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Senior Platform Engineer, Workday Integration (Extend) Do you love building and pioneering in the technology space? Do you enjoy solving complex technical 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 Platform Engineers who are passionate about developing highly-resilient, fundamentally-sound objects to support the Human Resource technology driving Capital One. As part of a team that’s leading the next wave of disruption on a whole new scale, you will play an integral part in advancing Capital One’s Human Resource Technology ecosystem and culture of technical excellence. You will champion automation of functional and technical processes and bring your expertise to drive innovative solutions. General Responsibilities: * Design, develop, test, and deploy custom applications and extensions using Workday Extend, including Workday Studio, Orchestrations, Workday APIs, and related technologies. * Collaborate with HR business partners, product owners, and other stakeholders to gather requirements, define technical specifications, and ensure solutions align with business needs. * Deliver solutions in Workday across HCM, Recruiting, Compensation, Payroll and Benefits through efficient and organized processes while maintaining high standards * Develop and maintain integrations between Workday and other internal/external systems using Workday Studio, Orchestrations, Enterprise Interface Builder (EIB), Core Connectors, and other integration tools. * Perform unit testing, system integration testing, and support user acceptance testing (UAT) to ensure high-quality and defect-free solutions. * Document technical designs, development processes, and support procedures. * Effectively communicate across team, Product Owner, stakeholders and influence solutions across business partners * Identify opportunities for process improvements, collaborate with HR partners to provide innovative ideas and insights to redesign business processes that will optimize business results. Basic Qualifications: * High School Diploma, GED, or equivalent certification * At least 4 years experience in platform engineering on HR platforms (Workday, Peoplesoft, or Successfactors) * At least 2 years of experience designing and developing integration solutions * At least 2 years of experience working with APIs within the Workday environment using REST or SOAP Preferred Qualifications: * Bachelor's Degree * 5+ years of experience working with Workday Human Resources modules including HCM, Payroll, Benefits, Recruiting or Talent and Performance Management * 3+ years of experience designing and developing integration solutions in Workday using Core Connectors, Workday Studio, Custom Reports or RaaS solutions * 3+ years of experience working with APIs within the Workday environment using REST or SOAP * Workday Integration Developer certifications * 1+ years of experience designing and developing solutions using Workday Extend * 1+ years of experience with AWS, GCP, Microsoft Azure or another cloud service * 2+ years of experience in Agile practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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. Cambridge, MA: $127,500 - $145,500 for Senior Platform Engineer Chicago, IL: $115,900 - $132,200 for Senior Platform Engineer McLean, VA: $127,500 - $145,500 for Senior Platform Engineer New York, NY: $139,100 - $158,700 for Senior Platform Engineer Plano, TX: $115,900 - $132,200 for Senior Platform Engineer Richmond, VA: $115,900 - $132,200 for Senior Platform Engineer San Francisco, CA: $139,100 - $158,700 for Senior Platform Engineer Wilmington, DE: $115,900 - $132,200 for Senior Platform Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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, Software Engineering, Full Stack (Mobile, React Native) Do you love building and pioneering in the 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 solve real problems and meet real customer needs. We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Sr. Manager Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. We are seeking an experienced and inspiring people leader to lead our talented engineering team within Velocity Black. The team is responsible for full-stack feature development across our mobile and web platforms, enhancing customer experiences for both our members and our internal agents. The ideal candidate will be a strategic owner of critical features including member identity and data, integration with core business systems, and new member experiences. What You’ll Do: * Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company * Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code * Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment * Utilize programming languages like JavaScript, TypeScript, NodeJS, React / React Native, Swift/Kotlin, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services Basic Qualifications: * Bachelor’s Degree * At least 6 years of experience in software engineering (Internship experience does not apply) * At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) * At least 4 years of people management experience Preferred Qualifications: * Master’s Degree * 9+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go * 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service * 4+ years of experience in open source frameworks * 7+ years of people management experience * 2+ years of experience in Agile practices Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. New York, NY: $245,900 - $280,600 for Sr. Mgr, Software Engineering 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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, Software Engineering, Machine Learning - Capital One Software (Remote) Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. As a Capital One Machine Learning Engineer (MLE), you'll be part of software team dedicated to producing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: 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: * 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. * 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). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * 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. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * 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. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions * At least 4 years of people management experience. Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Remote (Regardless of Location): $204,900 - $233,800 for Sr. Mgr, Machine Learning Engineering Richmond, VA: $204,900 - $233,800 for Sr. Mgr, Machine Learning Engineering 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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 currently sourcing for a Principal Trading Engineer (Java, Algo, SOR) for crypto Trading to work in Jersey City, New Jersey. The Role The Principal Trading Engineering (Java, Algo, SOR) will be working in development and delivery of high quality, timely and maintainable software solutions in an Agile environment which meet functional and non-functional business requirements. This role will involve partner & stakeholder engagement, design and release support. In this role, you will be an integral part of the Trading Team where you’ll get the opportunity to develop your skills, collaborate across Fidelity teams and continue to learn in a fun, collaborative, iterative, and rapidly changing environment. This is a hands-on role where you will write code for product features. It is a great opportunity to build secure, scalable, resilient cloud-based services utilizing modern software development practices. This is a hands-on, individual contributor role where you will be responsible for: * Designing and implementing technology solutions for the Fidelity Digital Assets® business * High Performance algorithms for trading / crypto trading * Working closely with our business partners to contribute to business-critical initiatives * Demonstrate software engineering excellence through continuous integration, continuous deployment * Keeps current with IT blueprint, frameworks and technologies that would benefit us and improve our productivity; guides junior team members on technology * Collaborate with multiple stakeholders/large cross functional teams as part of work delivery * Follows practices and contribute towards innovative solutions to increase productivity * This is a hands-on role where you will write code for product features * Set technical direction for software developers by concluding design with other tech leads and architecture The Expertise and Skills You Bring * Bachelor's degree in computer science or related field required * 10+ years of trading engineering experience * Experience in Capital markets or cryptocurrency specifically with exposure to Trading, Algo Trading * Strong background in designing and developing low latency trading systems * Knowledge of WebSocket and FIX protocols * Experience in building matching engine, OMS/EMS or exchange-connectivity platform * Experience using kernel bypass e.g. Solarflare OpenOnLoad * Extensive experience with modern Java using zero GC pattern * Highly proficient in ultra-low latency design patterns and optimizing trading systems * Hands on experience with low latency messaging products, such as Aeron, Solace or 29West * Proficient in SQL and a working knowledge of relational and time series databases * Experience with designing APIs, distributed systems, asynchronous workers and resilient messaging services * An understanding of microservice architecture and cloud-based deployments * An understanding of sequencer architecture * Ability to build reliable software that can withstand unreliable environments * Can provide leadership and mentorship across small, agile teams in a very collaborative environment where your ideas are welcome * Solid analytical, communication, and organizational skills * An interest in and experience with cryptocurrencies and a passion for keeping up to date in the space * Have the drive and ability to deliver software with a high degree of automation * Proficient with version control systems and can handle development for multiple releases in parallel * Have the spirit and willingness to contribute to org level innovation * Have a learning mindset and can demonstrate versatility in addition to your specialization * Should have the ability to work effectively with both partners and project team members * Have knowledge of Agile methodologies or iterative development processes * Have knowledge of Acceptance test-driven development a plus. * Have ability to take ownership * Coach team members and take accountability for the deliverables * Excellent collaboration and Interpersonal skills * Great attitude, being a mentor, team player and effective contributor * You have a focus on productivity The Team Fidelity Digital Assets®, a Fidelity Investments Company, is developing a full-service enterprise-grade platform for storing, trading and servicing digital assets, such as Bitcoin and Ethereum. Fidelity Digital Assets® adopts an entrepreneurial culture and startup approach while serving as one of the most innovative business units within Fidelity Investments. Our global, diverse team of hundreds of forward-thinking professionals lead with agility and creativity to build solutions that bridge the gap between traditional institutional investors and their exposure to digital assets. The firm’s tenure and experience across multiple business lines present our employees with unprecedented access to knowledge, technology, and resources that help our team reshape the future of finance. The Fidelity Digital Asset Trading Team is responsible for platform services and APIs that manage trading of cryptocurrency. Platform contains a crossing engine and a smart router that would connect and send client orders to other exchanges and liquidity providers. In addition to aggregating market data and routing orders the platform also includes multiple internal/external facing user interfaces and API and services to support the platform. #cryptojobs The base salary range for this position is $126,000-255,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Certifications:Category:Information Technology

Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: * 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: * 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. * 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). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * 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. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * 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. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * 3+ years of people management experience * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. McLean, VA: $225,400 - $257,200 for Sr. Lead Machine Learning Engineer New York, NY: $245,900 - $280,600 for Sr. Lead Machine Learning Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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 (People Leader) Capital One's Digital Commerce & Innovation organization is seeking a Machine Learning Engineer, People Leader, at the Senior Manager level with a passion for building and growing full stack applications to join its Velocity Black by Capital One team. As a candidate for this role, you’re able to seamlessly switch from diving deep into technology with engineers to driving high-level, strategic discussions. You are a naturally curious technologist and stay on top of emerging trends, including prototyping of nascent technologies. You are not afraid to question any existing processes and solutions, yet you display a keen sense of business value proposition and focus on the right priorities. At Capital One, you will help leverage 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. Velocity Black by Capital One harnesses the power of artificial intelligence, the warmth of human experts and the convenience of the latest interfaces to help high-performance people actualize the full potential of their lives. By harnessing 24/7 chat, AI, and mobile payments, we help our customers do more and be more in the digital age. From access to the hottest restaurants to guaranteed upgrades at the world’s finest resorts. Make a custom request through the app and you will be chatting to our team within 1 minute, 24/7/365. The service we offer and build upon is unlike anything ever built before, and our product is rapidly evolving. Velocity Black is our core product, built in React Native and offering exclusive access and unbeatable word-wide service across Travel, Experiences, Luxury Goods and Dining. Our internal and bespoke request management platform, Gravity, is built with React and Node.js micro services, virtually augmenting our expert customer service agents with AI, delivering the unrivalled personal service our members expect and love. What you’ll do in the role: 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: * 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. * 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). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * 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. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * 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. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions * At least 4 years of people management experience. Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. New York, NY: $245,900 - $280,600 for Sr. Mgr, Machine Learning Engineering 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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 currently sourcing for a Vice President Trading Engineer for Crypto Trading to work in Jersey City, New Jersey. The Role Vice President Trading Engineer will be working in development and delivery of high quality, timely and maintainable software solutions in an agile environment which meet functional and non-functional business requirements. This role will involve partner & stakeholder engagement, design and release support. * Designing and implementing technology solutions for the Fidelity Digital Asset business * High Performance algorithms for trading / crypto trading * Working closely with our business partners to contribute to business-critical initiatives * Demonstrate software engineering excellence through continuous integration, continuous deployment, * Keeps current with IT blueprint, frameworks and technologies that would benefit us and improve our productivity; guides junior team members on technology * Collaborate with multiple stakeholders/large cross functional teams as part of work delivery * Follows practices and contribute towards innovative solutions to increase productivity * This is a hands-on role where you will write code for product features * Set technical direction for software developers by concluding design with other tech leads and architecture. The Expertise and Skills You Bring * Bachelor's degree in computer science or related field required * At least 12 years of software engineering experience * Strong background in designing and developing low latency trading systems. * Experience in building SOR, Algo engine, or exchange-connectivity for Equities or Crpto. * Experience using kernel bypass e.g., Solarflare OpenOnLoad. * Extensive experience with modern Java using zero GC pattern. * Highly proficient in ultra-low latency design patterns and optimizing trading systems. * Hands on experience with low latency messaging products, such as Aeron, Solace or 29West. * Knowledge of FIX protocols * Proficient in SQL and a working knowledge of relational and time series databases * Experience with designing APIs, distributed systems, asynchronous workers and resilient messaging services * An understanding of cloud-based deployments using Kubernetes and AWS * Ability to build reliable software that can withstand unreliable environments * Can provide leadership and mentorship across small, agile teams in a very collaborative environment where your ideas are welcome * Solid analytical, communication, and organizational skills * An interest in and experience with cryptocurrencies and a passion for keeping up to date in the space. * Have the drive and ability to deliver software with a high degree of automation * Proficient with version control systems and can handle development for multiple releases in parallel * Have the spirit and willingness to contribute to org level innovation * Have a learning mindset and is able to demonstrate versatility in addition to your specialization * Should have the ability to work effectively with both partners and project team members * Have Knowledge of Agile methodologies or iterative development processes * Have Knowledge of Acceptance test-driven development a plus. * Have Ability to take ownership * Coach team members and take accountability for the deliverables * Excellent collaboration and Interpersonal skills * Great attitude, being a mentor, team player and effective contributor * You have Focus on productivity * Experience in Capital markets or Crypto Currency specifically with exposure to Trading, Algo Trading. The Team Fidelity Digital Assets®, a Fidelity Investments Company, is developing a full-service enterprise-grade platform for storing, trading and servicing digital assets, such as Bitcoin and Ethereum. Fidelity Digital Assets® adopts an entrepreneurial culture and startup approach while serving as one of the most innovative business units within Fidelity Investments. Our global, diverse team of hundreds of forward-thinking professionals lead with agility and creativity to build solutions that bridge the gap between traditional institutional investors and their exposure to digital assets. The firm’s tenure and experience across multiple business lines present our employees with unprecedented access to knowledge, technology, and resources that help our team reshape the future of finance. As a Software Engineer you will be an integral part of the Trading team. You’ll get the opportunity to develop your skills, collaborate across Fidelity teams and continue to learn in a fun, collaborative, iterative, and rapidly changing environment. This is a hands-on role where you will write code for product features. It is a great opportunity to build secure, scalable, resilient cloud-based services utilizing modern software development practices. You will get the opportunity to develop your skills, collaborate across Fidelity teams and continue to learn in a fun, collaborative, iterative, and rapidly changing environment. The Fidelity Digital Asset® Trading Team is responsible for platform services and APIs that manage trading of crypto currency. Platform contains a crossing engine and a smart router that would connect and send client orders to other exchanges and liquidity providers. In addition to aggregating market data and routing orders the platform also includes multiple internal/external facing user interfaces and API and services to support the platform. The base salary range for this position is $140,000-285,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of ___ to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Information Technology

Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: 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: * 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. * 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). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * 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. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * 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. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s Degree * At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) * At least 3 years of experience designing and building data-intensive solutions using distributed computing * At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) * At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: * 1+ years of experience building, scaling, and optimizing ML systems * 1+ years of experience with data gathering and preparation for ML models * 2+ years of experience developing performant, resilient, and maintainable code * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience with distributed file systems or multi-node database paradigms * Contributed to open source ML software * Authored/co-authored a paper on a ML technique, model, or proof of concept * 3+ years of experience building production-ready data pipelines that feed ML models * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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. McLean, VA: $158,600 - $181,000 for Senior Machine Learning Engineer New York, NY: $173,000 - $197,400 for Senior Machine Learning Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: * 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: * 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. * 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). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * 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. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * 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. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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. Sales Territory: $175,800 - $200,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Anytown, IL: $175,800 - $200,700 for Lead Machine Learning Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Lead Machine Learning Engineer (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. 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. What you’ll do in the role: * 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: * 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. * 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). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * 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. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * 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. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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. New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead Software Engineer Who is Mastercard? We work to connect and power an inclusive, digital economy that benefits everyone, everywhere, by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships, and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation, and delivers better business results. Technology at Mastercard What we create today will define tomorrow. Revolutionary technologies that reshape the digital economy to be more connected and inclusive than ever before. Safer, faster, more sustainable. And we need the best people to do it. Technologists who are energized by the challenges of a truly global network. With the talent and vision to create the critical systems and products that power global commerce and connect people everywhere to the vital goods and services they need every day. Working at Mastercard means being part of a unique culture. Inclusive and diverse, a rich collaboration of ideas and perspectives. A place that celebrates your strengths, values your experiences, and offers you the flexibility to shape a career across disciplines and continents. And the opportunity to work alongside experts and leaders at every level of the business, improving what exists, and inventing what’s next. About The Role As a lead software engineer at mastercard, you are expected to perform following responsibilities: Own complex problems having dependency across services and facilitate cross-functional team interactions to drive resolution Write code to build and enhance applications/services and promote code-reviews, code scanning, and other standard development practices to deliver high-quality artifacts to production. Define, design, and develop procedures and solutions at a service level to meet the business requirements/enhancements Drive prioritization decisions and trade-offs in working with product partners Identify opportunities and build roadmaps to enhance primary service/function Automate and simplify all aspects of software delivery and development actively evangelizing the need to automate and simplify where needed. Drive seamless integration across all connected services to meet end-user expectations Drive blameless postmortems culture to identify root causes of incidents and implement learnings Introduce new technologies and architecture by following enterprise guidelines Advocate for engineering principles outside of current organization/platform Provide development and architecture guidance to team members Build relationships and effective partnerships across organizations Write and evaluate recommendations for job promotions based on an unbiased view of one's accomplishments Conduct technical interviews for hiring engineering staff and raising the performance bar Lead by example with hands-on approaches to demonstrate engineering excellence Encourage staff to share and seek knowledge within their Guild/Program to drive reuse of patterns/libraries/practices and enhance productivity All About You Has the ability to write secure code in three or more languages (e.g., C, C+, C#, Java, JavaScript) and familiar with secure coding standards (e.g., OWASP, CWE, SEI CERT) and vulnerabilities Has skills in building applications using open frameworks to achieve reuse and reduce development times (e.g., Spring Boot, Steeltoe, Angular, DXP, others) Understands internals of operating systems (Windows, Linux) to write interoperable and performant code Able to perform debugging and troubleshooting to analyze core, heap, thread dumps and remove coding errors Has skills to document and coach team on the development practices and coding guidelines (e.g., branching, peer reviews, library use, logging, scanning rules, test-driven development, error handling) Understands use cases for advanced design patterns (e.g., service-to-worker, MVC, API gateway, intercepting filter, dependency injection, lazy loading, all from the gang of four) to implement efficient code Has skills to undertake a technical review of code across applications and their dependencies to look for anti-patterns and promote continuous refactoring Understands and elaborates technical debt and operational issues to drive prioritization discussions with stakeholders to improve the run experience Understands system architecture to plan for platform and infrastructure capacity (e.g., database, compute, network, storage) and drives the dependency prioritization to reduce the delivery lead time Has skills to understand customer journeys and ensure a Mastercard good experience by continuously reducing Mean time to mitigate (MTTM) for incidents and ensuring high availability (99.95% as a starting point) Has skills to simplify deployment and eliminate software and infrastructure snowflakes using standardized platforms, ephemeral instances, and automation Has skills to orchestrate release workflows and pipelines and apply standardized pipelines via APIs to achieve CI and CD using industry-standard tools (e.g., Jenkins, Bamboo, AWS/Azure pipelines, XL Release, others) Able to configure rules and build automation for code with vulnerability scanning and software composition analysis using standard tools (e.g., Sonar, Checkmarx, Nexus, JFrog XRay, Veracode, others) Has skills to define, organize, and report on test runs for major, minor, and hotfix releases (including unit, component level, system level, customer journeys, past customer issues, and regulatory controls) Has skills to conduct various performance tests (e.g., load, spike, breakpoint, endurance) to Understands application/service limits and behaviors Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: * Abide by Mastercard’s security policies and practices; * Ensure the confidentiality and integrity of the information being accessed; * Report any suspected information security violation or breach, and * Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. Pay Ranges New York City, New York: $168,000 - $277,000 USD

Job Description Associate Vice President Bridge Inspection Practice Lead US-NY-New York Job ID: 2025-3175 Type: Regular Full-Time of Openings: 1 Category: Civil/Structural Engineering The LiRo Group Overview We are seeking a highly skilled and motivated Associate Vice President – Bridge Inspection Practice Lead to join our team in our New York, NY, Mineola, NY, or Edison, NJ office. This senior leadership role will oversee the delivery of bridge inspection programs, manage and mentor inspection teams, and lead business development efforts with key transportation agencies. The successful candidate will play a crucial role in shaping and expanding LiRo-Hill’s Bridge Inspection practice while ensuring the highest standards of safety, quality, and technical excellence. At LiRo-Hill, we pride ourselves on being an Integrated Construction, Design, and Technology Solutions firm. Ranked among the nation’s top A/E firms by Engineering News-Record, we have over 1,100 employees across the Northeast and are part of Global Infrastructure Solutions Inc. (GISI), a 7,000+ person, employee-owned family of companies that includes Hill International and GEI Consultants. GISI’s network expands our market reach and capabilities, opening the door to exciting opportunities and synergies for our teams. We are committed to delivering excellence for our clients while fostering a culture of collaboration, innovation, and growth for our people. Our mission is to be the “go-to” firm in our areas of specialty—trusted advisers on the most challenging and rewarding projects in the region. Responsibilities * Leadership • Lead and grow LiRo-Hill’s Bridge Inspection practice across our regions of operation., • Develop and maintain strong relationships with NYCDOT and other key transportation agencies., • Proactively engage in business development, proposal preparation, and pursuit strategies., • Supervise, mentor, and develop engineering and inspection staff for both technical and professional growth., • Oversee staffing plans, project assignments, and performance reviews., • Track and manage project financial performance and revenue projections on a monthly and quarterly basis., • Manage and oversee NBIS bridge inspection projects, ensuring compliance with FHWA and city/state DOT requirements, as applicable., • Supervise field inspection teams, review inspection reports, and ensure QA/QC of deliverables., • Lead coordination with local, state, and regional transportation agencies., • Serve as Team Leader on select projects, conducting site visits and inspections, including hands-on and rope access methods as needed., • Provide technical guidance, problem-solving, and recommendations related to structural condition, maintenance, and rehabilitation., • Support integration of bridge inspection data into asset management and planning systems. Qualifications • Bachelor of Science in Civil/Structural Engineering, • 12+ years of progressive experience in bridge inspection and structural engineering, • At least 5 years of recent bridge inspection experience as a Team Leader, • New York Professional Engineer (PE) license required (NJ PE a plus), • Active FHWA/NHI Bridge Inspection Training Certification (2-Week Bridge Safety Training and/or Refresher Course required at time of hire), • Direct experience with NYCDOT bridge inspection programs (NYSDOT and NJDOT experience preferred), • Familiarity with additional agencies including TBTA, PANYNJ, NYCT, LIRR, and other NY/NJ transportation agencies (preferred, not required), • Physically capable of performing tasks associated with bridge inspection, including working at heights on ladders, scaffolding, aerial lifts, and other access equipment, • Strong knowledge of NBIS requirements and AASHTO/AASHTOWare Bridge Management protocols, • Excellent written, verbal, and presentation skills, • Demonstrated ability to mentor staff, manage inspection teams, and coordinate large-scale inspection programs We are committed to your success, and we invest in your growth and development to unlock your full potential. • Competitive Total Compensation Package, • Employee- Only Stock Purchase Plan, • Mentoring programs, • Continuing Education Program, • Employee referral bonus, • Volunteer/Industry association opportunities, • Opportunities to participate in professional associations and community impact initiatives, • A collaborative, inclusive culture that values diverse perspectives and fosters innovation Our Culture: We believe in the power of collaboration. We work hard to build a corporate culture that empowers all our employees to freely share their ideas, know their presence, and contributions are truly valued, fostering a climate where our employees are enabled to maximize their full potential. • We offer a comprehensive benefits package and a positive work environment, • Compensation: Minimum: $165,000 – Maximum: $185,000. The range provided is the salary that the Firm in good faith believes at the time of this posting is willing to pay for the advertised position. Exact compensation will be determined based on the individual candidate's qualifications and location. #ID22 #ZR22 PIb44f2e727ed5-25405-38335230

About Uphold Uphold is a financial technology company that believes on-chain services are the future of finance. It provides modern infrastructure for on-chain payments, banking, and investments. Offering Consumer Services, Business Services, and Institutional Trading, Uphold makes pioneering financial services easy and trusted for millions of customers in more than 140 countries. Uphold strips away the complexity and lack of transparency to open up Web3 finance for everyone. To learn more about Uphold, please visit ___. The Opportunity We're looking for an experienced Director, Backend Engineer to join our Digital Payments team and help shape the future of our financial platform. In this role, you'll take technical ownership of core backend services that connect Uphold with global bank networks (ACH, SEPA, FPS), card networks (Visa, MasterCard), modern payment methods (Apple Pay, Google Pay) and alternative payment methods. As a senior engineer, you'll drive the design of scalable, reliable, and secure systems, mentor junior engineers, and collaborate cross-functionally with Product, DevOps, Compliance, and other engineering teams to bring impactful features to life. This is a high-impact opportunity for a seasoned backend developer to play a pivotal role in building robust systems that move millions of dollars daily and redefine how users interact with their money. What you'll be doing • Lead the design, development, and maintenance of backend services and APIs that power Uphold's global payment infrastructure., • Architect scalable and resilient services with a strong emphasis on security, observability, and fault tolerance., • Deeply understand the business domain and proactively identify technical solutions to drive product strategy., • Contribute to the evolution of the team's software engineering practices and development lifecycle., • Guide the integration with external payment networks, banking partners, and service providers., • Own the full software development lifecycle (SDLC) from ideation to deployment and monitoring., • Actively mentor and support junior and mid-level engineers through code reviews, pair programming, and architectural discussions., • Participate in on-call rotations to support production systems as needed., • Collaborate closely with stakeholders to define technical requirements and translate them into reliable solutions. What we're looking for • Bachelor's or Master's Degree in Computer Science, Engineering, or equivalent practical experience., • 6+ years of experience in backend development with a strong track record of delivering production-grade systems., • Deep expertise in JavaScript/TypeScript, with proficiency in modern backend frameworks., • Strong knowledge of RESTful APIs, RPC protocols, and microservices architecture., • Experience with event-driven systems and message brokers like Kafka, RabbitMQ, Pulsar, or NSQ., • Advanced understanding of PostgreSQL or other relational databases and Redis., • Familiarity with cloud-native technologies, Docker, Kubernetes, and AWS-based deployment environments., • Commitment to security best practices, particularly for handling sensitive financial data., • Proven experience optimizing systems for performance, scalability, and observability., • Excellent communication skills and the ability to drive consensus in a cross-functional setting., • Passion for mentorship and fostering a collaborative engineering culture. Nice to haves • Experience in the Fintech or payments industry., • Knowledge of Temporal.io or similar orchestration frameworks for distributed workflows., • Familiarity with financial protocols, ISO 20022, or payment gateway integration., • Contributions to open source or internal developer tooling., • Experience implementing CI/CD pipelines in production environments., • Familiarity with SOC2, PCI-DSS, or other compliance requirements in regulated environments. Bonus if you have • Experience in developing APIs for other products you’ve worked on., • Developing software interacting with message queues (e.g. Kafka, NSQ, Pulsar or RabbitMQ)., • Experience in integrating APIs from other services providers., • Proven record of having worked with performance budgets., • Fluency in cryptocurrencies or other digital assets as they are core to our business., • Community talks, certifications, and/or blog posts on your interests and research., • Open source project contributions of any kind, such as tools developed to solve specific problems you’ve had or fixing issues on existing projects. Importantly, if you’re looking for a senior role with us, you will have achieved many of the things above while also providing mentorship to others, and have engaged in public speaking opportunities. What we have to offer you • An amazing work environment in a company that continues to grow, driven by extraordinary and passionate people that keep up innovating and challenging more each day., • An international team, in a cutting edge field, working on the most fascinating projects., • Growth and career opportunities, and the chance to be proactive and creative., • A flexible and enthusiastic work environment that offers you snacks, a lot of coffee and other great benefits., • Open and transparent culture - we get together on a weekly basis to share updates, strategic plans, and engage with each other informally over food and drinks., • Interesting events that keep you connected with the team and celebrate our success.Innovation and Impact: Contribute to pioneering projects in a dynamic and challenging environment., • Strong Company Culture: Thrive in a supportive, collegiate environment with values of integrity, teamwork, accountability, and excellence., • Global Collaboration: Participate in regular updates, strategy sessions, and networking opportunities across the group., • Development Opportunities: Access training and mentorship programs. Salary: $200K+ DOE, + Bonus + Benefits Be part of a great company that is revolutionizing financial services. Apply now! EEOC Employer We're proud to be an Equal Opportunity Employer and we celebrate our employees' differences, including race, color, religion, gender identity, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, and any other protected classes. Difference makes us stronger and better - together.

AI Engineer - Healthcare Automation Platform Well-Funded Startup | Healthcare AI | Hybrid (NYC preferred) or Remote About Us We're building an AI-powered automation platform that streamlines critical workflows in healthcare operations. Our system processes complex, unstructured data to ensure time-sensitive information gets where it needs to go-reducing delays and improving operational efficiency for healthcare providers. We're in production with paying enterprise customers and experiencing rapid growth. The Role We're looking for a high-agency AI Engineer to bridge the gap between cutting-edge ML research and real-world product delivery. You'll design and build agentic workflows that automate complex operational processes, combining LLMs, vision models, and structured automation to solve challenging infrastructure and workflow problems. This role involves creating pipelines, evaluation harnesses, and scalable production-grade agents. You'll research and implement the best-fit technology for each workflow, working across the full stack from data collection to orchestration to frontend integration. What You'll Build • Ship full-stack AI systems end-to-end-from prototype to production, • Build observability and debugging tools to capture model performance, user feedback, and edge cases, • Go from ideation to working code within hours; iterate rapidly on experiments and data, • Design agentic workflows powered by LLMs and vision models for document understanding, • Create evaluation frameworks to test AI system performance beyond raw model accuracy, • Work directly with cross-functional teams (ML, Sales, Customer Success) to build AI solutions for diverse use cases What We're Looking For • Full-stack engineering experience with web frameworks, backend systems, and cloud infrastructure, • Proven track record of building, testing, deploying, scaling, and monitoring LLM-centered software architectures, • Hands-on expertise with LLM APIs and production AI system deployment, • Understanding of how to evaluate AI systems holistically-beyond model accuracy alone, • Strong communication skills-ability to write clear technical documentation and explain complex systems, • Bonus: Experience in healthcare or working with unstructured documents Why Join Us? • Drive Impact: High-agency culture where you set the pace and see direct results, • Own Your Work: End-to-end ownership from research to production deployment, • Innovate with Purpose: Join a high-caliber team solving real problems at scale, • Competitive Package: $200K-$240K + equity + comprehensive benefits Desired Skills and Experience AI Engineer - Healthcare Automation Platform Well-Funded Startup | Healthcare AI | Hybrid (NYC preferred) or Remote About Us We're building an AI-powered automation platform that streamlines critical workflows in healthcare operations. Our system processes complex, unstructured data to ensure time-sensitive information gets where it needs to go-reducing delays and improving operational efficiency for healthcare providers. We're in production with paying enterprise customers and experiencing rapid growth. The Role We're looking for a high-agency AI Engineer to bridge the gap between cutting-edge ML research and real-world product delivery. You'll design and build agentic workflows that automate complex operational processes, combining LLMs, vision models, and structured automation to solve challenging infrastructure and workflow problems. This role involves creating pipelines, evaluation harnesses, and scalable production-grade agents. You'll research and implement the best-fit technology for each workflow, working across the full stack from data collection to orchestration to frontend integration. What You'll Build Ship full-stack AI systems end-to-end-from prototype to production Build observability and debugging tools to capture model performance, user feedback, and edge cases Go from ideation to working code within hours; iterate rapidly on experiments and data Design agentic workflows powered by LLMs and vision models for document understanding Create evaluation frameworks to test AI system performance beyond raw model accuracy Work directly with cross-functional teams (ML, Sales, Customer Success) to build AI solutions for diverse use cases What We're Looking For Full-stack engineering experience with web frameworks, backend systems, and cloud infrastructure Proven track record of building, testing, deploying, scaling, and monitoring LLM-centered software architectures Hands-on expertise with LLM APIs and production AI system deployment Understanding of how to evaluate AI systems holistically-beyond model accuracy alone Strong communication skills-ability to write clear technical documentation and explain complex systems Bonus: Experience in healthcare or working with unstructured documents Why Join Us? Drive Impact: High-agency culture where you set the pace and see direct results Own Your Work: End-to-end ownership from research to production deployment Innovate with Purpose: Join a high-caliber team solving real problems at scale Competitive Package: $200K-$240K + equity + comprehensive benefits Great Perks: Unlimited PTO, 100% paid health benefits, 401(k) match, catered lunch, snacks Location: NYC office 4 days/week preferred (Chelsea), remote considered for exceptional candidates Oscar Associates Limited (US) is acting as an Employment Agency in relation to this vacancy.

About Fusemachines Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, United States, Canada, and Dominican Republic and more than 400 full-time employees). Fusemachines seeks to bring its global expertise in AI to transform companies around the world. About the role: Location: Remote (Full-time) This is a full-time position responsible for designing, building, maintaining and optimizing the infrastructure required for data integration (batch and real-time), storage (including databases and data modeling), processing, and analytics (BI, visualization and Advanced Analytics) using Microsoft Azure in the Public Sector. The Solution Data Architect works closely with cross-functional teams supporting business objectives, and serves as a Azure Cloud solutions subject matter expert (SME) and collaborates with the Delivery team on solution design, and implementation. Qualifications & Experience • Bachelor’s degree in Computer Science, Information Systems, or a related field., • Minimum 5 years as a Data & Analytics Solution Architect with strong, hands-on experience in Microsoft Azure environments., • 5+ years working with Azure Cloud Platform and Azure DevOps, with exposure to other hyperscalers., • Proven experience delivering end-to-end data and analytics projects, including hands-on development as a Senior Data Engineer., • Deep and recent experience with Microsoft Fabric, Azure Databricks, Azure Functions, and PySpark for real-time, low-latency data pipeline design and implementation., • Expertise in data modeling, integration (ETL/ELT), warehousing, and BI, using services such as Data Factory, Data Lake, Stream Analytics, and Azure SQL Database., • Demonstrated ability to design and implement GraphQL and RESTful APIs within Azure ecosystems., • Preferred Certifications:, • Microsoft Certified: Azure Fundamentals, • Microsoft Certified: Azure Data Engineer Associate, • Microsoft Certified: Azure Solutions Architect Expert, • Deep experience designing and implementing end-to-end data and analytics solutions using Microsoft Azure services such as Microsoft Fabric, Azure Databricks, Azure Data Factory, Azure Data Lake, Azure Stream Analytics, Azure SQL Database, and Power BI., • Proven hands-on experience building and optimizing real-time, low-latency pipelines using PySpark, Azure Functions, Event Hubs, and Stream Analytics., • Strong understanding of CI/CD, Infrastructure as Code (Terraform or ARM templates), configuration management, automated testing, and cost optimization principles., • Expertise in data modeling, data integration (ETL/ELT), warehousing, BI, and advanced analytics (ML/AI) within Azure environments, ensuring scalable and resilient designs., • Proficiency in Python and SQL, with ability to diagnose performance issues, optimize pipelines, and ensure system reliability., • Experience designing data governance, cataloging, data quality, and lineage frameworks; implementing Azure security best practices (IAM, encryption, compliance); and managing monitoring tools such as Azure Monitor, Application Insights, or Datadog., • Familiarity with Kubernetes and Docker for scalable architecture, including design and configuration of containerized services., • Strong ability to work cross-functionally with architects, engineers, and data scientists, and to clearly document architecture and deployment configurations., • Committed to staying updated with emerging Azure technologies, AI/ML integrations, and data architecture best practices to drive innovation and efficiency Equal Opportunity Employer: Fusemachines is committed to fostering a diverse and inclusive workplace. We welcome applications from all qualified individuals regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, protected veteran status, or any other legally protected status. Important: Immigration Sponsorship Policy Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including: • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas., • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation., • Written Documentation: Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT).

Job Description Justification: This request is for a NG911 Subject Matter Expert (SME) needed to continue the project work for the Class 1/2/3 and Call Handling upgrades of the Next Generation 9-1-1 emergency call system and provide expertise and technical knowledge during the configuration, and test phases. NG911 - Integration Engineer • Assist with the integration and testing of systems & subsystems., • Manage and coordinate integration efforts between Public Safety IT subsystems and the NG9-1-1 system., • Lead technical discussions in integration planning and manage the associated action items stemming there from., • Assist in the coordination with project leads and subcontractors to continue review of all required interfaces with the NG9-1-1 system., • Provide test cases for SAT and SIT; continue to identify risks associated with integration activities on the NG9-1-1 program, as well as assist the SDE team, project leads, and subcontractors in setting up and testing the interfaces in the SDE., • Verify all interfaces in the production environment and subsequently augment the test team to perform all end-to-end System Integration testing. MANDATORY SKILLS/EXPERIENCE Note: Candidates who do not have the mandatory skills will not be considered + MINIMUM 12 YEARS EXPERIENCE: • Strong understanding of OSI Layer 1–7 concepts, especially Layer 3 routing and Layer 4–7 service delivery., • Experience integrating systems across multi-vendor environments (e.g., MSCI, NICE, Motorola, Cisco, Fortinet, F5)., • Knowledge of NG911 Core Services (NGCS) integration points, including ESRP, ECRF/LVF, and CHS components., • Strong diagnostic skills using tools like Wireshark, packet captures, syslogs, and SNMP traps for end-to- end troubleshooting., • Familiarity with call flow validation, routing scenario testing, and production cutover support., • Understanding of NIST 800-53, CJIS, and OTI Cyber Command cybersecurity frameworks., • Experience implementing secure connectivity using IPsec VPNs, SSL/TLS encryption, and role-based access controls (RBAC)., • Knowledge of network segmentation, firewall rule management, and intrusion detection/prevention systems., • Minimum 7 years of experience in a particular technical and/or business application, product, platform, methodology. DESIRABLE SKILLS/EXPERIENCE: • Familiarity with Public Safety Answering Center (PSAC) infrastructure and redundancy models., • Understanding of incident escalation, disaster recovery, and business continuity procedures., • In-depth understanding of NENA i3 architecture and its components., • Knowledge of ESRP, LIS, LoST, ECRF/LVF, and SIPREC standards for multimedia call processing., • Experience working with PSAPs, CAD systems, logging, and GIS components within a 911 environment.

Job title: Lead Software Engineer Duration: Fulltime/Contract to Hire Location: New York, NY (Hybrid) Role description: The successful candidate will be a key member of the HR Technology team, responsible for developing and maintaining global HR applications with a primary focus on HR Analytics ecosystem. This role combines technical expertise with HR domain knowledge to deliver robust data solutions that enable advanced analytics and data science initiatives. Key Responsibilities: • Manage and support HR business applications, including problem resolution and issue ownership, • Design and develop ETL/ELT layer for HR data integration and ensure data quality and consistency, • Provide architecture solutions for Data Modeling, Data Warehousing, and Data Governance, • Develop and maintain data ingestion processes using Informatica, Python, and related technologies, • Support data analytics and data science initiatives with optimized data structures and AI/ML tools, • Manage vendor products and their integrations with internal/external applications, • Gather requirements and translate functional needs into technical specifications, • Perform QA testing and impact analysis across the BI ecosystem, • Maintain system documentation and knowledge repositories, • Provide technical guidance and manage stakeholder communications Required Skills & Experience: • Bachelor's degree in computer science or engineering with 4+ years of delivery and maintenance work experience in the Data and Analytics space., • Strong hands-on experience with data management, data warehouse/data lake design, data modeling, ETL Tools, advanced SQL and Python programming., • Exposure to AI & ML technologies and experience tuning models and building LLM integrations., • Experience conducting Exploratory Data Analysis (EDA) to identify trends and patterns, report key metrics., • Extensive database development experience in MS SQL Server/ Oracle and SQL scripting., • Demonstrable working knowledge of tools in CI/CD pipeline primarily GitLab and Jenkins, • Proficiency in using collaboration tools like Confluence, SharePoint, JIRA, • Analytical skills to model business functions, processes and dataflow within or between systems., • Strong problem-solving skills to debug complex, time-critical production incidents., • Good interpersonal skills to engage with senior stakeholders in functional business units and IT teams., • Experience with Cloud Data Lake technologies such as Snowflake and knowledge of HR data model would be a plus.

Job Title : Senior End User Computing Engineer (Mac) Location : New York, NY 10112 (Onsite - 4 days/week in office commitment) Duration : 12+ Months About the role: The Enterprise Endpoint Engineering team is seeking a highly skilled Mac Engineer with deep MDM expertise (Jamf Pro and Microsoft Intune), Apple Business Manager experience, software troubleshooting skills, some development experience, and strong systems administration skills. The ideal candidate will be responsible for designing and implementing Mac lifecycle management, enforcing security policies, and ensuring seamless integration with enterprise tools while optimizing user experience. Our Mac Engineers are addressing gaps and continually improving engineering services and the delivery of devices. They automate away manual processes to increase reliability and reduce operational costs. They will track down defects and come up with innovative solutions to improve reliability and availability. Responsibilities: • Architect, deploy, and manage macOS device management solutions using Jamf Pro and Microsoft Intune., • Own the lifecycle management of macOS devices including provisioning, configuration, patching, and decommissioning., • Develop and maintain automation scripts and policies to streamline device onboarding, updates, and compliance enforcement., • Partner with security and compliance teams to enforce security baselines and implement best practices for endpoint protection., • Lead troubleshooting efforts related to macOS hardware, software, and integration with enterprise tools., • Provide mentorship and technical guidance to junior engineers and IT support teams., • Monitor system performance, create documentation, and generate reports on compliance and inventory., • Stay current with macOS updates, Apple enterprise technologies, and endpoint management trends., • Assist with architecture design, implementation, and documenting processes & procedures required for projects and services related to macOS device management solutions, • Implement new systems, upgrades, and modifications (including planning, testing, coordinating, and scheduling), • Monitor the production environment and ensure speedy resolution of issues, taking ownership of problem management activities, • Provide Tier 3 escalation support for escalated macOS-related incidents and troubleshooting, • Address gaps and continually improve engineering services and delivery of devices, • Ensure support documentation is produced, maintained and improved, • Automate manual processes to increase reliability and reduce operational costs, • Package, deploy, and manage software and updates, • Interface, collaborate, and coordinate efforts with vendors and other departments in the company inclusive of InfoSec and IT Operations, • Participate in audits and compliance activities by providing documentation and reports as needed, • Keep up to date with the latest macOS features, MDM capabilities, and enterprise endpoint management best practices Basic requirements: • 5+ years of experience in macOS end user computer engineering and administration in a large-scale enterprise environment (10K+ users), • Expert-level experience with Jamf Pro (Policies, Smart Groups, Configuration Profiles, Scripts). Qualified candidates must meet minimum certification requirements and have attained either of these certificates: Minimum: Jamf 200 / Preferred: Jamf 300, • Qualified candidates must have experience with Apple Business Manager (ABM) and Automated Device Enrollment (ADE), • In-depth knowledge of macOS, iOS, and tvOS and should also be comfortable using the latest MDM practices, Zero Touch Deployment methods, automation practices and procedures, data integrity, and analytical reporting experience, • Proficient in scripting languages such as Bash, Python, AppleScript, Perl or zsh for automation and custom workflows, • Strong knowledge of macOS internals, security frameworks, and MDM protocols, • Strong business acuity, including understanding and practical application of relevant market/industry trends, • Excellent troubleshooting, documentation, and written/verbal communication skills, • Ability to thrive in an ambiguous and fast-paced environment and to manage multiple simultaneous projects requiring strong communication, organization, time management, and problem-solving skills Preferred qualifications: • Hands-on experience configuring and managing Microsoft Intune for macOS, • Experience with identity and access management systems (Active Directory, Entra AD, PingFederate, etc.), • Familiarity with CIS benchmarks and compliance frameworks like ISO, SOC2, or SOX, • Experience with endpoint detection & response (EDR) tools such as CrowdStrike, • Knowledge of networking fundamentals including TCP/IP, DNS, firewalls, and routing protocols

STAND 8 provides end to end IT solutions to enterprise partners across the United States and with offices in Los Angeles, New York, New Jersey, Atlanta, and more including internationally in Mexico and India The Enterprise Endpoint Engineering team is seeking a highly skilled Mac Engineer with deep expertise in MDM platforms (Jamf Pro and Microsoft Intune), strong systems administration capabilities, Apple Business Manager experience, and advanced troubleshooting skills. This engineer will design and implement macOS lifecycle management solutions, enforce security standards, and ensure smooth integration with enterprise systems while optimizing the end-user experience. Our Mac Engineers play a critical role in closing service gaps, innovating device delivery processes, and automating manual workflows to increase reliability and reduce operational overhead. This role requires a highly analytical, proactive professional capable of diagnosing complex issues and delivering robust solutions. RESPONSABILITIES • macOS Engineering & Device Management, • Architect, deploy, and manage macOS device management solutions using Jamf Pro and Microsoft Intune., • Own full macOS lifecycle management: provisioning, configuration, patching, monitoring, and decommissioning., • Develop and maintain automation scripts and policies to streamline onboarding, updates, and compliance enforcement., • Package, deploy, and manage software and system updates across the enterprise., • Security & Compliance, • Partner with security teams to enforce security baselines, configuration standards, and best practices., • Participate in audits by providing documentation, reporting, and compliance support., • Troubleshooting & Operations, • Lead troubleshooting for macOS hardware, software, and enterprise tool integrations., • Provide Tier 3 escalation support for macOS-related incidents., • Monitor the production environment and ensure timely resolution of issues while owning problem-management responsibilities., • Technical Leadership & Collaboration, • Provide mentorship and technical guidance to junior engineers and IT support teams., • Document processes, systems, runbooks, and engineering procedures., • Collaborate with InfoSec, IT Operations, vendors, and cross-functional teams to support and improve enterprise endpoint solutions., • Continuous Improvement & Innovation, • Automate manual processes to improve reliability and reduce operational cost., • Stay current with macOS updates, MDM capabilities, and enterprise endpoint management best practices., • 5+ years of experience in macOS engineering and administration in a large-scale enterprise environment (10,000+ users)., • Expert-level experience with Jamf Pro (Policies, Smart Groups, Configuration Profiles, Scripts)., • Minimum certification: Jamf 200, • Preferred certification: Jamf 300, • Demonstrated experience with Apple Business Manager (ABM) and Automated Device Enrollment (ADE)., • Strong knowledge of macOS, iOS, tvOS, MDM practices, zero-touch deployment, automation workflows, and reporting., • Proficiency with scripting languages (Bash, Python, AppleScript, Perl, or zsh)., • Deep understanding of macOS internals, security frameworks, and MDM protocols., • Excellent troubleshooting abilities and strong documentation and communication skills., • Hands-on experience managing macOS devices via Microsoft Intune., • Experience with identity and access management tools (Active Directory, Entra AD, PingFederate, etc.)., • Familiarity with CIS benchmarks and compliance frameworks (ISO, SOC2, SOX)., • Experience with EDR tools such as CrowdStrike., • Medical coverage and Health Savings Account (HSA) through Anthem, • Dental/Vision/Various Ancillary coverages through Unum, • 401(k) retirement savings plan, • Paid-time-off options, • Company-paid Employee Assistance Program (EAP)

About Ascendion Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next. Ascendion | Engineering to elevate life We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us: • Build the coolest tech for the world’s leading brands, • Solve complex problems – and learn new skills, • Experience the power of transforming digital engineering for Fortune 500 clients, • Master your craft with leading training programs and hands-on experience Experience a community of change-makers! Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion. About the Role: Job Title: Java Architect Job Description: We are looking for a Java Architect with hands-on experience in team leading, Java, Spring, React or Angular, AWS, hands-on coding development is required. Key Responsibilities: • Partner with technical teams and business stakeholders to propose technical solutions that align with current and future business needs., • Define the technical target state for the product and drive initiatives to achieve the long-term strategy., • Participate in architecture governance forums and contribute to key architectural decisions., • Evaluate technology recommendations and provide insights on emerging tools, frameworks, and best practices., • Design and implement creative and scalable software solutions, demonstrating the ability to think beyond conventional approaches to solve complex problems., • Develop high-quality, secure production-ready code and review/debug code written by peers., • Identify opportunities to automate or eliminate recurring issues to enhance the stability and performance of applications and systems., • Lead technical evaluation sessions with external vendors, startups, and internal teams to assess architectural design, technical capabilities, and suitability for integration into existing systems. Required Skills: • Strong hands-on experience in system design, application development, testing, and ensuring operational stability., • Advanced expertise in one or more programming languages (Java required; additional languages a plus)., • Proficiency in automation and continuous delivery (CI/CD) practices., • Deep understanding of all phases of the Software Development Life Cycle (SDLC)., • Strong knowledge of agile methodologies, including CI/CD pipelines, application resiliency, and security best practices., • Demonstrated technical proficiency in software applications and technologies within disciplines such as cloud, AI/ML, or mobile., • Solid understanding of financial services industry systems and architecture., • Practical experience designing and developing cloud-native applications., • Advanced knowledge of software engineering, application frameworks, and architectural patterns. Location: New York, NY Salary Range: The salary for this position is between $140K – $160K annually. Factors that may affect pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate. Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance] [dental insurance] [vision insurance] [401(k) retirement plan] [long-term disability insurance] [short-term disability insurance] [5 personal days accrued each calendar year. The Paid time off benefits meet the paid sick and safe time laws that pertain to the City/ State] [10-15 days of paid vacation time] [6 paid holidays and 1 floating holiday per calendar year] [Ascendion Learning Management System] Want to change the world? Let us know. • Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let’s talk!

The Mainframe MQ/IIB Systems Engineer is responsible for the design, implementation, administration, and support of IBM MQ and IBM Integration Bus (IIB) in a z/OS environment. This role ensures reliable messaging integration across multiple enterprise applications and platforms while contributing to system upgrades, maintenance, and performance optimization. Key Responsibilities • Design, configure, and support IBM MQ and IIB environments, including integration and implementation activities., • Perform MQ and IIB systems programming on z/OS, including installation, maintenance, patching, and version upgrades., • Provide MQ administration support to multiple application teams., • Manage Queue Managers, queues, channels, clusters, and Queue Sharing Groups to support high availability, load balancing, and failover., • Plan, test, and execute MQ version upgrades and ongoing maintenance., • Deliver technical expertise throughout the software lifecycle—design through deployment., • Collaborate closely with infrastructure, application, and security teams., • Apply knowledge of cloud, virtualization, APIs, and modern integration practices., • Develop or script using one or more languages such as Python, Java, Go, JCL, REXX, PERL, PHP, JYTHON, J2EE, JDBC, Servlets, Ansible, etc., • Utilize Agile / Lean methodologies in day-to-day work., • In-depth experience with IBM MQ and IBM Integration Bus (IIB) architecture, configuration, and operations., • Hands-on systems programming experience in zSeries / z/OS., • Working knowledge of RACF or ACF2 security models., • Familiarity with SYSPLEX architecture and high-availability concepts., • Strong analytical and problem-solving skills with clear, effective communication., • Proven ability to work collaboratively in a team-oriented environment.

Job Title: Lead Software Engineer Location: NY (3 – 4 days hybrid) Duration: 6-12 Months • We’re looking for a hands-on Tech Lead to guide the technical delivery of a strategic internal application for one of the world’s top private equity firms. The project involves rapid design-build sprints to deliver modular dashboards and workflows that scale across asset classes., • You’ll lead a globally distributed engineering team, working closely with product managers, designers, and client stakeholders. This is a hybrid role based in New York, with partial on-site presence., • You’ll be responsible for both execution and technical oversight — helping shape a scalable frontend component architecture, and integrating with serverless backend services (AWS Lambda, Fargate). Your Responsibilities: • Lead the design and implementation of micro-apps using React, backed by Node.js/Python services, • Architect and own backend logic using serverless functions (Lambda) and containerized services (Fargate), • Partner with Product and Design to translate business needs into scalable, high-quality software, • Establish and enforce code quality, testing, and deployment standards, • Guide a distributed engineering team, reviewing code and supporting onboarding of new devs, • Identify reusable frontend/backend components and help establish a design-build library, • Maintain high development velocity while ensuring robust infrastructure integration, • Act as the technical point of contact for client engineering teams What We’re Looking For: • 6+ years of fullstack development experience (React, Node.js and/or Python), • Experience leading technical delivery across distributed product teams, • Strong knowledge of AWS serverless architecture: Lambda, Fargate, API Gateway, • Familiar with containerized development, CI/CD pipelines, and platform-level routing, • Skilled in translating technical complexity into clear direction and action, • Comfortable working in a hybrid on-site/remote setting with executive stakeholders, • Background in enterprise, SaaS, or financial tools, • Experience setting up design systems or component libraries, • Familiarity with Kubernetes, SSO, JWT authentication, and platform authorization patterns

Title : Senior Windows Engineer/Architect Location : Jersey City NJ(onsite) Role Overview We are seeking a Senior Windows Server DevOps Engineer to lead the design, automation, and modernization of our global infrastructure. This role is ideal for a hands-on engineer with deep expertise in Windows Server technologies, Active Directory, and infrastructure automation. You will play a key role in shaping our infrastructure strategy, driving DevOps practices, and enabling scalable, secure, and efficient server deployments across on-premises and cloud environments. Key Responsibilities Infrastructure Architecture & Engineering • Lead the Windows Server platform strategy, ensuring alignment with enterprise architecture and security standards., • Design and implement scalable, secure Active Directory and DNS/DHCP solutions., • Develop and enforce infrastructure design standards, automation frameworks, and configuration baselines., • Build and maintain automated server provisioning pipelines using tools like PowerShell, Packer, and MDT., • Drive adoption of Infrastructure as Code (IaC) and DevOps practices across the Windows platform., • Lead capacity planning, performance tuning, and proactive monitoring initiatives., • Evaluate and integrate new tools and technologies to enhance platform capabilities., • Partner with application teams to ensure infrastructure solutions meet business needs., • Mentor junior engineers and contribute to knowledge sharing across global teams., • 8+ years of experience in Windows Server engineering and architecture., • 8+ years of hands-on experience with Active Directory in multi-site/multi-domain environments., • Strong PowerShell scripting and automation skills., • Experience with System Center (SCCM, SCOM), MDT, and Orchestrator., • Deep knowledge of DNS/DHCP/IPAM (Infoblox, Microsoft, or similar)., • Experience with AD Certificate Services, ADFS, AD RMS, and identity management., • Familiarity with hybrid cloud environments (AWS, Azure), virtualization (VMware, Cisco UCS) and physical servers., • Experience with Packer, Varonis, and Quest AD tools., • Working knowledge of networking fundamentals (routing, switching, firewalls)., • Exposure to Linux systems for identity integration., • Microsoft certifications (MCSE, MCM, MCA) preferred., • Bachelor’s degree in computer science or related field. Thanks & Regards Akash Verma Raas Infotek Corporation. 262 Chapman Road, Suite 105A, Newark, DE -19702 E-Mail: Linkedin: ___

Job Title – Senior Salesforce Developer Engineer Location – New York, NY (Hybrid – Tues/Wed/Thurs in office) Duration – 6+ Months (Possibility of extension and conversion) Job Description: As part of Technology, you'll have the opportunity to contribute to groundbreaking initiatives that shape Client's digital landscape. Leverage cutting-edge technologies like Generative AI to increase productivity, streamline processes, and create seamless experiences for clients, agents, and employees. Your expertise fuels innovation, agility, and growth — driving the company's success. Role Overview: As a Senior Salesforce Developer Engineer (PF4), you will serve as a technical lead, driving the design, development, and implementation of complex Salesforce solutions that advance Client’s strategic technology initiatives. You will collaborate closely with architects, business partners, and data teams to deliver secure, scalable, and high-performing applications across a shared Salesforce platform supporting multiple lines of business. This role also involves integrating Salesforce with AWS services and other enterprise systems to enable data-driven decision-making and intelligent automation. What You’ll Do: • Lead the design, development, and deployment of scalable Salesforce solutions using Apex, Lightning Web Components (LWC), and integration APIs., • Partner with business stakeholders, solution architects, and engineering teams to translate requirements into robust, extensible technical designs., • Implement Salesforce integrations with AWS services such as Lambda, S3, and API Gateway, ensuring secure and performant data exchange., • Collaborate with UX and front-end teams to deliver modern, responsive user experiences using React.js, TypeScript, and Figma., • Design and implement event-driven architectures using Platform Events, Change Data Capture (CDC), and asynchronous Apex to support scalable, loosely coupled integrations., • Oversee code reviews, enforce development standards, and drive continuous improvement through CI/CD pipelines, automation, and DevOps practices., • Troubleshoot and optimize performance across environments, ensuring reliability, maintainability, and compliance with enterprise security standards., • Evaluate and integrate npm packages and open-source libraries to enhance component functionality and maintain consistency across applications., • Contribute to Salesforce platform modernization by leveraging AWS DevOps tools, automation frameworks, and reusable architecture components., • Stay current on emerging technologies, including Salesforce AI (Einstein, GPT-based assistants) and MuleSoft, to evolve integration and automation capabilities. What You’ll Bring: • 7–10 years of proven expertise in leading new Salesforce implementations, guiding a team of developers through end-to-end solution design, development, and deployment., • Proven expertise in Apex, LWC, and Flow Builder, blending custom development with Salesforce’s out-of-the-box capabilities to create scalable and maintainable solutions., • Strong hands-on experience in Salesforce event-driven architecture, including Platform Events, CDC, and pub/sub patterns for real-time, asynchronous communication., • Deep understanding of Salesforce data architecture, security model, and multi-org governance in a shared platform environment supporting multiple lines of business., • Proven ability to design and implement secure integrations using Salesforce APIs, MuleSoft, and AWS services (Lambda, S3, API Gateway)., • Strong background in JavaScript, React.js, and TypeScript, applying component-based principles and UI best practices across Salesforce and standalone apps., • Demonstrated experience collaborating with data teams to analyze, troubleshoot, and resolve complex data quality and integration issues across systems., • Experience translating Figma mockups into responsive, accessible, and reusable LWC and React components., • Proficiency with CI/CD pipelines, GitHub, and Jenkins, enabling automated deployments and version control., • In-depth knowledge of authentication and authorization mechanisms including OAuth 2.0, JWT, and Named Credentials., • Excellent analytical, communication, and stakeholder management skills, with a focus on cross-functional collaboration and technical excellence. Must-Have Skills & Experience: • 7–10 years of senior-level Salesforce development experience., • Expertise in Apex, LWC, Flow Builder, and Salesforce event-driven architecture., • Strong integration experience with Salesforce APIs, MuleSoft, and AWS services., • Proficiency in JavaScript, React.js, and TypeScript., • Experience with CI/CD pipelines (GitHub, Jenkins) and DevOps practices., • Excellent communication skills for collaboration with offshore teams and SCRUM leadership., • Ability to adapt and learn new technologies beyond Salesforce. Preferred Skills: • Preferred Certifications: Application Architect/System Architect., • Experience with AWS infrastructure tools & practices., • Familiarity with event-driven architectures and data streaming frameworks (e.g., Kafka, Event Bus). Skills & Certifications: • Bachelor’s degree in Computer Science, Software Engineering, or related field., • Salesforce Certifications:, • Salesforce Platform Developer I, • Salesforce Platform Developer II, • Salesforce JavaScript Developer I, • Salesforce Certified Sales Cloud Consultant, • Salesforce Certified Application Architect, • Salesforce Certified Platform Integration Architect, • Salesforce Certified Administrator, • Working knowledge of DevOps pipelines (GitHub Actions, Jenkins).

About the Team The DevOps team is responsible for supporting the development teams and interfacing with the infrastructure teams. As a DevOps engineer, you’ll have the exciting opportunity to work in a fast-paced, entrepreneurial environment. What You’ll Do • Drive the design, engineering, integration, and enhancements of DevOps enablement tools and applications by utilizing Site Reliability and DevOps principles suited for an on-prem environment, • Follow software development processes and practices (Functional Specification and Testing, Design Specifications, Code Reviews, Unit Testing, Monitoring), • Document and maintain processes and procedures, • Implement and support established Continuous Integration / Continuous Delivery (CI/CD) practices, • Mentor and train the Technology team on tools that increase the use of automation and improve stability, advocating solutions, • Evaluate new technologies and explore their applicability to address new requirements in our environment Skills and Experience • Bachelor’s Degree in computer science, software engineering or related field, • 3+ years of total IT experience, • 3+ years of development experience in either Python, C#, Java, • Experience building, deploying and maintaining container images (e.g., Docker, Kubernetes), • Experience with one or more configuration management tools (e.g., Ansible, Terraform, Git, Bash), • Experience with system administration, such as provisioning and managing servers, deploying database, security monitoring, system patching and managing internal and experience network connectivity What does it take to be successful in this role? • Excellent problem-solving skills, soft skills, quality, and delivery mindset, • Strong communicator and collaborator, • Ability to thrive in a fast paced, start-up environment with individuals in dispersed locations, • Self-starter, results driven individual with a proven track record, • Experience with trading strategies for securities, options, crypto and trading platforms, • Experience with big data and distributed systems (e.g., Kafka, Cassandra)

We are seeking a hands-on Principal Engineer to lead the architecture and prototype development of a new Cash Management Account capability within the Wealth Management & Private Banking division. The role focuses on creating an integrated, seamless client experience between brokerage investment accounts and core banking deposit platforms. This is a greenfield initiative at prototype stage, requiring a leader who combines deep financial product knowledge with strong architectural and full-stack engineering capabilities. The selected individual will define and drive the technical approach end-to-end—from concept through early build—working closely with wealth, brokerage, architecture, and operations teams. Key Responsibilities Lead design and technical delivery of the new Cash Management Account capability—defining architecture, data flows, and integration approach end-to-end. Build an early prototype/MVP to demonstrate feasibility and influence program funding. Define and implement the integration layer between: Brokerage platforms Core banking deposit systems (FIS EBS) Wealth digital channels and assisted servicing platforms Payments / Transfer Hub domain services Design and guide development of the Sweep Engine (logic for sweeping cash between investment and deposit accounts based on client rules and preferences). Implement secure, scalable, modern service architecture aligned with enterprise standards (APIs, domain services, events, etc.). Collaborate with product, operations, wealth business stakeholders, and solution architects to align requirements and experience flow. Mentor, guide, and (optionally) coordinate a small supporting full-stack engineering team. Required Experience & Skills Domain Expertise Direct experience designing or working with brokerage cash management products, sweep programs, or integrated investment/banking experiences. Strong understanding of wealth client operations, investment accounts, positions, funding flows, and deposit account servicing. Familiarity with U.S. cash sweep structures, FDIC insurance strategies, cash allocation rules, and brokerage-bank integration models. Technical Leadership 10+ years engineering experience with 3+ in principal / lead engineer capacity. Ability to drive solution design from scratch (architecture, modeling, interfaces, data contracts). Demonstrated success building prototypes and early-stage products in large organizations. Technology Skills Strong hands-on programming in Java or Python, with experience in modern microservices architecture. Experience building API-driven and event-driven distributed systems. Understanding Angular UI integration is beneficial. Experience integrating with: Core banking systems (e.g., FIS EBS, Finastra, Temenos, Flexcube, etc.) Brokerage / wealth platforms Payment hubs, domain services, workflow engines (PEGA optional) Preferred Background Experience working in Wealth Management or Private Banking divisions Experience building cash sweep / liquidity / treasury funding features. Previous contribution to new product incubation or architecture modernization programs.

Application Developer – Enterprise Document Automation (EDA) *3rd Parties — Do Not Contact New York City Department of Social Services (DSS) 📍 Brooklyn, NY | Hybrid | Contract (GSA MAS IT Solutions) About DSS The New York City Department of Social Services (DSS) delivers essential programs that help millions of New Yorkers access food, housing, employment, and healthcare. Behind the scenes, DSS’s Information Technology Services (ITS) division powers this mission — designing and maintaining the critical systems that enable efficient, secure, and equitable service delivery citywide. As part of a large-scale modernization effort, DSS is seeking an Application Developer to contribute to the Enterprise Document Automation (EDA) project — a key initiative upgrading DSS’s enterprise document management and communication systems. The Role As an Application Developer, you’ll design, build, and maintain solutions that power the automated generation and distribution of client-facing forms, notices, and communications across DSS programs. Your work will directly support compliance with Local Law 30 (LL30), ensuring that all communications are accessible and available in multiple languages. You’ll collaborate with project managers, analysts, and engineers to build scalable, secure, and efficient solutions that modernize DSS’s digital ecosystem. What You’ll Do • Design and develop technical solutions and architecture to support form and notice generation, • Build scripts and configurations for automated template and snippet creation using modern programming languages and frameworks, • Develop database scripts for snippet storage and metadata management, • Create user interfaces (front-end screens) to capture, validate, and transmit data to the EDA application, • Write software programs and integration code compatible with existing APIs, web services, and backend systems, • Conduct unit testing and validation to ensure code accuracy and quality before deployment, • Prepare design documentation, system specifications, and deployment guides, • Contribute to the design and maintenance of secure, scalable software configurations including database, network, and storage layers What We’re Looking For • 5+ years of experience as an Application Developer, Software Engineer, or similar role, • Proficiency in one or more modern programming languages (e.g., Java, .NET, C#, Python, JavaScript), • Experience developing web applications, APIs, and database-driven systems, • Understanding of system architecture, solution design, and security best practices, • Familiarity with document automation or enterprise content management systems (IBM FileNet, OpenText, etc.), • Strong knowledge of SQL, database design, and data modeling, • Experience with front-end development (HTML, CSS, JavaScript frameworks) preferred, • Ability to work collaboratively across technical and business teams, • Experience with Agile or Waterfall SDLC methodologies, • Prior experience in government or large enterprise IT environments a plus Why Join DSS • Impact: Build solutions that improve access to essential services for millions of New Yorkers, • Innovation: Work with modern technologies on a mission-critical automation project, • Collaboration: Partner with experienced IT leaders, engineers, and analysts, • Growth: Expand your expertise in enterprise-scale software development and document automation Details 📍Location: Brooklyn, NY (with potential hybrid flexibility) 🕓 Type: Contract | GSA MAS IT Solutions | Full-time Eligibility: Must be legally authorized to work in the U.S. Apply Now If you’re a skilled developer who wants to build impactful, enterprise-grade systems that help millions of New Yorkers, we’d love to hear from you. 👉 Apply today with your resume and a brief note about your experience with application development, APIs, or document automation systems.

Job Title : Senior End User Computing Engineer (Mac) Work Location : New York, NY 10112 (4 days office) Duration : 12+ Months About the role: The Enterprise Endpoint Engineering team is seeking a highly skilled Mac Engineer with deep MDM expertise (Jamf Pro and Microsoft Intune), Apple Business Manager experience, software troubleshooting skills, some development experience, and strong systems administration skills. The ideal candidate will be responsible for designing and implementing Mac lifecycle management, enforcing security policies, and ensuring seamless integration with enterprise tools while optimizing user experience. Our Mac Engineers are addressing gaps and continually improving engineering services and the delivery of devices. They automate away manual processes to increase reliability and reduce operational costs. They will track down defects and come up with innovative solutions to improve reliability and availability. Responsibilities: • Architect, deploy, and manage macOS device management solutions using Jamf Pro and Microsoft Intune., • Own the lifecycle management of macOS devices including provisioning, configuration, patching, and decommissioning., • Develop and maintain automation scripts and policies to streamline device onboarding, updates, and compliance enforcement., • Partner with security and compliance teams to enforce security baselines and implement best practices for endpoint protection., • Lead troubleshooting efforts related to macOS hardware, software, and integration with enterprise tools., • Provide mentorship and technical guidance to junior engineers and IT support teams., • Monitor system performance, create documentation, and generate reports on compliance and inventory., • Stay current with macOS updates, Apple enterprise technologies, and endpoint management trends., • Assist with architecture design, implementation, and documenting processes & procedures required for projects and services related to macOS device management solutions, • Implement new systems, upgrades, and modifications (including planning, testing, coordinating, and scheduling), • Monitor the production environment and ensure speedy resolution of issues, taking ownership of problem management activities, • Provide Tier 3 escalation support for escalated macOS-related incidents and troubleshooting, • Address gaps and continually improve engineering services and delivery of devices, • Ensure support documentation is produced, maintained and improved, • Automate manual processes to increase reliability and reduce operational costs, • Package, deploy, and manage software and updates, • Interface, collaborate, and coordinate efforts with vendors and other departments in the company inclusive of InfoSec and IT Operations, • Participate in audits and compliance activities by providing documentation and reports as needed, • Keep up to date with the latest macOS features, MDM capabilities, and enterprise endpoint management best practices BASIC REQUIREMENTS: • 5+ years of experience in macOS end user computer engineering and administration in a large-scale enterprise environment (10K+ users), • Expert-level experience with Jamf Pro (Policies, Smart Groups, Configuration Profiles, Scripts). Qualified candidates must meet minimum certification requirements and have attained either of these certificates:, • Minimum: Jamf 200, • Preferred: Jamf 300, • Qualified candidates must have experience with Apple Business Manager (ABM) and Automated Device Enrollment (ADE), • In-depth knowledge of macOS, iOS, and tvOS and should also be comfortable using the latest MDM practices, Zero Touch Deployment methods, automation practices and procedures, data integrity, and analytical reporting experience, • Proficient in scripting languages such as Bash, Python, AppleScript, Perl or zsh for automation and custom workflows, • Strong knowledge of macOS internals, security frameworks, and MDM protocols, • Strong business acuity, including understanding and practical application of relevant market/industry trends, • Excellent troubleshooting, documentation, and written/verbal communication skills, • Ability to thrive in an ambiguous and fast-paced environment and to manage multiple simultaneous projects requiring strong communication, organization, time management, and problem-solving skills Preferred Qualifications: • Hands-on experience configuring and managing Microsoft Intune for macOS, • Experience with identity and access management systems (Active Directory, Entra AD, PingFederate, etc.), • Familiarity with CIS benchmarks and compliance frameworks like ISO, SOC2, or SOX, • Experience with endpoint detection & response (EDR) tools such as CrowdStrike, • Knowledge of networking fundamentals including TCP/IP, DNS, firewalls, and routing protocols

Sr. Data Engineer (MDM experience is MUST) Iselin, NJ Need local candidates only In-Person interview will be required. Recent 3-5 years of banking domain experience required. ***No vendor resumes please Job Description: Job Summary: • We are seeking a highly skilled and experienced Senior Data Engineer specializing in Master Data Management (MDM) to join our data team., • The ideal candidate will have a strong background in designing, implementing, and managing end-to-end MDM solutions, preferably within the financial sector., • You will be responsible for architecting robust data platforms, evaluating MDM tools, and aligning data strategies to meet business needs. Key Responsibilities: • Lead the design, development, and deployment of comprehensive MDM solutions across the organization, with an emphasis on financial data domains., • Demonstrate extensive experience with multiple MDM implementations, including platform selection, comparison, and optimization., • Architect and present end-to-end MDM architectures, ensuring scalability, data quality, and governance standards are met., • Evaluate various MDM platforms (e.g., Informatica, Reltio, Talend, IBM MDM, etc.) and provide objective recommendations aligned with business requirements., • Collaborate with business stakeholders to understand reference data sources and develop strategies for managing reference and master data effectively., • Implement data integration pipelines leveraging modern data engineering tools and practices., • Develop, automate, and maintain data workflows using Python, Airflow, or Astronomer., • Build and optimize data processing solutions using Kafka, Databricks, Snowflake, Azure Data Factory (ADF), and related technologies., • Design microservices, especially utilizing GraphQL, to enable flexible and scalable data services., • Ensure compliance with data governance, data privacy, and security standards., • Support CI/CD pipelines for continuous integration and deployment of data solutions. Required Qualifications: • 12+ years of experience in data engineering, with a proven track record of MDM implementations, preferably in the financial services industry., • Extensive hands-on experience designing and deploying MDM solutions and comparing MDM platform options., • Strong functional knowledge of reference data sources and domain-specific data standards., • Expertise in Python, Pyspark, Kafka, microservices architecture (particularly GraphQL), Databricks, Snowflake, Azure Data Factory, SQL, and orchestration tools such as Airflow or Astronomer., • Familiarity with CI/CD practices, tools, and automation pipelines., • Ability to work collaboratively across teams to deliver complex data solutions., • Experience with financial systems (capital markets, credit risk, and regulatory compliance applications). Preferred Qualifications: • Familiarity with financial data models and regulatory requirements., • Experience with Azure cloud platforms, • Knowledge of data governance, data quality frameworks, and metadata management.

Our client is looking for a passionate and skilled Senior Software Engineer to join their dynamic team and lead initiatives that will have a profound impact in the Engineering organization. If you are driven by the challenge of improving engineering efficiency, enhancing code quality, and increasing release confidence, this is the perfect opportunity for you. You will play a pivotal role in maturing engineering practices, directly impacting the team's ability to deliver value to customers faster and more reliably. Technologies and tools you'll utilize in this role include Typescript, React, React Native, Node.js, Cypress, GitHub Actions, Datadog, among others. Please note, this is a hybrid position at their Midtown Manhattan HQ, 4 days/week. What you can expect as a Senior Software Engineer: As a key member of the engineering team, you will be empowered to tackle some of their most significant technical challenges. You will: • Directly impact the quality and stability of products by helping ship code more reliably and shortening the time it takes to detect and resolve issues in production, • Build and implement a comprehensive suite of automated end-to-end and regression tests to ensure a high-confidence release process, • Work closely with the QA team to bridge the gap between development and testing, ensuring quality is a shared responsibility, • Implement contract testing to ensure seamless and reliable communication between applications and their internal service dependencies, • Define performance tests for critical user workflows, establishing clear benchmarks and Service Level Objectives (SLOs), • Coordinate the end-to-end release process for the core product, partnering with engineering teams to ensure smooth deployments and iteratively refining our release strategy as SDLC matures What Makes You a Great Fit? • Proven, in-depth experience building and maintaining complex applications using TypeScript and popular JavaScript frameworks (e.g., React Native), • Strong hands-on experience with test automation frameworks (e.g., Selenium, Cypress or Playwright), and a knack for writing clean, reliable, and high-confidence tests, • A deep understanding of CI/CD principles and practical experience building and managing pipelines with tools like GitHub Actions, GitLab CI/CD, CircleCI or Jenkins, • Solid grasp of various testing methodologies, including unit, integration, end-to-end, and regression testing, • Experience with modern observability platforms like Datadog, including instrumenting code to send custom metrics and using that data to define and track Service Level Objectives (SLOs), • A history of working effectively with QA teams and other engineers to build quality into the development process from the start, • The ability to analyze complex systems, identify bottlenecks, and implement effective, scalable solutions, • A data-driven approach to software development, with experience leveraging engineering metrics to identify bottlenecks and drive improvements in the development lifecycle, • Enthusiasm for exploring and applying modern, AI-driven development practices, frameworks and methodologies (e.g., BMAD-METHOD™). Salary: $139 - 170K USD

Forward Deployed Solutions Engineer Location: Williamsburg, NYC (On-site, 5 days/week) Employment Type: Full-time Compensation: $120,000–$200,000 + 0.3–1.2% Equity About the Role My client is seeking a Forward Deployed Solutions Engineer who combines technical expertise with strong customer focus. This role works directly with enterprise customers to implement AI agents, build integrations, and ensure successful adoption of the platform. You will operate at the intersection of engineering, product, and customer success, spending 30–50% of your time on hands-on technical work and the remainder on customer communication, project management, and implementation strategy. Responsibilities Customer Implementation • Own the technical relationship from initial demo through production deployment, • Advise customers on workflow design, automation strategies, and integration architecture Requirements • 1–3 years of experience building or implementing technical solutions, • Foundational coding skills in Python or TypeScript, • Experience with REST APIs, webhooks, and system integrations, • Strong communication abilities with both technical and non-technical stakeholders, • Ability to manage multiple customer implementations and deadlines, • High ownership, comfort with ambiguity, and proactive problem-solving skills Preferred Qualifications • Experience with LLMs, prompt engineering, RAG, or agent frameworks, • Consulting background with a technical undergraduate degree, • Full-stack development experience (React, Node.js, PostgreSQL, cloud infrastructure), • Familiarity with low-code tools (Zapier, Make, Retool), • Experience with voice AI platforms (Twilio, Vapi, LiveKit), • Industry experience in insurance, claims, or other operationally complex domains About My Client My client builds AI agents that automate complex operational workflows, including high-volume call handling and document processing. Their mission is to modernize traditional industries by deploying advanced AI systems that streamline and accelerate operations.

Hi, I hope you are doing well! We have an opportunity for Data Architect with one of our clients for NYC, NY. Please see the job details below and let me know if you would be interested in this role. If interested, please send me a copy of your resume, contact details, availability, and a good time to connect with you. Title: Data Architect Location: New York, New York - Onsite Terms: Long Term Contract Job Details: Primary Skills: SQL,ORACLE,Snowflake,12+ years of experience in data technology At least 5 years as a Data Engineer with hands-on experience in cloud environments 8+ years of Python programming focused on data processing and distributed systems 8+ years working with relational databases, dimensional modeling, and DBT 8+ years designing and administering cloud-based data warehousing solutions (e.g., Databricks) 8+ years' experience with Kafka or other streaming platforms Exposure to AI based advance techniques and tools Strong understanding of database fundamentals, including data modeling, advanced SQL development and optimization, ELT/ETL processes and DBT. Experience with Java, MS SQL Server, Druid, Qlik/Golden Gate CDC, and Power BI is a plus Responsibilities: • Architect streaming data ingestion and integration with downstream systems, • Implement AI-driven controller to orchestrate tens of millions of streams and micro-batches, • Design AI-powered onboarding of new data sources, • Develop AI-powered compute engine and data serving semantic layer, • Deliver scalable cloud data services and APIs with sub-second response times over petabytes of data, • Develop a unified alerting and monitoring framework supporting streaming transformations and compute across thousands of institutional clients and hundreds of external data sources, • Build a self-service data management and operations platform, • Implement a data quality monitoring framework Qualifications: • Bachelor’s degree in Computer Science, related field; advanced degree preferred, • 12+ years of experience in data technology, • At least 5 years as a Data Engineer with hands-on experience in cloud environments, • 8+ years of Python programming focused on data processing and distributed systems, • 8+ years working with relational databases, SQL, dimensional modeling, and DBT, • 8+ years designing and administering cloud-based data warehousing solutions (e.g., Snowflake, Databricks), • 8+ years experience with Kafka or other streaming platforms, • Exposure to AI based advance techniques and tools, • Strong understanding of database fundamentals, including data modeling, advanced SQL development and optimization, ELT/ETL processes and DBT., • Experience with Java, Oracle, MS SQL Server, Druid, Qlik/Golden Gate CDC, and Power BI is a plus, • Strong leadership abilities and excellent communication skills. Thanks Amit Jha Senior Recruiter at BeaconFire Inc. Email :

Trident Consulting is seeking a " OMS Support Engineer – Eze OMS " for one of our clients. " A global leader in business and technology services Role: OMS Support Engineer – Eze OMS Location : NYC, NY (Initial 5 days/week in client office for training, eventually 3 days/week) Type: Contract Rate- $70/hr (Negotiable) Eze Castle OMS Support Engineer who can work onsite in midtown NY. The skillset needed is specific but will work with our hedge fund client Front Office team for break fixes and supporting execution of business needs within the platform Key Responsibilities: • Provide day-to-day front office support for traders, portfolio managers, and operations teams., • Resolve application issues (primarily support with some break-fix responsibilities) related to trading and risk systems., • Collaborate closely with trading teams to understand workflows, trade lifecycle, and product structures across Equities, Fixed Income, Derivatives, and Physicals., • Troubleshoot and escalate complex issues to development or vendor teams as needed., • Maintain high system availability and ensure rapid incident response and resolution., • Support and enhance front office systems including Eze, Enfusion, FIS Risk, and other trading applications., • Participate in client onboarding processes and ensure system readiness for new clients or accounts., • Document system issues, support procedures, and best practices., • Work with infrastructure and development teams to improve application performance and reliability. Qualifications & Experience: • 5+ years of experience in front office or trading application support within a financial institution., • Strong understanding of trade lifecycle, financial products, and market data flows., • Experience with Eze, Enfusion, FIS Risk, or similar front-office and trading platforms., • Familiarity with client onboarding processes and trade flow integration., • Excellent communication skills with the ability to interface directly with traders and business users., • Ability to work in a high-pressure, time-sensitive environment. Trident Consulting is a premier IT staffing firm providing high-impact workforce solutions to Fortune 500 and mid-market clients. Since 2005, we've specialized in sourcing elite technology and engineering talent for contract, direct hire, and managed services roles. Our expertise spans cloud, AI/ML, cybersecurity, and data analytics, supported by a 3M+ candidate database and a 78% fill ratio. With a highly engaged leadership team and a reputation for delivering hard-to-fill, niche talent, we help organizations build agile, high-performing teams that drive innovation and business success. Learn more: ___. Some of our recent awards include: • Trailblazer Women Award 2025 by Consulate General of India in San Francisco, • Ranked as the #1 Women Owned Business Enterprise in the large category by ITServe

Greetings!!! Welcome to TechProjects! We specialize in IT-System integration to help with some of the biggest names in the public sectors around New York state. Our company provides exceptional IT solutions for our clients, while also offering top-notch career opportunities for our employees. At our firm, we work with a diverse range of clients, from cutting-edge startups to established industry leaders. If you're a tech professional looking for a challenging and rewarding career, we'd love to hear from you. Our company offers competitive salaries, comprehensive benefits packages, and a range of professional development opportunities. Whether you're a seasoned veteran or just starting out in your career, we have a role that's perfect for you. Thank you for considering our company as your potential employer. We look forward to hearing from you and discussing the exciting opportunities that await you at our firm Job Title: NETWORK DEPLOYMENT ENGINEER Location: Brooklyn, NY The Network Deployment Engineer will collaborate with internal Client teams and the integration vendor to manage network deployment, provisioning, monitoring, and inventory control. The engineer will also create and update Client integration applications, configuration templates, scripts, automated reporting, and dashboards. The role requires technical expertise to ensure proper network provisioning, integration, and monitoring. This engineer will support network refresh rollouts in schools, generate reports, and provide ongoing IT support, troubleshooting, and maintenance for deployed systems. Key duties include: • Engineering Support: Provide engineering support for school network integrations, reviewing proposed work plans to ensure alignment with Client network standards., • Validation of Work: Ensure the work completed by the integrator is accurate, complete, and documented correctly., • Network Design Review: Compare Network Design Plans with integrator submissions using the NOC Inventory Collection Engine (NICE) to confirm work completion., • Troubleshooting & Support: Diagnose and resolve network malfunctions remotely, providing support for issues arising during deployment activities., • Integration Refresh: Assist with integration refresh projects for school infrastructure by reviewing and approving work plans for hardware and software installation., • Real-Time Support: Provide real-time assistance to integrators during equipment installation, troubleshooting network and wireless issues., • Quality Assurance: Develop and enforce automated tools (e.g., Configuration Developer, NICE, Enterprise Management System metrics), ensuring consistent quality and accurate documentation. MINIMUM REQUIREMENTS: • Certification: Cisco Networking Certification Experience: • 7+ years in network operations, including routing, switching, firewalls, wireless, and network technologies., • 3+ years with network configuration for routing, switching, firewalls, and wireless devices., • 2+ years creating network configuration and status reports., • 2+ years preparing network diagrams, floor plans, and schematics using Visio or similar tools., • 3+ years providing Level I, II, and III network support for wired and wireless LAN., • 7+ years configuring Cisco switches (C9K, 68XX, 4XXX, 29XX), routers (C8XXX, ISR 29XX, ISR 4XXX), firewalls (ASA 55XX, Firepower 21XX), and wireless devices., • 4+ years working with large LAN/WAN infrastructure and Cisco networking equipment. • Skills: Highly detail-oriented and process-driven.

HCLTech is looking for a highly talented and self- motivated Enterprise Architect / Gen AI Software Engineer Architect to join it in advancing the technological world through innovation and creativity. Job Title: Enterprise Architect / Gen AI Software Engineer Architect Job ID: 2776482 Position Type: Full-Time Employment Location: Newark, New Jersey, USA JD for Software Engineering Architect: Experience: 10+ years in software engineering, with at least 3 years in architectural roles Key Responsibilities: • Lead the architecture, design, and development of enterprise-scale web applications with integrated Generative AI capabilities., • Define technical standards, architectural patterns, and best practices for scalable and secure software systems., • Collaborate with product, AI/ML, DevOps, and security teams to ensure alignment between business goals and technical execution., • Oversee full-stack development lifecycle, ensuring robust design, performance tuning, and security compliance., • Evaluate and integrate AI components such as LLMs, embedding services, and vector databases into product architecture. Mandatory Technical Skills: Cloud-Native Architecture & Microservices • Gen AI, • AI-ML Modeling, • LLM, • Azure AI, • Azure Architecture Pay and Benefits Pay Range Minimum: $ 115,000 Pay Range Maximum: $ 237,600 HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to for investigation. Compensation and Benefits A candidate’s pay within the range will depend on their work location, skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year. How You’ll Grow At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

About Beauty by Imagination: Beauty by Imagination is a global haircare company dedicated to boosting self-confidence with imaginative solutions for every hair moment. We are a platform company of diverse, market-leading brands, including Wet Brush, Goody, Bio Ionic, and Ouidad — all of which are driven to be the most trusted choice for happy, healthy hair. Our talented team is passionate about delivering high-performing products for consumers and salon professionals alike. Position Overview: We are looking for a skilled Data Engineer to design, build, and maintain our enterprise Data Warehouse (DWH) and analytics ecosystem — with a growing focus on enabling AI-driven insights, automation, and enterprise-grade AI usage. In this role, you will architect scalable pipelines, improve data quality and reliability, and help lay the foundational data structures that power tools like Microsoft Copilot, Copilot for Power BI, and AI-assisted analytics across the business. You’ll collaborate with business stakeholders, analysts, and IT teams to modernize our data environment, integrate complex data sources, and support advanced analytics initiatives. Your work will directly influence decision-making, enterprise reporting, and next-generation AI capabilities built on top of our Data Warehouse. Key Responsibilities • Design, develop, and maintain Data Warehouse architecture, including ETL/ELT pipelines, staging layers, and data marts., • Build and manage ETL workflows using SQL Server Integration Services (SSIS) and other data integration tools., • Integrate and transform data from multiple systems, including ERP platforms such as NetSuite., • Develop and optimize SQL scripts, stored procedures, and data transformations for performance and scalability., • Support and enhance Power BI dashboards and other BI/reporting systems., • Implement data quality checks, automation, and process monitoring., • Collaborate with business and analytics teams to translate requirements into scalable data solutions., • Contribute to data governance, standardization, and documentation practices., • Support emerging AI initiatives by ensuring model-ready data quality, accessibility, and semantic alignment with Copilot and other AI tools. Required Qualifications • Proven experience with Data Warehouse design and development (ETL/ELT, star schema, SCD, staging, data marts)., • Hands-on experience with SSIS (SQL Server Integration Services) for building and managing ETL workflows., • Strong SQL skills and experience with Microsoft SQL Server., • Proficiency in Power BI or other BI tools (Tableau, Looker, Qlik)., • Understanding of data modeling, performance optimization, and relational database design., • Familiarity with Python, Airflow, or Azure Data Factory for data orchestration and automation., • Excellent analytical and communication skills. Preferred Qualifications • Experience with cloud data platforms (Azure, AWS, or GCP)., • Understanding of data security, governance, and compliance (GDPR, SOC2)., • Experience with API integrations and real-time data ingestion., • Background in finance, supply chain, or e-commerce analytics., • Experience with NetSuite ERP or other ERP systems (SAP, Oracle, Dynamics, etc.). AI Focused Preferred Skills: • Experience implementing AI-driven analytics or automation inside Data Warehouses., • Hands-on experience using Microsoft Copilot, Copilot for Power BI, or Copilot Studio to accelerate SQL, DAX, data modeling, documentation, or insights., • Familiarity with building RAG (Retrieval-Augmented Generation) or AI-assisted query patterns using SQL Server, Synapse, or Azure SQL., • Understanding of how LLMs interact with enterprise data, including grounding, semantic models, and data security considerations (Purview, RBAC)., • Experience using AI tools to optimize ETL/ELT workflows, generate SQL scripts, or streamline data mapping/design., • Exposure to AI-driven data quality monitoring, anomaly detection, or pipeline validation tools., • Experience with Microsoft Fabric, semantic models, or ML-integrated analytics environments. Soft Skills • Strong analytical and problem-solving mindset., • Ability to communicate complex technical concepts to business stakeholders., • Detail-oriented, organized, and self-motivated., • Collaborative team player with a growth mindset. Impact You will play a key role in shaping the company’s modern data infrastructure — building scalable pipelines, enabling advanced analytics, and empowering the organization to safely and effectively adopt AI-powered insights across all business functions. Our Tech Stack • SQL Server, SSIS, Azure Synapse, • Python, Airflow, Azure Data Factory, • Power BI, NetSuite ERP, REST APIs, • CI/CD (Azure DevOps, GitHub) What We Offer • Location: New York, NY (Hybrid work model), • Employment Type: Full-time, • Compensation: Competitive salary based on experience, • Benefits: Health insurance, 401(k), paid time off, • Opportunities for professional growth and participation in enterprise AI modernization initiatives

Founding Backend Engineer $220k–$250k + Equity AI Start Up New York City (On Site) The Company We’re working with an early-stage venture studio operating across the US and Europe. They specialize in rapidly building and launching new products across sectors like AI, robotics, wearables, and next-generation consumer applications. The environment is hands-on, fast-moving, and rooted in experimentation and iteration. The Role We're seeking a backend engineer excited to work onsite in NYC, building alongside a small, highly technical team. You’ll execute quickly, leverage AI tools, and prototype constantly to bring ideas to life in days, not weeks. Ideal for someone who loves shipping MVPs at high velocity. Responsibilities • Build and maintain backend systems optimized for rapid product development, • Leverage AI tools and LLM integrations to speed up engineering workflows, • Prototype fast, turn concepts into working products within days, • Iterate constantly, including rethinking or rewriting ideas as needed, • Collaborate closely with designers, founders, and engineers in NYC and beyond, • Automate workflows and integrate backend services with AI/LLM components Requirements • Strong backend engineering fundamentals, • Proven ability to rapidly build and ship prototypes or MVPs, • Able to work independently and thrive in fast-paced, ambiguous environments, • Hands-on experience with AI tools or integrating LLMs, • Technical skills in Python (core), Swift (as needed), modern backend frameworks, AI/LLM APIs, and developer automation tools, • Demonstrated project-based achievements and strong growth trajectory, • Not ideal for candidates coming strictly from big tech or with long employment gaps Benefits As a Backend Engineer, you will receive $220k–$250k base salary plus equity. Keywords Backend Engineering, AI & LLM Integration, Python, Rapid Prototyping, MVP Development, High-Velocity Engineering, Startup Builder, NYC Engineering, Automation How to Apply Please submit your resume to be considered. Keywords Backend Engineering, Python, LLM Integration, AI Engineering, Rapid Prototyping, MVP Development, Automation, Startup Builder, High-Velocity Engineering, NYC Onsite, Data Services, Low-Latency Systems

STAND 8 provides end to end IT solutions to enterprise partners across the United States and with offices in Los Angeles, New York, New Jersey, Atlanta, and more including internationally in Mexico and India We are seeking a highly experienced M365 & Collaboration Engineer to architect, implement, and support modern collaboration and unified communication solutions across the enterprise. This senior-level role will lead end-to-end design, optimization, troubleshooting, and lifecycle management for Microsoft 365, unified communications, and integration capabilities. The ideal candidate combines technical depth, architectural vision, strong scripting skills, and the ability to collaborate across engineering, security, and business teams. This is a hybrid position, working on-site Monday through Thursday and remotely on Fridays Key Responsibilities Architecture, Design & Implementation • Lead design, implementation, and lifecycle support for enterprise collaboration products (M365, Slack, Zoom, Teams, Unified Communication systems, etc.)., • Architect scalable solutions aligned with organizational strategy and future technology roadmap., • Oversee full-stack collaboration deployments while simultaneously supporting ongoing architectural projects., • Provide advanced troubleshooting, performance tuning, and reliability improvements for M365 and other collaboration tools., • Perfom incident root-cause analysis and develop remediation strategies., • Work closely with cybersecurity teams and vendors to integrate M365 with other cloud and on-premise systems., • Support technology assessments and collaborate with solution partners and internal stakeholders., • Maintain security and compliance across the Microsoft 365 environment by implementing appropriate policies and controls., • Document architecture, configurations, and solution designs., • 7+ years of professional experience in Microsoft 365 architecture, engineering, and implementation., • Expert-level knowledge of M365 services (Exchange Online, SharePoint Online, Teams, OneDrive, Power Platform, etc.)., • 7+ years experience with PowerShell and scripting for administration and automation., • 5+ years hands-on experience with Azure services (AAD, App Services, SQL, Storage, Functions, Logic Apps, DevOps, etc.)., • Strong background in enterprise unified communication and collaboration solutions., • Experience monitoring, troubleshooting, and performing root-cause analysis of M365 issues., • Understanding of security/compliance practices within Microsoft environments., • Experience integrating M365 with cloud and on-prem systems., • Strong documentation, communication, and cross-functional collaboration skills., • Knowledge of networking fundamentals and common internet protocols., • Email/calendaring experience (Exchange, Outlook, Proofpoint)., • Ability to work in fast-paced Agile environments., • Bachelor's degree in a computer-related field or equivalent experience., • Microsoft certifications such as: M365 Enterprise Administrator Expert,Teams Administrator Associate, Security Administrator Associate., • Strong presentation and documentation abilities., • Ability to manage multiple projects simultaneously., • Medical coverage and Health Savings Account (HSA) through Anthem, • Dental/Vision/Various Ancillary coverages through Unum, • 401(k) retirement savings plan, • Paid-time-off options, • Company-paid Employee Assistance Program (EAP)

Founding AI/ML Engineer Who We Are We’re a Private Equity / investment firm embarking on setting up our A.I. specific arm of the company. The goal is to build AI-powered tools to transform how we manage due diligence, investor relations, and portfolio operations across more than 50 portfolio companies. Our leadership team is deeply invested in building this capability from the ground up. We’ve completed our first proof-of-concept project with a contract engineer and now we’re ready to bring on a Founding AI/ML Engineer to own and expand this function. This is a rare opportunity to join a greenfield initiative — you’ll have full ownership over the technical direction, collaborate directly with leadership, and build tools that have both internal and portfolio-wide impact. What’s The Job As the Founding AI/ML Engineer, you’ll be the driving force behind the design, development, and deployment of our core AI and data products. You’ll operate across the full stack — from data infrastructure and modeling to product integration — with the autonomy to shape our systems and tooling choices. What You’ll Do: • Lead development of internal AI systems from scratch — including RAG pipelines, intelligent document processing (e.g. automating DDQ and NDA workflows), and investor relations tools., • Partner closely with the Head of Product to define requirements and co-develop solutions for both internal operations and portfolio companies., • Build production-ready models that can be customized and deployed across 50+ portfolio companies, supporting a range of use cases., • Work hands-on across the stack (Python, SQL, backend integrations) to ship features quickly and iterate based on feedback., • Collaborate directly with leadership — including the CEO, Head of Investments, and Product team — to identify new opportunities where AI can improve efficiency and insight., • Define the long-term technical roadmap, making key decisions on frameworks, infrastructure, and best practices (current preference is PyTorch, but you’ll have the freedom to choose). This is not a pure research or data science role — it’s an applied engineering position where you’ll translate ideas into usable, production-ready systems. What Skills We’re Looking For Core Profile: • Strong Computer Science background (Bachelor’s or Master’s from a top university preferred)., • 3–10 years of hands-on experience in Software + ML engineering., • Proven experience taking projects end-to-end — from concept to production — not just analysis or experimentation., • Deep technical skills across Python, data pipelines, model development, backend architecture, and AI/ML application., • Familiarity with latest AI technologies & tools; fine-tuning models, RAGs etc., • Comfortable in a blank-slate environment with minimal existing infrastructure., • Experience at both Big Tech (technical rigor) and startups (ownership and agility)., • Prior exposure to building or deploying AI tools in production., • Strong communication skills — able to collaborate with product and business stakeholders effectively., • Specialists limited to data science, consulting, or research-only roles., • Engineers who haven’t owned full product lifecycles or operated without large support teams. Compensation: • $200,000 - $300,000 Base Salary + Bonus (based on experience), • Full benefits package Why This Opportunity? This is a foundational hire — a chance to define the AI vision, architecture, and culture for an organization that’s serious about using technology to transform an industry. You’ll have the autonomy of a startup engineer, the resources of an established firm, and the opportunity to shape products that touch dozens of companies.

Field Project Manager - Fire Sprinkler Systems Build your best future with the JCI team As a global leader in smart, healthy, and sustainable buildings, our mission is to reimagine the performance of buildings to serve people, places, and the planet. Join a winning team that enables you to build your best future! Our teams are uniquely positioned to support a multitude of industries across the globe. You will have the opportunity to develop yourself through meaningful work projects and learning opportunities. We strive to provide our employees with an experience focused on supporting their physical, financial, and emotional well-being. Become a member of the JCI family and thrive in an empowering company culture where your voice and ideas will be heard " your next great opportunity is just a few clicks away! What you will do Project Managers are responsible for managing fire alarm, security, communications, and sprinkler installation projects in commercial, educational, healthcare, and industrial facilities, positively representing the company in all client and architect/engineer interactions. The PM oversees and communicates project progression from inception to completion including design, permits, material delivery, labor schedules, and field installation. Develops a comprehensive project plan to meet schedules and budgets. Conducts Work in Progress meetings. Understands and follows all published codes, standards, and unique project specifications. Ensures AHJ requirements and departmental/SOX procedures are followed. Convey a sense of professionalism, fairness, and concern for customers, labor, and management. Coordinates change orders and drives toward overall margin improvement on every job. This project manager position will also require managing service contract work for a large client which will include but not be limited to the following activities: requesting inspection schedules, monitoring and managing inspection schedules, managing and following up on repair quotes, ensuring repairs are completed and retested in a timely manner. How you will do it • Methodology - Understanding of Project Management methodology and key knowledge areas: Integration, Scope, Time, Cost, Quality, Human Resources, Communications, Risk, and Procurement Management., • Communication/Coordination - Responsible for communication and status reporting to project staff, customers, and management., • Responsible for work plan, managing project resources, duty assignment, responsibilities, scope of authority, and provides technical advice and problem resolution to all aspects of the project., • Fiscal - Responsible for tracking projects expenditures and installation progress through reviews of status reports prepared by project personnel and modifies schedules of plans as required. Maintains full financial accountability to project; requires the ability to forecast financial trends across the project, understand internal and external client cost structures and integrate or translate to/from Simplex-Grinnell accounting methodology using AIA standards., • Quality - Maintain full accountability to project quality; conducting inspections of work site, ensuring workmanship meets installation required quality standards and expectations., • Customer Service - Provide responsive, concise, and professional support to all customers and other personnel and ensure timely follow-up on all customer concerns and issues. What we look for Required • Five years fire protection, construction, sprinkler/suppression, or related project management experience, or equivalent combination of education and experience., • Ability to read and understand complex building architectural, mechanical, and electrical documents., • Ability to multi-task and prioritize assignments with a strong adherence to deadlines., • Exceptional verbal and written communication skills, both with internal and external customers., • Possess a strong and active working knowledge of MS Excel. Be able to create tracking spreadsheets, reference data in other spreadsheets, and create macros., • Must be organized, detail-oriented, and self-motivating., • Must have the ability to interact effectively with employees and customers in difficult situations., • Knowledge of NFPA and IEC standards, Underwriter's requirements, and applicable building codes preferred., • NICET Level I or higher preferred., • Bachelor's degree in a technical, business, or equivalent field. What we offer • Competitive salary, • Paid vacation/holidays/sick time - 15 days of vacation first year, • Comprehensive benefits package including 401K, medical, dental, and vision care - Available day one, • Extensive product and on-the-job/cross-training opportunities With outstanding resources, • Encouraging and collaborative team environment, • Dedication to safety through our Zero Harm policy, • Check us Out: ___: HIRING SALARY RANGE: $95000-$119000 (Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, location and alignment with market data.) This position includes a competitive benefits package. For details, please visit the About Us tab on the Johnson Controls Careers site at ___ Johnson Controls International plc. is an equal employment opportunity and affirmative action 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. To view more information about your equal opportunity and non-discrimination rights as a candidate, visit ___. If you are an individual with a disability and you require an accommodation during the application process, please visit here

We are seeking an experienced Senior Network Engineer to join our IT Infrastructure team in a dynamic, fast-paced financial environment. This role is responsible for designing, implementing, and maintaining a secure, scalable, and high-performing network that supports critical business operations. You’ll work closely with the Network Manager and IT teams, ensuring continuous uptime and optimal performance across the firm’s network and voice systems. Key Responsibilities • Administer, design, and maintain enterprise network infrastructure (routers, switches, firewalls, wireless solutions)., • Provide 24x7 support and serve as Level 2/3 escalation for IT teams and IPC turret systems., • Configure and optimize firewalls (Cisco ASA/FTD, Palo Alto) and manage VPNs, load balancers, and remote access solutions., • Monitor, troubleshoot, and improve network performance using industry tools (e.g., SolarWinds)., • Collaborate on integration of network solutions with cloud platforms (e.g., Microsoft Azure)., • Lead and support network, telephony, and data center projects, including moves/adds/changes., • Maintain vendor relationships, telecom circuits, and market connectivity., • Support Cisco Unified Communications, AV systems, and IPC turret environments., • Develop documentation for network processes, configurations, and troubleshooting., • Stay current on emerging technologies and security practices to enhance infrastructure resilience. Required Qualifications • 7+ years of experience in LAN/WAN/MAN management, preferably in financial services., • Strong expertise with Cisco switching/routing (IOS XE, IOS XR, Nexus OS) and routing protocols (BGP, EIGRP, OSPF, VPC)., • 7+ years with Cisco ASA/FTD and Palo Alto firewalls., • 5+ years in VoIP/mixed TDM environments and supporting IPC turrets., • Knowledge of VPNs, load balancers (Citrix NetScaler), and secure access solutions., • Data center management experience, including cabling and infrastructure., • Strong troubleshooting and project management skills with ability to work off-hours as needed., • Excellent communication and customer service orientation., • Ability to lift up to 50 pounds. Preferred Qualifications • CCIE Voice, CCIE Routing & Switching, or related Cisco certifications., • IPC Level 1 Certification or Cisco VoIP/Security/Data Center training., • Hands-on experience with network automation tools., • Experience supporting trading floor environments.

Job Title: Senior Systems Engineer – Front Office Technology Location: Hybrid – New York, NY Employment Type: Full-Time, Direct Hire About the Role We are seeking a highly experienced Senior Systems Engineer to join our dynamic Front Office Technology team. This role is pivotal in designing and implementing cutting-edge solutions that support trading operations and compliance systems within a fast-paced buy-side financial environment. You’ll work closely with traders, portfolio managers, and compliance officers to deliver robust, scalable, and intelligent systems. Key Responsibilities • Architect, develop, and maintain mission-critical applications for front office trading and compliance workflows, • Collaborate with cross-functional teams to gather requirements and deliver tailored solutions, • Integrate AI/ML capabilities to enhance decision-making, automation, and predictive analytics, • Optimize performance and reliability of systems using cloud-native technologies (AWS, Azure, GCP), • Ensure regulatory compliance and data integrity across all systems, • Mentor junior engineers and contribute to engineering best practices Required Qualifications • 10+ years of professional software engineering experience, • 5+ years in financial services, specifically within buy-side environments, • Strong programming expertise in C#, .NET, and SQL, • Hands-on experience with cloud platforms: AWS, Azure, or GCP, • Proven track record of AI/ML implementation and integration, • Deep understanding of front office trading systems and compliance frameworks, • Excellent communication and problem-solving skills Preferred Skills • Experience with microservices architecture and containerization (Docker, Kubernetes), • Familiarity with FIX protocol and market data feeds, • Exposure to agile methodologies and CI/CD pipelines

Title: Enterprise Data Management – Data Cloud, Senior Developer I Location: Hybrid, 2 days onsite in NYC Duration: FTE/Permanent Salary: 130-165k The Data Engineering team oversees the organization's central data infrastructure, which powers enterprise-wide data products and advanced analytics capabilities in the investment management sector. We are seeking a senior cloud data engineer to spearhead the architecture, development, and rollout of scalable, reusable data pipelines and products, emphasizing the creation of semantic data layers to support business users and AI-enhanced analytics. The ideal candidate will work hand-in-hand with business and technical groups to convert intricate data needs into efficient, cloud-native solutions using cutting-edge data engineering techniques and automation tools. Responsibilities: • Collaborate with business and technical stakeholders to collect requirements, pinpoint data challenges, and develop reliable data pipeline and product architectures., • Design, build, and manage scalable data pipelines and semantic layers using platforms like Snowflake, dbt, and similar cloud tools, prioritizing modularity for broad analytics and AI applications., • Create semantic layers that facilitate self-service analytics, sophisticated reporting, and integration with AI-based data analysis tools., • Build and refine ETL/ELT processes with contemporary data technologies (e.g., dbt, Python, Snowflake) to achieve top-tier reliability, scalability, and efficiency., • Incorporate and automate AI analytics features atop semantic layers and data products to enable novel insights and process automation., • Refine data models (including relational, dimensional, and semantic types) to bolster complex analytics and AI applications., • Advance the data platform's architecture, incorporating data mesh concepts and automated centralized data access., • Champion data engineering standards, best practices, and governance across the enterprise., • Establish CI/CD workflows and protocols for data assets to enable seamless deployment, monitoring, and versioning., • Partner across Data Governance, Platform Engineering, and AI groups to produce transformative data solutions. Qualifications: • Bachelor’s or Master’s in Computer Science, Information Systems, Engineering, or equivalent., • 10+ years in data engineering, cloud platform development, or analytics engineering., • Extensive hands-on work designing and tuning data pipelines, semantic layers, and cloud-native data solutions, ideally with tools like Snowflake, dbt, or comparable technologies., • Expert-level SQL and Python skills, plus deep familiarity with data tools such as Spark, Airflow, and cloud services (e.g., Snowflake, major hyperscalers)., • Preferred: Experience containerizing data workloads with Docker and Kubernetes., • Track record architecting semantic layers, ETL/ELT flows, and cloud integrations for AI/analytics scenarios., • Knowledge of semantic modeling, data structures (relational/dimensional/semantic), and enabling AI via data products., • Bonus: Background in data mesh designs and automated data access systems., • Skilled in dev tools like Azure DevOps equivalents, Git-based version control, and orchestration platforms like Airflow., • Strong organizational skills, precision, and adaptability in fast-paced settings with tight deadlines., • Proven self-starter who thrives independently and collaboratively, with a commitment to ongoing tech upskilling., • Bonus: Exposure to BI tools (e.g., Tableau, Power BI), though not central to the role., • Familiarity with investment operations systems (e.g., order management or portfolio accounting platforms).

Encore Talent Solutions is currently seeking a Senior Python Developer for a full time position located in New York City, NY. This is a hybrid position that will work onsite in the New York City office 3 days per week and remote 2 days a week. We are seeking a highly skilled Senior Software Engineer with deep expertise in Python and modern backend frameworks. This role is ideal for someone passionate about building scalable, secure, and high-performance APIs and services that power data-driven solutions. You will work on mission-critical systems leveraging AI, electronic health records (EHRs), and other complex, sensitive medical data to make it easier for people to get essential life insurance coverage. The role sits within a small high-impact team dedicated to building the industry’s most advanced solution for medical risk assessment. Position offers substantial opportunity to shape a new solution, ship product quickly and see immediate impact. Key Accountabilities • Participate in shaping the design of API architecture for real-time decisioning with complex medical data, • Collaborate with data scientists, underwriters, customer success and product managers to develop and deliver the product roadmap, • Optimize performance and scalability of backend systems handling large volumes of structured and unstructured health data, • Adapt product to evolving use of machine learning models and LLMs, • Build maintainable software; write unit/integration tests and implement automated testing, • Participate in code review and contribute to continuous improvement of development practices Required Knowledge, Skills, and Experience • 3+ years of professional experience with Python preferred; strong understanding of software design lifecycle (SDLC) best practices, • Familiar with API design tools/languages (e.g., Swagger, OpenAPI, FastAPI), • Cloud computing and Kubernetes (or similar orchestration tools), • Containerizations tools (e.g., Docker), • Experience with relational databases (e.g., PostgreSQL, MySQL) and ORM libraries (e.g., SQLAlchemy), • Experience with load testing, latency profiling, and performance optimization for backend systems, • Experience with infrastructure-as-code tools (e.g., Terraform) Encore Talent Solutions is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills, and experiences within our workforce.

Mastech Digital Inc. (NYSE: MHH) is a minority-owned, publicly traded IT staffing and digital transformation services company. Headquartered in Pittsburgh, PA, and established in 1986, we serve clients nationwide through 11 U.S. offices. Role: Data Engineer Location: Merrimack, NH/Smithfield, RI/Jersey City, NJ Duration: Full-Time/W2 • Job Description: Heavy SQL for data analysis, validation and querying AWS and the ability to move the data through the data stages and into their target databases. The Postgres database is the target, so that is required. Nice to haves: • Snowflake, • Java for API development is a nice to have (will teach this), • Experience in asset management for domain knowledge., • Production support debugging and processing of vendor data The Expertise and Skills You Bring • A proven foundation in data engineering – bachelor’s degree + preferred, 10+ years’ experience, • Extensive experience with ETL technologies, • Design and develop ETL reporting and analytics solutions., • Knowledge of Data Warehousing methodologies and concepts – preferred, • Advanced data manipulation languages and frameworks (JAVA, PYTHON, JSON) – required, • RMDS experience (Snowflake, PostgreSQL ) – required, • Knowledge of Cloud platforms and Services (AWS – IAM, EC2, S3, Lambda, RDS ) – required, • Designing and developing low to moderate complex data integration solution – required, • Experience with DevOps, Continuous Integration and Continuous Delivery (Maven, Jenkins, Stash, Ansible, Docker) will be preferred, • Expert in SQL and Stored Procedures on any Relational databases, • Good in debugging, analyzing and Production Support, • Application Development based on JIRA stories (Agile environment), • Demonstrable experience with ETL tools (Informatica, Snaplogic), • Experience in working with Python in an AWS environment, • Create, update, and maintain technical documentation for software-based projects and products., • Solving production issues., • Interact effectively with business partners to understand business requirements and assist in generation of technical requirements., • Participate in architecture, technical design, and product implementation discussions., • Working Knowledge of Unix/Linux operating systems and shell scripting, • Experience with developing sophisticated Continuous Integration & Continuous Delivery (CI/CD) pipeline including software configuration management, test automation, version control, static code analysis., • Excellent interpersonal and communication skills, • Ability to work with global Agile teams, • Proven ability to deal with ambiguity and work in fast paced environment, • Ability to mentor junior data engineers. The Value You Deliver • The associate would help the team in designing and building a best-in-class data solutions using very diversified tech stack., • Strong experience of working in large teams and proven technical leadership capabilities, • Knowledge of enterprise-level implementations like data warehouses and automated solutions., • Ability to negotiate, influence and work with business peers and management., • Ability to develop and drive a strategy as per the needs of the team Good to have: Full-Stack Programming knowledge, hands-on test case/plan preparation within Jira

Field Project Manager - Fire Alarm Systems Build your best future with the JCI team As a global leader in smart, healthy, and sustainable buildings, our mission is to reimagine the performance of buildings to serve people, places, and the planet. Join a winning team that enables you to build your best future! Our teams are uniquely positioned to support a multitude of industries across the globe. You will have the opportunity to develop yourself through meaningful work projects and learning opportunities. We strive to provide our employees with an experience focused on supporting their physical, financial, and emotional well-being. Become a member of the JCI family and thrive in an empowering company culture where your voice and ideas will be heard " your next great opportunity is just a few clicks away! What you will do Project Managers are responsible for managing fire alarm, security, communications, and sprinkler installation projects in commercial, educational, healthcare, and industrial facilities, positively representing the company in all client and architect/engineer interactions. The PM oversees and communicates project progression from inception to completion including design, permits, material delivery, labor schedules, and field installation. Develops a comprehensive project plan to meet schedules and budgets. Conducts Work in Progress meetings. Understands and follows all published codes, standards, and unique project specifications. Ensures AHJ requirements and departmental/SOX procedures are followed. Convey a sense of professionalism, fairness, and concern for customers, labor, and management. Coordinates change orders and drives toward overall margin improvement on every job. This project manager position will also require managing service contract work for a large client which will include but not be limited to the following activities: requesting inspection schedules, monitoring and managing inspection schedules, managing and following up on repair quotes, ensuring repairs are completed and retested in a timely manner. How you will do it • Methodology - Understanding of Project Management methodology and key knowledge areas: Integration, Scope, Time, Cost, Quality, Human Resources, Communications, Risk, and Procurement Management., • Communication/Coordination - Responsible for communication and status reporting to project staff, customers, and management., • Responsible for work plan, managing project resources, duty assignment, responsibilities, scope of authority, and provides technical advice and problem resolution to all aspects of the project., • Fiscal - Responsible for tracking projects expenditures and installation progress through reviews of status reports prepared by project personnel and modifies schedules of plans as required. Maintains full financial accountability to project; requires the ability to forecast financial trends across the project, understand internal and external client cost structures and integrate or translate to/from Simplex-Grinnell accounting methodology using AIA standards., • Quality - Maintain full accountability to project quality; conducting inspections of work site, ensuring workmanship meets installation required quality standards and expectations., • Customer Service - Provide responsive, concise, and professional support to all customers and other personnel and ensure timely follow-up on all customer concerns and issues. What we look for Required • Five years fire protection, construction, alarm/detection, or related project management experience, or equivalent combination of education and experience., • Ability to read and understand complex building architectural, mechanical, and electrical documents., • Ability to multi-task and prioritize assignments with a strong adherence to deadlines., • Exceptional verbal and written communication skills, both with internal and external customers., • Possess a strong and active working knowledge of MS Excel. Be able to create tracking spreadsheets, reference data in other spreadsheets, and create macros., • Must be organized, detail-oriented, and self-motivating., • Must have the ability to interact effectively with employees and customers in difficult situations., • Knowledge of NFPA and IEC standards, Underwriter's requirements, and applicable building codes preferred., • NICET Level I or higher preferred., • Bachelor's degree in a technical, business, or equivalent field. What we offer • Competitive salary, • Paid vacation/holidays/sick time - 15 days of vacation first year, • Comprehensive benefits package including 401K, medical, dental, and vision care - Available day one, • Extensive product and on-the-job/cross-training opportunities With outstanding resources, • Encouraging and collaborative team environment, • Dedication to safety through our Zero Harm policy, • Check us Out: ___: HIRING SALARY RANGE: $95,000-119,000 (Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, location and alignment with market data.) This position includes a competitive benefits package. For details, please visit the About Us tab on the Johnson Controls Careers site at ___ Johnson Controls International plc. is an equal employment opportunity and affirmative action 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. To view more information about your equal opportunity and non-discrimination rights as a candidate, visit ___. If you are an individual with a disability and you require an accommodation during the application process, please visit here.

Hello, We have 4 urgent openings for a "Principal Java Engineer ". These are hybrid roles in Jersey City, NJ (Hybrid – approximately 1 week onsite per month) Only looking for candidates who can work on W2 Strictly no C2C or third-party vendors Job title: Principal Java Engineer Client: Fidelity Title: Senior Java Engineer Location: Jersey City, NJ (Hybrid – approximately 1 week onsite per month) Duration: Long-term contract Rate: • $70 – $75/hr on 1099, • $75/hr on W2 Local candidates strongly preferred About the Role Fidelity is seeking an experienced Senior Java Engineer to join a high-performing engineering team responsible for building and enhancing cloud-native, high-performance backend systems. This role focuses on Core Java, AWS, and distributed microservices to support mission-critical financial platforms used across the organization. The ideal candidate is strong in backend development, cloud engineering, distributed databases, and large-scale system performance. Key Responsibilities • Design, develop, and optimize backend services using Core Java, • Build and enhance microservices supporting high-throughput, low-latency financial workloads, • Develop cloud-native solutions using AWS services such as Lambda, EC2, S3, CloudWatch, IAM, and API Gateway, • Work extensively with distributed data stores including Cassandra for large-scale, resilient data processing, • Implement RESTful APIs to support enterprise integration and platform connectivity, • Ensure performance, scalability, security, and reliability across backend components, • Collaborate closely with DevOps, QA, SRE, and Architecture teams, • Participate in Agile ceremonies, code reviews, and engineering best-practice discussions, • Troubleshoot production issues, optimize backend performance, and contribute to stability and resilience improvements, • Support ongoing modernization, refactoring, and cloud-migration initiatives across Fidelity platforms Required Skills • Strong hands-on expertise in Core Java and backend engineering, • Experience with AWS services (Lambda, EC2, S3, IAM, CloudWatch, SQS, etc.), • Hands-on experience with Cassandra or other distributed databases, • Strong understanding of REST APIs, microservices, and distributed system patterns, • Experience with CI/CD pipelines, containerization, and modern DevOps workflows, • Solid debugging skills and ability to identify performance bottlenecks, • Excellent communication and collaboration skills, • Experience in financial services or large-scale enterprise environments is a plus ABOUT US: Anagh Technologies is a technical consulting firm specializing in UI, Front-End, and Full-Stack web technologies. We currently have 30+ positions in Angular, React, Node, and Java. If technically strong, we can 100% get you an offer within 2 weeks MAX, as we will consider you for multiple roles at once. If you are interested and are available, please email me your resume and contact information to arshad AT anaghtech.com. Thank you for your time.

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 seeking a highly experienced and innovative Senior AI/ML Engineer with industry expertise to lead the development of scalable machine learning systems. In this pivotal role, there will be architecture and implementation of advanced AI solutions, guide strategic AI initiatives, and collaboration with cross-functional teams to drive innovation. The technical leadership will be instrumental in shaping our AI roadmap and delivering state-of-the-art models and systems. 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 $135k - $145k/year & benefits (see below). The Role Responsibilities: • Design, develop, and optimize scalable machine learning systems capable of handling large-scale data and complex models., • Develop advanced statistical models to solve complex business problems., • Lead the deployment of ML models into production environments with robustness and efficiency., • Integrate models seamlessly with REST APIs for application integration., • Provide technical guidance and strategic direction for AI initiatives across teams., • Stay abreast of the latest AI/ML research, especially in NLP, deep learning, and large language models., • Mentor junior team members and promote best practices in AI engineering., • Collaborate with data engineers, software developers, and product teams to align AI solutions with business goals. Requirements: • Proven experience designing scalable ML systems and architectures., • Strong expertise in advanced statistical modeling techniques., • Deep experience in model development and deployment pipelines., • Proficiency in integrating ML models with REST APIs., • Hands-on experience with cloud ML platforms, such as AWS SageMaker or Azure AI. Preferred, but not required: • In-depth experience with Natural Language Processing (NLP), deep learning, and transformer-based models., • Demonstrated leadership in formulating and executing AI strategies within organizations., • Knowledge of the latest AI frameworks, including Transformers and Large Language Models (LLMs). We offer: • A highly competitive compensation and benefits package., • A multinational organization with 58 offices in 21 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.