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Location: New York, NY, Springfield, MA or Boston, MA The Opportunity The Team The Valuation Modeling Team helps to protect the long-term interests of policyholders by ensuring MassMutual is positioned to meet its future obligations. Responsible for over $100 billion in direct statutory reserves, the team performs statutory, GAAP/LDTI and tax valuation on Par Whole Life, Term, UL and VUL products. Our work affects regulatory compliance, strategic decision-making and inforce management. For those interested in modeling, interpreting, and communicating financial results in a collaborative team environment, this is an exciting role. The Impact: • Apply deep modeling expertise to all phases of input, processing, and output of valuation projections in Axis, • Utilize modeling acumen to execute complex projects such as Cash Flow Testing, new product implementations, assumption change, and structural model updates, • Deliver and explain Stat, Tax and GAAP financial results., • Develop and improve existing control and versioning methodology in valuation models, • Improve efficiency by leveraging communication skills with internal and external technology partners, • Apply knowledge of life insurance products and regulations to navigate complexity, ambiguity, and limitations in valuation software, • Work directly with various audit stakeholders to demonstrate compliance with regulatory and model governance standards, • Demonstrate agility in responding to stakeholder questions and unexpected results, often at times of peak activity and tight deadlines The Minimum Qualifications • Bachelor's degree in actuarial science, mathematics, statistics, data science, computer science, engineering, or a related quantitative or technical field., • ASA designation, • 4+ years of actuarial experience within insurance, financial services, or a related quantitative field., • 1+ years of experience with Axis The Ideal Qualifications • FSA designation, • 4+ years of experience with Axis, including model leadership or stewardship roles, • Demonstrated accountability and ownership of long-term independent projects, • Proficient with Axis features such as DataLink, investment cells, scenario files, and embedded block processing, • Understanding of modeling infrastructure such as ELink, GridLink, and output databases, • Expertise with identifying multiple solutions to a problem, and developing collaborative solutions to software limitations, • Ability to estimate resource requirements and set expectations with key stakeholders for highly visible projects, • Experience with Principle-Based Reserves, valuation regulations, product design, modeling assumptions, and inforce policy data, • Proficient with model-supported software such as MS Excel and SQL., • Strong math, analytical and collaboration skills, • Strong communication skills, both written and verbal, • Continuous improvement mindset, • Ability to build and maintain strong working relationships across cross-functional groups What to Expect as Part of MassMutual and the Team • Regular meetings with the Life Valuation Team, • Focused one-on-one meetings with your manager, • Access to mentorship opportunities, • Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQ, veteran and disability-focused Business Resource Groups, • Access to learning content on Degreed and other informational platforms, • Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefitsMassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our _ page.

Overview: About Us Matrix Medical Network pioneered the first national in-home clinical network, and today we’re an independent provider of comprehensive health assessments serving people across the nation. We deliver exceptional, personalized care that improves health, lowers costs, and empowers people to live their best lives. With deep roots in clinical assessment and care management services, our national network of clinicians breaks through traditional barriers to care by meeting those members wherever they call home. We help older adults and other at-risk individuals enjoy a better quality of care, experience improved health outcomes, and identify chronic conditions that may otherwise go undiagnosed. Our job opportunities allow you to leverage your expertise and compassion to make a direct impact on the health and well-being of others. Join our team and be rewarded with competitive compensation and flexible scheduling while making a difference in the community! Responsibilities: About the Role During a visit that can last up to one hour, Matrix providers review and observe a member’s current health, medical history, medication adherence, social environment and other risks. This provides unmatched insight into a member’s overall health and well-being that can be difficult to capture during routine office visits. The Matrix Comprehensive Health Assessment (CHA) helps to improve quality of care and allows us to potentially close multiple care gaps with a single visit. Our providers: • Conduct adult / geriatric assessments to include medical history, diagnosis and treatment, health education, physician referrals, case management referrals, follow-up and clear documentation according to Matrix guidelines and protocols, • Administer and order point of care and lab-based testing as needed, • Work with physicians, case managers, social workers, family members, key caregivers, and ancillary medical personnel as appropriate, • Collaborate with Primary Care Physician (PCP) on patient education and follow up as necessary, • Provide services at the member’s place of residence which can be in their homes or Skilled Nursing Facilities Benefits of Working at Matrix • Flexibility – Visits are scheduled based on YOUR availability. We conduct assessments Sunday – Saturday from 8 am – 7 pm. You can work during the day, evening, and/or weekend based on your schedule., • Competitive Pay – Earn income based on the number of assessments you complete. Increase your earning potential by offering greater availability and traveling to see members outside your home location. Those completing a monthly average of 20 – 100 visits earn $1,800 – $11,500 per month. This is based on the per assessment completion rate range of $90 – $115 depending on your state of residence., • Benefits – Including mileage reimbursement, 401(k), employee referral bonuses, and limited voluntary benefits., • Education and Support – We invest in YOU! In addition to comprehensive onboarding training we will assign you a preceptor, provide 1:1 feedback, and offer free access to earn continuing education., • Additional Licensure – Should business need exist; we will support you in obtaining additional state licensure and credentialing in neighboring states – or others you may want to visit while completing health assessments., • Full-time (FT) Opportunities – Our PRN providers can transition to FT roles supporting their home location, or a state or region – and receive a FT sign on bonus. Qualifications: Skills & Experience That Shine • Master’s Degree or commensurate experience and satisfactory completion of NP licensure, • Current NP licensure in state of practice to include prescription authority or the ability to obtain prescriptive authority as needed, • AANP, AACN, or ANCC board certification in Adult, Adult Gerontology Primary Care, Adult Gerontology Acute Care, Family, Emergency, or Acute Care specialty, • Current BLS, ACLS or CPR certification, • 1 year of NP experience preferred, new grads encouraged to apply!, • Valid state driver's license for the state of residence, • Automobile insurance coverage requiring for the state of residence (or ability to obtain), • Bodily Injury: $100,000 per person/$300,000 per incident, • Property Damage: $50,000, • Collision and comprehensive deductibles: $1,000 or less, • Strong computer skills and familiarity with employee health/medical record software, • Excellent verbal and written communication skills The Matrix Culture • Leading With Empathy & Trust – We believe in each other, which empowers all of us to connect with purpose and transparency. We take action from a place of trusting our peers, and we always have each other’s best interests at heart., • Diversity & Inclusion – The potential of our company is based on the diversity of experiences and backgrounds of everyone who works at Matrix. That’s why we’re proud of our diverse and talented team., • Committed to Career Advancement – The strength of our company is in its people. We’re committed to career progression and fostering an environment where employees can grow and thrive. By investing in our clinical and corporate teams, we enhance individual capabilities and strengthen the organization. Matrix Medical Network is an Equal Employment Opportunity Employer. It is the policy of Matrix to provide equal employment opportunities without regard to race, color, religion, sex, gender identity or expression, pregnancy, age, national origin, age, disability, marital status, veteran status, sexual orientation, genetic information or any other protected characteristic under applicable law. It is also the policy of Matrix that qualified individuals with disabilities receive equal opportunity in regard to job application procedures, hiring, and all aspects of the employment process. Matrix is committed to the full inclusion of all qualified individuals. Consistent with the Americans with Disabilities Act (ADA) and applicable state and local laws, it is the policy of Matrix to provide reasonable accommodation when requested by a qualified applicant or employee with a disability, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, pre-employment testing, to otherwise participate in the selection process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact _. #LI-Hybrid

\n \n About Us \n \n \n One Medical is a primary care solution challenging the industry status quo by making quality care more affordable, accessible and enjoyable. But this isn’t your average doctor’s office. We’re on a mission to transform healthcare, which means improving the experience for everyone involved - from patients and providers to employers and health networks. Our seamless in-office and 24/7 virtual care services, on-site labs, and programs for preventive care, chronic care management, common illnesses and mental health concerns have been delighting people for the past fifteen years. \n In February 2023 we marked a milestone when One Medical joined Amazon. Together, we look to deliver exceptional health care to more consumers, employers, care team members, and health networks to achieve better health outcomes. As we continue to grow and seek to impact more lives, we’re building a diverse, driven and empathetic team, while working hard to cultivate an environment where everyone can thrive. \n \n\n The Opportunity \n As a Certified Medical Assistant (internally known as Lab Services Specialist/Member Support Specialist) in our Jersey City office, you’ll provide an exceptional experience for our patients and help them accomplish an important part of their care journey by providing venipuncture as well as other clinical support services. You will be an ambassador for patients, with a mastery of human connection and a strong drive for service. You will remove barriers to care, resulting in a truly exceptional in-office patient experience. You are the steward of the space and ensure the look and feel of the office lobby are on brand with the One Medical experience. You will be the first point of contact for our patients, as well as provide any other support as requested by the Practice Coordinator, Operations Manager, or providers. \n You are a strong team player and use your innovative problem solving skills to tackle various tasks and challenges. You combine excellent specimen collection technique with tactful interpersonal skills during every interaction with your patients, at both the front desk and in the lab. You have a strong grasp of verbal and written communication. You are able to identify opportunities and deliver on customer-centric solutions while using empathy, focus, and compassion in all interactions with patients and teammates. You bring self-awareness to your daily work to utilize your strengths and develop your areas of opportunity. You thrive in cultures that focus on feedback and growth and are nimble in their approach to respond to the needs of the patients and team. You have an unwavering drive to help and serve others and create amazing moments for our members and teammates. If this sounds like you, we would love to connect. \n What you’ll likely work on: \n\n • Use impeccable C-I-CARE (a framework containing the key elements of a great interaction and effective communication that we use with patients and each other) in all patient interactions, both clinical and administrative, and ensure a fluid and positive in-office experience through patient intake, same day schedule management, appropriate follow up scheduling, strong knowledge of billing and insurance, monitoring patient feedback and assisting with outreach as necessary\n, • Provide best in class venipuncture services on a population ranging from pediatrics to geriatrics, depending on the office location\n, • Perform and assist with extended scope duties such as, but not limited to non-blood specimen collection, EKGs/ECGs, vitals, ear lavages, vaccines, PPD tests, and swabs\n, • Maintain high standards of in-office care through proper specimen labeling, handling and processing, inventory upkeep, and tool sterilization\n, • Continue to care for our members beyond the lab room by answering patient messages, following up on lab cases and assisting our providers and virtual medical team with clerical duties such as, but not limited to biometric screening forms, medical record and consult review, billing inquiries, and DOH reporting\n, • All front of house duties including check in/check out, insurance verification, printing/paperwork tasks, prepping tests, tasking to service level expectations etc\n, • Contribute to team development through rounding, attending team huddles, participating in team problem solving, supporting in office providers with ad hoc asks, etc. \n, • Perform opening and closing duties/daily office upkeep as required, including maintaining the look and feel of both patient and employee facing spaces, restocking supplies, and organization\n, • Master our technology suite including, but not limited to Slack, G-suite, Zoom, Circulation, RingCentral, and our Electronic Medical Record System, in order to interact with team members and complete daily work\n\n These responsibilities are intended to describe the general nature and level of work being performed by personnel assigned to this job classification. They are not to be construed as an exhaustive list of job duties performed by personnel in this classification. Other job related duties may be assigned by management. \n What you’ll need: \n\n • An active Medical Assistant certification from the National Healthcareer Association (NHA), the American Association of Medical Assistants (AAMA), the National Center for Competency Testing (NCCT), the American Medical Certification Association (AMCA), the National Association for Health Professionals (NAHP), the National Certification Medical Association (NCMA), or registration from the American Medical Technologists (AMT), or any other recognized certifying body approved by the Board\n, • Graduated from a postsecondary Medical Assistant program accredited by either the Commission on Accreditation of Allied Health Education Programs (CAAHEP), the Accrediting Bureau of Health Education Schools (ABHES), another accrediting organization recognized by the United States Department of Education \n, • At least 6 months of relevant experience as a Medical Assistant or Phlebotomist outside of a training/externship environment\n, • Strong customer service skills, including ability to establish and maintain effective customer relationships and deliver customer-centric solutions\n, • Strong written and verbal communication skills \n, • A High School Diploma or equivalent \n, • Proficiency in computer technology such as typing, navigating the internet and using multiple software systems simultaneously\n, • Experience working on collaborative, diverse, multi-disciplinary teams (additional experience with remote teams a plus) \n, • A proven ability to display confidence and instill trust during the collection process while delivering individualized, human-centered, customer-focused care \n, • A proven track record of persisting through change, consistently stepping up to take action on challenges, and learning quickly and effectively when faced with new situations or tasks\n\n One Medical is committed to fair and equitable compensation practices \n The range for this role is $24.00 to $26.00 per hour based on a standard full-time schedule. Total compensation packages may be based on factors unique to particular candidates, such as skill sets, depth of experience, and work location. The total compensation package for this position may also include benefits. For more information, visit https://www.onemedical.com/careers/ \n This is a full time role (40 hours/week) with 8 hour shifts generally taking place Monday - Friday between 7:30am-6:00pm based in our Jersey City, NJ office. \n \n\n One Medical offers a robust benefits package designed to aid your health and wellness. All regular team members working 24+ hours per week and their dependents are eligible for benefits starting on the team member's date of hire: \n Taking care of you today \n \n • Paid sabbatical for every five years of service\n, • Free One Medical memberships for yourself, your friends and family\n, • Employee Assistance Program - Free confidential services for team members who need help with stress, anxiety, financial planning, and legal issues\n, • Competitive Medical, Dental and Vision plans\n, • Pre-Tax commuter benefits\n, • PTO cash outs - Option to cash out up to 40 accrued hours per year\n \n Protecting your future for you and your family \n \n • 401K match\n, • Credit towards emergency childcare\n, • Company paid maternity and paternity leave\n, • Paid Life Insurance - One Medical pays 100% of the cost of Basic Life Insurance\n, • Disability insurance - One Medical pays 100% of the cost of Short Term and Long Term Disability Insurance\n \n In addition to the comprehensive benefits package outlined above, practicing clinicians also receive \n \n • Malpractice Insurance - Malpractice fees to insure your practice at One Medical is covered 100%.\n, • UpToDate Subscription - An evidence-based clinical research tool\n, • Continuing Medical Education (CME) - Receive an annual stipend for continuing medical education\n, • Rounds - Providers end patient care one hour early each week to participate in this shared learning experience\n, • Discounted rate to attend One Medical’s Annual REAL primary care conference\n \n \n One Medical is an equal opportunity employer, and we encourage qualified applicants of every background, ability, and life experience to contact us about appropriate employment opportunities. \n One Medical participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Please refer to the E-Verification Poster and Right to Work Poster for additional information. \n Your work schedule could be subject to change based on business direction at any time. \n

Machine Learning Engineer 5\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment\n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code\n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 6 years of experience programming with Python, Java, Golang, or C++\n, • At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 5+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans\n, • 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models\n, • ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents\n, • Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5\n \n Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5\n \n Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job DescriptionThis position will perform routine and non-routine maintenance, diagnostic and repair work on vehicles (buses, vans etc.) which adheres to FirstGroup standards. Performs work under minimal supervision. Handles more complex problems and can resolve independently. All work is performed with a commitment to safety. May mentor or provide informal guidance to Technician I and/or Technician II. Also, may act as a Shift Foreman and may receive a shift premium.In the state of Washington, this position is considered a safety-sensitive position and is therefore subject to drug and alcohol testing, including cannabis.$28.00/hrMajor Responsibilities • Ensure vehicles are maintained and safe for our customers by performing limited repairs with minimal supervision on both basic and complex maintenance such as replacement of light bulbs, fuses, lenses, wiper blades, belts, hoses, batteries, check fluid levels, change fluids and filters and lubricate components., • Perform mechanical repairs under minimal supervision including the repair of brakes and brake inspections, engine tune-ups, suspensions, drive trains, transmission clutches and other repairs., • Maintain records of all maintenance work completed on vehicles including parts and supplies used. Ensure that work orders are completed properly and accurately. Maintain parts usage records and order repair parts from designated suppliers., • Diagnoses and performs accurately all phases of vehicle and equipment repair under minimal supervision. May perform diagnostic tests utilizing a computer and manufacturer's software to determine mechanical defects., • Lead preventative maintenance (PM's), safety maintenance inspections and annual maintenance inspections at prescribed intervals of time and usage, • Remove, overhaul and reinstallation of mechanical components with minimal Tech in Charge supervision, • Notify supervisor of potentially dangerous equipment and corrective action taken, • Evaluates completed work prior to release and seeks approval where required, • Leads road calls and emergency services as necessary, • Adhere to FirstGroup standards, policies and procedures, • Moves vehicles safely between job and work area, • Repair and maintain all shop equipment, • Other responsibilities as requested or required Minimum Education or Certifications Required • High school diploma or GED equivalent preferred; vocational or technical certification in vehicle repair (preferred), • Class B CDL with passenger endorsement required (or expected within 3 months of hire), • State inspection license (if required), • ASE Certification preferred. Must participate in ASE testing program (expected to have 6 ASE within 6 months of hire) Minimum Experience or Skills Required • Advanced mechanical aptitude and 5 years of automotive or diesel repair experience (preferred) or equivalent education and experience, • Adhere to standards set by state DOT for motor vehicle inspections and safety standards, • Valid driver's license, • Advanced problem-solving ability, • Advanced computer skills, • Comfortable using hand tools, • Excellent customer service skills and communication skills, • Ability to work independently as well as part of a team, • Maintain an organized shop and clean work environment, • Regular, predictable, full attendance is an essential function of the job, • Making sure vehicles are maintained and safe for our customers, • Possess adequate mechanic tool inventory to complete all assigned duties and maintained in a clean and safe manner Physical Requirements and Working Conditions • Maintenance Shop environment with dust, dirt and grease conditions, • Ability to work under all weather conditions, • Ability to lift a minimum of 50 pounds, • Ability to work in a crouched position or on back, lying on mechanic's creeper, beneath motor vehicle equipment Disclaimer Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. This job description reflects management's assignment of essential functions, it does not prescribe or restrict the tasks that may be assigned. First for a reason: At First Student, we are a family of 60,000+ employees who take pride in safely transporting more than 5 million students and passengers to and from their destinations each day! Our family of brands include Transco, Total Transportation, Maggies Paratransit, and GVC II. Our employees are at the forefront of safety and innovation; they create and implement the most advanced training and technology the transportation industry has to offer. In the state of Washington, all technician and driving positions, including but not limited to van drivers and any other position requiring employees to drive a company-owned vehicle, are considered safety-sensitive and are therefore subject to drug and alcohol testing, including cannabis. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. First is also committed to providing a drug-free workplace. First will consider for employment qualified applicants with criminal histories consistent with the requirements of the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Ordinance, and any other fair chance law. Philadelphia's Fair Criminal Record Screening Standards Ordinance Poster is at this link or upon request https://www.phila.gov/media/20210423160847/Fair-Chance-Hiring-law-poster.pdf. \nCompany Description About us An industry leader famous for our yellow school buses and service and safety excellence, we’ve provided student transportation services to schools for over 100 years. Continually investing in the services of the future, we’re proud to be part of FirstGroup America – the largest provider of safe, reliable and sustainable surface passenger transportation services in North America. Industry leader We safely operate more than one third of all contracted school buses in North America. Together our 50,000 school buses travel nearly 600 million miles per year — the equivalent of 1,200 round trips to the moon. We operate in around 550 locations throughout 38 U.S. states and 8 Canadian provinces. Innovation We were the first school bus company to utilize global positioning systems (GPS), so at any one time we know where all of our buses are and how fast they’re travelling. Passionate about safety, we’ve installed Safety Crossing Gates on the front of all of our school buses and use the Child Check-MateTM electronic reminder system to make sure no sleeping children remain inside a bus at the end of each route. Awards & recognition We won the Occupational Excellence Achievement Award from the National Safety Council two years in a row. Dedicated to safety, FirstGroup received the National Safety Council’s (NSC) Green Cross for Safety Medal - the highest award for safety in North America. Teamwork and trust It takes a diverse team of skilled professionals to provide a safe, effective and efficient student transportation system. From our school bus drivers and location managers to routers, dispatchers and fleet technician mechanics, the work we do every day makes a big impact on the daily lives of students, parents, local communities and school district partners. We’re very proud of our elite team of over 55,000 dedicated, caring and diverse professionals. And they are the #1 reason we’re trusted by over 1,400 school districts - more than any other provider. Everybody here plays their part in creating a positive school bus experience. Our culture We live and breathe our vision and values. They are embedded in our culture and drive our commitment to our customers and communities. Our culture fosters growth and promotes respect, reliability, responsibility and safety. And we recruit people who share these values and will work together to build strong and trusting partnerships in the communities we serve. Safety – Although our safety record is twice as safe as the industry average, we continually seek out opportunities to enhance our operational and safety initiatives. Learning – Through our learning culture that spans over 550 locations, we receive and share insight from our people to enhance our service now and in the future. Making a difference - By doing our job well, we make a positive impact on many lives – including the millions of students who travel with us every school day. Careers for all – We’re an Equal Opportunity Employer and an Employer of Choice. By consistently encouraging and supporting an open dialogue with our people and partners, we’re able to share new ideas and develop new ways to meet the needs of our customers and passengers. At First Student, you’ll feel empowered to serve your community. So join the team and start to make a difference. About us\r\nAn industry leader famous for our yellow school buses and service and safety excellence, we’ve provided student transportation services to schools for over 100 years. Continually investing in the services of the future, we’re proud to be part of FirstGroup America – the largest provider of safe, reliable and sustainable surface passenger transportation services in North America.\r\n\r\nIndustry leader\r\nWe safely operate more than one third of all contracted school buses in North America.\r\nTogether our 50,000 school buses travel nearly 600 million miles per year — the equivalent of 1,200 round trips to the moon.\r\nWe operate in around 550 locations throughout 38 U.S. states and 8 Canadian provinces.\r\n\r\nInnovation\r\nWe were the first school bus company to utilize global positioning systems (GPS), so at any one time we know where all of our buses are and how fast they’re travelling.\r\nPassionate about safety, we’ve installed Safety Crossing Gates on the front of all of our school buses and use the Child Check-MateTM electronic reminder system to make sure no sleeping children remain inside a bus at the end of each route.\r\n\r\nAwards & recognition\r\nWe won the Occupational Excellence Achievement Award from the National Safety Council two years in a row.\r\nDedicated to safety, FirstGroup received the National Safety Council’s (NSC) Green Cross for Safety Medal - the highest award for safety in North America.\r\n\r\nTeamwork and trust\r\nIt takes a diverse team of skilled professionals to provide a safe, effective and efficient student transportation system. From our school bus drivers and location managers to routers, dispatchers and fleet technician mechanics, the work we do every day makes a big impact on the daily lives of students, parents, local communities and school district partners.\r\n\r\nWe’re very proud of our elite team of over 55,000 dedicated, caring and diverse professionals. And they are the #1 reason we’re trusted by over 1,400 school districts - more than any other provider. Everybody here plays their part in creating a positive school bus experience.\r\n\r\nOur culture\r\nWe live and breathe our vision and values. They are embedded in our culture and drive our commitment to our customers and communities. Our culture fosters growth and promotes respect, reliability, responsibility and safety. And we recruit people who share these values and will work together to build strong and trusting partnerships in the communities we serve.\r\n\r\nSafety – Although our safety record is twice as safe as the industry average, we continually seek out opportunities to enhance our operational and safety initiatives.\r\nLearning – Through our learning culture that spans over 550 locations, we receive and share insight from our people to enhance our service now and in the future.\r\nMaking a difference - By doing our job well, we make a positive impact on many lives – including the millions of students who travel with us every school day.\r\nCareers for all – We’re an Equal Opportunity Employer and an Employer of Choice.\r\nBy consistently encouraging and supporting an open dialogue with our people and partners, we’re able to share new ideas and develop new ways to meet the needs of our customers and passengers. At First Student, you’ll feel empowered to serve your community. So join the team and start to make a difference.

Machine Learning Engineer 5 (IC)\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment\n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code\n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 6 years of experience programming with Python, Java, Golang, or C++\n, • At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 5+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans\n, • 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models\n, • 4+ years of on-the-job experience with an industry recognized ML framework such as Dask or XGboost.\n, • ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents\n, • Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5\n \n Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Manager, Machine Learning Engineer\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • \n The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: \n • \n Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams \n • \n Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale \n • \n Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) \n • \n Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n • \n Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications \n • \n Retrain, maintain, and monitor models in production \n • \n Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. \n • \n Construct optimized data pipelines to feed ML models \n • \n Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n • \n Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI \n • \n Use programming languages like Python, Scala, or Java \n\n \n Basic Qualifications: \n\n • \n Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) \n • \n At least 6 years of experience programming with Python, Java, Golang, or C++ \n • \n At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) \n • \n At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data \n • \n At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems \n\n \n Preferred Qualifications: \n\n • \n Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field \n • \n 5+ years of experience optimizing ML algorithms, configurations, and infrastructure \n • \n 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n • \n 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans \n • \n 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) \n • \n 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models \n • \n ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents \n • \n Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 4 - Intelligent Foundations and Experiences (IFX)\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data\n, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans.\n, • 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4\n \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Manager, AI Engineer (IFX)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One \n • \n Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One \n • \n Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI \n • \n Translate enterprise AI goals into actionable team roadmaps with measurable outcomes and regular readouts \n • \n Operationalize Responsible AI: establish review gates, documentation/evaluation requirements, and rollout/rollback standards for all production AI systems \n • \n Create strong collaboration interfaces with Research, Data, and Platform teams to accelerate model lifecycle \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies \n • \n At least 1 year of people leadership experience \n\n \n Preferred Qualifications: \n\n • \n 3 years of experience managing and leading an engineering team \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience leading technical strategy for a multi-disciplinary AI team, balancing research exploration with production delivery \n • \n Familiarity with MLOps, AI observability (evaluation pipelines, drift monitoring, model/version governance) to ensure reliability and compliance \n • \n Track record mentoring engineers/scientists to productize prototypes and meet production SLOs \n • \n Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for Sr. Manager, AI Engineer\n \n McLean, VA: $229,900 - $262,400 for Sr. Manager, AI Engineer\n \n New York, NY: $250,800 - $286,200 for Sr. Manager, AI Engineer\n \n San Jose, CA: $250,800 - $286,200 for Sr. Manager, AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description We are seeking a Fire Alarm Technician to join our Federal Systems team at our Schenectady, NY. At Johnson Controls, we support our nation’s most critical facilities, the people who occupy them, and the missions they enable. Johnson Controls Federal Systems (JCFS) is a specialized team serving as a trusted partner to the federal government. We help modernize U.S. military installations, Department of Defense and other federal agency facilities to be smarter, more resilient, efficient, sustainable, and secure. Location: Onsite in Schenectady, NY Pay Range: $30 -$34 /hour Shift: Primary hours are 7:00-3:30pm, Monday-Friday. Benefits: Eligible for benefits on first day of employment Vacation: 3 weeks of paid vacation per calendar year As a Fire Alarm Technician, you will: • Under direct supervision, completes assigned programming, commissioning, basic troubleshooting and preventive maintenance of fire alarm systems per contract obligations, • Assists experienced personnel with solutions to systems problems, either troubleshooting the system or advising others on how to resolve problems. Requires understanding of core and third party fire products, software and systems electrical technology., • Assists in performing required commissioning documentation. Provide accurate information for as-builts documentation., • Conducts testing to ensure proper operation of equipment after installation or repairs, • Adheres to safety standards and local and national codes, with a high degree of regard to employee and subcontractor safety., • Maintains appropriate local and National Fire Industry Certifications., • Read and interpret blueprints, diagrams, submittals, specifications, software/systems programs, schematics and operational product manuals, • Communicates with customer upon arrival and before leaving the work site. Continuous proactive customer interactions including an in-depth understanding of customer(s) needs wants and systems currently in place., • Completes paperwork and on site documentation as required., • Performs other duties as assigned Required Qualifications: • High School diploma or equivalent education, • Two or more years' experience with commercial fire alarm or fire suppression systems, • Ability to read and interpret blueprints, diagrams, submittals, specifications, software/systems programs, schematics and operational product manuals, • Ability to communicate effectively, orally and in writing, while establishing and maintaining cooperative working relationships., • Basic computer skills, • The ability to obtain and maintain required government security clearance to support this site required. (This involves a background/character, criminal history, employment, and credit check.) Preferred Qualifications • NICET certification, • Electronics certification from an accredited technical school or military electronics training preferred. Who We Are At Johnson Controls (NYSE:JCI), we are One Team working collaboratively to create purposeful solutions that make a difference in the world. We are a Fortune 500 company with more than 100,000 employees worldwide offering the world`s largest portfolio of building technology products, solutions and services. As a member of our Federal Systems team, your work matters. We value and recognize your contributions and want to help you succeed. We invest in our employees, provide opportunities for growth and advancement, and foster a culture of inclusion and respect. To learn more about who we are and what we do, please check out our _ video. Recently, Johnson Controls has been recognized by several organizations for leadership in Environment, Sustainability and Governance, as well as innovations in smart building platforms: • Named to _, • Corporate Knights Global _, • Named to Forbes _list, • CDP 2023 _', • Ranked 67 on the Drucker Institute’s list of _, • Forbes _, • Newsweek _, • Ethisphere 2024 _list for the 17th time, • Newsweek _, • Named to _listing, • Named to _, • Named one of the top military friendly employers by military.com. Johnson Controls is an equal employment opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, genetic information, sexual orientation, gender identity, status as a qualified individual with a disability, or any other characteristic protected by law. For more information, please view EEO is the Law. If you are an individual with a disability and you require an accommodation during the application process, please visit _ Division: JCFS (Johnson Controls Federal Systems) Job: 1559 #LI-JW2 #LI-Onsite

Sr. Manager, AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One \n • \n Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One \n • \n Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI \n • \n Translate enterprise AI goals into actionable team roadmaps with measurable outcomes and regular readouts \n • \n Operationalize Responsible AI: establish review gates, documentation/evaluation requirements, and rollout/rollback standards for all production AI systems \n • \n Create strong collaboration interfaces with Research, Data, and Platform teams to accelerate model lifecycle \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies \n • \n At least 1 year of people leadership experience \n\n \n Preferred Qualifications: \n\n • \n 3 years of experience managing and leading an engineering team \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience leading technical strategy for a multi-disciplinary AI team, balancing research exploration with production delivery \n • \n Familiarity with MLOps, AI observability (evaluation pipelines, drift monitoring, model/version governance) to ensure reliability and compliance \n • \n Track record mentoring engineers/scientists to productize prototypes and meet production SLOs \n • \n Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for Sr. Manager, AI Engineer\n \n McLean, VA: $229,900 - $262,400 for Sr. Manager, AI Engineer\n \n New York, NY: $250,800 - $286,200 for Sr. Manager, AI Engineer\n \n San Francisco, CA: $250,800 - $286,200 for Sr. Manager, AI Engineer\n \n San Jose, CA: $250,800 - $286,200 for Sr. Manager, AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 4 (Manager, IC)\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans.\n, • 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Chicago, IL: $179,400 - $204,700 for Machine Learning Engineer 4\n \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

We are seeking a Product Operations Lead for a rapidly growing AI Native fintech leader in New York City. This is a hands-on role for a Product Operations leader who is comfortable working at the intersection of operations, AI, product, and technology. \n This individual will build and run scalable operating systems, implement AI-enabled tools and automation, and play a hands-on role in translating business and financial requirements into working, tested technology solutions. \n This is not a traditional strategy or oversight position. We are looking for a builder who enjoys getting into the details, building systems, solving complex problems, and driving execution from concept through implementation. \n \n The Right Fit for this role can design a financial operating model at a high level, but is equally comfortable opening the tools, examining the data, building a workflow, testing an output, identifying what isn't working, and driving the solution through completion. \n You don't simply develop AI strategies or manage technology projects. You understand how operational systems and technology actually get built and implemented, and you can demonstrate examples of what you have personally created, improved, tested, or delivered. \n This is an opportunity to have significant impact in a growing AI-Native organization and help build its operating infrastructure from the ground up. \n \n What You'll Do \n\n • Design and implement scalable operating processes and systems across a multi-location, multi-entity environment.\n, • Identify inefficient or manual workflows and improve them using AI, automation, and modern technology.\n, • Build and implement AI-enabled operational tools, including agentic workflows, custom GPTs, prompt-driven solutions, workflow automation, dashboards, and automated reporting.\n, • Develop KPIs, performance-monitoring systems, and analytics that provide leadership with real-time operational visibility.\n, • Translate operational and financial requirements into clear methodologies and business logic that can be implemented within technology platforms.\n, • Own structured build and release tracking, including backlog triage, ownership, priorities, dependencies, blockers, and escalations.\n, • Partner closely with Product and Technology to sequence technical work based on business priorities, dependencies, and deployment readiness.\n, • Maintain sufficient familiarity with GitHub/git-based development environments to understand repository activity, branches, commits, and build status.\n, • Personally test new functionality against defined acceptance criteria and help determine when solutions are truly ready for deployment.\n, • Create repeatable operating playbooks and processes that support growth and the integration of new business units or partners.\n, • Establish a strong operating cadence across leadership and cross-functional teams.\n, • Drive continuous improvement through experimentation, data, automation, and feedback loops.\n\n \n Skills and Experience \n\n • 7+ years of experience in AI/operations, technical program management, business operations, or a related operating role. Start up experience strongly preferred.\n, • Demonstrated experience building and standardizing operational systems in a complex or scaling organization.\n, • Strong hands-on AI fluency, including experience with agentic workflows, custom GPTs, prompt design, workflow automation, and systems integration.\n, • A track record of personally using technology to eliminate manual work and improve operational performance.\n, • Experience owning a structured backlog, issue-tracking, or build-governance process using tools such as Jira, Notion, Linear, or similar platforms.\n, • Strong quantitative and financial aptitude, including experience developing operational or financial calculations, models, or methodologies.\n, • Ability to work effectively with Product and Engineering teams and understand technical dependencies and build status.\n, • Strong analytical, systems-thinking, and problem-solving skills.\n, • Comfortable working directly in the details rather than primarily managing large teams or outside consultants.\n, • Ability to move quickly from problem → methodology → build → testing → implementation → measurable impact.\n\n \n Nice to Have: Working knowledge of GitHub/git and software development workflows. Experience in a high growth SaaS, PaaS, fintech/tech financial services, accounting or vertical AI environment. Operational transformation and experience building AI enabled productivity, reporting, or decision support tools.

Job Title: Health-Tech Software Fellow – (Gap Year / Pre-Med) Location: New York, NY (On-site) Employment Type: Full-time, Hourly (40 hrs/week, non-exempt) Compensation: $20.00/hour (with overtime for hours exceeding 40/week) About Sigmund Healthcare Sigmund Healthcare is an intelligent clinical assistant platform designed by clinicians to streamline psychiatric care—from intake and longitudinal tracking to session documentation. Originating from the Sultan Lab for Mental Health Informatics at Columbia University Irving Medical Center, Sigmund collaborates with leading institutions including NewYork-Presbyterian, Harvard, Mount Sinai, and Weill Cornell. We bridge cutting-edge clinical machine learning with real-world psychiatric workflows across pediatric, adolescent, and adult care. Role Overview We are seeking a motivated, mission-driven recent college graduate to join our team on-site in New York City as a Junior Software Developer / Health-Tech Software Fellow. This role is specifically tailored for individuals passionate about the intersection of software engineering, mental health, and clinical medicine—making it an ideal 1–2 year launchpad for candidates planning to apply to medical school (MD/DO), graduate programs in biomedical informatics or computational neuroscience, or health-tech careers. In this role, you will gain hands-on experience building, testing, and scaling clinical services that directly support psychiatric clinicians and patients. Working alongside clinical researchers, faculty, and engineers, you will translate complex psychiatric workflows into robust software while receiving direct mentorship in clinical informatics, modern full-stack architectures, and health-tech compliance. Who Should Apply • Pre-Med & Gap-Year Candidates: Recent graduates seeking substantive, clinically integrated technical experience and faculty mentorship before entering medical school., • Interdisciplinary Thinkers: Individuals with backgrounds bridging Computer Science, Computational Neuroscience, Cognitive Science, Biomedical Engineering, or Informatics who want to apply software skills to mental healthcare., • Mission-Driven Problem Solvers: Candidates committed to improving psychiatric care delivery and workflows through thoughtfully engineered technology. Key Responsibilities • Develop and maintain backend services, RESTful APIs, and database schemas supporting clinical workflows., • Write clean, maintainable, and well-tested code using modern software design principles., • Collaborate directly with clinicians and researchers to prototype, test, and iterate on new platform features., • Assist in integrating third-party clinical APIs, data pipelines, and internal tooling., • Participate in code reviews, technical discussions, and system reliability/security optimizations (including HIPAA best practices). Qualifications • Education: Bachelor’s degree in Computer Science, Software Engineering, Data Science, Biomedical Informatics (exposure to life sciences/mental health a strong bonus)., • Core Fundamentals: Solid foundation in data structures, algorithms, object-oriented programming (OOP), and database fundamentals., • Technical Skills: Familiarity with modern backend languages/frameworks (e.g., Python, Node.js, TypeScript), REST APIs, SQL/NoSQL databases, and Git version control., • Mindset: Eagerness to take ownership of features, learn rapidly under direct mentorship, and solve ambiguous technical problems., • Collaboration: Strong written and verbal communication skills; comfortable interfacing with both technical teammates and clinical partners., • Bonus: Prior exposure to healthcare data, HIPAA compliance concepts, full-stack development, or academic research projects. What We Offer • Direct Clinical Impact: Build software actively utilized in an outpatient psychiatric clinic., • Mentorship & Pedigree: Work alongside clinical informatics faculty, machine learning researchers, and experienced engineers at the intersection of medicine and technology., • Career Launchpad: Exceptional preparation and mentorship for future careers in high-growth health-tech, software engineering, or top-tier medical/graduate school programs.

About Us Surgeon Decision Intelligence (SDI) is an emerging leader in AI-driven medical imaging solutions for orthopedic care. Founded by a team of orthopedic spine surgeons and medical students from the Hospital for Special Surgery, the world’s best orthopedic hospital, our mission is to transform patient care by developing quantitative imaging biomarkers to inform treatment approaches for a broad spectrum of musculoskeletal disease and predict associated outcomes. We combine cutting-edge computer vision, medical image analysis, and machine learning to unlock new insights from MRI imaging, one of the most widely obtained modalities of medical imaging, accelerating the translation of novel imaging biomarkers from research into clinical practice. Our team is passionate about bridging the gap between advanced computational methods and real-world healthcare impact. Position Summary The Principal Software Quality Engineer is responsible for leading software quality assurance activities for our Class II AI/ML-based Software as a Medical Device (SaMD). This role provides technical leadership and quality oversight across the full software lifecycle, including design controls, risk management, verification and validation, cybersecurity, release management, post-market activities, change control, and quality system compliance. You will work closely with Software Engineering, Machine Learning, Product, Regulatory, Clinical, and Cybersecurity teams to ensure our software is developed, tested, released, maintained, and changed in a controlled, compliant, and risk-based manner that supports product safety, effectiveness, and quality, including Quality System requirements. You will also provide technical oversight, mentoring, and review of work performed by internal teams, consultants, contractors, and third-party service providers. Essential Responsibilities: The Principal Software Quality Engineer is responsible for supporting and leading software quality activities across the full product lifecycle, including design, development, verification, validation, release, maintenance, and post-market change control. Essential responsibilities include, but are not limited to, the following: · Provide software quality engineering leadership for the Company’s Class II AI/ML-based Software as a Medical Device. · Support compliance with applicable medical device software regulations, standards, guidance documents, and internal quality system procedures. · Provide Quality oversight for software lifecycle activities, including requirements, design, development, verification, validation, release, maintenance, and change control. · Review and approve software quality documentation, including software requirements, design documentation, risk analyses, cybersecurity risk analyses, traceability matrices, verification protocols, validation protocols, test reports, release documentation, and change records. · Ensure software requirements are clear, testable, traceable, risk-based, and aligned with user needs and intended use. · Support design control activities, including design inputs, design outputs, design reviews, design verification, design validation, design transfer, and design changes. · Ensure appropriate traceability among requirements, design outputs, risk controls, verification testing, validation testing, defects, and released software. · Provide quality oversight for AI/ML-related software activities, including algorithm performance documentation, dataset considerations, acceptance criteria, validation activities, and change impact assessments. · Support software verification and validation activities, including test plans, test cases, automated testing, regression testing, performance testing, cybersecurity testing, deviations, anomalies, and final reports. · Evaluate software defects, deviations, and unresolved anomalies for safety, performance, cybersecurity, regulatory, and release impact. · Support software release readiness reviews and confirm required testing, documentation, risk assessments, cybersecurity activities, and approvals are complete. · Review and approve software change requests and impact assessments, including impact to requirements, risk management, cybersecurity, validation, labeling, and regulatory documentation. · Provide quality oversight for cloud-based software deployment, configuration management, access controls, release controls, CI/CD processes, source code repositories, and software development tools. · Support cybersecurity quality activities, including review of threat models, vulnerability assessments, penetration testing results, SBOM documentation, vulnerability dispositions, and cybersecurity risk mitigations. · Support supplier quality activities for software-related suppliers, cloud service providers, software development contractors, cybersecurity vendors, and other third-party service providers. · Support post-market software quality activities, including complaint investigations, CAPA, nonconformances, field issues, software patches, and maintenance releases. · Provide quality input for regulatory submissions and responses to regulatory questions related to software, cybersecurity, risk management, and verification and validation. · Participate in internal audits, external audits, supplier audits, and regulatory inspections related to software quality and SaMD development. · Identify and support improvements to software quality processes, design controls, risk management, verification and validation, cybersecurity, and release management. · Mentor cross-functional team members on software quality expectations, documentation practices, risk-based thinking, and medical device software compliance. · Oversee our cloud infrastructure (Azure/AWS), CI/CD pipelines, and DevSecOps practices. Minimum Qualifications: To be qualified for this role, the Principal Software Quality Engineer shall meet the following requirements: · Bachelor’s degree in Software Engineering, Computer Science, Biomedical Engineering, Electrical Engineering, Systems Engineering, or a related technical discipline. · Minimum of 8 years of experience in software quality engineering, software development, software verification and validation, quality engineering, or related medical device software role. · Minimum of 5 years of experience working in a regulated medical device, SaMD, digital health, diagnostic imaging, healthcare software, or other regulated life sciences environment. · Demonstrated knowledge of medical device design controls and software lifecycle requirements. · Demonstrated knowledge of the US FDA’s expectations for maintaining AI/ML-enabled medical devices including predetermined change control plans, real-world performance monitoring, and algorithm change management. · Experience with software verification and validation, including review of test plans, protocols, test cases, test results, deviations, anomalies, and traceability. · Experience with risk management for medical devices, including hazard analysis, software risk analysis, cybersecurity risk analysis, and risk control verification. · Working knowledge of applicable standards and regulations, such as 21 CFR Part 820, ISO 13485, ISO 14971, IEC 62304, IEC 62366-1, and FDA guidance for medical device software. · Experience supporting software change control, release readiness, configuration management, and defect management. · Experience working with cross-functional teams, including software engineering, product, regulatory, clinical, cybersecurity, and quality. · Strong technical writing skills, including ability to write and review clear, complete, and audit-ready quality records. · Strong analytical and problem-solving skills, including ability to assess technical issues for quality, safety, cybersecurity, regulatory, and business impact. · Ability to work independently, prioritize work, and provide technical leadership in a fast-paced development environment. · Proficiency in English, including ability to read, write, review, and approve technical and quality documentation. Preferred qualifications include: · Master’s degree in Software Engineering, Computer Science, Biomedical Engineering, Regulatory Science, Quality Assurance, or a related discipline. · Experience with AI/ML-enabled medical devices, imaging software, quantitative imaging biomarkers, radiology workflows, MRI image processing, or clinical decision-support software. · Experience with Class II SaMD regulatory submissions, including US FDA 510(k) submissions. · Experience with cloud-based software platforms and Microsoft Azure. · Experience with cybersecurity documentation for medical devices, including threat modeling, SBOM review, vulnerability assessment, penetration testing, and cybersecurity risk management. · Experience with automated testing frameworks, CI/CD pipelines, DevOps practices, GitHub, Jira, Azure DevOps, or similar tools. · Experience with software tool validation or computer software assurance. · Experience supporting US FDA inspections, ISO 13485 audits, MDSAP audits, supplier audits, or EU notified body audits. · ASQ Certified Software Quality Engineer, Certified Quality Engineer, Regulatory Affairs Certification, or similar professional certification. Location Remote (U.S.) temporarily, but able to transition to in-person work in New York City in approximately 6 months. Compensation Highly competitive salary + equity + benefits, commensurate with experience. If you’re excited about our mission, we want to hear from you. The base salary for this role is $200,000 - 270,000. How to Apply • If you’re excited to help shape the future of quantitative imaging biomarkers and medical AI, send your resume and a brief introduction to nathooi@sdi-global.ai (Isaac).

Machine Learning Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n Enterprise Platforms Technology (EPTech) comprises many of Capital One’s most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. \n \n Team: \n The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data\n, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans.\n, • 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4\n \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n Plano, TX: $179,400 - $204,700 for Machine Learning Engineer 4\n \n Richmond, VA: $179,400 - $204,700 for Machine Learning Engineer 4\n \n San Francisco, CA: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Position: Senior Product Manager Location: New York, NY (Hybrid – 4 days onsite per week) Duration: DIRECT HIRE – FULL TIME Summary: We are seeking a Senior Product Manager to lead AI-powered products used by clinicians to review patient context, make informed decisions, and complete documentation. You will deliver solutions within major health systems while partnering with engineering, AI/ML, clinical, design, and client-facing teams. Skills/Experience Needed: • Healthcare or health-tech product management experience., • Experience building clinician-facing tools, products, or features., • Experience with clinical workflows and EMR/EHR integrations; Epic experience is highly preferred, although other EMR/EHR platforms may be considered., • Experience launching clinician-facing products on EMR or EHR platforms., • 4+ years of product management experience delivering consumer-facing or B2B2C software., • Experience owning at least one product end-to-end, from an ambiguous problem through launch., • Experience working with AI/ML-powered products, including an understanding of non-deterministic behavior, model evaluation, and AI behavior as part of the product experience., • Strong analytical skills, including independently analyzing data and defining product metrics., • Experience operating in regulated, high-stakes environments., • Client-facing experience presenting to and working with clinical, operational, and executive stakeholders. Responsibilities: • Own clinician-facing products, including intake summaries, AI-generated patient context, review and override workflows, and documentation-support tools., • Manage the end-to-end encounter workflow, from AI-gathered context through clinical decision-making and documentation., • Define how AI-generated information, reasoning, and confidence are presented to clinicians., • Design workflows that allow clinicians to review, correct, or override AI-generated outputs., • Reduce clinical workload by saving time, removing unnecessary clicks, and decreasing documentation burden., • Work directly with practicing physicians to ensure product workflows reflect real clinical behavior., • Partner with clinical leadership on safety reviews and escalation protocols., • Translate clinical trust and safety requirements into measurable, implementable product behavior with engineering and AI/ML teams. Preferred: (Nice to have) • Clinical experience or significant experience working directly with clinicians., • Hands-on experience with LLM evaluation, prompt design, or model-behavior testing.

Are you an experienced Trade Desk Support Associate with a desire to excel? If so, then Talent Software Services may have the job for you! Our client is seeking an experienced Trade Desk Support Associate to work in New York, NY. Title: Trade Desk Support Associate Location: Office Location: 4 Times Square New York, NY- Hybrid 2-3 days a week in office to be discussed with HM Duration: 12 months Job Summary The Trade Desk Support Associate supports front-office sales and trading activities by ensuring timely and accurate trade processing, reconciliation, lifecycle event management, and operational support across financial products. The role partners with traders, sales teams, operations, technology, compliance, and clients to support efficient transaction processing and maintain a strong control environment. Key Responsibilities • Support daily trade capture, validation, and booking activities to ensure accurate downstream processing and settlement., • Investigate and resolve trade breaks, exceptions, and reconciliation discrepancies., • Perform trade affirmation, allocation, and lifecycle event processing activities., • Partner with traders and sales teams to address operational issues, client inquiries, and transaction-related requests., • Monitor transaction processing controls and escalate issues, risks, or regulatory concerns when appropriate., • Coordinate with Operations, Technology, Compliance, and external counterparties to support successful trade execution and settlement., • Support implementation of new products, business initiatives, and technology enhancements., • Maintain process documentation, procedures, and audit evidence in accordance with regulatory and internal requirements., • Participate in testing, system upgrades, and process improvement initiatives to enhance efficiency and scalability. Qualifications & Competencies • Bachelor’s degree in Finance, Business, Economics, Accounting, Computer Science, or a related field preferred., • Up to 5 years of experience in trade support, capital markets operations, middle office, or financial services., • Understanding of capital markets products such as fixed income, equities, repo, foreign exchange, or derivatives., • Experience working with trading systems, market data platforms, and operational workflows., • Advanced Microsoft Excel skills; SQL, VBA, Python, or automation knowledge is an asset., • Strong analytical, problem-solving, and organizational skills., • High attention to detail and transaction accuracy., • Strong risk and control mindset., • Ability to work under pressure in a fast-paced trading environment., • Effective communication and stakeholder management skills., • Strong client service orientation., • Ability to manage multiple priorities and deadlines., • Continuous improvement and process optimization mindset. Typical Functional Activities • Trade Bookings, • Trade Validation & Reconciliation (FOBO), • Trade Affirmation & Allocation, • Break Remediation, • Life Cycle Event Processing, • Sales & Client Support, • Trader Support, • Regulatory Monitoring, • Cash Movement & Settlement Support, • Product and System Testing, • Process Improvement & Automation Initiatives Location This exciting opportunity is based in the vibrant city of New York, offering a dynamic and fast-paced work environment in the heart of the financial industry. Executive Summary • Trade Desk Support Associates provide operational and technical support to sales and trading desks by ensuring accurate transaction processing, managing trade lifecycle events, resolving exceptions, and serving as the primary liaison between front office, operations, technology, and clients.

Software Engineer, Data & ML Infrastructure Location: New York City (Remote to In-Person) Full Time Company: Surgeon Decision Intelligence About Us Surgeon Decision Intelligence (SDI) is an emerging leader in AI-driven medical imaging solutions for orthopedic care. Founded by a team of orthopedic spine surgeons and medical students from the Hospital for Special Surgery, the world’s best orthopedic hospital, our mission is to transform patient care by developing quantitative imaging biomarkers to inform treatment approaches for a broad spectrum of musculoskeletal disease and predict associated outcomes. We combine cutting-edge computer vision, medical image analysis, and machine learning to unlock new insights from MRI imaging, one of the most widely obtained modalities of medical imaging, accelerating the translation of novel imaging biomarkers from research into clinical practice. Our team is passionate about bridging the gap between advanced computational methods and real-world healthcare impact. We work closely with clinical collaborators, surgeons, and research partners to ensure our models meet the highest standards for accuracy, interpretability, and reproducibility. Position Summary We’re hiring a Software Engineer to help build and maintain the data and infrastructure backbone of our AI/ML platform. You’ll work directly with our Senior AI/ML Engineer on the systems that power everything we do: a PostgreSQL clinical and imaging database, cloud storage for medical imaging studies, internal APIs, and the tooling and CI/CD infrastructure that keeps our ML codebase reliable and reproducible. This is a hands-on engineering role, not a research role. You’ll write production Python, own database migrations and data-quality tooling, help migrate legacy code into well-structured packages, and build the internal services that our ML and clinical teams depend on. It’s an excellent fit for an engineer who takes pride in clean, well-tested, well-documented software and wants meaningful exposure to medical imaging and applied ML in a regulated domain. Key Responsibilities • Develop and maintain our PostgreSQL database layer: schema changes, SQLAlchemy ORM models, Alembic migrations, and data-integrity constraints, • Build and maintain data ingestion, validation, and ETL pipelines for clinical outcomes data and medical imaging metadata (DICOM), • Contribute to internal FastAPI services, including endpoints for imaging metadata, annotations, and access control, • Support our Azure cloud infrastructure: blob storage for imaging studies, containerized service deployments, and authentication/authorization workflows, • Help migrate legacy research code into versioned, dependency-managed Python packages following team engineering standards, • Write and maintain CI/CD pipelines, tests, and developer tooling that keep the codebase reliable and reproducible, • Build supporting tooling for ML workflows: dataset extraction and export, experiment/artifact tracking support, and data provenance, • Participate in code review and contribute to team engineering standards and documentation Qualifications • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience, • 3+ years of professional software development experience with Python, • Solid working knowledge of SQL and relational databases (PostgreSQL preferred), including schema design and query optimization, • Experience with software development lifecycle practices such as version control, testing, CI/CD, and collaborative development workflows., • Experience with data and ML infrastructure (e.g., data pipelines, feature stores, model deployment, containerization, orchestration frameworks)., • Experience with cloud-based ML pipelines (Azure) and infrastructure-as-code tools., • Proficiency with Git and collaborative development workflows (branching, pull requests, code review), • Experience writing tested, documented, production-quality code with type hints and modern Python packaging practices, • Strong communication skills and comfort working in a small, fast-moving team Preferred Skills and Qualifications • Experience with an ORM and database migration tooling (e.g., SQLAlchemy and Alembic), • Experience building REST APIs with FastAPI or a similar Python web framework, • Experience with Azure (blob storage, container apps, Entra ID) or another major cloud platform, • Familiarity with Docker and CI/CD systems (e.g., GitHub Actions), • Experience with healthcare data: DICOM, medical imaging pipelines, clinical registries, or EHR-derived datasets, • Understanding of HIPAA and handling PHI in production systems, • Familiarity with ML engineering tooling (e.g., MLflow, model/data versioning) and supporting ML teams, even without direct modeling experience, • Experience with modern Python dependency management (e.g., uv, Poetry) and publishing internal packages, • Experience working in or migrating legacy codebases toward better structure and standards, • Experience with software quality practices for regulated medical software, including requirements traceability, validation, configuration management, and controlled releases, • Experience with orchestration or workflow systems for data/ML pipelines, specifically Databricks. Why Join Us? At SDI, you’ll be part of a mission-driven team working at the frontier of medical AI. You will have the opportunity to: • Contribute to technology that could redefine clinical management of musculoskeletal health and diseases., • Work with a diverse and inclusive multidisciplinary team of engineers and clinicians., • Grow your skills in a dynamic, fast-moving startup environment. Location Remote (U.S.) temporarily, but able to transition to in-person work in New York City in about 6 months. Compensation Highly competitive salary + equity + benefits, commensurate with experience. If you’re excited about our mission, we want to hear from you. The base salary for this role is $140,000 - 175,000. Surgeon Decision Intelligence provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Cytogenetic Technologist & BIOINFORMATICS CYTOGENETIC TECH New York, NY MUST HAVE CANCER CYTOGENETICS EXPERIENCE CALL OR TEXT KATHY @ STAFF ICONS AT 551-795-1471 OR CALL/TEXT IBIANKA AT STAFF ICONS AT 201-925-4047 The Tumor Cytogenomics laboratory provides comprehensive genomic services for malignant hematological disorders, lymphomas and some solid tumors including breast cancer, sarcoma, urothelial carcinoma, melanoma, lung cancer etc. The Tumor Cytogenomics laboratory performs chromosome analysis for the diagnosis of acquired genomic rearrangements associated with hematopoietic disorders and some solid tumors. Complementary molecular technology using chromosomal, gene-specific probes, through fluorescence in situ hybridization (FISH) and array comparative genomic hybridization with single nucleotide polymorphism (aCGH+ SNP) used to document molecular rearrangements, such as gains, losses, and gene rearrangements providing additional information on genomic changes that are not otherwise detected with other clinical tests. The cytogenetics, FISH, and aCGH +SNP results are mandatory for the diagnosis, prognosis, risk stratification and have therefore therapeutic implications for patients. Job Summary The Tumor CytoGenomics technologist must hold a NYSDOE license with a minimum of one year of laboratory experience in cytogenetics (may include one year as part of training for licensure). For each technologist, it is required to: • To perform all techniques involved in processing patient samples including peripheral blood, bone marrow, and other tumor tissue., • Possess technical understanding of microscopy (bright field, phase, inverted light, fluorescence), and utilize it for routine maintenance and calibration necessary for daily work., • To provide extensive analysis and evaluation of chromosomal preparations, having a thorough knowledge in cytogenetics theory and principles., • To provide extensive analysis using FISH technology (basic knowledge in FISH clinical testing)., • To provide clinical correlations of observed abnormalities with diagnostic and prognostic stages in disease states., • To provide extensive analysis using aCGH+SNP (basic knowledge in molecular testing is required for test interpretation)., • Ability to discern acquired genetic variants (molecular and chromosomal) against the disease background is expected., • To perform base-line functional checks, quality checks and basic maintenance records of high complexity testing equipment (automated microscopy, digital imaging, and robotic processor)., • To provide technical assistance in evaluating the effectiveness and efficiency of new protocols, learn and practice modern developments in cancer CytoGenomics., • To work solely with sophisticated CytoGenomics software (automated image capture and scanning software, array software) integrated with laboratory information system, to produce result reports. Basic technical knowledge in computers and interface connectivity for peripheral devices is necessary., • To demonstrate proficiency with Soft Gene Cytogenetics module (SCC) from specimen processing all the way through result reporting; including database searches; and result retrieval based on the knowledge of hospital laboratory interface system (LIS). Responsibilities • Adhering to the laboratory's standard operating procedure (SOP) for specimen handling and processing, test analyses for conventional and molecular (FISH) cytogenetics, reporting and maintaining records of test examinations., • Follow the laboratory's policies and procedures whenever test systems are not within the laboratory's established acceptable levels of performance, • Maintain up-to-date knowledge of state, federal and institutional standards regulatory compliance for accreditation and certification: College of American Pathologist (CAP), New York State Department of Health (NYSDOH), and others., • Maintain records that demonstrate that proficiency testing samples are tested in the same manner as patient specimens., • Adhere to the laboratory's quality control policies, document all quality control activities, instrument and procedural calibrations and service records., • Be capable of identifying problems that may adversely affect test performance or test results and either correct the problems or immediately notify the supervisor or director., • Document all corrective actions taken when test systems deviate from the laboratory's established performance specifications., • To perform expedited analysis of cases with an acute conditions; requiring, to work outside of the normal working hours, under pressure. Laboratory personnel rotate by working during holidays, weekends and late-shift assignments., • Learn and master new and improved cytogenetic and molecular methods to increase the efficiency of testing and reduce TAT of clinical tests. This includes laboratory developed tests (LDT's): assay development, testing, method validation, and implementation., • Be proficient with the laboratory-used LIS system developed for cytogenetic testing, and troubleshoot basic issues pertaining to it., • Interact with physicians, nurses, and physician assistants regarding patient results, treatment status, and consult on specimen sampling., • Provide preliminary results of STAT/RUSH specimens, to the Supervisor and Director, for immediate communication to the physicians (critical alerts). Aptitude in this capacity is reached within 1 year of work., • To actively teach pathology residents/fellows on rotation (6-10/year); and to train new junior staff members as per the Accreditation Council for Graduate Medical Education (ACMGE) requirements. Qualifications : • Must have bachelor's degree (BA or B.Sc. or B.S.) in a science discipline., • NY Clinical Lab Technologist generalist license or restricted to cytogenetics, • Must have either a minimum of one year training in a facility approved by the NYSDOE license (Cytogenetics) or a degree in molecular cytogenetics, or be a trainee in the lab for a year., • Recommend holding a certificate of qualification, from an approved agency such as American Society of Clinical Pathology (ASCP)., • Performance of a technologist in a cytogenetic laboratory is entirely dependent on experience in a busy clinical lab. Bioinformatics – Cytogenetics/FISH Technologist Location: New York Schedule: Full-Time Job Summary We are seeking a Bioinformatics – Cytogenetics/FISH Technologist with experience supporting genomic analysis workflows, particularly within cancer genomics, long-read sequencing, germline and somatic variant analysis, and complex structural variation. This position will focus heavily on the development, integration, optimization, and troubleshooting of bioinformatics workflows used to analyze complex genomic datasets. The successful candidate will have the ability to identify clinically relevant genomic alterations, including large chromosomal aberrations, structural variants, germline variants, and somatic variants, while working with multiple sequencing and variant-calling platforms. Experience in Cytogenetics and/or FISH is highly desirable because it provides additional insight into chromosomal abnormalities and complex genomic variation; however, this role is primarily focused on computational genomic analysis and bioinformatics workflow development.

🚀 Expert Forward Deployed Engineer | Java, DevOps, SRE & Security Solve complex engineering problems. Modernize critical banking applications. Make a measurable impact. The project is focused on improving the security, release reliability, maintainability, and operational resilience of business-critical banking applications. Forward Deployed Engineers will conduct targeted, hands-on engagements with development teams that are facing challenges with vulnerability remediation, automated testing, legacy technology, production stability, or achieving a safe and rapid release cadence. The role combines senior software engineering, DevOps, SRE, test automation, application security, and legacy modernization. Approximately 70% of the work involves hands-on coding and configuration. The technical scope includes building effective automated test suites, remediating security vulnerabilities, performing dependency and reachability analysis, upgrading Java and NPM runtimes, modernizing Spring and legacy middleware applications, improving CI/CD pipelines, containerizing applications, automating deployments, and introducing standard observability and resilience patterns. The Expert FDE is expected to lead complex engagements, work directly with development and client stakeholders, define the technical remediation approach, implement critical changes personally, and enable client teams to maintain the improved engineering practices. Responsibilities: • Lead targeted technical engagements addressing security, testing, release, resilience, and legacy technology challenges with development teams., • Assess application code, dependencies, runtime environment, test coverage, deployment architecture, CI/CD pipelines, observability, and operational risks., • Write, debug, review, and enhance production-quality code and configuration throughout engagements., • Define and implement practical modernization and remediation plans with clear priorities, dependencies, risks, and measurable outcomes., • Develop or improve unit, integration, component, contract, and deployment smoke tests using Test-Driven Development practices., • Select appropriate automation-testing approaches per application and drive implementation, including the use of AI coding assistance., • Source suitable test data and implement secure data masking for lower environments., • Conduct vulnerability triage, root-cause and dependency reachability analyses, remediation prioritization, secure code changes, and regression testing., • Upgrade Java, JVM, NPM, Spring, open-source libraries, internal dependencies, installed software, base images, and operating systems to supported versions., • Establish sustainable dependency-management processes with continuous library updates using Renovate or equivalent tools., • Modernize legacy applications and middleware stacks, including those deployed on WebSphere or WebLogic., • Containerize applications using Docker and support deployment to OpenShift., • Improve source control, branch management, pull-request, and code-review practices., • Design, implement, and optimize CI/CD pipelines to ensure safe, repeatable, automated, and easy releases., • Automate database changes using Liquibase or equivalent migration tools., • Automate installed software and environment changes using Ansible or equivalent configuration management tools., • Implement secure coding patterns, secrets management, authentication, authorization, and least-privilege controls., • Introduce standard observability patterns, including structured logging, application metrics, tracing, dashboards, alerting, and actionable health checks., • Enhance exception handling, operational diagnostics, rollback procedures, and production-validation controls., • Design or improve resilient deployment architectures, including hot-hot cross-datacenter deployments where required., • Lead technical workshops and effectively communicate technical decisions, risks, blockers, trade-offs, and progress to engineering, security, architecture, operations, project management, and stakeholders., • Provide technical leadership through code reviews, coaching, reusable standards, documentation, and knowledge transfer to development teams., • Take ownership from initial assessment through implementation, production deployment, stabilization, and handover. Mandatory Skills Description: The role demands extensive hands-on software engineering experience, with a focus on developing and maintaining production applications. Candidates must actively write and configure code, not merely oversee architecture or management tasks. Expertise in Java and JVM-based development is essential, while strong TypeScript skills are valued for Node.js-centric projects. Proficiency with the Spring ecosystem and modernizing Java enterprise applications is required. The candidate should demonstrate recent personal involvement in coding, debugging, and reviewing production code. Hard skills include practical experience in Test-Driven Development across multiple testing frameworks, with a solid understanding of various testing types such as unit, integration, and regression tests. The role involves creating automated test suites integrated within CI/CD pipelines, along with designing release automation and quality gates. Strong knowledge of secure coding practices, vulnerability remediation, and dependency risk management is necessary, including the ability to analyze application impacts before applying security fixes. Experience upgrading runtimes, frameworks, libraries, container platforms like Docker or OpenShift, and managing Linux environments—preferably Red Hat Enterprise Linux—is also important. Familiarity with build tools such as Maven, Gradle, or npm, advanced Git workflows, and comprehensive production-debugging techniques is expected. Candidates should understand application observability, exception handling, and production readiness, as well as fundamental distributed and critical system engineering principles. Soft skills focus on demonstrated ownership of complex technical work through all stages, from design to production handover. Strong client-facing communication is essential, including leading technical discussions, constructively challenging unsafe practices, and explaining trade-offs to diverse stakeholders. The ability to coach engineers and implement sustainable engineering standards without excessive customization is critical. Responsible and active use of AI coding tools to enhance engineering, testing, and delivery outcomes is also expected. Hard skills: • Java/JVM and optionally TypeScript development with Spring ecosystem expertise, • Test-Driven Development and automated testing within CI/CD frameworks, • Secure coding, vulnerability management, and dependency risk analysis, • Runtime, framework, library upgrades, and container platform management, • Linux system administration, build tools, Git workflows, and production debugging, • Application observability and distributed system engineering principles Soft skills: • End-to-end ownership of technical projects, • Effective client communication and technical leadership, • Coaching and sustainable standards implementation, • Proficient use of AI-assisted development tools Nice-to-Have Skills Description: • Experience modernizing or migrating applications hosted on IBM WebSphere or Oracle WebLogic, demonstrating familiarity with these platforms., • Experience with major-version upgrades and migration from older versions of Spring or Spring Boot, indicating proficiency in framework transitions., • Experience configuring continuous dependency-update tools such as Renovate or Dependabot, showing capability in automating dependency management., • Experience with dependency reachability analysis, Software Composition Analysis, CVE assessment, and remediation of transitive dependencies, reflecting knowledge of software security and compliance., • Experience automating database changes using Liquibase or Flyway, indicating skills in database migration automation., • Experience using Ansible or equivalent configuration-management and deployment-automation tools, demonstrating proficiency in infrastructure automation., • Strong experience in TypeScript, Node.js, and the npm ecosystem, highlighting development expertise in these technologies., • Experience with Kubernetes in addition to OpenShift, showing understanding of container orchestration platforms., • Experience designing hot-hot, active-active, multi-region, or cross-datacenter deployment architectures, denoting knowledge of high-availability systems., • Experience with resilience testing, disaster recovery, controlled failover, and production-recovery exercises, highlighting skills in system reliability and continuity planning., • Experience with enterprise observability tools such as Splunk, ELK, Grafana, Prometheus, OpenTelemetry, AppDynamics, or Dynatrace, reflecting proficiency in monitoring and diagnostics., • Experience modernizing monolithic or legacy enterprise applications into maintain 📩 Apply now and take on your next engineering challenge.

Manager of Software Engineering - FDE Forward Deployed Engineer Location: New York City, Dallas, Toronto (Hybrid) The Client: Manager of Software Engineering – Forward Deployed Engineering (AI) I’m partnering with a global technology leader making a major investment in the next generation of professional AI. This is an opportunity to lead within one of its flagship AI engineering teams, building agentic systems that are transforming how some of the world’s leading legal organizations work. As Manager of Forward Deployed Engineering, you’ll lead a team working directly with customers to take complex problems from discovery and prototype through production using LLMs, RAG, agents, and multi-step agentic workflows. This is a hands-on leadership role where you’ll remain close to the technology while owning team development, technical direction, and delivery. What you'll be working on: • Lead and support multiple Forward Deployed Engineering teams delivering complex AI solutions for enterprise customers., • Architect and guide scalable, secure AI and software solutions across the full development lifecycle., • Provide technical leadership across LLM-powered agents, RAG, system architecture, integrations, and production AI systems., • Work directly with customers to understand complex requirements and translate them into technical solutions, POCs, and production deployments., • Drive best practices across LLMOps, AI evaluation, monitoring, testing, security, and observability., • Turn successful customer-specific solutions into reusable engineering patterns and scalable product capabilities., • Hire, coach, mentor, and develop engineers while building a high-performing technical team., • Partner across Product, Engineering, Sales, and Customer Success to ensure customer feedback helps shape the broader AI product roadmap. What they're looking for: • 10+ years of software or solutions engineering experience, including 2+ years in engineering management or technical leadership., • Experience leading and growing teams of Forward Deployed, Solutions, Field, or customer-facing Software Engineers., • A strong technical foundation with the ability to remain hands-on rather than operating as a purely administrative manager., • Significant customer-facing experience, including technical discovery, architecture discussions, POCs, and enterprise deployments., • Strong Python development and backend engineering experience., • Hands-on experience building and deploying LLM-powered agents and AI applications into production., • Experience with RAG, agentic systems, AI evaluation, guardrails, observability, and production AI infrastructure., • Strong AWS experience alongside CI/CD, Docker, and modern cloud deployment practices., • Experience operating at the intersection of Product, Engineering, Sales, and Customer Success., • Legal technology or legal industry experience is a plus, but not required. This is a unique opportunity for a technical engineering leader who wants to combine people leadership with hands-on AI engineering — leading a customer-facing team while helping shape how production AI is built, deployed, and scaled across a global organization.

We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17,000+, and has 58 offices in 22 countries within key global markets. Role Description The Senior Cloud Solution Architect will provide overall technical leadership for the AWS migration. This individual will be responsible for defining the target-state architecture, establishing migration patterns and standards, validating solution designs, and ensuring that all application, infrastructure, security, and operational requirements are addressed throughout the program lifecycle. Additional Information* The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within New York, NY is $140k - $160k/year & benefits (see below). Qualifications • 12+ years of enterprise architecture and software engineering experience., • 8+ years designing and implementing cloud-based solutions., • Demonstrated experience leading large-scale cloud migration and modernization programs., • Deep expertise in AWS services, cloud-native architectures, infrastructure automation, resiliency, security, and disaster recovery., • Experience working within highly regulated financial services environments., • Strong stakeholder management and communication skills, with the ability to engage senior technology and business leadership. Key Responsibilities • Define and govern the target-state architecture., • Lead application assessment and migration strategy development., • Establish architectural standards, patterns, and guardrails., • Provide technical oversight for migration, testing, cutover, and decommissioning activities., • Identify and mitigate architectural, operational, and security risks., • Support governance, design reviews, and executive-level decision making. We offer: • A highly competitive compensation and benefits package., • A multinational organization with 58 offices in 22 countries and the possibility to work abroad., • 10 days of paid annual leave (plus sick leave and national holidays)., • Maternity & paternity leave plans., • A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region)., • Retirement savings plans., • A higher education certification policy., • Commuter benefits (varies by region)., • Extensive training opportunities, focused on skills, substantive knowledge, and personal development., • On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses., • Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups., • Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms., • A flat and approachable organization., • A truly diverse, fun-loving, and global work culture. S YNECHRON’S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

For more details, please connect with Praveen H at praveenh@vgroupinc.com or call at 609-766-2733. End Client: New York City Department of Social Services (DSS) Job Title: System Analyst Duration: 30 Months Location: Brooklyn, NY 11238 Position Type: Contract Hours Per Week: 35 Hours Interview Type: Webcasting (Camera Required) Ceipal ID: NYCHD729PH Job Code: DSS-ITS-C-20260729-1 Scope of Project DSS has a constant increased need for the provision of full systems life cycle applications development on various computer platforms, including a variety of client eligibility and recertification systems, employment/work engagement services, claims systems, etc., that are critical to the operation and functioning of DSS programs, requiring periodic refinements to maintain the applications at optimum service levels. Having a project portfolio which properly reflects the user’s business needs and DSS’ workload is crucial. Therefore, there is a need for IT consulting resources for the expanding responsibilities at DSS. Key Responsibilities: • Develop system design specifications and detailed systems operations designs., • Develop and prepare technical documentation for solutions that meet system and security requirements, including evaluation of alternative approaches., • Develop specifications for databases, communication systems, hardware, networks, security, storage, and software configurations., • Develop structured diagrams for databases, communication systems, computer or storage area networks, security, and network programs., • Develop, compile, maintain, and document configurations for databases, servers, computers, security and network monitoring systems, packaged programs, macros, utilities, and communication systems., • Develop system documentation, operational procedures, and installation procedures., • Develop guidelines and upgrade techniques for operational procedures supporting databases, hardware systems, operating systems software, network systems software, security, and client-server systems., • Work with managers, senior programmers, support staff, product managers, and other staff to plan program implementations, enhancements, and changes., • Create, test, and maintain program systems., • Design reports, audit trails/logs, and security mechanisms., • Provide technical assistance to support staff in resolving programming database, and IT issues., • Contact customers as needed to clarify new feature requirements or resolve problems., • Provide programming assistance to other programmers and projects as needed., • Perform system testing and evaluation., • Test programs and systems and integrate system modules. Required Skills: • A minimum of 4 years of experience with the following skill sets:, • Writing application software, data analysis, data access, • Data structures, data manipulation, databases, design, programming, testing and implementation, • Technical and user documentation, software conversions, • Exposure to environments include but are not limited to mainframe, mid range, personal computers, laptops, • Lead in the design of program specifications and the implementation of software solutions V Group Inc. is a NJ-based IT Services and Products Company with its business strategically categorized in various Business Units including Public Sector, Enterprise Solutions, Professional Services, Ecommerce, Projects, and Products. Within Public Sector business unit, we cater IT Professional Services to Federal, State and Local. We have multiple awards/contracts with 30+ states, including but not limited to NY, CA, FL, GA, MD, MI, NC, OH, OR, CO, CT, TN, PA, TX, VA, NM, VT, and WA. If you are considering applying for a position with V Group, or partnering with us on a position, please feel free to contact me for any questions you may have regarding our services and the advantages we can offer you as a consultant. Website: https://www.vgroupinc.com/publicsector LinkedIn: https://www.linkedin.com/company/v-group/ Facebook: https://www.facebook.com/VGroupIT Twitter: https://twitter.com/vgroupinc

About Qunnect: Qunnect is a venture-backed quantum technology company based in Brooklyn, NY. We build and deploy first-in-class hardware that transforms existing telecommunications fiber infrastructure into quantum networks. Our systems are deployed in real-world environments across the United States and internationally, supporting applications in research, defense, telecommunications, financial services, critical infrastructure, and next-generation distributed quantum systems. We are looking for a Forward Deployed Field Services Engineer who wants to take quantum technology out of the laboratory and put it to work in the real world. Role Description: The Forward Deployed Engineer is responsible for deploying, commissioning, maintaining, and supporting Qunnect's quantum networking systems at customer sites around the world. This is a highly hands-on and customer-facing role. You will travel regularly to customer sites, install Qunnect hardware, integrate systems with existing optical fiber infrastructure, bring systems online, validate their performance, troubleshoot issues, and train customers to operate and maintain their equipment. You will become one of Qunnect's technical representatives in the field and will often be the person responsible for taking a system from crates on the loading dock to a fully operational quantum network. Qunnect's systems combine quantum optics, atomic physics, lasers, fiber optics, electronics, timing systems, detectors, networking equipment, and software. You should therefore be comfortable working across disciplines and diagnosing complex systems rather than focusing narrowly on a single component. The role also serves as an important bridge between our customers and our engineering teams. What you learn during deployments will directly influence future product design, documentation, reliability, and manufacturability. Significant travel is a core part of this position. Candidates should be comfortable traveling frequently throughout the United States and internationally, sometimes for multi-day or multi-week deployments. What You'll Do: • Installation and commissioning of Qunnect quantum networking systems at customer sites., • Deploy optical and quantum hardware into telecommunications facilities, laboratories, data centers, research networks, and other operational environments., • Configure and validate Qunnect systems including entangled-photon sources, polarization control systems, single-photon detectors, timing equipment, fiber infrastructure, and associated electronics., • Perform end-to-end system testing and acceptance measurements following installation., • Diagnose and resolve optical, electronic, software, networking, and system-level problems in the field., • Perform preventative maintenance, repairs, upgrades, and requalification of deployed systems., • Train customers on system operation, routine maintenance, troubleshooting, and experimental use., • Act as a technical point of contact for customers during deployments and field activities., • Develop deep expertise across Qunnect's product portfolio and become capable of independently deploying and servicing complete systems., • Develop and improve installation procedures, service procedures, field checklists, troubleshooting guides, and customer documentation., • Create scripts and tools for system diagnostics, automated testing, and deployment validation., • Analyze system performance and identify degradation, drift, or emerging failure modes., • Coordinate deployment logistics including equipment preparation, site readiness, installation planning, and acceptance testing., • Work closely with Qunnect's science, hardware, software, manufacturing, and product teams to resolve issues encountered in the field., • Feed lessons learned from deployments back into product design, manufacturing, documentation, and reliability improvements., • Support demonstrations, experimental campaigns, and new network deployments with customers and partners., • Help establish the processes and standards required to scale Qunnect's global installed base. Required Qualifications: M.Sc. in experimental quantum optics, atomic/molecular/optical physics (AMO), optics, photonics, or a closely related field. • Significant hands-on laboratory experience with optical or quantum systems., • Experience aligning and troubleshooting optical systems., • Familiarity with lasers, fiber optics, polarization optics, detectors, optical instrumentation, and associated electronics., • Experience with quantum light sources, single-photon detectors, time-tagging systems, or related quantum-optical instrumentation., • Strong experimental intuition and the ability to diagnose complex systems methodically., • Strong mechanical aptitude and comfort assembling, modifying, and repairing scientific equipment., • Experience using test and measurement instrumentation., • Ability to work independently and make sound technical decisions in the field., • Comfortable interacting directly with customers, researchers, engineers, and technical partners., • Ability to clearly explain sophisticated technical systems and train users with different levels of experience., • Strong organizational skills and attention to detail., • Comfort scripting in Python for diagnostics, data analysis, and test automation., • Willingness and ability to travel extensively within the United States and internationally., • Ability to work effectively in environments ranging from research laboratories to telecommunications facilities and data centers. We're Particularly Interested in People Who: Enjoy making sophisticated experimental systems work outside of controlled laboratory environments. You should be equally comfortable aligning optics, debugging a detector, tracing fiber through a telecom facility, examining a Python diagnostic, explaining a system to a customer, and calling the engineering team back in Brooklyn when you uncover something the product needs to do better. This role is well suited for an experimentalist or optics engineer who wants to remain deeply technical while spending less time running a single experiment and more time building, deploying, and operating real quantum infrastructure. You should enjoy ownership. When a Qunnect system arrives at a customer site, your job is to make sure it leaves your hands working. Travel: This position involves frequent domestic and international travel for customer installations, commissioning, maintenance, demonstrations, and training. Travel may occasionally occur on short notice and deployments may require several consecutive days or weeks at a customer location. When not traveling, this is an in-person role based at Qunnect's facilities in Brooklyn, NY.

Role: AI Lead Architect – RAG & Python Location: NYC, NY/Charlotte, NC We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets. Our challenge We are looking for a hands-on AI Lead Architect with strong experience in Generative AI, Retrieval-Augmented Generation (RAG), Python, LLMs, cloud platforms, and enterprise technology architecture. The role involves designing and delivering scalable AI solutions, building end-to-end RAG pipelines, integrating LLMs and vector databases, developing Python APIs and services, and deploying AI applications into production. The candidate will also establish AI governance, security, monitoring, evaluation, and LLMOps practices. Additional Information* The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within NYC/Charlotte, NC is $125k-$150k/year & benefits (see below).. The Role Responsibilities: • Lead the architecture and delivery of enterprise AI and Generative AI solutions., • Design and implement RAG pipelines, including ingestion, chunking, embeddings, retrieval, reranking, and response generation., • Develop production-grade Python applications, APIs, and AI workflows., • Work with LLMs, prompt engineering, AI agents, tool calling, and model evaluation., • Use cloud platforms such as AWS, Azure, or Google Cloud., • Implement Docker, Kubernetes, CI/CD, MLOps, and LLMOps practices., • Ensure AI solutions are secure, compliant, observable, scalable, and cost-effective., • Lead technical discussions, mentor engineering teams, and collaborate with business stakeholders. Requirements: • Experienced in software engineering, architecture, data engineering, or machine learning., • 3+ years of hands-on experience delivering AI or Generative AI solutions., • Strong Python development experience., • Proven experience building and deploying RAG applications., • Knowledge of LLMs, embeddings, semantic search, vector databases, APIs, and cloud architecture., • Experience with frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar., • Familiarity with Docker, Kubernetes, CI/CD, databases, security, and automated testing We offer: • A highly competitive compensation and benefits package., • A multinational organization with 58 offices in 20 countries and the possibility to work abroad., • 10 days of paid annual leave (plus sick leave and national holidays)., • Maternity & paternity leave plans., • A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region)., • Retirement savings plans., • A higher education certification policy., • Commuter benefits (varies by region)., • Extensive training opportunities, focused on skills, substantive knowledge, and personal development., • On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses., • Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups., • Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms., • A flat and approachable organization., • A truly diverse, fun-loving, and global work culture SYNECHRON’S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

What're we trying to solve? Openshelf is building an open-source system to automate physical inventory—combining hardware and software to handle storage, retrieval, and real-time tracking. • The Problem: Managing physical inventory is messy. Manual processes are slow, error-prone, and don't scale. It's hard to know what you have, where it is, or how much space it's taking up., • What We're Doing: We're developing a small-scale AS/RS system that captures weight, dimensions, and location data every time something moves. Our stack runs Python on the backend (FastAPI, hardware orchestration, event-driven robot control) and a SvelteKit frontend, all containerized and deployed on dedicated hardware. We're designing it to be flexible and open so others can adapt, improve, and deploy it across all kinds of environments—not just warehouses with big budgets. The goal is accurate, real-time visibility into physical inventory, made as accessible as possible. What you'll be doing: • Maintaining, debugging, and improving the existing Python backend and hardware control layer under the guidance of senior engineers., • Writing clean, testable Python code that interfaces with physical hardware (motors, scales, barcode scanners, sensors) over serial, Modbus, and GPIO., • Building and maintaining internal tools and dashboards that let the team monitor, configure, and debug production devices., • Working with AI coding agents to accelerate development—we already use them daily and expect you to as well., • Collaborating on software design decisions: API structure, data modeling, error handling, and state management., • Participating in code review, testing, and deployment to real devices in our lab and in the field., • Contributing to the full development cycle from concept through iteration—whether that's a new sensor integration, a performance fix, or an internal utility that saves everyone time. Who are you? • You're passionate about software and excited to work on systems that interact with the physical world., • You have a solid foundation in Python and a genuine curiosity about how the full stack fits together—even if you haven't worked with hardware before., • You're resourceful and have high agency. When you hit something you don't know, you dig in and figure it out rather than waiting for someone to hand you the answer., • You're comfortable navigating uncertainty and working on problems where the requirements aren't fully settled., • You communicate clearly and collaborate well. You're happy to ask questions when you're stuck, and you take feedback as a way to get better., • You're excited to work in-person alongside a small, focused team where your contributions have direct impact on the product and the company. Requirements: • Proficiency in Python—you can write readable, well-structured code and understand common patterns (async, I/O, error handling, testing)., • A baseline of good software engineering practices: version control (git), debugging, reading documentation, and breaking down ambiguous tasks., • Interest in or experience with AI-assisted development (Codex, Claude Code, or similar coding agents)., • Willingness to work with physical hardware and debug real-world systems—motors that don't move, sensors that return garbage data, serial ports that disappear., • Ability to work on-site in midtown Manhattan full-time., • Previous experience with FastAPI, Docker, or automation/robotics is a plus, but not required. Practical Details: • You'll get a competitive salary and stock options—you'll own part of the company., • We're based in midtown Manhattan, and this is an on-site, in-person role. We believe building the best product is the result of continuous collaboration and short feedback loops., • You'll work directly with senior engineers who will guide your work, review your code, and help you grow. Salary & Benefits: • Salary Range: $100-$130k + equity, • Fully covered health, dental, and vision insurance, • Flexible PTO, • Team lunches and off-sites

Principal Network Engineer Salary: Starting at $190k + bonus Location: New York, NY Hybrid: 4 days onsite, 1 day remote We are unable to provide sponsorship for this role Qualifications • 10+ years of hands-on network engineering experience in mission-critical, low-latency environments, with a strong track record operating and evolving high-performance network infrastructure, • Deep expertise in low-latency and deterministic network design, including practical experience analyzing latency, jitter, and end-to-end traffic behavior in production environments, • Advanced knowledge of routing protocols at scale, including BGP, OSPF, MPLS, and multicast (PIM-SM/SSM), with proven experience designing resilient, highly available global networks, • Strong understanding of network hardware and platform capabilities across major vendors, with the ability to evaluate limitations and optimize design decisions through hands-on research and lab validation, • Experience designing and supporting hybrid cloud connectivity, including AWS networking constructs such as Direct Connect, Transit Gateway, VPCs, and route integration, • Proven experience building and maintaining Python-based network automation, including API-driven and SSH-based approaches for configuration management, testing, and operational efficiency, • Working knowledge of observability and telemetry concepts, with exposure to platforms such as Prometheus, Grafana, or similar tools for network visibility and performance analysis, • Strong background in leading technical research, proof-of-concept validation, and pre-implementation design for large-scale network initiatives, • Solid understanding of network security fundamentals, including segmentation, access control, and zero-trust principles as they apply to network design Responsibilities • Design and evolve low-latency, highly resilient network architecture across global data center, co-location, and cloud-connected environments, with a focus on deterministic packet forwarding, scalability, and operational consistency, • Lead advanced routing design and implementation across complex global environments, including BGP, OSPF, MPLS, multicast, hybrid cloud connectivity, traffic engineering, and high-availability network patterns, • Conduct deep technical research, lab validation, and pre-implementation testing for major network initiatives, working closely with engineering and software development teams to evaluate hardware capabilities, identify design constraints, and optimize exchange performance based on findings, • Lead high-complexity strategic projects from design through execution, producing detailed technical designs, migration runbooks, capacity plans, and implementation guidance for large-scale network changes, • Develop and maintain Python-based network automation to support configuration management, change validation, testing, and operational efficiency, with direct experience using both API-driven and SSH-based automation approaches, • Partner across infrastructure, security, application, and business teams to align network design and delivery with technical requirements, operational goals, and broader organizational priorities, including support for budgeting and planning related to network hardware and software investments, • Serve as a senior technical leader and mentor across the engineering organization, driving architecture reviews, design standards, knowledge sharing, and technical development for other engineers, • Operate effectively in a fast-moving, dynamic environment where priorities can shift, balancing long-term architectural direction with immediate engineering and operational needs, • Contribute to monitoring and telemetry strategy by helping define meaningful visibility requirements and supporting the use of tools such as Prometheus, Grafana, or similar platforms where they improve operational insight and troubleshooting, • Support the development of technical standards, design documentation, and regulatory or audit-facing materials when needed, including documentation that may be used to support SEC or other regulatory review processes

We are seeking a Senior GenAI Cloud Engineer to build and deploy enterprise-scale AI solutions that drive intelligent automation, conversational experiences, and business process transformation. This is a hands-on engineering role responsible for designing, developing, and delivering production-grade AI applications using modern cloud architectures, large language models, and agentic AI frameworks. You will lead the implementation of specific workstreams end to end, mentor less experienced engineers, and contribute to the architecture and standards used by many engineering teams. The ideal candidate has recent experience building AI agents, chatbots, and RAG-based solutions in enterprise environments. Key Responsibilities • Develop cloud-native applications and microservices using Python and JavaScript/TypeScript, • Build and deploy enterprise AI agents, chatbots, and GenAI-powered applications, • Implement data ingestion, document processing, embedding generation, vectorization, and retrieval pipelines, • Develop intent classification, orchestration, guardrail, and safety capabilities for AI applications, • Integrate LLMs with enterprise systems, APIs, databases, and business workflows, • Contribute to system design, testing, deployment, monitoring, and operational support, • Uphold code quality, security, and observability standards in everything you ship, • Stay current with emerging AI technologies, frameworks, and platform capabilities Leadership, Mentoring & Influence • Lead a workstream: take technical ownership of a defined feature area or service, from design through production support, coordinating a small group of engineers where needed, • Mentor engineers: guide associate and mid-level engineers through code review, pairing, and design feedback; help them build GenAI and cloud skills, • Contribute to architecture: participate actively in design reviews, propose solution options with clear trade-offs, and help shape the patterns and standards the team adopts, • Influence through delivery: partner directly with product owners, architects, and business stakeholders to refine requirements and build credibility through working software, • Improve the team: identify and drive improvements in engineering practices, tooling, reusable components, and documentation; share knowledge through demos and internal write-ups Required Qualifications • 5 to 8 years of software engineering experience, • Strong proficiency in Python and JavaScript/TypeScript, • Experience developing microservices, APIs, and distributed applications, • Hands-on experience with AWS cloud services and cloud-native application development, • Recent experience building enterprise GenAI solutions, including AI agents, chatbots, or RAG applications, • Experience with AWS Bedrock or other enterprise LLM platforms, • Experience with data ingestion, vector databases, embeddings, and semantic search, • Experience implementing AI guardrails, safety controls, intent classification, and routing logic, • Strong understanding of software engineering best practices, application security, scalability, and production operations, • Experience mentoring engineers and leading delivery of a technical workstream Preferred Qualifications • Experience with AWS AgentCore, • Experience with LangGraph, LangChain, or similar agent frameworks, • Experience with model tuning, evaluation, and prompt engineering, • Experience with event-driven architectures and AWS serverless technologies, • Experience delivering solutions in financial services, insurance, or other regulated industries

Software Guidance & Assistance, Inc. (SGA) is searching for a Technical Business Analyst for a contract assignment with one of our premier financial services clients in New York, NY. This role is part of the Wealth Management Monitoring Department, within Non-Financial Risk Technology. This team supports the Risk and Compliance divisions with tools and applications to assist them with their task of monitoring Financial Advisor's compliance with the Firm's policies and procedures. As a Business Analyst/Data Analyst, you will be responsible for providing business analysis, project management, and data analysis support for building models; eliciting and documenting business requirements, user acceptance testing, data analysis, and product support. The ideal candidate should have the skills listed below, and is a self- driven, dedicated individual who works well in a team and thinks and acts strategically. When faced with a problem, the candidate should be able to ask questions and leverage the skills and expertise of those around them. Responsibilities: • Elicit, analyze, generate Business requirements documents (including Agile user stories, proof of concept models, and supporting documentation), • Analyze data sets to determine data gaps and work with cross functional teams to bridge the gap, • Liaise with the development team to ensure the product is developed according to specifications, • Conduct Behavior-Driven Development (BDD), write and execute User Acceptance Testing (UAT) test plan, • Create and manage the overall project plan at the project level; and escalate delays to the program lead., • Lead cross-functional teams, facilitate stakeholder communication, and manage project risks, ultimately contributing to the successful delivery of business solutions., • Mentor the junior members of the team Required Skills: • Bachelor's degree in computer science or similar, • Minimum 10 years of experience in global organizations as a Business Analyst., • Proficiency in Data Analysis, with working experience in SQL and relational databases, • Established technical knowledge in software development life cycle and agile methodologies., • Strong communication skills, both verbal and written; as well as work in an international team setting., • Collaborate effectively across a variety of IT and Business groups, across regions and roles., • Self-motivated individual and creative thinker who will take ownership of tasks assigned., • Ability to problem solve and have creative solutions in challenging environments, • Able to thrive in a fast-paced, high energy, demanding and team-orientated environment, • Good customer service skills. Ability to deal with difficult situations gracefully., • Experience in trade lifecycles and asset classes, Equity, Fixed Income, Options, Futures, • Understanding of Compliance surveillance platforms (Actimize, MANTAS, SunGard, SMARTS) and their models, Wash trades, Marking the Open/Close, Spoofing, Insider Trading, etc. Preferred Skills: • IT Project Management and SDLC experience (Waterfall/Agile) and experience with BDD., • Experience working in medium to large-scale development projects., • Knowledge of trades data, positions data, reference data. SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at https://sgainc.com/. SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company EEO page to request an accommodation or assistance regarding our policy.

Please apply here - https://findautumn.com/careers/full-stack-engineer About Us We're building the future of hotel software — an AI-Native Hotel OS that is redefining how hotels operate. We're replacing fragmented, clunky legacy systems and bloated back-office teams with an intelligent, unified platform. We've already proven strong product-market pull and have a fast-growing customer base across the US, Canada, and Mexico. We're a seed stage company backed by Tier 1 investors (led by Bessemer Venture Partners), and moving quickly to define a new category in one of the world's largest verticals. About the role We're hiring a full-stack engineer to join our founding engineering team. We lean heavily on AI tools to ship a lot of product, fast, and we have a substantial roadmap ahead of us. You'll work directly with the founders, own products and systems end to end, from ambiguous problem to shipped, reliable feature, and depending on the candidate, this role can evolve into an engineering leadership role quickly. Please apply sooner rather than later — we review applications as soon as they come in! What you'll do: • Ship across the full codebase: backend, frontend, integrations, and AI systems, • Architect and scale the platform as we expand into the full hotel operating system, • Help set the standards for reliability, security, observability, and engineering quality Our tech stack • TypeScript across the entire stack, • Backend: NestJS with PostgreSQL and TypeORM, • Frontend: React and Next.js with Tailwind CSS, • AI: Anthropic and OpenAI models via the Vercel AI SDK, voice with ElevenLabs, agentic workflows in production, • Infra: AWS and Vercel, Stripe for billing You don't need experience with every item on this list. Strong TypeScript and modern web fundamentals matter most; the rest can be learned here. Experience • Bachelor's in Computer Science, or an equivalent rigorous CS background, • 1–3+ years building and owning full-stack web apps end to end, • Prior startup or founding engineer experience is a strong plus Who You Are • Fluent in modern product engineering. You have built and operated production software using contemporary web, cloud, and data technologies. You learn unfamiliar systems quickly, stay current with the evolving technology landscape, and make pragmatic decisions about when to adopt, replace, or simplify tools., • AI-native in how you build. You are highly effective with AI-assisted and agentic development tools and know how to use them to improve engineering speed, quality, and leverage, not simply generate more code. You can establish thoughtful practices around context management, testing, code review, security, documentation, evaluation, and human oversight., • Comfortable at the earliest stages. You operate well with ambiguity, move quickly, and know when to introduce structure without slowing the team down., • An owner. You take a business problem and run with it, delivering high-quality solutions without micromanagement or granular requirements. Scrappy, resourceful, and proactive., • A strong communicator. You can articulate technical decisions and tradeoffs to non-technical stakeholders, in writing and in person. AI Systems Experience We're looking for someone who understands that production AI systems require more than model access and prompt engineering. Strong candidates will have experience with several of the following: • Building and evaluating LLM-powered agents and workflows, • Agent orchestration, tool use, retrieval, and context management, • Human-in-the-loop systems, permissions, guardrails, and failure recovery, • Observability, debugging, testing, and versioning for AI systems, • Managing the cost, latency, and reliability of nondeterministic systems, • Measuring the product and business impact of AI-powered workflows Nice to Have • Shipping AI-native products in real production environments, • Fast-growing startup experience: ship-fast culture, low bug tolerance, high ownership, • Vertical SaaS, marketplace, or workflow software experience, • Complex integrations and data-heavy systems, • Hospitality, travel, or adjacent industry experience What we offer • Founding team role — a key part of the technical team, with a front-row seat to how a top venture-backed, AI-native vertical SaaS company gets built, • Meaningful equity and a competitive salary, • Top-tier health coverage — medical, dental, and vision insurance, • Room to grow — leadership opportunities as you build skills and experience, • Autonomy and direct impact — technical ownership of the entire codebase and real influence on product direction and architecture, • Company perks — lunch and fitness stipends, complimentary snacks, and weekly happy hours Location This role is four to five days a week in person in New York City and candidates must be authorized to work in the United States.

TECHNICAL PRODUCT MANAGER — AI AGENTS / BUILDER New York City | 5 Days Onsite $175,000–$275,000 Base + Highly Competitive Equity WHAT IF YOUR JOB WAS TO BUILD THE COMPANY OF THE FUTURE? Most product teams build software for customers. This team is asking a bigger question: What happens when AI fundamentally changes how an entire company works? We're partnering with one of the fastest-growing AI-native software companies in New York to add a Technical Product Manager to a tiny, highly autonomous team with an unusually broad mandate: Make every person in the company dramatically more effective through AI. This isn't a traditional Product Management role. It isn't an "internal tools" job. And it isn't a role where Product writes requirements and waits for Engineering to build them. This is a role for a software engineer who thinks deeply about product — someone who wants ownership not only of HOW something gets built, but WHAT should exist in the first place. THE MISSION The next generation of great companies won't simply use AI. They'll operate differently because of it. This team exists to figure out what that actually looks like. They're already building AI teammates capable of doing real work end-to-end — from engineering and software-development workflows to onboarding, company knowledge, operational processes and entirely new ways of working. The mandate is intentionally broad. Find the highest-leverage problem in the company. Understand it deeply. Decide what should exist. Build it. Put it into people's hands. Measure whether it actually works. Then improve it, automate more of it, or kill it and move on. If you're looking for a perfectly defined roadmap, this probably isn't your job. If you're energized by a blank page and the opportunity to invent how an AI-native company should operate, keep reading. THIS ROLE HAS A REAL ENGINEERING BAR Let's be explicit: We're looking for someone who has built and shipped production software. Not simply a Product Manager who works closely with engineers. Not simply someone who can prototype. And not someone whose technical background began when AI coding tools arrived. You should have genuine software engineering fundamentals and be comfortable getting directly into a production codebase. Claude Code, Codex, Cursor and similar tools should make you a dramatically faster engineer — not turn you into one. The strongest candidates may have started as Software Engineers and moved toward Product, been Founding Engineers or technical founders, or simply become the engineer on the team who kept asking: "Are we actually building the right thing?" WHAT YOU'LL DO You'll join a small, highly autonomous team operating almost like a startup inside an already fast-growing AI company. You'll move constantly between product thinking and engineering execution. You might: • Find a complicated workflow and determine how agents could own it end-to-end, • Prototype and build AI products yourself, • Work directly in the codebase alongside other exceptional engineers, • Explore how parts of the software-development lifecycle can become increasingly autonomous, • Design systems, APIs, integrations and agent workflows, • Turn messy operational problems into production software, • Use AI coding agents aggressively to increase your own engineering velocity, • Make product and technical tradeoffs without waiting for layers of approval, • Ship quickly, measure what happens, iterate and sometimes throw the whole thing away, • Decide which problems are worth solving rather than execute against an inherited backlog You'll have unusual freedom to move across the company, find leverage and build. WHO WE'RE REALLY LOOKING FOR There isn't one perfect career path. Some profiles we're especially interested in: • Software Engineer → Product Manager / Technical PM, • Staff or Senior Software Engineer with exceptional product instincts, • Founding Engineer → Product, • Technical Founder who personally built the product, • Early Engineer who became increasingly responsible for product direction, • Very early PM with substantial prior professional software engineering experience, • Product Engineer or Forward Deployed Engineer who owns both customer problems and implementation The title matters much less than the evidence. THE SIGNALS THAT MATTER You have built real software. You can read and navigate a production codebase. You're comfortable reasoning about architecture, APIs, data models, debugging, testing, deployment and technical tradeoffs. You've shipped—not just demoed. You have strong product instincts and naturally ask why something should exist before worrying about how to build it. You've operated with significant ownership, ideally somewhere fast-moving where there wasn't much of a playbook. You use AI coding tools constantly and have strong opinions about where agents work, where they fail and how they're changing software development. And you still want to build. YOUR BACKGROUND MAY INCLUDE • Roughly 5–15 years across software engineering, technical product, or founding roles, • Meaningful professional software engineering experience, • Production experience with modern software systems, • 0→1 product development, • Highly technical B2B SaaS, AI, developer tools, infrastructure, data platforms or agentic systems, • High-ownership experience at an exceptional engineering organization or fast-growing technology startup, • Founder, founding engineer or very early product experience, • Hands-on use of Claude Code, Codex, Cursor, Devin or similar AI development tools, • Deep familiarity with the software development lifecycle, • Strong communication across engineering, product and business teams THE PROFILES WE GET EXCITED ABOUT Former founders. Future founders. Founding engineers. Software engineers who became obsessed with Product. Product-minded Staff Engineers. Engineers from exceptional technical organizations who were given unusually high ownership. People who have built something from nothing. People already pushing AI coding agents far beyond autocomplete. People who hear: "What would it take to automate the software-development lifecycle?" …and immediately start thinking about how they'd build it. WHAT PROBABLY WON'T WORK This probably isn't the right fit if your recent experience has primarily been: • Roadmap and backlog management, • Coordinating engineering teams without personally engineering the product, • People management rather than hands-on IC building, • Growth optimization on mature products, • Big-company Product with narrow, highly defined ownership, • AI strategy without hands-on development, • No-code/low-code automation, • AI-assisted prototyping without deeper software engineering experience This team isn't looking for someone to manage the people building the future. They want another person who can build it. WHY THIS ONE IS DIFFERENT You could join another AI company and build another AI feature. Or you could spend the next several years answering a much bigger question: What does a company look like when AI agents aren't bolted onto the organization — but become part of how the organization itself operates? This company is already well funded, growing rapidly and building an AI-native platform in a massive legacy market. But this particular team gets something unusual: A tiny team. Exceptional autonomy. Serious resources. Hard engineering problems. Almost no limits on what it can explore. And permission to rethink how work gets done from first principles. If you're an engineer who may eventually start a company yourself — or you've already done it once — this is the kind of environment that's hard to find. Come help build the operating model everyone else may be copying five years from now. COMPENSATION $175,000–$275,000 base salary Highly competitive equity LOCATION New York City 5 days/week onsite

Firm: Top Ranked Law Firm Position: Pricing Analyst Location: New York Compensation: $75,000 - $85,000 with OT and Bonus Position Type: Direct Hire Essential Functions • Prepare sophisticated financial analyses of profitability (type of service, Department, Practice Group, office, client/matter) using established and new, creative approaches., • Recommend enhancements to Firm profitability by analyzing key performance indicators (KPIs)., • Work concurrently with supervisor to design and automate financial reports and dashboards that provide stakeholders with insightful data to help understand and grow their business., • Analyze firm performance against available data for peer firms and understand the market trends to assist in the annual rate-setting process., • Work closely with and serve as back-up to the Pricing Support team to help maintain matter performance models for pricing proposals., • Assist with implementing the new profitability reporting software to support monthly and periodic reporting., • Participate in software upgrades, leading selected work streams for testing and verifying financial information in financial reporting.

What Are We Trying to Solve? We’re building an open-source system to automate physical inventory—combining hardware and software to handle things like storage, retrieval, and real-time tracking. • The Problem: Managing physical inventory is messy. Manual processes are slow, error-prone, and don’t scale well. It's hard to know what you have, where it is, or how much space it's taking up., • What We’re Doing: We’re developing a small-scale AS/RS system that captures weight, dimensions, and location data every time something moves. We're designing it to be flexible and open so others can adapt, improve, and deploy it across all kinds of environments—not just warehouses with big budgets. The goal is accurate, real-time visibility into physical inventory, made as accessible as possible. What you’ll be doing • Assisting in the design, prototyping, and testing of mechanical components for robotic systems., • Collaborating with teammates on hardware and software integration., • Supporting the creation and maintenance of CAD models, technical drawings, and Bill of Materials (BOMs)., • Participating in hands-on testing, troubleshooting, and system improvements., • Learning and applying new skills related to robotics, manufacturing, and mechanical design., • Contributing to product development from concept to production under the guidance of senior engineers. Requirements • Familiarity with Onshape for mechanical design, or a willingness to learn., • Basic understanding of mechanical design principles, including materials, tolerances, and manufacturing processes., • Interest in industrial automation systems such as conveyor lines, palletizing lines, and inspection lines., • Ability to create and interpret CAD models, technical drawings, and BOMs., • Hands-on experience with mechanical prototyping tools such as 3D printers, laser cutters, or machine shop equipment is a plus., • Willingness to take direction and learn from more senior engineers while contributing actively to the team’s success., • Problem-solving mindset with a willingness to learn through iteration and feedback. Practical details • Schedule: Full-time, hourly internship; in person at our Midtown Manhattan office., • Start date: ASAP — we’re actively interviewing and looking for someone who can start immediately or within the next few weeks., • Compensation: $22/hour

We are seeking an experienced Technical Designer with a strong background in contemporary or luxury RTW to own construction, fit, and technical documentation across the line. This person will ensure garments are designed for manufacturing from the beginning of development, with a focus on quality, durability, fit, construction standards, and consistency. You will author tech packs, lead fittings, and carry specifications through production approval while partnering closely with the Creative Director, patternmakers, and factories. Key Responsibilities: • Author tech packs and BOMs; own specifications end to end., • Carry specs through PP sample and TOP sample approval., • Manage product wear testing., • Maintain version control across tech packs, specs, and sample rounds., • Lead fittings, approximately three per garment., • Translate the Creative Director’s aesthetic direction into practical construction solutions., • Partner with patternmakers to ensure fit and construction are executed correctly., • Own grading, size charts, and clean flat-lay drawings., • Serve as the technical liaison to domestic and overseas factories., • Establish and maintain clear construction standards for factory partners., • Troubleshoot construction challenges while balancing design intent, quality, and durability. Qualifications: • 7+ years of technical design experience within contemporary or luxury RTW., • Strong woven tailoring experience is essential., • Expert knowledge of garment construction, fit, grading, and specifications., • Experience leading fittings and communicating corrections to patternmakers., • Strong understanding of the development process, from initial sample through production approval., • Experience working with both domestic and overseas factories., • Excellent attention to detail and ability to maintain accurate technical documentation., • Comfortable working independently in a part-time freelance capacity. Required Software and Technical Skills: • PLM fluency, • Tech packs and BOMs, • Specifications and grading, • Size charts, • Flat-lay drawing cleanup

RIVER Founding Engineer About River River builds AI voice agents for B2B SaaS sales teams. Our agent talks with prospects in real time: it qualifies them, answers the hard questions, demos the product by actually using it in a browser while it speaks, and follows up until the deal closes. A full AI seller, available 24/7. We just closed a $2M pre-seed, backed by the founders of companies like Ramp, Kalshi, and JumpCloud. We turned on revenue recently and demand already outpaces what we can serve. This is our founders' second company — they built and sold the first. About the role Every River conversation runs on a sub-second loop: speech, a rendered avatar, several LLMs, and an agent using a real browser, all live in front of our customers' buyers. Your job is to make that loop fast and rock-solid. Backend and infrastructure are your priority, but you'll build across the whole product with us. This is a founding role: you're a core member of the team, shaping what River becomes, not just keeping it running. Many decisions will be yours to own. What you'll do • Own the live-call pipeline: real-time voice, avatar, and browser streaming in one sub-second loop, • Own the infrastructure behind it: deploys, scaling, observability, cost, • Push our browser-use agent forward. River demos real products by controlling a browser live, clicking and navigating complex apps while it talks, and making that reliable is one of the most interesting problems here, • Put the engineering foundations in place as the team grows: monitoring, incident response, testing, evals, • Ship product features across the stack, and talk to customers Requirements • 3–10 years of experience as an IC. You've shipped real software that real people used, • CS degree from a strong university, or equivalent exceptional experience at top-tier companies, • Solid TypeScript and JavaScript, strongest on the backend (we use Next.js, Node, Postgres, Redis), comfortable in React, • You've built something real with LLM APIs, not just tutorials, • Product sense. You care how it feels to use, not only that it works, • High ownership. You find the problem, propose the fix, and ship it — no PM required, • Genuine track record of shipping serious work: products with real users or revenue, a startup attempt, accelerator experience, or something you launched and grew (beyond hobby side projects) Nice to have • •Experience at a fast-growing, recently founded company (last ~10 years) with a high engineering bar — especially AI-product startups shipping LLM features, • •Browser use / computer use, or browser automation (Playwright, Puppeteer, CDP), • •Voice, video, or anything real-time (WebRTC a plus), • •Go-to-market / sales-tech tooling, automations, or exposure to the sales workflow, • •Scraping, enrichment, or data pipelines Culture fit: We're a fast-moving team of serial builders. We want an AI-native engineer who owns their domain end to end, produces the output of a much larger team, and is here for the mission and the ride — not the perks. Why River • A founding role, with meaningful equity and a whole domain that's yours from day one, • You work directly with the founders and shape the product, not just the infrastructure, • Genuinely interesting problems: real-time voice AI and browser-use agents, live in front of real customers, • Competitive comp: $170,000–$220,000 plus 1.0%–2.5% founding equity, • Try the product yourself at rivergtm.com/start Location: In-person in New York (4–5 days/week). No visa sponsorship or relocation support. Process: 2–3 interviews — behavioral/culture screen, a build-together technical session, and a possible final in-person round. Additional Job Application Terms This job is part of LinkedIn’s Full-Service Hiring beta program. Eligibility is limited to candidates located in and performing services in the United States, excluding those based in Alaska, Hawaii, Nevada, South Carolina, or West Virginia. We’re committed to making our hiring process as smooth and timely as possible, and we understand that waiting to hear back can add to the anticipation. If you’re a potential fit, our team will reach out within two weeks to progress you to the next stage. If you don’t hear from us in that time, we encourage you to explore other opportunities with our team in the future, and we wish you the very best in your job search.

About Speakeasy Speakeasy is the vertical operating system & commerce platform powering live experience businesses, spanning independent venues, hospitality groups, event organizers, and live music festivals. Our partners include TAO Group Hospitality, Breakaway Music Festival, Cipriani, Fontainebleau Development, E11EVEN, Framework LA, Off Grid @ F1, and many more. By centralizing critical workflows across guest intelligence, commerce, and guest management, we are able to build deeply alongside our leading enterprise clients and enable them to operate more efficiently, freeing up resources and enabling reinvestment into what matters most: the experience. We maintain a bold focus on building beautiful, cutting-edge products that work seamlessly in tandem, driving increased data collection, revenue, operational efficiency, and intelligence. Founded out of the University of Chicago, Speakeasy closed its Seed round in Q2 and has grown revenue more than 500% year over year, backed by investors including Positive Sum and Yamaha Music Innovations Fund. We're a lean, fast-moving team with a new HQ in New York's Flatiron district. Role Description This is a full-time, in-person Full Stack Software Engineer role in New York, NY. You'll ship to production on Day 1 within a high-touch, autonomous environment. You'll design, build, and maintain the web and IOS applications that power Speakeasy's platform, helping us aggressively expand our B2B offerings and further build out our agentic product suite. Day-to-day, that means developing front-end interfaces, implementing and optimizing back-end services and APIs, integrating data sources, and collaborating closely with product and design to deliver user-focused features. You'll write clean, testable code, review your teammates' work, troubleshoot production issues, and weigh in on architectural decisions that support scalability, reliability, and security. Qualifications • Strong full-stack development skills, with experience building modern web applications from concept to deployment, • Strong native iOS development experience, including building and maintaining production applications using Swift, SwiftUI, and/or UIKit, • Proficiency in front-end development, including JavaScript frameworks and CSS for responsive, accessible user interfaces, • Experience in back-end web development, including designing APIs, managing data persistence, and optimizing application performance, • Solid understanding of web and mobile application standards, security best practices, and version control (e.g., Git), • Experience with modern development workflows, testing frameworks, and CI/CD pipelines across web and mobile environments, • Comfort with autonomy and ownership - you can drive projects independently while communicating clearly with technical and non-technical partners, • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience; experience in SaaS, commerce, or data-driven platforms is a plus

We're an AI lab built differently. We work where database systems meet interoperability, and our direction comes from the actual problems our enterprise partners face. We're drawn to work that's difficult, purposeful and fun all at once. Our best days start with a hard problem on the whiteboard, run through stretches of coding and testing ideas and end with an empty pizza box and a solved problem. At our core, we're people who build because we enjoy it, chase problems that haven't been cracked yet and always end up thinking past what was originally asked. 💡 About the Role We're bringing on a Founding Software Engineer to build products from zero and turn raw research concepts into functioning systems. The work spans product development, co-authoring papers for top scientific conferences and contributing to our open-source projects. This role comes with real ownership. You'll be part of building an applied AI research lab from the ground floor, and the equity reflects that level of responsibility. 🔨 Who We're Looking For People who: • Are currently pursuing a PhD or already hold one. We operate as a research lab, so every technical hire is expected to publish;, • Bring hands-on building experience, from hackathons to side projects to products actually shipped (extra credit if it scaled);, • Generate ideas nonstop. Give them one feature to build and they'll return with three more suggestions unprompted;, • Are drawn to collaborating closely with PhD researchers on new directions in AI, ML and database systems;, • Take full ownership of what they build from start to finish. 🔬 Who We Are • Growing quickly: pre-seed round closed, partnerships secured with leading universities and a major enterprise client signed, all inside a few months;, • Operating from two well-regarded academic campuses;, • Founded by a technical lead holding a PhD in computer science from a top-ranked program;, • Focused on publishing at major scientific venues multiple times per year, crediting every technical team member as an author. A PhD in progress or already completed is required for this role. As a research lab, we expect every technical team member to publish.

Job Description The IB Tech & CRM/Analytics team is a highly strategic and cross-functional team responsible for leading the firm’s global digitalization effort. This initiative, spanning all client-facing business units and corporate functions, will drive innovation and strategic change through technology, data science, and deep analytics. The team partners with key business leaders and industry experts to build transformational technology to drive revenue, maximize efficiency, and optimize the allocation of resources. The IB Tech & CRM/Analytics team is at the forefront of Jefferies’ cloud initiative, leveraging best-in-class cloud-based technologies to replace legacy on-premises solutions to provide intelligent trend insights, actionable opportunities, decision support, and transparency into all client and business-related activities. Job Highlights: • Exciting and unique opportunity to be a member of our corporate IB Tech & CRM/Analytics Team, tackling our toughest and most exciting data engineering challenges across multiple divisions in Jefferies., • Modern, fully cloud-native, tech stack that leverages several AWS products to orchestrate an event driven data distribution platform., • Collaborate with our team of passionate and innovative data specialists, application developers and product managers. Key Responsibilities: We are looking for a Senior Java engineer who will: • Contribute to the end-to-end SDLC process on high-impact Madison projects, from conception for new –maintenance for existing, design, implementation, testing, release, and support., • Facilitate alignment across IB Tech & CRM/Analytics teams on goals, outcomes, priorities, deadlines, and deliverables., • Influence, mentor, and collaborate with a distributed set of engineers, within multiple time zones, to set clear standards and best practices, • Write readable, testable, and maintainable code, • Drive innovation of new technologies Experience Needed: • 8+ years of experience with Java development, • Excellent written and verbal communication skills with the ability to present complex technical solutions in a clear and concise manner, • Hands on experience designing, developing, and delivering Java-based APIs (GraphQL/OpenAPI/gRPC) and Microservices using Spring Boot and AWS products (ECR/EKS/EC2/Beanstalk), • Experience with Streaming Technologies like Kafka, including designing and developing complex, scalable, and high-performance applications. Proven track record of delivering robust and efficient solutions in a fast-paced environment., • Experience in working with SQL building Stored Procedures, Functions and Data Warehousing solutions., • Strong problem-solving skills and design skills with focus on distributed, highly available, and fault tolerant systems, • Experience in developing TDD/BDD unit-tests and work with Quality Assurance team members on defect triage and resolution., • Proactively participates in Agile Ceremonies like Sprint Planning, Backlog Grooming etc., and experience in working with virtual teams., • Provides Leadership skills in mentoring team members, resolving technical challenges and performing code reviews in a peer programming environment., • Experience building systems from scratch, demonstrating a deep understanding of software architecture and design principles., • In-depth knowledge of Kafka and its ecosystem, with prior experience in event-driven architecture. Ability to design and develop robust data pipelines and streaming applications., • Experience with AWS EKS (Elastic Kubernetes Service), including deploying and managing containerized applications. Strong understanding of CI/CD pipelines and containerization technologies such as Docker and Kubernetes., • Strong multi-tasking skills and able to learn new technologies quickly Good to Have: • Exposure to Front-End web development (Angular/React/JavaScript/Typescript), • Exposure to Financial Services & Investment Banking business domain., • Exposure to Salesforce or similar CRM Eco-System., • Exposure to Business Intelligence tools (Tableau CRM, Cognos, PowerBI, etc.)., • Exposure to ETL & Data Engineering tools like Mulesoft, StreamSets & Databricks. Primary Location Full Time Salary Range of $150,000 - $220,000.

Client Overview Our client is a global organization seeking an experienced Senior Front-End Engineer (Java/Swing) to join its technology team. This individual will work within a collaborative engineering environment supporting enterprise-grade applications and contribute to the continued development and modernization of user-facing technology. Salary/Hourly Rate $136k - $175k Position Overview The Senior Front-End Engineer (Java/Swing) will design, develop, and maintain user-facing features for enterprise-grade applications. This position requires strong experience developing desktop user interfaces using Java Swing, along with knowledge of Java-based technologies and modern software development practices. The Senior Front-End Engineer (Java/Swing) will collaborate with cross-functional teams, contribute to architectural and technical decisions, promote front-end development best practices, and provide guidance to junior engineers. Responsibilities Of The Senior Front-End Engineer (Java/Swing) • Design, develop, and maintain high-quality front-end applications., • Develop and enhance desktop user interfaces using Java Swing., • Collaborate with UX/UI designers and cross-functional engineering teams., • Integrate front-end applications with APIs, back-end services, and databases., • Optimize application performance for speed, scalability, and maintainability., • Troubleshoot and resolve front-end issues., • Ensure code quality through testing, code reviews, and development best practices., • Contribute to architectural decisions and front-end technical strategy., • Mentor junior developers and encourage knowledge sharing across the team., • Stay current on emerging front-end technologies and development practices. Required Experience/Skills For The Senior Front-End Engineer (Java/Swing) • Proven professional experience developing desktop user interfaces using Java Swing., • Working knowledge of Spring Boot., • Working knowledge of the JDBC API for database interaction., • Experience or familiarity with Solace Event Broker., • Familiarity with RESTful APIs and system integration., • Experience with build and dependency management tools such as Apache Maven., • Understanding of version control systems such as Git., • Experience with feature and bug-tracking tools such as Jira., • Strong problem-solving and debugging skills., • Strong communication and collaboration abilities., • Applicants must be authorized to work in the United States without current or future employer sponsorship. Preferred Experience/Skills For The Senior Front-End Engineer (Java/Swing) • Experience with front-end frameworks such as React, Angular, or Vue.js., • Experience with TypeScript and modern state-management libraries such as Redux., • Experience with responsive design and cross-browser compatibility., • Knowledge of web application performance optimization., • Experience with AI-assisted development tools such as Kiro, Amazon Q, or similar., • Exposure to CI/CD pipelines and automated testing frameworks., • Knowledge of accessibility standards and best practices., • Familiarity with AWS, Docker, or other cloud/container technologies., • Understanding of front-end application security principles., • Experience working within Agile environments., • Ability to contribute to technical design discussions and propose innovative solutions. Education Requirements • Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field preferred., • Equivalent professional experience will be considered. Benefits • Benefits information will be provided during the interview process.

Project Description: DXC Luxoft has one of the world's leading Murex practices. We are a top-tier Murex Alliance Partner and a market leader in implementation, integration, upgrade, and migration. We provide end-to-end project services and have delivered over 200 successful Murex projects across all major asset classes and sectors including investment banking, asset management, corporate treasury, and insurance. This is a contractor position. Whether you possess a background in finance, technology, or Mathematics, your experience in the capital markets industry would be of high interest to us. Responsibilities: Testing responsibilities would include, but not limited to: • contribution to creation of a Test Design Document (TDD) and own testing outcomes at the project level, • Interaction with all up and downstream parties involved in testing, • Knowledge in technical environments such as SQL, XML, Unix, Windows, • Knowledge in CI tools like Jenkins, GitLab, Azure DevOps and others, • Strong understanding of version control systems such as GIT., • Experience with automation tools and scripting languages., • Knowledge in capital market is a plus., • Experience in the Software Engineering Industry, Software Quality & Testing, Test Management is a plus., • ISTQB certification or equivalent is a plus., • Communication and presentation skills, • Analytical thinking and problem-solving skills, • Teamwork and cross group collaboration, • Drive for excellence, • Eagerness to learn and develop on a broad scope (functional, product, finance, testing and technical), • Ability to work under pressure in a continuously evolving & challenging environment., • Build and manage personal Test schedule, • Manage and resolve testing conflicts, • Work closely with the analysis team to ensure clear testable acceptance criteria are part of the defined requirements, • Ensure that we have full traceability of test cases back to requirements, • Ensure that we understand test coverage at each stage, • Plan the project test strategy, within the guidelines + constraints of the program test strategy, • Define the project test environment requirements, and work with the Environments, • Configuration Management team to ensure that those environments are delivered, • Define the project test data strategy, and prepare common test data (working with the program test data lead), • Ensure that regression and automation tests are delivered along with (or asap after) the code release, and incorporated into future test phases including regression testing, • Participate in Quality Assurance reviews as required, • Interface with governance via the Delivery Management Meeting and Functional Management meeting, • Work with Program Management to plan and flex tester capacity and skills to meet project needs, • Work with program management to ensure the program can supply the necessary capacity and capability to staff and execute the various test cycles Mandatory Skills Description: • MXtest knowledge & experience, • MX.3 knowledge & experience, • University degree in Computer science, computer engineering, mechatronics or equivalent, • 0-3 years of experience, • Knowledge in technical environments such as SQL, XML, Unix, Windows, • Knowledge in CI tools like Jenkins, GitLab, Azure DevOps and others., • Strong understanding of version control systems such as GIT., • Experience with automation tools and scripting languages., • Knowledge in capital market is a plus., • Experience in the Software Engineering Industry, Software Quality & Testing, Test Management is a plus., • ISTQB certification or equivalent is a plus., • Communication and presentation skills, • Analytical thinking and problem-solving skills, • Teamwork and cross group collaboration, • Drive for excellence, • Eagerness to learn and develop on a broad scope (functional, product, finance, testing and technical), • Ability to work under pressure in a continuously evolving & challenging environment.

Position Summary The Senior Data Analyst will serve as the bridge between business stakeholders and the Enterprise Data team. This individual will transform data into actionable insights, define business metrics, ensure data quality, and help expand company's AI-ready data platform. They will work closely with Finance, Sales, Operations, Product, Customer Success, and Engineering to deliver trusted analytics, semantic models, dashboards, and data products. Key Responsibilities Business Intelligence & Analytics • Develop and maintain executive dashboards, reports, and scorecards using Tableau and Snowflake., • Partner with Finance, Sales, Operations, Product, and Customer Success to translate business requirements into analytical solutions., • Perform ad hoc analysis to identify trends, business opportunities, and operational improvements., • Define, calculate, and maintain standardized KPIs and business metrics across the organization., • Present analytical findings and recommendations to business stakeholders and executive leadership. Data Engineering & Data Integration • Develop and maintain SQL-based data transformation logic, views, and stored procedures within Snowflake., • Support the design, testing, and maintenance of ETL/ELT data pipelines from source systems such as PostgreSQL, SQL Server, Salesforce, APIs, and Amazon S3., • Validate data ingestion processes to ensure completeness, consistency, and accuracy across enterprise data platforms., • Troubleshoot data pipeline issues, perform root cause analysis, and work with Data Engineers to resolve production incidents., • Assist in optimizing SQL queries, data models, and reporting structures for scalability and performance., • Participate in deploying data enhancements through Development, QA, Stage, and Production environments while following SDLC and change management processes., • Contribute to data modeling initiatives, including dimensional models and curated reporting datasets. Data Quality & Governance • Monitor and improve enterprise data quality by identifying anomalies, inconsistencies, and reconciliation issues., • Develop data validation processes and reconciliation reports between source systems and Snowflake., • Maintain business definitions, data dictionaries, metadata, and documentation for enterprise reporting assets., • Collaborate with business and engineering teams to define data standards, governance policies, and reporting consistency. AI & Advanced Analytics • Support the development and maintenance of semantic models used by Snowflake AI and enterprise data agents., • Validate AI-generated responses and improve metadata, synonyms, and business definitions to enhance accuracy., • Assist in evaluating emerging AI capabilities that improve analytics, reporting, and business decision-making. Collaboration & Continuous Improvement • Work closely with Data Engineers, Software Engineers, Product Managers, and business stakeholders to deliver enterprise data solutions., • Participate in requirements gathering, solution design, testing, and user acceptance activities., • Identify opportunities to automate manual reporting processes and improve operational efficiency., • Promote best practices in analytics, data engineering, documentation, and data governance. Preferred Qualifications • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Business Analytics, or a related field., • 4–7 years of experience in data analytics, business intelligence, or analytics engineering., • Advanced SQL with experience writing complex queries, views, stored procedures, and performance tuning., • Experience with Snowflake or another cloud data warehouse., • Experience with Tableau or a comparable BI platform., • Working knowledge of ETL/ELT concepts and modern data architectures., • Familiarity with AWS services such as S3, Glue, or Lambda is preferred., • Experience working with APIs and semi-structured data (JSON, XML, Parquet)., • Basic Python scripting for data analysis or automation is a plus., • Experience with Git, SDLC processes, and Agile methodologies., • Excellent analytical, problem-solving, communication, and stakeholder management skills. This job description reflects someone who can not only build dashboards but also understand how data is ingested, transformed, governed, and consumed—making them an effective bridge between business users and your data engineering team while supporting your Snowflake-based data platform.

Job title: Junior AI Security Engineer Location: Irving Place, NY Rate: $50/hour on W2 Type: Contract Must: In-person interview This is an excellent opportunity for an early-career technical professional interested in applying AI, machine learning, Python, and automation to real-world cybersecurity challenges, including threat detection, security log analysis, anomaly detection, and operational efficiency. Working alongside senior engineers and an Enterprise Architect, you will help develop, test, optimize, and support AI-powered security tools while gaining valuable experience with enterprise security technologies and modern engineering practices. Key Responsibilities AI/ML Development & Security Analytics • Assist in developing, testing, tuning, and monitoring AI/ML models supporting cybersecurity threat detection and anomaly identification., • Analyze security logs, alerts, and telemetry to identify suspicious activity, unusual patterns, and potential security threats., • Prepare, clean, organize, and label security datasets for machine learning model training and evaluation., • Support model performance monitoring, testing, and continuous improvement. Python Development & Security Automation • Develop and maintain Python scripts to automate security-related tasks and workflows., • Assist in integrating AI/ML capabilities into existing cybersecurity tools and security operations pipelines., • Support automation initiatives that improve security monitoring, threat analysis, and operational efficiency., • Troubleshoot scripts, data-processing workflows, and integrations with guidance from senior engineers. Required Qualifications • Bachelor's degree in Computer Science, Cybersecurity, Data Science, Information Technology, or a related discipline, or equivalent practical experience., • Working knowledge of Python programming, including scripting and basic automation., • Foundational understanding of software development, data processing, or technical problem-solving., • Strong interest in artificial intelligence, machine learning, cybersecurity, and security automation., • Ability to analyze technical information, troubleshoot problems, and learn new technologies., • Strong attention to detail, documentation skills, and analytical thinking., • Excellent communication and collaboration skills., • Willingness to learn from senior technical professionals and contribute to enterprise engineering initiatives. Preferred Qualifications • Familiarity with machine learning libraries such as scikit-learn, PyTorch, or TensorFlow., • Basic understanding of cybersecurity concepts, including networking, logging, common threats, and security monitoring., • Exposure to SIEM or SOAR platforms and security operations workflows., • Familiarity with cloud environments such as Microsoft Azure, AWS, or Google Cloud Platform., • Experience working with log data, telemetry, security alerts, or anomaly-detection techniques., • Academic projects, internships, or personal projects involving Python, AI/ML, cybersecurity, or automation., • Relevant certifications such as CompTIA Security+, Microsoft Azure Fundamentals (AZ-900), or comparable credentials.

Project Description: • As a Senior Full Stack Java Engineer within the US Corporate Loans POD, you will design, develop, and deliver enterprise integration solutions connecting Loan IQ with upstream and downstream platforms. You will leverage modern cloud-native technologies, AI-assisted development tools, and Agentic AI practices to improve software quality, scalability, and delivery velocity., • A key expectation of this role is hands-on experience building AI agents and intelligent engineering solutions that automate and enhance Software Development Lifecycle (SDLC) processes, improving developer productivity and accelerating delivery outcomes. Responsibilities: • Design and develop REST APIs, event-driven integrations, and messaging interfaces., • Build and maintain integrations between Loan IQ and enterprise applications., • Design and implement AI-powered agents and workflows that improve SDLC processes and engineering productivity., • Leverage AI-assisted development tools to accelerate coding, testing, debugging, code reviews, and documentation., • Collaborate with QA, Business Analysts, Product Owners, and Architects to deliver end-to-end solutions., • Conduct code reviews and promote engineering, integration, and cloud best practices., • Contribute to CI/CD automation, release management, and deployment processes., • Design and implement cloud-native integration solutions using Azure services and serverless technologies., • Troubleshoot production issues and optimize application and integration performance. Mandatory Skills Description: Core Engineering • 8+ years of software engineering experience, ideally within Financial Services., • Strong expertise in Java, Spring Boot, REST APIs, and distributed systems., • Experience with Kafka, IBM MQ, or similar messaging technologies., • Strong integration experience with Loan IQ, lending, banking, or enterprise platforms., • Deep understanding of API design, system integration, and enterprise application architecture. Agentic AI & Software Engineering • Experience building AI Agents and Agentic Software Engineering solutions to automate and enhance SDLC processes., • Hands-on experience with Java-based AI frameworks such as Spring AI, LangChain4j, Semantic Kernel, MCP (Model Context Protocol), or similar technologies., • Experience implementing RAG, prompt engineering, tool calling, workflow orchestration, and agent-based architectures., • Experience applying AI to: o Code generation o Automated testing o Code reviews o Documentation generation o Troubleshooting and incident analysis o Developer productivity automation • Strong understanding of AI governance, security, observability, and responsible AI practices. Cloud & Architecture • Hands-on experience with Microsoft Azure services., • Experience building serverless solutions using Azure Functions., • Strong understanding of cloud-native architecture, microservices, and event-driven integration patterns., • Experience with Azure Service Bus, Event Grid, or similar cloud messaging platforms., • Familiarity with Azure OpenAI and AI-enabled cloud architectures is highly desirable. AI-Assisted Development • Hands-on experience with AI-assisted development tools such as GitHub Copilot, GitLab Duo, Cursor, Windsurf, or similar platforms., • Experience leveraging Generative AI for coding, testing, debugging, documentation, and engineering productivity improvements., • Ability to apply AI tools responsibly while maintaining governance, compliance, security, and quality standards. DevOps & Tooling • Experience with GitLab CI/CD, Jenkins, Azure DevOps, or similar CI/CD platforms., • Experience with Docker, Kubernetes, and containerized deployments., • Strong understanding of DevOps, automated testing, release management, and deployment automation. Nice-to-Have Skills Description: • Experience in Commercial Lending, Loan Servicing, Corporate Banking, or Capital Markets., • Azure certifications or relevant cloud certifications., • Experience building enterprise AI applications, copilots, or agentic solutions., • Passion for modern software engineering, AI innovation, and platform modernization.

Role Overview The Junior AI Specialist will assist in evaluating, testing, and deploying generative AI solutions across various legal and business functions. This role provides critical support for AI pilots, prompt testing, workflow documentation, and user adoption, contributing to innovative legal technology initiatives within a dynamic corporate environment. Key Responsibilities • Observe, document, and analyze legal and business workflows to identify opportunities for AI integration and support process automation initiatives., • Develop, test, and refine prompts for common legal and operational use cases, incorporating feedback to improve clarity, accuracy, and effectiveness., • Assist in executing pilot programs for approved AI and legal technology platforms, including organizing test cases, recording results, and escalating issues to senior team members., • Maintain comprehensive documentation of prompts, testing outcomes, limitations, and use cases to support consistent AI workflows., • Collaborate on the development of lightweight AI applications and workflow automation tools, supporting use-case development in contract review, legal research, matter intake, billing, document management, and compliance tracking., • Support the design and implementation of legal and back-office applications through low-code/no-code platforms, escalating technical or security concerns as needed., • Aid in project planning by preparing schedules, meeting notes, status updates, and tracking pilot progress in coordination with legal and technical teams., • Serve as a primary point of contact for end-users seeking AI support, delivering training, creating user guides, FAQs, and facilitating firm-wide AI adoption initiatives., • Organize and support firm-wide AI events, including logistics, content development, participant tracking, and follow-up., • Manage AI content databases, ensuring content accuracy, content curation, permissions, and troubleshooting within content management systems. Core Qualifications & Requirements • Bachelor’s degree in a related field (e.g., Business, Legal Studies, Data, Communications, Technology); 1-2 years of post-college experience preferred., • Foundational experience with generative AI tools, prompt creation, workflow documentation, and supporting technology-enabled projects., • Familiarity with legal technology platforms, document management, or data handling systems; experience with legal research tools such as Westlaw, LexisNexis, or content management systems like iManage is a plus., • Technical proficiency with productivity software and AI platforms; ability to learn new tools quickly., • Clear and organized written and verbal communication skills; ability to explain AI concepts and document findings professionally., • Ability to handle sensitive data responsibly and maintain confidentiality within legal and professional services environments. Nice-to-Have Qualifications • Experience working in a legal, professional services, or highly confidential business environment., • Knowledge of legal workflows, knowledge management, and legal content organization., • Prior experience supporting training, change management, or technical documentation., • Interest in advancing skills in generative AI, legal technology, and responsible AI practices. Core Technical Skills • Generative AI tools, prompt engineering, workflow automation, • Legal research & data handling platforms (Westlaw, LexisNexis, iManage), • Low-code/no-code development platforms, AI-assisted applications, • Document management systems, content curation & database management, • Microsoft Office Suite, collaboration tools, and project management software Career Impact This role offers a unique opportunity to be at the forefront of legal technology innovation, directly supporting AI-driven workflows that transform legal and business operations, with potential career growth into technology management or legal operations roles. Compensation and Benefits Salary range: $80,000 to $110,000. The position offers an annual merit-based bonus, comprehensive health benefits (medical, dental, vision), generous PTO, 401(k) plan, and employee assistance programs. The Phoenix Group Advisors is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace and prohibit discrimination and harassment of any kind based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We strive to attract talented individuals from all backgrounds and provide equal employment opportunities to all employees and applicants for employment.

Full Stack Software Engineer (React / Node.js) Contract-to-Hire Opportunity with a Major Investment Firm Location: Newark, NJ (Hybrid - 3 Days/Week Onsite) Duration: 12+ Months (Contract-to-Hire) Pay Rate: Up to $70/hour W2 (Based on Experience) Employment Type: W2 Only (No C2C) Candidates: Local Candidates Only We are seeking a Full Stack Software Engineer with a strong emphasis on React and Node.js development to join a growing technology team supporting enterprise applications within a leading financial services organization. This role is ideal for someone who enjoys building modern, scalable web applications and collaborating with cross-functional teams in an Agile environment. You'll work on innovative digital initiatives that directly support business growth while leveraging modern cloud technologies and development best practices. What You'll Do • Build scalable, high-quality applications using modern development standards and architectural best practices, • Develop responsive front-end applications using React.js, • Design and build backend services and RESTful APIs using Node.js, • Collaborate with Product Owners, Technical Leads, and fellow Engineers to deliver business-critical solutions, • Participate in technical design discussions and contribute to application architecture, • Write clean, maintainable, and well-documented code, • Develop unit tests, integration tests, and automated testing solutions, • Troubleshoot production issues and implement effective solutions, • Contribute to continuous improvement initiatives and adopt emerging technologies, • Work within Agile teams to deliver high-quality software on schedule Required Qualifications • Strong hands-on experience with React.js, including Hooks, state management, and component-based architecture, • Solid backend development experience using Node.js (Express and/or NestJS), • Strong proficiency with JavaScript and TypeScript, • Experience designing and integrating RESTful APIs and/or GraphQL, • Experience building applications using microservices architecture, • Hands-on experience with AWS services such as EC2, S3, API Gateway, and Lambda, • Experience deploying containerized applications using Docker and AWS ECS or EKS, • Experience with CI/CD pipelines and automated deployments, • Understanding of AWS infrastructure concepts including VPC, IAM, Load Balancers, and Auto Scaling, • Experience working with relational and/or NoSQL databases such as PostgreSQL or MongoDB, • Familiarity with monitoring and logging tools such as CloudWatch Preferred Experience • Experience working within enterprise-scale application environments, • Knowledge of React best practices for building responsive, scalable user interfaces, • Exposure to cloud-native application development, • Experience working in Agile/Scrum environments, • Financial services experience is a plus If you're looking for a long-term opportunity where you can work with modern technologies, build enterprise applications, and grow your career within a leading investment firm, we'd love to hear from you. Apply today with your updated resume.

Company Description Meridian brings context-aware AI agents to industries that have traditionally been overlooked in technology adoption such as supply chain, manufacturing, staffing and more. The company works closely with sector experts to automate operations, enhance decision-making, and unlock new efficiencies through applied AI. Meridian is backed by leading investors, including Sunflower Capital, Pear VC, SV Angel, and angels from Anthropic. Team members join a fast-moving environment where they can shape products from the ground up and see their work deployed directly in critical industry workflows. Role Description As a Software Engineer Intern at Meridian, you will work full time on-site in New York, NY, collaborating closely with engineers and product team members to build and improve AI-driven software. Your day-to-day tasks will include implementing and testing backend features, writing clean and maintainable code, and contributing to the design of services and APIs. You will help debug issues, review code, and participate in stand-ups and technical discussions to ensure reliable and scalable systems. The role also involves learning and applying best practices in software engineering, documenting your work, and supporting integration of your features into production environments under guidance from senior engineers. Qualifications • Strong foundation in Computer Science, including data structures, algorithms, and basic systems concepts., • Experience or coursework in Software Development and Programming using at least one modern language (e.g., Python, Java, Go, or similar)., • Knowledge of Object-Oriented Programming (OOP) principles and ability to apply them to real-world problems., • Exposure to Back-End Web Development, such as building APIs, working with databases, or integrating services., • Currently pursuing a degree in Computer Science, Software Engineering, or a related technical field., • Ability to work on-site in New York, NY and collaborate effectively in a team-focused environment., • Comfort with learning new tools and frameworks, and openness to feedback and code review., • Strong problem-solving skills, attention to detail, and clear written and verbal communication., • Interest in AI-driven products or experience with machine learning concepts is a plus.

At Guac, we're solving grocery food waste with AI. We forecast exactly how much of each product will sell, helping grocery retailers order and produce the perfect amount of inventory — and we're building AI-native tools that put those forecasts directly into the hands of store operators and buyers. The grocery industry is enormous (it accounts for 4% of GDP) — and grocery food waste is a huge cost to grocers' bottom lines, but also to our planet. Today, we're working with major supermarket chains in the US and Canada, and we've scaled to 7-figures in ARR. We're backed by leading investors including Y Combinator, 1984 Ventures, Collaborative Fund, and angels from Open AI, Instacart, and Citadel Securities. We've brought together an exceptional team from Palantir, BCG, Oxford, Cambridge, and MIT to solve intellectually challenging problems and tackle food insecurity and waste with technology. We're looking for a QA Engineer to own quality and testing across our web and mobile products on an initial 3–4 month contract, with potential to extend. About the Role As our first dedicated QA hire, you'll shape how quality works at Guac. Your responsibilities will include: • Review requirements and designs for new features, write thorough test plans, and execute them before launch, • Own the regression testing process ahead of each release across our React/Next.js web app and React Native mobile app, • Write clear, reproducible bug reports and drive defects through to resolution, • Lead the buildout of our automated end-to-end test suite, progressively replacing manual regression with reliable automation, • Write and maintain API-level tests to validate backend integrations, • Use AI tools to accelerate test authoring, surface edge cases, and improve coverage About You • 3+ years of QA experience on web and/or mobile applications, • Strong ability to write thorough test plans and reproducible bug reports from requirements or designs, • Experience with test automation frameworks (Playwright, Cypress, Detox, Maestro, or similar) — you've built suites from scratch before, • Experience with API testing (Postman, REST Assured, or similar), • Comfortable working async with minimal supervision, • Available during core ET business hours when needed e.g. during release cycles (10am–6pm ET), • (Bonus) Experience with our stack: Playwright, Jest, Maestro, React/Next.js, React Native, • (Bonus) Experience testing logistics, supply chain, grocery, or fulfillment software, • (Bonus) Familiarity with CI/CD pipelines (GitHub Actions, CircleCI) and SQL for data validation, • (Bonus) Daily use of AI coding tools (Claude, Cursor, Copilot) to ship faster Engagement • Independent contractor, ~20 hours/week, • Initial 3–4 month contract with strong potential to extend in duration or expand in hours, • Remote, flexible, with at least partial availability during core ET hours, • Open to candidates outside the US Our Tech Stack • Web: React, Next.js, Playwright, Jest, • Mobile: React Native, Maestro, • API: Postman, Bruno