Finance Senior Applications Engineer (Law firm exp. required)

- 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.)

We are developing next-generation AI platforms that fuse finance and learning — built to deliver real execution and measurable results for businesses and professionals. We’re seeking visionary technical builders to join as Co-Founders / Founding Engineers at the pre-launch stage. This is not a traditional job — it’s an opportunity to shape a first-of-its-kind startup from the ground up. We’re especially interested in entrepreneurial talent with expertise in: • AI/ML Engineering • Full-Stack Development • Cloud Architecture • UI/UX Design Compensation: Equity-based founding role (with flexibility to discuss minimal salary support if needed). To apply: Please reply with a short note on your background, your key technical skills (e.g., AI/ML, full-stack, cloud, UX/UI), and attach your resume/CV. Selected applicants will then receive more details, including company information and a formal application link.

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

Senior Data Engineer positions offered by Discovery Communications, LLC (Bellevue, WA). Build software across our entire cutting-edge data platform, including event-driven data processing, storage, and serving through scalable and highly available APIs, with cutting-edge technologies. Offering salary of $212,202 per year. Position reports to Bellevue, WA office. Telecommuting is permitted in accordance with company policy but must live within commuting distance of stated office. Please submit resume to wbdi@wbd.com. Reference Job ID: 9682917.

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

Company Description IT Management Corporation was established in 2009 as a new generation IT solution provider focusing on sustainability, network conversion, and business alignment. We’re a highly qualified and professional voice and data network consulting and service organization. At IT Management, our mission is to facilitate a transformation to a more efficient, sustainable technical environment; enabled by advanced technology and enhanced communication to optimize production and increase reliability. We combine our professional and managed services with technologies from leading vendors to provide our customers with the best solution to their needs with consideration of industry standards and reliability. We can assist businesses in designing strategy, architecture, and technology roadmaps that become the blueprint of their vision. Job Description As an IT Engineer specializing in Network and Systems, you will play a pivotal role in designing, implementing, and managing our network infrastructure and systems, with a strong focus on cloud platforms and virtualization technologies. You will be responsible for ensuring the stability, security, and performance of our network, server, and cloud environments while collaborating closely with our IT team to support the organization's technological needs. Key Responsibilities: • Network Management: Design, configure, and maintain network infrastructure, including routers, switches, firewalls, and VPNs. • Systems Administration: Administer and maintain Windows and Linux servers, virtual machines, and storage solutions. • Cloud Infrastructure: Deploy, manage, and optimize cloud-based systems, particularly in Microsoft Azure environments, including managing virtual networks, storage accounts, and cloud security. • Virtualization: Design, implement, and maintain virtualization solutions using VMware, Nutanix, and other hypervisors to support scalable and efficient IT infrastructure. • Security: Implement and manage network and system security measures, including firewalls, intrusion detection systems, and data encryption. • Performance Monitoring: Monitor network, system, and cloud performance, identify bottlenecks, and implement improvements to ensure optimal performance. • Troubleshooting: Diagnose and resolve network, system, and cloud-related issues promptly to minimize downtime. • Backup and Recovery: Manage backup and disaster recovery plans, particularly in hybrid and cloud environments, to ensure data integrity and availability. • Documentation: Maintain detailed network, system, and cloud infrastructure documentation, including configurations, procedures, and changes. • Collaboration: Work closely with other IT team members to provide technical support and guidance for various projects. Qualifications • Education: Bachelor’s degree in Computer Science, Information Technology, or a related field. • Experience: Minimum of 3-5 years of experience in network and systems engineering, with hands-on experience in cloud and virtualization technologies. • Certifications: Relevant certifications (e.g., CCNA, CCNP, CompTIA Network+, Microsoft Certified: Azure Administrator, VMware Certified Professional, Nutanix Certified Professional, or equivalent) are a plus. • Technical Skills: o Proficiency in network protocols (TCP/IP, DNS, DHCP) and hardware. o Experience with network security tools and practices. o Strong knowledge of Windows and Linux server environments. o Hands-on experience with Microsoft Azure cloud services, including Azure Active Directory, virtual machines, and networking. o Proficiency in managing and maintaining virtualization platforms such as VMware vSphere, Nutanix Acropolis, and other hypervisors. o Experience with scripting and automation tools (e.g., PowerShell, Bash, Python) is desirable. • Soft Skills: o Strong analytical and problem-solving skills. o Excellent communication and teamwork abilities. o Ability to manage multiple tasks and projects simultaneously. Additional Information • 4+ years advance Microsoft active directory and systems experience • 4+ years advance VMware virtualization and related solutions experience • 4+ years Cisco Collaboration and sip trucking experience • 6+ years hands on experience in WAN/LAN and wireless technologies • Maintain multiple advanced manufacturer specific advanced certifications. i.e.: Cisco, R/S. Voice, Brocade, CISSP, VCDX, UCS, Aruba, Ruckus, HPE • Experience with python and scripting to automate deployments All your information will be kept confidential according to EEO guidelines. PLEASE APPLY ONLINE AT: https://tiny.pl/kdc8-zn2