Role Description We are looking for a Quantitative Developer to build and optimize high-performance trading systems with a focus on trade execution, order management systems (OMS), and low-latency infrastructure. You will work closely with traders, quants, and infrastructure teams to design systems that directly impact trading performance and PnL. - Design and develop low-latency trade execution systems and order management systems (OMS) - Build and optimize high-frequency trading (HFT) infrastructure for performance and scalability - Develop exchange connectivity, execution gateways, and market access components - Improve network performance and latency through kernel/network stack optimizations - Build and maintain real-time data pipelines for market data ingestion and processing - Work on multithreaded and distributed systems for high-throughput environments - Collaborate with quant researchers and traders to translate strategies into production systems - Perform performance profiling, benchmarking, and system tuning - Ensure system reliability, fault tolerance, and monitoring in live trading environments Qualifications - 3–5 years of experience in quantitative development / low-latency systems / trading infrastructure - Strong programming skills in C++ (preferred) or Java/Python (performance-critical systems exposure required) - Hands-on experience with Trade execution systems / OMS, HFT or low-latency trading systems, exchange connectivity (FIX, binary protocols, market data feeds) - Solid understanding of multithreading, concurrency, and memory optimization, linux systems programming, network programming (TCP/UDP, sockets, kernel bypass – DPDK/Solarflare is a plus) - Experience in network optimization and latency reduction techniques - Exposure to real-time data pipelines / streaming systems - Strong problem-solving and debugging skills in performance-critical environments Requirements - Work on cutting-edge low-latency trading systems - Direct impact on trading performance and revenue generation - High learning curve with exposure to quant research + execution stack - Competitive compensation with performance-linked upside

• Lead India developer marketing strategy across priority audiences, channels, communities, cities, and product moments. • Build programs that improve developer awareness, education, product understanding, adoption, and advocacy. • Translate global developer launches and narratives into India-relevant activation plans. • Partner with Developer Relations and technical stakeholders to ensure programs are credible, useful, and grounded in builder needs. • Develop repeatable India plays across content, technical education, developer events, hackathons, builder workshops, community moments, ecosystem partnerships, and builder stories. • Support startup marketing initiatives where startup and developer audiences overlap, including technical founders, startup builders, startup ecosystem moments, founder-led proof points, and programs that create adoption with early-stage builders, while keeping the core mandate centered on developers. • Establish clear operating rhythms, prioritization, measurement, and feedback loops with global, India, and APAC partners. • Bring India developer insight, market nuance, and ecosystem opportunities into global planning.

Title: Application Developer Location: Pasadena United States Hybrid Job Category Fulltime Regular ExemptOvertimeEligible Overtime Eligible Job Description: Caltech is a world-renowned science and engineering institute that marshals some of the world''s brightest minds and most innovative tools to address fundamental scientific questions. We thrive on finding and cultivating talented people who are passionate about what they do. Join us and be a part of the diverse Caltech community. Job Summary NExScI at Caltech/IPAC has an opening for an AI Application Developer to lead the development, production deployment, and scaling of TAPchat - an AI-powered conversational interface that helps astronomers query and explore data from NASA's astronomical archives. Beyond TAPchat, this role will identify and develop new applications for AI and large language models across IPAC's data archives and scientific workflows. Come be a part of the team that is helping astronomers and data scientists all over the world access and explore astronomy data! TAPchat uses large language models to translate natural-language questions into database queries, data analysis, and visualizations. The application is a working prototype built with Python/FastAPI and JavaScript that supports multiple LLM providers (Anthropic Claude, OpenAI, Google Gemini, and local models via Ollama), authenticates users via OAuth2, and runs in Docker with PostgreSQL. You will take ownership of this codebase, harden it for production use, and scale it to serve a growing community of researchers. This role will work within a vibrant team of scientists and developers at the NASA Exoplanet Science Institute (NExScI). As a part of IPAC, NExScI (nexsci.caltech.edu) provides archive services, community support, science operations, and analysis tools related to the discovery and characterization of planets beyond our solar system (exoplanets) using data from observatories in space and on the ground. IPAC also hosts several other NASA and Caltech data archives, and this position will have the opportunity to bring AI-driven tools and approaches to those projects as well. Essential Job Duties As an Applications Developer, your primary focus will be leading TAPchat to production, while also exploring AI/LLM applications across IPAC. Key responsibilities: - Take ownership of an existing Python/FastAPI + JavaScript codebase and bring it from prototype to production-quality service. - Design and improve the AI agent loop - prompt engineering, tool design, retrieval-augmented generation (RAG) over archive documentation, multi-model support, and evaluation of LLM responses for scientific accuracy. - Design and implement secure code execution sandboxing to safely run user-initiated data analysis (e.g., subprocess isolation, containers, or task queues). - Improve test coverage, CI/CD pipelines, and deployment automation. - Optimize database performance (indexing, connection pooling, query optimization) and implement monitoring, logging, and alerting. - Scale the application to support a growing user base, including evaluating cloud deployment options and horizontal scaling strategies. - Implement rate limiting, security hardening, and operational tooling for a public-facing service. - Collaborate with scientists across IPAC to add new archive integrations, improve the AI agent's tool suite, and enhance data visualization capabilities (e.g., migrating from static plots to interactive visualizations with Bokeh or Plotly). - Write and maintain deployment documentation, runbooks, and architecture decision records. - Identify opportunities to apply AI and LLM technologies to other IPAC data archives and scientific workflows - prototyping new tools, evaluating feasibility, and championing adoption. - Stay current with the rapidly evolving AI/LLM landscape and advise the team on which new capabilities (e.g., multimodal models, retrieval-augmented generation, fine-tuning) are worth adopting. Basic Qualifications If you have the following in your background, then we want to hear about your interest in joining our team: - Bachelor's or equivalent degree in Computer Science, Data Science, Astronomy/Astrophysics, or related field. - A minimum of 3 years of relevant professional experience. - Proficiency in Python, including modern web frameworks (FastAPI, Flask, or similar). - Experience integrating with LLM APIs (Anthropic Claude, OpenAI, Google Gemini, or similar) and an understanding of prompt engineering, retrieval-augmented generation (RAG), and agentic AI patterns. - Experience developing and deploying web applications, with willingness to work across the stack (backend, database, frontend, infrastructure). - Strong communication and interpersonal skills. Preferred Qualifications These additional qualifications may give you a strong start, though we still encourage you to apply even if you don't have all of them: - Experience with relational databases (PostgreSQL or similar), including schema design and SQL. - Experience with Docker, containerized deployments, and CI/CD pipelines. - Familiarity with REST API design and real-time data streaming (SSE or WebSockets). - Comfort working with JavaScript for frontend development. - Master's or PhD in Computer Science, Data Science, Astronomy/Astrophysics, or related field. - Experience building agentic AI applications with tool use, structured outputs, and evaluation frameworks. - Familiarity with the Python scientific computing ecosystem (pandas, NumPy, SciPy, Astropy, Matplotlib). - Experience with process sandboxing, security isolation, or task queue systems (Celery, ARQ, Dramatiq). - Experience with cloud platforms (AWS, GCP) and infrastructure-as-code tools. - Knowledge of OAuth2/OIDC authentication flows and web application security. - Experience with Kubernetes or similar container orchestration at scale. - Background in astronomy, astrophysics, or scientific data systems. - Experience with interactive data visualization libraries (Bokeh, Plotly, D3.js). Required DocumentsApplication Details This is an on-site position at the Caltech campus in Pasadena, California. There will be some allowability for remote work (typically one to two days per week depending on operational needs). Life at IPAC People choose to work at IPAC for many reasons, and the casual, employee-centric culture often leads to fulfilling, long-term careers and positive relationships. Caltech's benefits program offers a quality, competitive benefits package that is affordable for you and the Institute. We also offer a 403(b) defined contribution plan to eligible staff as well as a Voluntary Retirement Savings (TDA) Plan. IPAC staff have access to the Institute's facilities, including the athletic center, libraries, on-site daycare, professional development and enrichment classes, and Athenaeum club membership.

Configure Workday HRIS to meet business needs, partner with Payroll and Benefits teams to identify technology solutions, and support system users by resolving issues and ensuring efficient functionality of HR systems.