Software Engineer - Data Engine
DeepJudge is hiring a Software Engineer - Data Engine for a remote role open to applicants in Switzerland. Level rates it ; you can apply on DeepJudge.
Level's read on this job
- Builds AI ●●●● is how Level rates this software engineer role: the job is building AI systems.
- The posting lists this role as remote.
- Tools and skills the posting cites include Distributed Systems, Storage Systems and Data Processing.
- Level lists 19 other open roles at DeepJudge.
- The role was posted in the last few days.
AI in this role
Build and operate core data infrastructure and stateful backend systems for an enterprise legal AI platform.
About us:
Founded by former Google search engineers with PhDs in AI from ETH Zurich, DeepJudge helps legal teams unlock and apply the knowledge inside their organizations through world-class enterprise search and AI infrastructure – enabling them to automate workflows, build knowledge-powered applications, and turn institutional knowledge into a lasting advantage.
Every organization can license the same AI models, but no two organizations share the same institutional knowledge. Decades of experience, work product, and precedent are often fragmented across systems, underused, and inaccessible. DeepJudge makes this expertise instantly available and actionable – helping legal teams find the right information faster, surface relevant knowledge, and apply it where it matters most.
Our platform is trusted by many of the world’s leading law firms and legal teams, including Holland & Knight, Gunderson Dettmer, Cozen O’Connor, ArentFox Schiff, CMS Switzerland, Schoenherr, and others.
Headquartered in Switzerland with a growing team across North America and Europe, DeepJudge is shaping the future of how professional knowledge is discovered and applied.
At DeepJudge, we move with urgency, think rigorously, and work closely with our clients to build products that solve meaningful problems. If you want to help define how AI transforms professional knowledge work, we’d love to hear from you.
About the role:
We’re hiring engineers for a greenfield project. Fundamental implementation decisions are still open. You’ll help make those decisions, test ideas, and build and operate the resulting systems in production.
We’re looking for engineers with experience building stateful backend systems. Experience with storage systems, distributed execution, or data processing infrastructure would be particularly relevant. You should be comfortable investigating unfamiliar problems, questioning assumptions, and making technical decisions with incomplete information.
What you’ll do:
Taking end-to-end ownership of core components of our new data platform, from design to running in production
Write reliable, production-grade software and help set high engineering standards for a growing system
You're a great fit if you:
Have strong fundamentals and can think from first principles, turning rough ideas into well-designed abstractions
Have experience shipping and operating backend systems while paying careful attention to correctness, reliability, and performance
Have experience working with databases (SQL and/or NoSQL) and a solid understanding of how they work
Want real ownership and are energised, not slowed down, by ambiguity
(Nice to have) Have experience with data engineering or big data technologies
(Nice to have) Have experience working with or building stateful infrastructure, such as job schedulers, workflow engines, or data processing systems
(Nice to have) Have experience evaluating and optimizing large LLM workloads for quality and cost.
(Nice to have) Have startup experience or open-source contributions
What you can look forward to:
Co-Ownership of a core platform
Hard, meaningful engineering problems across orchestration, storage, and distributed systems
Room to grow with the platform – as it scales, so does your scope
Location: Office 5min walking distance from Zurich central station, where we primarily work on site
At DeepJudge, we believe great teams are built on diverse perspectives and experiences. We are proud to be an equal opportunity employer and are committed to fostering an inclusive, high-performance culture where everyone can thrive. We welcome applicants of all backgrounds and do not discriminate based on race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, disability, veteran status, or any other characteristic protected by law.
If this role excites you, but you feel you don’t meet every qualification, we encourage you to apply anyway and tell us why you’d be a great fit.
How we rate this
Software Engineer - Data Engine at DeepJudge rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- Typical software engineer job
- $167k
This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs
Questions you could be asked
- Tell me about a project where backend was part of your work. What did you do?
- Tell me about a project where software engineering was part of your work. What did you do?
- Tell me about a project where data platforms was part of your work. What did you do?
- What's a project where you used Distributed Systems hands-on?
- Walk me through how you've used Storage Systems in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Backend, Software Engineering, Data Platforms, Distributed Systems, and Storage Systems. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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