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Role details
Tech stack
Requirements
- A track record of technical leadership at scale, ideally with Staff/Principal-level experience (or Senior engineers clearly operating at that level)
- Strong systems thinking - you can zoom out to architecture and zoom into a gnarly bug with equal ease
- Excellent communication; you can influence without relying on authority
- A bias toward pragmatic solutions over perfect ones
- Genuine curiosity and a track record of continuous learning, * A collaborative team culture built on curiosity and respect
- Challenging work where your contributions clearly matter
- A leadership team that invests in learning and development
- The opportunity to work at the intersection of cloud, data, and AI innovation, If this role sounds like a great fit - or even close to one - weâd love to hear from you. We know that no candidate checks every single box, and weâre excited to meet people who bring curiosity, talent, and a desire to build meaningful work together.
Benefits & conditions
Lead technical direction across domains, solve ambiguous systems problems, improve architecture and operational rigor, mentor senior engineers, partner with product and leadership on roadmap and strategy, and write code for high-impact tasks. The summary above was generated by AI About Nexus
About the company
You donât have an AI story if you donât have your data story. Thatâs where NexusOne comes in.
Weâre the converged data platform for the AI era - composable by design, built on an open-source foundation, and AI-native from the ground up. One identity, one governance envelope, one operational layer across every mainframe, data lake, warehouse, and streaming system in the business. For the first time, enterprises can bring their existing stack along instead of rebuilding it - and still give AI agents full context across the estate.
What we stand for is simple: sovereign data, interoperable systems, decoupled intelligence - delivered the way modern software should be. No rip-and-replace. No multi-year transformation. Our CEO Anu Jain puts it well: we turn the âball of yarnâ of data integrations into a unified engine - less like assembling car parts, more like buying the car ready to drive. 85+ open-source tools pre-integrated. AI-native automations that deploy and self-heal the stack without human toil. Forward-deployed engineers who build shoulder-to-shoulder with customer teams - hands on keyboards, not just on decks.
Itâs working, and fast. Weâre tripling revenue year over year, backed by Insight Partners, and running in production in environments most vendors wonât touch. Our platform processes credit risk data for 90%+ of US small businesses - 40M+ - every month. Intent signals for 300M+ subscribers monthly for Africaâs largest telco. The data and AI layer for a Top 3 US bank.
Weâre 100+ people across the US and India, headquartered in Atlanta. We think big, move fast, and donât mistake activity for progress. We hire people whoâd rather ship the rocket than brief someone on it.
Check out this podcast of Anu talking about our solution here: https://www.youtube.com/watch?v=g8g50sv5GhQ
Weâre always open to connecting with strong Staff-level engineers, even when we donât have an active opening. If youâre the kind of engineer who other engineers go to when things get hard - and youâre simply keeping an eye out for whatâs next - weâd like to know you exist.
What this role tends to look like:
- Setting technical direction across a domain or set of teams, not just a single codebase
- Diving into the hardest, most ambiguous problems and driving them to a clean solution
- Raising the bar on engineering practices - architecture, code quality, testing, operational rigor
- Mentoring senior engineers and helping them grow into the next stage of their careers
- Partnering closely with product and engineering leadership to shape roadmaps and technical strategy
- Writing code when it matters, and knowing when not to
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