SAP Payroll Technical

- 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.)

Company Description www.spkn.app Spoken is a first-of-its-kind social commerce marketplace powered by real consumers and their genuine connections. We turn everyday word-of-mouth moments into a scalable sales engine for brands—without influencers, ads, or the noise of traditional social media. Our platform catalogs real purchases from real people, making them discoverable and shoppable by their friends. This means brands get lower acquisition costs, higher trust, and authentic engagement, while consumers get a safe, private space to share and shop with people they actually know. We’re pre-seed, early in our journey, and building for massive scale. This is an opportunity to join at the ground floor, shape the product, own major technical decisions, and directly influence the trajectory of the company. Role Description We’re looking for a Founding Engineer who can take Spoken from MVP to a robust, scalable platform. You’ll be responsible for: • Product Ownership – Leading technical architecture, system design, and development for our mobile and web applications. • Hands-On Development – Building new features, integrating AI-driven product recognition, and optimizing for speed, reliability, and scalability. • Technical Vision – Making key stack decisions and setting engineering best practices. • Rapid Iteration – Moving quickly from concept to deployment, testing and refining based on real-world user feedback. • Team Building – Hiring and mentoring the future engineering team. • Partnership – Working directly with the founder to align product and business strategy and sharing in both the responsibility and the upside. This is not just a job—it’s true founder-level involvement, with equity and the opportunity to shape a category-defining product. This is an “all-in” role so an appetite for problem solving and entrepreneurship is key! Qualifications Must-Haves • Proven experience building and shipping consumer-facing web or mobile applications. • Strong proficiency in React Native, Flutter or other similar cross-platform frameworks and backend development. • Ability to design, build, and deploy scalable APIs and databases. • Experience with cloud platforms (AWS, GCP, or Azure). • Strong problem-solving mindset and a bias toward action—comfortable in a fast-moving, high-ambiguity startup environment. • Entrepreneurial spirit and willingness to own outcomes. Nice-to-Haves • Experience with AI/ML integration (image recognition, recommendation engines). • Background in marketplace or e-commerce platforms. • Prior startup or founder experience. • Located in the SF Bay Area (preferred for in-person collaboration). Compensation: Significant equity stake (5-20% depending on experience). Guaranteed salary & benefits upon pre-seed funding secured. Location: San Francisco Bay Area (hybrid/remote possible for the right person). Stage: Pre-seed, MVP in development, fundraising in progress.

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

craigslist is currently seeking a network engineer to: assist in maintaining a stable platform that will continue to scale as traffic increases and services are expanded assist in network design and evolution manage and employ open source and commercial firewalls and load balancers solve interesting tech issues at billion-page-view-per-day scale Successful candidates will have impeccable judgment and discretion, excellent troubleshooting skills, deep understanding of network and information security issues, and solid experience in as many of the following areas as possible: very high performance / traffic web architectures TCP / IP / BGP / OSPF / IS-IS Juniper JUNOS / Arista EOS / A10 ACOS BGP traffic engineering / transit provider selection firewall policy design and implementation open source and commercial load balancers global server load balancing DDoS mitigation IPSEC VPNs / client access VPN concentrator management PCIDSS compliance network planning, documentation, and communication IPv6 / DNS / DNSSEC / multicast scripting for network related needs such as device configuration, monitoring, regression testing, and reporting administration of rpm-based linux distributions The ideal candidate: self-motivated and highly productive a data-driven problem solver passionate about making things better for end users loves learning and teaching others passion for automation makes teammates better resourceful and adaptable communicates effectively craigslist offers: an unusually philanthropic company mission and philosophy a small team (~40) of fun-loving, smart, interesting, idealistic people non-garden-variety tech challenges at massive scale a tech nirvana, free from VCs, sales, marketing, biz dev, or pivoting big company stability and benefits -- w/o the dysfunction and despair craigslist benefits include: 100% paid (including eligible dependents) health and dental insurance craigslist-provided health reimbursement account ($4K-$10K) 3-to-1 match on employee charitable donations (up to 10% of salary) 401(k) matching program (up to 6% of salary), with immediate vesting 4 weeks paid time off; 10 paid holidays wellness stipend (up to $150/month) Please note: Candidates must be authorized to work in the United States without sponsorship. Interviews are being conducted virtually. All craigslist staff are currently working from home. To apply, please send a cover email highlighting your experience and interests as they relate to this position and paste your plain text resume into the body of the email with 'network engineer' in the subject line. No attachments please. craigslist is an equal opportunity employer. craigslist policy prohibits discrimination based on age, genetic information, marital/domestic partner status, medical condition (including cancer, genetic characteristics, or AIDS/HIV status), mental or physical disability, national origin and ancestry (including language use and holding a driver's license granted under Vehicle Code section 12801.9), race and color, creed, religion, sex (including pregnancy, perceived pregnancy, childbirth, breastfeeding, and related medical conditions), gender, gender identity/expression, sexual orientation, weight, height, military/veteran status, or any other characteristic protected by federal, state, or local laws.

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

Manager, Quantitative Analysis positions offered by Capital One Services, LLC (McLean, Virginia). Remain on the leading edge of analytical technology with a passion for the newest and most innovative tools. Position reports to McLean, VA office. Telecommuting permitted in accordance with company policy, but must live within commuting distance of stated office. Please apply online at: https://capitalone.wd12.myworkdayjobs.com/Capital_One, Reference Job ID: R219456.