• Support the design, development, deployment, and validation of mainframe-based integration services • Enable and support REST-based services on z/OS • Validate files and service artifacts in Mainframe UNIX/OMVS environments • Assist with troubleshooting and operational support across z/OS Connect and CICS platforms

Role Description BlackEdge Capital is hiring a Trading Strategy Software Engineer to join our technology team and build the systems at the heart of a high frequency, machine learning driven trading effort that operates at the nanosecond level. This is a focused, ambitious initiative at an early stage, which means real ownership and the chance to shape the systems and the codebase from the ground up. Members of our executive team are hands on in this work right now, so you will build alongside the people setting the firm's long-term technical and trading direction. You will own performance critical software in C++, co-design the hot path with our FPGA hardware engineers, and work shoulder to shoulder with researchers to move machine learning models from idea to live trading. This is a role for someone energized by sitting at the intersection of low-level systems, custom hardware, and applied research, where every nanosecond on the path from signal to order matters. - Design, build, and relentlessly optimize nanosecond level trading systems in C++, owning code from architecture through live production. - Partner closely with hardware engineers on FPGA integration, co-designing the software/hardware logic split and communication across that boundary. - Work directly with researchers to take machine learning signals from idea to development to production by integrating them into our automated trading system. - Keep the codebase clean: we favor a pragmatic, deliberately chosen subset of modern C++ that prioritizes simplicity, clarity, and maintainability. Qualifications - Strong command of modern C++ in performance critical systems, with the judgment to keep code simple and clear. - Deep understanding of operating system design, cache behavior, memory, and concurrency and how they can be tuned to extract performance. - A demonstrated ability to design and reason about latency critical software; you think in nanoseconds, not just milliseconds. - You enjoy working across boundaries and communicate well with people from diverse backgrounds and skills. Requirements - Hands on experience with FPGAs, HLS, or close software/hardware co-design. - Kernel bypass networking (ef_vi / OpenOnload, DPDK) and low-level network programming. - Exposure to machine learning, quantitative research, or production model deployment. - Familiarity with futures markets or market microstructure. Benefits - Compensation is highly competitive, with significant upside clearly and explicitly tied to firm profit and individual performance. - Our model is transparent: bonuses are a share of firm profit, and because your share scales with your performance, a strong year for you and the firm compounds. Company Description BlackEdge Capital is a proprietary options market maker built on industry leading technology and a deeply collaborative culture. We compete at the highest technical level in electronic markets, and we win by pairing exceptional engineering with incisive research. Everyone here is a genuine partner in the trading process, embedded in the strategy, close to the technology, and shaping the direction of the firm itself. We are Chicago based and support remote work. We value clarity and simplicity over cleverness for its own sake, tight feedback loops between trading, technology, and operations, and people who take ownership end to end. Interested? Send us your resume and a short note on where you see yourself contributing at BlackEdge. Humans review every submission. BlackEdge Capital is an equal opportunity employer. We evaluate candidates on the merit of their work and welcome applicants of every background.

• Own features from discovery to production: You will partner directly with the other teams to scope ideas, design architectures, and ship features. • Build and refine the gift card experience, from buying a card to redeeming it. • Develop the back-end that powers it: APIs, services, and data models. • Work on the partner side too, the B2B self-serve product and the embeddable widgets that let other companies plug Joy_ in. • Keep the codebase healthy, with shared components, design tokens, sensible tests, and an eye on performance and accessibility.

• Design and evolve scalable, reliable, and maintainable systems across frontend, backend, and data layers. • Lead architectural decisions, define engineering standards, and drive Architecture Decision Records (ADRs). • Own and deliver complex technical initiatives end-to-end, translating business goals into actionable technical roadmaps. • Mentor engineers and elevate technical excellence through mentoring, knowledge sharing, and best-practice development. • Champion AI-assisted engineering workflows and help teams leverage AI-first development practices. • Drive improvements in testing, CI/CD, observability, system reliability, and operational excellence. • Collaborate closely with Product, Design, Data, and Engineering leadership to influence strategy and deliver customer value. • Manage operational and technical dependencies with external vendors and partners, including platforms such as Google Workspace, domain providers, email services, and RankingCoach.