Senior Software Engineer

- 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.)

Professional Handyman (Greater Boston Area) Location: Greater Boston, MA Employment Type: Full-Time (with flexible scheduling options) Compensation: Competitive hourly rate based on experience + benefits ($25-$35) About Us: Stocker Appliance Repair LLC is a trusted provider of residential and commercial property maintenance services throughout the Greater Boston area. We take pride in delivering high-quality workmanship, reliability, and exceptional customer service. Position Overview: We’re looking for a skilled, dependable, and customer-focused Handyman to join our growing team. The ideal candidate is experienced in a variety of home repair and improvement tasks and enjoys working both independently and as part of a team. Key Responsibilities: Perform general repairs, maintenance, and installations in residential and commercial properties Handle tasks such as carpentry, painting, drywall repair, basic plumbing and electrical work, and fixture installations Troubleshoot and diagnose maintenance issues efficiently Ensure quality workmanship and professional communication with clients Maintain tools, equipment, and workspaces in safe, clean condition Qualifications: 5+ years of proven handyman, maintenance, or construction experience Strong knowledge of general repair and maintenance techniques Must have reliable transportation and a valid driver’s license Ability to work independently and manage time effectively Excellent communication and customer service skills Must be able to lift 50 lbs and perform physically active work What We Offer: Competitive pay based on experience Paid time off and Federal Holidays Health Insurance, Dental and Vision 401K Company Truck Flexible work schedule Opportunities for advancement Supportive team environment If you’re a motivated professional who takes pride in high-quality work and enjoys helping people maintain their homes and businesses, we’d love to hear from you! Job Type: Full-time Benefits: 401(k) Dental insurance Health insurance Life insurance Paid time off Vision insurance Experience: Handyman: 5 years (Required) License/Certification: Driver's License (Required) Ability to Commute: Boston, MA (Required) Work Location: On the road

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

Middletown, CT (Direct Hire) Compensation: $40K - $80K (Guaranteed base for 3 months, uncapped commission) Are you a self-motivated individual? Have you worked in a restaurant? Do you wish to work from home and make your own schedule each week? Are you a sales winner with a passion for hands-on service? We specialize in providing essential refrigeration gaskets to food service businesses, ensuring their compliance with health regulations. We are dedicated to delivering top-quality products and exceptional service. The Position: Responsible for visiting clients to present critical products and perform installations. This unique role combines sales with hands-on service, allowing you to make a tangible impact in the industry. Responsibilities: Manage your sales territory and schedule client visits independently. Present and sell essential refrigeration gaskets to various food service establishments. Perform product installations (basic tool use, such as a screwdriver, is required). Continuously seek opportunities to grow your client base. Qualifications: Outgoing personality with strong communication and interpersonal skills. Ability to perform basic product installations. Enthusiasm for cultivating and maintaining long-term client relationships. Benefits: Competitive commission structure with uncapped earning potential. Guaranteed base salary for 3 months. Health, 401(k), phone and car allowance, and training. Please call 860-773-0059

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

Geeks Mobile in Scottsdale is hiring entry level IT technician part time initially then full time. You will be trained and certified to become an IT technician. No experience is required. You must like to work with computers and able to pay attention to detail. This position is available to all high school seniors, high school graduates or some college students. Local AZ residents only. If you are an Entry-Level IT technician or studying to be one and have flexible schedule, please respond to this posting tell us about yourself or upload your resume via email (must have a resume to be considered). (Please DO NOT CALL THE OFFICE, we will contact you by phone or email)