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WireScreen

Senior Back-End Engineer

Reposted 19 Days Ago
Hybrid
New York, NY
165K-200K Annually
Senior level
Hybrid
New York, NY
165K-200K Annually
Senior level
As a Senior Back-End Engineer, you'll design and build platform features, handle data growth, scale systems, and improve engineering processes while collaborating with teams.
The summary above was generated by AI

WireScreen is a fast-growing Series A startup building the go-to open source intelligence platform for navigating global supply chains and China-related risk. While China maintains some of the world’s most detailed corporate ownership records, the real challenge is connecting the dots. That’s where we come in—surfacing the networks, relationships, and financial ties behind companies to support national security, compliance, and regulatory oversight.

 

Backed by Sequoia Capital and Harpoon Ventures, our team includes a two time Pulitzer Prize-winning journalist and senior engineers from Google, Twitter, and Oracle. We launched our product just three years ago and already have strong traction with top-tier government customers—and we’re just getting started. If you're excited to bring transparency to complex global systems, now’s the perfect time to join us.

 

Check out this blog from our CEO on how WireScreen traced DeepSeek’s origins back to 2023—well before it went mainstream in 2025.

 

About The Role:

As a Senior Backend Engineer, you’ll work collaboratively to design and build our next-generation platform and product features. You'll face diverse and interesting problems, from modeling graph relationships between tens of millions of entities to augmenting datasets via new data pipeline stages to delivering data to our web UI and other products. Beyond delivering product features that could 10x our revenue—responsibilities also include scaling our systems to handle massive data growth, optimizing software performance, and pushing the boundaries of what’s technically possible.

 

Good communication skills are key in this role as we work closely with our research team of experts in international business and regulation. We believe in teamwork, collaboration, and helping each other to reach our goals. We have a lot of challenging problems to solve and are looking for someone with a positive outlook and a can-do attitude. Reporting directly to the Head of Engineering, you’ll have an excellent opportunity to grow quickly in your career as you develop a breadth of skills alongside a highly motivated, capable team.

 

What You'll Do:

  • Work alongside a product manager, UX designer, and other engineers to deliver valuable new product features.​​
  • Collaborate on our technical vision.
  • Advocate for and prototype new technology solutions that solve real problems.
  • Build scalable, reliable, and maintainable systems able to handle more data, more queries, and more insights.
  • Design platform APIs upon which multiple product features depend.
  • Continuously and incrementally improve our engineering processes, documentation, tools, and systems.

 

You Should Apply If You Have...

  • 5+ years as a backend or full-stack software engineer.
  • Proficiency with relational databases and SQL.
  • A generalist approach, and an open mind to trying new ways of solving problems.
  • A passion for building software to solve business and product problems.
  • Strong technical skills that enable you to deliver a quality product, quickly to market.
  • An acumen for working with others to break down problems into smaller deliverables with intermediate milestones.
  • Strong communication skills with both technical and non-technical teammates.
  • A growth mindset and positive attitude.

Bonus Points If You Have...

  • Strong Python programming skills.
  • Experience with large-scale data processing engines like Apache Spark.
  • Experience working with datasets of 10s of millions of entities, especially as a knowledge graph or similar format.
  • Experience building and scaling data pipelines.
  • Experience collaborating with stakeholders on data-related problems alongside data analysts, data engineers, and data scientists.

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