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Description

STS Engineering Solutions is hiring Aircraft Power Plant Engineers for remote contract opportunities in the United States. These 1099 contractor roles provide on-call engineering support for aircraft powerplant maintenance operations, with coverage needed for afternoon shifts, midnight shifts, Monday through Friday and 24-hour weekend support. This role is designed for experienced aviation engineers with strong powerplant knowledge, commercial airline support experience and the ability to provide timely technical guidance for line maintenance, heavy maintenance, MRO support and Aircraft-On-Ground events. Position Summary The Aircraft Power Plant Engineer supports continued airworthiness by helping ensure compliance with regulatory and company requirements. This position provides daily engineering support to customers and plays a key role in resolving aircraft powerplant maintenance, repair and operational issues. STS Engineering Solutions is seeking one or more engineers for remote, on-call support. The ideal candidate will have an extensive background providing engineering technical support for aircraft maintenance operations and the ability to serve as a subject matter expert in powerplant engineering support. Schedule and Work Arrangement Remote position in the United States 1099 contractor opportunity Temporary contract role On-call support for afternoon and midnight shifts, Monday through Friday 24-hour coverage support on weekends Travel may be required Job Responsibilities Support aircraft line maintenance, heavy maintenance and modification of Airbus powerplants Provide engineering assistance to Line Maintenance and MRO teams to support aircraft operations, repairs and maintenance Coordinate with Original Equipment Manufacturers and Designated Engineering Representatives as required to facilitate approved powerplant repairs Develop detailed work instructions and engineering drawings to accomplish minor and major powerplant repairs Develop engineering orders to accomplish modifications and alterations Provide Aircraft-On-Ground support for powerplant installations Develop engineering procedures, standards and process specifications to comply with manufacturer and vendor Service Bulletins, Airworthiness Directives and other FAA requirements Determine corrective actions or required investigations when trends indicate a deviation of engine parameters Investigate and submit recommended troubleshooting actions to Maintenance and Quality Control Support additional responsibilities as assigned Required Qualifications Bachelor of Science Degree in Engineering from an ABET-accredited college or university Previous powerplant engineering experience within the aviation industry, with an emphasis on commercial airline support Knowledge and understanding of Original Equipment Manufacturer and Type Certificate Holder technical manuals Ability to read, write and speak English fluently Ability to sit and work at a computer for up to 10 hours per day Strong computer skills with Microsoft Office, including Excel and Word, at an intermediate level or higher Able and willing to travel as required High performer with a focus on both quality and quantity Willingness to comply with Non-Disclosure Agreements and confidentiality policies Preferred Qualifications Experience with LEAP-1A, V2500 and/or PW1000G aircraft engines Experience with Honeywell 131-9 APUs FAA Airframe and/or Powerplant licenses Hands-on engine maintenance experience is a plus Highly developed interpersonal, organizational and communication skills Experience using data management applications Experience using TRAX, AMOS, Microsoft SharePoint, Teams and OneDrive is highly preferred About STS Engineering Solutions STS Engineering Solutions provides aerospace engineering support backed by more than 200 years of combined industry experience. Our team augments aircraft operations with multi-disciplined experts and immediate access to FAA / DER services. As part of STS Aviation Group, STS Engineering Solutions delivers practical engineering support for operators, maintainers and aviation partners that require responsive technical expertise. Authorization Candidates must be legally authorized to work in the United States. Apply Now If you have aircraft powerplant engineering experience and are ready to support commercial airline maintenance operations in a remote, on-call contract role, apply today with STS Engineering Solutions. #IndeedAM

Requirements

• RN
• DO
• PA
• MPH

Description

<p><strong>Role: Software Engineer </strong></p><p><strong>Location: New York City | Monday–Thursday in office, Friday WFH</strong></p><p><strong>Salary: $150K–$250K base + equity</strong></p><p><br /></p><p>I’m working with an early-stage NYC startup looking for an experienced Software Engineer to join a small, high-performing engineering team.</p><p><br /></p><p>This isn’t a role where you’ll join a large engineering organisation and spend your time picking up predefined tickets.</p><p><br /></p><p>They’re looking for engineers who have operated in flat, highly autonomous environments, where you’re trusted to understand the problem, decide how to solve it and then take ownership of building and shipping the solution.</p><p><br /></p><p><strong>The opportunity</strong></p><p><br /></p><p>You’ll be joining at a stage where individual engineers can have a genuine impact on the product and technical direction of the business.</p><p><br /></p><p>The team operates with very little hierarchy and a high level of ownership. You’ll work closely with other engineers and the wider business, contributing to both what gets built and how it gets built.</p><p><br /></p><p>A major part of the role is 0→1 engineering.</p><p><br /></p><p>You’ll be tackling problems where there may not be an existing solution, established architecture or perfectly defined roadmap.</p><p><br /></p><p><strong>You could be:</strong></p><ul><li>Designing and building new products and features from scratch</li><li>Taking products from concept through to production</li><li>Making key architectural and technical decisions</li><li>Solving ambiguous technical and product problems</li><li>Owning projects end-to-end</li><li>Shipping quickly and iterating based on real-world feedback</li><li>Improving the architecture as the product and customer base scales</li><li>Helping establish engineering standards and best practices</li><li>Working directly with the wider team rather than through layers of management</li></ul><p><br /></p><p><strong>Tech stack</strong></p><ul><li>Python / TypeScript</li><li>React / Next.js</li><li>Node.js</li><li>PostgreSQL</li><li>AWS</li><li>Docker / Kubernetes</li><li>Modern cloud infrastructure and CI/CD tooling</li><li>GO (desirable)</li></ul><p><br /></p><p>You don't necessarily need to have worked with every technology in the stack.</p><p><br /></p><p>They’re much more interested in finding strong engineers who can learn quickly, make good technical decisions and take complete ownership of what they build.</p><p><br /></p><p>What they’re looking for</p><p><br /></p><p>The biggest requirement is having already demonstrated that you can operate with autonomy in an early-stage environment.</p><p><br /></p><p>Ideally, you’ll have:</p><p><br /></p><ul><li>Strong commercial Software Engineering experience</li><li>Previous early-stage startup experience</li><li>A track record of building products or major features 0→1</li><li>Experience working within a flat organisational structure</li><li>Strong backend and/or full-stack engineering skills</li><li>Experience designing scalable production systems</li><li>The ability to own projects from initial idea through to deployment</li><li>Strong product thinking alongside technical ability</li><li>Confidence making technical decisions without excessive oversight</li><li>Experience working through ambiguity and finding solutions independently</li><li>A bias towards building, shipping and iterating</li><li>The ability to move quickly without sacrificing engineering quality</li></ul><p><br /></p><p>This is particularly suited to someone who has previously been an early or founding engineer, or has worked in a startup environment where engineers are expected to take significantly more ownership than they would in a traditional engineering organisation.</p><p><br /></p><p><strong>Interested?</strong></p><p><br /></p><p>If you’re a Software Engineer in NYC who has built 0→1, thrives with autonomy and wants genuine ownership over what you build, please apply with an up to date resume.</p>

Requirements

• RN
• DO
• PA

Description

<em>Software Engineer / Sr. Software Engineer</em><p><strong>Atomic</strong><span> · NYC, Boston, Austin, or Reno; remote positions also available</span></p><p><br /></p><span>The Company</span><p><span>Most companies still plan their supply chains (quantities, mix, allocations, timing, etc.) in spreadsheets or legacy software.</span></p><p><span>Atomic is rebuilding the brain behind the American supply chain. By tackling operations optimization from first principles with an AI-native stack, we’re able to deliver unprecedented results at a breakneck speed for our customers.</span></p><p><span>We’re looking for first-principles thinkers who want to write code that drives the physical world.</span></p><p><br /></p><span>The Role</span><p><span>All of our software engineers work on the core Atomic planning platform and on customizations for customers. We are hiring for both full-stack engineers and for the following specialties:</span></p><ul><li><strong>Data Engineering</strong><span>: build automated, efficient, normalized pipelines on top of messy real-world supply chain data to feed into our models</span></li><li><strong>Back End Engineers: </strong><span>building optimization logic and complex models that are the core of the product (data science and machine learning experience is a plus)</span></li><li><strong>Front End Engineers: creating UI’s, reporting apps, etc. for our customers</strong></li><li><strong>Infrastructure Engineers: building massively scalable AWS / custom infrastructure to solve complex problems rapidly</strong></li><li><strong>AI Engineers: integrating AI models into our application to optimize plans, deploy customizations rapidly, and help customers interact with plans in real time<br /></strong></li></ul><span>You</span><ul><li><span>Experience: 3+ years for SWE, 6+ years for Sr. SWE</span></li><li><span>Ability to envision complex architecture and then execute rapidly and cleanly with AI</span></li><li><span>Extreme comfort using AI development tools while enforcing strict coding standards</span></li><li><span>Experience making software for supply chain/physical goods applications is a plus</span></li><li><span>Comfort in a fast paced startup environment</span></li></ul><p><br /></p><p><span>Atomic is an equal opportunity employer.</span></p><p><br /></p>

Requirements

• RN
• NP
• PA

Benefits

• Vision

Description

<p>Software Engineer – Financial Systems</p><p><strong>Location:</strong> New York City, NY | 4 days/week on-site</p><p><strong>Openings:</strong> 2</p><p><br /></p><p><strong>About eNGINE</strong></p><p>eNGINE builds Technical Teams. We are a Solutions and Placement firm shaped by decades of interaction with Technical professionals. Our inspiration is continuous learning and engagement with the markets we serve, the talent we represent, and the teams we build. Our Consulting Workforce is encouraged to enjoy career fulfillment in the form of challenging projects, schedule flexibility, and paid training/certifications. Successful outcomes start and finish with eNGINE.</p><p><br /></p><p><strong>Role Overview</strong></p><p>eNGINE is seeking two Software Engineers to help design, build, and deliver modern financial systems. This is an opportunity for experienced engineers who enjoy solving complex business problems, building applications from the ground up, and taking ownership of solutions from initial design through production.</p><p><br /></p><p>The ideal candidates bring a strong foundation in Java, Python, and Spring Boot, experience delivering production-ready applications, and an interest in using modern AI-powered development tools to improve engineering efficiency. You'll work across the technology stack, collaborate closely with product and engineering teams, and contribute to reliable, scalable systems that support financial services.</p><p><br /></p><p><strong>What You'll Do</strong></p><ul><li>Design, develop, and maintain financial applications using Java, Python, Spring Boot, and related technologies.</li><li>Take ownership of the software development lifecycle, from technical design and implementation through deployment and production support.</li><li>Build scalable, maintainable, and reliable systems that meet business requirements and support evolving financial services needs.</li><li>Leverage AI-assisted development tools such as ChatGPT, Claude, Cursor, or Windsurf to accelerate coding, testing, troubleshooting, and problem-solving.</li><li>Evaluate new development tools and automation opportunities to improve engineering workflows and delivery outcomes.</li><li>Contribute to application architecture and technical decisions that support long-term performance, maintainability, and scalability.</li><li>Integrate APIs and external services to deliver functionality across interconnected applications and platforms.</li><li>Collaborate with product managers and fellow engineers to translate business needs into practical technical solutions.</li><li>Participate in sprint planning, backlog refinement, code reviews, and continuous delivery practices.</li><li>Share technical knowledge and development techniques with teammates to strengthen collaboration and improve team effectiveness.</li></ul><p><br /></p><p><strong>What You Bring</strong></p><ul><li>6+ years of professional software engineering experience.</li><li>Experience working within the financial services industry.</li><li>Strong hands-on development skills with Java, C#, or Python, and Spring Boot.</li><li>A proven ability to take applications from initial concept through production deployment.</li><li>Experience building and supporting scalable applications using modern software architecture and development practices.</li><li>Comfort working across multiple layers of the technology stack and adapting to different technical challenges.</li><li>Practical experience using AI-assisted development tools to improve productivity, code quality, or problem-solving.</li><li>Strong analytical and troubleshooting skills, with the ability to break down complex requirements into effective solutions.</li><li>An interest in continuous learning and finding better ways to design, build, test, and deliver software.</li></ul><p><br /></p><p><strong>Preferred Experience</strong></p><ul><li>Experience integrating AI, machine learning, or large language model capabilities into software applications.</li><li>Familiarity with cloud platforms such as AWS or Azure.</li><li>Exposure to CI/CD pipelines, DevOps practices, and development automation.</li><li>Experience working in fast-paced engineering environments with an emphasis on ownership and delivery.</li><li>Experience building systems that support financial workflows, transactions, or other business-critical operations.</li></ul><p><br /></p><p><strong>Next Steps</strong></p><p>No C2C, relocation, referral, or sponsorship candidates for this role. For finer details on how eNGINE can impact your career, apply today!</p>

Requirements

• RN
• DO
• PA
• MPH

Benefits

• Training

Description

<p>Quant Developer / Software Engineer – C++</p><p><br /></p><p><strong>New York</strong></p><p><br /></p><p>Radley James is working with leading quantitative trading firms looking to hire experienced C++ Quant Developers and Software Engineers in New York. These opportunities sit within front-office trading and quantitative technology teams, working closely with traders and quantitative researchers to build high-performance systems supporting systematic trading across equities and ETFs.</p><p><br /></p><p>The roles cover the full trading lifecycle, from market data and research infrastructure through simulation, pricing and execution, with engineers taking significant ownership of systems from initial design through to production.</p><p><br /></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and develop high-performance, production-quality trading systems in C++.</li><li>Work closely with traders and quantitative researchers to translate trading ideas into production technology.</li><li>Build and optimise systems across market data, pricing, simulation, order routing and execution.</li><li>Develop infrastructure supporting systematic and automated trading strategies.</li><li>Optimise systems for latency, throughput and reliability.</li><li>Take ownership of projects throughout the full engineering lifecycle.</li><li>Contribute to technical architecture and the continued development of the wider trading platform.</li></ul><p><br /></p><p><strong>Requirements</strong></p><ul><li>5–10 years of professional C++ development experience.</li><li>Excellent understanding of computer science fundamentals, including algorithms, data structures, concurrency, memory management and operating systems.</li><li>Experience building performance-critical, real-time or high-throughput systems.</li><li>Strong understanding of multithreading and performance optimisation.</li><li>Experience developing robust production software in a Linux environment.</li><li>Strong problem-solving skills and ability to work closely with technical and business stakeholders.</li></ul><p><br /></p><p><strong>Nice-To-Have Experience</strong></p><ul><li>Quantitative trading, electronic trading or broader financial markets experience.</li><li>Equities and/or ETFs experience.</li><li>Market data, order routing, execution or exchange connectivity.</li><li>Low-latency or high-frequency trading systems.</li><li>Pricing, research or simulation frameworks.</li><li>Python alongside C++.</li></ul><p><br /></p><p>Prior financial markets experience is not essential for all opportunities, and strong C++ engineers from other performance-critical environments are encouraged to apply. The underlying requirements place particular emphasis on strong computer science fundamentals, performance-critical C++ and Linux engineering.</p><p><br /></p><p>If you're an experienced C++ Engineer or Quant Developer interested in working on high-performance trading technology in New York, please apply or reach out to discuss further.</p><p><br /></p>

Requirements

• PA
• MPH

Description

<p><strong>Software Engineer, High Growth Start-UP, AI Platform (Python / LLM Agents)</strong></p><p><strong>New York City</strong></p><p><br /></p><p>I'm working with a well-funded AI platform company in Manhattan, founded by early engineers from some of the best-known data infrastructure companies in the market. Large enterprises use their product to let non-engineers build production apps on their own company data, with IT keeping full control of access and audit.</p><p>They're growing a small, senior engineering team and are looking for a Software Engineer to work on the AI agent at the core of the product.</p><p><br /></p><p><strong>The Role</strong></p><p>You'll join a team of experienced engineers who have built widely used open-source data tools, and you'll own real parts of the platform from day one. This is hands-on work on an agent that writes, runs, debugs and tests code for enterprise customers.</p><p><br /></p><p><strong>Typical work includes:</strong></p><ul><li>Building the AI coding agent that generates, runs and debugs application code</li><li>Developing the agent's memory layer so it learns each customer's schema, APIs and systems</li><li>Working on sandboxing and code isolation so generated code runs safely</li><li>Designing backend services and data models behind the platform</li><li>Improving how the agent tests and QAs the apps it builds</li></ul><p><br /></p><p><strong>Tech Stack</strong></p><p>Python, LLM APIs, agent orchestration frameworks, PostgreSQL, distributed backend services, modern cloud infrastructure.</p><p><br /></p><p><strong>What they're looking for</strong></p><ul><li>3+ years of software engineering experience</li><li>Hands-on experience building agentic AI systems or LLM applications in production</li><li>Strong backend engineering and database design skills in Python</li><li>Background at a high-growth startup or infrastructure company is beneficial</li><li>Experience with security, sandboxing or distributed systems is a plus</li></ul><p><br /></p><p><strong>The Opportunity</strong></p><ul><li>Work on the core AI agent at a well-funded company with serious enterprise customers</li><li>Join a small, senior team early, with real ownership over what you build</li><li>$200,000 to $240,000 base plus equity</li><li>H1B transfers, OPT and TN are supported</li></ul><p><br /></p><p>If you'd like to hear more about the role and the company behind it, feel free to apply or reach out directly on [email protected]</p>

Requirements

• RN
• PA

Description

<p><strong>About Swish Labs</strong></p><p>Swish Labs is building the AI-native infrastructure for modern mortgage lending.</p><p>We’re creating a unified platform that replaces fragmented software, manual workflows, and disconnected systems with intelligent automation—helping lenders originate loans faster, operate more efficiently, and deliver a more transparent experience for homeowners.</p><p>We’re a small, highly collaborative team, which means engineers at Swish Labs have meaningful ownership. You won’t just execute tickets—you’ll help shape the product, architecture, and technical decisions behind the platform.</p><p><br /></p><p><strong>The Role</strong></p><p>We’re looking for a Senior Backend Engineer to help build the core infrastructure powering our mortgage platform.</p><p>You’ll design, build, and maintain backend systems that support the lifecycle of a mortgage—from application and verification through underwriting, decisioning, and funding.</p><p>You’ll work closely with product, design, and engineering leadership to solve complex problems in a highly regulated and data-intensive industry.</p><p>As an early member of the engineering team, you’ll also play an important role in establishing engineering standards, improving system reliability, influencing technical direction, and mentoring future engineers.</p><p><br /></p><p><strong>What You’ll Work On</strong></p><ul><li>Design and build scalable backend services in Go that power complex, data-intensive loan workflows</li><li>Develop APIs and integrations with credit bureaus, verification providers, document systems, pricing engines, and other mortgage infrastructure</li><li>Build automation and decisioning systems that transform AI and model outputs into reliable, explainable workflows</li><li>Design systems with strong auditability, data integrity, security, and regulatory requirements in mind</li><li>Improve platform performance, observability, testing, and production reliability</li><li>Help define technical architecture and engineering best practices as the platform scales</li><li>Collaborate directly with product and design to turn complex mortgage workflows into simple, reliable software</li><li>Review code, mentor engineers, and help build a strong engineering culture</li></ul><p><br /></p><p><strong>What We’re Looking For</strong></p><ul><li>6+ years of professional software engineering experience, with significant ownership of production systems</li><li>Strong backend engineering experience, including API design, distributed systems, relational databases, and system architecture</li><li>Experience building scalable, reliable, production-grade applications</li><li>Experience with cloud infrastructure, containerized applications, and modern deployment environments</li><li>Strong understanding of system performance, failure modes, monitoring, and observability</li><li>A high standard for correctness, testing, auditability, and maintainable code</li><li>Strong technical judgment and the ability to communicate tradeoffs clearly</li><li>Comfortable working in a fast-moving startup environment with a high degree of ownership and autonomy</li></ul><p><br /></p><p><strong>Strong Plus</strong></p><ul><li>Experience in mortgage, lending, fintech, banking, or another regulated industry</li><li>Experience working with Go in production</li><li>Experience building workflow, decisioning, automation, or AI-enabled systems</li><li>Experience integrating with third-party APIs and complex external data providers</li><li>Experience at an early-stage or high-growth technology company</li></ul><p><br /></p><p>A computer science degree is not required. We care more about what you’ve built, how you think, and the level of ownership you’ve demonstrated.</p><p><br /></p><p><strong>Why Swish Labs</strong></p><p>This is an opportunity to join early and help build foundational technology for an industry that still relies heavily on fragmented systems and manual processes.</p><p>You’ll have meaningful influence over the product and architecture, work directly with the founding team, and build software that impacts how real loans move through the mortgage ecosystem.</p><p><br /></p>

Requirements

• RN
• DO
• PA

Description

<p><strong>Software Engineer (python)</strong></p><p><strong>World Leading Hedge Fund</strong></p><p><strong>Location:</strong> New York - on-site - full time</p><p><strong>Salary range: </strong>$350,000 - $850,000 total comp</p><p><strong>Visa sponsorship:</strong> Yes - to those on an existing US visa or those who would qualify for a TN visa.</p><p><br /></p><p>We're partnering with one of the world's most prestigious hedge funds, whose technology organisation is responsible for some of the most sophisticated engineering platforms and trading infrastructure in the industry. As the firm continues to grow its New York presence, they're looking to hire exceptional Software Engineers into their central engineering team.</p><p><br /></p><p>You'll be working on the design and development of high-performance infrastructure and distributed systems that sit at the core of the firm's global trading operations. The problems are technically challenging and operate at significant scale, with improvements to latency, performance, reliability and scalability having a tangible impact across the business.</p><p><br /></p><p>The team is particularly interested in engineers who have developed their skills in highly technical, performance-driven environments - whether within leading technology companies, high-growth startups or investment firms. You'll join a culture built around technical excellence, autonomy and genuine ownership, working alongside an exceptionally strong group of engineers.</p><p><br /></p><p><strong>What we're looking for:</strong></p><ul><li>Bachelor's degree or above in Computer Science, Mathematics or another highly quantitative discipline, supported by a strong academic record.</li><li>3–7 years of commercial software engineering experience, with deep proficiency in Python and/or C++ and experience building high-performance, low-latency or otherwise performance-critical systems.</li><li>Strong computer science / engineering fundamentals, including algorithms, data structures, concurrency and systems performance.</li><li>Clear evidence of progression, continuous technical development and increasing levels of responsibility throughout your career.</li><li>Outstanding problem-solving skills, alongside the autonomy and judgement to operate effectively in a fast-moving, technically demanding environment.</li><li>Excellent communication skills.</li></ul><p><br /></p><p><strong>Experience that could be particularly relevant:</strong></p><ul><li>Engineering experience within high-growth, technically ambitious startup environments.</li><li>Experience as a Founding Engineer, technical Co-Founder or early engineering hire, with meaningful responsibility for building products and systems from the ground up.</li><li>A strong track record of ownership, whether through 0-1 product development, platform builds or leading the delivery of complex engineering initiatives.</li><li>Hands-on experience improving the performance, scalability or latency characteristics of production systems.</li></ul><p><br /></p><p>This is an opportunity to tackle genuinely difficult engineering problems within an environment where technology is central to the firm's success and exceptional engineering is highly valued.</p><p><br /></p><p>If this sounds like the kind of technical challenge and environment in which you'd thrive, please apply via this job advertisement.</p>

Requirements

• PA

Description

<p><strong>Lead Software Engineer (Staff Level) | AI Products &amp; Platform</strong></p><p>I’m partnering with a global technology company investing heavily in AI products for tax, accounting, and audit professionals. This team is building tools that help professionals work through complex documents, find relevant evidence, and complete high-stakes client work with greater speed and confidence.</p><p>It’s a small, senior team with the pace and ownership of a startup, access to a large customer base, and the resources to build for real production scale. They’re looking for a <strong>hands-on Staff Engineer</strong> to shape the platform behind these products while continuing to write production code.</p><p><br /></p><p><strong>What you’ll own</strong></p><ul><li>Design and build the backend services powering AI agents, conversations, workspaces, and document workflows</li><li>Develop orchestration for LLMs, tool calling, MCP, and multi-step tasks</li><li>Improve retrieval and knowledge systems operating across millions of documents</li><li>Make practical decisions around latency, reliability, observability, scalability, and model cost</li><li>Lead projects from technical design through launch and ongoing operation, while mentoring engineers and influencing direction across teams</li></ul><p><br /></p><p><strong>Qualifications</strong></p><ul><li>Recent experience designing, building, and shipping production products or platforms in a strong product, SaaS, or technology engineering organization</li><li>Staff-level technical ownership: leading complex projects end to end while continuing to write production code</li><li>Strong Python backend engineering experience, ideally with FastAPI, APIs or microservices, PostgreSQL, and AWS</li><li>Experience designing distributed systems and operating them reliably at scale</li><li>Hands-on experience integrating LLMs into products; experience with agents, tool calling, MCP, RAG, or retrieval is especially relevant</li><li>Sound judgment around performance, observability, resilience, and cost in production</li><li>Ability to mentor engineers, make clear technical tradeoffs, and influence engineering direction across teams</li></ul><p><br /></p><p>If you’re a hands-on Staff Engineer who wants to own a meaningful part of an AI product that professionals use in their day-to-day work, send me a message and I’ll share more details.</p>

Requirements

• DO
• PA

Description

<p>Are you looking to work on front-end systems that operate at a level most engineers never encounter?</p><p><br /></p><p>We are hiring on behalf of a world-class quantitative trading firm for a Staff or Senior Software Engineer to build real-time, GPU-accelerated visualisation systems for live trading. This is not a typical front-end role. The performance bar here is closer to game engine or GPU rendering work than standard web development, and the systems you build will be used by some of the best trading teams in the world.</p><p><br /></p><p><strong>What you will be working on</strong></p><ul><li>Building real-time data visualisation systems using WebGPU that render complex, high-frequency market data at speeds that push the boundaries of what browsers can do</li><li>Optimising rendering pipelines, memory usage, and frame latency under extremely heavy, constantly updating data loads</li><li>Working at the intersection of web performance and GPU systems, going deep on browser internals, graphics pipelines, and low-level rendering techniques</li><li>Collaborating directly with world-class quants, traders, and engineers on some of the most performance-critical front-end systems anywhere in industry</li><li>Seeing your optimisations have immediate, measurable impact in live markets</li></ul><p><br /></p><p><strong>What we are looking for</strong></p><ul><li>5 plus years of experience building high-performance GUI or web applications</li><li>Hands-on experience with WebGPU, WebGL, WebAssembly, or equivalent graphics technologies</li><li>Deep understanding of low-level rendering pipelines and rendering techniques</li><li>Strong experience with React and modern web application architecture</li><li>A track record of building real-time, data-intensive applications under heavy load</li><li>C++ or Rust experience is a strong plus</li><li>Low ego, collaborative approach with the ability to take full technical ownership</li></ul><p><br /></p><p><strong>Why this is different</strong></p><ul><li>One of the most performance-critical front-end roles in the industry</li><li>Direct collaboration with world-class engineers and researchers in a flat, engineering-first culture</li><li>Real ownership over architecture and technical direction</li><li>Immediate and visible impact on live trading outcomes</li><li>Exceptional compensation reflecting the calibre of the work and the team</li></ul><p><br /></p><p>If you are the kind of engineer who wants to push the limits of what is possible in real-time web systems, this is the role where you can do the best work of your career.</p><p><br /></p><p><strong>Compensation</strong></p><p>The estimated base salary range for this role is $150,000 to $300,000 per year. Total compensation, including performance-based bonus, is expected to range from $300,000 to $800,000 depending on experience, level, and individual performance. Final compensation will be determined based on a number of factors including skills, experience, and interview performance.</p>

Requirements

• RN
• DO
• PA