Backend Engineer

Product Data sources Capabilities Trade Registries GitHub X (Twitter) Patents Research Papers Co-Founder Searches Domains Product Hunt Hackathons Grants Workflows Integrations API Access Evertrace MCP Book a demo Get an inside look that fits your needs. Use cases Use cases Early Stage VCs Startups Angel investors Universities Company Company Customers About Us Careers Blog posts Pricing Get discovered Log inBook a demo Engineering Backend Engineer Location: Copenhagen, Denmark We are looking for a talented backend engineer, who wants to join Evertrace and create the #1 founder detection engine for data-driven VCs. Given the nature of products we are building, we are especially looking for engineers with experience from working in startups with data heavy applications. The role will be reporting to the founder team and responsible for further building out the backend with a sub-focus on frontend integration. 💡 What You Will Be Doing: Build out, improve, and maintain software related to our existing database architectures, integrations and product functionalities Own the backend development of new products from inception to production Help develop and train the machine learning models that underpin all of our products Help shape and define our future product roadmap 👀 We are looking for someone who has extensive experience: Developing in Python Working with databases structures like PostgreSQL Working as a developer in a high-performing startup, so you know what good looks like and how we can enable our customers to better spot and evaluate the best new startups 💥 The Perfect Candidate Will Also Have Experience: Training and building machine learning models – from simpler ones like linear/logit regression/xgboost to more complex LLMs Using and deploying applications on Kubernetes Scraping – limited part of the job, but a critical source of the data we build our products on, so key to understand how to handle scraped data, what is feasible/what isn’t, etc. ⏰ Our Hiring Process: Introduction (2x30 minutes with each founder) - Discuss Evetrace, the role, and yourself Coding interview (45 minutes) – Exercised based coding interview Data science interview (45 minutes) – General questions relating to statistics/machine learning, scraping, and data structuring along with exercises General technical interview (45 minutes) – Overall questions relating to working with our current stack and your recommendations to improve it Throughout we highly encourage you to ask questions to ensure that this is the right fit for both of us 📬 How To Apply: Please email your application to [email protected] – include your CV along with any links/references to any projects that showcase your skills. We are always interested in speaking with great candidates – even if your profile doesn’t exactly match the above, but you believe that you could be a valuable addition to our team, please do not hesitate to reach out! Our mindset How We Work And What We Believe Coverage is king. You can’t invest in what you don’t see. We aggregate data and signals across every relevant source so you never miss a founder or a deal. Timing is critical. Winning deals starts early. We surface signals in real time so you can start the conversation the moment a deal becomes relevant. Noise is waste. Noise burns time on manual checks. We cut through the noise to only deliver high-potential founders that fit your thesis Our location We’re based in Copenhagen, Denmark Copenhagen Langebrogade 6 1411, Copenhagen Denmark Get directions Follow us on Linkedin Linkedin Ask AI About Us Product Data sourcesWorkflowsIntegrationsAPI accessPricing Use cases Early stage VCsStartupsAngel investorsUniversities Company CustomersSecurityAboutCareersPress kitBlog postsContact Compare Evertrace vs. HarmonicEvertrace vs. SpecterEvertrace vs. SynapticEvertrace vs. DealroomEvertrace vs. PitchbookEvertrace vs. Crunchbase Terms & conditionsPrivacy policyOpt out GlossaryLinkedinX (Twitter) Data sources Capabilities Trade Registries GitHub X (Twitter) Patents Research Papers Co-Founder Searches Domains Product Hunt Hackathons Grants Workflows Integrations API Access Evertrace MCP Book a demo Get an inside look that fits your needs. Data sources Capabilities Trade Registries GitHub X (Twitter) Patents Research Papers Co-Founder Searches Domains Product Hunt Hackathons Grants Workflows Integrations API Access Evertrace MCP Book a demo Get an inside look that fits your needs. Use cases Early Stage VCs Startups Angel investors Universities Use cases Early Stage VCs Startups Angel investors Universities About Us Careers Blog posts About Us Careers Blog posts We are looking for a talented backend engineer, who wants to join Evertrace and create the #1 founder detection engine for data-driven VCs. Given the nature of products we are building, we are especially looking for engineers with experience from working in startups with data heavy applications. The role will be reporting to the founder team and responsible for further building out the backend with a sub-focus on frontend integration. 💡 What You Will Be Doing: Build out, improve, and maintain software related to our existing database architectures, integrations and product functionalities Own the backend development of new products from inception to production Help develop and train the machine learning models that underpin all of our products Help shape and define our future product roadmap 👀 We are looking for someone who has extensive experience: Developing in Python Working with databases structures like PostgreSQL Working as a developer in a high-performing startup, so you know what good looks like and how we can enable our customers to better spot and evaluate the best new startups 💥 The Perfect Candidate Will Also Have Experience: Training and building machine learning models – from simpler ones like linear/logit regression/xgboost to more complex LLMs Using and deploying applications on Kubernetes Scraping – limited part of the job, but a critical source of the data we build our products on, so key to understand how to handle scraped data, what is feasible/what isn’t, etc. ⏰ Our Hiring Process: Introduction (2x30 minutes with each founder) - Discuss Evetrace, the role, and yourself Coding interview (45 minutes) – Exercised based coding interview Data science interview (45 minutes) – General questions relating to statistics/machine learning, scraping, and data structuring along with exercises General technical interview (45 minutes) – Overall questions relating to working with our current stack and your recommendations to improve it Throughout we highly encourage you to ask questions to ensure that this is the right fit for both of us 📬 How To Apply: Please email your application to [email protected] – include your CV along with any links/references to any projects that showcase your skills. We are always interested in speaking with great candidates – even if your profile doesn’t exactly match the above, but you believe that you could be a valuable addition to our team, please do not hesitate to reach out! Copenhagen Langebrogade 6 1411, Copenhagen Denmark Get directions Copenhagen Langebrogade 6 1411, Copenhagen Denmark