ETL Developer

- Design, build, test, and deploy highly scalable customer facing RESTful APIs that can handle traffic and mobile apps - Collaborate with Product and Engineering leadership to translate business vision into technical design, code and test suite - Partner with other engineers to produce high quality software - Gain a broad understanding of the system/domain and upstream/downstream dependencies - Stay current on technologies and application development best practices Requirements - You have 8+ years of experience as a back-end developer building and deploying RESTful APIs and integrations using Java/Groovy, SpringBoot, Spock, JUnit, Gradle/Maven, SQL/NoSQL databases, MQ, Kafka, GIT - You have a solid understanding of RESTful APIs - You are an expert in building cloud-native applications - You are passionate about developing and maintaining high quality software - You understand how web sites and mobile apps interact with backend APIs - 3+ years working in an agile team - Understanding of CI/CD, Jenkins, JMeter/Gatling, WireMock - Atlassian software development and collaboration tools (BitBucket, Jira etc.)

Booklog is looking for a level 1 – 3 technical support individual. This position is to provide outstanding technical support for Booklog software and various interfaces along with onboarding of new customers, testing of software and training on usage of software. We’re looking for a motivated individual to be part of our committed team. We need to be the experts so our customers don’t have to. Located in Chicago’s Andersonville neighborhood; telecommuting is available. Qualifications • At least 2 years experience in technical support, preferably phone support • Experience with Microsoft Windows operating systems • Familiarity with databases and database troubleshooting • Knowledge of computer network systems • Ability to troubleshoot software problems and offer solutions by phone • Good problem solving skills with attention to detail • Strong verbal, written, interpersonal, and organizational skills • Ability to work both independently and in a team environment • Experience with SQL Server 2022, Sybase SQL applications and databases • Ability and excitement to learn new skills • A ‘think outside of the box’ mentality • Customer Service experience • Software training experience a plus • Previous experience training customers on software usage • Experience with use of peripheral devices • 10% or less travel to customer locations within the US to train and install software Benefits • Casual environment with a great group of people who love what they do • In office or telecommuting options • 100% paid health insurance • 2 weeks vacation to start • Generous 401K options • Permanent full-time. PLEASE SEND RESUME WHEN APPLYING

Trexquant is a growing systematic fund at the forefront of quantitative finance, with a core team of highly accomplished researchers and engineers. To keep pace with our expanding global trading operations, we are seeking a C++ Market Data Engineer to design and build ultra-low-latency feed handlers for premier vendor feeds and major exchange multicast feeds. This is a high-impact role that sits at the heart of Trexquant's trading platform; the quality, speed, and reliability of your code directly influence every strategy we run. Responsibilities Design & implement high-performance feed handlers in modern C++ for equities, futures, and options across global venues (e.g., NYSE, CME, Refinitiv RTS, Bloomberg B-PIPE). Optimize for micro- and nanosecond latency using lock-free data structures, cache-friendly memory layouts, and kernel-bypass networking where appropriate. Build reusable libraries for message decoding, normalization, and publication to internal buses shared by research, simulation, and live trading systems. Collaborate with cross-functional teams to tune TCP/UDP multicast stacks, kernel parameters, and NIC settings for deterministic performance. Provide robust failover, gap-recovery, and replay mechanisms to guarantee data integrity under packet loss or venue outages. Instrument code paths with precision timestamping and performance metrics; drive continuous latency regression testing and capacity planning. Partner closely with quantitative researchers to understand downstream data requirements and to fine-tune delivery formats for both simulation and live trading. Produce clear architecture documents, operational run-books, and post-mortems; participate in a 24×7 follow-the-sun support rotation for mission-critical market-data services. Requirements BS/MS/PhD in Computer Science, Electrical Engineering, or related field. 3+ years of professional C++ (14,17,20) development experience focused on low-latency, high-throughput systems. Proven track record building or maintaining real-time market-data feeds (e.g., Refinitiv RTS/TREP, Bloomberg B-PIPE, OPRA, CME MDP, ITCH). Strong grasp of concurrency, lock-free algorithms, memory-model semantics, and compiler optimizations. Familiarity with serialization formats (FAST, SBE, Protocol Buffers) and time-series databases or in-memory caches. Comfort with scripting in Python for prototyping, testing, and ops automation. Excellent problem-solving skills, ownership mindset, and ability to thrive in a fast-paced trading environment. Familiarity with containerization (Docker/K8s) and public-cloud networking (AWS, GCP). Benefits Competitive salary, plus bonus based on individual and company performance. Collaborative, casual, and friendly work environment while solving the hardest problems in the financial markets. PPO Health, dental and vision insurance premiums fully covered for you and your dependents. Pre-Tax Commuter Benefits  Trexquant is an Equal Opportunity Employer

Location: Onsite – 5 days per week (DOWNTOWN CHICAGO) We are seeking a motivated Desktop Support Specialist to join our IT team. In this role, you will be responsible for providing day-to-day technical support for employees, ensuring computer systems and conference room technologies run smoothly. You’ll primarily manage issues remotely from your desk but will also handle hands-on tasks such as equipment setup and troubleshooting. Key Responsibilities : Provide helpdesk support to employees, including troubleshooting and resolving hardware, software, and network issues. Set up, configure, and maintain physical computer equipment and peripherals. Perform device provisioning for new and existing users (experience preferred). Troubleshoot issues related to conference room systems, with a focus on Google Meet setups. Utilize remote management tools to resolve the majority of technical support requests. Execute basic tasks in Linux terminal for system checks and troubleshooting. Collaborate with the IT team to maintain smooth operations and escalate issues when necessary. Qualifications : Previous experience in a desktop support or helpdesk support role. Strong knowledge of computer hardware setup and troubleshooting. Experience with provisioning processes is preferred. Familiarity with Linux terminal commands and basic troubleshooting. Excellent problem-solving and communication skills. Ability to work independently and manage multiple support requests effectively. Comfortable working onsite five days per week.

Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai’s leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural “XB100” 2023 list of the world’s top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 21 million miles of autonomous driving globally. Pony.ai went public at NASDAQ in Nov. 2024. Responsibility The ML Infrastructure team at Pony.ai provides a set of tools to support and automate the lifecycle of the AI workflow, including model development, evaluation, optimization, deployment, and monitoring. As a Machine Learning Engineer in ML Runtime & Optimization, you will be developing technologies to accelerate the training and inferences of the AI models in autonomous driving systems. This includes: Identifying key applications for current and future autonomous driving problems and performing in-depth analysis and optimization to ensure the best possible performance on current and next-generation compute architectures. Collaborating closely with diverse groups in Pony.ai including both hardware and software to optimize and craft core parallel algorithms as well as to influence the next-generation compute platform architecture design and software infrastructure. Apply model optimization and efficient deep learning techniques to models and optimized ML operator libraries. Work across the entire ML framework/compiler stack (e.g.Torch, CUDA and TensorRT), and system-efficient deep learning models. Requirements BS/MS or Ph.D in computer science, electrical engineering or a related discipline. Strong programming skills in C/C++ or Python. Experience on model optimization, quantization or other efficient deep learning techniques Good understanding of hardware performance, regarding CPU or GPU execution model, threads, registers, cache, cost/performance trade-off, etc. Experience with profiling, benchmarking and validating performance for complex computing architectures. Experience in optimizing the utilization of compute resources, identifying and resolving compute and data flow bottlenecks. Strong communication skills and ability to work cross-functionally between software and hardware teams Preferred Qualifications: One or more of the following fields are preferred Experience with parallel programming, ideally CUDA, OpenCL or OpenACC. Experience in computer vision, machine learning and deep learning. Strong knowledge of software design, programming techniques and algorithms. Good knowledge of common deep learning frameworks and libraries. Deep knowledge on system performance, GPU optimization or ML compiler. Compensation and Benefits Base Salary Range: $140,000 - $250,000 Annually Compensation may vary outside of this range depending on many factors, including the candidate’s qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Compensation and this role may be eligible for bonuses/incentives and restricted stock units. Also, we provide the following benefits to the eligible employees: Health Care Plan (Medical, Dental & Vision) Retirement Plan (Traditional and Roth 401k) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Free Food & Snacks

Core Systems, a leader in rugged computer and server solutions for mission-critical defense and industrial applications, is seeking a Computer Repair Technician to join our RMA and repair operations team. This position focuses on diagnosing, troubleshooting, and repairing customer-returned products and Core Systems–built servers. Resume Required. Key Responsibilities Perform diagnostics, troubleshooting, and repair on returned computer systems, servers, and components. Process RMA units through inspection, testing, and documentation. Repair hardware at the system, component, and board level when required. Assist in root cause analysis and corrective action reports for customer returns. Work closely with engineering and production teams to support continuous improvement. Maintain accurate service records and ensure timely turnaround of customer units. Qualifications Proven hands-on experience repairing computer systems, servers, or related IT hardware. Strong knowledge of hardware components (motherboards, CPUs, memory, storage, power supplies, etc.). Experience with diagnostic tools and test equipment. Ability to read schematics and follow technical documentation. Detail-oriented, organized, and able to work under time-sensitive conditions. Previous experience in an RMA/repair environment is a MUST. Familiarity with ruggedized or military/industrial computer systems a plus. What We Offer Competitive pay and benefits package. A chance to work with cutting-edge technology in the defense and industrial markets. Collaborative, supportive team environment. Opportunities for growth and advancement within the company.