 10 engineers with experience at companies such as Google, Meta, Stack Overflow, and Kaggle.
What we are looking for:
- Someone who has strong expertise in one or more of the following areas, with the ability/interest to:
- Experience developing software applications using a general-purpose programming language such as C#, Python, Java, or JavaScript.
- Efficiently querying large volumes of data and doing large aggregations
- Developing, maintaining, and optimizing software to efficiently serve a web application and query a database
- Developing, maintaining and troubleshooting integrations with external applications
- Ensuring the security and durability of software with appropriate and actionable alerting, monitoring, and logging systems
Our Tech Stack:
- Languages & Frameworks: Python, FastAPI, React, Typescript
- Cloud Platform: Google Cloud Platform (GCP)
- Databases: PostgreSQL, AlloyDB
- ML/Data: PyTorch, Huggingface, vLLM, Skypilot, Marimo, Prefect
- Infrastructure: Cloud Run
- Design: Figma, Vercel V0
Challenges We Tackle:
- Transforming noisy datasets into high-quality data products
- Running expensive analytics computations efficiently
- Managing the complexity of a growing number of data sources, machine learning models, and large data operations
- Creating a user experience that allows both powerful high-level aggregations AND allows users to also see the granular underlying source data
Requirements
- Located within Americas timezones
Benefits
- Medical, dental, and vision (US)
- 401k (US)
- Target 4 weeks PTO
Similar Jobs
.png)
Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
Lead design and build of scalable AWS cloud-based backend services and APIs powering web and mobile customer experiences. Own end-to-end feature delivery, improve grading and authentication workflows for scale and reliability, leverage AI tools to accelerate development, and provide technical leadership and mentorship across teams.
Top Skills:
AWSC#Claude CoworkCodexEvent-Driven ArchitecturesJavaMicroservicesNext.JsPythonReactServerless
Legal Tech • Software • Generative AI
Build and own Eve's marketing site and GTM engineering stack: integrate and optimize external tools, design AI agents for sales and marketing, implement webhooks and middleware to sync product/CRM data, and create programmatic campaigns and internal tools in partnership with Marketing, Sales, RevOps, and Product to drive growth and automation.
Top Skills:
Ai AgentsCRMCSSHTMLJavaScriptLlmsMarketing AutomationMiddlewarePythonSQLWebhooks
Fintech • Machine Learning • Payments • Software • Financial Services
Lead the development and maintenance of Capital One's marketing website, focusing on performance, collaboration with stakeholders, and continuous optimization of front-end technologies.
Top Skills:
AWSCi/CdContentful CmsFigmaGCPAzureNext.JsReactShadcn UiTailwind.CssTypescript
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
