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java developer san francisco ca
WTW
Java AI Developer
WTW Washington, Washington DC
This job is with WTW, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Description We are seeking a highly skilled Java Developer to join our growing technology team at Individual Marketplace (a LOB inside the HWC segment of WTW). This role involves designing, developing, and maintaining scalable enterprise applications while leveraging AI-native strategies, tools and practices to improve delivery efficiency/speed, code quality, and outcome. The ideal candidate will bring strong expertise in Java-based ecosystems combined with experience in modern engineering practices, DevOps, and AI-powered coding tools (e.g., GitHub Copilot, Claude Code, or similar solutions). You will collaborate with global teams to deliver robust digital solutions that support WTW's business objectives. The Role Design, develop, test, and deploy high-quality, scalable Java applications. Collaborate with architects and cross-functional teams to define technical solutions aligned with business requirements. Leverage AI-assisted development tools and skills to accelerate coding, automate repetitive tasks, and enhance code quality. Participate in code reviews, ensuring adherence to best practices and secure coding standards. Develop and maintain RESTful APIs and microservices. Contribute to CI/CD pipelines and DevOps practices for automated build and deployment processes to Azure Troubleshoot and resolve production issues, ensuring system reliability and performance. Be on call as required to attend incident calls and provide live support. Mentor junior developers and contribute to knowledge sharing within the team. Qualifications The Requirements Bachelor's degree in Computer Science, Information Technology, or related field. 5-8 years of experience in Java development Hands on experience with AI-assisted and AI-native development tools (e.g., GitHub Copilot, OpenAI Codex, Claude Code, etc.). Strong proficiency in: Core Java, Spring Boot, Spring Framework RESTful APIs and Microservices architecture SQL databases Strong understanding of SQL (preferably Oracle SQL) is required. Knowledge on Angular/React is preferred. Knowledge of modern development practices: Agile/Scrum methodologies CI/CD pipelines (Jenkins, Azure DevOps, GitHub Actions) Containerization (Docker, Kubernetes) Familiarity with cloud platforms (Azure preferred). Strong problem-solving skills and ability to work in a collaborative environment. Excellent communication skills. Exposure to security best practices and performance optimization techniques is a plus. Healthcare domain knowledge is preferred Location: Remote Role - Open to anyone residing within the United States Note : Employment-based non-immigrant visa sponsorship and/or assistance is not offered for this specific job opportunity. Compensation and Benefits Base salary range and benefits information for this position are being included in accordance with requirements of various state/local pay transparency legislation. Please note that salaries may vary for different individuals in the same role based on several factors, including but not limited to location of the role, individual competencies, education/professional certifications, qualifications/experience, performance in the role and potential for revenue generation (Producer roles only). Compensation The base salary compensation range being offered for this role is $100,000 - $115,000 USD per year. This role is also eligible for an annual short-term incentive bonus. Company Benefits WTW provides a competitive benefit package which includes the following (eligibility requirements apply): Health and Welfare Benefits : Medical (including prescription coverage), Dental, Vision, Health Savings Account, Commuter Account, Health Care and Dependent Care Flexible Spending Accounts, Group Accident, Group Critical Illness, Life Insurance, AD&D, Group Legal, Identify Theft Protection, Wellbeing Program and Work/Life Resources (including Employee Assistance Program) Leave Benefits : Paid Holidays, Annual Paid Time Off (includes paid state/local paid leave where required), Short-Term Disability, Long-Term Disability, Other Leaves (e.g., Bereavement, FMLA, ADA, Jury Duty, Military Leave, and Parental and Adoption Leave), Paid Time Off (Washington State only) Retirement Benefits : Contributory Pension Plan and Savings Plan (401k). Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles County Fair Chance Ordinance for Employers, we will consider for employment qualified applicants with arrest and conviction records. This position will remain posted for a minimum of three business days from the date posted or until a sufficient/appropriate candidate slate has been identified. EOE, including disability/vets
11/13/2026
Full time
This job is with WTW, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Description We are seeking a highly skilled Java Developer to join our growing technology team at Individual Marketplace (a LOB inside the HWC segment of WTW). This role involves designing, developing, and maintaining scalable enterprise applications while leveraging AI-native strategies, tools and practices to improve delivery efficiency/speed, code quality, and outcome. The ideal candidate will bring strong expertise in Java-based ecosystems combined with experience in modern engineering practices, DevOps, and AI-powered coding tools (e.g., GitHub Copilot, Claude Code, or similar solutions). You will collaborate with global teams to deliver robust digital solutions that support WTW's business objectives. The Role Design, develop, test, and deploy high-quality, scalable Java applications. Collaborate with architects and cross-functional teams to define technical solutions aligned with business requirements. Leverage AI-assisted development tools and skills to accelerate coding, automate repetitive tasks, and enhance code quality. Participate in code reviews, ensuring adherence to best practices and secure coding standards. Develop and maintain RESTful APIs and microservices. Contribute to CI/CD pipelines and DevOps practices for automated build and deployment processes to Azure Troubleshoot and resolve production issues, ensuring system reliability and performance. Be on call as required to attend incident calls and provide live support. Mentor junior developers and contribute to knowledge sharing within the team. Qualifications The Requirements Bachelor's degree in Computer Science, Information Technology, or related field. 5-8 years of experience in Java development Hands on experience with AI-assisted and AI-native development tools (e.g., GitHub Copilot, OpenAI Codex, Claude Code, etc.). Strong proficiency in: Core Java, Spring Boot, Spring Framework RESTful APIs and Microservices architecture SQL databases Strong understanding of SQL (preferably Oracle SQL) is required. Knowledge on Angular/React is preferred. Knowledge of modern development practices: Agile/Scrum methodologies CI/CD pipelines (Jenkins, Azure DevOps, GitHub Actions) Containerization (Docker, Kubernetes) Familiarity with cloud platforms (Azure preferred). Strong problem-solving skills and ability to work in a collaborative environment. Excellent communication skills. Exposure to security best practices and performance optimization techniques is a plus. Healthcare domain knowledge is preferred Location: Remote Role - Open to anyone residing within the United States Note : Employment-based non-immigrant visa sponsorship and/or assistance is not offered for this specific job opportunity. Compensation and Benefits Base salary range and benefits information for this position are being included in accordance with requirements of various state/local pay transparency legislation. Please note that salaries may vary for different individuals in the same role based on several factors, including but not limited to location of the role, individual competencies, education/professional certifications, qualifications/experience, performance in the role and potential for revenue generation (Producer roles only). Compensation The base salary compensation range being offered for this role is $100,000 - $115,000 USD per year. This role is also eligible for an annual short-term incentive bonus. Company Benefits WTW provides a competitive benefit package which includes the following (eligibility requirements apply): Health and Welfare Benefits : Medical (including prescription coverage), Dental, Vision, Health Savings Account, Commuter Account, Health Care and Dependent Care Flexible Spending Accounts, Group Accident, Group Critical Illness, Life Insurance, AD&D, Group Legal, Identify Theft Protection, Wellbeing Program and Work/Life Resources (including Employee Assistance Program) Leave Benefits : Paid Holidays, Annual Paid Time Off (includes paid state/local paid leave where required), Short-Term Disability, Long-Term Disability, Other Leaves (e.g., Bereavement, FMLA, ADA, Jury Duty, Military Leave, and Parental and Adoption Leave), Paid Time Off (Washington State only) Retirement Benefits : Contributory Pension Plan and Savings Plan (401k). Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles County Fair Chance Ordinance for Employers, we will consider for employment qualified applicants with arrest and conviction records. This position will remain posted for a minimum of three business days from the date posted or until a sufficient/appropriate candidate slate has been identified. EOE, including disability/vets
Machine Learning Engineer 4 - Manager IC
Capital One New York, New York
Machine Learning Engineer 4 - Manager IC Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. As part of the Enterprise ML Platform team, you will build and evolve the high-throughput, multi-tenant training platform that powers model workflows across Capital One-ranging from classical ML to GenAI fine-tuning and distributed computing with Ray, Spark, and Dask. Owning the Kubeflow Pipelines v2 application layer on Amazon EKS, the team develops internal Python and Go SDKs, custom Kubernetes operators, and developer tooling that abstract complex infrastructure for critical, regulated workloads. In this role, you will integrate agentic AI into modern engineering lifecycles and contribute directly to upstream open-source Kubeflow, balancing fast-paced feature delivery with enterprise-grade platform stability and security. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years designing, training, optimizing, and evaluating modern ML models across architectures (e.g., Transformers, CNNs, RNNs) and paradigms (supervised, unsupervised, reinforcement learning), including loss design, hyperparameter tuning, and diagnostic debugging. 3+ years architecting and scaling distributed, end-to-end ML systems, from production-ready training/evaluation data pipelines to algorithm and infrastructure optimization. 3+ years managing ML workloads using Docker, Kubernetes, and pipeline orchestration tools (e.g., Kubeflow is a strong plus). 3+ years applying modern software best practices (CI/CD, version control, automated testing, code reviews) and deploying resilient systems with progressive rollout strategies (blue/green, canary/one-box), monitoring, alerting, and incident response planning. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 San Jose, CA: $215,200 - $245,600 for Machine Learning Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
11/13/2026
Full time
Machine Learning Engineer 4 - Manager IC Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. As part of the Enterprise ML Platform team, you will build and evolve the high-throughput, multi-tenant training platform that powers model workflows across Capital One-ranging from classical ML to GenAI fine-tuning and distributed computing with Ray, Spark, and Dask. Owning the Kubeflow Pipelines v2 application layer on Amazon EKS, the team develops internal Python and Go SDKs, custom Kubernetes operators, and developer tooling that abstract complex infrastructure for critical, regulated workloads. In this role, you will integrate agentic AI into modern engineering lifecycles and contribute directly to upstream open-source Kubeflow, balancing fast-paced feature delivery with enterprise-grade platform stability and security. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years designing, training, optimizing, and evaluating modern ML models across architectures (e.g., Transformers, CNNs, RNNs) and paradigms (supervised, unsupervised, reinforcement learning), including loss design, hyperparameter tuning, and diagnostic debugging. 3+ years architecting and scaling distributed, end-to-end ML systems, from production-ready training/evaluation data pipelines to algorithm and infrastructure optimization. 3+ years managing ML workloads using Docker, Kubernetes, and pipeline orchestration tools (e.g., Kubeflow is a strong plus). 3+ years applying modern software best practices (CI/CD, version control, automated testing, code reviews) and deploying resilient systems with progressive rollout strategies (blue/green, canary/one-box), monitoring, alerting, and incident response planning. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 San Jose, CA: $215,200 - $245,600 for Machine Learning Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Machine Learning Engineer 4 - Manager IC
Capital One Mc Lean, Virginia
Machine Learning Engineer 4 - Manager IC Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. As part of the Enterprise ML Platform team, you will build and evolve the high-throughput, multi-tenant training platform that powers model workflows across Capital One-ranging from classical ML to GenAI fine-tuning and distributed computing with Ray, Spark, and Dask. Owning the Kubeflow Pipelines v2 application layer on Amazon EKS, the team develops internal Python and Go SDKs, custom Kubernetes operators, and developer tooling that abstract complex infrastructure for critical, regulated workloads. In this role, you will integrate agentic AI into modern engineering lifecycles and contribute directly to upstream open-source Kubeflow, balancing fast-paced feature delivery with enterprise-grade platform stability and security. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years designing, training, optimizing, and evaluating modern ML models across architectures (e.g., Transformers, CNNs, RNNs) and paradigms (supervised, unsupervised, reinforcement learning), including loss design, hyperparameter tuning, and diagnostic debugging. 3+ years architecting and scaling distributed, end-to-end ML systems, from production-ready training/evaluation data pipelines to algorithm and infrastructure optimization. 3+ years managing ML workloads using Docker, Kubernetes, and pipeline orchestration tools (e.g., Kubeflow is a strong plus). 3+ years applying modern software best practices (CI/CD, version control, automated testing, code reviews) and deploying resilient systems with progressive rollout strategies (blue/green, canary/one-box), monitoring, alerting, and incident response planning. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 San Jose, CA: $215,200 - $245,600 for Machine Learning Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
11/13/2026
Full time
Machine Learning Engineer 4 - Manager IC Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. As part of the Enterprise ML Platform team, you will build and evolve the high-throughput, multi-tenant training platform that powers model workflows across Capital One-ranging from classical ML to GenAI fine-tuning and distributed computing with Ray, Spark, and Dask. Owning the Kubeflow Pipelines v2 application layer on Amazon EKS, the team develops internal Python and Go SDKs, custom Kubernetes operators, and developer tooling that abstract complex infrastructure for critical, regulated workloads. In this role, you will integrate agentic AI into modern engineering lifecycles and contribute directly to upstream open-source Kubeflow, balancing fast-paced feature delivery with enterprise-grade platform stability and security. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years designing, training, optimizing, and evaluating modern ML models across architectures (e.g., Transformers, CNNs, RNNs) and paradigms (supervised, unsupervised, reinforcement learning), including loss design, hyperparameter tuning, and diagnostic debugging. 3+ years architecting and scaling distributed, end-to-end ML systems, from production-ready training/evaluation data pipelines to algorithm and infrastructure optimization. 3+ years managing ML workloads using Docker, Kubernetes, and pipeline orchestration tools (e.g., Kubeflow is a strong plus). 3+ years applying modern software best practices (CI/CD, version control, automated testing, code reviews) and deploying resilient systems with progressive rollout strategies (blue/green, canary/one-box), monitoring, alerting, and incident response planning. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 San Jose, CA: $215,200 - $245,600 for Machine Learning Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; 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- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
IBM
Confluent - Staff Software Engineer - Control Plane Core Infrastructure
IBM San Francisco, California
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role We're looking for a Staff Software Engineer I to lead the design and delivery of core control-plane infrastructure that powers Confluent Cloud. In this role, you will own highly technical projects across multiple services and teams, shaping the architecture and reliability of our cloud platform. You'll combine deep distributed systems expertise with strong execution and cross-team leadership, identifying high-leverage problems and driving them from idea to durable impact. What You Will Do Own end-to-end architecture and delivery of complex control-plane systems (APIs, controllers, orchestration workflows, and data models) that support Confluent Cloud products. Lead open-ended technical initiatives by taking ambiguous problems, clarifying requirements, defining the approach, and driving execution across teams and services. Raise the bar on reliability and operations by building resilient systems with strong observability, clear SLOs, runbooks, and safe rollout and rollback patterns. Collaborate across organizations, including Cloud Platform, Kafka, Compute, Security, Traffic, SRE, and others, to align on designs, trade-offs, and long-term platform direction. Mentor and unblock engineers at multiple levels, provide high-quality design and code reviews, and help grow the broader engineering team. Continuously improve the developer experience for our control-plane stack through tooling, automation, CI/CD, and test strategy enhancements that reduce toil and increase velocity. Influence technical strategy within your domain by identifying high-impact opportunities, proposing roadmaps, and helping prioritize work aligned with business goals. Contribute to engineering culture through documentation, design reviews, and knowledge sharing, including internal talks, wikis, and external content where appropriate. Required Skills Experienced builder: Typically 6+ years of software engineering experience, with a strong track record of delivering complex backend or distributed systems to production. Distributed systems & cloud expert: Deep hands-on experience with one or more of the following: Distributed systems design (consistency models, failure modes, data modeling, and scalability). Cloud platforms (AWS, GCP, or Azure) and cloud-native architectures. Kubernetes or similar orchestration platforms. Strong systems and coding skills: Proficiency in one or more of Go, Java, or Scala, with the ability to work across services, infrastructure, and automation. Architect and executor: Ability to define end-to-end designs, break work into milestones, de-risk early, and deliver high-quality solutions on schedule. Operationally rigorous: Strong understanding of SLOs, failure modes, observability, and incident response, with a focus on designing for safe change and graceful degradation. Great communicator: Ability to write clear design documents, articulate trade-offs effectively, and lead technical discussions with diverse stakeholders, including engineers, product managers, and leadership. Leader without authority: Proven experience leading cross-team initiatives, influencing technical direction beyond immediate ownership, and helping other engineers grow and succeed. Values-aligned: Committed to customer impact, reliability, long-term maintainability, and team success, with a focus on building durable solutions rather than simply shipping features. Preferred Skills Experience building control-plane systems, including APIs, operators/controllers, metadata services, and provisioning or orchestration workflows. Background working with Apache Kafka or other streaming and data systems. Experience designing and operating multi-region, high-availability, or disaster recovery architectures. Experience working on security-sensitive infrastructure, including identity, certificates, secrets management, mTLS, policy enforcement, or compliance-driven environments. Contributions to open-source projects, technical blogs, conference presentations, or other forms of technical thought leadership in relevant domains. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
11/13/2026
Full time
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role We're looking for a Staff Software Engineer I to lead the design and delivery of core control-plane infrastructure that powers Confluent Cloud. In this role, you will own highly technical projects across multiple services and teams, shaping the architecture and reliability of our cloud platform. You'll combine deep distributed systems expertise with strong execution and cross-team leadership, identifying high-leverage problems and driving them from idea to durable impact. What You Will Do Own end-to-end architecture and delivery of complex control-plane systems (APIs, controllers, orchestration workflows, and data models) that support Confluent Cloud products. Lead open-ended technical initiatives by taking ambiguous problems, clarifying requirements, defining the approach, and driving execution across teams and services. Raise the bar on reliability and operations by building resilient systems with strong observability, clear SLOs, runbooks, and safe rollout and rollback patterns. Collaborate across organizations, including Cloud Platform, Kafka, Compute, Security, Traffic, SRE, and others, to align on designs, trade-offs, and long-term platform direction. Mentor and unblock engineers at multiple levels, provide high-quality design and code reviews, and help grow the broader engineering team. Continuously improve the developer experience for our control-plane stack through tooling, automation, CI/CD, and test strategy enhancements that reduce toil and increase velocity. Influence technical strategy within your domain by identifying high-impact opportunities, proposing roadmaps, and helping prioritize work aligned with business goals. Contribute to engineering culture through documentation, design reviews, and knowledge sharing, including internal talks, wikis, and external content where appropriate. Required Skills Experienced builder: Typically 6+ years of software engineering experience, with a strong track record of delivering complex backend or distributed systems to production. Distributed systems & cloud expert: Deep hands-on experience with one or more of the following: Distributed systems design (consistency models, failure modes, data modeling, and scalability). Cloud platforms (AWS, GCP, or Azure) and cloud-native architectures. Kubernetes or similar orchestration platforms. Strong systems and coding skills: Proficiency in one or more of Go, Java, or Scala, with the ability to work across services, infrastructure, and automation. Architect and executor: Ability to define end-to-end designs, break work into milestones, de-risk early, and deliver high-quality solutions on schedule. Operationally rigorous: Strong understanding of SLOs, failure modes, observability, and incident response, with a focus on designing for safe change and graceful degradation. Great communicator: Ability to write clear design documents, articulate trade-offs effectively, and lead technical discussions with diverse stakeholders, including engineers, product managers, and leadership. Leader without authority: Proven experience leading cross-team initiatives, influencing technical direction beyond immediate ownership, and helping other engineers grow and succeed. Values-aligned: Committed to customer impact, reliability, long-term maintainability, and team success, with a focus on building durable solutions rather than simply shipping features. Preferred Skills Experience building control-plane systems, including APIs, operators/controllers, metadata services, and provisioning or orchestration workflows. Background working with Apache Kafka or other streaming and data systems. Experience designing and operating multi-region, high-availability, or disaster recovery architectures. Experience working on security-sensitive infrastructure, including identity, certificates, secrets management, mTLS, policy enforcement, or compliance-driven environments. Contributions to open-source projects, technical blogs, conference presentations, or other forms of technical thought leadership in relevant domains. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
IBM
Confluent - Distributed Systems Software Engineer
IBM San Francisco, California
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities WarpStream is an Apache Kafka compatible data streaming platform built directly on top of object storage with zero local disks. It's delivered to customers as a BYOC-style offering. The WarpStream team is responsible for this product offering from top to bottom, and as a Senior Engineer you'll do everything from working on the storage engine running in the Agents, improving the scalability of our multi-tenant control plane, implementing new features like transactions, active-active multi-regions clusters, and even write some HTML/Javascript for our developer console. We're a small team of < 15 engineers, so you'll be expected to work across the entire stack from bashing bits at the network level to making sure our UI provides a great developer experience. You will have an opportunity to solve complex distributed systems problems at scale. You will build services that can operate across different cloud service providers like AWS, GCP, and Azure. You'll be on-call for all of it. The WarpStream team is fully remote and geographically distributed, currently we have engineers in: Spain, France, Canada, Ireland, and the USA. What You Will Do: Independently drive execution of complex technical projects end to end. Build mission-critical backend services that deliver value to our customers. You will play a crucial role in architecting, designing, developing and operationalizing high performance, scalable, reliable and resilient services. Troubleshoot and debug technical issues inside a deep and complex technical stack that includes microservices, containers, and virtualization. Ensure operational readiness of the services and meet the availability and performance SLA commitments to our customers. Required Skills 5+ years industry experience designing, building, scaling and supporting backend systems in production with a solid grasp on good software engineering practices such as code reviews, deep focus on quality, and documentation Strong programming and algorithmic skills. Proficiency in a major programming language, e.g. Java, Go, C / C++, Python, etc Deep curiosity and enthusiasm for distributed systems and storage systems Strong focus on project delivery and communication skills Experience in driving operational excellence for large production services A strong sense of customer centricity, teamwork, technical leadership and mentorship and are excited about team and company success Preferred Skills Proven track record of delivering large-scale, highly available, high quality systems Hands-on technical expertise in large scale systems engineering or distributed systems On-call experience handling critical systems Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
11/12/2026
Full time
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities WarpStream is an Apache Kafka compatible data streaming platform built directly on top of object storage with zero local disks. It's delivered to customers as a BYOC-style offering. The WarpStream team is responsible for this product offering from top to bottom, and as a Senior Engineer you'll do everything from working on the storage engine running in the Agents, improving the scalability of our multi-tenant control plane, implementing new features like transactions, active-active multi-regions clusters, and even write some HTML/Javascript for our developer console. We're a small team of < 15 engineers, so you'll be expected to work across the entire stack from bashing bits at the network level to making sure our UI provides a great developer experience. You will have an opportunity to solve complex distributed systems problems at scale. You will build services that can operate across different cloud service providers like AWS, GCP, and Azure. You'll be on-call for all of it. The WarpStream team is fully remote and geographically distributed, currently we have engineers in: Spain, France, Canada, Ireland, and the USA. What You Will Do: Independently drive execution of complex technical projects end to end. Build mission-critical backend services that deliver value to our customers. You will play a crucial role in architecting, designing, developing and operationalizing high performance, scalable, reliable and resilient services. Troubleshoot and debug technical issues inside a deep and complex technical stack that includes microservices, containers, and virtualization. Ensure operational readiness of the services and meet the availability and performance SLA commitments to our customers. Required Skills 5+ years industry experience designing, building, scaling and supporting backend systems in production with a solid grasp on good software engineering practices such as code reviews, deep focus on quality, and documentation Strong programming and algorithmic skills. Proficiency in a major programming language, e.g. Java, Go, C / C++, Python, etc Deep curiosity and enthusiasm for distributed systems and storage systems Strong focus on project delivery and communication skills Experience in driving operational excellence for large production services A strong sense of customer centricity, teamwork, technical leadership and mentorship and are excited about team and company success Preferred Skills Proven track record of delivering large-scale, highly available, high quality systems Hands-on technical expertise in large scale systems engineering or distributed systems On-call experience handling critical systems Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
Entry-Level Application Developer - Educational Services
Year Up United San Francisco, California
Year Up is seeking an Entry Level Application Developer to join our innovative Information Technology team. This unique position offers the opportunity to integrate technical skills with a meaningful mission in an educational setting. As part of our IT & Data Management department, the successful candidate will be integral to supporting our academic programs and services through the development and maintenance of application solutions. The developer will collaborate extensively with educational staff to understand and meet their technology needs, enhancing both faculty and student experiences. Responsibilities Develop, test, and implement application solutions tailored to the needs of educational staff and students. Work closely with the IT team and various internal stakeholders to define system requirements and customize software applications accordingly. Provide technical support and troubleshooting for applications within the organization. Document all phases of software development including design, testing, and deployment. Participate in continuous learning to stay current with industry and educational technology trends. Assist in training staff and students on the use of new technologies and applications. Required Skills Proficient in several programming languages such as Java, Python, or Java Script. Strong understanding of database management and software development life cycles. Ability to communicate effectively with non-technical staff to gather requirements and deliver solutions. Foundational knowledge of web development frameworks and user interface design.
11/01/2026
Full time
Year Up is seeking an Entry Level Application Developer to join our innovative Information Technology team. This unique position offers the opportunity to integrate technical skills with a meaningful mission in an educational setting. As part of our IT & Data Management department, the successful candidate will be integral to supporting our academic programs and services through the development and maintenance of application solutions. The developer will collaborate extensively with educational staff to understand and meet their technology needs, enhancing both faculty and student experiences. Responsibilities Develop, test, and implement application solutions tailored to the needs of educational staff and students. Work closely with the IT team and various internal stakeholders to define system requirements and customize software applications accordingly. Provide technical support and troubleshooting for applications within the organization. Document all phases of software development including design, testing, and deployment. Participate in continuous learning to stay current with industry and educational technology trends. Assist in training staff and students on the use of new technologies and applications. Required Skills Proficient in several programming languages such as Java, Python, or Java Script. Strong understanding of database management and software development life cycles. Ability to communicate effectively with non-technical staff to gather requirements and deliver solutions. Foundational knowledge of web development frameworks and user interface design.
Technical Lead - API and Integration Development (Hybrid)
Intact Services USA LLC Farmington, Connecticut
Job Description Job Description Our employees are at the heart of what we do: helping people, businesses and society prosper in good times and be resilient in bad times. When you join our team, you are bringing this purpose to life alongside a passionate community. Feel empowered to learn and grow while being valued for who you are. At Intact, we commit to supporting you in reaching your goals with tools, opportunities, and flexibility. It's our promise to you. Who we are At Intact Insurance Specialty Solutions, we are experts at what we do in protecting what makes businesses unique. Our deep understanding of the specialty insurance market is the foundation for our customized solutions, backed by targeted risk control and claims services. Our employees are passionate about providing insurance coverage that's aligned to our targeted customer groups. Intact's Global Specialty Lines business spans across more than 20 verticals in four distinct markets: U.S., Canada, UK and Europe. The following opportunity is for our U.S. team. The opportunity We currently have an opportunity for a Technical Lead - API and Integration Development to join our Corporate IT team based in our Canton, MA; Boston, MA; Farmington, CT or Raleigh, NC offices on a hybrid schedule. We are seeking a technically strong and hands-on Technical Lead to drive the development of APIs and integration solutions across our enterprise platforms. This role combines leadership, architecture, and development responsibilities, with a focus on Java Spring Boot, cloud-native deployments, and secure, scalable integration patterns. You'll lead a small team while remaining actively involved in coding and solution design, leveraging technologies such as Auth0, Microsoft Azure, Kafka, Event Hub, Service Bus, and Terraform. Some of the Technical Lead - API and Integration Development responsibilities include but are not limited to: Lead the design and development of RESTful APIs using Java Spring Boot, ensuring adherence to REST principles, OpenAPI standards, and versioning strategies. Architect and implement integration solutions using Azure Service Bus, Kafka, Event Hub, and MQ technologies. Apply and enforce secure coding practices, including input validation, authentication/authorization, encryption, and secure error handling. Guide the team in evaluating and implementing delivery models such as shared libraries, microservices, and discrete deployables. Develop and maintain Terraform scripts for infrastructure provisioning and automation in Microsoft Azure. Lead and mentor a small team of developers, fostering a collaborative and growth-oriented environment. Stay hands-on with development, code reviews, and troubleshooting while supporting team members in their technical and professional growth. Collaborate with DevOps and Cloud Engineering teams to deploy and manage containerized applications using Docker and Kubernetes. Implement authentication and authorization flows using Auth0 and other identity providers. Promote agile development practices, CI/CD pipelines, and automated testing. The expertise you bring Bachelor's or Master's degree in Computer Science, Engineering, or related field. 9+ years of experience in Java development, with strong proficiency in Spring Boot. 2+ years of experience in a technical leadership or team lead role. Strong understanding of RESTful API design, OpenAPI/Swagger, and API versioning. Experience with Azure cloud services, including App Services, API Management, Event Hub, and Service Bus. Hands-on experience with Kafka, MQ, and other messaging/integration platforms. Proficiency in Terraform for infrastructure as code (IaC). Familiarity with Auth0 or similar identity and access management solutions. Solid understanding of secure coding practices and application security principles. Experience with containerization (Docker) and orchestration (Kubernetes). Excellent communication and leadership skills, with a willingness to mentor and grow a team while remaining technically hands-on. Our salary ranges are determined by many factors including location, role, experience and skillset of the candidate. The following ranges displayed reflect the target base salary for new hires; however, your recruiter will provide more specific compensation details during the hiring process. The typical base salary range for this position is: $124,000 - $164,000, based on the factors aforementioned. For candidates located in San Francisco, CA; Washington DC; our Massachusetts based offices and the New York City metro area, the base salary range is $144,000 - $169,000. In addition to base salary, full time Intact employees are also eligible for bonus potential and a full range of benefits to include but not limited to: Comprehensive medical, dental and vision insurance with no waiting period Competitive paid time off programs 401(k) savings and annual contributions of up to 12% of annual salary Mental health support programs, life and disability insurance, paid parental leave and a variety of additional voluntary benefits This position will remain posted until a final candidate is selected. Once the role is filled, this job posting will be removed. Why choose Intact We live our Values: We are committed to acting with the highest of ethical standards through our five core values: integrity, respect, customer driven, excellence and social responsibility. Our commitment to Diversity: Founded in our values, we see diversity as a strength and aspire to create an environment where everyone can be themselves, grow and succeed. Together, we will stand up for what's right to build an inclusive society. Manage your Time: What you accomplish matters more than hours in the office. We are committed to creating a positive and supportive environment in which you perform your best. Our Time-Off and Flexible Work Arrangement options help foster a healthy work-life balance. Check out our Glassdoor reviews to see why people love working for Intact! Our promise to you Our Values are foundational to our success at Intact. You'll make a difference every day when you live our Values, do your best work, are open to change, and invest in yourself. In return, we promise you support, opportunities and performance-led financial rewards in a flexible work environment where you can: Shape the future: Help us lead an insurance transformation to better protect people, businesses and society. Win as a team: Collaborate with inspiring people to do your best work every day and together, stand up for what is right. Grow with us: Refresh and reinvent your skills, learn from our diverse teams, lift others up, and grow. About Intact At Intact Insurance Specialty Solutions we are experts at what we do. Our deep understanding of the specialty insurance market is the foundation for our customized solutions, backed by targeted risk control and claims services. Our employees are passionate about providing insurance coverage that's aligned to our targeted customer groups. Today, we help protect over a dozen industries with tailored coverages and services.
09/29/2026
Full time
Job Description Job Description Our employees are at the heart of what we do: helping people, businesses and society prosper in good times and be resilient in bad times. When you join our team, you are bringing this purpose to life alongside a passionate community. Feel empowered to learn and grow while being valued for who you are. At Intact, we commit to supporting you in reaching your goals with tools, opportunities, and flexibility. It's our promise to you. Who we are At Intact Insurance Specialty Solutions, we are experts at what we do in protecting what makes businesses unique. Our deep understanding of the specialty insurance market is the foundation for our customized solutions, backed by targeted risk control and claims services. Our employees are passionate about providing insurance coverage that's aligned to our targeted customer groups. Intact's Global Specialty Lines business spans across more than 20 verticals in four distinct markets: U.S., Canada, UK and Europe. The following opportunity is for our U.S. team. The opportunity We currently have an opportunity for a Technical Lead - API and Integration Development to join our Corporate IT team based in our Canton, MA; Boston, MA; Farmington, CT or Raleigh, NC offices on a hybrid schedule. We are seeking a technically strong and hands-on Technical Lead to drive the development of APIs and integration solutions across our enterprise platforms. This role combines leadership, architecture, and development responsibilities, with a focus on Java Spring Boot, cloud-native deployments, and secure, scalable integration patterns. You'll lead a small team while remaining actively involved in coding and solution design, leveraging technologies such as Auth0, Microsoft Azure, Kafka, Event Hub, Service Bus, and Terraform. Some of the Technical Lead - API and Integration Development responsibilities include but are not limited to: Lead the design and development of RESTful APIs using Java Spring Boot, ensuring adherence to REST principles, OpenAPI standards, and versioning strategies. Architect and implement integration solutions using Azure Service Bus, Kafka, Event Hub, and MQ technologies. Apply and enforce secure coding practices, including input validation, authentication/authorization, encryption, and secure error handling. Guide the team in evaluating and implementing delivery models such as shared libraries, microservices, and discrete deployables. Develop and maintain Terraform scripts for infrastructure provisioning and automation in Microsoft Azure. Lead and mentor a small team of developers, fostering a collaborative and growth-oriented environment. Stay hands-on with development, code reviews, and troubleshooting while supporting team members in their technical and professional growth. Collaborate with DevOps and Cloud Engineering teams to deploy and manage containerized applications using Docker and Kubernetes. Implement authentication and authorization flows using Auth0 and other identity providers. Promote agile development practices, CI/CD pipelines, and automated testing. The expertise you bring Bachelor's or Master's degree in Computer Science, Engineering, or related field. 9+ years of experience in Java development, with strong proficiency in Spring Boot. 2+ years of experience in a technical leadership or team lead role. Strong understanding of RESTful API design, OpenAPI/Swagger, and API versioning. Experience with Azure cloud services, including App Services, API Management, Event Hub, and Service Bus. Hands-on experience with Kafka, MQ, and other messaging/integration platforms. Proficiency in Terraform for infrastructure as code (IaC). Familiarity with Auth0 or similar identity and access management solutions. Solid understanding of secure coding practices and application security principles. Experience with containerization (Docker) and orchestration (Kubernetes). Excellent communication and leadership skills, with a willingness to mentor and grow a team while remaining technically hands-on. Our salary ranges are determined by many factors including location, role, experience and skillset of the candidate. The following ranges displayed reflect the target base salary for new hires; however, your recruiter will provide more specific compensation details during the hiring process. The typical base salary range for this position is: $124,000 - $164,000, based on the factors aforementioned. For candidates located in San Francisco, CA; Washington DC; our Massachusetts based offices and the New York City metro area, the base salary range is $144,000 - $169,000. In addition to base salary, full time Intact employees are also eligible for bonus potential and a full range of benefits to include but not limited to: Comprehensive medical, dental and vision insurance with no waiting period Competitive paid time off programs 401(k) savings and annual contributions of up to 12% of annual salary Mental health support programs, life and disability insurance, paid parental leave and a variety of additional voluntary benefits This position will remain posted until a final candidate is selected. Once the role is filled, this job posting will be removed. Why choose Intact We live our Values: We are committed to acting with the highest of ethical standards through our five core values: integrity, respect, customer driven, excellence and social responsibility. Our commitment to Diversity: Founded in our values, we see diversity as a strength and aspire to create an environment where everyone can be themselves, grow and succeed. Together, we will stand up for what's right to build an inclusive society. Manage your Time: What you accomplish matters more than hours in the office. We are committed to creating a positive and supportive environment in which you perform your best. Our Time-Off and Flexible Work Arrangement options help foster a healthy work-life balance. Check out our Glassdoor reviews to see why people love working for Intact! Our promise to you Our Values are foundational to our success at Intact. You'll make a difference every day when you live our Values, do your best work, are open to change, and invest in yourself. In return, we promise you support, opportunities and performance-led financial rewards in a flexible work environment where you can: Shape the future: Help us lead an insurance transformation to better protect people, businesses and society. Win as a team: Collaborate with inspiring people to do your best work every day and together, stand up for what is right. Grow with us: Refresh and reinvent your skills, learn from our diverse teams, lift others up, and grow. About Intact At Intact Insurance Specialty Solutions we are experts at what we do. Our deep understanding of the specialty insurance market is the foundation for our customized solutions, backed by targeted risk control and claims services. Our employees are passionate about providing insurance coverage that's aligned to our targeted customer groups. Today, we help protect over a dozen industries with tailored coverages and services.
Technical Lead - API and Integration Development (Hybrid)
Intact Services USA LLC Canton, Massachusetts
Job Description Job Description Our employees are at the heart of what we do: helping people, businesses and society prosper in good times and be resilient in bad times. When you join our team, you are bringing this purpose to life alongside a passionate community. Feel empowered to learn and grow while being valued for who you are. At Intact, we commit to supporting you in reaching your goals with tools, opportunities, and flexibility. It's our promise to you. Who we are At Intact Insurance Specialty Solutions, we are experts at what we do in protecting what makes businesses unique. Our deep understanding of the specialty insurance market is the foundation for our customized solutions, backed by targeted risk control and claims services. Our employees are passionate about providing insurance coverage that's aligned to our targeted customer groups. Intact's Global Specialty Lines business spans across more than 20 verticals in four distinct markets: U.S., Canada, UK and Europe. The following opportunity is for our U.S. team. The opportunity We currently have an opportunity for a Technical Lead - API and Integration Development to join our Corporate IT team based in our Canton, MA; Boston, MA; Farmington, CT or Raleigh, NC offices on a hybrid schedule. We are seeking a technically strong and hands-on Technical Lead to drive the development of APIs and integration solutions across our enterprise platforms. This role combines leadership, architecture, and development responsibilities, with a focus on Java Spring Boot, cloud-native deployments, and secure, scalable integration patterns. You'll lead a small team while remaining actively involved in coding and solution design, leveraging technologies such as Auth0, Microsoft Azure, Kafka, Event Hub, Service Bus, and Terraform. Some of the Technical Lead - API and Integration Development responsibilities include but are not limited to: Lead the design and development of RESTful APIs using Java Spring Boot, ensuring adherence to REST principles, OpenAPI standards, and versioning strategies. Architect and implement integration solutions using Azure Service Bus, Kafka, Event Hub, and MQ technologies. Apply and enforce secure coding practices, including input validation, authentication/authorization, encryption, and secure error handling. Guide the team in evaluating and implementing delivery models such as shared libraries, microservices, and discrete deployables. Develop and maintain Terraform scripts for infrastructure provisioning and automation in Microsoft Azure. Lead and mentor a small team of developers, fostering a collaborative and growth-oriented environment. Stay hands-on with development, code reviews, and troubleshooting while supporting team members in their technical and professional growth. Collaborate with DevOps and Cloud Engineering teams to deploy and manage containerized applications using Docker and Kubernetes. Implement authentication and authorization flows using Auth0 and other identity providers. Promote agile development practices, CI/CD pipelines, and automated testing. The expertise you bring Bachelor's or Master's degree in Computer Science, Engineering, or related field. 9+ years of experience in Java development, with strong proficiency in Spring Boot. 2+ years of experience in a technical leadership or team lead role. Strong understanding of RESTful API design, OpenAPI/Swagger, and API versioning. Experience with Azure cloud services, including App Services, API Management, Event Hub, and Service Bus. Hands-on experience with Kafka, MQ, and other messaging/integration platforms. Proficiency in Terraform for infrastructure as code (IaC). Familiarity with Auth0 or similar identity and access management solutions. Solid understanding of secure coding practices and application security principles. Experience with containerization (Docker) and orchestration (Kubernetes). Excellent communication and leadership skills, with a willingness to mentor and grow a team while remaining technically hands-on. Our salary ranges are determined by many factors including location, role, experience and skillset of the candidate. The following ranges displayed reflect the target base salary for new hires; however, your recruiter will provide more specific compensation details during the hiring process. The typical base salary range for this position is: $124,000 - $164,000, based on the factors aforementioned. For candidates located in San Francisco, CA; Washington DC; our Massachusetts based offices and the New York City metro area, the base salary range is $144,000 - $169,000. In addition to base salary, full time Intact employees are also eligible for bonus potential and a full range of benefits to include but not limited to: Comprehensive medical, dental and vision insurance with no waiting period Competitive paid time off programs 401(k) savings and annual contributions of up to 12% of annual salary Mental health support programs, life and disability insurance, paid parental leave and a variety of additional voluntary benefits This position will remain posted until a final candidate is selected. Once the role is filled, this job posting will be removed. Why choose Intact We live our Values: We are committed to acting with the highest of ethical standards through our five core values: integrity, respect, customer driven, excellence and social responsibility. Our commitment to Diversity: Founded in our values, we see diversity as a strength and aspire to create an environment where everyone can be themselves, grow and succeed. Together, we will stand up for what's right to build an inclusive society. Manage your Time: What you accomplish matters more than hours in the office. We are committed to creating a positive and supportive environment in which you perform your best. Our Time-Off and Flexible Work Arrangement options help foster a healthy work-life balance. Check out our Glassdoor reviews to see why people love working for Intact! Our promise to you Our Values are foundational to our success at Intact. You'll make a difference every day when you live our Values, do your best work, are open to change, and invest in yourself. In return, we promise you support, opportunities and performance-led financial rewards in a flexible work environment where you can: Shape the future: Help us lead an insurance transformation to better protect people, businesses and society. Win as a team: Collaborate with inspiring people to do your best work every day and together, stand up for what is right. Grow with us: Refresh and reinvent your skills, learn from our diverse teams, lift others up, and grow. About Intact At Intact Insurance Specialty Solutions we are experts at what we do. Our deep understanding of the specialty insurance market is the foundation for our customized solutions, backed by targeted risk control and claims services. Our employees are passionate about providing insurance coverage that's aligned to our targeted customer groups. Today, we help protect over a dozen industries with tailored coverages and services.
09/26/2026
Full time
Job Description Job Description Our employees are at the heart of what we do: helping people, businesses and society prosper in good times and be resilient in bad times. When you join our team, you are bringing this purpose to life alongside a passionate community. Feel empowered to learn and grow while being valued for who you are. At Intact, we commit to supporting you in reaching your goals with tools, opportunities, and flexibility. It's our promise to you. Who we are At Intact Insurance Specialty Solutions, we are experts at what we do in protecting what makes businesses unique. Our deep understanding of the specialty insurance market is the foundation for our customized solutions, backed by targeted risk control and claims services. Our employees are passionate about providing insurance coverage that's aligned to our targeted customer groups. Intact's Global Specialty Lines business spans across more than 20 verticals in four distinct markets: U.S., Canada, UK and Europe. The following opportunity is for our U.S. team. The opportunity We currently have an opportunity for a Technical Lead - API and Integration Development to join our Corporate IT team based in our Canton, MA; Boston, MA; Farmington, CT or Raleigh, NC offices on a hybrid schedule. We are seeking a technically strong and hands-on Technical Lead to drive the development of APIs and integration solutions across our enterprise platforms. This role combines leadership, architecture, and development responsibilities, with a focus on Java Spring Boot, cloud-native deployments, and secure, scalable integration patterns. You'll lead a small team while remaining actively involved in coding and solution design, leveraging technologies such as Auth0, Microsoft Azure, Kafka, Event Hub, Service Bus, and Terraform. Some of the Technical Lead - API and Integration Development responsibilities include but are not limited to: Lead the design and development of RESTful APIs using Java Spring Boot, ensuring adherence to REST principles, OpenAPI standards, and versioning strategies. Architect and implement integration solutions using Azure Service Bus, Kafka, Event Hub, and MQ technologies. Apply and enforce secure coding practices, including input validation, authentication/authorization, encryption, and secure error handling. Guide the team in evaluating and implementing delivery models such as shared libraries, microservices, and discrete deployables. Develop and maintain Terraform scripts for infrastructure provisioning and automation in Microsoft Azure. Lead and mentor a small team of developers, fostering a collaborative and growth-oriented environment. Stay hands-on with development, code reviews, and troubleshooting while supporting team members in their technical and professional growth. Collaborate with DevOps and Cloud Engineering teams to deploy and manage containerized applications using Docker and Kubernetes. Implement authentication and authorization flows using Auth0 and other identity providers. Promote agile development practices, CI/CD pipelines, and automated testing. The expertise you bring Bachelor's or Master's degree in Computer Science, Engineering, or related field. 9+ years of experience in Java development, with strong proficiency in Spring Boot. 2+ years of experience in a technical leadership or team lead role. Strong understanding of RESTful API design, OpenAPI/Swagger, and API versioning. Experience with Azure cloud services, including App Services, API Management, Event Hub, and Service Bus. Hands-on experience with Kafka, MQ, and other messaging/integration platforms. Proficiency in Terraform for infrastructure as code (IaC). Familiarity with Auth0 or similar identity and access management solutions. Solid understanding of secure coding practices and application security principles. Experience with containerization (Docker) and orchestration (Kubernetes). Excellent communication and leadership skills, with a willingness to mentor and grow a team while remaining technically hands-on. Our salary ranges are determined by many factors including location, role, experience and skillset of the candidate. The following ranges displayed reflect the target base salary for new hires; however, your recruiter will provide more specific compensation details during the hiring process. The typical base salary range for this position is: $124,000 - $164,000, based on the factors aforementioned. For candidates located in San Francisco, CA; Washington DC; our Massachusetts based offices and the New York City metro area, the base salary range is $144,000 - $169,000. In addition to base salary, full time Intact employees are also eligible for bonus potential and a full range of benefits to include but not limited to: Comprehensive medical, dental and vision insurance with no waiting period Competitive paid time off programs 401(k) savings and annual contributions of up to 12% of annual salary Mental health support programs, life and disability insurance, paid parental leave and a variety of additional voluntary benefits This position will remain posted until a final candidate is selected. Once the role is filled, this job posting will be removed. Why choose Intact We live our Values: We are committed to acting with the highest of ethical standards through our five core values: integrity, respect, customer driven, excellence and social responsibility. Our commitment to Diversity: Founded in our values, we see diversity as a strength and aspire to create an environment where everyone can be themselves, grow and succeed. Together, we will stand up for what's right to build an inclusive society. Manage your Time: What you accomplish matters more than hours in the office. We are committed to creating a positive and supportive environment in which you perform your best. Our Time-Off and Flexible Work Arrangement options help foster a healthy work-life balance. Check out our Glassdoor reviews to see why people love working for Intact! Our promise to you Our Values are foundational to our success at Intact. You'll make a difference every day when you live our Values, do your best work, are open to change, and invest in yourself. In return, we promise you support, opportunities and performance-led financial rewards in a flexible work environment where you can: Shape the future: Help us lead an insurance transformation to better protect people, businesses and society. Win as a team: Collaborate with inspiring people to do your best work every day and together, stand up for what is right. Grow with us: Refresh and reinvent your skills, learn from our diverse teams, lift others up, and grow. About Intact At Intact Insurance Specialty Solutions we are experts at what we do. Our deep understanding of the specialty insurance market is the foundation for our customized solutions, backed by targeted risk control and claims services. Our employees are passionate about providing insurance coverage that's aligned to our targeted customer groups. Today, we help protect over a dozen industries with tailored coverages and services.
Technical Lead - API and Integration Development (Hybrid)
Intact Services USA LLC Boston, Massachusetts
Job Description Job Description Our employees are at the heart of what we do: helping people, businesses and society prosper in good times and be resilient in bad times. When you join our team, you are bringing this purpose to life alongside a passionate community. Feel empowered to learn and grow while being valued for who you are. At Intact, we commit to supporting you in reaching your goals with tools, opportunities, and flexibility. It's our promise to you. Who we are At Intact Insurance Specialty Solutions, we are experts at what we do in protecting what makes businesses unique. Our deep understanding of the specialty insurance market is the foundation for our customized solutions, backed by targeted risk control and claims services. Our employees are passionate about providing insurance coverage that's aligned to our targeted customer groups. Intact's Global Specialty Lines business spans across more than 20 verticals in four distinct markets: U.S., Canada, UK and Europe. The following opportunity is for our U.S. team. The opportunity We currently have an opportunity for a Technical Lead - API and Integration Development to join our Corporate IT team based in our Canton, MA; Boston, MA; Farmington, CT or Raleigh, NC offices on a hybrid schedule. We are seeking a technically strong and hands-on Technical Lead to drive the development of APIs and integration solutions across our enterprise platforms. This role combines leadership, architecture, and development responsibilities, with a focus on Java Spring Boot, cloud-native deployments, and secure, scalable integration patterns. You'll lead a small team while remaining actively involved in coding and solution design, leveraging technologies such as Auth0, Microsoft Azure, Kafka, Event Hub, Service Bus, and Terraform. Some of the Technical Lead - API and Integration Development responsibilities include but are not limited to: Lead the design and development of RESTful APIs using Java Spring Boot, ensuring adherence to REST principles, OpenAPI standards, and versioning strategies. Architect and implement integration solutions using Azure Service Bus, Kafka, Event Hub, and MQ technologies. Apply and enforce secure coding practices, including input validation, authentication/authorization, encryption, and secure error handling. Guide the team in evaluating and implementing delivery models such as shared libraries, microservices, and discrete deployables. Develop and maintain Terraform scripts for infrastructure provisioning and automation in Microsoft Azure. Lead and mentor a small team of developers, fostering a collaborative and growth-oriented environment. Stay hands-on with development, code reviews, and troubleshooting while supporting team members in their technical and professional growth. Collaborate with DevOps and Cloud Engineering teams to deploy and manage containerized applications using Docker and Kubernetes. Implement authentication and authorization flows using Auth0 and other identity providers. Promote agile development practices, CI/CD pipelines, and automated testing. The expertise you bring Bachelor's or Master's degree in Computer Science, Engineering, or related field. 9+ years of experience in Java development, with strong proficiency in Spring Boot. 2+ years of experience in a technical leadership or team lead role. Strong understanding of RESTful API design, OpenAPI/Swagger, and API versioning. Experience with Azure cloud services, including App Services, API Management, Event Hub, and Service Bus. Hands-on experience with Kafka, MQ, and other messaging/integration platforms. Proficiency in Terraform for infrastructure as code (IaC). Familiarity with Auth0 or similar identity and access management solutions. Solid understanding of secure coding practices and application security principles. Experience with containerization (Docker) and orchestration (Kubernetes). Excellent communication and leadership skills, with a willingness to mentor and grow a team while remaining technically hands-on. Our salary ranges are determined by many factors including location, role, experience and skillset of the candidate. The following ranges displayed reflect the target base salary for new hires; however, your recruiter will provide more specific compensation details during the hiring process. The typical base salary range for this position is: $124,000 - $164,000, based on the factors aforementioned. For candidates located in San Francisco, CA; Washington DC; our Massachusetts based offices and the New York City metro area, the base salary range is $144,000 - $169,000. In addition to base salary, full time Intact employees are also eligible for bonus potential and a full range of benefits to include but not limited to: Comprehensive medical, dental and vision insurance with no waiting period Competitive paid time off programs 401(k) savings and annual contributions of up to 12% of annual salary Mental health support programs, life and disability insurance, paid parental leave and a variety of additional voluntary benefits This position will remain posted until a final candidate is selected. Once the role is filled, this job posting will be removed. Why choose Intact We live our Values: We are committed to acting with the highest of ethical standards through our five core values: integrity, respect, customer driven, excellence and social responsibility. Our commitment to Diversity: Founded in our values, we see diversity as a strength and aspire to create an environment where everyone can be themselves, grow and succeed. Together, we will stand up for what's right to build an inclusive society. Manage your Time: What you accomplish matters more than hours in the office. We are committed to creating a positive and supportive environment in which you perform your best. Our Time-Off and Flexible Work Arrangement options help foster a healthy work-life balance. Check out our Glassdoor reviews to see why people love working for Intact! Our promise to you Our Values are foundational to our success at Intact. You'll make a difference every day when you live our Values, do your best work, are open to change, and invest in yourself. In return, we promise you support, opportunities and performance-led financial rewards in a flexible work environment where you can: Shape the future: Help us lead an insurance transformation to better protect people, businesses and society. Win as a team: Collaborate with inspiring people to do your best work every day and together, stand up for what is right. Grow with us: Refresh and reinvent your skills, learn from our diverse teams, lift others up, and grow. About Intact At Intact Insurance Specialty Solutions we are experts at what we do. Our deep understanding of the specialty insurance market is the foundation for our customized solutions, backed by targeted risk control and claims services. Our employees are passionate about providing insurance coverage that's aligned to our targeted customer groups. Today, we help protect over a dozen industries with tailored coverages and services.
09/26/2026
Full time
Job Description Job Description Our employees are at the heart of what we do: helping people, businesses and society prosper in good times and be resilient in bad times. When you join our team, you are bringing this purpose to life alongside a passionate community. Feel empowered to learn and grow while being valued for who you are. At Intact, we commit to supporting you in reaching your goals with tools, opportunities, and flexibility. It's our promise to you. Who we are At Intact Insurance Specialty Solutions, we are experts at what we do in protecting what makes businesses unique. Our deep understanding of the specialty insurance market is the foundation for our customized solutions, backed by targeted risk control and claims services. Our employees are passionate about providing insurance coverage that's aligned to our targeted customer groups. Intact's Global Specialty Lines business spans across more than 20 verticals in four distinct markets: U.S., Canada, UK and Europe. The following opportunity is for our U.S. team. The opportunity We currently have an opportunity for a Technical Lead - API and Integration Development to join our Corporate IT team based in our Canton, MA; Boston, MA; Farmington, CT or Raleigh, NC offices on a hybrid schedule. We are seeking a technically strong and hands-on Technical Lead to drive the development of APIs and integration solutions across our enterprise platforms. This role combines leadership, architecture, and development responsibilities, with a focus on Java Spring Boot, cloud-native deployments, and secure, scalable integration patterns. You'll lead a small team while remaining actively involved in coding and solution design, leveraging technologies such as Auth0, Microsoft Azure, Kafka, Event Hub, Service Bus, and Terraform. Some of the Technical Lead - API and Integration Development responsibilities include but are not limited to: Lead the design and development of RESTful APIs using Java Spring Boot, ensuring adherence to REST principles, OpenAPI standards, and versioning strategies. Architect and implement integration solutions using Azure Service Bus, Kafka, Event Hub, and MQ technologies. Apply and enforce secure coding practices, including input validation, authentication/authorization, encryption, and secure error handling. Guide the team in evaluating and implementing delivery models such as shared libraries, microservices, and discrete deployables. Develop and maintain Terraform scripts for infrastructure provisioning and automation in Microsoft Azure. Lead and mentor a small team of developers, fostering a collaborative and growth-oriented environment. Stay hands-on with development, code reviews, and troubleshooting while supporting team members in their technical and professional growth. Collaborate with DevOps and Cloud Engineering teams to deploy and manage containerized applications using Docker and Kubernetes. Implement authentication and authorization flows using Auth0 and other identity providers. Promote agile development practices, CI/CD pipelines, and automated testing. The expertise you bring Bachelor's or Master's degree in Computer Science, Engineering, or related field. 9+ years of experience in Java development, with strong proficiency in Spring Boot. 2+ years of experience in a technical leadership or team lead role. Strong understanding of RESTful API design, OpenAPI/Swagger, and API versioning. Experience with Azure cloud services, including App Services, API Management, Event Hub, and Service Bus. Hands-on experience with Kafka, MQ, and other messaging/integration platforms. Proficiency in Terraform for infrastructure as code (IaC). Familiarity with Auth0 or similar identity and access management solutions. Solid understanding of secure coding practices and application security principles. Experience with containerization (Docker) and orchestration (Kubernetes). Excellent communication and leadership skills, with a willingness to mentor and grow a team while remaining technically hands-on. Our salary ranges are determined by many factors including location, role, experience and skillset of the candidate. The following ranges displayed reflect the target base salary for new hires; however, your recruiter will provide more specific compensation details during the hiring process. The typical base salary range for this position is: $124,000 - $164,000, based on the factors aforementioned. For candidates located in San Francisco, CA; Washington DC; our Massachusetts based offices and the New York City metro area, the base salary range is $144,000 - $169,000. In addition to base salary, full time Intact employees are also eligible for bonus potential and a full range of benefits to include but not limited to: Comprehensive medical, dental and vision insurance with no waiting period Competitive paid time off programs 401(k) savings and annual contributions of up to 12% of annual salary Mental health support programs, life and disability insurance, paid parental leave and a variety of additional voluntary benefits This position will remain posted until a final candidate is selected. Once the role is filled, this job posting will be removed. Why choose Intact We live our Values: We are committed to acting with the highest of ethical standards through our five core values: integrity, respect, customer driven, excellence and social responsibility. Our commitment to Diversity: Founded in our values, we see diversity as a strength and aspire to create an environment where everyone can be themselves, grow and succeed. Together, we will stand up for what's right to build an inclusive society. Manage your Time: What you accomplish matters more than hours in the office. We are committed to creating a positive and supportive environment in which you perform your best. Our Time-Off and Flexible Work Arrangement options help foster a healthy work-life balance. Check out our Glassdoor reviews to see why people love working for Intact! Our promise to you Our Values are foundational to our success at Intact. You'll make a difference every day when you live our Values, do your best work, are open to change, and invest in yourself. In return, we promise you support, opportunities and performance-led financial rewards in a flexible work environment where you can: Shape the future: Help us lead an insurance transformation to better protect people, businesses and society. Win as a team: Collaborate with inspiring people to do your best work every day and together, stand up for what is right. Grow with us: Refresh and reinvent your skills, learn from our diverse teams, lift others up, and grow. About Intact At Intact Insurance Specialty Solutions we are experts at what we do. Our deep understanding of the specialty insurance market is the foundation for our customized solutions, backed by targeted risk control and claims services. Our employees are passionate about providing insurance coverage that's aligned to our targeted customer groups. Today, we help protect over a dozen industries with tailored coverages and services.
Technical Lead - API and Integration Development (Hybrid)
Intact Services USA LLC
Job Description Job Description Our employees are at the heart of what we do: helping people, businesses and society prosper in good times and be resilient in bad times. When you join our team, you are bringing this purpose to life alongside a passionate community. Feel empowered to learn and grow while being valued for who you are. At Intact, we commit to supporting you in reaching your goals with tools, opportunities, and flexibility. It's our promise to you. Who we are At Intact Insurance Specialty Solutions, we are experts at what we do in protecting what makes businesses unique. Our deep understanding of the specialty insurance market is the foundation for our customized solutions, backed by targeted risk control and claims services. Our employees are passionate about providing insurance coverage that's aligned to our targeted customer groups. Intact's Global Specialty Lines business spans across more than 20 verticals in four distinct markets: U.S., Canada, UK and Europe. The following opportunity is for our U.S. team. The opportunity We currently have an opportunity for a Technical Lead - API and Integration Development to join our Corporate IT team based in our Canton, MA; Boston, MA; Farmington, CT or Raleigh, NC offices on a hybrid schedule. We are seeking a technically strong and hands-on Technical Lead to drive the development of APIs and integration solutions across our enterprise platforms. This role combines leadership, architecture, and development responsibilities, with a focus on Java Spring Boot, cloud-native deployments, and secure, scalable integration patterns. You'll lead a small team while remaining actively involved in coding and solution design, leveraging technologies such as Auth0, Microsoft Azure, Kafka, Event Hub, Service Bus, and Terraform. Some of the Technical Lead - API and Integration Development responsibilities include but are not limited to: Lead the design and development of RESTful APIs using Java Spring Boot, ensuring adherence to REST principles, OpenAPI standards, and versioning strategies. Architect and implement integration solutions using Azure Service Bus, Kafka, Event Hub, and MQ technologies. Apply and enforce secure coding practices, including input validation, authentication/authorization, encryption, and secure error handling. Guide the team in evaluating and implementing delivery models such as shared libraries, microservices, and discrete deployables. Develop and maintain Terraform scripts for infrastructure provisioning and automation in Microsoft Azure. Lead and mentor a small team of developers, fostering a collaborative and growth-oriented environment. Stay hands-on with development, code reviews, and troubleshooting while supporting team members in their technical and professional growth. Collaborate with DevOps and Cloud Engineering teams to deploy and manage containerized applications using Docker and Kubernetes. Implement authentication and authorization flows using Auth0 and other identity providers. Promote agile development practices, CI/CD pipelines, and automated testing. The expertise you bring Bachelor's or Master's degree in Computer Science, Engineering, or related field. 9+ years of experience in Java development, with strong proficiency in Spring Boot. 2+ years of experience in a technical leadership or team lead role. Strong understanding of RESTful API design, OpenAPI/Swagger, and API versioning. Experience with Azure cloud services, including App Services, API Management, Event Hub, and Service Bus. Hands-on experience with Kafka, MQ, and other messaging/integration platforms. Proficiency in Terraform for infrastructure as code (IaC). Familiarity with Auth0 or similar identity and access management solutions. Solid understanding of secure coding practices and application security principles. Experience with containerization (Docker) and orchestration (Kubernetes). Excellent communication and leadership skills, with a willingness to mentor and grow a team while remaining technically hands-on. Our salary ranges are determined by many factors including location, role, experience and skillset of the candidate. The following ranges displayed reflect the target base salary for new hires; however, your recruiter will provide more specific compensation details during the hiring process. The typical base salary range for this position is: $124,000 - $164,000, based on the factors aforementioned. For candidates located in San Francisco, CA; Washington DC; our Massachusetts based offices and the New York City metro area, the base salary range is $144,000 - $169,000. In addition to base salary, full time Intact employees are also eligible for bonus potential and a full range of benefits to include but not limited to: Comprehensive medical, dental and vision insurance with no waiting period Competitive paid time off programs 401(k) savings and annual contributions of up to 12% of annual salary Mental health support programs, life and disability insurance, paid parental leave and a variety of additional voluntary benefits This position will remain posted until a final candidate is selected. Once the role is filled, this job posting will be removed. Why choose Intact We live our Values: We are committed to acting with the highest of ethical standards through our five core values: integrity, respect, customer driven, excellence and social responsibility. Our commitment to Diversity: Founded in our values, we see diversity as a strength and aspire to create an environment where everyone can be themselves, grow and succeed. Together, we will stand up for what's right to build an inclusive society. Manage your Time: What you accomplish matters more than hours in the office. We are committed to creating a positive and supportive environment in which you perform your best. Our Time-Off and Flexible Work Arrangement options help foster a healthy work-life balance. Check out our Glassdoor reviews to see why people love working for Intact! Our promise to you Our Values are foundational to our success at Intact. You'll make a difference every day when you live our Values, do your best work, are open to change, and invest in yourself. In return, we promise you support, opportunities and performance-led financial rewards in a flexible work environment where you can: Shape the future: Help us lead an insurance transformation to better protect people, businesses and society. Win as a team: Collaborate with inspiring people to do your best work every day and together, stand up for what is right. Grow with us: Refresh and reinvent your skills, learn from our diverse teams, lift others up, and grow. About Intact At Intact Insurance Specialty Solutions we are experts at what we do. Our deep understanding of the specialty insurance market is the foundation for our customized solutions, backed by targeted risk control and claims services. Our employees are passionate about providing insurance coverage that's aligned to our targeted customer groups. Today, we help protect over a dozen industries with tailored coverages and services.
09/20/2026
Full time
Job Description Job Description Our employees are at the heart of what we do: helping people, businesses and society prosper in good times and be resilient in bad times. When you join our team, you are bringing this purpose to life alongside a passionate community. Feel empowered to learn and grow while being valued for who you are. At Intact, we commit to supporting you in reaching your goals with tools, opportunities, and flexibility. It's our promise to you. Who we are At Intact Insurance Specialty Solutions, we are experts at what we do in protecting what makes businesses unique. Our deep understanding of the specialty insurance market is the foundation for our customized solutions, backed by targeted risk control and claims services. Our employees are passionate about providing insurance coverage that's aligned to our targeted customer groups. Intact's Global Specialty Lines business spans across more than 20 verticals in four distinct markets: U.S., Canada, UK and Europe. The following opportunity is for our U.S. team. The opportunity We currently have an opportunity for a Technical Lead - API and Integration Development to join our Corporate IT team based in our Canton, MA; Boston, MA; Farmington, CT or Raleigh, NC offices on a hybrid schedule. We are seeking a technically strong and hands-on Technical Lead to drive the development of APIs and integration solutions across our enterprise platforms. This role combines leadership, architecture, and development responsibilities, with a focus on Java Spring Boot, cloud-native deployments, and secure, scalable integration patterns. You'll lead a small team while remaining actively involved in coding and solution design, leveraging technologies such as Auth0, Microsoft Azure, Kafka, Event Hub, Service Bus, and Terraform. Some of the Technical Lead - API and Integration Development responsibilities include but are not limited to: Lead the design and development of RESTful APIs using Java Spring Boot, ensuring adherence to REST principles, OpenAPI standards, and versioning strategies. Architect and implement integration solutions using Azure Service Bus, Kafka, Event Hub, and MQ technologies. Apply and enforce secure coding practices, including input validation, authentication/authorization, encryption, and secure error handling. Guide the team in evaluating and implementing delivery models such as shared libraries, microservices, and discrete deployables. Develop and maintain Terraform scripts for infrastructure provisioning and automation in Microsoft Azure. Lead and mentor a small team of developers, fostering a collaborative and growth-oriented environment. Stay hands-on with development, code reviews, and troubleshooting while supporting team members in their technical and professional growth. Collaborate with DevOps and Cloud Engineering teams to deploy and manage containerized applications using Docker and Kubernetes. Implement authentication and authorization flows using Auth0 and other identity providers. Promote agile development practices, CI/CD pipelines, and automated testing. The expertise you bring Bachelor's or Master's degree in Computer Science, Engineering, or related field. 9+ years of experience in Java development, with strong proficiency in Spring Boot. 2+ years of experience in a technical leadership or team lead role. Strong understanding of RESTful API design, OpenAPI/Swagger, and API versioning. Experience with Azure cloud services, including App Services, API Management, Event Hub, and Service Bus. Hands-on experience with Kafka, MQ, and other messaging/integration platforms. Proficiency in Terraform for infrastructure as code (IaC). Familiarity with Auth0 or similar identity and access management solutions. Solid understanding of secure coding practices and application security principles. Experience with containerization (Docker) and orchestration (Kubernetes). Excellent communication and leadership skills, with a willingness to mentor and grow a team while remaining technically hands-on. Our salary ranges are determined by many factors including location, role, experience and skillset of the candidate. The following ranges displayed reflect the target base salary for new hires; however, your recruiter will provide more specific compensation details during the hiring process. The typical base salary range for this position is: $124,000 - $164,000, based on the factors aforementioned. For candidates located in San Francisco, CA; Washington DC; our Massachusetts based offices and the New York City metro area, the base salary range is $144,000 - $169,000. In addition to base salary, full time Intact employees are also eligible for bonus potential and a full range of benefits to include but not limited to: Comprehensive medical, dental and vision insurance with no waiting period Competitive paid time off programs 401(k) savings and annual contributions of up to 12% of annual salary Mental health support programs, life and disability insurance, paid parental leave and a variety of additional voluntary benefits This position will remain posted until a final candidate is selected. Once the role is filled, this job posting will be removed. Why choose Intact We live our Values: We are committed to acting with the highest of ethical standards through our five core values: integrity, respect, customer driven, excellence and social responsibility. Our commitment to Diversity: Founded in our values, we see diversity as a strength and aspire to create an environment where everyone can be themselves, grow and succeed. Together, we will stand up for what's right to build an inclusive society. Manage your Time: What you accomplish matters more than hours in the office. We are committed to creating a positive and supportive environment in which you perform your best. Our Time-Off and Flexible Work Arrangement options help foster a healthy work-life balance. Check out our Glassdoor reviews to see why people love working for Intact! Our promise to you Our Values are foundational to our success at Intact. You'll make a difference every day when you live our Values, do your best work, are open to change, and invest in yourself. In return, we promise you support, opportunities and performance-led financial rewards in a flexible work environment where you can: Shape the future: Help us lead an insurance transformation to better protect people, businesses and society. Win as a team: Collaborate with inspiring people to do your best work every day and together, stand up for what is right. Grow with us: Refresh and reinvent your skills, learn from our diverse teams, lift others up, and grow. About Intact At Intact Insurance Specialty Solutions we are experts at what we do. Our deep understanding of the specialty insurance market is the foundation for our customized solutions, backed by targeted risk control and claims services. Our employees are passionate about providing insurance coverage that's aligned to our targeted customer groups. Today, we help protect over a dozen industries with tailored coverages and services.
KPMG
Senior Specialist, Federal Full-Stack Developer
KPMG Washington, Washington DC
The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Senior Specialist to join our Federal Advisory practice. Responsibilities: Ensure successful technology development utilizing Agile / DevOps methodologies of complex systems and solutions Lead entire development life cycles with software engineering best practices, including setting coding standards, performing code reviews, running SCRUMs with JIRA expertise, source control management (Git, Sourcetree, etc.), configuring continuous integration, and continuous delivery systems (Jenkins, Nexus, Docker, etc.) Learn / analyze existing codebases / systems for the full stack and develop code as needed to support products and solutions (Technologies include: Cloud native IaaS / PaaS (Azure, AWS), Web UI frameworks (Angular, React, etc.), API definition (RAML, Swagger, JSON), Backend (Java, Databases, etc.), Integrations (ESB, legacy system integration, etc.) Help architect new applications by evaluating technologies working with solution architects and product managers Oversight of all documentation to ensure the development team are efficient / effective (technical details, setup information, standards, environments, etc.) Qualifications: A minimum of three years of technical full-stack development experience; U.S. Federal government consulting experience preferred Bachelor's degree from an accredited college/university Deep understanding of Full-Stack development, including modern UI and backend coding fundamentals (JavaScript core best practices, object-oriented design, data structures, API design, complex problem solving, etc.) Proficiency with at least one modern JavaScript framework (Angular2/4, ReactJs, etc.), backend / AP RESTful service (Java with SpringMVC, etc.), cloud native solutions utilizing Azure / AWS, and DevOps tooling platforms (Jenkins, Ansible, Chef, or similar) Experience working with relational and non-relational databases (SQL Server, cosmos database, etc.) Ability to travel as required to support firm engagements Applicant must possess or be eligible for a U.S. Government clearance KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work . Follow this link to obtain salary ranges by city outside of CA: KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
07/14/2026
Full time
The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Senior Specialist to join our Federal Advisory practice. Responsibilities: Ensure successful technology development utilizing Agile / DevOps methodologies of complex systems and solutions Lead entire development life cycles with software engineering best practices, including setting coding standards, performing code reviews, running SCRUMs with JIRA expertise, source control management (Git, Sourcetree, etc.), configuring continuous integration, and continuous delivery systems (Jenkins, Nexus, Docker, etc.) Learn / analyze existing codebases / systems for the full stack and develop code as needed to support products and solutions (Technologies include: Cloud native IaaS / PaaS (Azure, AWS), Web UI frameworks (Angular, React, etc.), API definition (RAML, Swagger, JSON), Backend (Java, Databases, etc.), Integrations (ESB, legacy system integration, etc.) Help architect new applications by evaluating technologies working with solution architects and product managers Oversight of all documentation to ensure the development team are efficient / effective (technical details, setup information, standards, environments, etc.) Qualifications: A minimum of three years of technical full-stack development experience; U.S. Federal government consulting experience preferred Bachelor's degree from an accredited college/university Deep understanding of Full-Stack development, including modern UI and backend coding fundamentals (JavaScript core best practices, object-oriented design, data structures, API design, complex problem solving, etc.) Proficiency with at least one modern JavaScript framework (Angular2/4, ReactJs, etc.), backend / AP RESTful service (Java with SpringMVC, etc.), cloud native solutions utilizing Azure / AWS, and DevOps tooling platforms (Jenkins, Ansible, Chef, or similar) Experience working with relational and non-relational databases (SQL Server, cosmos database, etc.) Ability to travel as required to support firm engagements Applicant must possess or be eligible for a U.S. Government clearance KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work . Follow this link to obtain salary ranges by city outside of CA: KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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