Fold is a publicly listed bitcoin financial services company building the tools people need to earn, buy, sell and live on Bitcoin. We're looking for a Senior BE Engineer to help build the financial infrastructure behind our products - payment processing, ledger systems, card transaction flows and event-driven pipelines.
- 5+ years software engineering experience - Strong in: Java or similar (Kotlin, Scala, C#) - Experience with: production microservices, distributed systems - Familiar with: messaging/event streaming (Kafka, Pulsar) - Solid relational database and data modeling skills - Nice-to-have: fintech, payments, ledger/accounting domains - Nice-to-have: event-driven architectures, CQRS, event sourcing - Nice-to-have: Micronaut, Quarkus or similar modern Java frameworks - US residency (regulatory requirement) Benefits: - Competitive salary + equity - 401k with 3% match - Unlimited PTO + yearly vacation stipend - Full health/dental/vision - Paid parental leave - Regular team meetups - Bitcoin starter pack (hw wallet included)Email tiffany.sawhney (a) foldapp.com if you have questions or apply here: https://ats.rippling.com/fold-inc/jobs/514ba20e-a93e-4960-ad... [0] https://foldapp.com
We're Exeon - a Swiss cybersecurity company out of Zürich that uses AI/ML to detect sophisticated network attacks that conventional tools miss. Think NDR (Network Detection & Response), but actually smart.
What you'd actually be doing:
- Owning architectural decisions for new features and legacy refactors
- Mentoring backend teammates (we're growing)
- Contributing to both the backend and the GUI layer
- Working closely with a genuinely international team
What we're looking for:
- 8+ years of software engineering experience
- Strong Scala skills with a taste for architectural thinking
- You know when to refactor and when to ship
- Comfortable with tests (unit + integration) as part of normal coding, not an afterthought
- Fluent English; German is a bonus
Apply here https://exeon.recruitee.com/o/senior-backend-developer-scala...
Edit: formatting
- Radar is the geo-location dev tool
- Doing 1B+ API calls per day
- Our main languages are Rust and TypeScript, we also use mobile and offline pipeline languages (Python, Scala, and Terraform).
- We're based in NYC with our HQ in Union Square and remote friendly (US)
Interesting things we're working on:
- HorizonDB, our Geospatial database written in Rust
- Precise indoor location more accurate than iOS and Android leveraging Ultra-Wideband, other mobile sensors and ML.
- Anomaly detection to identify spoofed locations
- Mobile infrastructure that automatically configures itself optimizing battery-life and location accuracy for different use-cases over time
- Multi-Region AWS K8s deployment, 99.99%+ availability
- Frontend tools to visualize and debug location data at scale
Check out our jobs page here: https://radar.com/jobs#jobs If you have any questions, feel free to reply here or you can e-mail me at tim@radar.com
[starbridge.ai](https://www.google.com/url?q=http://starbridge.ai&sa=D&sourc...)
Starbridge is building an AI platform that turns large-scale public and enterprise data into reliable sales insights. We are early, moving fast, and building from zero to one, so this role will have huge ownership and product impact.
Product Engineer: (React/Typescript) who would work closely with product and design to build user-facing parts of the platform. You will craft performant, stable frontends that explain technical concepts to non-technical users and help us iterate fast based on customer feedback.
AI Engineer: Applied AI plus strong software engineering. You will build, evaluate, and deploy LLM-driven features like deep document analysis and interactive chat, working with models from OpenAI, Anthropic, and Gemini. Expect hands-on Python, ML system design, experimentation, and production reliability. Bonus for RAG depth and frameworks like LangChain, LlamaIndex, or Hugging Face.
Backend Engineer: (looking for Kotlin/Java/Scala experience). You'll work across the backend: building enterprise integrations, large-scale scraping and parsing pipelines, and systems that let users apply LLMs to millions of documents to generate insights at scale.
We're looking to build our in-person team in NYC but also open to remote!
Apply: [https://starbridge.ai/careers](https://www.google.com/url?q=https://starbridge.ai/careers&s...) and mention HackerNews or email [recruiting@starbridge.ai](mailto:recruiting@starbridge.ai) with your resume.