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Lead Machine Learning Engineer (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Enterprise Platforms Technology (EPTech) comprises many of Capital One’s most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Machine Learning Engineer (Intelligent Foundations & Experiences) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Machine Learning Engineer (ML Algorithms, Deep Learning, Python, AWS) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer San Francisco, CA: $211,000 - $240,800 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) * At least 3 years of experience designing and building data-intensive solutions using distributed computing * At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) * At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: * 1+ years of experience building, scaling, and optimizing ML systems * 1+ years of experience with data gathering and preparation for ML models * 2+ years of experience developing performant, resilient, and maintainable code * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience with distributed file systems or multi-node database paradigms * Contributed to open source ML software * Authored/co-authored a paper on a ML technique, model, or proof of concept * 3+ years of experience building production-ready data pipelines that feed ML models * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $158,600 - $181,000 for Senior Machine Learning Engineer McLean, VA: $158,600 - $181,000 for Senior Machine Learning Engineer New York, NY: $173,000 - $197,400 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Machine Learning Engineer (ML Algorithms, Deep Learning, Python, AWS) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) * At least 3 years of experience designing and building data-intensive solutions using distributed computing * At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) * At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: * 1+ years of experience building, scaling, and optimizing ML systems * 1+ years of experience with data gathering and preparation for ML models * 2+ years of experience developing performant, resilient, and maintainable code * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience with distributed file systems or multi-node database paradigms * Contributed to open source ML software * Authored/co-authored a paper on a ML technique, model, or proof of concept * 3+ years of experience building production-ready data pipelines that feed ML models * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Senior Machine Learning Engineer New York, NY: $173,000 - $197,400 for Senior Machine Learning Engineer Richmond, VA: $144,200 - $164,600 for Senior Machine Learning Engineer San Francisco, CA: $173,000 - $197,400 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Platform Engineer, Workday Integration (Extend) Do you love building and pioneering in the technology space? Do you enjoy solving complex technical problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs.We are seeking Platform Engineers who are passionate about developing highly-resilient, fundamentally-sound objects to support the Human Resource technology driving Capital One. As part of a team that’s leading the next wave of disruption on a whole new scale, you will play an integral part in advancing Capital One’s Human Resource Technology ecosystem and culture of technical excellence. You will champion automation of functional and technical processes and bring your expertise to drive innovative solutions. General Responsibilities: * Design, develop, test, and deploy custom applications and extensions using Workday Extend, including Workday Studio, Orchestrations, Workday APIs, and related technologies. * Collaborate with HR business partners, product owners, and other stakeholders to gather requirements, define technical specifications, and ensure solutions align with business needs. * Deliver solutions in Workday across HCM, Recruiting, Compensation, Payroll and Benefits through efficient and organized processes while maintaining high standards * Develop and maintain integrations between Workday and other internal/external systems using Workday Studio, Orchestrations, Enterprise Interface Builder (EIB), Core Connectors, and other integration tools. * Perform unit testing, system integration testing, and support user acceptance testing (UAT) to ensure high-quality and defect-free solutions. * Document technical designs, development processes, and support procedures. * Effectively communicate across team, Product Owner, stakeholders and influence solutions across business partners * Identify opportunities for process improvements, collaborate with HR partners to provide innovative ideas and insights to redesign business processes that will optimize business results. Basic Qualifications: * High School Diploma, GED, or equivalent certification * At least 4 years experience in platform engineering on HR platforms (Workday, Peoplesoft, or Successfactors) * At least 2 years of experience designing and developing integration solutions * At least 2 years of experience working with APIs within the Workday environment using REST or SOAP Preferred Qualifications: * Bachelor's Degree * 5+ years of experience working with Workday Human Resources modules including HCM, Payroll, Benefits, Recruiting or Talent and Performance Management * 3+ years of experience designing and developing integration solutions in Workday using Core Connectors, Workday Studio, Custom Reports or RaaS solutions * 3+ years of experience working with APIs within the Workday environment using REST or SOAP * Workday Integration Developer certifications * 1+ years of experience designing and developing solutions using Workday Extend * 1+ years of experience with AWS, GCP, Microsoft Azure or another cloud service * 2+ years of experience in Agile practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $127,500 - $145,500 for Senior Platform Engineer Chicago, IL: $115,900 - $132,200 for Senior Platform Engineer McLean, VA: $127,500 - $145,500 for Senior Platform Engineer New York, NY: $139,100 - $158,700 for Senior Platform Engineer Plano, TX: $115,900 - $132,200 for Senior Platform Engineer Richmond, VA: $115,900 - $132,200 for Senior Platform Engineer San Francisco, CA: $139,100 - $158,700 for Senior Platform Engineer Wilmington, DE: $115,900 - $132,200 for Senior Platform Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job DescriptionSenior Energy Engineer (Lead Engineer) This Jobot Job is hosted by: Tony Barhoum Are you a fit? Easy Apply now by clicking the "Apply Now" buttonand sending us your resume. Salary: $145,000 - $185,000 per year A bit about us: We are a Full-Service Engineering consulting firm offering a full life-cycle range of services from project development, HVAC/BAS control system design, Control System Optimization, project integration, and field engineering services. Our projects include major medical campuses, universities, pharmaceutical, hospitals and industrial players. We have been devoted to fulfilling our clients M.E.P. Engineering needs, providing architectural lighting & mechanical systems design, building commissioning services, technology systems design, life support systems engineering, and fire protection engineering. With two generations of technical expertise combined with our business partnerships and the latest in Software and MEP technology, have earned us the admiration of our industry, the respect of our partners and the loyalty of our clients. We believe that putting our employees first, is not only the right thing to do, but also gives us the competitive edge to ensure our clients have an excellent experience! Over the years our reputation for providing our people with the very best has caught the eye of some reputable clients who have chosen to use us as their primary firm! Some of these clients include Public & Private institutions, Google, Meta, Amazon, Local Utilities, City/State/Federal Projects, and many more! Why join us? Do you want to work with some of the best Clients in the world? We do too! • Meaningful Work!, • Competitive Base Salary!, • Competitive Bonus and Options Package!, • Complete Benefits Package!, • Flexible Work Schedules!, • Accelerated Career Growth!, • Fun Company Activities! Job Details Senior Energy Engineer (Lead Engineer) NYC We are seeking a Senior Energy Engineer capable of Leading Business Development efforts, assist engineering team providing project management oversight for services including energy audits, retro-commissioning, construction review, and Energy incentive program for local Utility, State & Federal (ConED, NYSERDA, etc.) Seeking a self-start and deliver high value to the client with minimal oversight from Project Managers and Senior Management. The Senior Energy Engineer is semi-autonomous who can collaborate directly with client stakeholders in Senior Management Positions on a daily basis. Qualifications • 10 year of Engineering consulting experience in Energy Efficiency sector., • Local Business Development experience within Energy Efficient, Decarbonization, Controls Markets., • PE, CEM, or other similar Energy/Engineering credentials., • Knowledge of Energy Audit and Retro-Commissioning process and practices., • Working experience with Building Management Systems/Building Automation Systems (BMS/BAS), • Working knowledge of NY/NJ utility incentive programs (ConEd, NYSERDA, NJ SmartStart), • Energy Project Finance and Funding Methods., • Hybrid Work & Flexible Schedules, • Competitive Salary & Bonuses, • Full Benefits Package Interested in hearing more? Easy Apply now by clicking the "Apply Now" 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.Company DescriptionJobot is on a mission to connect good people with good jobs. By combining AI-powered technology with the expertise of Jobot Pros, our experienced recruiters, we help you find career opportunities that align with your goals and values. Founded in 2018 and employee-owned since 2024, Jobot is committed to fostering a culture of kindness, respect, innovation, and connection. As an industry leader, we’ve been recognized as a top workplace by Forbes, Fortune, USA Today, and Staffing Industry Analysts (SIA). Ready to find a good job? Create your profile today at Jobot.com.

The Role As a Senior Blockchain Engineer on the Wallet Blockchain Platform team, you’ll get the opportunity to develop your skills and collaborate with engineers across Fidelity in a fun and dynamic environment. You will work closely with technical leaders and Architects to build a secure crypto platform utilizing modern software development practices The Expertise and Skills You Bring • Bachelor's degree in computer science or related field required, • 5+ years' experience in distributed systems development using object-oriented programming languages like Java, • Experience with blockchains such as Ethereum, Bitcoin, • Experience building resilient RESTful API using Java and Spring, • Proficient in databases and SQL, • An understanding of microservice architecture and twelve factor app patterns, • Ability to build reliable software that can withstand unreliable environments, • Unit and integration test automation using JUnit, • Experience building and deploying applications using continuous integration pipelines and automated deployment tools such as Jenkins Core, • Possess critical thinking skills to build end-to-end solutions, • Passionate and committed to learning new things and developing with the latest technologies and frameworks, • Work well in both a small agile team and independently, having a strong user focus, • Strong analytical and communication skills and the ability to handle multiple tasks at any given time, • Participate in engineering practices such as code and design reviews, environment strategy, and build and deployment pipelines, • Strong organization skills and attention to details, • Experience with AWS or other cloud platforms and containerization technologies such as Docker is a plus Fidelity Digital Assets, a Fidelity Investments Company, is developing a full-service enterprise-grade platform for storing, trading, and servicing digital assets, such as Bitcoin and Ethereum. Fidelity Digital Assets℠ adopts an entrepreneurial culture and startup approach while serving as one of the most innovative business units within Fidelity Investments. Our global, diverse team of hundreds of forward-thinking professionals lead with agility and creativity to build solutions that bridge the gap between traditional institutional investors and their exposure to digital assets. The firm’s tenure and experience across multiple business lines present our employees with unprecedented access to knowledge, technology, and resources that help our team reshape the future of finance. Within Fidelity Digital Assets, the Wallet Blockchain Platform Team is responsible for the backend services and APIs that support digital assets transactions on networks such as Bitcoin and Ethereum. The team will also lead tokenization efforts. The base salary range for this position is $97,000-$154,000 per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of ___ to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Information Technology

We are currently sourcing for a Vice President Trading Engineer for Crypto Trading to work in Jersey City, New Jersey. The Role Vice President Trading Engineer will be working in development and delivery of high quality, timely and maintainable software solutions in an agile environment which meet functional and non-functional business requirements. This role will involve partner & stakeholder engagement, design and release support. * Designing and implementing technology solutions for the Fidelity Digital Asset business * High Performance algorithms for trading / crypto trading * Working closely with our business partners to contribute to business-critical initiatives * Demonstrate software engineering excellence through continuous integration, continuous deployment, * Keeps current with IT blueprint, frameworks and technologies that would benefit us and improve our productivity; guides junior team members on technology * Collaborate with multiple stakeholders/large cross functional teams as part of work delivery * Follows practices and contribute towards innovative solutions to increase productivity * This is a hands-on role where you will write code for product features * Set technical direction for software developers by concluding design with other tech leads and architecture. The Expertise and Skills You Bring * Bachelor's degree in computer science or related field required * At least 12 years of software engineering experience * Strong background in designing and developing low latency trading systems. * Experience in building SOR, Algo engine, or exchange-connectivity for Equities or Crpto. * Experience using kernel bypass e.g., Solarflare OpenOnLoad. * Extensive experience with modern Java using zero GC pattern. * Highly proficient in ultra-low latency design patterns and optimizing trading systems. * Hands on experience with low latency messaging products, such as Aeron, Solace or 29West. * Knowledge of FIX protocols * Proficient in SQL and a working knowledge of relational and time series databases * Experience with designing APIs, distributed systems, asynchronous workers and resilient messaging services * An understanding of cloud-based deployments using Kubernetes and AWS * Ability to build reliable software that can withstand unreliable environments * Can provide leadership and mentorship across small, agile teams in a very collaborative environment where your ideas are welcome * Solid analytical, communication, and organizational skills * An interest in and experience with cryptocurrencies and a passion for keeping up to date in the space. * Have the drive and ability to deliver software with a high degree of automation * Proficient with version control systems and can handle development for multiple releases in parallel * Have the spirit and willingness to contribute to org level innovation * Have a learning mindset and is able to demonstrate versatility in addition to your specialization * Should have the ability to work effectively with both partners and project team members * Have Knowledge of Agile methodologies or iterative development processes * Have Knowledge of Acceptance test-driven development a plus. * Have Ability to take ownership * Coach team members and take accountability for the deliverables * Excellent collaboration and Interpersonal skills * Great attitude, being a mentor, team player and effective contributor * You have Focus on productivity * Experience in Capital markets or Crypto Currency specifically with exposure to Trading, Algo Trading. The Team Fidelity Digital Assets®, a Fidelity Investments Company, is developing a full-service enterprise-grade platform for storing, trading and servicing digital assets, such as Bitcoin and Ethereum. Fidelity Digital Assets® adopts an entrepreneurial culture and startup approach while serving as one of the most innovative business units within Fidelity Investments. Our global, diverse team of hundreds of forward-thinking professionals lead with agility and creativity to build solutions that bridge the gap between traditional institutional investors and their exposure to digital assets. The firm’s tenure and experience across multiple business lines present our employees with unprecedented access to knowledge, technology, and resources that help our team reshape the future of finance. As a Software Engineer you will be an integral part of the Trading team. You’ll get the opportunity to develop your skills, collaborate across Fidelity teams and continue to learn in a fun, collaborative, iterative, and rapidly changing environment. This is a hands-on role where you will write code for product features. It is a great opportunity to build secure, scalable, resilient cloud-based services utilizing modern software development practices. You will get the opportunity to develop your skills, collaborate across Fidelity teams and continue to learn in a fun, collaborative, iterative, and rapidly changing environment. The Fidelity Digital Asset® Trading Team is responsible for platform services and APIs that manage trading of crypto currency. Platform contains a crossing engine and a smart router that would connect and send client orders to other exchanges and liquidity providers. In addition to aggregating market data and routing orders the platform also includes multiple internal/external facing user interfaces and API and services to support the platform. The base salary range for this position is $140,000-$249,000 per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of ___ to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Information Technology

About Us! Vanderweil Engineers is a top ranked national full-service engineering firm specializing in MEP/FP, and technology services. Working in multiple sectors including Mission Critical Data Centers, Science & Technology, Academic, Healthcare and Commercial buildings. In our 75th year with a staff of 500+ located across nine offices, we are proud to be one of the leading independently owned engineering firms in the country. Some of the Responsibilities include: • HVAC Engineer - Science & Technology focus, • Understands Revit to allow leadership and direction for the designs team., • Assuring that tasks are complete, accurate and in accordance with good engineering practices., • Develop concept designs, researches equipment selections, infrastructure utility designs for air and water systems., • Knowledge and experience with calculations, equipment selection, ductwork distribution system, water system designs, boiler plants, chilled water plants, and construction documents, • Will attend field visits, meet with clients and vendors as necessary., • General coordination of specific design aspects into a project., • Will help develop and mentor junior and other team members., • Works closely with other disciplines on multi-discipline projects, mechanical, electrical etc. Essential Skills and Requirements • Bachelor of Science degree in Engineering., • FE/PE license preferred, • Professional commitment to sustainability is a plus, • 3-6 years’ experience., • Proficient in computer use and software’s including, but not limited to; AutoCAD, Revit, Excel, Word, Bluebeam., • This position will interact directly with clients, a business acumen mindset is necessary., • Strong communication skills required., • Ability to use good judgement and make decisions with authority. Our Flexible & Hybrid Work Culture We know that work/life integration is important to our employees.Our hybrid work style (up to 2 days remote per week) allows team members to have flexibility while building their skills through in-person exposure to industry experts. Our wellness programs prioritize our team members’ physical and behavioral health. We are an equal opportunity employer committed to diversity in the workplace.

Salesforce Engineer Job Description Position Summary • Design, build, and optimize Salesforce solutions for sales, commercial operations, and marketing teams., • Combine technical expertise with business acumen to deliver scalable, AI-driven solutions., • Support revenue growth, operational efficiency, and customer engagement through technical implementation., • Collaborate cross-functionally to translate business requirements into technical deliverables and ensure organizational adoption. Key Responsibilities • Solution Design & Development, • Architect, configure, and customize Salesforce applications to align with business goals., • Build scalable solutions using Apex, Lightning Components (LWC), Visualforce, and integration tools., • Design and maintain custom objects, workflows, validation rules, and automation., • AI & Innovation, • Implement and integrate Salesforce AI tools to drive data-driven insights and predictive analytics., • Deploy AI-based solutions to enhance lead scoring, pipeline forecasting, campaign effectiveness, and customer journey optimization., • Cross-Functional Collaboration, • Partner with business leaders to gather requirements, design solutions, and deliver measurable business outcomes., • Translate business requirements into well-architected solutions leveraging the Salesforce ecosystem., • Ensure end-user adoption through documentation, knowledge sharing, and training sessions., • Data Management & Integrations, • Maintain data integrity and quality across Salesforce and integrated systems., • Manage integrations between Salesforce and other enterprise applications (e.g., marketing automation, ERP, analytics)., • Support ongoing API development and middleware integrations., • Governance & Optimization, • Uphold Salesforce best practices, coding standards, and security protocols., • Monitor system performance and proactively recommend enhancements., • Provide tier-3 support for complex Salesforce issues. Qualifications & Experience • Education & Certifications, • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (preferred)., • Required Salesforce Certifications: Administrator, Platform App Builder, Platform Developer I., • Salesforce Platform Developer II certification (strongly preferred)., • Professional Experience, • 5+ years of hands-on Salesforce engineering/development experience., • Proven track record of designing and deploying scalable Salesforce solutions in support of commercial teams., • Strong experience with Apex, LWC, Visualforce, SOQL, APIs, and integration tools., • Demonstrated ability to implement AI solutions in Salesforce (e.g., predictive modeling) for commercially driven objectives., • Experience integrating Salesforce with marketing automation platforms (e.g., Pardot, Marketo, HubSpot)., • Skills & Competencies, • Strong problem-solving and analytical skills with attention to detail., • Excellent communication skills to interface with both technical and non-technical stakeholders., • Ability to work independently and in collaborative, fast-paced environments., • Experience delivering via Agile development methodologies (Scrum, Kanban) required.

Forward Deployed Engineer Location: NYC (Hybrid) Type: Full-Time About Us We’re building the AI Finance Analyst for healthcare operators—designed to help leaders at medical groups and health systems run their business with the same clarity and agility they expect in clinical operations. Our product acts like an embedded analyst, surfacing insights across service lines, contracts, and staffing—without needing deep technical or financial expertise. In less than a year, we’ve raised $7M from NEA, FPV, and Virtue. We’re now preparing to scale with the next wave of enterprise healthcare customers—and we’re growing the team to do it. About the Role At Translucent, Forward Deployed Engineers act as full-stack problem-solvers, working alongside enterprise customers to configure and deploy AI financial analysts in high-stakes operational environments. You’ll play a customer-facing technical role—translating the real-world complexity of provider organizations into system inputs our agents can understand and act on. You’ll work across data pipelines, business rule encoding, agent configuration, and prototype iteration. Your success means our customers trust the outputs and build habits around using our AI to run their business. Responsibilities • Lead the technical implementation of Translucent agents at healthcare provider organizations., • Translate business rules and financial models (e.g., service line mappings, cost structures, productivity logic) into structured inputs for our AI., • Collaborate directly with customers to validate outputs, customize workflows, and iterate on performance., • Work hand-in-hand with AI Engineers and Product to shape features based on customer deployment learnings., • Serve as the connective tissue between sales, success, and engineering to ensure high-trust launches., • Build robust integrations with various source of truth systems like data warehouses, and ERP systems., • Build a repeatable and scalable playbook for large enterprise deployments including onboarding, data integrations, and user education. What You Bring • 3–7 years of experience in implementation engineering, solutions architecture, or similar customer-facing technical roles., • Fluency in data manipulation and system integration (SQL, Python, APIs, ETL tools, GCP)., • Build a scalable and extensible data integration platform., • Experience working with or supporting FP&A, finance, or healthcare data systems., • Strong communication skills and the ability to lead complex technical conversations with enterprise customers., • You thrive in ambiguity and want to build, not just support, a product., • Bonus: Experience working with or supporting FP&A, finance, or healthcare data systems. Why Translucent: We’re building healthcare’s AI financial analyst. We help providers make faster, smarter, and more confident decisions without digging through dashboards or waiting on analyst teams. Backed by top-tier investors, our team combines deep healthcare expertise and technical excellence to reinvent how work gets done in healthcare systems.

We are seeking a skilled Machine Learning Engineer I to join our team in the SinAI Assurance Lab. The Machine Learning Engineer will play a key role in Machine Learning Operations and will be for designing, maintaining, and optimizing data infrastructure and model validation pipelines that ensure all AI systems, Generative and Non-Generative, deployed across the Mount Sinai Health System (MSHS) are rigorously validated for compliance, performance, and patient safety. You will work closely with AI product teams, clinical and technical stakeholders, DevOps engineers, and the AI Governance Committee to engineer scalable data flows that support model validation, real-time monitoring, and simulation-based testing environments. General Data Engineering • Build and maintain robust ETL pipelines for structured and unstructured clinical data from EHR, imaging, and text sources., • Design systems to automate data preparation, lineage tracking, and reproducibility for AI model inputs and outputs., • Develop data infrastructure for benchmarking and stress-testing models in clinical simulation environments., • Collaborate with DevOps and cloud teams to ensure deployment pipelines meet compliance and performance standards., • Set up and monitor model tracking infrastructure for evaluation metrics and drift detection., • Engineer and maintain pipelines that support pre-deployment model validation and post-deployment monitoring., • Collaborate with Data Scientists and Clinical Product Owners to validate data integrity, reproducibility, and fairness in AI workflows., • Ensure compliance with HIPAA, ethical guidelines, and institutional governance policies on sensitive health data use., • Effective communicate technical findings related to model and data integrity to governance teams, clinical stakeholders, and leadership., • Maintain clear and well-organized documentation of data workflows, platform architecture, and validation processes., • Help write internal reports on data infrastructure resilience, validation system status, and operational risk., • Stay informed on industry best practices in data engineering and healthcare-focused machine learning., • Possess an extremely flexible attitude. Willing to work with multiple types of technologies and languages with an open mind and without technology bias. Continuous interest in updating skill sets and knowledge of trends in the Big Data Technology space., • Work closely with cross-functional teams including data scientists, healthcare providers, and IT professionals to understand data requirements, develop solutions, and support data-driven decision-making., • Other duties as assigned Requirements • Bachelor's degree in Computer Science, Statistics, Mathematics, or related field; Master's degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Information Technology, Mathematics, Physics) is preferred., • 2+ years of experience in data engineering, software engineering, or machine learning., • Proficient in Python and SQL, • Proficiency in at least one cloud computing platforms (e.g., AWS, Azure, GCP), • Intermediate knowledge of Machine Learning, • Familiarity with ML lifecycle management tools (e.g., Kubeflow, Airflow), • Experience on deployment and operationalization of ML Systems, • Experience with monitoring tools for AI model tracking, • Understanding of DevOps principles, CI/CD pipelines, and containerization (e.g., Docker, Kubernetes), • Experience with version control systems (e.g., Git) Knowledge of big data technologies (e.g., Hadoop, Spark), • Strong problem-solving skills and ability to work in cross-functional teams Strength through Unity and Inclusion The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual. At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history. About the Mount Sinai Health System: Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children's Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally. Equal Opportunity Employer The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization. Compensation The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $109000 - $163695 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

Job DescriptionSalary: $75,000 - $130,000 New York Peace of Mind Technologies (POM), is currently searching for a qualified, enthusiastic, hard-working and driven A/V Systems Project Engineer that embodies POM core values to join our Company. About You You are driven and skilled at providing effective engineering and implementation of end to end execution for A/V system integration scope of works, including Design Review, Build, Quality Assurance, System Programming and Client Training for timely delivery and handover to the Client. About Us Peace of Mind Technologies, LLC (POM) is New Yorks premier systems integrator for security and surveillance technology. Specializing in high-tech systems, cloud-based software services and audio/video solutions for thousands of businesses, schools and properties in the greater New York Metropolitan area, POMs diverse client roster comprises a wide range of prestigious and well-known organizations. Founded in 2002, POM has handled more than 2,000 site installations, primarily focused on large offices, retail, hospitality, health care, education, and real estate (commercial, luxury residential and hi-rise). Roles & Responsibilities: Provide A/V engineering and design support services to Project Managers to ensure the timely delivery of scope of work. • Responsible for the implementation and commissioning of A/V systems (UC, VTC, signage, distributed audio, video wall processing) with functionality in mind for the end-user experience., • Following the lead of the assigned Project Manager, be responsible for the effective delivery of resources, scheduling, procurement, and implementation of complete systems., • Conduct routine site surveys and audits of premises and systems, identifying and quantifying shortcomings, make recommendations on resolution of issues., • Provide written reports, test procedures etc., and conduct field testing on new and existing systems and be responsible for commissioning of the complete scope of work., • Configure installations from the A/V design (from RFP or internal) in accordance with relevant statutes and codes and to do so in accordance with industry best practice; as well as work with control programmers to obtain new or existing Graphical User Interfaces (GUIs) for future servicing and troubleshooting (programming knowledge a plus)., • Occasionally assist pre-sale design and estimating in Bill of Materials formulation (as an engineering backstop)., • Commission A/V systems to satisfy all quality requirements and aid in support of hand-off to the A/V Service team. Desired Skills and Experience • 5 years + experience in installing, programming, training in A/V Systems., • Experience in the system design and implementation of A/V solutions and techniques., • Ability to read and design signal flows., • Proficiency in MS Word, Excel, PowerPoint. AutoCad and Visio is a +, • Willingness and ability to work flexibly and diligently as befits an important role within a fast growing division., • High level of self motivation and an ability to work with a high level of initiative., • Strong team player who can communicate effectively., • Ability to work with minimal supervision and work effectively in high pressure situations. Does this sound like you? Benefits Include: • Annual salary commensurate with experience., • Health benefits package (50% of premium is covered for health), • Voluntary dental, vision, disability and life insurance plans, • 401k plan with matching, • Generous paid-time-off policy, • 5 Paid Sick Days, • Pre-tax commuter benefit We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Job Description About the role As a Platform Engineer at Athena Intelligence, you'll play a crucial role in building and maintaining the foundation of Olympus and Athena, our core AI technologies that power our suite of AI-native applications. This position offers an exciting opportunity to work at the forefront of AI and enterprise software, creating the robust infrastructure and systems that enable our Product Engineers to develop cutting-edge AI-native applications. Core Responsibilities • Design, develop, and maintain the core infrastructure and services that form the backbone of Olympus and Athena, ensuring high performance, scalability, and reliability., • Build and optimize the underlying systems that enable seamless integration of AI models into our platforms, supporting the work of our Product Engineers., • Develop and maintain APIs, microservices, and data pipelines that facilitate efficient data processing, analysis, and AI model operations., • Develop advanced RAG systems including optimized embeddings and indexing., • Implement robust security measures and ensure compliance with industry standards to protect sensitive enterprise data., • Collaborate with AI researchers and data scientists to create efficient frameworks for AI model deployment and management within our platforms., • Continuously improve the development and deployment processes, focusing on automation, monitoring, and observability., • Deploy on customer networks, including AWS GovCloud, ensuring secure and compliant installations., • Work closely with Forward Deployed Engineers to understand client needs and provide the necessary platform capabilities to support AI-native application development., • Work with Product Engineers to provide building blocks for creating exceptional AI-native user experiences., • Participate in architectural discussions and contribute to the long-term technical vision of our platforms.

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. In order to transform how millions of users explore, interact with, and participate in live events worldwide, StubHub is seeking Senior Software Engineers to design and develop next-generation technologies and complex features. As a Senior Software Engineer, you will be at the forefront of tackling significant, ambiguous, and non-trivial challenges as a core contributor and innovator, bringing creative technical solutions to life. In order to ensure our company's success, our Senior Software Engineers must demonstrate initiative and enthusiasm for the problems they tackle. StubHub is committed to being a phenomenal and inclusive place to work. As a Senior Software Engineer, you will also be an advocate and mentor for your team members, displaying leadership qualities and being an example for those around you. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Santa Monica, CA or Aliso Viejo, CA. About the team The Design Systems team at StubHub builds the foundation for consistent, accessible, and high-quality user experiences across all platforms. As a senior engineer on the team, you'll help shape the system's architecture, establish standards, and drive adoption across the company. We work closely with Product Design, Brand, and Engineering to deliver a robust, reusable component library. Our stack includes React, TypeScript, Storybook, and Figma, with contributions that support both web and mobile platforms. This role is focused on the web, but you'll collaborate with teams working on mobile (React Native) to ensure design consistency across surfaces. You'll influence everything from design tokens and theming to documentation, CI/CD, and usage guidelines. What You'll Do: • Design, develop, test, deploy, and maintain impactful improvements across all StubHub's platforms and products, resulting in high-quality outcomes, • Collaborate with team members to ensure best practices across our code, • Manage individual initiative priorities, deadlines, and deliverables with your technical expertise, • Mentor other team members and help many increase their technical capabilities, fostering a culture of inclusion, results-oriented execution, open innovation, and limitless creativity What You've Done:, • 5–6+ years of frontend engineering experience, with 2+ years focused on design systems or reusable component libraries, • Strong skills in React, TypeScript, and Storybook, with experience building accessible, production-ready UI components, • Collaborated with designers to translate Figma libraries into scalable components, • Contributed to design tokens, theming, and component packaging, with familiarity in CI/CD workflows, • Maintained Storybook documentation using MDX and usage guidelines, • Implemented unit, integration, and e2e tests, and conducted accessibility and performance checks (e.g., axe, Lighthouse), • Mentored engineers and helped define frontend standards, patterns, and code review practices, • Accelerated Growth Environment: Immerse yourself in an environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Enjoy a rewarding compensation package that includes enticing stock incentives, aligning with our commitment to recognizing and valuing your contributions., • Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as needed.

Job DescriptionSalary: Senior Elixir Engineer at Vic.ai Remote Location: Remote This is a fully remote position, full-time, with flexible working hours and work arrangements. About Vic.ai Vic.aiis creating the Intelligent Accounting era, using artificial intelligence to automate accounting and provide advisory, business insight, and eventually businessforesight. Were a Series A stage start-up, founded by three Norwegian entrepreneurs and backed by renowned Silicon Valley investors (including Costanoa Ventures, Cowboy Ventures, and GGV Capital). Were US-based, but our team is global, from New Zealand to California. Were bringing AI to Finance and Accounting because the industry is ripe for automation and big-data insight and the market ishuge: $200B just in the US. Our main office locations is in New York. We have a well established remote-work culture, and over 50% of our team are working fully remote. We have a solid team of very experienced, yet humble, Elixir engineers, will you be our next team member? About you Youve been a software engineer for 5+ years, but youve been a tinkerer and a builder your whole life. Were a team of builderswhen we arent building Vic.ai, were tinkering with a personal project, contributing to open source, modding a drone, building a computer from components, etc. Were looking for an experienced developer who enjoys working with server-side technologies. You possess a good mixture of DevOps and application development skills and would like to build innovative solutions with experienced teammates in a flexible environment. You should have plenty of experience in building performant, easy to use, well-monitored, and well tested APIs, designing efficient data flows, communicating clearly, sharing knowledge, and questioning existing solutions. Youre ready for the next step in your career, ready to take on fast-moving challenges. Youre enthusiastic about AI and the possibilities it opens for software development and transforming traditional work. You aim at reaching greatness and delivering exceptional outcomes in your work. As a team player, you are not afraid of reaching out to your colleagues to discuss development challenges, especially when you are stuck trying to solve a specific issue. You are fluent in English. Job Requirements • Advanced Elixir programming experience is a must, • Solid understanding of working in Linux shells, • Ability to spin up servers, setting them up and make them available for application deploys, • Having great understanding of the value of automated tests, and ability to implement them across the whole stack, • Designing efficient deploy flows and continuous integration, • Solid knowledge of key-value stores, SQL, and relational databases; preferably PostgreSQL, • Ability to implement and maintain robust concurrent background job systems, having a grasp of concurrency patterns and message queues, • Fluent English, spoken and written, clear and effective daily communication with the team What youll do • Build and deploy high-uptime products and infrastructure as part of the Vic.ai platform, • Integrate Elixir systems with non-uptime-critical systems in Python, • Design and establish validation, testing, correctness, and resilience best practices across teams, • Ship products and services as part of a small, collaborative team, • Help establish engineering process, tools, and systems that will allow us to scale the code base, productivity, and the team Who we're looking for: • BS (or higher) in Computer Science or a related technical field, or equivalent technical experience, • 5+ years of relevant work experience, • Professional experience with Elixir programming language, • Track record of shipping high-quality products and features, • Ability to turn business needs into engineering solutions As an early employee, you'll be working with a small team of committed and talented engineers and having a large, long-term impact on technical design and engineering culture. We Offer We're not just fully remote, we also offer Competitive salary Generous vacation time, family and travel-friendly environment Work alongside an enthusiastic, collegial, and driven team in a highly meritocratic environment Above all, you should enjoy the journey. Our engineers are creative, technical, smart, and genuinely like each other. They enjoy the work they do, and so should you!

Job Description We are looking for a talented DevOps Engineer to join our US team and help power the next generation of enterprise AI. As our company delivers full-stack AI applications to some of the world’s leading financial institutions, your work will be critical in ensuring these solutions run flawlessly in the most demanding environments. In this role, you’ll provide technical leadership and hands-on expertise to keep our infrastructure secure, reliable, and high-performing. You’ll be responsible for optimizing deployments, identifying improvements, creating and executing upgrade strategies. Proven ability to deliver solutions that meet enterprise-grade requirements will be essential. You’ll collaborate closely with our engineering, product, and customer teams to streamline continuous delivery of software and AI applications. As we scale deployments across Google Cloud Platform, Microsoft Azure, Amazon Web Services, and on-premises environments, you’ll play a central role in maintaining, optimizing, and supporting the systems that make it all possible. This is an opportunity to work at the forefront of AI adoption in financial services, solving complex challenges and shaping the infrastructure behind innovative enterprise solutions. Responsibilities: • Implement and manage DevOps tools, processes, and infrastructure., • Collaborate with development and operations teams to design and implement continuous integration and deployment pipelines,, • Interact and collaborate with clients, to provide technical support and guidance to ensure their satisfaction, • Automate infrastructure provisioning, configuration, and monitoring., • Ensure high availability and performance of our software systems., • Identify bottlenecks and implement solutions to improve system performance., • Monitor and troubleshoot production issues and provide timely resolution, • Maintain and enhance system security and data protection measures. What You Have • At least 6 years of experience as Senior DevOps Engineer or a similar role, • Excellent knowledge of Cloud Services (GCP/Azure/AWS), • Experience deploying to on-prem hardware., • Experience with containerization technologies such as Docker and Kubernetes., • Experience with version control systems such as Git., • Strong skills in defining and implementing network architecture, IAM policies, HA setups and backups., • Expertise with Kubernetes and in any Continuous Delivery platform, • Proficiency in Linux and Bash, • Strong experience in setup and management of cloud architectures through Infrastructure As Code (Terraform), • Experience with Postgres DB and monitoring systems (Datadog, Elastic Cloud, Dynatrace), • Strong problem-solving and analytical skills., • Excellent communication and collaboration abilities., • Ability to multitask and prioritize tasks in a fast-paced environment., • Fluency in English What Would Be Nice To Have • Good knowledge of programming languages as Java, Python, Javascript, • GCP/Azure/AWS Certifications, • Previous experience in financial services sector Who You Are • Passionate about the digital world, • Problem solver, • Collaborative mindset Perks Domyn offers a competitive compensation structure, including salary, performance-based bonuses, and additional components based on experience. All roles include comprehensive benefits as part of the total compensation package. About Domyn Domyn is a company specializing in the research and development of Responsible AI for regulated industries, including financial services, government, and heavy industry. It supports enterprises with proprietary, fully governable solutions based on a composable AI architecture — including LLMs, AI agents, and one of the world’s largest supercomputers. At the core of Domyn’s product offer is a chip-to-frontend architecture that allows organizations to control the entire AI stack — from hardware to application — ensuring isolation, security, and governance throughout the AI lifecycle. Its foundational LLMs, Domyn Large and Domyn Small, are designed for advanced reasoning and optimized to understand each business’s specific language, logic, and context. Provided under an open-enterprise license, these models can be fully transferred and owned by clients. Once deployed, they enable customizable agents that operate on proprietary data to solve complex, domain-specific problems. All solutions are managed via a unified platform with native tools for access management, traceability, and security. Powering it all, Colosseum — a supercomputer in development using NVIDIA Grace Blackwell Superchips — will train next-gen models exceeding 1T parameters. Domyn partners with Microsoft, NVIDIA, and G42. Clients include Allianz, Intesa Sanpaolo, and Fincantieri. Please review our Privacy Policy here .

Job Description Senior PHP Engineer (Symfony) — You must be in Eastern Time, US About the Company Our client isn't just a 3PL*—they're a growth partner for ecommerce and DTC brands. Their AI-powered platform and network of owned & operated fulfillment centers help 1,500+ merchants stress less and grow more. With 2,500+ team members across five countries, they're building the fastest click-to-delivery and real-time inventory visibility with a merchant-first mindset. *Quick note: 3PL = Third-Party Logistics—they store inventory, pick/pack, and ship orders for ecommerce brands, powered by their own WMS and apps. Why Join * Global, owned network: 12+ fulfillment centers across the U.S., Canada, Mexico, U.K., and EU (no outsourcing). * Proprietary tech: AI-powered, real-time view of inventory & orders; robust internal platform used by associates, robots, pack stations, and conveyors. * Hands-on support: On-site teams at every facility; “mom-and-pop” care at global scale. * Transparent pricing: Predictable, all-in pricing; long-term partnerships. * Here for the long haul: $10M+ annual R&D investment; they open-source selectively and contribute back. Core Values Merchant-First • Own It • People Make the Company • Change the Score • Get Sh*t Done The Role You'll join the Product Development team to build and scale the backend that powers fulfillment—everything from order ingestion and wave planning to pick/pack/ship workflows, device clients, and integrations with autonomous robots and conveyors. You'll work U.S. hours (ET preferred) and partner closely with a seasoned global engineering org. Reporting to: Director of Engineering (Europe) Location: U.S. Remote (East Coast strongly preferred) Compensation target: $200k base DOE (plus standard benefits) Tech Stack * Core: PHP 8.3, Symfony 6, Doctrine ORM, MySQL 8, RabbitMQ, GraphQL, Elasticsearch * Infra: Docker, Kubernetes (AWS), Argo CD, GitLab CI * Quality/Obs: PHPStan, PHP_CodeSniffer, PHPUnit, custom phpstan rules & sniffs, >15k DB integration tests, E2E Cypress * Ops: DataDog, Sentry, Opsgenie; HA/failover/autoscaling What You'll Do * Design and implement high-throughput Symfony services and REST-like APIs used by web clients, iOS picker devices, micro-computer packers, and automation equipment. * Tackle concurrency and race conditions common in warehouse environments; write resilient code that behaves under load. * Optimize MySQL at terabyte scale (indexes, query plans, partitions) and tune RabbitMQ consumers for throughput and reliability. * Contribute to the monorepo (shared libs, CI checks, codegen, docs) and improve developer ergonomics. * Write reliable tests (PHPUnit + DB integration datasets) and participate in two-round reviews with QA/E2E verification. * Partner with TPMs and operations to turn floor feedback into shippable software—deployed multiple times per day with one-click Argo CD. * Help retire legacy, reduce tech debt, and raise bar on code health (static analysis, coverage, custom rules). Nice to Have * Deep Symfony internals; custom bundles/components * GraphQL schema design at scale; Elasticsearch relevance tuning * Event-driven design; idempotency patterns; exactly-once/at-least-once semantics * SRE/operability instincts (dashboards, SLOs, on-call rotation with Opsgenie) * Experience in WMS/3PL, ecommerce, or high-volume transactional systems How They Work (and what they're proud of) * Fully dockerized local dev; single-click, per-MR ephemeral clusters for CI testing. * Automated API docs for REST-like endpoints. * Renovate-bot and comprehensive security scans. * Open-source select tools and contribute back to the community. Impact in Your First 90 Days * 30 days: ship a meaningful feature/bugfix to production; add/extend tests; land a small performance win. * 60 days: own a service area; drive a schema/index change with measurable latency or throughput improvements. * 90 days: lead a cross-component change (e.g., queue topology + consumer tuning) that improves SLAs during peak. Interview Process * Take-home technical exercise + small code submission * 90-minute technical deep-dive with a senior engineer * ~3-hour panel with the broader team They move quickly. Note: they actively assess for authentic, original work (they can detect AI-generated submissions). Must-Have Qualifications * 5–10+ years building production PHP systems (3+ with Symfony preferred; strong Laravel ok if willing to switch) * Advanced SQL/MySQL skills (indexes, query plans, locking, transaction boundaries) * Experience with queues (RabbitMQ, Kafka, etc.) and distributed systems trade-offs * Proficiency with Docker, CI, code quality tooling, and rigorous automated testing * Clear communication, ownership, and a bias to ship—U.S. business hours Nice-to-Have Qualifications * Kubernetes on AWS; Argo CD; GitLab CI pipelines * GraphQL APIs at scale; Elasticsearch optimization * Warehouse/IoT device clients, automation, or robotics integrations * Observability (DataDog/Sentry), incident response, on-call participation

Job Description We are looking for a Junior Software Engineer (Backend) who is experienced and brings deep expertise in backend development. You will join a small, talented team and lead efforts to architect scalable solutions, drive technical excellence, and support our vision for a future where client plays a critical role in shaping the internet's evolution. Requirements • BS or MS degree in a STEM major or equivalent job experience required, • 2+ years of experience in software development and writing very high-quality code that is robust and easy to maintain, • Knowledge on how to build large scalable systems, • Knowledge and experience in identifying and solving issues with intricate, live software systems, as well as in-depth familiarity with contemporary software development processes such as continuous integration and continuous deployment., • Strong analytical and problem-solving skills, with an ability to troubleshoot and resolve data flow issues, • Develop new features and software improvements, • Test, deploy and debug backend API services, • Designing, building, and optimizing scalable data pipelines to process and integrate data from various sources in real-time or batch modes, • Write clear, tested, documented code, • Create and review technical design, code, and documentation, • Golang, Python, Redis Clusters, Kubernetes

Job Description Changing Healthcare For Good At Angle Health, we believe the healthcare system should be accessible, transparent, and easy to navigate. As an AI-native, integrated healthcare company, we are replacing legacy systems with modern infrastructure to deliver members and patients the care they need when they need it. If you want to build the future of healthcare, we'd love for you to join us. The Role As an early fullstack engineer at Angle, you'll be at the forefront of building and launching products that directly impact both our members and internal teams. This role offers the opportunity to work across the stack—developing seamless user experiences, designing scalable APIs, and optimizing performance for mission-critical applications. You’ll own full product lifecycles, from ideation and system design to implementation and iteration. Working closely with customers, designers, and non-technical stakeholders, you'll help shape intuitive solutions that solve complex challenges. Whether it's refining frontend interactions, optimizing backend logic, or architecting new features from scratch, your contributions will be instrumental in driving Angle’s success. This is an ideal opportunity for engineers who love working on both frontend and backend, thrive in fast-paced environments, and want to see their work make a real-world impact. If you’re excited to build at scale and move quickly while maintaining high-quality engineering, we’d love to meet you. This position is based in our NYC office. Core Responsibilities * Build high-performing customer facing and internal products * Design and build delightful and innovative products that will be used by a wide variety of users * Write quality, performant, well-tested code in Python (Django), React, and Typescript * Drive technical projects from conception to launch, including architecture, design, implementation, testing, and deployment Additionally, you * Will work directly with the Head of R&D to set the standard of high quality products * Are an independent working and self-starter * Seek to understand the business strategy and needs of our users * Are product minded – Willing to participate in product and engineering discussions What We Value * 4+ years of fullstack engineering experience * Strong experience with React JS and TypeScript * Experience with Figma or similar design tools * Experience writing automated tests (unit tests, integration tests) * Strong Python experience * Experience in deploying and maintaining enterprise-scale applications in production * Familiar with building user-facing UIs * Excellent communication skills across teams * Strong foundation in designing and building web applications The salary range for this job opportunity is $100,000 to $240,000 per year, which is the amount Angle Health anticipates paying for this position at the time of this job posting. The actual base salary offered may differ and will depend on various factors such as geographic location, skills, qualifications, and experience, as well as internal equity. * Competitive compensation and stock options * 100% company-paid health, vision, and dental insurance — for you and your dependents * Supplemental Life, AD&D, and Short-Term Disability coverage options * Discretionary time off — take the time you need, when you need it * Opportunity for rapid career progression * 3 months of paid parental leave, plus a flexible return-to-work policy (after 12 months of employment) * Equinox membership, Monthly MetroCard, and Annual Citi Bike coverage for NYC office employees * 401(k) retirement savings plan * Company-provided lunch and dinner for in-office employees * More exciting benefits coming soon! About Us Backed by a team of world class investors, we are a healthcare startup on a mission to make our health system more effective, accessible, and affordable to everyone. From running large hospitals and health plans to serving on federal healthcare advisory boards to solving the world's hardest problems at Palantir, our team has done it all. As part of this core group at Angle Health, you will have the right balance of support and autonomy to grow both personally and professionally and the opportunity to own large parts of the business and scale with the company. Angle Health is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Angle Health is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. ⚠️ A Note on Recruiting Outreach We’ve been made aware of individuals falsely claiming to represent Angle Health using lookalike email addresses (like @anglehealthcareers.com). Please note that all legitimate emails from our team come from @anglehealth.com. We will never ask for sensitive information or conduct interviews via messaging apps. Compensation Range: $100K - $240K

Job Description , on-site Job Title: Data Catalog Developer Company: Direct Recruit Agency Contract Details: Full-time, on-site We are seeking a highly skilled and experienced Data Catalog Developer to join our team at Direct Recruit Agency. As a Data Catalog Developer, you will be responsible for designing, developing, and maintaining data catalogs for our clients. This is a full-time, on-site position that offers a competitive salary and benefits package. • Expertise in Collibra is a must., • Will be building Collibra Data Catalog-, • Experience in the new Collibra software - Edge, • Top must-have hard skills:, • Expertise in Collibra Data Management, Data Asset, Data Governance, and BAU support of Collibra Data Catalog., • Edge Server experience is a must. Collibra Ranger certification preferred., • Top nice-to-have hard skills: Databricks, AWS ( S3, Glue, Aurora Postgres, Athena), SQL, • Top soft skills: Communication, Problem-Solving, Collaboration, Attention to Detail., • Team size: 10 Key aspects of the role:, • Development of Data Catalog, build Collibra workflows, and Integrate Edge server with various data sources, authentication, and access controls., • Day-to-day Expectations: Data Catalog build out, Metadata Synchronization, Lineage Harvester, • Interview Plan/Process: Two virtual Interviews and one final On-site interview, • Citizenship: USC only Your role as a Senior Data Engineer • Work on migrating applications from an on-premises location to the cloud service providers., • Develop products and services on the latest technologies through contributions in development, enhancements, testing, and implementation., • Develop, modify, and extend code for building cloud infrastructure, and automate using CI/CD pipeline., • Partners with business and peers in the pursuit of solutions that achieve business goals through an agile software development methodology., • Perform problem analysis, data analysis, reporting, and communication., • Work with peers across the system to define and implement best practices and standards., • Assess applications and help determine the appropriate application infrastructure patterns., • Use the best practices and knowledge of internal or external drivers to improve products or services. Qualifications: What we are looking for: • Bachelor's degree in Computer Science, Information Systems, or a related field, • Minimum of 3 years of experience as a Data Catalog Developer or in a similar role, • Hands-on experience in building ETL using Databricks SaaS infrastructure., • Experience in developing data pipeline solutions to ingest and exploit new and existing data sources., • Expertise in leveraging SQL, programming languages like Python, and ETL tools like Databricks, • Perform code reviews to ensure requirements, optimal execution patterns, and adherence to established standards., • Computer Science or Equivalent, • Expertise in AWS Compute (EC2, EMR), AWS Storage (S3, EBS), AWS Databases (RDS, DynamoDB), AWS Data Integration (Glue)., • Advanced understanding of Container Orchestration services, including Docker and Kubernetes, and a variety of AWS tools and services., • Good understanding of AWS Identity and Access Management, AWS Networking, and AWS Monitoring tools., • Proficiency in CI/CD and deployment automation using GITLAB pipeline., • Proficiency in Cloud infrastructure provisioning tools, e.g., Terraform., • Proficiency in one or more programming languages, e.g., Python, Scala., • Experience in Starburst, Trino, and building SQL queries in a federated architecture., • Good knowledge of Lake house architecture., • Design, develop, and optimize scalable ETL/ELT pipelines using Databricks and Apache Spark (PySpark and Scala)., • Build data ingestion workflows from various sources (structured, semi-structured, and unstructured)., • Develop reusable components and frameworks for efficient data processing., • Implement best practices for data quality, validation, and governance., • Collaborate with data architects, analysts, and business stakeholders to understand data requirements., • Tune Spark jobs for performance and scalability in a cloud-based environment., • Maintain robust data lake or Lakehouse architecture., • Ensure high availability, security, and integrity of data pipelines and platforms., • Support troubleshooting, debugging, and performance optimization in production workloads. If you are a highly motivated and skilled Data Catalog Developer looking for a challenging and rewarding opportunity, we encourage you to apply for this position. Join our dynamic team at Direct Recruit Agency and be a part of our mission to provide top-notch data solutions to our clients.

Job Description Software Engineer, Networking - Anza Who We Are At Anza, we're at the forefront of blockchain technology, developing the Agave client to enhance the Solana ecosystem — a blockchain designed for rapid growth without compromising security or scalability. We pioneer advanced solutions to meet the evolving demands of decentralized applications. The Role As a Software Engineer specializing in the networking stack, you will play a critical role in fortifying Anza's Agave client and the broader Solana network. Your work will directly contribute to the efficiency and reliability of our blockchain infrastructure, ensuring seamless communication and data propagation across the network. You will focus on the gossip protocol and block delivery mechanisms, ensuring they are optimized for performance, secure against potential threats, and scalable to accommodate future growth. Responsibilities • Develop and Optimize Networking Protocols: Design, implement, and optimize the gossip and block delivery protocols to enhance the overall performance of the Solana network., • Ensure Network Security: Identify and mitigate potential security vulnerabilities within the networking stack, ensuring robust protection against emerging threats., • Scalability and Performance: Work on improving the scalability of the network to handle increasing transaction volumes and node participation without compromising on performance., • Testing and Validation: Create and execute comprehensive tests to validate the reliability and efficiency of the networking stack, including stress tests, fault injection, and performance benchmarking., • Collaboration: Collaborate with cross-functional teams, including core protocol engineers, security experts, and infrastructure teams, to ensure the seamless integration and functioning of the networking components., • Experience: A Bachelor's degree in Computer Science, Engineering, or equivalent practical experience and 3+ years of hands-on experience with core infrastructure software and distributed systems., • Technical Expertise: Strong proficiency in systems programming languages such as Rust or C++. Experience with networking protocols and distributed systems. Deep understanding of TCP/IP networking, architecture, and principles underlying distributed systems., • Problem-Solving Skills: Ability to analyze complex systems, identify potential issues, and develop effective solutions., • Security Mindset: Knowledge of common security threats and best practices in network security., • Performance Optimization: Experience with performance profiling and optimization techniques., • Collaboration and Communication: Excellent teamwork and communication skills, with the ability to work effectively in a collaborative environment.Preferred Qualifications, • Familiarity with Linux, systems automation tools, and systems architecture., • A knack for designing secure protocols, software, and algorithms that minimize trust requirements. We're excited to welcome individuals who share our passion for pushing the boundaries of blockchain technology. If you're ready to take on the challenge and contribute to the next generation of blockchain infrastructure, we'd love to hear from you. The salary range for US-based candidates will be determined throughout the interview process depending on experience, skill, and location. Candidates should anticipate an annual base salary (not including incentive compensation or other benefits) of $150,000 USD to $275,000 USD.

Job Description CoreWeave is the AI Hyperscaler™, delivering a cloud platform of cutting edge services powering the next wave of AI. Our technology provides enterprises and leading AI labs with the most performant, efficient and resilient solutions for accelerated computing. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe. CoreWeave was ranked as one of the TIME100 most influential companies of 2024. As the leader in the industry, we thrive in an environment where adaptability and resilience are key. Our culture offers career-defining opportunities for those who excel amid change and challenge. If you're someone who thrives in a dynamic environment, enjoys solving complex problems, and is eager to make a significant impact, CoreWeave is the place for you. Join us, and be part of a team solving some of the most exciting challenges in the industry. CoreWeave powers the creation and delivery of the intelligence that drives innovation. What You'll Do To accelerate our datacenter deployments we are building a new team that will develop and maintain the BMC firmware we use to power our cutting-edge products. As a Firmware Engineer you will collaborate with a dynamic team to create robust, scalable, and high-performant firmware solutions. Your expertise will drive the innovation and functionality of our embedded systems, ensuring our products meet the highest standards of quality and reliability. If you are passionate about firmware development and eager to work in a fast-paced, challenging environment, we want you to join our growing team. • Develop and Maintain: Design, implement, and maintain firmware for embedded systems, specifically focusing on C/C++, OpenBMC, AMI MegaRAC, and SPX, • Collaborate: Work closely with cross-functional teams, including hardware engineers, software developers, and QA teams to ensure seamless integration of the functionality., • Troubleshoot:Identify and resolve firmware-related issues through rigorous debugging and testing processes., • Optimize: Enhance firmware performance, reliability and scalability by implementing best practices and innovative solutions., • Document: Create and maintain comprehensive documentation for firmware design, coding standards, and testing procedures., • Experience: 5+ years of experience in firmware development using C/C++. Good understanding of DMTF's Redfish APIs and experience working it. Strong understanding of OpenBMC and AMI MegaRAC and SPX., • Education: Bachelor's degree in Computer Engineering, Electrical Engineering, or a related field., • Skills: Proficient in embedded systems programming, debugging tools, and version control systems like Git., • Problem-Solving: Excellent analytical and problem-solving skills, with a keen eye for detail., • Communication: Strong verbal and written communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders., • Advanced Degree: Master's degree in a relevant field., • Industry Experience: Previous experience in the data center, telecommunications, or consumer electronics industries., • Leadership: Proven track record of leading technical projects and/or teams., • Certifications: Relevant certifications in firmware development or embedded systems. What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Mission Speechify is the easiest way to listen to the world's information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster. What streaming services have done for audio entertainment, we're doing for audio information. And whatever we're doing seems to be working. We're #1 in our category, and experiencing exponential growth. Overview We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify's product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience. What You'll Do • Collaborate with Speechify's Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK, • Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms, • Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable., • Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time, • Focus. We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads down, • Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs, • Preferred Tech Stack:, • Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform), • A fast-growing environment where you can help shape the company and product., • An entrepreneurial-minded team that supports risk, intuition, and hustle., • A hands-off management approach so you can focus and do your best work., • An opportunity to make a big impact in a transformative industry., • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture., • Opportunity to work on a life-changing product that millions of people use., • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more. Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job Description Vanderweil Engineers is a top-ranked national engineering firm specializing in MEP/FP, Power, and technology systems for a wide range of market sectors. In our 75th year in operation with a staff of 500+ located across nine offices, we are proud to be one of the leading independently owned engineering firms in the country. Our Power Group provides full-service engineering and design solutions for utility, institutional, and commercial clients across the U.S., with a strong focus on reliability, sustainability, and innovation. As part of our continued growth in the Transmission & Distribution sector, we are seeking a highly motivated and experienced Lead/Senior Substation Electrical Engineer to join our multidisciplinary team. This is an opportunity to work on critical infrastructure projects and contribute to the safe, efficient, and resilient design of high-voltage substations that support the nation's energy transition. Position Summary: The Lead/Senior Substation Electrical Engineer is responsible for leading the design and delivery of high-voltage substation projects that power critical infrastructure across the country. This role involves overseeing complex technical work, mentoring junior engineers, and ensuring high-quality, code-compliant designs. This is an exciting opportunity for someone who enjoys solving technical challenges and is ready to take ownership of projects from concept through construction. At our firm, you will be part of a collaborative and innovative environment where your ideas and expertise are valued. You will have the chance to work on high-impact, technically demanding substation projects including greenfield EHV substations up to 500kV, brownfield retrofits in congested urban sites, complex bus reconfigurations under live conditions, and integrating advanced SCADA, automation, and communication systems. We offer clear paths for professional growth, leadership development, and the opportunity to directly impact our success as we expand into new markets and technologies. If you are looking to grow your career while making a real difference in the power industry, we would love to have you on our team. Some of your responsibilities include: • Lead the design and coordination of high-voltage substation projects (up to 500kV) through all phases from conceptual studies and preliminary design to construction documents and commissioning support., • Oversee the development of substation physical and electrical designs, including one-line diagrams, grounding, protection and control schemes, equipment layouts, and cable/conduit plans using Revit, Inventor, AutoCAD, AutoCAD-3D, and related tools., • Provide technical leadership for substation design activities, ensuring consistency with project scope, schedule, quality expectations, and applicable codes and standards., • Serve as the primary technical point of contact for clients and contractors, supporting scoping meetings, progress reviews, and field issue resolution., • Perform and review detailed power system studies such as load flow, short circuit, arc flash, relay coordination, and grounding analyses using ETAP, SKM, ASPEN, CYMCAP, CDEGS and similar platforms., • Prepare and review engineering reports, design calculations, equipment specifications, and construction packages including protection and control wiring diagrams and panel layouts. Essential Skills and Requirements: • Bachelor’s degree in Electrical Engineering (Master’s preferred), • Professional Engineer (PE) license required, • 8+ years of experience in substation engineering, including lead-level responsibility for both physical and protection/control design on utility-scale projects, • Proven expertise in high-voltage substation design (69kV to 500kV), with in-depth knowledge of equipment and control systems, strong understanding of laying out switchyards, electrical gear and spaces,, sizing branch circuits, laying out devices, lighting layout and circuitry including lighting controls., • Proficient in power system analysis software such as ETAP, SKM, ASPEN, CYME or CDEGS., • Experience with AutoCAD, AutoCAD-3D, Inventor and Revit for substation design and modeling; MicroStation or Bentley experience is a plus., • Strong organizational skills with the ability to manage multiple priorities and deliverables, • Experience mentoring or managing engineering teams on medium to large-scale projects Our Flexible & Hybrid Work Culture: We Know that work/life integration is important to our employees. Our hybrid work style ( up to 2 days remote per week) allows our team members to have flexibility while building their skills through in-person exposure to industry experts. Our wellness programs prioritize our team members physical and behavioral health. We are an equal opportunity employer committed to diversity in the workplace. The salary that we expect to pay for this position is commensurate with experience, education, licensure, skills, and location but may be in the $110,000 to $160,000 range. Please connect with us for more information.

Job Description SOFTWARE ENGINEER – NYC Hedge Fund J Harlan Group is currently conducting a search for a Software Engineer at a prominent NYC Hedge Fund. An individual that can build scalable and creative application solutions providing the firm with a distinct commercial advantage that will enable a host of opportunities that will differentiate the firm from their competitors. A seasoned and professional computer scientist with extensive technical experience in developing application technologies. Our client brings together some of the best minds in computer science, mathematics, physics, and engineering to work at the intersection of finance and technology. Members of their versatile technical staff exhibit a range of strong quantitative and programming abilities, with software developers and quantitative analysts collaborating on challenging problems that directly impact the firm's continued success. Quality and innovation are imperative for creating computationally intensive solutions for trading profitably in markets around the globe. Developers bring strong analytical, mathematical, and software design skills to a variety of projects, including the formulation of statistical models for our computerized trading strategies, distributed system development, real-time data analysis, and the creation of tools for advanced mathematical modeling. Technology is an integral part of virtually everything they do and their team enjoys access to some of the most advanced computing resources in the world. Successful candidates have traditionally been the top students in their programs and have extensive software development experience. Principal Responsibilities: • Formulate and implement statistical models that drive computerized trading strategies., • Design and build distributed systems to process and react to high-volume, real-time data streams., • Develop tools and infrastructure to support advanced mathematical modeling and large-scale data analysis., • A Computer Science “Rock Star” - A strong computer science and/or quantitative background, • Programming skills required - proficiency with one or more object-oriented programming languages, • Ability to craft creative (and practical!) solutions to problems and express those solutions in code., • Intellectual curiosity and flexibility. We are always learning and seeking out new ideas. An individual who loves solving deep and complex technical and business problems and wants to have an outsized impact with the products they build and deliver. An individuals with a passion for technology, high level of intellectual curiosity, a commitment to excellence and an unparalleled drive to deliver world-class technologies. If you or anyone in your network would be interested in this opportunity, please send resume to Jerry Goldberg at or directly contact us at (212) 792-0099 About the Client: The firm is a prominent multinational investment management firm. The company manages a variety of investment funds that make extensive use of quantitative methods and proprietary computational technology to support fundamental research in the management of its investments. They have a relentlessly focus on innovation and integration: innovation in new products, markets and businesses as well as new tools, models and technology management and performance structures; integration of fundamental research, quantitative strategies and technical analysis, all supported by an intensive focus on operational excellence and comprehensive risk management. The talent and dedication of their people is critical to their success. They offer an opportunity for developing one's professional career while working with individuals trained in a variety of disciplines in a collegial and dynamic environment. They offer a broad range of competitive benefits on a global basis Their culture rewards analytical rigor and adherence to the highest possible ethical and legal standards, and they've cultivated a collegial work environment that promotes collaboration across disciplines, geographies, and investment strategies. The firm has been built in part by attempting to do what other companies might consider impossible or never imagine at all. A single transformative idea that ultimately works—for a new business, a new trading model, or an improved back-office process—is worth a dozen ideas that lead nowhere. They've learned that when an extraordinary team sets extraordinarily ambitious goals, astonishing breakthroughs can be expected. They seek candidates who are high-energy self-starters who want to join an investment management firm on the leading edge of the global markets. The management team needs individuals of the highest professional caliber who are leaders, problem solvers, analytic, detail-oriented, and entrepreneurial. Everyone at the firm works side-by-side with the firm's senior partners in a highly collaborative and charged trading floor environment. Successful candidates are: • Analytic and relentless in pursuit of the right answer, • Strong communicators who excel at rapid synthesis, • Able to demonstrate sound business judgment, • Able to digest complexity while maintaining an understanding of the “big picture” of business needs, • Team players who are energized by a collaborative enterprise The firm's employees maintain the highest professional and ethical standards. The firm has earned a reputation for honesty, fair dealing, and transparency in a competitive industry. They believe that these standards are the foundation for superior investment performance and are critical to delivering performance to clients SALARY RANGE: The expected annual base salary for this position is $225,000. Actual compensation will be dependent upon the individual's skills, experience, qualifications, location, and applicable laws. Their compensation and benefits package include; • Variable Compensation: Substantial year-end bonus (guaranteed in first year)., • Additional Incentives: Sign-on bonus and relocation bonus., • Benefits Package:, • Medical and prescription drug coverage, • 401(k) contribution matching, • Wellness reimbursement, • Family building benefits, • Charitable gift match program

Job DescriptionBenefits: • 401(k), • Competitive salary, • Opportunity for advancement, • Training & development Job Type: W2 Contract Role, Full Time, On Site. Role is tied to a multi-year project contract. Industry: Information Technology / Data Engineering About Us At Red Hill Consulting LLC, we are more than just consultantswe are problem solvers, innovators, and strategic partners. With expertise in IT, governance, risk management, compliance, and business transformation, we help organizations navigate complexity and drive meaningful change. Our team specializes in delivering tailored, high-impact solutions that empower businesses to optimize processes, enhance security, and leverage data-driven insights. Whether it's implementing cutting-edge technology, refining operational strategies, or ensuring regulatory compliance, we take a proactive, hands-on approach to solving challenges. Rooted in our core values of Integrity, Innovation, and Excellence, we foster a collaborative environment where expertise meets execution. Our clients span industries such as finance, healthcare, government, and technology, and we pride ourselves on delivering measurable results that drive sustainable success. About the Role We are seeking a highly skilled Cloud Data Engineer to join a leading clients enterprise data engineering team. In this role, you will be responsible for designing, building, and maintaining large-scale data platforms, pipelines, and analytics systems that enable data-driven decision-making across the organization. This is a multi-year consulting engagement focused on modernizing enterprise data infrastructure by leveraging advanced Azure cloud services, data warehouse solutions, and DevOps practices. You will collaborate with architects, engineers, and business stakeholders to design and implement scalable data solutions that support analytics, reporting, and cloud transformation initiatives. This position is ideal for a senior-level engineer who thrives in hands-on cloud engineering, enjoys solving complex data challenges, and has a proven track record with Azure Data Factory, Azure Synapse, and enterprise-scale cloud data ecosystems. Key Responsibilities • Data Pipeline Development: Design and build scalable, high-performing data pipelines using Azure Data Factory, Synapse, and Azure Data Lake, supporting both batch and streaming data ingestion., • Cloud Platform Engineering: Develop and maintain enterprise-scale data platforms leveraging Azure IaaS/PaaS services, ensuring performance, scalability, and security., • Data Warehousing Solutions: Architect and optimize SQL Server-based and cloud-based data warehouses, implementing best practices in data modeling and integration., • DevOps & Automation: Implement CI/CD processes, infrastructure as code, and automation for seamless deployments and environment management., • Cross-Platform Expertise: Integrate solutions across Azure, AWS, and hybrid environments, providing architectural input for data movement and transformation strategies., • Advanced Analytics Enablement: Support downstream analytics platforms (Power BI, Azure Databricks, Spark, HDInsight) by designing efficient data structures., • Security & Compliance: Develop robust data security models and enforce governance across data pipelines and storage systems., • System Troubleshooting: Monitor and optimize pipelines, resolve performance bottlenecks, and troubleshoot complex data engineering issues., • Collaboration & Mentorship: Partner with stakeholders, guide junior engineers, and provide technical leadership throughout the project lifecycle., • Documentation & Training: Maintain comprehensive system documentation and deliver training for engineering teams and business users. Qualifications & Skills Education & Experience: • Bachelors degree in Computer Science, Engineering, or a related field., • 12+ years of experience in designing and developing enterprise-scale data warehouses and analytics systems in both cloud and on-premises environments., • Proven expertise in Azure cloud data services: Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, Azure Pipelines, and related IaaS/PaaS offerings., • Strong background in data modeling (Kimball and Inmon), ETL/ELT development, and pipeline orchestration., • Experience developing NoSQL solutions with Azure Cosmos DB and integrating with streaming data sources., • Proficiency in SQL Server (SSIS, SSAS, SSRS), T-SQL development, and query optimization., • Experience with DevOps, CI/CD pipelines, and Infrastructure as Code (IaC) practices., • Knowledge of Azure Databricks, Spark, IoT, and HDInsight is highly desirable., • Hands-on experience with C#, PowerShell scripting, and Python., • Strong understanding of data security models and compliance standards., • Excellent communication and stakeholder engagement skills, capable of working with both technical and business teams., • Strong analytical and problem-solving mindset with attention to detail., • Ability to mentor and lead junior engineers while delivering hands-on solutions., • Be part of a dynamic, mission-driven team that values innovation and strategic thinking., • Work on diverse, high-impact projects across multiple industries., • Opportunities for professional development and career growth., • Competitive salary and benefits package.

Job Description Job Code 1144 Department Name IT Reports To Assistant Director, Data Architecture & Data Governance FLSA Status Exempt Union Code N/A Management No About Us: Building Services 32BJ Benefit Funds (“the Funds”) is the umbrella organization responsible for administering Health, Pension, Retirement Savings, Training, and Legal Services benefits to over 100,000 SEIU 32BJ members. Our mission is to make significant contributions to the lives of our members by providing high quality benefits and services. Through our commitment, we embody five core values: Flexibility, Initiative, Respect, Sustainability, and Teamwork (FIRST). By following our core values, employees are open to different and new ways of doing things, take active steps to improve the organization, create an environment of trust and respect, approach their work with the intent of a positive outcome, and work collaboratively with colleagues. The Funds oversees and manages $9 billion of dollars in assets, which are made up of many, varied and complex funds. The dollars come from a number of sources, including the property owners who pay into the funds on behalf of their employees, and as such, requires those who oversee and manage the money to be highly skilled financial management people. For 2025 and beyond, 32BJ Benefit Funds will continue to drive innovation, equity, and technology insights to further help the lives of our hard-working members and their families. We use cutting edge technology such as: M365, Dynamics 365 CRM, Dynamics 365 F&O, Azure, AWS, SQL, Snowflake, QlikView, and more. Please take a moment to watch our video to learn more about our culture and contributions to our members: youtu.be/hYNdMGLn19A Job Summary: Reporting to the Assistant Director of Data Architecture & Data Governance, the Enterprise Data Architect & Modeler will lead the design, development, implementation, and management of our data architecture and modeling initiatives within the 32BJ Benefit Funds ensuring that data is organized integrated, and accessible across the organization. The Enterprise Data Architect & Modeler will develop enterprise data solutions that enable seamless integration, accessibility, and governance of critical data assets across hybrid cloud and on-prem environments. The ideal candidate will have hands-on experience in data modeling, data warehousing, and data pipeline development, working within Microsoft SQL Server, Azure, Databricks, and AWS ecosystems. This role will collaborate with IT teams and business stakeholders to build and optimize enterprise data models, ensure data integrity, and support master data management (MDM) and data governance initiatives. Essential Duties and Responsibilities: • Lead development of conceptual, logical, and physical data models that meet business and technical requirements while balancing normalization, performance, and maintainability., • Produce implementation artifacts (ER diagrams, dimensional models, data dictionaries, model change impact analyses) to guide engineering, analytics, and operations teams., • Apply modeling best practices and patterns (e.g., Type 2 Slowly Changing Dimensions, surrogate vs. natural keys) and define partitioning, indexing, and retention strategies to optimize query and storage performance., • Translate logical models into platform-specific physical designs for Microsoft SQL Server and cloud targets (e.g., Databricks Delta Lake), including recommendations for table design, materialized views, and aggregation layers., • Document architectural tradeoffs (performance, storage, consistency) and versioning/change-control for models., • Architect ETL/ELT and ingestion patterns for structured and unstructured data, including batch, and streaming (event-driven) approaches., • Define reusable integration templates and data contracts for source teams and downstream consumers; support ingestion from CRM, member portals, payroll/financial systems, and third-party APIs., • Specify orchestration and operational patterns (e.g., Azure Data Factory, Databricks Jobs) covering idempotency, retry/backoff, checkpointing, and partitioning for scale and recoverability., • Embed observability and quality: schema-evolution handling, automated profiling, validation gates, lineage capture, monitoring/alerting, and SLA definitions., • Advise on performance and cost tradeoffs (e.g., file formats such as Parquet/Delta, compaction, columnar storage) and recommend optimization strategies., • Design and operationalize MDM approaches to establish authoritative records and a Single Source of Truth (SSOT) for core domains (e.g., member, provider)., • Define entity resolution, deduplication, survivorship rules, matching confidence thresholds, and stewardship workflows for record reconciliation and updates., • Collaborate with Data Governance on metadata management, lineage, and data quality metrics (e.g., completeness, uniqueness, accuracy), and recommend remediation and monitoring strategies., • Ensure models and pipelines incorporate privacy, security, and compliance controls (e.g., PII tagging, RBAC, encryption), supporting applicable frameworks (e.g., HIPAA, SOC 2) where relevant., • Define stewardship roles, SLAs for issue remediation, and integration points between MDM and the business glossary/downstream consumers., • Translate complex data concepts into business-friendly terms to facilitate understanding across non-technical stakeholders., • Partner with business owners, analytics, engineering, and operations to translate requirements into data products and model designs; present tradeoffs and recommended approaches in business-facing terms., • Produce clear documentation and training artifacts (data dictionaries, runbooks, design briefs) to drive consistent adoption and model transparency., • Mentor and coach technical staff, data stewards, and analysts on modeling standards, architecture principles, and data literacy; support training sessions to increase adoption of governance practices, and promoting a culture of continuous learning., • Facilitate model reviews, architecture governance sessions, and stakeholder sign-offs for critical changes., • Research and evaluate new database, lakehouse, modeling, and integration technologies (e.g., improvements to Databricks, cloud-native warehouses) and lead POCs to validate technical and business value., • Advocate for DataOps/CI-CD practices around tests, automated deployments, and reproducibility for pipelines and model artifacts., • Conduct periodic architecture and model reviews, identify process/technology gaps, and lead initiatives to increase operational maturity, reliability, and scalability. Qualifications (Competencies): • 7+ years of hands-on experience in data architecture, data modeling, or data engineering in hybrid on-prem/cloud environments., • Deep experience across conceptual, logical, and physical modeling; dimensional modeling and OLAP/OLTP design patterns., • Excellent SQL programming skills and experience with Microsoft SQL Server, Azure Synapse, or AWS Redshift and experience with performance tuning (partitioning, indexing, query optimization)., • Practical experience building and supporting data warehouses and pipelines using Microsoft SQL Server and cloud platforms such as Azure (e.g., ADF, Synapse), Databricks, and AWS (e.g., Redshift, S3, Glue)., • Proven experience with ETL/ELT patterns, schema evolution handling, pipeline observability, and lineage., • Experience supporting MDM, metadata management, and compliance requirements., • Experience with orchestration/transformation tools (e.g., dbt, Airflow, SSIS)., • Basic knowledge of BI and reporting tools (Power BI, Qlik, Tableau)., • Familiarity with lakehouse patterns and file formats (e.g., Delta Lake, Parquet) and columnar warehouses (e.g., Redshift, Snowflake)., • Scripting/automation experience (e.g., Python) for prototyping and tool integration., • Strong understanding of data governance frameworks (DAMA DMBOK, DCAM) and metadata management principles., • Prior experience in regulated industries (healthcare, retirement/benefits, finance)., • Experience using Azure DevOps to manage Agile project work (sprint planning, backlog grooming, ticket creation/triage, and tracking). Soft Skills (Interpersonal Skills): • Strong verbal and written communication skills, with ability to present technical topics to non-technical stakeholders., • Detail-oriented with a passion for data accuracy and integrity., • Strong problem-solving and analytical abilities., • Ability to multi-task and work on multiple projects in a fast-paced environment. Education: • Bachelor’s degree in Computer Science, Information Systems, Data Science, or equivalent experience. Language Skills: Speak, read, write, and understand English. Reasoning Ability: High Certificates, Licenses, Registrations: • Microsoft Certified: Azure Data Engineer Associate is preferred but not required., • TOGAF, CDMP, or other relevant data architecture certifications are highly preferred. Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals to perform the essential functions. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals to perform the essential functions. • Under 1/3 of the time: Standing, Walking, Climbing or Balancing, Stooping, Kneeling, Crouching, or Crawling, • Over 2/3 of the time: Talking or Hearing, • 100% of the time: Using Hands Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. • 1/3 to 2/3 of the time: Work near moving or mechanical parts, exposure to radiation, moderate noise.

Job Description Head of Engineering & Infrastructure Location: Brooklyn, NY (Onsite, Full-Time) Compensation: $250,000 – $350,000 Company Overview We're a fast-growing fintech startup built for speed, precision, and performance. Our mission is to engineer technology that scales securely and compliantly while supporting rapid business growth. Every team member owns their impact. Every decision moves the company forward. If you thrive in a fast-paced, execution-driven environment and want to build systems, teams, and infrastructure from the ground up—this is your opportunity to lead at the center of innovation. Position Overview The Head of Engineering & Infrastructure will be responsible for architecting, leading, and scaling the company's technology platform. You'll oversee development, infrastructure, security, and compliance—ensuring every system supports both speed and stability. This is a hands-on, execution-focused leadership role for someone who combines deep technical expertise with strong regulatory awareness and the ability to build high-performance teams in a startup environment. The Ideal Candidate You're a builder, operator, and mentor—comfortable rolling up your sleeves while steering long-term technology strategy. You've led teams through high-growth phases, built scalable systems, and managed compliance without slowing momentum. You value structure, speed, and security in equal measure. Key Responsibilities • Lead and mentor the engineering and infrastructure teams, fostering accountability, innovation, and execution excellence., • Transition smoothly by collaborating with the interim CTO to gain deep understanding of the current systems, processes, and architecture., • Design and implement a scalable, secure technology infrastructure that supports product growth and operational expansion., • Build out clear development and deployment processes that enhance delivery speed without compromising quality or compliance., • Oversee all aspects of infrastructure management—cloud environments, integrations, DevOps, uptime, and incident response., • Maintain strong alignment between engineering initiatives and business objectives., • Develop measurable KPIs to track team performance, product stability, and delivery cadence., • Lead security and data protection efforts, ensuring compliance with all relevant fintech regulations (SOC 2, PCI, ISO 27001, etc.)., • Partner cross-functionally to align technical initiatives with business development, product, and operations teams., • Hire, develop, and, when necessary, make tough calls to preserve team excellence., • Drive continuous improvement across development, QA, and infrastructure management., • Stay ahead of evolving fintech technology and compliance trends to inform future growth. Qualifications • 10+ years of engineering experience, including at least 5 in leadership roles overseeing technology infrastructure., • Proven background in fintech, with deep understanding of security, compliance, and data protection frameworks., • Hands-on expertise in cloud platforms (AWS, GCP, or Azure), architecture design, and scalability planning., • Experience implementing systems for continuous integration, deployment, and monitoring., • Demonstrated success building high-performing engineering teams in startup or high-growth environments., • Excellent communication, collaboration, and decision-making skills. Must-Haves • Fintech experience with proven track record in compliance and secure infrastructure., • Hands-on leadership in development, DevOps, and scalability., • Strong understanding of regulatory standards (SOC 2, PCI, ISO, GDPR)., • Ability to operate with speed, clarity, and accountability in a startup setting. Benefits • Competitive compensation and potential equity participation., • Opportunity to architect and scale core systems from day one., • Fast-moving, collaborative culture with ownership and autonomy., • High-impact role influencing product, compliance, and growth strategy. If you're ready to build, lead, and scale the technology backbone of a growing fintech, we'd love to meet you. Email Resume: Apply Online: Refer a friend, get up to $1000!

Job DescriptionOur mission: to eliminate every barrier to mental health. At Spring Health, we're on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it. Our clinically validated technology, Precision Mental Healthcare, empowers us to deliver the right care at the right time—whether it's therapy, coaching, medication, or beyond—tailored to each individual's needs. We proudly partner with over 450 companies, from startups to multinational Fortune 500 corporations, as a leading provider of mental health service, providing care for 10 million people. Our clients include brands you use and know like Microsoft, Target, and Delta Airlines, all of whom trust us to deliver best-in-class outcomes for their employees globally. With our innovative platform, we've been able to generate a net positive ROI for employers and we are the only company in our category to earn external validation of net savings for customers. We have raised capital from prominent investors including Generation Investment, Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership and our latest Series E Funding, our current valuation has reached $3.3 billion. We're just getting started—join us on our journey to make mental healthcare accessible to everyone, everywhere. We are looking for a Senior Full Stack Engineer to join our Customer Experience team, working on analytics products that demonstrate the value of our services to customers while driving engagement and adoption. In this role, you will contribute to building data-driven features, refining existing solutions, and supporting rapid experimentation in a fast-paced, stakeholder-driven environment. You'll also play a critical role in enabling demo and trial environments that showcase our platform's capabilities. As part of a cross-functional team, you'll collaborate with stakeholders across marketing, customer success, and sales to streamline features and address dynamic, time-sensitive requests. Additionally, as a senior team member, you'll mentor junior engineers, fostering a culture of collaboration, quality, and continuous improvement to enhance our execution practices and deliver impactful results. Please note that this is a hybrid role based in New York City, with an expectation to be in office 2-3 days a week. Our office is located at 60 Madison Avenue. What you'll be doing: • Design and expand the capabilities of our full stack application (built with Ruby on Rails, GraphQL, and React) which provide insights into customers' data, • Build and enhance data pipelines using DBT and SQL, working closely with data scientists to leverage models and ensure seamless integration with application features, • Build and optimize data-centric solutions, working with data science teams to integrate models and unlock meaningful insights, • Work in a fast-paced environment where you'll tackle unknowns, adapt to changing priorities, and experiment rapidly to drive impactful results, • Build thoughtful UI and components by contributing to our design system/component library, • Contribute to a culture of quality by implementing strong testing practices, monitoring, and alerting systems to maintain platform reliability as our business rapidly grows, • Identify areas for growth and iteration on our application stack and advocate for them on the engineering roadmap, • Help deliver features to drive monthly active users, customer utilization, and customer satisfaction, • Code Quality & Delivery: Align with unit tests, code patterns, and current data model constraints while releasing code iteratively within a specified timeline, • Enforce Code Quality: Conduct thoughtful reviews that check logical changes, variable naming, comment, quality, and unnecessary intermediate states, • Identify/seek opportunities to contribute in ways that support the larger organization, • Set personal growth goals to upskill that are aligned with the career ladder, • Adapt effectively to shifting priorities and work efficiently in a stakeholder-driven environment, • Collaborate seamlessly across functions to ensure alignment and timely delivery of projects, • 5+ years of professional development experience with full stack web applications, • Fluency with SQL, • Comfortable working on an agile team and curious about learning new things, • Enjoy collaborating with teammates and pair programming, • Enjoy coaching & growing engineers, • Ability to thrive in a fast-paced, dynamic environment with frequent context switching, • Comfortable moving fast and working through ambiguity - we are a small startup and are working on balancing the demands of business growth and platform reliability, • Bonus points for experience with Ruby on Rails, • Bonus points for experience with React & Redux, • Bonus points for experience with Docker & AWS, • Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type., • Employer sponsored 401(k) match of up to 2% for retirement planning, • A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents., • We offer competitive paid time off policies including vacation, sick leave and company holidays., • At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents., • Access to Noom, a weight management program—based in psychology, that's tailored to your unique needs and goals., • Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses., • Access to Wellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription, • Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care, • Up to $1,000 Professional Development Reimbursement a year. Ready to do the most impactful work of your life? Learn more about our values, what it's like to work here, and how hypergrowth meets impact at Spring Health: Our Values Our privacy policy: Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.

Job DescriptionAbout Us:Live experiences help people cross today's digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that's bringing us together. To fulfill Gametime's mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.The Role: The Senior Mobile Engineer will play a pivotal role in building and modernizing our mobile commerce applications using React Native. We are looking for someone with deep expertise in developing and scaling mobile marketplace application. The ideal candidate will bring experience in creating seamless purchase flows, real-time inventory management, and high-performance mobile commerce experiences. Above & Beyond: The Impact You'll Make: • Lead the development and modernization of our React Native mobile applications, with a focus on creating robust ecommerce experiences., • Architect and implement critical commerce features including checkout flows, payment integration, and real-time inventory management., • Foster a culture of code excellence, pushing for high standards in React Native design patterns, code quality, and scalable architecture., • Optimize application performance for handling high-concurrency scenarios common in ticketing and flash sales., • Build and maintain reusable component libraries and ensure consistent user experience across iOS and Android platforms., • Collaborate with the product team to create intuitive purchase flows and reduce friction in the buying process., • Lead technical initiatives around payment processing, fraud prevention, and secure transaction handling.Always Be Curious: Skills You've Learned Along The Way:, • 5+ years of mobile development experience, with at least 5 years focused on React Native development., • Proven experience building and scaling e-commerce or ticketing applications, particularly those handling real-time inventory and high-concurrency transactions., • Deep expertise in React Native architecture, state management (Redux/MobX), and performance optimization techniques., • Strong understanding of mobile commerce best practices, including payment gateway integration, secure checkout flows, and PCI compliance., • Experience with real-time data synchronization, and WebSocket implementation., • Proficiency in native module development for iOS and Android when React Native bridges are required., • Experience with automated testing in React Native, including unit testing, integration testing, and E2E testing., • Knowledge of App Store and Play Store deployment processes and experience with CI/CD pipelines for mobile applications., • Familiarity with analytics implementation and performance monitoring in mobile commerce applications., • Previous experience working on apps with similar complexity to Gametime, SeatGeek, or other major mobile commerce platforms.One Team One Dream: What We Need to Work Together:, • Education:, • Bachelor's degree in Computer Science, Software Engineering, or related technical field, • Equivalent practical experience may substitute for the degree requirement, • Experience:, • 5+ years of software development experience, • 5+ years of React Native development experience, • 3+ years of experience building and maintaining e-commerce or marketplace applications, • 2+ years of experience with payment gateway integrations and PCI compliance, • Other Requirements:, • Proficiency in JavaScript/TypeScript, • Experience with mobile CI/CD tools (e.g., Fastlane, App Center), • Knowledge of mobile app security best practices, • Strong command of English for technical communicationPreferred Qualifications, • Education:, • Master's degree in Computer Science or related field, • Technical certifications in mobile development or cloud platforms, • Experience:, • Prior work on high-scale ticketing or event management platforms, • Experience with native module development in iOS (Swift) and Android (Kotlin), • Track record of mentoring junior developers, • Contributions to open-source React Native projects, • Experience with real-time bidding or auction systems, • Other:, • Experience with A/B testing and feature flagging in mobile applications, • Familiarity with accessibility standards and implementation, • Knowledge of mobile analytics platforms (Firebase, Mixpanel), • Experience with performance monitoring tools (New Relic, DataDog)What We can Offer:, • Flexible PTO, • Competitive salary & equity package, • Monthly Gametime credits for any event ($1,200/yr), • Medical, dental, & vision insurance, • Life insurance and disability benefits, • Diverse Family-forming benefits through Carrot Fertility, • 401k, HSA, pre-tax savings programs, • Company off-sites and meet-ups, • Wellness programs

Job Description About the Company TipLink is a company merging the world of crypto and payments. Crypto rails can be cheaper, faster, and more global than traditional finance, enabling new products that couldn’t otherwise exist. TipLink is leading the charge with innovation at this intersection. The company is backed by investors including Sequoia, Multicoin, Circle, Solana Ventures and more. About the role At Tiplink, we’re building the future of payments and blockchain integrations. As a Senior Backend Software Engineer, you’ll be at the forefront of this innovation, owning the development of the foundational backend systems that power our platform. From designing scalable APIs and integrating payment systems to optimizing infrastructure for growth, you’ll play a key role in ensuring our systems are reliable, high-performing, and secure. This is a chance to join a fast-moving startup where you’ll make impactful technical decisions, mentor teammates, and shape the technical architecture that will define Tiplink’s success. If you’re a backend expert who thrives on solving complex problems and building systems that scale, we’d love to have you on board. Role Responsibilities * Design, build, and maintain the core backend systems and services that power our product. * Monitor, optimize, and scale our backend services while maintaining high availability and performance standards. * Create and implement engineering best practices, coding standards, and architectural patterns for the backend team. * Develop internal tools, automation, and documentation that improve team productivity and code quality. * Make key architectural decisions and guide technical strategy while considering business impact and scalability. * Share backend knowledge, review team member’s code, and help grow the technical capabilities of the team * Create robust, well-documented payments-focused APIs and services that enable product features and third-party integrations. * Own our cloud infrastructure setup, deployment processes, and development workflows What You Need to be Successful (a.k.a. Qualifications) * Strong Backend Systems Architecture Experience - Proven track record of designing and building scalable distributed systems * Technical Leadership and Ownership - History of owning critical backend infrastructure and making key architectural decisions * Cloud Infrastructure Expertise - Deep experience with cloud services, containerization, and infrastructure as code * System Performance and Reliability - Track record of building and maintaining highly available systems with strong monitoring and optimization * API Design and Integration Experience - History of creating robust, well-documented APIs and integrating complex systems * Team Collaboration and Mentorship - Ability to work effectively in a small team while helping others grow technically * Strong Communication Skills - Can explain complex technical concepts clearly and work well with non-technical teammates Bonus points if you: * Have experience at early-stage startups. * Have worked with our specific tech stack (Node.js/Typescript, Terraform, AWS) * Have led technical strategy at a growing company * Have experience working in the cryptocurrency or payments industry.

Job DescriptionAbout Flume Health Flume Health is a software company that connects the fragmented healthcare data ecosystem for more efficient health plan administration. As a single, cloud-native integration platform, Flume's Relay platform allows companies to easily connect various systems and vendors for efficient data exchange that's increasingly demanded of the modern health plan. Payers, third-party administrators, prescription benefits managers, and health solutions are provided the simplicity, speed, and security they need to automate data integration and movement between relevant stakeholders. Relay supports multiple data transmission protocols, data types, and file types. By streamlining data flows between payers and solutions, a world of opportunity exists to improve access to healthcare. The Role Flume Health is seeking a Data Integration Engineer to join our growing company! We are seeking a dynamic individual with a robust background in the healthcare payer space to support our account implementations and help advance our leading data integration platform. This role offers a unique opportunity to not only delve deep into supporting more seamless administration of health benefits but also collaborate closely with our innovative product team focused on solving the industry's complex data challenges. What You'll Do • Develop documentation for new data exchanges and features needed for client implementation., • Map data fields between external specifications and Flume's canonical model., • Oversee end-to-end integrations, including scoping, testing, and deployment to clients., • Collaborate with the technology team to develop feature requirements and solutions., • Ensure the technical solutions meet customer expectations and business requirements., • Design and refine processes to enhance team efficiency and effectiveness., • Communicate complex technical issues to clients using clear, non-technical language., • Act as a Flume product and technology advocate with customers and vendors, guiding them through Flume Relay and integration processes.What You'll Need, • Minimum of 3 years' experience in a healthcare payer setting or similar, with a focus on data analytics or project management., • SQL proficiency., • Python proficiency., • Ability to navigate complex problems and drive high-quality and innovative technical solutions., • Experience in managing tight deadlines and facilitating consensus among diverse stakeholders, both internal and external., • Self-starter, comfortable following direction, with the ability to prioritize and manage work under changing deadlines., • Experienced in data mapping, transformation, and analysis within the healthcare sector., • Proficient in eliciting, documenting, and managing both business and functional requirements., • Exceptional communication skills, clearly articulating issues to both technical and non-technical audiences., • Highly organized with demonstrated ability to handle multiple priorities simultaneously., • Preferred:, • Experience with agile development methodologies., • Demonstrated ability in data integrity testing, auditing, and QA. Flume's Perks & Benefits • Flexible PTO - you're going to be working hard so enjoy time off, • A robust stock option plan to give our employees a direct stake in Flume's success, • WFH stipend - we've always been remote first, • Competitive compensation and 401k with a 4% match, • Comprehensive health coverage (medical, dental, vision)

Job DescriptionAbout Us: Voyant Photonics, based in the heart of New York City, is transforming machine perception with a new class of LiDAR devices that are compact enough to fit in the palm of your hand and powerful enough to measure range, velocity, and reflectivity with unparalleled accuracy. By leveraging cutting-edge silicon photonic chips smaller than your fingertip, we deliver sensors that are not only revolutionary in performance but also affordable enough to integrate into any system. Our technology disrupts the status quo of bulky, expensive, and power-hungry LiDAR systems, making high-precision sensing accessible for widespread adoption in robotics, autonomous vehicles, drones, industrial automation, and beyond. With Voyant, the next generation of machines can see, understand, and navigate the world like never before. Discover how we’re redefining what’s possible by making real products out of cutting-edge research in silicon photonics. Why Join Us: This is an exciting opportunity to play a key role in a hybrid hardware company with a dynamic team. Your contributions will directly support new product development as we launch our first generation of sensors to the market at scale. Position Overview: Voyant is growing and we are hiring a Field Application Engineer (FAE) to support our customers in integrating Voyant's lidar sensors into their projects and ensuring their success. This role will collaborate with the business development team and customers on pre- and post-sale technical activities, providing both software and hardware support for the Carbon development kit and supporting the test team. As an FAE, you will develop expertise in our product features, tools, and design flows while facilitating their adoption across diverse customer systems. The ideal candidate will have an interest or proficiency in lidar physics, electromechanical systems, basic thermal engineering, electrical system troubleshooting (using oscilloscopes and multimeters), signal protocols, computer networking, and electromechanical integration. This is a unique opportunity to engage directly with customers, solve real-world challenges, and contribute to the successful implementation of innovative lidar solutions. Voyant is at the forefront of delivering the highest-quality and most affordable LiDAR sensing capabilities ever developed. If you thrive in a fast-paced environment and are excited to be part of a revolutionary product transforming the sensing landscape, we’d love to hear from you. Preferred location: New York City, though remote work is an option, with Texas as the second preferred location. Key Responsibilities: * Serve as the expert liaison between Customers, Business Development, and Engineering teams. * Guide customers through the process of design, testing, and integration into new and existing development projects. * Proactively develop Proof-Of-Concept (POC) designs for various use cases and real-time applications, leveraging the latest tools and technologies. * Troubleshoot system applications at the customer’s request, address other engineering issues related to system applications, and conduct regular follow-ups to monitor customer activities and identify new sales opportunities. * Support Business Development through both pre-sale and post-sale technical activities. * Conduct training sessions for clients on the latest tools and technologies. * Communicate strategically and effectively with customers to ensure alignment and clarity. * Travel to customer sites up to 25% of the time. Qualifications: * Excellent interpersonal and presentation skills. * Strong desire for continual learning and applying knowledge to solve technical challenges. * Initiative to self-educate and seek learning opportunities related to lidar and its applications. * Hands-on debugging experience with power supplies, multimeters, and oscilloscopes. * Experience in robotics, electromechanical systems, and sensor integration. * Proficiency in Python, C++, BASH, and Matlab scripting. * Basic understanding of signal protocols (e.g., UART, CAN, RS-232) and numerical representations (binary, hexadecimal). * Strong experience working in both Windows and Linux environments. * Solid understanding of networking concepts, including mDNS, Link-Local, IPv4, IPv6, DHCP, Subnet Mask, HTTP REST API, SSH, UDP, and TCP/IP protocols and applications. * Familiarity with ROS (Robot Operating System) and related robotics software tools (desired but not required). Preferred Qualifications: * Experience working at LIDAR Manufacturer Benefits Package: * Competitive base salary and meaningful equity package. * Comprehensive health benefits (Medical, Dental, Vision). * Unlimited PTO and paid company holidays. * Team events and company meetups. * Complimentary lunch provided daily at our NYC office Equal Opportunity Employer Voyant Photonics is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, pregnancy, marital or partnership status, age, national origin, citizenship, veteran or military status, disability, medical condition, genetic information, caregiver status, or any other characteristic protected by law.

Job Description Stuut is transforming accounts receivable for B2B companies—making collections smarter and faster for companies that have historically relied on manual processes that are labor intensive and costly. Our platform is gaining traction with finance teams across industrials, chemicals, and manufacturing sectors from Fortune 10 brands to scaling midmarkets. We're backed by top-tier investors including a16z, Khosla, Activant, 1984 Ventures and Page One. The Role We’re hiring a Forward Deployed Engineer to work directly with our customers—bringing technical expertise, problem-solving skills, and a builder’s mindset to every engagement. You’ll own onboarding and implementation for new customers, integrate Stuut with their ERP and workflow systems, and deliver custom solutions that drive measurable results. This is a high-impact role for someone who can write production-quality code, communicate with both executives and engineers, and thrive in the field. You’ll act as the bridge between customer needs and Stuut’s platform, ensuring each deployment delivers real value while helping shape the future of our product. What You’ll Do * Lead Implementations: Manage onboarding from setup through integration and launch for new customers. * Integrate & Automate: Own integrations with platforms like Netsuite, SAP, Salesforce, and other ERPs; write scripts, build automations, and develop custom solutions as needed. * Collaborate Cross-Functionally: Work with Sales and Customer Success to deliver a seamless technical customer journey. * Drive Process Improvements: Identify and fix inefficiencies in our deployment workflows. * Influence the Product: Provide real-world feedback to the product team to help shape the roadmap. * Support Scale: Build technical documentation and internal tools to make customer deployment faster and easier. * Be in the Field: Travel to client sites to meet customers, deploy solutions, and build relationships. You Might Be a Fit If You… * Have 3+ years in a technical customer-facing role (e.g., Solutions Engineer, Implementations Engineer, FDE). * Are fluent in Python and skilled with modern integration technologies (APIs, ETL/ELT, enterprise auth). * Take ownership and have a bias toward building and improving. * Have experience working with sales teams in both pre- and post-sales contexts. * Have worked in startups or high-growth environments. * (Nice to Have) Experience with AI/ML-powered automation, fintech integrations, developer tools, cloud platforms, or containerization. Compensation * Top-of-market salary and equity package * Benefits (for U.S.-based full-time employees) * Medical, dental & vision insurance coverage for you * 401(k) & Match * Equity * Flexible PTO * Parental Leave Compensation Range: $150K - $240K

Job Description About US! Vanderweil Engineers is a top ranked national full-service engineering firm specializing in MEP/FP, and technology services. Working in multiple sectors including Science & Technology, Mission Critical, Academic, Healthcare and Commercial buildings. In our 75th year in operation with a staff of 500+ located across nine offices, we are proud to be one of the leading independently owned engineering firms in the country. We believe that each of us has the power to make an impact. That is why we put our team members at the center of everything we do. If you are looking for an opportunity to grow your career with some of the best minds in the industry, we are looking for you. We offer growth and stability in an ever-changing volatile environment. We are looking for a Senior HVAC Design Engineer with a science & technology or healthcare focus in our dynamic New York City office. As a Senior HVAC Design Engineer, you will be working on cutting edge projects in the Science and Technology as well as healthcare and Commercial space. Some of your responsibilities as a Senior HVAC Design Engineer include the following: • Lead the technical development of HVAC systems for large and complex projects including Science & Technology, Academic, and Commercial sector., • Formulate design criteria, perform calculations, develop concept designs, specifications, and construction documents for high performance building systems, • Supervise and effectively manage technical development throughout all phases of design assuring tasks are completed in accordance with company standards and good engineering practice., • Develops mechanical plans, specifications, and inspection reports as needed on assigned tasks, • Technically involved in the resolution of design problems that may include performing filed investigation or inspections, • Knowledge and experience with mechanical calculations, equipment selection, ductwork layout, hydronic systems, and construction documents., • Understand Revit to allow leadership and direction for the design teams., • Attend field visits, develop visit reports, meet with contractors, as necessary. Essential Skills & Requirements • 10+ years of experience designing HVAC systems in high performance facilities., • Bachelor of Science degree in Mechanical Engineering or equivalent experience, • Experience leading HVAC teams on technically challenging projects, • Communication, interpersonal, problem solving and analytical skills, • Background in either commercial, mission critical data centers, or hospitality is a plus., • Professional commitment to sustainability, LEED accreditation is a plus., • Professional Engineering license is a preferred. Our Flexible & Hybrid Work Culture We know that work/life integration is important to our employees. Our hybrid work style (up to 2 days remote per week) allows team members to have flexibility while building their skills through in-person exposure to industry experts. Our wellness programs prioritize our team members’ physical and behavioral health. We are an equal opportunity employer committed to diversity in the workplace. If you would like to connect with us for more information, please contact a member of our recruitment team or to learn more about our work culture, please visit us at . The salary range for this position is commensurate with several factors including years of experience, type of experience, education, and professional registration, therefore total compensation is expected to range from $140,000 to $170,000.00.

Job DescriptionAbout Amigo We build AI that puts people first. Instead of just making organizations more efficient, we ensure AI systems actually help humans thrive. We focus on healthcare because getting things right matters most in this field. Our technology provides organizations with confidence that their AI is functioning correctly before deployment. We use advanced testing and verification to make sure these systems are reliable enough for critical decisions. We operate globally and follow strict regulations. We've raised $6.5M from investors, including General Catalyst and GSV Ventures. Our team comes from diverse backgrounds—tech, psychology, economics, healthcare, and policy—all working together to create AI that organizations can trust and that genuinely benefits people. About this role As a Senior Software Engineer (Backend) at Amigo, you'll build the core backend infrastructure that powers our agent platform at scale. You'll develop high-performance services that handle millions of conversations per month, focusing on concurrency, reliability, and clean system design. This role requires strong concurrency programming skills and curiosity for finding good solutions to complex technical challenges. What you'll do * Design and implement high-performance backend services handling concurrent requests at scale * Build robust APIs and service-oriented architectures that power our agent platform * Develop systems with concurrency patterns to maximize throughput and reliability * Implement secure data handling for sensitive healthcare information with proper access controls * Work with distributed systems concepts like consensus, replication, and fault tolerance * Build resilient services that gracefully handle failures and maintain high availability * Optimize system performance through careful concurrency design and resource management * Solve complex backend challenges with simple, maintainable solutions * Implement monitoring, logging, and observability for backend services * Collaborate with platform teams to ensure integration across services * Design systems that scale horizontally while maintaining data consistency * Contribute to architectural decisions that shape our backend infrastructure What we're looking for * 4+ years of production-level experience with backend development languages * Strong experience with concurrency programming, including threads, async operations, and parallelism * Experience developing large-scale distributed systems or working with distributed architectures * Background working on SaaS platforms or with Service-Oriented Architectures * Experience with cloud platforms and container orchestration technologies * Strong understanding of security best practices and experience with systems handling sensitive data * Understanding of distributed systems concepts (consensus, replication, partitioning) without necessarily having built foundational frameworks * Experience with message queuing systems, event streaming, and async communication patterns * Knowledge of database systems, both SQL and NoSQL, and their scaling characteristics * Curiosity for elegant solutions and clean, maintainable code * Strong debugging skills for concurrent and distributed systems * Strong problem-solving abilities with focus on system reliability and performance Nice to have * Experience in healthcare, finance, or other regulated industries * Understanding of observability and monitoring in distributed environments * Experience with high-throughput, low-latency system design * Background with complex data processing systems Benefits Health & Wellness * Comprehensive health, dental, and vision insurance * Mental health support and wellness coaching * Flexible wellness stipend for fitness, therapy, or personal growth * Daily catered lunch and dinner Growth & Development * Annual learning budget for courses, books, or conferences * Conference attendance budget for professional development * Development setup of your choice * Academic collaboration opportunities Compensation Range: $180K - $220K

Job DescriptionOur client is expanding their IT department and is seeking to add an experienced Senior Azure DevOps Engineer to their Software Development team. This person will play a crucial role in building, automating, and maintaining scalable infrastructure and deployment pipelines to support high-quality software delivery. You will collaborate with cross-functional teams to ensure reliable, efficient, and secure systems that meet business requirements. This can be either a Fully Remote or Hybrid position depending on location.Responsibilities: • Design, implement, and manage CI/CD pipelines to support continuous integration, delivery, and deployment., • Build and maintain infrastructure-as-code solutions for cloud environments, ensuring scalability and resilience., • Monitor and troubleshoot production systems, proactively identifying areas for performance, security, and reliability improvements., • Partner with developers, QA, and business stakeholders to streamline workflows and operational processes., • Implement best practices for configuration management, system monitoring, logging, and alerting., • Collaborate with enterprise architects and infrastructure engineers to deliver secure, end-to-end solutions., • Participate in design discussions, technical planning, and operational reviews to ensure consistency across systems. Qualifications:, • 5 - 10+ years of experience as a Senior Development Engineer with Azure DevOps, • Strong expertise in cloud platforms, with proven experience implementing solutions in Azure (preferred)., • Proficiency with Infrastructure-as-Code tools (e.g., Terraform, ARM, Bicep, or Ansible)., • Hands-on experience with containerization and orchestration (Docker, Kubernetes)., • Solid understanding of CI/CD pipelines and tools (Azure DevOps, GitHub Actions, Jenkins, or similar)., • Strong knowledge of monitoring and observability platforms (e.g., Prometheus, Grafana, ELK, or Splunk)., • Excellent problem-solving and decision-making skills., • Bachelor’s degree in Computer Science, Engineering, or related field highly preferred. Salary/Benefits:, • $175,000 to $200,000+ annual base salary plus 10–20% Target Bonus, • Flex schedule and ability to work remotely, • Extremely competitive Medical, Dental, Vision, and Life plans, • Employer matching 401(k) plan, • Generous PTO plan

Job DescriptionCareer Renew is recruiting for one of its clients a Senior Backend Engineer - Onramp - Crypto - this is a fully onsite role in NYC. What You’ll Do As a Backend Engineer, you’ll design and scale the fintech and crypto systems powering seamless fiat ↔ crypto flows, real-time risk decisions, and rock-solid financial records. You will: * Own payment orchestration for bank rails (ACH, RTP, FedNow, SEPA, Open Banking) and cards (Apple Pay, Google Pay) with idempotent, fault-tolerant APIs and webhook processing. * Integrate third-party providers (Plaid, TrueLayer, Tink, Stripe, Checkout.com, Adyen, Chainalysis, TRM, Travel Rule networks) behind clean, reliable interfaces. * Build a real-time risk engine (<300ms) combining rules, ML scores, device signals, sanctions/KYC hits, and blockchain analytics to drive GREEN/AMBER/RED outcomes. * Implement KYC/AML primitives (CIP/CDD, sanctions/PEP screening, Travel Rule data, audit-ready journaling) in close partnership with Compliance. * Ship a double-entry ledger and reconciliation system tying together processors, bank statements, and on-chain balances with daily break detection and automated remediation. * Deliver crypto to user wallets safely and fast (e.g., USDC/SOL), managing hot-wallet flow, transaction creation, confirmations, and operational safeguards. * Raise the bar on reliability — SLOs, circuit breakers, retries, DLQs, shadow traffic, and canary releases. * Instrument everything with traces, metrics, and logs. Build internal ops & compliance dashboards and participate in on-call for a 24/7 system. * Collaborate cross-functionally with product, mobile, compliance, risk, and finance to take features from concept to production. Who You Are * Experienced Onramp specialist with a track record building ramps end-to-end. * Back-end expert in high-throughput, low-latency distributed systems, payments, or fintech risk. * Fluent in Rust, Go, or TypeScript/Node/Python with strong systems skills. * Database expert — deep in Postgres (transactions, indexing, locking), familiar with Redis and event/OLAP stores (Kafka/Redpanda, ClickHouse). * API craftsman — gRPC/REST best practices, versioning, pagination, authN/Z, idempotency, and webhook consumers. * Event-driven thinker — designs with queues, outbox/inbox, and exactly-once-effective behavior. * Security-minded — key management, HSM/KMS, secrets hygiene, least privilege, and auditability. * Ownership-driven, comfortable with ambiguity, and thrives on iteration. Nice to Have (Signal Boosters) * Payments: ACH/NACHA returns, 3DS/SCA, AVS/CVV, BIN analysis, chargebacks, Apple/Google Pay. * Open Banking: Plaid, TrueLayer, Tink; account auth & bank-transfer initiation. * Risk/Fraud: rule engines, device fingerprinting, feature stores, Plaid Beacon/Signal, dispute workflows. * Compliance: sanctions/PEP screening, Travel Rule networks, SAR/STR integration. * Crypto Delivery: Solana RPCs, USDC flows, wallet ops, Chainalysis/TRM integrations. * Accounting: double-entry ledgers, reconciliation jobs, regulatory/tax reporting (1099-DA/DAC8). * Infra: AWS, Terraform, Docker/Kubernetes, CI/CD, OpenTelemetry, Prometheus, Grafana. Tech Stack You Might Touch Rust, Go, TypeScript/Node, Python Postgres, Redis, ClickHouse Kafka/Redpanda, NATS gRPC/REST, AWS (EKS, RDS, KMS), Terraform OpenTelemetry, Prometheus, Grafana Plaid, TrueLayer, Tink, Stripe, Checkout.com, Adyen, Chainaylsis, TRM, Notabene/TRISA Why Join Us If you thrive in chaos, love ambitious problems, and want to build something game-changing, we want to hear from you. At our core, we believe in: * Speed over perfection — ship now, iterate later. * Ownership over bureaucracy — everyone makes big decisions. * Talent density over headcount — we hire the best, no exceptions. * Building for the future — crypto moves fast, and so do we. Compensation & Package Base Salary + Equity/Tokens

Job DescriptionAbout Us:Live experiences help people cross today's digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that's bringing us together. To fulfill Gametime's mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life. Job Summary: Engineering at Gametime You will be a key contributor to the Engineering team responsible for building and maintaining the client-side applications and backend systems that power the Gametime experience for millions of users. We empower engineers to take full ownership of their code and foster a culture grounded in testing, code reviews, observability, experimentation, and operational excellence. At Gametime, we value collaboration, inclusivity, and the strength of diverse perspectives — creating an environment where people love to build together. We are also investing deeply in the future of AI. This includes building internal tools and workflows powered by AI, incorporating agentic systems into our backend architecture, and preparing our marketplace and infrastructure to be AI-ready. Engineers are encouraged to explore and adopt AI capabilities in their development process, and those who contribute to advancing AI adoption within our stack will play a key role in shaping that evolution. The Role We are seeking a Backend Software Engineer to join the Supply Product team. This team is responsible for the technology and systems that power the supply side of the Gametime marketplace. This is a mid-level individual contributor (IC2) position for engineers who are developing their technical depth, execute reliably on scoped projects, and collaborate effectively with cross-functional teams. You'll contribute to delivering backend features and infrastructure improvements while learning from senior engineers and growing toward greater autonomy. Key Responsibilities: • Build and maintain Golang microservices that support inventory ingestion, ordering and fulfillment, and third-party integrations., • Contribute to the design and development of backend features with guidance from senior team members., • Write well-tested, maintainable, and observable code., • Support and improve internal and external APIs that power the Gametime platform., • Collaborate closely with Product, Design, and Data teams to deliver technical solutions aligned with user and business goals., • Participate in team rituals including code reviews, sprint planning, and technical discussions., • Learn and apply best practices in backend development, CI/CD, and system reliability., • Contribute to a culture of inclusion, technical curiosity, and continuous improvement., • Backend Development: Hands-on experience building backend systems using Golang or other backend languages (e.g., Python, Java, Ruby, etc)., • System Fundamentals: Understanding of distributed systems principles, REST APIs, and backend application architecture., • API Integration: Ability to work with internal and third-party APIs reliably and securely., • Cloud Infrastructure: Exposure to AWS, GCP, or other cloud platforms is a plus., • Event-Driven Systems (Bonus): Experience working with messaging systems like Kafka, RabbitMQ, or similar., • Databases: Experience with relational databases (e.g. PostgreSQL, MySQL) and/or NoSQL technologies (e.g. MongoDB, DynamoDB)., • Team Collaboration: Strong communication skills and a willingness to learn through collaboration., • Education: Bachelor's degree in Computer Science, Engineering, or a related field., • Experience: 2-4 years in software engineering, preferably with backend systems What We can Offer: • Flexible PTO, • Competitive salary & equity package, • Monthly Gametime credits for any event ($1,200/yr), • Medical, dental, & vision insurance, • Life insurance and disability benefits, • Diverse Family-forming benefits through Carrot Fertility, • 401k, HSA, pre-tax savings programs, • Company off-sites and meet-ups, • Wellness programs

Job Description Senior Data Engineer (Risk / Financial Domain) NYC 3days/week onsite (In person interview is must) Banking domain is must with Credit Risk Capital applications, Overall 15+ years of experience and have strong working knowledge on Credit Risk Capital applications, Python, Finance, Economics, or a related field. Technical Skills: Mandatory (Strong) Python, SQL server and relational database concepts, Azure Databricks, Snowflake, Scheduler (Autosys/Control-M), ETL, CI/CD Job Description: We are seeking a highly skilled and experienced IT developer to join our dynamic Credit Risk Capital IT team within Credit Risk Technology Group. As a Senior IT Developer, you will play a crucial role in designing, implementing, and maintaining the application and infrastructure for Credit Risk Capital applications following regulations like SACCR, CEM etc. Responsibilities: Understand technical specifications Business requirements discussion with business analyst and business users Python/SQL Server/Snowflake/Databricks application development and system design Develop and maintain data models and schemas to support data integration and analysis. Implement data quality and validation checks to ensure accuracy and consistency of data. Execution of UT and SIT with business analysts to ensure of high-quality testing Support for UAT with business users Production support and maintenance of application platform General: Around 15 years IT industry experience Strong communication skills Agile methodology and SDLC processes Design and Architecture experience Experience working in global delivery model (onshore/offshore/nearshore) Strong problem-solving and analytical skills Self-starter, collaborative team player and works with minimal guidance Plus: PySpark Financial systems/capital markets/credit risk/regulatory application development experience

Job Description We are Rokt, a hyper-growth ecommerce leader. Rokt is the global leader in ecommerce, unlocking real-time relevance in the moment that matters most. Rokt’s AI Brain and ecommerce Network powers billions of transactions connecting hundreds of millions of customers and is trusted to do this by the world’s leading companies. We are a team of builders helping smart businesses find innovative ways to meet customer needs and generate incremental revenue. Leading companies drive 10-50% of additional revenue—and often all their profits—from the extra products or services they sell. This economic edge unleashes a world of possibilities for growth and innovation. The Rokt engineering team builds best-in-class ecommerce technology that provides personalized and relevant experiences for customers globally and empowers marketers with sophisticated, AI-driven tooling to understand consumers better. Our bespoke platform handles millions of transactions per day. It considers billions of data points which give engineers the opportunity to build technology at scale, collaborate across teams and gain exposure to a wide range of technology. We are looking for a Senior Machine Learning Engineer Target Total Compensation: $300,000 - $435,000, including a fixed annual salary of $200,000 - $285,000, employee equity grant, and world-class benefits. As a Senior Machine Learning Engineer, you are someone who has significant expertise in both machine learning and software engineering. You will be working with our engineering and product teams to design, build and productionise proprietary machine learning models to solve different business challenges including smart bidding, budget pacing, lookalike modelling, and more. What You’ll Do • Build and productionise machine learning models including data preparation/processing pipelines, machine learning orchestrations, improvements of services performance and reliability and etc., • Contribute and maintain the high quality of the code base with tests that provide a high level of functional coverage as well as non-functional aspects with load testing, unit testing, integration testing, etc., • Collaborate closely with product managers and other engineers to understand business priorities, frame machine learning problems, and architect machine learning solutions. About You: • Masters or PhD in Machine Learning, • 3+ years of industry experience in building production-grade machine learning systems with all aspects of model training, tuning, deploying, serving and monitoring, • Good Knowledge in AWS, Kubeflow (or similar), Tensorflow and Feature Store in a production environment., • Good knowledge in and experience with some of the following areas - Bayesian methods, Recommender systems, multi-task modelling, meta-learning, click through rate modelling or conversion rate modelling About Rokt’stars: As a mission-driven, hyper-growth community of curious explorers, our ambition is to unlock real-time relevancy in ecommerce and beyond. Our bias for action means we are not afraid to quickly venture into uncharted territories, take risks, or challenge the status quo; in doing so we either win or learn. We work together as one aligned team never letting egos get in the way of brilliant ideas. We value diversity, transparency and smart humble people who enjoy building a disruptive business together. We pride ourselves on being a force for good as we make the world better. About the Benefits: We leverage best-in-class technology and market-leading innovation in AI and ML, with all of that being underlined by building and maintaining a fantastic and inclusive culture where people can be their authentic selves and offering a great list of perks and benefits to go with it: • Become a shareholder. Every Rokt’star gets equity in the company, • Enjoy catered lunch every day and healthy snacks in the office., • Access generous retirement plans like a 4% dollar-for-dollar 401K matching plan and great health benefits for you and your dependents., • Dog-friendly office, • Extra leave (bonus annual leave, sabbatical leave etc.), • Work with the greatest talent in town We at Rokt choose to create a company that is as diverse and inclusive as the world we live in by attracting, growing & keeping the best talent. Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job DescriptionAbout the Client Our client is a fast-scaling digital platform focused on transforming the way physical and digital operations connect across industries such as design, logistics, and fulfillment. With a strong engineering culture and commitment to internal efficiency, the company invests heavily in building robust backend systems and tools that drive business agility. Their platform handles complex integrations, large-scale workflows, and data orchestration—all with a mission to empower teams through intelligent automation. About the Role Our client is seeking a Senior Software Engineer (Backend) to join their Internal Tools and Infrastructure Engineering group. This fully remote role centers on building backend services, systems integrations, and workflow orchestration tools that power internal operations—ranging from order management and tax services to search and payments. You’ll work across a rich ecosystem of APIs and services, developing highly reliable tools and pipelines with minimal UI work. This role is perfect for an autonomous backend engineer who thrives in integration-heavy environments, loves clean architecture, and is comfortable driving projects from spec to ship—fast and with strong judgment. Responsibilities * Build Backend Systems: Design and maintain internal services and data pipelines using Go (Golang), orchestrating workflows via Airflow and supporting business-critical functions. * Drive System Integrations: Own backend integrations across key third-party platforms including Salesforce OMS, CommerceTools, Stripe, Avalara, Algolia, Constructor, and more. * Orchestrate Internal Workflows: Develop event-driven infrastructure and services that power operational systems like the internal lead engine and fulfillment tooling. * Collaborate Cross-Functionally: Partner with product, frontend, and DevOps teams to ensure backend services align with business goals and scale efficiently. * Promote Reliability & Speed: Contribute to service observability, automated deployments, and continuous integration practices in an AWS-based environment. * Contribute to System Design: Bring opinionated thinking to architectural decisions, document your work clearly, and mentor others when needed. Requirements * Backend Expertise: 5+ years of experience as a backend software engineer, with a strong command of Go (Golang) for building distributed systems. * Workflow Orchestration: Hands-on experience with tools like Airflow to manage complex data and task pipelines. * API Fluency: Ability to independently integrate and work with third-party APIs, including reading documentation, scoping solutions, and implementing with minimal oversight. * Event-Driven Architecture: Familiarity with Kafka or similar messaging/event streaming systems. * Cloud Experience: Proficient in AWS-based infrastructure, with working knowledge of ECS, Kubernetes, and Docker. * DevOps Literacy: Comfortable with GitHub-based workflows, CI/CD tools, and Infrastructure-as-Code practices in a GitOps environment. * Nice-to-Haves: Exposure to data platforms such as Snowflake is a plus, as is experience working alongside frontend teams (React/Next.js) to provide clean, efficient APIs. Benefits & Why Join * Impactful Engineering Work: Contribute to critical internal platforms that streamline the company’s ability to scale and operate efficiently. * Remote Flexibility: Work from anywhere while collaborating with high-performing distributed teams. * Modern Tech Stack: Leverage a cutting-edge toolset—Go, Kafka, Airflow, AWS, Docker—and build scalable systems with real business impact. * Strong Engineering Culture: Join a company where speed, autonomy, and thoughtful architecture are deeply valued. * Career Growth: Set foundational patterns for a team that’s growing rapidly; future leadership opportunities as the team scales. * Comprehensive Benefits: Competitive compensation, health benefits, paid time off, and wellness support. If you’re a backend-focused engineer who loves systems thinking, thrives on shipping fast and clean backend code, and knows how to turn complex workflows into elegant services—this is your chance to make a real impact.

Job Description We are seeking a Senior Robotics Engineer to lead advances in perception, sensor fusion, and sensor calibration that directly impact the growth and success of our business. As we expand, your role will evolve to meet new challenges and priorities. Key Responsibilities: • Lead SLAM development to improve product quality and consistency across diverse operating conditions, including GPS-degraded environments., • Enhance sensor fusion and calibration processes by integrating multi-user, multi-session point cloud maps and automating LiDAR and imagery alignment for consistent large-scale scene generation., • Drive scalability and reliability by eliminating the need for extrinsic sensor measurements in the field and proactively identifying and correcting data quality issues., • Collaborate closely with a mission-driven team of robotics and enterprise software experts to revolutionize fieldwork in the energy sector., • Develop and implement perception solutions, focusing on LiDAR, sensor fusion, and SLAM mapping for building accurate environmental maps. Required Experience & Qualifications: • 4+ years of experience in perception and mapping in robotics., • Proven background working with mobile platforms such as cars, drones, or robots performing large-scale mapping using LiDAR and other sensors., • Hands-on experience with systems integration—understanding how cameras, sensors, vehicles, and perception software work together., • Experience with SLAM solutions involving ground-based LiDAR and extensive sensor calibration (intrinsic and extrinsic), including automated data-driven techniques., • Proficiency in multimodal sensor fusion and working with ultra-wide-angle cameras., • Track record of succeeding on small, fast-moving engineering teams. Technical Skills: • Strong proficiency in C++ and Python., • Deep expertise in SLAM, sensor calibration, and sensor fusion techniques. Soft Skills: • Mission-first mindset focused on delivering strong customer and business outcomes., • Curiosity and adaptability with a willingness to learn and pivot as needed.

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role Charlie Health is seeking a Senior IT Engineer to join our IT Engineering pod. This individual contributor role is responsible for building and securing the foundation of our internal IT infrastructure with a focus on identity architecture, endpoint management, systems integration and automations. You will own and improve critical platforms like Okta, Jamf, Intune and Google Workspace, driving automation, stability, and scalability across our IT environment. This is a high-impact, hands-on technical role ideal for someone who thrives in fast-paced startup environments and is passionate about security, operational efficiency and enabling rapid growth. This position is based in either our New York City or Nashville office, with an on-site presence required four days per week. We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today. Responsibilities • Redesign and maintain Charlie Health's identity architecture using Okta, Google Workspace and Microsoft Entra, • Manage and optimize endpoint management platforms (Jamf Pro and Intune) for macOS and Windows environments, • Implement and enforce secure device trust workflows, including support for certificate-based authentication, • Deploy and operationalize Jamf Connect across the organization, • Support phased rollout of Google Managed Chrome with Context-Aware Access for enterprise-wide DLP, • Drive systems automation and integrations using tools like Workato to reduce manual IT labor, • Serve as Tier 2/3 technical escalation for identity, endpoint, and integration-related issues, • Bachelor's degree required; engineering, computer science, or IT-related field preferred, • 10+ years of experience in IT systems engineering or infrastructure roles, • Hands-on experience with Okta, Google Workspace, Microsoft Entra ID / AD, Jamf Pro, and Intune, • Proven ability to design and manage secure, scalable identity and endpoint architectures, • Experience deploying and managing SSO, MFA, RBAC, and device trust workflows, • Strong troubleshooting, documentation, and cross-functional collaboration skills, • Must be authorized to work in the United States, • Must be able to work on-site four days per week in NYC or NashvilleNice to Have, • Experience with Workato or similar low-code automation platforms to drive operational efficiency, • Experience designing or maintaining SaaS integrations across HRIS, identity, and productivity platforms, • Background in high-growth startups or scaling IT in fast-paced environments, • Experience supporting teams in healthcare or other regulated industries (e.g., HIPAA), • Certifications such as: Okta Certified Administrator or Professional, Jamf Certified Admin or Expert, Google Workspace Admin or Collaboration Engineer, GCP Cloud Digital Leader or Associate Cloud Engineer, Microsoft 365 Certified or CompTIA Security+, Network+, • Familiarity with ITIL v4 or similar operational frameworksBenefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $115,000 and $130,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-HYBRID Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job Description Revivn is a profitable and rapidly growing company that helps enterprises manage their technology through our end of life software platform. We take electronic recycling one step further by repurposing hardware that still has remaining life and providing it to people who lack dedicated computer access and make it more affordable for people who may not be able to purchase new technology. Working with companies like Instacart, Lyft, Qualtrics, X, Gensler, and Allbirds we are changing the way companies view used technology with a new model that focuses on repurposing instead of recycling. At Revivn, we live by a #bettereveryday mentality and we're on a mission to build a Go-to-Market engine that's lean, smart, and built for speed. We're hiring our first GTM Engineer to bridge the gap between ideas and execution. Think of this as a "growth hacker meets systems engineer": technical enough to wire up the tools, commercially minded enough to think about pipeline impact, and obsessed with experimentation. You'll report into Marketing and work cross functionally with RevOps, Data, and Sales to generate demand, clean up data, and automate the workflows that fuel revenue. Please note this role is based on-site at our Brooklyn Navy Yard office with Remote Wednesdays. What You'll Do • Own and evolve our GTM automation stack so it becomes central to pipeline generation, • Automate research, enrichment, lead routing, and CRM hygiene to free up GTM teams to focus on strategy, • Scale Revivn's high-touch GTM style (notes, gifts, etc.) so it works at speed and scale, • Build workflows, test quickly, and templatize what works into repeatable playbooks, • Technical fluency with automation/integration tools (Clay, Zapier, Make), • Experience working with APIs, SQL, or light scripting (Python, JavaScript), • Understanding of CRM systems (Salesforce), data models, and data hygiene best practices, • Connect GTM tools into one cohesive stack — and evolve that stack as we scale, • Commercial bias — you care about ROI, pipeline, conversion, and revenue impact, • Builder/hacker mentality – you've built automations, internal tools, or scripts yourself, • Fast learner, curious, and iterative – you like to test, learn, and ship quickly, • Ability to work in ambiguity – you'll often own tasks without a fully fleshed out gameplan, • Strong trouble shooting mindset – you catch edge cases, build error handling, monitoring, and fallbacks, • Ability to balance long-term scalability with short-term speed, • 2–4 years in a hybrid technical/commercial role (RevOps, Growth, or startup)Perks, • Competitive salary, • Direct impact: your work fuels meetings, pipeline, and revenue, • Ownership: this is a role built from the ground up – you'll shape how GTM at Revivn evolves, • Growth environment: scrappy, fast-paced, feedback driven We embrace diversity and are committed to fostering an inclusive environment. At Revivn, we encourage people from all ages, abilities, and experiences to apply. Revivn does not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status. At Revivn, we prioritize transparency about our salary throughout the entire recruitment process. Be prepared to chat about compensation on your initial screen so that we can ensure alignment. If salary expectations and ranges are out of sync, we believe it is kind to respect everyone's time and may discontinue conversations. But, here at Revivn, we ALSO believe in investing in the lifetime value of each individual we meet and interact with. (We love knowing good humans and supporting them in whatever they do). We know that if it isn't a good fit at the moment, it doesn't necessarily mean that it won't be a good fit in the future as we both continue to grow! We work to remain in contact with prospective candidates if the recruitment process ends early on. For all job openings, we consider candidates with various backgrounds and levels of experience. When we give an offer it is based on individual skills and experience, as well as how that stacks up against other employees in the role. The salary range for a Go-to-Market Engineer is expected to be between $120,000-160,000/year. Your exact offer may vary based on these factors, including market location, job-related knowledge, and experience. The compensation package will also include comprehensive benefits such as medical, dental, and vision coverage, along with a 401(k) plan.