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Sr. 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 solutionsPreferred 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, Kubeflow or TensorFlow, • 3+ years of experience developing performant, resilient, and maintainable code, • 3+ years of experience with data gathering and preparation for ML models, • 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 audiencesCapital 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. Cambridge, MA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer San Jose, CA: $250,800 - $286,200 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com 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 Lead AI Engineer (GenAI Platform Services) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers 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. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com 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 (Manager IC) As a Capital One Machine Learning Engineer (MLE), you'll join an Agile team building and productionizing foundation models at scale. Our work centers on self-supervised learning for transformer architectures — pretraining on Capital One's rich, large-scale behavioral data to learn representations that power applications across use cases such as fraud, marketing, and servicing. You'll participate in the detailed technical design, development, and implementation of these systems, spanning model architecture, large-scale training and representation learning, and the engineering required to serve models reliably in production. You'll develop and review model and application code, drive machine learning architectural decisions, and ensure the high availability and performance of our applications. And you'll have the opportunity to continuously learn and apply the latest innovations in self-supervised learning, transformer modeling, and ML engineering best practices. What You’ll Do: 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 Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion 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: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer San Jose, CA: $215,200 - $245,600 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com 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 AI Engineer (Vision model customization, VLM) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production 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. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com 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 AI Engineer (AI Foundations, LLM Core and Agentic AI) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production 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. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com 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 AI Engineer (Vision model customization, VML) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production 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. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com 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 Lead AI Engineer, Gen AI Platform Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers 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: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com 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 AI Engineer (GenAI Platform, AI Foundations, LLM Core and Agentic AI) Overview Lead AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production 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: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer Richmond, VA: $179,400 - $204,700 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com 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).

Sr. Lead AI Engineer (GenAI Platform) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers 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. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com 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 Title: Application Programmer III Location: Jersey City, NJ Duration: Contract - 11 months Pay Range: $68.25/hr (W2) Job ID: 373334 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a DevOps Engineer to join our dynamic team supporting SDLC for Java and Python applications within the MRT space. The ideal candidate will have strong experience in Linux shell scripting, Ansible, CI/CD, containerization, and release engineering and a proven ability to automate deployments, optimize build pipelines, and troubleshoot complex release issues across multiple environments. Responsibilities: Develop common scripts and Ansible playbooks for shared components including databases and Autosys. Implement distributed deployment and installation of releases to single and multi-host environments. Support DEV, UAT, STG, and PROD build environments and CI/CD pipelines. Debug and troubleshoot build and deployment issues across environments. Collaborate with cross-functional teams to provide CI/CD support and release coordination. Provide release and debugging support during Production deployments. Automate repetitive tasks using scripting and Ansible YAML. Required Skills & Qualifications: Expertise in Bash shell scripting in a Linux environment. Expertise in deployment automation with Ansible playbooks using YAML. Proficiency with build and integration tools such as Maven and Jenkins. Proficiency with Git operations including branching, merging, and tagging. Proficiency in containerizing builds and deployments using Docker and OpenShift. Bachelor's degree or higher in Computer Science or a related field. Preferred Skills: Knowledge of Autosys for job management and scripting. Experience in a financial institution release engineering domain. Work Details: Start: ASAP. Onsite requirement: 3 days per week in Jersey City, NJ. Glider: Candidate ID verification. Submission must include current location and intended onsite location in resume. Hours per day: 8. Labor type: Technical. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume. Ensure your resume includes your current location and intended onsite location.

THIS JOB DESCRIPTION WAS CREATED BY AI, REVIEW BEFORE POSTING Position: Java J2EE - Advanced (only W2) Location: Brooklyn, New York Duration: Contract Job ID: 173433 Job Overview: As a Lead Software Engineer within Security Services, you will play a pivotal role in an agile team, enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. You will be responsible for developing innovative software solutions, driving technical excellence, and ensuring alignment with business goals. This role offers an opportunity to push the boundaries of technology and contribute to critical solutions across multiple technical areas. Responsibilities: Execute creative software solutions, design, development, and technical troubleshooting, thinking beyond routine approaches to build solutions or resolve technical problems. Develop secure, high-quality production code and review/debug code written by others. Set up and manage Proofs of Concept (POCs) to evaluate new technologies and methodologies. Drive adoption of best practices in software development and AI integration, ensuring high standards of quality, security, and efficiency. Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability. Lead technical designs and collaborate with geographically distributed analysts and developers. Work with stakeholders to gather requirements and ensure solutions meet business needs. Contribute to a team culture of diversity, opportunity, inclusion, and respect. Qualifications: Formal training or certification in software engineering concepts with 5+ years of applied experience. Hands-on experience in system design, application development, testing, and operational stability. Proficient in coding in one or more object-oriented languages, including Java 17+ with Spring Boot. Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security. Experience building enterprise applications with high availability and performance using Java, Spring, Kafka, EKS, and Distributed Cache. Strong hands-on experience designing and building solutions on AWS, including services such as EC2, S3, Lambda, ELB, ECS, and EKS. Preferred Qualifications: Keen interest in staying ahead of modern development trends and experimenting with emerging technologies such as AI and Machine Learning. Hands-on experience with Microservices, Data usage patterns, and Event-Driven Architecture (EDA). Knowledge of cloud architecture and ability to capture and share best-practice knowledge across teams. Ability to back decisions with research and articulate several options with pros and cons. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit www.ptrglobal.com At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $70- $80 The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 214-740-2424. To report any concerns, please email us at legal@pinnacle1.com #LI-HM1

CS/IT/Data Science Graduates or About to be Grads. Get Hired by following a Process! If your Applications are Going Nowhere Try a Placement‑Focused Path Graduating with a CS degree is impressive — but it’s not enough anymore. Employers want hands‑on experience, real projects, and interview‑ready candidates. Getting hired in tech isn’t just about knowing how to code — it’s about proving you can deliver value from day one. Despite layoffs and market shifts, the tech industry still needs skilled developers. The challenge is proving you’re ready to contribute. A CS degree gives you a foundation, but employers want more — they want proof you can apply your knowledge in real‑world scenarios. If you just graduated (or you’re about to) and the job search is already feeling confusing, you’re not imagining it. A degree proves you can learn—but employers hire for job readiness: projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one. That’s why many new grads send hundreds of applications and still hear nothing back. It’s not because you’re “not smart enough.” It’s because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready. We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AI—full-time opportunities aligned to client needs. Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML. SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AI—so you don’t graduate with scattered skills, you graduate with an employable stack. SynergisticIT since 2010, has helped candidates land full-time roles at major organizations ( including Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, JPMC, Wayfair, Bank of America, Citi, and more) with offers commonly in the $95k–$154k range depending on role and skill depth. For a new grad, the bigger message isn’t the number—it’s that results require a structured pathway, not random applications. Here’s a realistic way to think about your advantage as a fresh graduate: you’re early enough to build the right foundation before bad habits set in. If you master fundamentals—coding, debugging, data structures, system thinking—and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of “entry-level” candidate who actually feels like a safe hire. What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers. The strongest candidates aren’t “tool collectors”—they’re people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly. Why fresh grads get stuck— Fresh grads often struggle for four predictable reasons: Resume doesn’t match job keywords (ATS filters you out). Projects look like school assignments (not production-aligned). Interview skills are undertrained (DSA, system design, SQL, behavioral). No structured pipeline (random applying without feedback loops). A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says “yes.” Who this path fits best If you’re a recent graduate, you’ll likely fit if you match any of these: New grads in CS, Engineering, Math, or Statistics with limited job experience Students finishing Bachelor’s or Master’s programs who need a real hiring plan Candidates who apply consistently but don’t get callbacks Candidates who reach interviews but struggle to close International students on F-1/OPT who need a job plan for STEM extension/H-1B timing Graduates with strong academics but thin practical experience SynergisticIT helps STEM extension and work authorization pathways, and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities. If you’re tired of guessing, stop treating your job search like a lottery. Treat it like a project with milestones: skills → portfolio → interview readiness → targeted applications → scheduled interviews → offer. If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Discover JOPP: Job Placement Program Contact & get a roadmap:https://www.synergisticit.com/contact-us/ Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? Bottom line for fresh grads: Your degree is the starting line, not the finish line. If you want to get hired faster, you don’t need “more random courses.” You need a guided, job-focused path and the right people around you. In tech, it’s not just what you learn—it’s how you learn and who you build with that decides how far you go. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume

Temp Senior Automation Engineer Job Number: 26-00915 Find your next opportunity in the Financial Services Industry. ECLARO is looking for a Temp Senior Automation Engineer for our client in New York, NY. ECLARO's client is one of the largest mutual life insurance companies and provides long-term care insurance, mutual funds and retirement-plan services across the US. If you’re up to the challenge, then take a chance at this rewarding opportunity! Position Overview: Join a dynamic team, contributing to innovative technology initiatives including Generative AI and digital transformation. A seasoned automation engineer with strong leadership skills and a passion for quality engineering. Responsibilities: Design, build, and maintain scalable test automation frameworks using Playwright (TypeScript), Selenium (Java), Appium, Cypress, and other tools. Develop and maintain automated test scripts in Java, JavaScript, and C#. Integrate automated tests into CI/CD pipelines to support continuous delivery. Conduct performance testing and infrastructure support. Collaborate with cross-functional teams to define test strategies and ensure comprehensive test coverage. Analyze test results, identify root causes, and drive resolution of issues. Mentor junior engineers and contribute to team leadership. Communicate effectively with stakeholders to report progress, risks, and quality metrics. Support manual testing and articulate complex requirements for test case creation. Required Qualifications: 8 years of experience in test automation and quality engineering. Strong experience with Playwright (TypeScript), Selenium (Java), and integration testing. Proven leadership and mentorship experience. Solid programming skills in Java, JavaScript, and C#. Experience with CI/CD tools and pipeline integration. Strong manual testing and API testing skills. SQL/ DB validation Excellent communication and interpersonal skills. Preferred Qualifications: Experience in life insurance, finance, or related industries. Familiarity with cloud environments (AWS) and cloud-native tools. Experience with BrowserStack or similar cloud services. Strong soft skills and ability to mentor within a POD structure. Experience with low code solutions such as TOSCA and MABL Team & Culture: POD structure with 4–5 POD leaders and general testers. Emphasis on leadership, mentorship, and communication. Collaborative, fast-paced environment with a focus on innovation. Pay Rate: $54.54/Hour If hired, you will enjoy the following ECLARO Benefits: 401k Retirement Savings Plan administered by Merrill Lynch Commuter Check Pretax Commuter Benefits Eligibility to purchase Medical, Dental & Vision Insurance through ECLARO If interested, you may contact: Melissa Francisco Melissa.Francisco@eclaro.com 6468495125 Melissa Francisco | LinkedIn Equal Opportunity Employer: ECLARO values diversity and does not discriminate based on Race, Color, Religion, Sex, Sexual Orientation, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status, in compliance with all applicable laws.

Job Title: Application Architect II Location: Jersey City, NJ Duration: Contract - 12 months Pay Range: $69.99/hr (W2) Job ID: 373644 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Senior C++/C# Engineer for Trading Systems to join our dynamic team. The ideal candidate will have strong experience in electronic trading platforms, low-latency systems, and integration across Unix and Windows environments and a proven ability to support production trading platforms, collaborate with traders, and validate releases through application testing . Responsibilities: Provide Level 3 support for a low-latency electronic trading platform. Engage with traders in AMRS and coordinate escalations with the trading platform vendor. Manage applications and governance, including maintenance of trading feeds to surveillance and audit systems. Review and implement enterprise security mandates for trading applications. Perform QA activities, review application changes, and execute application tests for release validation. Support integration projects leveraging Java with the vendor's systems across Unix and Windows. Required Skills & Qualifications: Hands-on experience with electronic trading platforms and low-latency workflows. Integration and protocol expertise, with ability to debug in production-like environments. Development knowledge in C++, C#, and Java. Proficiency across Unix and Windows operating systems. Preferred Skills: Knowledge of futures and bonds contracts and market structure. Understanding of global markets and trading workflows. Top Soft Skills: Clear communication with traders and operations teams. Strong domain familiarity with trading systems for futures and bonds. Ability to operate under time-sensitive, high-pressure support conditions. Work Arrangement & Process: Start date: ASAP. Onsite requirement: 3 days per week in Jersey City, NJ (NJ2-525-17-01). Interview process: First round remote, second round onsite including traders. Glider: Candidate ID verification. Include current location and intended onsite location on resume. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume . Please include your current location and intended onsite location.

Career Gap? Outdated Tech stack? Lack of Interviews? Let’s Get you Hired with a Process Many job seekers assume their skills have expired simply because they’ve been out of the workforce or recently laid off. But the truth is, your foundation is still valuable — it just needs sharpening. Despite layoffs and market shifts, the tech industry still needs skilled developers. The challenge is proving you’re ready to contribute. Rejections can be discouraging, but they don’t reflect your true potential — they reflect your preparation. Re‑entering the tech industry can feel overwhelming, especially after a layoff or career gap. But you don’t have to do it alone. SynergisticIT gives you a fast, structured path back into the field. If you’ve been unemployed for 3–6+ months—or longer—you’ve probably seen how quickly the market can change. A career gap or an outdated tech stack can reduce callbacks, even when you have talent. Recruiters may assume your skills are outdated or your confidence is lower. But gaps don’t define ability. They simply require a strategy: refresh your stack, rebuild proof of work, and re-enter with structure. Since 2010, SynergisticIT has helped candidates return to the workforce and land full-time jobs at major employers—companies like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Citi, JPMC, Walmart Labs, Deloitte, and more—often with offers between $90,000 and $154,000 depending on role and expertise. Why gaps hurt—and how to neutralize them Employers worry about currency: are your tools current? Can you still perform? The solution is demonstrating recent, relevant work: projects, certifications, and interview readiness. JOPP helps you rebuild that proof and confidence systematically. Current role demand (expressed with variety) SynergisticIT commonly supports hiring pipelines for roles such as junior software programmer, Java full stack engineer, Python/Java developer, DevOps/cloud engineer, plus data-track roles like data analyst, BI analyst, data engineer, data scientist, and ML/AI engineer. The focus areas remain: Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI. Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Why programs don’t fix gaps Many candidates with gaps try “one more course,” but that rarely changes outcomes. Ideal candidates for gap-to-offer support Professionals returning after layoffs or personal reasons Candidates with limited recent experience but strong potential Recent grads who never launched properly International candidates on F1/OPT with timeline pressure SynergisticIT provides guidance around STEM extension and process support for H-1B/Green Card filing once employed (as applicable through employers). Want to see credibility and event participation? If you want to explore here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Discover JOPP: Job Placement Program Contact Us https://www.synergisticit.com/contact-us/ A gap isn’t the end of your career. It’s a chapter—and you can write the next one strategically. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume.

Software Engineer–New York, NY: Dsgn, dvlp, test, dploy AI & full stack s/w apps f/ Enterprise clients. Rsrch & aply cutng-edge technqs in data procesng, data structrs & dstrbutd systms dsgn. Reqd: Bachelr deg in Comp Sci. Atleast 2yrs prfesnl exp in B2B SaaS s/w & buldng s/w apps f/ financl wrkflws. Exp utlzng atleast one objct-orientd prgrmng langug (eg, Java, C++); wrkng w/rltnl d/bs (eg, MySQL, Oracle); mdrn AI modls includ trnsfrmrs, neurl ntwrks & LLMs; knwldg of US GAAP acountng princpls & ASC 606. Dmnstrtd exprtse in algrthm dvlpmnt thru’ acadmc or indstry publctns in areas s/as big data algrthms, dstrbutd systms or high-prfrmnce cmputng. salaryrange: $150,000 to $200,000/yr. Mst hv prf of legl authrty to wrk in US. Vist TABS Platform Inc’s careersite: https://www.tabs.com/careers, submt CV. Spcfy JobRef #: 20250691

THIS JOB DESCRIPTION WAS CREATED BY AI, REVIEW BEFORE POSTING Position: Software Engineer-Other - Intermediate Location: Jersey City, New Jersey Duration: Contract Job ID: 173622 Job Overview: We are seeking a skilled and motivated Software Engineer-Other - Intermediate to join our team. The ideal candidate will have a strong background in software development and a passion for creating innovative solutions. This role involves working on various projects, collaborating with cross-functional teams, and contributing to the development of high-quality software applications. Responsibilities: Design, develop, and maintain software applications in accordance with project requirements. Collaborate with team members to identify and resolve technical challenges. Write clean, efficient, and well-documented code. Participate in code reviews to ensure code quality and adherence to standards. Contribute to the development of technical documentation and user guides. Stay updated with the latest industry trends and technologies to enhance development processes. Qualifications: Bachelor's degree in Computer Science, Software Engineering, or a related field. Proven experience in software development, with a focus on intermediate-level projects. Proficiency in programming languages such as Java, Python, C++, or similar. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Familiarity with software development methodologies and tools. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit www.ptrglobal.com At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $60/hr - $70/hr The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 214-740-2424. To report any concerns, please email us at legal@pinnacle1.com

About the Company DigiPulse Technologies is a privately owned US-based IT Consulting company headquartered in New Jersey. We specialize in end-to-end technology consulting, enterprise application development, system integration, cloud engineering, and custom business solutions for Fortune 1000 clients across Financial Services, Banking, Insurance, Telecommunications, and Pharmaceutical sectors. Hiring – Sr. Software Engineer – C++ (W2 Only) | Hybrid Opportunities | Long Term Contract Locations (Hybrid): Jersey City, NJ ✅ H1B Transfer Support Available ✅ Immediate I-140 / Green Card Processing Support Responsibilities • 10+ years of hands-on software design and development experience., • Expertise in Java, C/C++, Python, and Linux., • Deep experience with low latency messaging systems (e.g., 29West, Kafka)., • Proficiency in KDB+ or other time-series databases., • Experience with Capital Markets or Brokerage systems, especially order management., • Solid understanding of the FIX protocol and FIX engines., • Familiarity with AI developer assist tools (e.g. GitHub Copilot)., • Experience with CI/CD tools such as GitHub, Maven, Jenkins, Artifactory, and uDeploy., • Hands-on experience deploying applications to AWS or other cloud platforms.

Senior Security Engineer – Secure Code Review 📍 New York, NY 🏢 On-site | Full-Time My client is seeking a Senior Security Engineer to join their Application Security practice. This role is ideal for a hands-on AppSec professional with a strong software development background and deep experience performing secure code reviews, analysing CVEs, and working with SAST and SCA tools in real production environments. Responsibilities • Perform manual and tool-assisted secure code reviews across Java and C#/.NET applications, • Analyse and triage vulnerabilities in open-source libraries and frameworks (CVE analysis), • Assess applications against OWASP Top 10 and identify exploitable security issues, • Provide developers with actionable remediation guidance and architectural recommendations, • Use AI-assisted code analysis tools to accelerate vulnerability detection and validate findings, • Support vulnerability management, risk assessments, and compensating controls such as WAF rules, • Research emerging open-source vulnerabilities and produce mitigation guidance Must-Have Skills • Hands-on experience with SAST and/or SCA tools (e.g. Checkmarx, SonarQube, Black Duck), • Real-world experience performing CVE analysis and exploitability triage, • Strong Java proficiency (JDK 8–21, Spring, Maven/Gradle), • Ability to review and understand complex codebases written by others, • Solid understanding of OWASP Top 10 and secure coding principles, • 5+ years in software development, application security, or both Preferred Skills • C#/.NET and ASP.NET Core experience, • DAST tools such as Burp Suite or OWASP ZAP, • Experience writing or validating WAF rules, • Secure SDLC, threat modelling, or security champion programmes, • Consulting or professional services background, • Cloud application security experience (AWS, Azure, or GCP), • Certifications such as CSSLP, GWEB, GPEN, or OSCP

Ready to build the future with AI? At Genpact, we don’t just keep up with technology—we set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions, we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Principal Consultant, Java Developer In this role, you will be responsible for coding and delivering high-quality deliverables, and should be willing to learn about new technologies. Responsibilities · Migrate existing legacy scenarios/processes to strategic architecture. · Understand and implement strategic solutions as well as identify tactical solutions when necessary. · Design and delivery of various alert generations, investigation, and case creation workflows. · Write code that accurately reflects the requirements and design documents. · Coach junior team members to maximize their performance and potential · Work with team leadership to further the technology-led transformation agenda · Proactively seek knowledge through external and internal sources · Leverage DevOps to automate application testing and deployments Qualifications we seek in you! Minimum Qualifications · BE/B Tech/MCA · Excellent written and verbal communication skills. Preferred Qualifications/ Skills · Commercial experience of core Java programming with strong proficiency · Experience of working with a functional programming language · Experience with Scala programming (or willingness on becoming an expert on it) · Fundamental knowledge of Microservices · Strong experience with distributed caching and relational databases, preferably with Sybase, Oracle, MSSQL · Good Exposure to middleware- MQ, Kafka · Experience of working in a Linux environment · Strong analytical and problem-solving skills · Strong oral and written communication skills · Excellent interpersonal skills and professional approach · Ability to work effectively in a global and dynamic team · Understanding of distributed system design and infrastructure · Experience in the full software development life cycle · Experience working in an agile team using Agile and DevOps practices & tools · Experience working with Continuous Integration systems · Experience with cloud-ready development, Docker containers · Experience with Confluent Kafka · Experience with Redis · Experience with automation and scripting languages (Python preferred) · Experience in Data Modeling The approximate annual base compensation range for this position is $60000 to $75000. The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant’s experience, knowledge, skills, and abilities; geographic location; and internal equity · Work-from-Anywhere Roles – “Los Angeles California-based candidates are not eligible for this role” · Location-based Roles (e.g., Richardson roles – metro area can be adjusted by role location) – “Los Angeles, California based candidates are not eligible for this role. area candidates are eligible for this role only.” Why join Genpact? • Lead AI-first transformation – Build and scale AI solutions that redefine industries, • Make an impact – Drive change for global enterprises and solve business challenges that matter, • Accelerate your career—Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills, • Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace, • Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build, • Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

Skill: NICE Engineer Location: Jersey City, NJ Salary: 110K-130K Job Description Must Have Technical/Functional Skill Genesys Cloud, NICE Call Recording, Nexidia Interaction Analytics, NICE/IEX Workforce Management, APA, Robotic Automation and Symon/KorkytWallboard technology Roles & Responsibilities • Extract, transform, and analyze data from SQL databases and other structured/unstructured sources., • Develop automated workflows and data pipelines using Python, Java, and PowerSh, • ell.Build, integrate, and maintain RESTful and SOAP API connections for data ingestion, exchange, and operational processes., • Perform data manipulation, cleansing, and merging across multiple datasets for analytics and reporting use cases., • Create dashboards and visualizations using Excel, Tableau, Power Bl, or equivalent visualization to, • ols.Collaborate with cross-functional teams including architecture, analytics, and business partners to define requirements and deliver scalable solutions., • Contribute to technical documentation, code repositories, and operational runbooks., • Working across business and technology to create the solution intent and our implementation Engineer vision for large complex solutions Integrate customizations with details filled in with emerging business requirements; ensure integrations are, modular, and designed to adapt easily., • Facilitate solution-driven discussions, lead the design of complex Solution Engineering, and find creative solutions through their knowledge of the domain, practical experiments, and Proof of Concepts (POCs), • Perform design reviews to ensure all non-functional requirements for a solution are sufficiently met (for example, security, performance, maintainability, scalability, usability, and reliability)This role ensures the solution is fit for purpose and use by collaborating with stakeholders, vendors/service providers, and evaluating the impact of strategic design decisions., • Knowledge of Genesys Cloud, NICE Call Recording, Nexidia Interaction Analytics, NICE/IEX Workforce Management, APA, Robotic Automation and Symon/KorkytWallboard technology., • Experience with comparable products of another/competing vendor would be acceptable., • Contributes to impact assessments to determine if FOS has a scope of work or opportunity when work is coming through the intake process.

Please send current resumes directly to bhagyashree.yewle@yoh.com Bhagyashree Yewle, Principal Lead Recruiter - YOH SPG https://www.linkedin.com/in/bhagyashreeyewle/ W2 Only Senior Performance Engineer - Final Onsite Interview Required NOTE: This is a senior performance engineer with solid hands-on experience in the development of performance test and not just solely testing strategy LOCATION: Hybrid Onsite in the office Monday through Friday every alternate week is MUST in Jersey City NJ W2 Only - 1099 or CTC candidates will not be considered. Candidates requiring visa sponsorship are welcome to apply! 1.) Strong Performance Testing experience (load, stress, endurance, spike, soak, volume, capacity) 2.) Have conducted this testing on services with low latency, high throughput, high volume requirements (trading services would be ideal) 3.) Strong understanding of JVM (services are Java Spring boot - solid Java Basics) 4). Strong familiarity with any cloud infrastructure – AWS 5.) Accustom to distributed cloud environments, containerized apps and container orchestration and collaborating with devops, cloudops, BE engineers to optimize performance and reliability of systems 6) Experience with profiling and instrumentation tools – Dynatrace/Datadog/AppDynamics Estimated Min Rate: $65.00 Estimated Max Rate: $80.00 What’s In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: • Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week), • Health Savings Account (HSA) (for employees working 20+ hours per week), • Life & Disability Insurance (for employees working 20+ hours per week), • MetLife Voluntary Benefits, • Employee Assistance Program (EAP), • 401K Retirement Savings Plan, • Direct Deposit & weekly epayroll, • Referral Bonus Programs, • Certification and training opportunities Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit https://www.yoh.com/applicants-with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh’s hiring clients’ preferences. To learn more about Yoh’s privacy practices, please see our Candidate Privacy Notice: https://www.yoh.com/privacy-notice

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. A little about us... Role: Java FSD-Gen AI Location: Addison TX/Charlotte NC/Jersey City NJ (Hybrid role 3 days/week from day1) Job Description :Role Summar yWe are seeking a highly skilled GenAI Engineer to design build and operationalize nextgeneration AI solutions leveraging Large Language Models LLMs AI agents RetrievalAugmented Generation RAG architectures and scalable cloud platforms This role requires strong handson expertise across AI concepts model integration data pipelines and MLOpsCICD with the ability to translate business problems into production grade AI system s Key Responsibilitie s:GenAI LLM Engineeri ngDesign develop and deploy LLMpowered applications using leading foundation models OpenAI Azure OpenAI Anthropic opensource LL MsBuild LLMbased AI agents capable of multistep reasoning tool use orchestration and autonomous workflo wsImplement and optimize agent frameworks LangChain LlamaIndex Semantic Kernel AutoGen CrewAI e tcEngineer robust prompting strategies memory mechanisms and toolaugmented reasoni ngRAG Knowledge Syste msDesign and implement RetrievalAugmented Generation RAG architectur esBuild embedding pipelines using vector databases FAISS Pinecone Weaviate Azure AI Search Chro maOptimize document ingestion chunking strategies metadata management and reranki ngEnsure accuracy relevance and performance of AIgenerated respons esMachine Learning Model Integrati onApply practical ML concepts including classification clustering ranking and similarity search where applicab leIntegrate traditional ML models with LLMbased systems for hybrid AI solutio nsEvaluate finetune and test models using appropriate performance metri csData Engineering Pipelin esDevelop and maintain data pipelines for structured and unstructured data using Python and S QLWork with large datasets APIs and streamingbatch processing framewor ksEnsure data quality lineage observability and governance within AI workflo wsMLOps CICD Productionizati onBuild CICD pipelines for AI and ML workloads including model versioning and automated testi ngDeploy AI services in containerized environments Docker Kubernet esImplement monitoring for model performance drift latency and co stEnsure security access control and compliance for AI syste msCloud Platform Engineeri ngDesign and deploy AI solutions on cloud platforms such as AWS Azure or G CPLeverage managed AIML services serverless components and scalable infrastructu reOptimize cost performance and reliability of AI workloa dsCollaboration Stakeholder Engageme ntPartner with product platform and business teams to translate requirements into AI solutio nsDocument architectures design decisions and operational runboo ksProvide guidance on GenAI best practices risks and responsible AI usa ge Required Skills Experie nceCore Technical Ski llsStrong proficiency in Python and working knowledge of SQLSolid foundation in AIML concepts with handson experience deploying mod elsProven experience with LLMs AI agents and agent framewo rksHandson expertise with RAG architectures and vector databa sesExperience implementing CICD pipelines for AI or ML syst emsStrong understanding of data pipelines and distributed data process ingExperience working on at least one major cloud platform AWS Azure or GCPPreferred Good to H aveExperience finetuning LLMs LoRA PEFT RLHF conce ptsFamiliarity with evaluation frameworks for GenAI hallucination testing grounding latency benchma rksExposure to governance security and compliance considerations for enterprise AIBackground in domains such as BFSI healthcare or regulated industr ies LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

Our client, a leading player in the enterprise technology sector is a Lead Cognitive Implementation Engineer to join their dynamic team. As a Lead Cognitive Implementation Engineer, you will be an integral part of the Embedded Services team supporting cutting-edge AI solutions. The ideal candidate will demonstrate strong leadership, problem-solving skills, and a passion for developing scalable AI architectures, which will enable you to thrive and make a significant impact within the organization. Job Title: Lead Cognitive Implementation Engineer Location: Remote Pay Range: Market Rate What's the Job? • Design and implement scalable cognitive solutions on the client platform based on architectural blueprints., • Define ontology strategies and orchestrate business processes to ensure seamless conversational AI experiences., • Lead development of cognitive modules and reusable ontologies to enhance system capabilities., • Collaborate with product engineering teams to develop custom AI solutions tailored to enterprise needs., • Mentor engineering team members and lead technical decision-making to uphold high standards of quality and performance. What's Needed? • Bachelor’s or Master’s degree in Computer Science or a related field., • 7+ years of experience in software engineering, with a focus on conversational AI and enterprise systems., • Proficiency in programming languages such as Java, JavaScript, Groovy, or Python., • Experience with REST API design, integration, and enterprise system architecture., • Strong leadership skills with the ability to mentor and guide technical teams effectively. What's in it for me? • Opportunity to work on innovative AI projects that shape the future of conversational technology., • Remote work flexibility to support work-life balance and personal growth., • Engagement in a collaborative environment that values diversity and inclusion., • Potential to lead future projects and advance your career within a forward-thinking organization., • Competitive pay rate aligned with your expertise and experience. Upon completion of waiting period, consultants are eligible for: • Medical and Prescription Drug Plans, • Dental Plan, • Vision Plan, • Health Savings Account, • Health Flexible Spending Account, • Dependent Care Flexible Spending Account, • Supplemental Life Insurance, • Short Term and Long Term Disability Insurance, • Business Travel Insurance, • 401(k), Plus Match, • Weekly Pay If this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you! About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells. ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands – Manpower, Experis, Talent Solutions, and Jefferson Wells – creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World's Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent.

About the Opportunity Our client is a leading $50B+ global enterprise investing heavily in modern data platforms, cloud technologies, and enterprise-scale digital transformation initiatives. They are seeking a DataOps Engineer to join a high-performing technology team responsible for supporting a critical enterprise data platform used by business stakeholders across multiple functions. This is a Contract-to-Hire opportunity with strong potential for long-term growth. Employment Requirements • Candidates must be authorized to work in the United States without sponsorship., • We are only considering U.S. Citizens and Green Card holders for this opportunity., • Candidates must be able to work directly on our W2., • No C2C, third-party vendors, consulting firms, or subcontracting partnerships will be considered. Position Overview As a DataOps Engineer, you will be responsible for supporting, enhancing, and maintaining enterprise data applications and reporting platforms. Working within a collaborative BizDevOps environment, you will partner with product owners, DevOps engineers, architects, and business stakeholders to ensure reliable delivery of data solutions while driving operational excellence. This role is ideal for someone who enjoys troubleshooting complex systems, optimizing data workflows, and supporting business-critical applications in a fast-paced enterprise environment. Key Responsibilities Application Support & Enhancement • Support and maintain enterprise data applications and reporting solutions., • Participate in application upgrades, enhancements, and continuous improvement initiatives., • Analyze and resolve technical issues while identifying opportunities for optimization. Build, Test, Deploy & Release • Follow established SDLC and ITIL processes using Agile methodologies., • Support software releases, patches, enhancements, and production deployments., • Ensure quality and reliability throughout the software delivery lifecycle. Incident & Ticket Management • Own assigned Level 2 and Level 3 support issues from investigation through resolution., • Troubleshoot application, integration, and data-related issues., • Meet established service level agreements (SLAs) and operational objectives. Data Integration & Pipeline Support • Support inbound and outbound data integrations., • Maintain and enhance ETL and data pipeline processes., • Monitor data quality, system performance, and operational workflows. Monitoring & Operational Excellence • Proactively monitor support queues, application health, and system performance., • Identify recurring issues and implement preventive solutions., • Participate in outage management and incident response activities. Stakeholder Collaboration • Work closely with business users, technical teams, and external partners., • Communicate effectively during planned and unplanned service interruptions., • Gather requirements and support solution delivery efforts. Documentation & Knowledge Management • Create and maintain technical documentation, knowledge articles, and operational procedures., • Contribute to continuous process improvement and operational maturity. Agile Delivery • Create and manage user stories, tasks, and backlog items., • Participate in sprint planning, reviews, and retrospectives., • Support ongoing product and platform enhancements. Required Qualifications • Bachelor’s degree in Information Technology, Computer Science, Engineering, Data Management, or a related field (or equivalent experience)., • 3–5 years of experience supporting enterprise applications, reporting platforms, or data solutions., • Experience with analytical and reporting tools such as Crystal Reports, MicroStrategy, Business Objects, or similar platforms., • Experience supporting data integration processes, ETL workflows, and data pipelines., • Strong understanding of relational databases and data management principles., • Experience working with cloud platforms such as AWS and/or Azure., • Experience with Agile delivery methodologies and ticket management tools such as Jira and Confluence., • Strong troubleshooting and problem-solving skills., • Excellent written and verbal communication skills., • Ability to work independently while collaborating effectively across cross-functional teams., • Strong organizational skills and ability to manage multiple priorities in a fast-paced environment. Preferred Qualifications • Experience supporting enterprise SaaS platforms in regulated or highly governed environments., • Knowledge of DevOps practices and CI/CD pipelines., • Experience with build and code quality tools such as Maven, Ant, SonarQube, or similar technologies., • Programming experience in Java or other object-oriented languages., • Experience facilitating workshops, requirements gathering sessions, or stakeholder meetings., • Experience supporting large-scale enterprise data platforms., • Experience working within globally distributed teams., • Strong understanding of data governance, data quality, and enterprise reporting best practices. What You’ll Get • Opportunity to support a highly visible enterprise platform., • Exposure to modern cloud, DevOps, and DataOps practices., • Collaborative team environment with strong leadership support., • Long-term career growth potential through a contract-to-hire pathway., • Competitive compensation and benefits., • If you’re passionate about enterprise data platforms, operational excellence, and building scalable solutions that drive business value, we’d love to hear from you.

LHH is seeking Human Resources Technology Data Engineer in New York, NY (Onsite). Job Title: Human Resources Technology Data Engineer Job Location: New York, NY (Onsite) Duration: 6+ Months (Multiple possible extensions) Pay Range: $60- $70/Hour Position Overview: We are seeking a Vice President, Engineering – HR Technology to lead the technical strategy, architectural direction, and delivery of HR, people operations, and workforce analytics data across the firm. This role serves as a senior technical partner to both HR and Technology leadership, bridging business priorities, and engineering execution. The ideal candidate is an experienced engineering leader with a strong hands on foundation, capable of translating complex workforce, compensation, and organizational requirements into secure, scalable technical solutions. The Vice President will guide architecture and implementation while partnering closely with HR and Technology stakeholders to ensure sensitive employee data is accurately modeled, responsibly governed, and reliably delivered in support of decision making, compliance, and long term business needs. The Successful Candidate Is Expected To: • Lead and build full stack, enterprise grade platforms using Python, Java, Spring Boot, ReactJS, and SQL/NoSQL databases, while remaining hands on with code., • Own and drive Low Level Design (LLD) and High Level Design (HLD) with deep understanding of distributed systems, data modeling, and integration patterns., • Architect and develop secure, compliant systems., • Design, build, and maintain scalable APIs that support internal and external consumers with high performance and reliability., • Drive non functional requirements including security, availability, scalability, resiliency, performance, and observability., • Lead engineering initiatives involving HR, people operations, and workforce analytics data, ensuring secure ingestion, modeling, governance, and integration of sensitive employee datasets across the firm’s technology ecosystem., • Partner with HR, Talent, and People Analytics teams to translate workforce planning, compensation, performance management, and organizational design requirements into scalable technical solutions and data products., • Implement robust data quality, lineage, and privacy controls for HR data, ensuring compliance with regulatory, contractual, and internal governance standards., • Partner with product, data, and HR stakeholders to translate investment and operational requirements into scalable technical solutions., • Provide strong technical leadership and hands on guidance across the full software development lifecycle., • Demonstrate an excellent understanding of data structures, algorithms, and system design tradeoffs. Qualifications: • Bachelor’s degree in Computer Science, Engineering, or a related field., • 5-8 years of professional software engineering experience., • Proven track record of hands on development in enterprise scale systems, preferably in HR., • Strong proficiency in at least one core programming language (Python or Java)., • Deep experience with relational databases, NoSQL stores, and complex query design., • Comfortable operating in fast paced, iterative environments, balancing delivery with long term architecture., • Experience working with HR, people operations, or workforce analytics data, including sensitive data handling, HRIS integrations (e.g., Dayforce, Culture Amp, etc.), and secure data exchange patterns., • Demonstrated ability to build or support platforms involving employee lifecycle data, compensation structures, organizational hierarchies, and talent management workflows. Preferred Qualifications: • Experience with cloud platforms such as AWS and/or Azure, including infrastructure as code and cloud native services., • Experience with modern data engineering stacks including Snowflake, PowerBI, and analytical data platforms., • Prior experience supporting HR operations technology platforms., • Working knowledge of HR Information Systems platforms., • Experience integrating HR data with enterprise analytics, financial systems, or operational platforms to support firm wide reporting, compliance, and workforce insights., • Strong stakeholder management and communication skills, with the ability to influence senior business leaders and align technology delivery with investment, operational, and people strategy priorities. If you have an interest in the Human Resources Technology Data Engineer role, please reply with a copy of your resume and let me know your availability for a quick discussion! Benefit offerings include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State, or local law; and Holiday pay upon meeting eligibility criteria. Equal Opportunity Employer/Veterans/Disabled To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to _ The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: • The California Fair Chance Act, • Los Angeles City Fair Chance Ordinance, • Los Angeles County Fair Chance Ordinance for Employers, • San Francisco Fair Chance Ordinance

Job Title: Big Data Engineer Consultant Jr. Company Description: Tech Consulting provides advanced technology consulting solutions tailored to help ambitious organizations excel in competitive markets. By connecting top-tier consultants with businesses looking for proven expertise, we enable companies to overcome complex challenges and achieve their goals. Our team specializes in sourcing, vetting, and onboarding the right experts for both short-term projects and long-term strategic roles. With a history of hundreds of successful engagements and a client-first approach, we deliver results that drive performance, scale, and success. Role Description: This is a full-time position, on-site role based in Atlanta, GA for the initial 2 months of your employment for training. After that it can be an all nationwide client placement. The Big Data Developer will design and implement scalable data solutions to process and analyze large datasets. Responsibilities include building and managing data pipelines, performing Extract, Transform, Load (ETL) processes, developing data models, and collaborating with cross-functional teams to ensure data accuracy and quality. The role also involves optimizing performance and troubleshooting data systems to support organizational goals. Biggest Catch about this Role? We don’t look for experienced people, we accept career shifters or inexperienced people as well who want to fast track their career! What we’re looking for is simple: commitment, drive, and the mindset of a game-changer. If you’re ready to build a career as a Big Data Engineer we’ll provide the training and support to get you there! Qualifications: • Minimum of 6 months to 1 year of any IT-related experience with data, • Willingness to under-go to training period before client placement, • Willingness to relocate for training and eventually client deployment, • Proficiency in programming languages such as Python, Java, or Scala, • Knowledge of distributed systems, Hadoop, Spark, or other big data frameworks is a plus, • Bachelor’s degree in Computer Science, Information Technology, or a related field, • Strong analytical and problem-solving skills What do we offe • r?Competitive salary packa, • geBenefits (Dental, Medical, PTO, and Life Insuranc, • e)Intensive Training Program (8-9 weeks of training) + ALLOWANC, • E!W2 position full-time and benefi, • tsRelocation assistance from training up until client placeme, • ntEnterprise Level Project Deployme, • ntProject Bonuse, • s!2 years contra ct

Please send current resumes directly to bhagyashree.yewle@yoh.com Bhagyashree Yewle, Principal Lead Recruiter - YOH SPG https://www.linkedin.com/in/bhagyashreeyewle/ Onsite 3 days per week in NJ or Boston MUST HAVE: Senior Full Stack Java Spring Angular Developer with AI Job Description: Full Stack Developer (2 Openings) We are looking for an experienced Java Developer to join our Ai Lab team, with a strong focus on AI?driven and data?enabled solutions. This role is ideal for a senior engineer who wants to remain hands?on while also having a real influence on technical direction, quality, and team growth. As a Senior Java Developer, you will play a key role in building and evolving applications, contributing to architectural decisions, and supporting less experienced engineers through mentoring and technical guidance. You will work closely with cross?functional teams, including Product Owners, Data Scientists, and Business Stakeholders, to ensure solutions deliver real business value. Key Responsibilities Design, develop, and maintain high?quality Java?based applications in a complex, distributed environment. Proficiency in modern front-end frameworks (React, Angular) and back-end technologies (Python, Java/Spring Boot, Node.js) to build scalable, end-to-end applications. Contribute to AI?enabled and data?driven solutions, working closely with data and product teams. Take ownership of features from requirements analysis through implementation, deployment, and production support. Participate in technical design and architecture discussions, influencing solutions and best practices. Perform code reviews and promote clean code, scalability, and maintainability. Act as a technical mentor for less experienced developers, sharing knowledge and setting development standards. Support application evolution by driving feature enhancements and technical improvements. Work with CI/CD pipelines and deployment processes to ensure reliable delivery. Troubleshoot, debug, and resolve complex issues in existing applications. Collaborate effectively in Agile, distributed teams (Scrum / Kanban). Familiarity with Retrieval-Augmented Generation patterns, embedding models, vector databases, and semantic search techniques to ground AI outputs in enterprise content. Experience working with large language models and exposure to agentic AI frameworks (e.g., LangChain, LangGraph, CrewAI) for building multi-step, tool-augmented workflows and autonomous AI agents Communicate clearly with stakeholders, helping translate technical topics into understandable outcomes and impacts. Technical Scope Core Java development Spring ecosystem: Spring MVC, Spring Data, Spring Security Web applications using Angular, TypeScript, RxJS, HTML, CSS SQL and NoSQL databases, with a strong focus on data modeling and performance Messaging queues and asynchronous processing Cloud development on OpenShift CI/CD pipelines and deployment automation Unix/Linux environments Agentic Frameworks (langchain, Langgraph, etc) Required Experience 5+ years of hands?on Java development experience Strong experience with Spring and enterprise?grade backend systems Solid understanding of design patterns and scalable architecture principles Experience with SQL and NoSQL databases and optimization techniques Experience with messaging systems Hands?on experience with Azure cloud services Experience working in Agile environments Strong problem?solving skills and ability to proactively identify risks High attention to code quality, reliability, and accuracy Leadership & Soft Skills Natural leadership mindset with the ability to mentor and support other developers Very good command of English (spoken and written) Strong communication skills and ability to collaborate with Product, Project Management, and senior stakeholders Analytical thinking and structured problem?solving approach Ability to prioritize tasks and manage delivery effectively Team?oriented attitude with a sense of ownership and accountability Estimated Min Rate: $65.00 Estimated Max Rate: $85.00 What’s In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: • Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week), • Health Savings Account (HSA) (for employees working 20+ hours per week), • Life & Disability Insurance (for employees working 20+ hours per week), • MetLife Voluntary Benefits, • Employee Assistance Program (EAP), • 401K Retirement Savings Plan, • Direct Deposit & weekly epayroll, • Referral Bonus Programs, • Certification and training opportunities Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit https://www.yoh.com/applicants-with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh’s hiring clients’ preferences. To learn more about Yoh’s privacy practices, please see our Candidate Privacy Notice: https://www.yoh.com/privacy-notice

Please send current resumes directly to bhagyashree.yewle@yoh.com Bhagyashree Yewle, Principal Lead Recruiter - YOH SPG https://www.linkedin.com/in/bhagyashreeyewle/ W2 Only Senior Performance Engineer - Final Onsite Interview Required NOTE: This is a senior performance engineer with solid hands-on experience in the development of performance test and not just solely testing strategy LOCATION: Hybrid Onsite in the office Monday through Friday every alternate week is MUST in Jersey City NJ W2 Only - 1099 or CTC candidates will not be considered. Candidates requiring visa sponsorship are welcome to apply! 1.) Strong Performance Testing experience (load, stress, endurance, spike, soak, volume, capacity) 2.) Have conducted this testing on services with low latency, high throughput, high volume requirements (trading services would be ideal) 3.) Strong understanding of JVM (services are Java Spring boot - solid Java Basics) 4). Strong familiarity with any cloud infrastructure – AWS 5.) Accustom to distributed cloud environments, containerized apps and container orchestration and collaborating with devops, cloudops, BE engineers to optimize performance and reliability of systems 6) Experience with profiling and instrumentation tools – Dynatrace/Datadog/AppDynamics Estimated Min Rate: $65.00 Estimated Max Rate: $80.00 What’s In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: • Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week), • Health Savings Account (HSA) (for employees working 20+ hours per week), • Life & Disability Insurance (for employees working 20+ hours per week), • MetLife Voluntary Benefits, • Employee Assistance Program (EAP), • 401K Retirement Savings Plan, • Direct Deposit & weekly epayroll, • Referral Bonus Programs, • Certification and training opportunities Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit https://www.yoh.com/applicants-with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh’s hiring clients’ preferences. To learn more about Yoh’s privacy practices, please see our Candidate Privacy Notice: https://www.yoh.com/privacy-notice

Kindly share your updated resume at your earliest convenience, along with a suitable time for us to connect over a call. I would appreciate the opportunity to understand your current situation, career goals, and specific preferences regarding your next opportunity. Overview We’re Hiring: Low Latency Java Algo Developer, Fixed Income Trading Location: New York, NY Knowledge/Experience: • Extensive Low Latency Java development experience in front office / trading required, • Rust experience is advantageous, • 15+ years of Strong software development fundamentals, data structures, design patterns, object-oriented programming, algorithms complexity analysis, • Extensive hands on coding experience in Core Java within low latency, high throughput distributed applications, • Experience with messaging technologies like Solace, Kafka etc., • Experience with Chronicle and/or Aeron, • Experience implementing and supporting market data processing applications and algorithmic trading strategies, • Experience building back-testing frameworks and historical data storages, • Basic Linux system performance tuning and monitoring, ability to troubleshoot performance issues within Java/Linux stack, • Working knowledge of no GC Java techniques and lock free thread safe algorithms, • Experience with Python, Spring, TDD, KDB or any other tick data storages, • Build tools, Gradle, git, TeamCity, Jenkins, artifactory, • Strong academic record, ideally with a Bachelor’s degree in Computer Science, Information Science, engineering or related technical or quantitative discipline Competencies: • Strong verbal and written communication skills; ability to communicate with business users, • Self-motivated individual with determination to achieve goals, • Willingness to learn, both technically and professionally, • Strong analytical and problem-solving skills, • Good team working skills and ability to work in a distributed global team environment, • Ability to work on a fast-pace environment, • Flexible and able to deliver quality results in the required timeframe Only candidates with strong practical understanding and real project exposure will be considered Feel free to apply on this position or DM me for the role assistance. Also, if this isn’t for you, kindly like or share to help spread the word.

Client Overview Our client is an innovative global financial services organization building next-generation AI-powered applications that leverage Large Language Models, Agentic AI frameworks, and cloud-native architectures. The company is focused on developing intelligent systems that automate complex business processes, enhance productivity, and improve customer experiences. We are seeking a Senior Full Stack Engineer (Agentic AI & Claude) to join our client's growing AI engineering team. This is an opportunity to join a highly collaborative engineering team working on cutting-edge AI initiatives with a strong path to permanent employment. Salary/Hourly Rate $70/hr - $125/hr Position Overview This Senior Full Stack Engineer (Agentic AI & Claude) will design, develop, and scale intelligent applications powered by large language models and agentic AI frameworks. The ideal Senior Full Stack Engineer (Agentic AI & Claude) will possess strong expertise across frontend and backend development, cloud-native architectures, and AI application development. This contract-to-hire opportunity offers the potential to convert into a permanent position based on performance and business needs. The Senior Full Stack Engineer (Agentic AI & Claude) will work alongside Product, Engineering, and AI teams to build innovative solutions that leverage advanced agentic architectures. This Senior Full Stack Engineer (Agentic AI & Claude) position offers exposure to cutting-edge AI technologies, enterprise-scale applications, and a clear pathway to full-time employment. Responsibilities of the Senior Full Stack Engineer (Agentic AI & Claude): • Design, develop, and maintain scalable full-stack applications using modern frontend and backend technologies., • Build Agentic AI solutions leveraging Claude and other LLMs to automate business workflows and enhance user experiences., • Develop AI orchestration pipelines, agent workflows, tool integrations, and memory management systems., • Create and maintain RESTful APIs and microservices supporting AI-powered products and services., • Collaborate closely with Product Managers, AI Engineers, Designers, and stakeholders to define requirements and deliver solutions., • Implement Retrieval-Augmented Generation (RAG) systems, vector search capabilities, and knowledge management solutions., • Optimize application performance, security, scalability, and reliability across cloud environments., • Participate in code reviews, architecture discussions, technical planning, and best-practice initiatives., • Stay current on emerging AI technologies, agent frameworks, and advancements in LLM capabilities. Required Experience/Skills for the Senior Full Stack Engineer (Agentic AI & Claude): • 5+ years of professional Full Stack Software Engineering experience., • Strong proficiency with JavaScript and TypeScript., • Experience with React, Next.js, Angular, or similar frontend frameworks., • Backend development experience with Node.js, Python, Java, or comparable technologies., • Hands-on experience integrating Anthropic Claude APIs into production applications., • Experience building Agentic AI workflows, AI agents, tool calling, function calling, and prompt engineering solutions., • Experience with RAG architectures, vector databases, embeddings, and semantic search., • Strong understanding of RESTful APIs, microservices, and distributed systems., • Experience with AWS, Azure, or GCP cloud platforms., • Familiarity with Docker, Kubernetes, CI/CD pipelines, and modern DevOps practices., • Strong problem-solving skills and ability to work in a fast-paced environment., • Excellent communication and collaboration abilities. Preferred Experience/Skills for the Senior Full Stack Engineer (Agentic AI & Claude): • Experience with LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, or similar AI orchestration frameworks., • Experience working with multiple LLM providers including Claude, OpenAI, and Gemini., • Knowledge of AI observability, evaluation frameworks, and model monitoring tools., • Experience implementing multi-agent systems and autonomous workflows., • Prior experience as a Senior Full Stack Engineer (Agentic AI & Claude) or in a similar AI-focused software engineering role is highly preferred. Education Requirements • Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field is required., • Equivalent professional experience will be considered in lieu of formal education. Benefits • Medical, dental, and vision insurance options available during the contract period., • 401(K) retirement savings plan eligibility., • Weekly pay., • Direct deposit., • Access to employee assistance programs (where applicable)., • Opportunity for conversion to a full-time employee based on performance and business needs., • Exposure to cutting-edge AI technologies and enterprise-scale projects., • Dedicated recruiter support throughout the engagement.

Please share the resume to : shashi.raj@yoh.com Senior Full Stack Engineer Hybrid Providence RI/ NYC/ Nashua NH area only, no relocation please W2 Only- C2C/C2H/1099 not allowed We sponsor for Eligible candidates • Expert full stack development experience building enterprise web and middle-tier applications, • Angular 20 and TypeScript experience, • Core Java with Spring / Spring Boot for API development, • Experience with Agile Scrum development, • Web services experience (e.g., JSON, XML, REST, SOAP, etc.), • AWS for cloud deployment/application management, • Containerization/orchestration and infrastructure tooling experience (Docker, Kubernetes, Terraform) Estimated Min Rate: $54.60 Estimated Max Rate: $78.00 What’s In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: • Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week), • Health Savings Account (HSA) (for employees working 20+ hours per week), • Life & Disability Insurance (for employees working 20+ hours per week), • MetLife Voluntary Benefits, • Employee Assistance Program (EAP), • 401K Retirement Savings Plan, • Direct Deposit & weekly epayroll, • Referral Bonus Programs, • Certification and training opportunities Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit https://www.yoh.com/applicants-with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh’s hiring clients’ preferences. To learn more about Yoh’s privacy practices, please see our Candidate Privacy Notice: https://www.yoh.com/privacy-notice

Please contact Renu Goel 857-207-2676 renu.goel@yoh.com USC and GC only Three days onsite per week NJ or Boston Job Description: Full Stack Developer (2 Openings) We are looking for an experienced Java Developer to join our Ai Lab team, with a strong focus on AI?driven and data?enabled solutions. This role is ideal for a senior engineer who wants to remain hands?on while also having a real influence on technical direction, quality, and team growth. As a Senior Java Developer, you will play a key role in building and evolving applications, contributing to architectural decisions, and supporting less experienced engineers through mentoring and technical guidance. You will work closely with cross?functional teams, including Product Owners, Data Scientists, and Business Stakeholders, to ensure solutions deliver real business value. Key Responsibilities Design, develop, and maintain high?quality Java?based applications in a complex, distributed environment. Proficiency in modern front-end frameworks (React, Angular) and back-end technologies (Python, Java/Spring Boot, Node.js) to build scalable, end-to-end applications. Contribute to AI?enabled and data?driven solutions, working closely with data and product teams. Take ownership of features from requirements analysis through implementation, deployment, and production support. Participate in technical design and architecture discussions, influencing solutions and best practices. Perform code reviews and promote clean code, scalability, and maintainability. Act as a technical mentor for less experienced developers, sharing knowledge and setting development standards. Support application evolution by driving feature enhancements and technical improvements. Work with CI/CD pipelines and deployment processes to ensure reliable delivery. Troubleshoot, debug, and resolve complex issues in existing applications. Collaborate effectively in Agile, distributed teams (Scrum / Kanban). Familiarity with Retrieval-Augmented Generation patterns, embedding models, vector databases, and semantic search techniques to ground AI outputs in enterprise content. Experience working with large language models and exposure to agentic AI frameworks (e.g., LangChain, LangGraph, CrewAI) for building multi-step, tool-augmented workflows and autonomous AI agents Communicate clearly with stakeholders, helping translate technical topics into understandable outcomes and impacts. Technical Scope Core Java development Spring ecosystem: Spring MVC, Spring Data, Spring Security Web applications using Angular, TypeScript, RxJS, HTML, CSS SQL and NoSQL databases, with a strong focus on data modeling and performance Messaging queues and asynchronous processing Cloud development on OpenShift CI/CD pipelines and deployment automation Unix/Linux environments Agentic Frameworks (langchain, Langgraph, etc) Required Experience 5+ years of hands?on Java development experience Strong experience with Spring and enterprise?grade backend systems Solid understanding of design patterns and scalable architecture principles Experience with SQL and NoSQL databases and optimization techniques Experience with messaging systems Hands?on experience with Azure cloud services Experience working in Agile environments Strong problem?solving skills and ability to proactively identify risks High attention to code quality, reliability, and accuracy Leadership & Soft Skills Natural leadership mindset with the ability to mentor and support other developers Very good command of English (spoken and written) Strong communication skills and ability to collaborate with Product, Project Management, and senior stakeholders Analytical thinking and structured problem?solving approach Ability to prioritize tasks and manage delivery effectively Team?oriented attitude with a sense of ownership and accountability Estimated Min Rate: $52.50 Estimated Max Rate: $75.00 What’s In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: • Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week), • Health Savings Account (HSA) (for employees working 20+ hours per week), • Life & Disability Insurance (for employees working 20+ hours per week), • MetLife Voluntary Benefits, • Employee Assistance Program (EAP), • 401K Retirement Savings Plan, • Direct Deposit & weekly epayroll, • Referral Bonus Programs, • Certification and training opportunities Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit https://www.yoh.com/applicants-with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh’s hiring clients’ preferences. To learn more about Yoh’s privacy practices, please see our Candidate Privacy Notice: https://www.yoh.com/privacy-notice

Investment Management | Equity Trading.

100% Remote - Gaming Industry - Be a part of something special! This Jobot Job is hosted by: Madeline Lazarus Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $70,000 - $90,000 per year A bit about us: If you want to be part of something special. Look no further! This role will play a critical role in ensuring the mathematical integrity of gaming technologies by jurisdiction regulations and technical standards through the analysis of source code and mathematical analysis. Sound like you? Please read on! Why join us? Be one of us at the best global professional service firms in the world! Flexible Working Environment Paid Time Off 401k Excellent Benefits Challenging problems to work on Job Details Job Details: As a Senior Test Engineer - Gaming, you will have the opportunity to be at the forefront of the technology and gaming industry. You will be part of a dynamic team responsible for testing and validating cutting-edge gaming technology and software. This role is perfect for someone who has a deep understanding of mathematics, gaming, and software testing, as well as proficiency in a variety of programming languages. As a senior member of the team, you will also provide leadership and guidance, ensuring the highest standards of testing are met. Responsibilities: • Develop and execute test plans to ensure that all objectives are met., • Implement and monitor test scripts to assess functionality, reliability, performance, and quality of the service or product., • Identify and remedy defects within the production process., • Collaborate with other engineers and product development teams during product design phase to understand product scope and then create appropriate test process and strategy., • Provide leadership and guidance to junior team members, fostering an environment of continuous learning and improvement., • Ensure all gaming software and systems comply with applicable regulations and standards., • Collaborate with mathematicians to understand the mathematical models used in our games and validate their implementation in code., • Utilize statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts. Qualifications: • Bachelor’s degree in Computer Science, Mathematics, Game Development, or a related field., • Minimum of 3 years of experience in a Test Engineer role or similar., • Proficiency in C++, C#, C/C++, and Java programming languages., • Experience with Windows, Unix, and Linux operating systems., • Strong knowledge of mathematical testing and statistics., • Experience in the gaming industry, including a deep understanding of gaming regulations., • Strong leadership skills with a dedication to driving and achieving results., • Excellent problem-solving and communication skills., • Strong attention to detail, with a logical and methodical approach to testing., • Experience working with mathematicians and understanding complex mathematical models., • Knowledge of software QA methodologies, tools, and processes., • Experience in writing clear, concise, and comprehensive test plans and test cases., • Passion for gaming and technology. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. 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Company Description Radish is committed to making quality medical care more accessible, aiming to improve employee health and satisfaction while reducing overall healthcare costs. Through innovative solutions, we support healthier workplaces and foster well-being among employees. By prioritizing accessibility and affordability, Radish transforms the way healthcare services are delivered and experienced. Role Description Radish Health is looking for a Principal Engineer to join our growing engineering team. In this role, you'll be responsible for designing, developing, and maintaining scalable applications and services. You'll lead technical solutioning efforts, make architectural decisions, and help define best practices to ensure long-term performance and reliability. You'll be instrumental in building and deploying AI/ML capabilities that directly impact patient care, clinical decision-making, and healthcare operations. This role will help integrate new technologies and oversee all engineering activities for the cross-functional team. This includes the consumer (patient)-facing experiences, clinical and administrative interfaces, and building out all underlying capabilities that support those experiences. Teams are small and agile, and the role is very hands-on, combining individual contribution with technical leadership. You'll play a key role in setting technical direction, mentoring and working with other engineers, and collaborating across teams to deliver impactful solutions. Responsibilities • Collaborate with team members and business stakeholders to understand requirements and develop effective technical solutions, • Lead and manage a team of onshore and offshore developers, providing technical leadership and mentorship, • Oversee the design, development, testing, and deployment of applications, • Deliver flexible and robust solutions that meet overall business objectives, • Participate in technical solution reviews and ensure implementation of best practices, • Perform hands-on solution design and develop proof-of-concepts for new features or technologies, • Implement and maintain modern DevOps practices to ensure smooth, automated delivery processes, • Leverage AI and automation technologies to optimize workflows, improve efficiency, and enhance product capabilities, • Build and optimize data pipelines that feed AI/ML models with healthcare data from multiple sources, • Continuously learn and stay current with emerging technologies, industry trends, and best practices to drive innovation and maintain technical excellence About You Operational Excellence - You have a deep understanding of software engineering best practices, including clean code, refactoring, complexity reduction, schema design, and Domain-Driven Design. You take pride in writing production-ready, high-quality, and maintainable code. Mission-Driven - You care deeply about improving healthcare and patient outcomes. You're excited to work at a company that is using technology to transform how care is delivered. Exceptional Communicator - You're able to clearly and effectively communicate complex technical ideas, whether in writing, on calls, or in collaborative sessions. You thrive in a remote-first environment and enjoy working closely with engineers, product managers, and other stakeholders. Execution-Oriented - You have a strong bias for action and delivering results. You don't wait for perfect conditions, you move things forward, overcome blockers, and get the job done. Data-Driven & Systems Thinker - You are a systems thinker whose happy place is imagining new ways of capturing and capitalizing on data. Where others see dormant, siloed information, you see the potential for AI/ML-powered insights, intelligent automation, and seamless integrations. You excel at designing end-to-end solutions that combine traditional data engineering with modern AI capabilities to create scalable, automated workflows that enhance healthcare delivery. Analytical Problem Solver - You thrive on breaking down complex technical challenges into manageable components. You approach problems systematically, use data to drive decisions, and can identify root causes quickly. You're comfortable working with ambiguous requirements and can design elegant solutions for intricate workflows. Requirements • Bachelor's or master's degree in Computer Science, Information Technology, or a related field, • Proven 6–8 years of software development experience, with at least 3 years in a team lead or technical leadership role, • Strong proficiency in C#, or alternatively Java or Node.js, with a solid understanding of object-oriented programming principles and design patterns, • Hands-on experience with .NET Framework/Core (including ASP.NET MVC, ASP.NET Core, Web API) or equivalent frameworks in Java (Spring, Jakarta EE) or Node.js (Express.js), • Strong database skills with expertise in SQL Server, including writing and optimizing stored procedures, functions, and views, • Proven experience building secure and performant RESTful APIs, • Proficiency in React.js for front-end development, • Solid knowledge of TypeScript and JavaScript, including ES6+ features and modern development best practices, • Understanding of UI/UX principles to collaborate effectively with design and deliver intuitive user experiences, • Understanding of software development lifecycle (SDLC) methodologies, particularly Agile, • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP), • Experience with key AWS services including IAM, Lambda, API Gateway, RDS, EC2, and S3 (or similar services in other cloud platforms), • Cloud certifications demonstrating expertise in cloud architecture and administration, • Experience with microservices architecture, • Strong experience with Git for version control and collaborative development workflows, • Hands-on experience with AI/ML technologies, including integrating and consuming AI APIs (OpenAI, Azure Cognitive Services, AWS Bedrock, etc.), building solutions using Retrieval-Augmented Generation (RAG) for knowledge systems, fine-tuning pre-trained models with specific datasets, and model experimentation, hyperparameter tuning, and performance optimization in production environments, • Exposure to data engineering practices, including building data pipelines for model training and inference, data preprocessing and feature engineering, and ensuring data quality and validation, • Understanding of security best practices, procedures, and policies Nice to Have • Experience building and deploying AI agents for healthcare workflows, including multi-step reasoning, tool integration, and autonomous task execution, • Familiarity with agent frameworks and orchestration platforms, • Knowledge of prompt engineering techniques and agent behavior optimization, • Experience with workflow automation platforms like n8n, • Experience with low-code/no-code platforms like Retool for rapid application development, • Experience with data warehouses like BigQuery, Redshift, or Snowflake, • Experience with containerization technologies like Docker Benefits • Flexible Paid Time Off (PTO), • Health, Dental and Vision Insurance, • 401(k) Retirement Plan, • Flexible Spending Accounts Additional Information • This is a full-time, hybrid position located within the United States. Team members are expected to work 3 days per week in our NYC office.

Net with some experience in core Java/Scala as well. Net and Core java and other scripting languages. Net and Java (Core) with API and microservice server-side development experience and 4-5 enterprise projects delivered.

We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. Lead Software Engineer, Full Stack (Java, Scala, AWS). Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full

A senior technical role within a cross-asset team developing high-performance Exchange Connectivity applications using distributed Java platforms for low-latency, high-throughput message processing.Develop distributed connectivity applications for multiple business areas.Design and implement low-lat

Advanced in one or more programming language(s)- Java. JavaScript, React, Angular, or similar) is preferred.

Senior Machine Learning Engineer (AI Foundations) 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. Capital One is accelerating the adoption of state of the art AI research to create simpler, safer banking experiences for over 100 million customers. The AI Foundations team spearheads this mission by developing advanced LLMs and autonomous agentic systems capable of complex reasoning and real world problem solving. Their comprehensive research framework prioritizes foundational model architecture, operational efficiency, and responsible AI practices to ensure all systems are trustworthy and scalable. What You’ll Do: 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 Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion 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: $161,800 - $184,600 for Senior Machine Learning Engineer New York, NY: $176,500 - $201,400 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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com 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 DescriptionSenior Backend Engineer Full-time New York, NY, US Exclusive confidential search — details shared with qualified applicants. Benefits You'll Love • Equity / ownership upsideBecome a Key Player as a Senior Backend Engineer You will help build the enforcement infrastructure that ensures AI-driven communication is safe and compliant, delivering low-latency, reliable systems used across the organization. You will work as an individual contributor with significant architectural ownership, collaborating closely with engineering peers and product stakeholders. Hybrid (3 days onsite) in the New York City area. Here's How You'll Make an Impact on the Team • Build the layer that connects AI agents and developer frameworks: proxies, SDKs, and agent tooling, • Own the policy backend, including connectors, ingest of rule sources and restricted lists, and the engine that tracks rule changes, • Build controls that determine what each agent is allowed to do, • Design and operate systems to meet low latency and high reliability under enterprise load, • Maintain a high bar for security and data protection when handling sensitive contentHere's What You'll Need to Be Successful in This Role, • 5+ years building and running production backends at scale, • Strong experience in a modern backend language (Go, Python, Java, or Node), • Solid knowledge of APIs, distributed systems, databases, queues, and caching, • Experience with cloud environments, containers, and CI/CD, • Focus on latency, reliability, and writing clean codeHere's What Else Might Help You Out, • Experience with low-latency or real-time systems, • Experience building SDKs, proxies, or developer-facing infrastructure, • Experience working with sensitive or regulated dataPay Range $160,000 - $180,000/year Ready to Make Your Mark? This role may fill quickly. Submit your resume to be considered. Apply with Pioneers here

Job Description At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. ClassPass offers thousands of fitness and wellness experiences worldwide, helping people lead active, balanced lifestyles. Our platform makes discovering and enjoying activities simple, personalized, and joyful—whether it's fitness classes, self-care sessions, a healthy lunch, or a new adventure. Join us in shaping healthier, more vibrant communities around the globe. Who we are: We're a passionate engineering team, developing and supporting a product where the majority of our users open the app more than 20 times per month. We are faced with an interesting set of technical challenges, and we believe in giving our engineers the autonomy to go and solve them. Much of our team comes from non-traditional computing backgrounds; we know that by bringing together a diverse set of voices we'll be able to build a better product, and a better company. We care less about what languages or frameworks you know, and care more that you are excited to work with highly impactful teams and be constantly learning. Our engineers work in cross-functional teams that are focused on impact, and movement between teams is encouraged. We work very closely with our brilliant product team to deliver a world class user experience, and ultimately to empower our users to live their fullest, healthiest lives. Your role: As an Engineering Manager at ClassPass, you'll lead a cross-functional team with strengths across mobile, backend, and platform, working together to drive expansion into new growth areas. This role sits at the intersection of product, data, and engineering, where experimentation and real user impact shape what gets built. You'll guide your team through complex technical challenges while setting a clear, long-term technical direction, balancing speed with sustainable architecture. It's a highly collaborative environment where iteration is key, and your ability to partner closely with product and empower your team will directly influence both the user experience and business growth. If you enjoy building high-impact products, leading thoughtful technical decisions, and working in a fast-moving, data-driven space, this is a great opportunity to grow both your team and your own leadership. You'll likely spend time working on: • Empowering your engineering team to deliver high levels of technical quality and business impact., • Recruiting a diverse team of engineers recognized as some of the best in the industry, from outreach to closing., • Managing a team of engineers and facilitating their career development through challenging responsibilities and constructive feedback., • Actively participating in strategic direction and product decisions for your team., • Contributing to engineering-wide initiatives as a member of ClassPass' engineering management team. About the right team member: You are an experienced engineer who has successfully transitioned into a people leader, passionate about creating impactful and high-quality mobile applications. You possess extensive experience in at least one aspect of developing a world-class mobile application and can effectively manage a high-performing team throughout the entire process. You'll thrive in this role with experience in: • 3+ years of direct management experience with an engineering team of at least 6 members with skills across the stack, • Experience in delivering high-quality frontends and/or mobile applications., • Established architecture and best practices for web or mobile applications and their backends., • Proven ability to establish and articulate a vision, set goals, and execute effectively. Technologies you'll be working with: We value adaptability and problem-solving over specific tools, but here's what you'll likely work with: • Kotlin / Java, • AWS (ECS, SQS, RDS), • Modern mobile development (Swift/SwiftUI, Android/Jetpack Compose) Pay Transparency It is Playlist's intent to pay all Team Members competitive wages and salaries that are motivational, fair, and equitable. The goal of Playlist's compensation program is to be transparent, attract potential employees, meet the needs of all current employees, and encourage Team Members to stay with our organization. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. The base salary range for this position in the United States is $151,000 - $201,000. The total compensation package for this position also includes a bonus target and a full benefits package. Have we piqued your curiosity? Sound like the role for you? We'd love to hear from you! Even if you're not 100% sure about potential fit, we still encourage you to apply. We're looking for the right person, not the perfect series of checkboxes. The Company is an Equal Opportunity Employer. We highly value diversity at our company and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics. By entering your email and phone number and submitting your application, you consent to receive emails, calls and SMS about your application and other roles at The Company, including by auto-dialer. Message and data rates may apply. Opt-out or text STOP to cancel at any time. If you are a California resident or reside outside the United States then by submitting your application you confirm that you have read, understood, agree and - where applicable - grant your prior, free, informed and express consent for the processing of your personal information, including sensitive personal information, as described in our California Applicant Privacy Notice or International Applicant Privacy Notice (as applicable).

Job Description At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. ClassPass offers thousands of fitness and wellness experiences worldwide, helping people lead active, balanced lifestyles. Our platform makes discovering and enjoying activities simple, personalized, and joyful—whether it's fitness classes, self-care sessions, a healthy lunch, or a new adventure. Join us in shaping healthier, more vibrant communities around the globe. Who we are: We're a passionate engineering team, developing and supporting a product where the majority of our users open the app more than 20 times per month. We are faced with an interesting set of technical challenges, and we believe in giving our engineers the autonomy to go and solve them. Much of our team comes from non-traditional computing backgrounds; we know that by bringing together a diverse set of voices we'll be able to build a better product, and a better company. We care less about what languages or frameworks you know, and care more that you are excited to work with highly impactful teams and be constantly learning. Our engineers work in cross-functional teams that are focused on impact, and movement between teams is encouraged. We work very closely with our brilliant product team to deliver a world class user experience, and ultimately to empower our users to live their fullest, healthiest lives. You'll likely spend time working on: • Empowering your engineering team to deliver high levels of technical quality and business impact., • Recruiting a diverse team of engineers recognized as some of the best in the industry, from outreach to closing., • Managing a team of engineers and facilitating their career development through challenging responsibilities and constructive feedback., • Actively participating in strategic direction and product decisions for your team., • Contributing to engineering-wide initiatives as a member of the Playlist engineering management team. About the right team member: You are an experienced engineer who has successfully transitioned into a people leader, passionate about creating impactful and high-quality web and mobile applications. You possess extensive experience in at least one aspect of developing a world-class products and can effectively manage a high-performing team throughout the entire process. You'll thrive in this role with experience in: • 3+ years of direct management experience with an engineering team of at least 6 members with skills across the stack, • Experience in delivering high-quality frontends or mobile applications., • Established architecture and best practices for web or mobile applications and their backends., • Proven ability to establish and articulate a vision, set goals, and execute effectively. Technologies you'll be working with: We value adaptability and problem-solving over specific tools, but here's what you'll likely work with: • Kotlin / Java / Javascript / Typescript, • AWS (ECS, SQS, RDS), • Modern mobile development (Swift/SwiftUI, Android/Jetpack Compose) Pay Transparency It is Playlist's intent to pay all Team Members competitive wages and salaries that are motivational, fair, and equitable. The goal of Playlist's compensation program is to be transparent, attract potential employees, meet the needs of all current employees, and encourage Team Members to stay with our organization. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. The base salary range for this position in the United States is $151,000 - $201,000. The total compensation package for this position also includes a bonus target and a full benefits package. Have we piqued your curiosity? Sound like the role for you? We'd love to hear from you! Even if you're not 100% sure about potential fit, we still encourage you to apply. We're looking for the right person, not the perfect series of checkboxes. The Company is an Equal Opportunity Employer. We highly value diversity at our company and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics. By entering your email and phone number and submitting your application, you consent to receive emails, calls and SMS about your application and other roles at The Company, including by auto-dialer. Message and data rates may apply. Opt-out or text STOP to cancel at any time. If you are a California resident or reside outside the United States then by submitting your application you confirm that you have read, understood, agree and - where applicable - grant your prior, free, informed and express consent for the processing of your personal information, including sensitive personal information, as described in our California Applicant Privacy Notice or International Applicant Privacy Notice (as applicable).

Job DescriptionBelvedere Trading is a leading proprietary trading firm with offices in Chicago, New York, Boulder, and Singapore. Our traders work hard to provide liquidity to the market through their market-making activities and are the masters of a diverse set of commodities, interest rates, exchange-traded funds (ETF), and equity index options. From the beginning, we began iteratively investing in our proprietary technology and committing to building our systems from the ground up. Our trading models and software systems are continually re-engineered, optimized, and maintained to stay on top of the industry. We operate best within a team environment where we challenge each other to deliver value consistently and share in the success of the company. We’re looking for a Senior Trading Software Engineer to help push the boundaries of our trading platform. You’ll work side-by-side with traders and quantitative researchers to design and evolve the infrastructure behind our automated options trading systems. Our core platform is built in Java, but we’re expanding into modern C++ to drive our strategies into new markets. This role will have a hand in everything from trading logic to system performance to FPGA integrations. We operate every day with rigorous code reviews, automated testing, and scalable best practices. If you love optimizing every microsecond, solving real-time problems, and building scalable, battle-tested systems, this role will keep you challenged and engaged every day.What you'll do • Solve low-latency trading problems and optimize performance-critical code., • Collaborate with fellow trading engineers to improve system performance and scalability., • Contribute across the tech stack: application development, network optimization, and platform tuning., • Partner with hardware and networking teams to drive low-latency performance gains., • Leverage data to drive decision-making and uncover optimization opportunities., • Design and implement performance-critical, low-latency solutions for real-time trading., • Continuously enhance our performance architecture to support evolving strategies., • Build new platform features and refine existing systems to meet the demands of high-speed trading.What you'll need, • Proven experience in full-cycle software development in trading or other high-performance domains, • 5+ years of professional experience in modern C++; Java experience is a plus, • Strong grasp of network programming (e.g., raw sockets, latency tuning, packet handling), • Demonstrated ability to debug, profile, and optimize complex systems, • A self-directed approach with the ability to identify and solve system issues without handholding, • Experience in fast-paced environments where reliability and performance are paramount, • A proactive mindset that anticipates risk, foresees performance bottlenecks, and proposes forward-thinking solutions, • A Bachelor's or Master’s degree in Computer Science, Engineering, or a related technical fieldAdditionally, certain positions at Belvedere Trading are eligible for discretionary bonuses. Our employees have access to a variety of benefits, which can be found on our website here.Work Schedule Belvedere Trading is supportive of a Hybrid work schedule requiring two days a week in either the Chicago, Boulder, New York, or Singapore offices during normal business hours. Women and underrepresented groups frequently apply to jobs only if they meet 100% of the qualifications.We encourage you to break that mold and apply. No candidate is perfect; all have a lot to offer. We welcome your application. Core ValuesThe secret to our award-winning culture is our Core Values: Team Belvedere, Me In Team, Own It, Iterative Innovation, and Passionate Discourse. We live and breathe these values every day. Our StanceBelvedere is an Equal Opportunity Employer and is committed to providing a non-discriminatory employment environment for its employees. Discrimination against employees and applicants due to race, color, religion, sex, national origin, disability, age, military, and veteran status is prohibited. Belvedere encourages initiatives to increase diversity and provide equal opportunity to all applicants and employees. Belvedere is committed to providing a positive environment in which team members are treated with respect, dignity, and courtesy. Our firm believes in a dynamic culture of inclusion and diversity, where people thrive on individual and organizational characteristics, values, experiences, and backgrounds. Please note that Belvedere Trading does not accept unsolicited resumes from search firms or employment agencies. Any unsolicited resumes will become the property of Team Belvedere. No phone calls, please. Any questions regarding the virtual recruiting process, please reach out to recruiting@belvederetrading.com. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description We are currently looking for a Software Engineer for Test who plays key role in supporting all phases of SDLC and also testing trading applications. You will be joining a lean QA team, and will have the ability to work across the entire technology organization to make a significant impact. To be successful in this role, you should have a keen eye for details, excellent communication skills along with Java programming and Linux experience and excellent business knowledge. If you’re up for working in a fast-paced environment and with a highly collaborative FinTech team changing Wall Street for the better – join us! What You’ll Do: • Review and analyze requirement specifications., • Collaborate with Product and Project managers to develop effective test strategies and test plans., • Write, Execute and Automate test scenarios and report bugs., • Work in close collaboration with development team to help reproduce the reported bugs and be able to retest, • Participate in code reviews, • Conduct End to End Integration testing and Implementation testing, • Work with cross functional teams to ensure quality throughout the SDLC., • Troubleshoot production issues and support deployments. You Have: • 5+ years of experience working as a QA engineer or similar role., • Experience with Trading Systems and FIX protocol a big plus, • Experience in project management and QA methodology, • 3+ years of Linux/Unix experience, • Beginner to intermediate knowledge in C++/Java and python, • Working knowledge of test management software, • Excellent written and verbal communication skills, • Strong analytical and problem-solving skills, • Bachelors/Master’s in Computer Science, Engineering or a related field.

Job Description Title: IT Software Engineer- Equities Cash- OMS DeveloperLocation: Chicago, IllinoisLevel: Associate Director Are you passionate about technology and bringing systems to life? Do you enjoy building close working relationships with your business and IT colleagues? We’re looking for someone like that to help us. This is a Server-side role involved in building core technology for Equities Front Office Applications. You will be focusing on direct development related activities such as coding, design, configuration management, and support. You will be a ‘hands on’ developer working within a small focused team with exposure to Equity personnel. You will be part of a development team that is an integral part of a high energy front-office environment.You’ll be working the Americas Cash Equities IT team in Chicago. We are a global team spread in APAC, UK and US. The role requires participation with different teams and our team members across those regions.Experience/qualifications:-Minimum 5 years of experience in core Java • Minimum of 5 years hands on experience with data structures, algorithms, and network programming using Java NIO, • Minimum of 5 years extensive development expertise in high performance, high availability, high throughout, high capacity, yet low latency, transaction-oriented, distributed system, preferably in a financial environment, • Minimum of 5 years' experience with order management systems or order state handling, • Minimum of 5 years' experience with development on a Unix and/or Linux environment, • In the case of clearly exceptional candidates some elements of the above will be flexible. You are: • Highly committed, and able to build very close working relationships with both the business and support teams.

Job Description Our client is a well-funded Fintech company headquartered in New York City, NY. They are currently looking for a Senior Software Engineer to work on-site in their Core Development team. This role requires 5 days / week on-site in New York City. Qualified candidates will have 5-10+ years of professional experience working as a Software Engineer including hands-on experience with Kotlin, (Java, Python), K8s (Kubernetes), Terraform, MySQL or PostgreSQL and cloud infrastructure (AWS, GCP), etc. Ideal candidates will have experience in fintech or early-stage technology companies and any experience with Temporal for workflow automation is a plus. BSCS required, advanced degrees are preferred. The Senior Software Engineer will participate in full life-cycle development of novel finantech producs, so any experience with trading systems or other fintech products is a plus. This position features competitive compensation, equity and benefits. Please send your resume to nyjobs@cypressg.com for consideration.