We are currently seeking a talented and driven Java Developer to join our team full-time. This is an exciting opportunity to contribute your skills and expertise to a venture backed funded fintech trading firm with emphasis in US equities capital markets tech based out of the New York City and in exchange we’ll provide you with base comp $125k-200k, full benefits, cash bonus, and equity.
Requirements:
- Electronic trading server-side software development experience
- Experience in Open Source technologies such as Aeron Transport, Aeron Cluster, Aeron Archive, Artio, Agrona, or CoinTossX is a big plus
- Experience with Adaptive Hydra trading platform is a plus
- Experience with US equities trading venues is a plus
Benefits:
- Flexible hybrid schedule to accommodate other commitments
- Collaborative and supportive team environment
- Relocation assistance to NYC Metro area
If you are passionate about Java development and interested in joining a fintech venture, we would love to hear from you. Please submit your resume if interested to agency@furtimmodus.com in this opportunity.
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
Open roles: - Sr./Staff Java Backend Engineer (Brazil/North America) - Staff GenAI Engineer - Staff Web SDK Engineer - Sr./Staff Machine learning Engineer - Full-Stack Engineer ~ AI Agent Platform - Sr./Staff Security Engineer - Product Manager - Fraud & AML Data Analyst Apply at: https://jobs.ashbyhq.com/oscilar?utm_source=HackerNews
We’re looking for software engineers to design and optimize high-performance trading systems that power our periodic auction matching infrastructure.
We build production systems in Rust and are looking for engineers with meaningful Rust, C++ or Java experience, particularly out of backend or systems-oriented environments.
This is a systems programming role focused on low-latency, high-throughput distributed computing. You’ll work across order and data workflows, auction execution, reliability, and performance optimization to ensure the platform is efficient, fault-tolerant, and capable of complex trade matching at scale.
We’re especially interested in engineers who:
Have built backend or systems-level software Are passionate about performance, concurrency, and correctness Are motivated by real-time, performance-sensitive systems Have experience with compilers, static analysis, or language tooling (a strong plus)
ESTIMATED COMPENSATION: Salary range: $150,000-$220,000 with eligibility for a discretionary annual bonus.
CONTACT: careers@onechronos.com - and please send your resume and include “Systems Engineer | HN” in the subject line.
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...
At FusionAuth, our mission is to make authentication and authorization simple and secure for every developer building web and mobile applications. We want devs to stop worrying about auth and focus on building something awesome.
There are a lot of companies in the auth space, but we feel like we have something special:
* a relatively unique deployment model (self-host on-prem, run in your cloud or let us operate it for you in ours)
* A well designed API first approach; one customer compared our APIs to petrichor
* a mature product (the code base is nine+ years old and we've found and fixed a lot of the sharp edges around core login use cases; but don't worry, there are plenty more features to add)
* our CTO is the founder and still writes code
* a full featured free-as-in-beer version which makes the sales cycle easier; prospects often come in having prototyped an integration
Our core software is commercial. We open source much of our supporting infrastructure. Technologies and standards that you will work with: modern Java, PostgreSQL, Docker, Kubernetes, MySQL, OAuth, SAML, OIDC.
Learn more, including benefits and salaries, and apply here: https://fusionauth.io/careers/ ( Click/tap the 'View open positions' orange button. )
Company: We're a small scientific software development company that develops custom scientific and engineering analysis applications in domains including: space situational awareness (monitoring the locations, health and status of on-orbit satellites), image simulation, high power microwave systems, modeling and simulation, laser systems modeling, AI/ML including physics-informed neural networks (PINN), human body thermoregulation, computer vision and image processing, high performance computing (HPC), computer aided design (CAD), and more. All exciting applications and no CRUD. We emphasize high quality code and lightweight processes that free software engineers to be productive.
Experience: Except for interns, we currently require a Bachelors degree in physics, engineering, math, computer science, or a related field. Masters or PhD is a plus. (Roughly 25% of our staff have PhDs.)
Technologies: Lots of C++23, Qt 6.9, CMake, git, OpenGL, CUDA, Boost, Jenkins. Windows and Linux, msvc/gcc/clang/clangcl. AI/ML and analysis projects use Python and C++. Web projects use Java and Typescript/React.
Apply online: at https://www.stellarscience.com/careers/.
Job description: https://job-boards.greenhouse.io/addepar1/jobs/8460804002 Reach out directly here: douglas.clifford@addepar.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.
We're hiring an AI Engineer to build and ship production AI systems - not research prototypes. Startup experience is a must: we want someone who has shipped fast in a small team, owned systems end-to-end, and is comfortable with ambiguity. Big-company-only resumes won't be a fit.
You will own: - RAG pipelines and agentic workflows (end-to-end accuracy) - GPU-optimized model deployment (Trident-style architecture) - Production MLOps: distillation, fine-tuning, training orchestration - Data modeling for AI persona capabilities - The infra around it: Docker, CI/CD, logging, monitoring, observability
You should have: - 3-12 years shipping AI/ML in production (notebooks do not count) - Time at a startup or scale-up where you owned what you built - Strong Python; bonus for C++/Java/C# in performance-critical paths - Hands-on with RAG, MLOps tooling, and GPU deployment at scale
W2 full-time. Must be authorized to work in the US. No remote, no C2C.
Apply: saikumar@engineeringsquare.us (subject: "AI Engineer - [Your Name]")