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
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
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
The Lead Full Stack Software Engineer will design, develop, and test software applications, collaborate with teams, and contribute to healthcare IT solutions.
Top Skills:
AgileC#Cloud PlatformsDevOpsFhirGitNoSQLPythonSQL
Artificial Intelligence • Cloud • Consumer Web • eCommerce • Information Technology • Software
The Senior Software Engineer will design, develop, and optimize scalable PHP APIs and web applications, collaborating with product and design teams to support product development and implement best coding practices.
Top Skills:
GitHTMLJavaScriptMySQLPHPScssTypescript
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
