I'm Julien — I lead Product Engineering at Oaktree. My background is tech, not finance: startups, Meta, data infrastructure companies.
I'm hands-on and building a flat, small team that operates like an engineering org, not a bank IT department. If you come from a tech background, this post is for you.
We're building the next-generation platform for Oaktree's credit business (private credit included) — one of the largest and most complex investment strategies at a firm managing $220B+ in assets.
This is a newly formed Product Engineering group, and we're modernizing everything: practices, architecture, tooling, culture.
In the past month alone we've stood up a new CI/CD system, evolved the architecture, and gone from release cycles measured in months to hours. We're shipping rapidly and the pace is accelerating.
The work: data-intensive applications across the full stack of a credit investment platform — ingestion, transformation, analytics, and the tools that put insights into the hands of investment professionals. No traditional PMs — you work directly with business stakeholders, own priorities, and ship.
This is a hands-on, code-every-day role.
What we're looking for: - 10+ years building and owning data-intensive systems in production
-Strong CS fundamentals (data structures, distributed systems, concurrency, performance)
- Deep expertise in data modeling, pipeline architecture, and systems that process/transform/serve large volumes of data
- Python + at least one statically typed/compiled language (C#/.NET, C++, Java, Scala, Go)
- Cloud-native experience (our environment is Azure, but what matters is you've operated at scale)
- Comfortable with ambiguity, direct stakeholder engagement, and owning outcomes end-to-end
- Genuine interest in applying generative AI practically across engineering and product workflows
A note on title: the internal title is Vice President, which is standard in finance.
In substance this is a Senior/Staff Engineer IC role.
Locations: 1 role in Los Angeles (hybrid Tue-Thu, DTLA office) a 2 roles in Hyderabad, India.
Interview process: 0. recruiter screen
1. Behavioral + coding (30 min each, can be split or combined) 2. Onsite: system design take-home + panel, stakeholder meeting, hiring manager
please email me jubrown@oaktreecapital.com
We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world-class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.
SentiLink supports a variety of ways to work, ranging from fully remote to in-office. We operate as a digital-first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in-office by design. For example, our engineering team in India works primarily from our Gurugram office.
We’re a small, high-impact team solving one of the most interesting and adversarial problems in fintech: how do you build systems that reliably determine whether a real human is on the other side of a financial transaction?
We’re hiring across Engineering (Full-stack and Infra) and Data Science / ML roles. Hiring at Manager level as well as mid-level/Senior levels.
We’re language-agnostic and hire for fundamentals. Across the team you’ll see: • Python, Go, Rust, Scala • PostgreSQL, Snowflake • Kafka, Redis • Terraform, Kubernetes • ML: XGBoost, PyTorch, Feature stores, real-time scoring pipelines
If you love solving complex distributed systems challenges, building customer-facing ML products, or working on detection systems that must be both high-precision and low-latency, you’ll fit right in.
Roles are here: https://jobs.ashbyhq.com/sentilink?utm_source=hacker_news
If you have questions, feel free to reach out directly at liz.woodfield at sentilink dot com.
As a Forward Deployed Engineer, you’ll act as a technical ambassador for Adobe—splitting your time between: •Hands-on engineering (building AI-powered systems, APIs, and integrations) •Direct collaboration with customer engineering teams
The Stack: •Languages: Python, Java, Scala •ML/AI Frameworks: PyTorch, TensorFlow, JAX •LLM Systems: RAG pipelines, agents, prompt orchestration, evaluation frameworks •Cloud & DevOps: AWS, GCP, Azure, Docker, CI/CD, Git •MLOps / LLMOps: Evaluation pipelines, prompt/version management, feature flags, canary releases
What we’re looking for: We’re looking for a senior engineer (9+ years) with hands-on AI/ML and LLM experience who takes a build-first approach. You bring strong Python and cloud skills, experience with APIs, data analysis, and observability, and can take systems from prototype to production. You understand modern AI architectures (RAG, agents, evaluation), have a track record of shipping and iterating in real-world environments, and can turn data into action. You’re also a strong communicator who can work directly with customers, guide implementations, and drive measurable impact.
Comp: $208,300 - $301,600 base + Equity + Adobe’s notoriously good benefits.
How to Apply: Email me directly at skatkar@adobe.com with "HN: [Your Name]" in the subject line.
Official Link: https://careers.adobe.com/us/en/job/ADOBUSR163356EXTERNALENU...
- 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
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.
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.
We're looking to build our in-person team in NYC but also open to remote!
Apply: https://starbridge.ai/careers and mention HackerNews or email recruiting@starbridge.ai with your resume.