801 jobs found

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

Lead Machine Learning Engineer (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Team: The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; 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).

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

COME JOIN MID-CONTINENT! "Where your work is valued-above-market pay, real work-life balance, and a team that feels like home." THE POSITION As a Software Certification Engineer , you will provide engineering and technical support in the evaluation and testing of existing and emerging technologies, systems, and capabilities. You will plan and implement the RTCA DO-178C and DO-254 lifecycle processes for avionics, power electronics, and battery systems. You'll verify complex microcontroller and FPGA designs to achieve coverage of functional and structural aspects. Product areas include cockpit displays and instruments, local and remote sensing, data conversion and storage, lithium battery management, AC/DC and DC/DC power conversion up to 8000W, in-seat power solutions, and various other components needed in aircraft systems. To be successful in this role, you'll need to provide expert analysis to meet the highest level of safety and reliability, implementing safety-critical software design processes. THIS POSITION MAY BE FOR YOU IF You have a bachelor's degree in computer engineering or related field You have a minimum of one year of experience with RTCA DO-178C or similar safety-critical software design process. You are proficient in C programming. You have the ability to work directly with target hardware, including lab bench equipment and other tools for debugging and analysis. You are proficient with Microsoft Office. You have strong attention to detail. You are organized, focused and results oriented. You are a problem-solver with critical thinking and prioritizing skills. You have excellent verbal, written and interpersonal communication skills. WE WOULD REALLY LIKE IT IF (but it's not a deal breaker) You have experience with C#, or Python languages for a PC application software. You have familiarity with VHDL and RTCA DO-254. You have familiarity with formal coding standards and safety-critical design considerations. WHAT YOU CAN EXPECT FROM ONE DAY TO THE NEXT Create and review design data within the software qualification lifecycle process. Practice safety-critical methods, create plans, requirements, design standards, coding standards, change tracking and verification, formal and functional verification Test and troubleshoot prototype and certified code on target hardware. Includes working in a lab bench environment with the necessary test equipment Design embedded software for microcontroller-based systems, as well as PC-based applications for verification and manufacturing Support software design using current tools, design environments and documentation methods Prototype and execute test programs to verify compliance with applicable performance, regulatory, and quality requirements WE ARE ONE OF THE BEST PLACES TO WORK We provide competitive pay and a comprehensive benefits package. We promote an environment where you can excel in your career while maintaining a healthy work-life balance. Our facility is climate controlled, clean, organized, and safe. We operate in a professional, light manufacturing environment. We believe anything worth doing is worth doing right - every time. We have frequent events to keep work interesting. Our food drive is super impressive, we enjoy an annual food truck fest appreciation day, monthly fruit/donut day, employee luncheons throughout the year, wellness challenges with incentives, and frequent ticket raffles for local sporting and cultural events. We have a small company feel - even though we're doing big things! WHO WE ARE Founded in 1964, Mid-Continent Instruments and Avionics provides superior instruments, avionics and power solutions to the global aerospace community. We operate one of the largest maintenance, overhaul and exchange programs in the world, and deliver safe and certified products, using innovative technologies and sophisticated clean sheet designs. At Mid-Continent Instruments and Avionics, we are committed to quality, service, integrity, and professionalism. Our employees serve the best customers from all over the world in general, business and commercial, advanced air mobility, defense and special missions markets. In this role, you'll be an important part of the reason our customers consider us a premier instrument, avionics, and aircraft power solutions provider. This job description is intended to describe the general nature and level of work performed and is not intended to be an exhaustive list of all responsibilities, duties and skills required. Actual compensation offered within the targeted salary range will be determined by factors such as job-related knowledge, skills, and experience. Compensation details: 00 Yearly Salary PIbe82722db9dd-2601

At Daiichi Sankyo, we are united by a single purpose, to improve lives around the world through innovative medicines. With a legacy of innovation since 1899, a presence in more than 30 countries, and more than 19,000 employees, we are advancing breakthrough therapies in oncology, cardiovascular disease, rare diseases, and immune disorders. Guided by our 2030 vision to "be an innovative global healthcare company contributing to the sustainable development of society", we are shaping a healthier, more hopeful future for patients, their families, and society. Job Summary Creating measurable business impact through data, analytics and AI while accelerating innovation and enabling smarter decisions at global scale is at the heart of Data Insights, a newly established department within GloBuS. As one of its new capabilities, Financial Analytics will play an essential role in shaping the future of GloBuS through advanced analytics products and AI-enabled solutions. This is an opportunity to join at the beginning, help shape a new capability and make a lasting impact. The Financial Analytics Data Scientist is a key enabler of robust data-driven decisions that lead to better financial outcomes for the business. The role develops advanced analytics and AI solutions to solve complex financial problems and generate actionable insights. Acting at the intersection of analytics, data and decision-making, the role supports the development and evaluation of analytical approaches and contributes to the delivery of scalable Financial Analytics products. Across Finance the role contributes to advancing analytical capabilities, supports innovation and promotes effective use of data and AI. Job Description Responsibilities This role collaborates closely with Financial Analytics Product Managers, Data Engineers, and further functions to translate business challenges into analytical approaches and measurable outcomes. The role contributes across the analytical lifecycle by supporting data exploration, hypothesis development, model development, evaluation and interpretation of analytical results. To be successful in this role, it requires strong analytical thinking, curiosity and the ability to translate complex data into meaningful insights while balancing methodological rigor and business applicability. The role focuses on the following key responsibility areas: Translate business challenges into analytical questions, measurable outcomes and suitable analytical approaches Perform exploratory data analysis, assess data suitability and develop hypotheses to guide analytical work Select, develop, test and validate advanced analytics and AI models using appropriate statistical and machine learning techniques Interpret analytical outputs, communicate assumptions and limitations transparently, and translate findings into actionable recommendations Enable scalable analytics delivery by collaborating with Product Managers and Data Engineers, promoting reuse of analytical methods, and ensuring analytical quality, explainability and compliance with governance standards Responsibilities Continued Qualifications Education Qualifications Bachelor's Degree required Master's Degree data science, statistics, mathematics, computer science, economics, finance or a related field preferred Experience Qualifications 5+ years data science, advanced analytics, machine learning or AI, preferably in the finance domain required Experience in applying statistical and analytical methods to solve business problems required Experience in developing and evaluating analytical models and generating actionable insights required Proven ability to work in cross-functional delivery environments and collaborate across technical teams required Understanding of model lifecycle concepts and analytical delivery approaches preferred Experience in industries such as pharmaceuticals and chemicals preferred Travel Requirements of the time. Limited Additional Information Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. Salary Range: USD$127,280.00 - USD$190,920.00 Download Our Benefits Summary PDF

Position: Senior Security Engineer - PKI & Detection, Aircraft Security Location: Fort Worth Texas (Hybrid - onsite Tuesday through Thursday; remote Monday and Friday) Duration: Contract Job ID: 178661 Job Overview: We are seeking a Senior Security Engineer to support aircraft security initiatives focused on detection, remediation, and Public Key Infrastructure (PKI). This role will independently design and operate security solutions, investigate security events, develop detections, and drive remediation activities through validated closure. The ideal candidate brings strong hands-on PKI engineering expertise, Microsoft Sentinel detection engineering experience, and the ability to work across technical teams to improve security, reliability, and scalability. Responsibilities: Design, build, test, document, and maintain security engineering solutions, scripts, processes, and reusable components in accordance with organizational standards. Develop and tune Microsoft Sentinel detections, KQL queries, analytics rules, dashboards, and investigation workflows. Conduct end-to-end security event investigations, perform root-cause analysis, and produce clear written documentation of findings and corrective actions. Own remediation lifecycle activities, including remediation-plan reviews, vulnerability and finding tracking, and validation of closure. Design and operate PKI solutions, including certificate enrollment, authentication, software signing, validation, and supporting key-management processes. Partner with security and engineering teams to incorporate security-conscious practices early in the system development lifecycle. Identify technical risks related to scalability, latency, durability, and security, and lead practical mitigation strategies. Guide junior engineers on technical craftsmanship and contribute to continuous improvement of engineering practices. Explore emerging technologies and develop prototypes that may be incorporated into security architecture and operational solutions. Qualifications: At least 5 years of security engineering experience with demonstrated independent project ownership; queue-based SOC or triage-only experience is not sufficient. Hands-on PKI engineering experience, including PKI solution design and operations, certificate enrollment protocols such as SCEP and EST, Certificate Policy/Certification Practice Statements (CP/CPS), trusted roles, Levels of Assurance, and NIST SP 800-63. Strong Microsoft Sentinel experience, including KQL/query development, detection rule authoring, dashboard development, and independently led end-to-end security event investigations. Experience owning remediation lifecycle engineering, including remediation-plan review, vulnerability/finding tracking, and validated closure. Nice to Have Skills and Experience: Experience with AI or agentic security tooling, including LLM-assisted code or configuration analysis and prompt engineering for security use cases. Endpoint platform engineering, SSO policy groups, API scripting and automation using Python or PowerShell. Experience with aviation, OT, cyber-physical systems, embedded systems, HSMs, key-management, or code-signing infrastructure. Interview Process: Two interview rounds: the first interview will be virtual, followed by an in-person interview. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $60-$65/Hr on W2 The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global, do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at

Employment as a Contingent Worker aligns well with individuals seeking career flexibility and non-traditional work arrangements, while also being motivated to produce exceptional results in prominent roles. Magnit Direct Source is a service provided by Magnit Global that connects top-tier talent directly to an industry-leading company. Daiichi Sankyo, Inc. and Magnit Global, in collaboration, offer flexible contingent assignments across diverse projects creating opportunities for engaging work. As a Contingent Worker, you will not be employed Daiichi Sankyo, Inc. You will be employed by our Managed Service Provider, Magnit Global, which oversees the majority of our temporary contract recruitment. Location: Basking Ridge, NJ (Hybrid - 3 days onsite) - local candidates only Tableau Developer (Data Visualization & Analytics) Team: Center for Metrics, Analytics, Reporting & Solutions (cMARS) Role Overview: We are looking for a highly skilled, hands-on Tableau Developer to join the cMARS team and play a key role in advancing a data-driven culture across R&D. In this role, you will design and build intuitive, high-impact dashboards that transform complex data into meaningful insights for business stakeholders. You will work with data from enterprise R&D data platforms to deliver scalable, performant, and analytically robust visualizations. This is not a reporting role - it is a technical, problem-solving role requiring strong analytical thinking, deep Tableau expertise, and the ability to translate ambiguous requirements into effective data solutions. What You'll Do: • Design and develop interactive, user-centric dashboards and reports using Tableau • Translate business requirements into clear, insightful visualizations and data stories • Build advanced visual components including: o drill-downs and hierarchical navigation o heat maps, box plots, trend analysis, and statistical charts o dynamic dashboards with parameters and actions • Develop and optimize complex calculations, including: o Level of Detail (LOD) expressions o table calculations o conditional logic and dynamic formatting • Ensure dashboards are accurate, performant, and scalable • Maintain dashboard documentation, including mapping specifications, test dashboards, and develop testing scripts. • Collaborate closely with data engineers to: o define and refine data tables for dashboard consumption o ensure data quality and usability for analytics • Collaborate closely with business analysts to: o refine wireframes, metrics, and functional requirements • Apply best practices in data visualization design (clarity, usability, performance) • Troubleshoot data and visualization issues, identifying root causes and solutions Role Expectations (Important): • This is a purely hands-on development role - not a reporting, coordination, or oversight role • You will be expected to work directly in Tableau and SQL on a daily basis • Candidates must demonstrate the ability to: o build dashboards independently o solve complex data and visualization problems o deliver high-quality work under evolving requirements Required Qualifications • 5+ years of hands-on experience with Tableau (dashboard development, not just usage) • Strong experience building interactive dashboards and complex visualizations • 3+ years of SQL experience, including: o joins, aggregations, subqueries o ability to explore and validate datasets • Solid understanding of data modeling and relational databases (e.g., Redshift, Oracle, Snowflake) • Strong analytical and problem-solving skills with attention to detail • Experience working with tools such as JIRA, Confluence, and Excel • Excellent communication skills What Makes You Successful: • You think beyond charts - you design insightful user experiences • You question data and validate results, not just visualize them • You are comfortable working with ambiguous requirements and shaping solutions • You care about both technical quality and business impact Preferred Qualifications: •Tableau Certification (e.g., Tableau Certified Data Analyst) • Experience working with R&D or clinical trials data in pharma/life sciences • Experience designing dashboards for large-scale or enterprise data environments • Familiarity with performance optimization techniques in Tab Tableau Certification (e.g., Tableau Certified Data Analyst) Hourly Pay Rate Range (dependent on location, experience, expectation) The pay range that Magnit reasonably expects to pay for this position is: $ 60-72/hr Benefits: Medical, Dental, Vision, 401K (provided minimum eligibility hours are met) All qualified applicants will not be discriminated against and will receive consideration for employment without regard to protected veteran status, disability, race, color, religion, sex, age, sexual orientation, gender identity or national origin. QUALIFICATION/LICENSURE Work Authorization : US Citizen Preferred years of experience : 1 years Travel required : No travel required Shift timings :

Position: Senior Java Engineer - Microservices & Production Support Location: Fort Worth, Texas (Hybrid - onsite Tuesday through Thursday; remote Monday and Friday) Duration: Contract Job ID: 178605 Job Overview: We are seeking a Senior Java Engineer to design, develop, and support large-scale, production-grade microservices. This role requires strong hands-on experience with Java, Spring Boot, Kafka, and production support, along with the ability to deliver high-quality code, meet project timelines, and troubleshoot complex issues. The engineer will work within DevOps-focused squads to build resilient, scalable, and reliable solutions that support enterprise business needs. Responsibilities: Design, develop, test, document, and maintain Java-based microservices and reusable software components. Build and enhance Spring Boot applications and Kafka-based integrations for scalable, event-driven systems. Provide production support, investigate incidents, perform root-cause analysis, and drive corrective actions through resolution. Write clean, reliable, and maintainable code while following organizational development, testing, and documentation standards. Optimize applications and system designs for performance, resiliency, durability, reliability, and scalability. Collaborate with cross-functional engineering teams to support safe, incremental releases and reduce technical debt. Contribute to CI/CD and DevOps practices, including automated testing, source control, and deployment processes. Coach junior engineers on technical craftsmanship, debugging practices, code quality, and engineering best practices. Evaluate emerging technologies and contribute to solution architecture, prototypes, and continuous improvement initiatives. Work within Agile, DevOps-oriented squads of approximately five to six team members. Qualifications: Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or a related technical discipline; equivalent experience or training may be considered. 7-9 years of experience designing, developing, and implementing large-scale solutions in production environments. Strong hands-on experience developing microservices using Java and Spring Boot. Hands-on experience with Apache Kafka and event-driven integration patterns. Demonstrated production support experience, including debugging, incident investigation, root-cause analysis, and issue resolution. Strong knowledge of object-oriented design principles, Agile methodologies, and DevOps/CI-CD practices. Ability to deliver quality code, reliably meet project timelines, and communicate technical concepts clearly in writing, verbally, code, and diagrams. Nice to Have Skills and Experience: Experience with PostgreSQL, Redis, Kubernetes, Docker, Git, GitHub Actions, Maven, JUnit, and test automation tools. Experience with REST APIs, GraphQL, cloud platforms such as Azure or AWS, and CI/CD pipelines. Experience with Python, C#, JavaScript/TypeScript, Angular, React, MongoDB, Azure DevOps, Selenium, Postman, SonarQube, Cypress, Cucumber, Playwright, WireMock, or Mockito. Airline industry experience. Interview Process: Two interview rounds: the first interview will be virtual, followed by an onsite hands-on coding interview. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $60 - $65/Hr on W2 The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global, do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at

Position: Senior Security Engineer - PKI & Detection, Aircraft Security Location: Fort Worth Texas (Hybrid - onsite Tuesday through Thursday; remote Monday and Friday) Duration: Contract Job ID: 178660 Job Overview: We are seeking a Senior Security Engineer to support aircraft security initiatives focused on detection, remediation, and Public Key Infrastructure (PKI). This role will independently design and operate security solutions, investigate security events, develop detections, and drive remediation activities through validated closure. The ideal candidate brings strong hands-on PKI engineering expertise, Microsoft Sentinel detection engineering experience, and the ability to work across technical teams to improve security, reliability, and scalability. Responsibilities: Design, build, test, document, and maintain security engineering solutions, scripts, processes, and reusable components in accordance with organizational standards. Develop and tune Microsoft Sentinel detections, KQL queries, analytics rules, dashboards, and investigation workflows. Conduct end-to-end security event investigations, perform root-cause analysis, and produce clear written documentation of findings and corrective actions. Own remediation lifecycle activities, including remediation-plan reviews, vulnerability and finding tracking, and validation of closure. Design and operate PKI solutions, including certificate enrollment, authentication, software signing, validation, and supporting key-management processes. Partner with security and engineering teams to incorporate security-conscious practices early in the system development lifecycle. Identify technical risks related to scalability, latency, durability, and security, and lead practical mitigation strategies. Guide junior engineers on technical craftsmanship and contribute to continuous improvement of engineering practices. Explore emerging technologies and develop prototypes that may be incorporated into security architecture and operational solutions. Qualifications: At least 5 years of security engineering experience with demonstrated independent project ownership; queue-based SOC or triage-only experience is not sufficient. Hands-on PKI engineering experience, including PKI solution design and operations, certificate enrollment protocols such as SCEP and EST, Certificate Policy/Certification Practice Statements (CP/CPS), trusted roles, Levels of Assurance, and NIST SP 800-63. Strong Microsoft Sentinel experience, including KQL/query development, detection rule authoring, dashboard development, and independently led end-to-end security event investigations. Experience owning remediation lifecycle engineering, including remediation-plan review, vulnerability/finding tracking, and validated closure. Nice to Have Skills and Experience: Experience with AI or agentic security tooling, including LLM-assisted code or configuration analysis and prompt engineering for security use cases. Endpoint platform engineering, SSO policy groups, API scripting and automation using Python or PowerShell. Experience with aviation, OT, cyber-physical systems, embedded systems, HSMs, key-management, or code-signing infrastructure. Interview Process: Two interview rounds: the first interview will be virtual, followed by an in-person interview. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $60-$65/Hr on W2 The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global, do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at

Position: QA Analyst III Location: Menlo Park, California (Hybrid) Only Local candidate Duration: 6+ Months Contract Job ID: 178748 Job Overview: As a QA Analyst III, you will play a critical role in ensuring product quality by executing and improving test processes, collaborating with engineering and QA leads, and supporting the delivery of high-quality features. This role is ideal for individuals who can operate independently, contribute to test strategy, and take ownership of execution within defined scopes. The position requires onsite collaboration in Menlo Park, California, with a hybrid schedule of three days in the office (specific days subject to change). Responsibilities: Execute manual and automated test cases for new and existing features. Reproduce, document, and triage bugs; work closely with engineering to drive resolution. Write and maintain clear, comprehensive test cases and test plans. Support QA leads in driving test strategy and test plan creation. Create and maintain dashboards to track quality metrics and test progress. Conduct product audits with QA leads' guidance to analyze and improve QA test coverage. Conduct bug audits with QA leads' guidance to identify product areas needing improvement. Provide release readiness support for medium and small-sized features. Lead test execution for small to medium-sized projects or features. Attend status meetings and represent QA in the absence of QA leads. Work onsite as needed to collaborate directly with engineering and QA teams, ensuring product rigor. Support stealth projects requiring a higher level of diligence in execution. Run and lead innovative testing techniques such as benchmarking testing and battery testing. Qualifications: 5+ years of experience in software quality assurance or a related field. Strong understanding of QA methodologies, tools, and processes. Experience writing and executing test cases and test plans, both manual and automated. Excellent communication and collaboration skills. Ability to work independently and take initiative in a fast-paced environment. Experience with dashboarding tools and quality metrics is a plus. Comfortable working onsite and engaging directly with cross-functional teams. Expertise with Python, JavaScript, SQL, or similar programming languages. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $60 - $65 The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.

Position: Sr. Full Stack Java Engineer Location: Fort Worth, Texas Duration: Contract Job ID: 178742 Job Overview: We are seeking a highly skilled Sr. Engineer to join our team in Fort Worth, Texas. The ideal candidate will have extensive experience in full-stack web application development, cloud-based environments, and modern development frameworks. This role requires a strong technical background, problem-solving skills, and the ability to mentor junior engineers. The position involves a hybrid work setup with three days onsite and requires an onsite interview. Responsibilities: Write tests and document technical work products, including code, scripts, and processes, adhering to organizational standards. Solve complex technical problems and build impactful components and libraries. Deliver high-quality work and mentor junior engineers on technical craftsmanship. Conduct root cause analysis to identify systemic problems and lead execution of action items to address them. Design integrated systems that model organizational best practices, enabling teams to deliver value with speed, scale, and reliability. Oversee the management of technical debt and drive opportunities to eliminate it within ongoing implementations. Anticipate scaling, latency, and durability challenges, guiding teams in implementing mitigating strategies. Collaborate with the security organization to incorporate security-conscious practices early in the lifecycle of new systems. Evaluate technical risks and guide teams toward practical prevention strategies. Recommend and implement improvements to squad delivery practices and remove duplication of effort across teams. Identify opportunities for reuse within the span of influence and measure team performance to foster individual development. Explore emerging technologies, lead prototype development, and incorporate them into architectural solutions where appropriate. Qualifications: 3-5 years of experience with React or Angular 2 and up. 3-5 years of experience with development frameworks such as Spring Boot (required). 5 years of experience developing full-stack web applications. 3-5 years of experience working on Agile development teams. 3 years of experience managing and developing applications hosted in a cloud environment (e.g., Cloud Foundry). 3-5 years of experience creating microservices for PCF Cloud and deploying in Apigee/Apollo Cloud Technologies (AWS). Experience with Spring Security, Spring Integration, Spring JMS, Spring Cloud, Spring REST, TDD, and event-driven frameworks. Proficiency with development tools/platforms such as IntelliJ, GitHub, GitHub Actions, Azure Cloud, Kubernetes (preferred), and Jenkins. Experience with web application development using React, Angular, HTTP, CSS, XML, JSON, TypeScript, SQL/NoSQL, MySQL/SQL. Proficiency in Java, JavaScript, Node.js, Scala, HTML/CSS, Docker, and C. Experience with Microservices, Mockito, CICD Pipeline, Pivotal Cloud, Gradle, Swagger, Apigee, JIRA, Confluence, and Agile methodologies. Experience testing applications using SOAP UI and Postman, and refactoring SOAP-based web services to REST APIs. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $60 - $65/hr on W2 The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.

Position: Fullstack Developer Location: Dallas, Texas Duration: Contract Job ID: 178709 Job Overview: The Software Engineer will design, develop, test, document, and implement application systems that are functionally appropriate, technically sound, and well-integrated. This role requires collaboration with cross-functional teams, problem-solving skills, and adherence to organizational methodologies and standards. The candidate will also respond to production issues and implement immediate resolutions across various technology areas. Responsibilities: Design, write, test, document, and implement application systems based on customer requirements. Apply software development and testing knowledge to solve a range of problems effectively. Collaborate with team members to elevate technology and apply best practices consistently. Communicate project statuses and proposals with customers and cross-functional departments. Document system or application aspects for future upgrades and maintenance. Assess user needs and create software to meet those requirements. Identify and resolve issues during design, testing, and maintenance processes. Work in an agile environment to deliver high-quality software solutions. Prepare and install solutions by determining and designing system specifications and standards. Mentor junior team members to enhance their technical capabilities. Continue professional development through reading, workshops, conferences, and communities of practice. Perform other job duties as directed by leadership. Qualifications: Preferred: Experience in front-end and back-end development. Preferred: Experience in Microservice and Cloud-based development. Preferred: Proficiency in Java, NodeJS, Python, Confluent Kafka, AWS, Lambda, Step Functions, Dynamo DB, EventBridge, and API Gateway. Preferred: CCP Next experience. Intermediate knowledge of software development methodologies, practices, and technologies. Ability to apply software development and testing skills to solve complex problems. Intermediate knowledge of at least one programming language. Strong communication and negotiation skills with technology and partner teams. Ability to analyze and manage large, complex problems and provide viable solutions. Capability to handle multiple assignments while maintaining high-quality work. Ability to mentor and guide team members effectively. Strong presentation and communication skills for diverse audiences. Education: Required: High School Diploma or GED. Required: Bachelor's Degree in Business, Engineering, Computer Science, Information Systems, or equivalent work experience. Experience: Required: Intermediate-level experience with broad knowledge in software engineering. Licensing/Certification: N/A Physical Abilities: Ability to perform work duties from a limited space workstation/desk/office area for extended periods. Ability to communicate and interact in English to meet job demands. Proficiency in using a computer and office productivity tools with sufficient speed and accuracy. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $55 - $60/Hr The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.