Staff Software Engineer - Backend

Reposted 4 Days Ago
New York, NY
In-Office
220K-240K Annually
Senior level
Artificial Intelligence • Software
The Role
Design and build scalable data pipelines and architect data infrastructure, collaborating with teams to optimize performance and support analytics.
Summary Generated by Built In
About Us

Founded in 2021, Axion Ray is at the forefront of transforming product quality and customer satisfaction in manufacturing. Our cutting-edge AI-powered platform empowers manufacturers to swiftly identify, thoroughly investigate, and effectively resolve quality issues while simultaneously elevating customer experiences and outcomes.

As trailblazers in end-to-end quality intelligence, we're setting new industry standards. Our innovative approach enables industrial, aerospace, consumer, and medtech manufacturers to harness the power of quality and post-market data, driving down costs and boosting business performance.

Our vision extends beyond mere problem-solving; we're committed to reshaping the future of manufacturing. By seamlessly integrating advanced AI technology with deep industry expertise, Axion Ray is paving the way for smarter, safer, and more efficient production processes across diverse sectors.

Backed by leading investors, including Bessemer Venture Partners, Amplo, Boeing, and RTX Ventures, Axion Ray is poised to lead the quality revolution in manufacturing.


About the Role:

We’re looking for a Staff Software Engineer to help lead our agile, fast-moving backend teams. In this role, you’ll design and build scalable data pipelines, architect our data infrastructure, and ensure reliable data flow across systems to support analytics, product development, and business operations. You’ll collaborate closely with engineering, product, and analytics teams to define data models, optimize performance, and lay the groundwork for a modern, robust data stack. This is a high-impact opportunity to shape the company’s data strategy and make foundational decisions that will scale with us


Key Responsibilities:
  • Design and build data pipelines for large-scale data processing

  • Collaborate with data scientists and analysts to define data requirements

  • Manage cloud-based data infrastructure and deployment processes

  • Mentor other engineers and lead technical initiatives

Requirements:
  • 8+ years of production data engineering experience

  • Strong knowledge of data warehousing concepts

  • Hands-on experience with distributed architectures

  • Proficient with at least 1 cloud platform (AWS/GCP/Azure)

Bonus Points:
  • Machine learning pipeline experience

  • Stream processing and real-time analytics knowledge

  • Experience with a growing company

  • Experience working with aerospace or automotive companies


Who You Are:

You’re a builder and operator who thrives in fast-moving, high-accountability environments. You take pride in getting things done — thoughtfully, efficiently, and without drama. You’re energized by ambiguity, skilled at bringing clarity, and comfortable flexing between strategy and execution.

You value feedback — giving it, receiving it, and acting on it — and you see collaboration as a competitive advantage, not a burden. You’re low-ego but high-agency: you care about winning as a team more than being right individually. You move quickly, communicate directly, and make decisions grounded in impact and data.

You don’t need constant direction — you create momentum. You take ownership for outcomes, and you expect the same from those around you.


How We Operate:

We move fast, work smart, and hold ourselves to a high bar. Axion Ray isn’t a 9–5 — it’s a place for people who take pride in their craft and are motivated by meaningful work. We respect time off and boundaries, but we’re also realistic: hard problems sometimes require weekend pushes or late-night thinking sessions. We support that balance — intensity with respect for recharge.

We stay highly collaborative and connected throughout the day — much of our communication happens over Slack. We move quickly, share feedback often, and keep discussions open so decisions and context flow freely. If you value crisp communication, rapid iteration, and a steady hum of collaboration, you’ll fit right in.


We:
  • Collaborate deeply. Feedback is part of how we build — everyone has a voice, and ideas win on merit.

  • Leave ego at the door. Titles don’t define value; contribution does.

  • Bias toward action. We iterate fast and favor progress over perfection.

  • Communicate with clarity. Direct, transparent, and always in service of the mission.

  • Act like owners. Everyone is accountable for outcomes, not just tasks.

  • Sustain excellence. We push hard but don’t glorify burnout — we’re in this for the long game.

If you want to help shape a company redefining how manufacturing operates — and you thrive in a culture that rewards ownership, speed, and candor — you’ll feel at home here


What We Offer:
  • Work with cutting-edge AI technology making a tangible impact in manufacturing

  • Collaborative, mission-driven team and supportive leadership

  • Generous time off

  • Competitive compensation, equity, and benefits

  • Lunch stipend…. And much more


Ready to drive the future of manufacturing with AI? Apply today to join our team and help us build the category-defining platform for quality intelligence.
Axion Ray is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity, or any other factor protected by applicable federal, state, or local laws.

Top Skills

Azure)
Cloud Platforms (Aws
Data Warehousing
Distributed Architectures
GCP
Machine Learning Pipeline
Real-Time Analytics
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The Company
HQ: San Francisco, California
79 Employees
Year Founded: 2021

What We Do

AI platform & predictive digital thread for product integrity management.
Axion enables leaders to help their teams do what they do best: creative work.

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