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Sr Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s Degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * 3+ years of people management experience * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s Degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer 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 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Enterprise Platforms Technology (EPTech) comprises many of Capital One’s most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * 3+ years of people management experience * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . 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).

Data Engineer G-III Apparel Group Department: Data & Analytics Reporting To: VP Data Insights Location (On-Site): New York, NY - Fashion District About G-III Apparel Group, Ltd. | ___ G-III Apparel Group is a global leader in design, sourcing, manufacturing, distribution, and marketing. We bring excitement and confidence to customers through the fashion we create. With more than 30 owned and licensed brands, including some of the most recognized names in global fashion, our success is driven by entrepreneurial thinking, operational excellence, and strong industry partnerships. Position Summary The Data Engineer is responsible for building and maintaining the data infrastructure that supports analytics, reporting, and operational decision-making across the organization. Reporting to the VP of Data Insights, this role develops scalable data pipelines and reliable datasets used by internal teams, business partners, and analytics platforms. The Data Engineer will work closely with data scientists, engineers, and business stakeholders to ensure high-quality, accessible data that supports the company’s broader data and analytics strategy. Key Responsibilities • Design, build and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver data across enterprise systems, • Prepare, cleanse, and structure large datasets to support analytical modeling, reporting, and operational decision-making, • Implement data quality frameworks, validation rules, and monitoring systems to ensure data integrity and accuracy, • Partner with data scientists and analytics teams to support feature engineering and data preparation for quantitative analysis, • Work with engineering teams to implement automated anomaly detection and data monitoring solutions, • Serve as a subject-matter expert on internal datasets, including definitions, lineage, and quality standards, • Collaborate with product owners, business stakeholders, and systems teams to deliver reliable data products and services, • Design and maintain data models, data warehouses, and modern data architectures such as data lakes and data marts, • Contribute to the development of data governance standards, data documentation, and metadata management practices, • Support continuous improvement of the data platform through automation, testing, and performance optimization, • Ensure timely and reliable data delivery to support operational and strategic business needs Qualifications Required: • Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or equivalent practical experience, • 3+ years of experience in data engineering or a similar data infrastructure role, • Strong proficiency in SQL and experience working with large relational datasets, • Programming experience in Python (including data processing libraries such as PySpark), • Experience designing and implementing ETL/ELT pipelines and data integration workflows, • Experience with modern cloud platforms such as AWS, Azure, or GCP, • Working knowledge of data warehousing concepts, including data lakes, operational data stores, and dimensional modeling, • Familiarity with modern data orchestration and transformation tools (e.g., Airflow, Databricks, Data Factory, or similar), • Understanding of data modeling, data governance, and data quality best practices, • Experience working in collaborative engineering environments using Git, CI/CD pipelines, and automated testing frameworks, • Strong analytical and problem-solving skills with the ability to communicate technical concepts clearly to both technical and non-technical audiences, • Ability to manage multiple priorities and deliver high-quality work in a fast-paced environment Preferred: • Experience building scalable pipelines using Spark or distributed processing frameworks, • Familiarity with Azure data services such as Azure Data Factory, Microsoft Fabric, Synapse or Databricks, • Exposure to streaming or real-time data architectures, • Experience implementing data quality frameworks and governance programs, • Familiarity with business intelligence tools such as Power BI, • Prior experience in retail, fashion, or consumer products industries, • Experience leveraging AI-assisted development tools (e.g., Copilot, GPT-based coding assistants) to improve engineering productivity, • Master’s degree in a related quantitative or technical field What We Offer • Competitive base salary and performance-based incentives, • Comprehensive medical, dental, and vision benefits, • 401(k) with company match, • Paid time off, holidays, and company-sponsored wellness benefits, • Employee discounts across G-III brands, • A collaborative, entrepreneurial work environment with career growth opportunities Compensation Salary Range: $120,000 – $135,000 base (commensurate with experience) Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law. G-III’s owned brands include DKNY, Karl Lagerfeld Paris, Donna Karan, Vilebrequin, Sonia Rykiel, G.H. Bass, Bass Outdoor, Andrew Marc, Eliza J., G-III Sports and more. G-III holds licenses for Calvin Klein, Tommy Hilfiger, Cole Haan, Dockers, Guess?, Kenneth Cole, Levi’s, Vince Camuto, Margaritaville, and others. The company also operates retail stores for DKNY, Karl Lagerfeld Paris, and Donna Karan.

Vice President, Fixed Income and Equity Data Management Engineer - Full-Stack Engineer At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world’s financial system we touch nearly 20% of the world’s investible assets. Every day around the globe, our 50,000 plus employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities, and people everywhere. We continue to be a leader in the industry, awarded as a top home for innovators and for creating an inclusive workplace. Through our unique ideas and talents, together we help make money work for the world. This is what #LifeAtBNY is all about. We’re seeking a future team member for the role of Vice President, Fixed Income and Equity Data Management Engineer- Full-Stack Engineer to join our BUY SIDE TRADING BUSINESS as part of CAPITAL MARKETS team. This role is open in Boston, MA and New York, NY. This is an exciting opportunity for an experienced engineer to manage and drive business expansion through an engineering lens. Working closely with a cross-asset desk as we design, architect, and build a state-of-the-art platform to empower extensive reporting capabilities, research, and real-time analytics, in support of our new global, multi-asset trading organization. In this role, you’ll make an impact in the following ways: • Partnering with product, quants, traders, and ops; translating requirements into robust data solutions., • Play a key role in the design and architecture of trading and market data structures, • Design and build a historical and real-time data management platform for a global, multi-asset trading organization., • Ensure data integrity through proper data quality and validation, • Support and work alongside a cross-functional engineering team on the latest technologies, • Drive with an AI first mind-set towards automation and code-refactoring, • Hands-on programming of well-designed, testable, secure, and efficient code., • Strong understanding of either Equities or Fixed Income trading workflows, • Solid understanding of market microstructure and OMS/EMS flows (FIX, order types, venue routing) to design practical normalization., • Strong understanding of database schemas and structures, • Strong in Python and SQL coding, • FIX protocol/messaging knowledge, • Demonstrates proficiency in the design, development, and implementation of data, reporting and database technologies and tools., • Broad experience with multi-platform development tools and toolkits, especially open-source software., • Experience in formal Software Development Lifecycle and Agile methodologies for projects and problem resolution., • Excellent oral and written communication skills., • Good organization skills to coordinate and lead projects., • Strong problem-solving skills with the ability to come up with innovative solutions., • Bachelor's degree in computer science, financial engineering, statistics or related discipline OR equivalent work experience is required. Here’s a few of our recent awards: • America’s Most Innovative Companies, Fortune, 2025, • World’s Most Admired Companies, Fortune 2025, • “Most Just Companies”, Just Capital and CNBC, 2025 Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $90,000 and $200,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs. This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors. For over 230 years, the people of BNY Mellon have been at the forefront of finance, expanding the financial markets while supporting investors throughout the investment lifecycle. BNY Mellon can act as a single point of contact for clients looking to create, trade, hold, manage, service, distribute or restructure investments & safeguards nearly one-fifth of the world's financial assets. BNY Mellon remains one of the safest, most trusted and admired companies. Every day our employees make their mark by helping clients better manage and service their financial assets around the world. Whether providing financial services for institutions, corporations or individual investors, clients count on the people of BNY Mellon across time zones and in 35 countries and more than 100 markets. It's the collective ambition, innovative thinking and exceptionally focused client service paired with a commitment to doing what is right that continues to set us apart. Make your mark: bnymellon.com/careers.

Presidio, Where Teamwork and Innovation Shape the Future AtPresidio, we're at the forefront of a global technology revolution, transforming industries throughcutting-edge digital solutions and next-generation AI. We empower businesses-and their customers-to achieve more through innovation, automation, and intelligent insights. The Role Presidio is seeking a Senior Network Engineer to join our team to support our client base in (Carolinas) region. This individual will lead small to large projects on their own or as part of a team, which includes planning, design, and implementation of complex network and security engagements. This is a consultative role providing network engineering services on project work and effectively managing the implementation process from design to customer acceptance. Travel Requirements: In this role you will be expected to travel up to 25%. Responsibilities include: • Primary responsibilities include performing project-based engineering, design, staging, installation, validation, testing, and troubleshooting of data/security networks, • Lead complex, large-scale Network and Security projects, • Create low-level detailed designs that align with the business strategy, the customer's budget, and operational support capabilities., • Network discoveries, • Perform Network and Security Assessments, • Presenting documentation and engagement deliverables to customers, • Collaborating as part of a multi-functional team with Sales, Pre-Sales, Project Management, and other delivery/engineering resources, • Trouble resolution of complex issues and assisting team members in solving problems with their deployments., • Working with junior members of the engineering team to successfully implement secure network solutions, • Experienced expert with complex multi-protocol routing and switching solutions, • Various security parameters and harden access to devices, • Core Routing and Switching platforms with a focus on design, configuration, and troubleshooting using Cisco Best Practices, • Network design and applications, including designing IP addressing, • OSPF, BGP, EIGRP. Redistribution of protocols and loop prevention, • TCP/IP protocol stack, TCP/IP headers and packets, the OSI model, and commonly used TCP/UDP ports and associated services, • Strong level in routing and switching troubleshooting, • Solid verbal and written communication skills, • Bachelor's Degree or equivalent experience and/or military experience, • Cloud Networking Experience, • AWS, Azure, GCP in Networking context, • Aviatrix, • Experienced deploying at least one SDWAN Solution with Viptela, Silverpeak, or Palo Prisma SDWAN, • Cisco ISE, • Experienced in implementing security solutions such as:, • Palo Alto Networks Product Portfolio, • Panorama, • Prisma Access, • Prisma Cloud, • Cisco Security Product Portfolio, • Firepower / FTD Firewalls, Meraki MX: Configuration, tuning, troubleshooting, • FMC Management, • Fortinet Product Portfolio, • FortiGate FWs, Forti Manager/Forti Analyzer, • Arista Networking solutions, including Cloud Vision, • Aruba Product Suite, • Experience with Aruba CX and Aruba OS software, • VSX and VSF technologies, • High availability configurations, • Automation / Scripting: Python, EMM and TCL, • Active Cisco certification; CCNP, CCIE Preferred, • Active Palo Alto certification; PCNSA, PCCSE, PCNSE Preferred, • 5+ years of related project implementation experience. Your future at Presidio JoiningPresidiomeans stepping into aculture of trailblazers-thinkers, builders, and collaborators-who push the boundaries of what's possible. With our expertise inAI-driven analytics, cloud solutions, cybersecurity, and next-gen infrastructure, we enable businesses to stay ahead in an ever-evolving digital world. Here,your impact is real.Whether you're harnessing the power ofGenerative AI, architecting resilientdigital ecosystems, or drivingdata-driven transformation, you'll be part of a team that is shaping the future. Ready to innovate? Let's redefine what's next-together. About Presidio At Presidio, speed and quality meet technology and innovation. Presidio is a trusted ally for organizations across industries with a decades-long history of building traditional IT foundations and deep expertise in AI and automation, security, networking, digital transformation, and cloud computing. Presidio fills gaps, removes hurdles, optimizes costs, and reduces risk. Presidio's expert technical team develops custom applications, provides managed services, enables actionable data insights and builds forward-thinking solutions that drive strategic outcomes for clients globally. For more information, visit . Applications will be accepted on a rolling basis. Presidio is an Equal Opportunity / Affirmative Action Employer / VEVRAA Federal Contractor. All qualified candidates will receive consideration for this position regardless of race, color, creed, religion, national origin, age, sex, citizenship, ethnicity, veteran status, marital status, disability, sexual orientation, gender identification or any other characteristic protected by applicable federal, state, and local statutes, regulations, and ordinances. To read more about discrimination protections under Federal Law, please visit: If you have any difficulty using our online system and need an accommodation in the job application process due to a disability, please send an email to for assistance. Presidio is a VEVRAA Federal Contractor requesting priority referrals of protected veterans for its openings. State Employment Services, please provide priority referrals to . Notice to Massachusetts Candidates: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Recruitment Agencies, Please Note: Presidio does not accept unsolicited agency resumes/CVs. Do not forward resumes/CVs to our careers email address, Presidio employees or any other means. Presidio is not responsible for any fees related to unsolicited resumes/CVs. #LI-AV1 Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the ___ notice from the Department of Labor.

Systems Engineer – Enterprise IoT & Infrastructure (L2–L3) NYC, NY (Onsite – physical device handling required) What are the top 3 skills required for this role? 1. Strong experience with Windows and Linux server engineering, 2. Solid networking fundamentals, including Layer 3 concepts (routing, subnets, DNS, DHCP), 3. Hands on experience with IoT devices / hardware configuration and troubleshooting Role Overview • We are seeking an experienced Systems Engineer with strong expertise in enterprise IoT infrastructure, server engineering, and networking to support and implement IoT/OT solutions for a global financial services environment., • This is not a traditional Windows Administrator or L1 support role. The position requires L2 to early L3 technical depth, combining architectural understanding with hands‑on implementation, troubleshooting, and operational support across devices, networks, servers, SaaS platforms, and security frameworks., • The role supports enterprise‑grade IoT deployments, including device configuration, patch testing, secure integrations, and rollout activities, while working closely with internal teams, vendors, and stakeholders. Key Responsibilities • Support and implement enterprise IoT/OT device infrastructure, including configuration, maintenance, patching, and troubleshooting, • Translate architectural designs and requirements into operational and technical implementations, • Perform patch testing, deployments, and validation of devices and supporting infrastructure, • Troubleshoot complex issues across device, network, server, and platform layers, • Work with APIs, SaaS platforms, and hybrid cloud environments to enable secure integrations, • Support physical device handling, reformatting, and refurbishment (NYC & London roles) using defined documentation and procedures, • Collaborate with network, security, platform teams, and external vendors to resolve issues and support rollouts, • Create and maintain technical documentation, runbooks, and operational process guides, • Ensure compliance with enterprise security standards, including authentication, authorization, and encryption requirements, • Participate in migration, refurbishment, and new rollout projects for IoT platforms and devices Required Technical Skills • Strong experience with Windows and Linux server engineering, • Solid networking fundamentals, including Layer 3 concepts (routing, subnets, DNS, DHCP), • Hands‑on experience with IoT devices / hardware configuration and troubleshooting, • Working knowledge of APIs, system integrations, and technical environments, • Experience with SaaS platforms and enterprise authentication protocols (SAML, OIDC), • Understanding of firewalls, proxy servers, and load balancers in enterprise environments, • Proven experience operating in L2 / early L3 support models, • Knowledge of security fundamentals, including encryption, authentication, and authorization Experience & Profile • 4–8+ years of experience in Systems Engineering, Infrastructure Support, or IoT/OT environments, • Strong analytical and troubleshooting skills across multiple technology layers, • Ability to work independently while collaborating with global teams, • Comfortable supporting production enterprise environments with high security and reliability expectations Role Classification • Level: L2 to early L3, • Focus Area: Enterprise IoT / OT Infrastructure (not end‑user support), • Work Type: Combination of implementation, advanced support, and operational engineering

Principal, Business Consulting – Payments Functional Program Manager Practice: Financial Services, Infosys Consulting Focus: High Value Payments (HVP) Modernization | ISO 20022 | COTS on Microservices | Agentic AI Role Summary Infosys Consulting’s Financial Services practice is seeking a seasoned Functional Program Manager to lead a Payments Modernization program for a Tier 1 financial institution. You will drive the replacement of legacy mainframe systems with a COTS product, and forward engineer rail agnostic capabilities on a cloud/microservices platform, incorporating agentic AI to enable intelligent, future ready payment flows. This is a high impact, client facing role(s) requiring deep payments expertise, strong program leadership, and a track record of delivering complex transformations in regulated environments. What You’ll Do • Own the client relationship across transformation delivery, BAU change, and support for a large U.S. bank; manage senior stakeholder expectations while maintaining profitability and growth., • Lead platform modernization that includes but not limited to reverse engineering of legacy mainframe platforms, forward engineering, COTS product implementation, and upstream/downstream integrations., • Direct ISO 20022 adoption and certification (e.g., Fedwire/FedNow, CBPR+); guide product configuration and customization—especially for ACI MTS and UPF., • Govern program financials: budgeting, milestone billing, forecasting, pipeline management, and margin integrity., • Set payments architecture direction: advocate rail agnostic orchestration, microservices patterns, cloud deployment models, and event driven integration., • Shape and integrate agentic AI interventions across journeys (ops automation, dispute/exception handling, reconciliation, data quality, monetization)., • Lead cross functional teams (client & Infosys) to gather requirements, design data maps, ensure traceability, and manage risk/issue remediation., • Support business development: solutioning, proposals, thought leadership, market relevant POVs., • Ensure compliance with PCI DSS/AML/KYC, resiliency, observability, and operational excellence., • Not a pure BA role—we’re seeking leaders who can span program delivery, architecture direction, and domain depth. Role Tracks (You may align to one primary track and flex across others) • Program Management (Payments Modernization), • Drive multi year HVP modernization with COTS, integrations, ISO migrations, certification, and executive governance., • Enterprise / Solution Architecture (Payments), • Define target state (rail agnostic, ISO native), microservices reference architecture, messaging, integration patterns, security, and scalability., • Payments SME / Advisory, • Bachelor’s degree (or foreign equivalent)., • 7+ years in payments/financial services with 3+ years in management consulting at a top tier/professional services firm. (10+ years overall experience preferred for a principal.), • Deep HVP domain expertise: Fedwire/CHIPS, CBPR+, cross border, and ISO 20022 message standards (pacs/camt/pain; mapping, validation, enrichment)., • Delivered at least one end to end ISO 20022 migration for CBPR+ and/or Fedwire/FedNow: experience with certification and market testing. (Cards professionals are welcome with consumer and commercial card solutions E2E implementation experiences), • Hands on experience across payments value chain at enterprise and ecosystem level: origination, processing, clearing/settlement, servicing, messaging—B2B, disbursements, consumer/retail., • Experience with COTS Payment Hubs and processors (e.g., ACI MTS/UPF, Finastra, Fiserv) and complex integration in regulated environments., • Solid understanding of legacy mainframe payment systems and modernization patterns., • Proficiency in program governance & financials, stakeholder management, issue/risk management, and executive communication., • Familiarity with cloud & microservices constructs (e.g., containerization, APIs, event streaming) and DevSecOps/testing management., • Ability to travel extensively., • Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time. Preferred Qualifications • Certifications: PMP/PRINCE2/SAFe; TOGAF 9.2/10 (for architecture track); ISO 20022 certifications; BIS/Fed or equivalent; Agile delivery., • RTP expertise: TCH RTP and FedNow implementation; vendor experience (Finastra, Fiserv) is a plus., • Liquidity/Treasury: Nostro/Vostro, cash & liquidity management, payables/receivables, collections., • Cross rail expertise: HVP, mass payments (ACH), immediate payments (RTP/FedNow), P2P, card (retail & commercial), tokenization, stablecoins (awareness)., • Data & Engineering: lineage, quality, metadata, monetization; Kafka/event streaming; API management; observability; resiliency engineering., • AI in Payments: Machine Learning & Predictive Modeling (fraud, risk, anomaly detection, forecasting); GenAI/LLMs for ops automation, dispute handling, policy interpretation, developer/API copilots, and RAG; Reverse/forward engineering accelerators; MLOps and responsible AI (XAI, bias/fairness)., • Firm building: pre sales, POVs, conference visibility, industry research. Core Skills & Ways of Working • Thought leadership and structured problem solving; crisp storytelling for C Suite., • Numbers driven program leadership: budget, schedule, scope, and benefits realization., • Stakeholder management across technology, operations, risk/compliance, product, and external networks., • Hands on orientation with the ability to go deep on requirements, mappings, and validation without losing the big picture. Responsibilities Snapshot (Illustrative) • Stand up and run a multi wave ISO 20022 program (CBPR+, Fedwire, FedNow)., • Lead COTS hub implementation (e.g., ACI MTS/UPF): product fit, customization, integration, certification., • Define target state architecture (rail agnostic orchestration, microservices, APIs, streaming)., • Implement AI/LLM use cases in payments ops, exception management, reconciliation, and data monetization., • Deliver RTP via leading products (Finastra, Fiserv) as an advantage., • Manage DevSecOps and testing services; ensure performance, resilience, and compliance., • Build data maps and transformations for message conversion and canonical models., • Drive pipeline expansion and support pursuits with solutioning and differentiated PoVs. The estimated total annual compensation (Base + Bonus) range for candidates based out on NJ, IL, NY, CA & WA will be $ 154,375 to $ 193,125

Sr. Salesforce Administrator, Business Systems Engineer Location: New York, NY - Onsite About the Role A growing investment firm is seeking a Salesforce Admin and Business Systems Engineer to own and evolve its core CRM and internal business systems. This role sits at the intersection of Salesforce administration, development, and business process optimization, supporting sales, underwriting, and operations teams. This is not a ticket-taking admin role — you will be responsible for how the business runs inside Salesforce, including automation, integrations, and data integrity across critical workflows. What You’ll Be Doing • Own and manage the Salesforce platform (configuration, customization, and ongoing optimization), • Build and maintain flows, automation, and workflow logic to streamline operations, • Develop and support integrations between Salesforce and internal/external systems (APIs, data syncs, third-party tools), • Partner with business stakeholders to translate operational needs into scalable system solutions, • Maintain data quality, governance, and reporting accuracy across the platform, • Troubleshoot system issues, broken workflows, and data inconsistencies end-to-end, • Strong hands-on experience with Salesforce (Admin + Development exposure), • Experience building Flows, Process Builder, or similar automation tools, • Working knowledge of Apex, Lightning Components (LWC), or Salesforce customization, • Experience with integrations (APIs, middleware, or data sync tools), • Strong understanding of data structure, validation, and system governance, • Experience in financial services, lending, or high-volume sales environments, • Exposure to backend scripting (Python, Node, etc.), • Familiarity with cloud tools or Microsoft ecosystem (Azure, Intune, etc.), • Systems-minded — you think beyond tickets and focus on end-to-end workflows, • Detail-oriented with a strong sense of ownership and accountability, • Comfortable operating in a fast-paced, in-office environment, • Able to balance admin work, light development, and business-facing problem solving

Title: Forescout Engineer Compensation: approx $60-70/hr potential flex for those more experienced/higher level/etc Duration: 6mo, extensions/conversions to FTE possible Type: W2 only Location: New York NY 10016 Schedule/Onsite: 1 day per week, or 4 days per month Interview Process: 2-3 Rounds Start Date: 2-3 weeks after offer acceptance, approx end of April 2026 Required Skills & Experience • Minimum of 3-5 years of hands-on experience with Forescout implementation and management for an enterprise environment, • Proficiency in routing and switching technologies, • Strong understanding of network protocols and security principles, • Experience with network configuration and management tools, • Excellent analytical and troubleshooting skills. Plusses • CCNP Certified Relevant certifications such as Forescout Certified Administrator (FSCA) or Forescout Certified Engineer (FSCE), • Bachelor's Degree Job Description Insight Global Health is looking for a Forescout Engineer for an enterprise healthcare organization in New York City. He/She will be responsible for the implementation and management of Forescout solutions. This candidate will ensure the seamless integration and optimal performance within the network infrastructure. Responsibilities will include but not limited to: • Lead the deployment and configuration of Forescout solutions across the network, including setting up policies, device classification, and network segmentation., • Create and maintain templates for Forescout implementation to ensure consistency and efficiency., • Ensure that all switches and network devices are enrolled with the correct configurations, including VLAN assignments, access control lists (ACLs), and port security settings., • Navigate and manage the Forescout platform to monitor and maintain network security, including real-time monitoring, alerting, and reporting., • Provide expert knowledge and oversight during the deployment phase to ensure successful implementation, including pre-deployment assessments, network readiness checks, and post-deployment validation., • Integrate Forescout with existing network infrastructure, including firewalls, routers, switches, and other security appliances., • Develop and enforce security policies within Forescout to ensure compliance with organizational standards and regulatory requirements., • Diagnose and resolve issues related to Forescout implementation and network configurations, including connectivity issues, policy violations, and device compliance., • Maintain comprehensive documentation of configurations, processes, and procedures, including network diagrams, implementation guides, and troubleshooting manuals., • Work closely with network engineers, security teams, and other stakeholders to ensure cohesive and secure network operations, including conducting training sessions and knowledge transfer

We are seeking a handson to design, build, and support productiongrade data products and applications that empower operational, engineering, and business teams to make faster, more reliable decisions. • Design, build, and maintain endtoend Palantir Foundry solutions, including data ingestion, transformation, modeling, and publishing, • Develop and evolve Foundry Ontology models (core objects, relationships, and actions) to ensure consistent, reusable, and discoverable data, • Build Pythonbased pipelines and transforms with incremental processing, validation, data quality checks, and performance optimization, • Replace spreadsheetdriven and manual reporting processes with reliable, auditable digital tools, • Integrate Foundry with internal and external systems, including ERP, project controls, asset management, ticketing systems, and custom APIs, • Implement robust error handling, retries, logging, monitoring, and audit trails, • Medical, dental & vision, • Critical Illness, Accident, and Hospital, • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available, • Life Insurance (Voluntary Life & AD&D for the employee and dependents), • Short and long-term disability, • Health Spending Account (HSA), • Transportation benefits, • Employee Assistance Program We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

Job Description: The Storage Infrastructure Engineer will possess technical expertise and engineering skills and is considered a leading subject matter expert for designing technical infrastructure solutions involving, Cyber Vault Administration, Air gapped vault workflows, backup and data protection, Storage hardware, hypervisors, Storage Area Network, Network-attaching storage, and cloud solutions, with general knowledge of Servers and Networking. The successful candidate will play a key role in ensuring high availability, performance, security and compliance of Air Gapped backup systems, including active involvement in Business continuity and Disaster Recovery planning and testing Cyber Vault Engineer Job Description • Design, operate, and continuously improve cyber-resilient backup and recovery platforms. - Experience with Dell ECS, NetApp , PURE , Rubrik and Cohesity platforms ., • Lead recovery readiness (including cyber recovery playbooks and DR drills)., • Implement automation (Python/Ansible)., • Drive audit, compliance, and vulnerability remediation across a hybrid data center estate., • Partners closely with Security, Infrastructure, and Application teams to meet strict RPO/RTO and regulatory obligations., • Manage and migrate between systems and manage business complexity., • Architect and maintain end-to-end backup/recovery for mission-critical systems., • Define RPO/RTO per service tier and ensure continuous adherence., • Lead complex restores (file, DB, VM, application-aware), integrity verification, and forensics-assisted recovery during cyber incidents., • Create and maintain runbooks for cyber vault isolation, validation, recovery testing, and compliance evidence collection. Storage, Cyber Vault, data protection, air-gapped ransomware, Storage area network, backup Storage,Cyber Vault,data protection,air-gapped ransomware,Storage area network,backup Soft Skills: Problem-solving and troubleshooting in complex environments. Documentation and process design for disaster recovery. Collaboration with security, networking, and application teams. Expert Level This is a Contract to Hire position based out of New York, NY. The pay range for this position is $50.00 - $70.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision, • Critical Illness, Accident, and Hospital, • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available, • Life Insurance (Voluntary Life & AD&D for the employee and dependents), • Short and long-term disability, • Health Spending Account (HSA), • Transportation benefits, • Employee Assistance Program We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Position Summary: Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer. We are looking for an experienced software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services. In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. Responsibilities: * Design, develop, and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc. * Develop and maintain backend services using Python, focusing on AI-driven applications. * Design and implement APIs for seamless integration with AI models and services. * Collaborate with product managers, engineers, and other stakeholders as a specialist and subject matter expert in machine learning. * Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment. * Participate in code reviews, testing, and quality assurance processes. * Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services. * Implement system telemetry, A/B testing and other statistical methods to validate the effectiveness of AI models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes. * Document and communicate development processes, system designs, and architectural decisions. * Ensure the security and compliance of healthcare data, adhering to HIPAA regulations. Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field. * Minimum 6+ years of experience in industry with a strong focus on ML solutions development and production deployment. * Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development. * Strong proficiency in Python and familiarity with ML libraries such as PyTorch. * Statistical Machine Learning and Artificial Intelligence in the context of NLP, Speech, RAG, Virtual Agents, and/or Document Processing technologies * Familiarity with cloud platforms such as AWS or Azure. * Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Experience developing and fine-tuning prompts on any of the GenAI services * Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking. * Passion for customer, innovation, product quality, service excellence, and test engineering * The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment. * Experience working with microservices/an API-based application paradigm. * Good written communication skills that enable collaboration in a remote environment. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Salary Range$180,000—$220,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Position Summary: We are seeking a highly motivated and talented Data Engineer I (Analytics Engineering) to help build and scale Capital Rx's analytics foundation. This role focuses on developing high-quality, analytics-ready datasets and a consistent metrics/semantic layer that power reporting, self-service BI, and operational insights. You will work heavily in dbt and Snowflake to design durable data models, define trusted business metrics, and ensure data quality through testing, documentation, and observability-partnering closely with operational, product, and analytics stakeholders to translate business questions into reusable data products that drive measurable outcomes. Position Responsibilities: • Partner closely with operational and analytics teams to translate business needs into analytics-ready data models, curated data marts, and reusable datasets., • Build and maintain dbt projects (staging intermediate marts), including model layering, macros, exposures, packages, and source freshness to accelerate delivery and improve reliability., • Design and evolve dimensional models (facts/dimensions, grain, SCD patterns) and analytics patterns aligned with key business domains., • Own metrics definitions end-to-end: establish KPI logic, naming standards, calculation rules, and governance; maintain a metrics/semantic layer so stakeholders use consistent definitions across tools and teams., • Implement robust data quality practices (dbt tests, constraints, anomaly checks/monitoring) to ensure reliable downstream reporting and decision-making., • Produce clear documentation and enablement assets (dbt docs, lineage, data dictionaries, metric definitions, onboarding guides) to support self-service analytics., • Optimize warehouse performance and cost in Snowflake through SQL tuning, incremental models, appropriate materializations, and efficient data design., • Use disciplined software engineering practices (Git-based workflows, peer review, CI checks, versioning, environment promotion) to deploy changes safely and repeatably., • Proactively identify and resolve data-related issues, ensuring system reliability and data integrity., • Provide ongoing support for critical analytics data products and participate in an on-call rotation as needed., • Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. Required Qualifications: • Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent practical experience)., • Strong SQL skills and experience building analytics datasets in a modern cloud data warehouse (Snowflake preferred)., • Hands-on experience with dbt core (model development, tests, documentation, macros, deployments)., • Solid foundation in data modeling (dimensional/Kimball concepts, facts/dimensions, grain, slowly changing dimensions)., • Experience defining and managing metrics: translating business logic into consistent KPI definitions, documenting edge cases, and maintaining metric governance over time., • 1+ years of experience delivering production-grade analytics models/marts or BI-ready datasets (internships/co-ops may be considered depending on leveling)., • Ability to collaborate effectively with both technical and non-technical stakeholders; strong communication and documentation skills., • A self-motivated, detail-oriented individual with the ability to tackle and solve intricate technical challenges and deliver high-quality work. Preferred Qualifications: • Experience in healthcare, PBM, insurance, or other regulated data environments., • Deep familiarity with Snowflake and experience supporting multiple warehouses or databases as environments evolve (e.g., Redshift and/or Postgres)., • Familiarity with semantic/metrics layer patterns and practices (e.g., consistent metric definitions, metric governance, semantic modeling approaches) and enabling KPI consumption across BI tools., • Experience with CI/CD for analytics (automated tests, PR checks, environment promotion) and data observability/monitoring practices., • Working knowledge of Python for data tooling or analytics enablement (e.g., automation, validation checks), and comfort collaborating with orchestration/workflow tools when needed. This range represents the low and high end of the anticipated base salary range for the NY-based position. The actual base salary will depend on several factors such as experience, knowledge, and skills, and if the location of the job changes. Nothing in this position description restricts management's right to assign or reassign duties and responsibilities to this job at any time. About Capital Rx Capital Rx is a full-service pharmacy benefit manager (PBM) and pharmacy benefit administrator (PBA), advancing our nation's electronic healthcare infrastructure to improve drug price visibility and patient outcomes. As a Certified B Corp, Capital Rx is executing its mission through the deployment of JUDI, the company's cloud-native enterprise health platform, and a Single-Ledger Model, which increases visibility and reduces variability in drug prices. JUDI connects every aspect of the pharmacy ecosystem in one efficient, scalable platform, servicing millions of members for Medicare, Medicaid, and commercial plans. Together with its clients, Capital Rx is reimagining the administration of pharmacy benefits and rebuilding trust in healthcare. Capital Rx values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Salary Range$100,000—$120,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Position Summary: Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer. We are looking for an experienced software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services. In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. Responsibilities: • Design, develop, and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc., • Develop and maintain backend services using Python, focusing on AI-driven applications., • Design and implement APIs for seamless integration with AI models and services., • Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment., • Participate in code reviews, testing, and quality assurance processes., • Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services., • Implement system telemetry, A/B testing and other statistical methods to validate the effectiveness of AI models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes., • Document and communicate development processes, system designs, and architectural decisions., • Ensure the security and compliance of healthcare data, adhering to HIPAA regulations., • Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. Required Qualifications: • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field., • Minimum 2 years of experience in industry with a strong focus on ML solutions development and production deployment., • Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development., • Strong proficiency in Python in modern Python frameworks such as FastAPI and LangGraph., • Experience working with voice AI technologies and conversational AI., • Deepgram, PlayHT, ElevenLabs, • Telephony technologies, such as Twilio is a big plus, • Familiarity with cloud platforms such as AWS or Azure., • Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking., • Passion for customer, innovation, product quality, service excellence, and test engineering, • The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment., • Experience working with microservices/an API-based application paradigm. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

Senior Machine Learning Engineer - Model Evaluations, Public Sector The Public Sector ML team at Scale deploys advanced AI systems-including LLMs, agentic models, and multimodal pipelines-into mission-critical government environments. We build evaluation frameworks that ensure these models operate reliably, safely, and effectively under real-world constraints. As an ML Engineer, you will design, implement, and scale automated evaluation pipelines that help customers trust and operationalize advanced AI systems across defense, intelligence, and federal missions. You will: • Develop and maintain automated evaluation pipelines for ML models across functional, performance, robustness, and safety metrics, including LLM-judge-based evaluations., • Design test datasets and benchmarks to measure generalization, bias, explainability, and failure modes., • Build evaluation frameworks for LLM agents, including infrastructure for scenario-based and environment-based testing., • Conduct comparative analyses of model architectures, training procedures, and evaluation outcomes., • Implement tools for continuous monitoring, regression testing, and quality assurance for ML systems., • Design and execute stress tests and red-teaming workflows to uncover vulnerabilities and edge cases. Ideally you'd have: • Experience in computer vision, deep learning, reinforcement learning, or NLP in production settings., • Strong programming skills in Python; experience with TensorFlow or PyTorch., • Background in algorithms, data structures, and object-oriented programming., • Experience with LLM pipelines, simulation environments, or automated evaluation systems., • Graduate degree in CS, ML, or AI., • Cloud experience (AWS, GCP) and model deployment experience., • Experience with LLM evaluation, CV robustness, or RL validation., • Knowledge of interpretability, adversarial robustness, or AI safety frameworks., • Familiarity with ML evaluation frameworks and agentic model design. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Position Summary: Join our mission toinfusecutting-edgeAI/ML/GenAIintopharmacy benefits as aMachine Learning Engineer.We are looking forasoftware engineer with machine learningexpertiseto join us in expandingourAI capabilities, enablingincreased productivity and magical experiences in our products and services. In thisroleyou will be expected to design and implement complex AI systems thatleverageML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-basedQnA.The ideal candidate should be passionate about applying AI/ML concepts to difficult problems anddevelopscalable solutions. Wewantpeople who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software thatleveragesLarge Language Models (LLM), Multimodal LanguageModels(MLM),and other ML models and techniquesto buildamazingcapabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growthstartupand we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. Responsibilities: • Developand productionize machine learning (ML) solutions in the fields of Document understanding, Search andQnA,GenAI,Virtual Agents, etc., • Develop andmaintainbackend services using Python, focusing on AI-driven applications., • Design and implement APIs for seamless integration with AI modelsand services., • Developtools for large-scale data processing and ETLand contribute to extracting insights from data to help guide ML systems development, • Participate in code reviews, testing, and quality assurance processes., • Troubleshoot and resolve technical issues related to AI model, integration,deploymentand backend services., • Develop algorithms to ensure the integrity and robustness of ML solutions by developing automated testing and validation processes., • Documentandcommunicatedevelopment processes and implementation details with peers and supervisors, • Ensure the security and compliance of healthcare data, adhering to HIPAA regulations. RequiredQualifications: • Bachelor's orMaster's degree inComputer Science, Machine Learning, or a related quantitative field., • 2+ years experience in the industry with a strong focus on ML solutions development and production deployment is a plus., • Goodunderstanding of Machine Learning fundamentals such as Deep Neural Networks, Transformer-based LLM and MLMs, Boostedor standard decisiontrees, RAG,etc., • Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development., • Proficiencyin Python and familiaritywith ML libraries such asPyTorch., • Familiarity withGenAIservices such as OpenAI GPT, Anthropic Claude, Google Gemma etc.Some experience indeveloping and fine-tuning prompts on any of theGenAIservicesis a plus., • Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking., • The ability to work collaborativelyacross multiple disciplinesin an extremely fast-paced, startup environment. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

Job Title: QA Engineer Location: Hybrid- Newark, NJ Duration: 12 months Overview The Engineering team is seeking a candidate to lead the design and development of AI-powered test automation capabilities across client. This role will leverage AI and LLM technologies to fundamentally transform how functional, regression, and integration testing is created, maintained, and executed. We are looking for someone who combines strong quality engineering fundamentals with a passion for AI-driven development. The successful candidate will define the strategy for AI-powered test automation, build frameworks that use AI to generate and maintain test suites, and establish standards that ensure consistent quality across applications. Key Responsibilities Test Automation & AI Integration • Design and build AI-powered test automation frameworks that leverage LLMs to generate, execute, and maintain test cases for functional, regression, and integration testing, • Develop AI-driven approaches to analyze application code and automatically generate meaningful test coverage, • Build and maintain reusable automation components that integrate AI capabilities into existing test pipelines, • Create self-healing test suites that use AI to adapt to application changes and reduce maintenance overhead Strategy & Standards • Define the overall strategy and roadmap for AI-powered quality engineering across the organization, • Establish standards for test automation quality, coverage thresholds, and AI-generated test validation, • Evaluate and integrate AI/LLM tools into the testing lifecycle, assessing their reliability and enterprise fit, • Define best practices for prompt engineering in the context of test generation and validation, • Track and report on the effectiveness of AI-driven testing compared to traditional approaches Collaboration • Partner with agentic code development and AI tooling teams to ensure quality is embedded throughout the AI-powered SDLC, • Work with development teams to integrate AI-driven testing into their CI/CD pipelines, • Collaborate with InfoSec and compliance teams to ensure AI-generated tests meet enterprise requirements, • Share knowledge and best practices across teams, building organizational capability in AI-powered testing Qualifications Required Experience • Extensive experience in quality engineering, test automation, or software development in an enterprise environment, • Demonstrated experience building and maintaining test automation frameworks, • Strong programming background in multiple languages (Python, JavaScript/TypeScript, Java, etc.), • Experience with AI/LLM tools and platforms (Claude, ChatGPT, Copilot, or similar), • Fluency with Agile delivery methodologies and Test-Driven Development (TDD), • Experience integrating test automation into CI/CD pipelines Technical Skills • Deep knowledge of test automation frameworks and tools (Selenium, Playwright, Cypress, or similar), • Understanding of prompt engineering principles applied to test generation and validation, • Experience with API testing, contract testing, and integration testing patterns, • Familiarity with AI agent frameworks and how they can be applied to testing workflows, • Knowledge of DevOps practices and CI/CD tooling, • Strong technical troubleshooting and problem-solving skills Preferred • Hands-on experience with Claude Code or similar AI development tools, • Experience with MCP (Model Context Protocol) integrations Soft Skills • Ability to define and communicate a technical vision for AI-powered quality engineering, • Strong analytical mindset - able to evaluate AI-generated outputs critically, • Self-directed with ability to work independently while collaborating across teams, • Ability to learn quickly in the fast-moving AI space, • Strong written and verbal communication skills Education - Bachelor's or Master's degree in Computer Science, Information Systems, or related technical field

Senior Manager, Machine Learning Engineering As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s Degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions * At least 4 years of people management experience Preferred Qualifications: * Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Mgr, Machine Learning Engineering New York, NY: $250,800 - $286,200 for Sr. Mgr, Machine Learning Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Legal Process Engineer Cooley is seeking a Legal Process Engineer to join the Practice Engineering team. Position summary: As the leading technology law firm, Cooley is determined to become a leader in the digital practice of law. Cooley Innovation embraces a culture of customer service excellence and all members of the department are expected to move this agenda forward. To that end, under the direction of the Associate Director, Legal Practice Engineering, the Legal Process Engineer will play a critical role at the intersection of legal domain expertise, process engineer, and digital product development, working directly with the firm's practitioners across offices and practice areas to uncover, analyze, and re-design legal workflows. The Legal Process Engineer is deeply engaged with all products and platforms that create, consume, or analyze legal work products and legal information. By collaborating directly with practitioners, technical teams, and innovation stakeholders, the process engineer ensures that every solution, from document drafting tools to analytics platforms, effectively leverages document automation, AI, and data integrations. This role partners across multiple domains including Knowledge Management, Software Engineering, and Product Development, bringing strong legal process insight, user-centered design thinking, and visual storytelling to help shape the next generation of digital tools. The process engineer is the strategic translator between legal practitioners, innovation stakeholders, and technical teams, translating legal process insight into strategic, actionable guidance that informs product direction across the entire lifecycle. Position responsibilities: • Lead workflow discovery efforts in direct partnership with practice groups and Knowledge Management attorneys, capturing end-to-end legal workstreams across corporate, regulatory, and transactional domains, including those that impact external stakeholders such as clients and their directors, officers, and investors, • Identify and map the flow of data through documents and organizations, carefully investigating and understanding the role of different personas as authors and consumers. This includes tracing how information moves through each step, clarifying document ownership and use, and visually representing the legal process logic for both internal and client-facing solutions, • Analyze and reimagine legal workflows to identify opportunities for digitization, automation, AI integration, and alignment with Cooley's existing or emerging product platforms, • Translate legal process insights into early-stage solution concepts, informing roadmap planning, prototype development, and MVP scoping, • Create workflow diagrams, process maps, journey maps, and wireframes to visually communicate how legal work is done and where digital transformation adds value using tools like Miro, Lucidchart, and Figma, • Support AI and automation incubation projects by documenting requirements, mapping logic, and facilitating handoff to product development and software engineering teams for production readiness., • Provide legal domain expertise across the full product lifecycle, in collaboration with UX designers, engineers, and business analysts, • Partner with product managers during planning, feature definition, and prioritization-ensuring legal nuance and workflow complexity are well-represented and strategically considered, • Contribute domain-specific context and nuances to user stories, acceptance criteria, and iterative refinement within Agile/Lean frameworks, • Contribute to user testing, solution validation, and stakeholder feedback loops to ensure solutions remain grounded in legal practice and user needs., • Maintain a working knowledge of Cooley's digital platform portfolio to identify integration points and avoid redundant tool development, • Stay current on legal tech trends, process innovation methods, AI/ML applications in law, and practice-specific technologies, • Present complex workflows and product concepts through visual storytelling and design thinking approaches to legal and technical audiences, • Ensures alignment with departmental standards, best practices, and governance in the development, delivery, and support of legal technology and product solutions, • All other duties as assigned or required Skills and experience: Required: • After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications, • Willingness to work extended and /or weekend hours, as needed, • 4+ years of experience in legal process design, practice innovation, legal tech, or legal process engineering roles. Senior level candidates considered with 5+ years' experience with proven ability to operate at an elevated level in terms of scope of responsibility, judgement and autonomy., • Deep understanding of legal practice workflows and professional experience working directly with legal practitioners (attorneys, paralegals, Knowledge Management), • Proven ability to lead discovery sessions, map and re-engineer legal processes, and design actionable solution paths, • Familiarity with product development methodologies (Agile, Lean, etc.) and experience working alongside product managers, UX designers, and software engineers, • High proficiency in workflow visualization and storytelling tools (e.g., Miro, Figma, Lucidchart), • Strong storytelling and presentation skills, with the ability to communicate complex legal and technical concepts to diverse audiences, • Experience supporting AI, automation, or digital tool initiatives within legal or professional services environments Preferred: • Bachelor's degree, • Juris Doctorate (or equivalent) degree, • Experience as a product manager or in cross-functional product teams, certifications in Product Management, Business Analysis, or Design Thinking, • Awareness of data strategy concepts and legal AI concepts, • Experience working in a legal services environment, preferably in an AMLAW 200 law firm or in-house legal department with greater than 50 attorneys Competencies: • Ability to take initiative, synthesize complexity, and work independently with cross-functional stakeholders, • Demonstrates initiative and ownership in managing responsibilities, priorities, and deliverables, while proactively aligning work with Practice Engineering's strategic objectives and standards, • Ability to connect legal process insight with long-term business and technology goals; thinks proactively across the full product lifecycle, • Applies empathy and design thinking to problem-solving, discovery, and solution design-ensuring attorney, client, and internal stakeholder needs are represented throughout the process, • Demonstrates sharp analytical skills and meticulous attention to detail to accurately interpret complex legal workflows and product requirements, • Ability to approach every interaction with professionalism, responsiveness, and a strong customer-service mindset, committed to excellence in delivery, • Communicates clearly, visually and verbally, with audiences at all levels. Balances attention to detail with strategic clarity, • Ability to build strong, respectful working relationships across disciplines. Acts as a connector between legal and technical teams, fostering trust through collaboration, clarity, and follow-through, • Thrives in a fast-paced, evolving environment. Navigates ambiguity and shifting priorities with resilience and embraces feedback for continuous improvement Cooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices. EOE. The expected annual pay range for this position with a full-time schedule is $103,000 - $150,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate. Senior level candidates may be considered for this position and would be eligible for a higher salary range based on experience. We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.

Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor’s Degree At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1 years of experience building, scaling, and optimizing ML systems 1 years of experience with data gathering and preparation for ML models 2 years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3 years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3 years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer New York, NY: $176,500 - $201,400 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

We’re hiring a Senior Electrical Engineer to play a key role in the full product development lifecycle of commercial-grade equipment, from concept and design through validation, production, and continuous improvement. Support electrical and electromechanical design throughout the full product

We’re hiring a Senior Electrical Engineer to play a key role in the full product development lifecycle of commercial-grade equipment, from concept and design through validation, production, and continuous improvement. Support electrical and electromechanical design throughout the full product

Canary Technologies is hiring a Sales Engineer to partner closely with Sales, Product, and Customer Success to drive technical validation and value articulation throughout the sales cycle. Sales Engineering role supporting B2B SaaS sales. Create repeatable solution design frameworks and proof plans

Validation Engineer, Validation Specialist, CQV Engineer, Commissioning Engineer, Qualification Engineer, GMP Validation, GxP, IQ OQ PQ, Pharmaceutical Validation, Life Sciences Validation, Equipment Validation, Utilities Validation, Computer System Validation, CSV Engineer, FDA Compliance, GMP Engi

Job DescriptionTagup is a defense technology company founded at MIT that is redefining logistics superiority with next-generation AI. We’re growing rapidly and are looking for change-makers passionate about delivering innovative technologies to solve the most challenging problems in the world’s highest stakes environments. This is an exciting opportunity to engage in meaningful work that strengthens national security and contributes to the success of U.S. and allied forces. Join us in shaping the future of defense logistics for a safer tomorrow. We are seeking a Machine Learning Engineer to join our Salt Lake City team and help shape the next generation of AI-driven defense and aviation systems. In this role, you’ll go beyond building models — you’ll design, deploy, and scale AI solutions that directly support mission-critical operations. This is not a typical ML position. You’ll work at the intersection of cutting-edge research and real-world application, creating models and infrastructure that deliver measurable improvements in reliability, efficiency, and performance. If you’re motivated by solving complex technical challenges and want your work to make a tangible impact on national security and aviation safety, we want to hear from you.What You’ll Do • Develop, train, and optimize ML models for large-scale applications., • Build pipelines for data ingestion and model deployment., • Work with engineers and subject-matter experts to refine solutions., • Conduct testing and validation to ensure reliability., • Co-author technical reports on data analysis and model performance., • Continuously improve ML infrastructure and workflows., • Collaborate with customers to identify new data sources and the industrial processes they will support; some customer travel may be required.What We’re Looking For, • 4+ years of machine learning experience, with strong Python skills and proficiency in frameworks such as PyTorch or TensorFlow., • Proven ability to deploy ML models into production and work with large, complex datasets., • Hands-on experience with MLOps tools and practices, including Kubernetes, MLflow, and CI/CD pipelines., • Experience building and managing cloud infrastructure as code (AWS, Azure, or GCP) with tools such as Terraform or Ansible.

Job DescriptionFST Technical Services Commissioning (Cx) division is one of the leading Cx firms in the country. We partner with clients for quality assurance in the design, construction, and post-acceptance phases of building projects. We ensure that equipment in mechanical, electrical, plumbing, and associated systems are designed, installed, and functionally tested to meet the clients requirements and design intent. About the job: • A commissioning project engineer reports to a team leader and is responsible for the delivery and execution of our professional services tasks for equipment in mechanical, electrical, plumbing, and associated systems., • Primary activities include completing office assignments, time and expense management, in-field installation validation, field observation reports, functional performance testing, meeting attendance and documentation, on-site and factory witness testing, submittal reviews, and design documentation evaluation., • Additional activities include executing target billable hours, managing tasks within time budgeted, leading cx meetings, assisting the construction team with identifying/solving technical issues when they arise, and maintaining positive relations with existing clients on assigned projects., • Administrative activities include supporting the team leader in coordinating with other project engineers and senior project engineers regarding weekly staff scheduling, training/mentoring team members on proper documentation, field procedures, and equipment usage, and participating in the company-wide safety and training programs., • Candidate must be able to travel to and from various job sites within the assigned region., • Requirements:, • Completed a Bachelors Degree in HVACR, Mechanical or Electrical Engineering, construction management or an associates degree in engineering technology or related trade school, construction, maintenance, or engineering controls experience, • 5+ years employment in a staff or intern position related to maintenance, construction, or engineering controls or 1+ years in the Cx industry, • 3+ years of experience managing the interconnectivity of building equipment including pumps, fans, motors, air ventilation, chillers, boilers, steam distribution, heat absorption, building automation systems, optimization techniques, electrical distribution, and fire alarm systems., • Knowledge of construction drawings, specifications, bid process, and ancillary industry documents, • Aptitude to solve problems independently and in a team environment, • Affective verbal and written communication skills, • Public speaking and presentation skills, • Adaptability to varying indoor and outdoor working conditions, • Physical fitness, capability to lift at least 30 pounds, and ability to climb ladders, • Proficiency in Microsoft officePreferred Qualifications: • Trade association involvement, • EIT, ACP, CEM or similar certification from experience, • OSHA 10 or other safe workplace certifications, • Familiarity with building information modeling Pay range based on experience $100k - $130k based on experience FST Technical does not offer employment-based visa sponsorship for this position. Applicants must be legally authorized to work in the United States without the need for employer sponsorship now or in the future. Powered by JazzHR DW8dI5CLW2

Job Description Senior Mechanical Engineer Electromechanical Systems and Industrial Machinery Employment Type: Full-Time Industry Focus: Electromechanical Equipment I Automation Systems I Industrial Manufacturing I Robotics I Custom Machinery I Food and Beverage I Packaging I Water and Wastewater I Processing Equipment A privately owned, highly respected manufacturer with over 50+ years of success delivering complex, high-quality custom and benchmark electromechanical systems for critical infrastructure. Seeking to add to our engineering team a seasoned professional to help us build custom machinery used across the food and beverage, water treatment, packaging, energy, and automation sectors. Every system is designed, fabricated, and assembled on-site in their U.S.-based facilities. A financially stable, customer-trusted, and operates with speed, precision, and integrity. With low turnover, strong leadership, and a tight-knit, collaborative team, this is a rare opportunity for a senior-level engineer looking to make a real impact. Why Work Here • A privately-owned, financially secure, stable organization with a bold growth plan, your contributions matter here, • Recession-resistant with a strong, diverse client base, • All manufacturing and engineering done on-site in the U.S., • Short lead times and fully integrated workflow, • Diverse vertical markets including food processing, automated packaging, and industrial systems, • Long-tenured team with low turnover and deep technical experience, • Real mentorship from senior engineers and technical leadership, • A collaborative, team-first culture that values craftsmanship, integrity, and innovation, • Competitive salary + performance-based bonuses, • Clear pathways for career advancement into operations, technical leadership, or project management, • Access to ongoing technical training and development resources, • Opportunities to work on meaningful projects that impact essential industries, • Flexibility, autonomy, and a culture where good ideas get traction What You Will Do • Lead the design and development of mechanical and electromechanical systems, • Engineer custom industrial machinery, motion systems, and integration for real-world automation, • Create detailed 3D CAD models and drawings using Autodesk Inventor, SolidWorks, and AutoCAD, • Play a key role in the transition to Autodesk Inventor as the core design platform, • Collaborate with sales, drafting, production, service, and R&D teams to ensure design feasibility and performance, • Attend Factory Acceptance Tests, system demos, and customer meetings, • Conduct hands-on testing and root cause analysis to solve engineering challenges, • Recommend improvements to enhance reliability, manufacturability, and cost-efficiency, • Generate full technical documentation including BOMs, manuals, and assembly instructions, • Provide limited on-site support for commissioning and validation, travel is minimal (0 to 2 percent) What You Bring to the Role • Experience designing electromechanical equipment, custom machinery, and automated systems, • High-level proficiency in Autodesk Inventor preferred, along with SolidWorks and AutoCAD, • Solid understanding of GD&T, tolerance analysis, mechanical fasteners, motion control, and pneumatics, • Familiarity with PLM systems and NPI workflows, • Hands-on background and mechanical aptitude is strongly valued. Candidates who enjoy working on cars, engines, machines, or DIY projects often excel here, • Strong communication and collaboration skills with the ability to present technical information clearly to both internal teams and clients, • Associate or bachelor’s degree in Mechanical Engineering or a related discipline, or equivalent hands-on experience, • Proficiency in Microsoft Office and collaboration tools like SharePoint and Microsoft Teams Nice to Have ~But Not Required While not required, familiarity with the following codes and standards is considered a plus: • ASME Section VIII for pressure vessel design and inspection, • ASME B31.1 and B31.3 for power and process piping, • ASME Y14.5 for geometric dimensioning and tolerancing, • ASME B16.5, B36.10M for flanges, pipes, and fittings, • ASME PTC 4 and PTC 46 for boiler and plant performance testing Traits That Help Engineers Thrive Here • Curiosity and a hands-on mindset, • Creative approach to solving practical engineering problems, • Ability to see the big picture while staying detail-oriented, • Integrity, loyalty, and a team-first attitude, • Enjoys challenging workflow, with fresh projects, • Adaptability in a fast-paced manufacturing environment Let’s Build What’s Next – Together If you’re driven by precision, purpose, and the challenge of making great ideas real, we’d love to hear from you. Looking forward getting to know you… We are as well as our client are an equal opportunity employer and welcome all qualified applicants regardless of race, gender, age, disability, veteran status, or other protected classification.

Job Description Technical Solutions Engineer Roll Summary Our Client is seeking a Technical Solutions Engineer to design, build, and scale integrations between Our Client's platform and enterprise customer ecosystems, including MDMs, SIEMs, XDR, SOAR tools, identity providers, and incident management platforms. This highly cross-functional role sits at the intersection of engineering, customer success, and enterprise architecture, partnering closely with product and platform teams to ensure integrations, APIs, and deployment tooling are enterprise-ready, secure, and easy to adopt. You will be hands-on developing and maintaining SDKs, REST APIs, and automation scripts, contributing to documentation, and supporting customers and partners during integration. What You'll Do • Design, build, and maintain integrations between Our Client and third-party systems across MDM, SIEM/SOAR, XDR, identity/SSO, and ticketing/ITSM ecosystems., • Contribute to the design and implementation of customer-facing APIs, SDKs, and reference integrations with clear, consistent, scalable patterns and documentation., • Architect integration flows that scale across large enterprise deployments, emphasizing reliability, performance, fault tolerance, and operational clarity., • Collaborate with customer and partner technical teams to understand environments, troubleshoot integration issues, and propose practical technical solutions., • Build and manage webhook, event, and data-sync frameworks between systems; establish monitoring and error-handling strategies for integrations at scale., • Develop reusable integration patterns and internal tooling to accelerate future partnerships, deployment, observability, and operational automation., • Partner with platform, data, and mobile engineering teams to align integration capabilities with product strategy and customer needs., • 4+ years of experience in integration engineering, solutions engineering, or API development roles., • Strong Python development skills and experience with RESTful APIs, JSON, and authentication standards (OAuth2, JWT, API keys)., • Hands-on experience using Postman (or similar tools) for API design, testing, and validation, including environment setup, collections, and automated test scripts., • Proven experience designing and maintaining scalable integrations with MDMs, SIEMs, SOAR, or identity platforms., • Strong understanding of enterprise authentication, SSO, and provisioning workflows (SCIM, SAML, OIDC)., • Ability to read and implement from vendor API documentation with minimal guidance., • Excellent problem-solving skills, attention to detail, and customer-first mindset. Preferred qualifications will be discussed during the interview process. Work Model • Location: United Kingdom or Ireland, Belfast, Remote (East Coast USA or Canada), • Employment Type: Full-time, • Location Type: Remote, • Mission-driven impact: Help defend against advanced threats like spyware, ransomware, and zero-day exploits., • Culture of transparency and respect: Work in an environment that values impact, respect, and integrity., • Innovative technology leadership: Solve challenges that even major platforms struggle to address., • Our Client is focused on mobile threat hunting—protecting mobile devices with the rigor applied to other vulnerable corporate endpoints., • They believe current solutions do not match the sophistication of modern threats or the privacy expectations of mobile device users., • Their mission is to harmonize security and privacy to help defend frontline users and enterprise environments against advanced mobile threats without sacrificing privacy., • Full benefits, • Unlimited PTO, • Medical, Dental, Vision RightSeat and Our Client are equal opportunity employers. We consider all qualified applicants without regard to protected characteristics and are committed to an inclusive workplace built on respect and integrity.

Job DescriptionReinforcement Learning (RL) Engineer Location: New York (Office) On-site | Full-time Compensation: Competitive Our client is an elite development firm and a high-growth software company responsible for building the infrastructure behind the world’s largest crypto social networks and digital asset launchpads. Operating at the frontier of decentralized finance, the organization is composed of a mission-driven group of builders who prioritize speed, technical excellence, and talent density. The organization is seeking a Reinforcement Learning (RL) Engineer to take end-to-end ownership of an RL-driven trading agent. This individual will manage real capital to increase trading volume and user participation within a high-velocity memecoin ecosystem. This is a high-stakes role designed for a "single-owner" expert who can bridge the gap between sophisticated modeling and live financial production. The successful candidate will transition existing heuristic-based systems toward learning-based approaches while enforcing rigorous risk parameters in a 24/7 global market. Key Responsibilities • Autonomous Agent Development: Own the design, shipment, and iteration of an RL-driven trading agent that utilizes real capital to drive ecosystem engagement., • Objective Function Design: Design reward functions and policies that align strictly with product goals while implementing and enforcing absolute downside risk constraints., • Validation Frameworks: Build robust evaluation and validation frameworks, including simulation and offline analysis, to minimize reliance on live sequential testing., • System Transition: Manage the safe transition of existing heuristic-based production systems toward advanced learning-based approaches., • Technical Leadership: Serve as the sole RL expert within a small, high-caliber team, maintaining responsibility for the entire lifecycle—from data modeling and deployment to monitoring and safety safeguards. Interview Process • Recruiter / HR Call: Initial screening to discuss professional background, risk management philosophy, and cultural alignment., • Technical Interview: A deep-dive assessment into RL architecture, simulation frameworks, and live production experience., • Production Experience: Proven track record of deploying autonomous learning systems into production environments that directly controlled capital, pricing, traffic, or resources. Candidates must be able to demonstrate a deep understanding of system failures and subsequent remediation., • Risk Management: Hands-on experience designing and enforcing hard risk limits, such as capital caps, loss bounds, and circuit breakers, within a live financial or resource-based system., • Evaluation Loop Mastery: Experience building policy evaluation loops from scratch, including simulators, replay, counterfactuals, and shadow deployments, prior to live rollout., • Empirical Judgment: Ability to make and defend pragmatic technical tradeoffs (e.g., opting for heuristics over RL or bandits over deep RL) based on empirical results rather than theoretical preference., • Operational Independence: Demonstrated experience as the primary owner of a complex ML system within a lean environment, operating without the support of dedicated research organizations or external ML platforms., • High-Stakes Autonomy: Unmatched ownership over an RL agent managing real-world capital and massive user traffic., • Scale Exposure: Direct involvement with systems operating at the absolute edge of crypto and financial technology scale., • Elite Talent Density: Opportunity to collaborate with a mission-driven group of engineers who value first-principles thinking., • Immediate Impact: The ability to ship fast and see real-world results and market reactions instantly., • Compensation: A competitive package including Base Salary plus Equity/Tokens. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .

Job DescriptionAbout Voyant: Voyant Photonics, based in the heart of New York City, is transforming machine perception with a new class of LiDAR devices that are compact enough to fit in the palm of your hand and powerful enough to measure range, velocity, and reflectivity with unparalleled accuracy. By leveraging cutting-edge silicon photonic chips smaller than your fingertip, we deliver sensors that are not only revolutionary in performance but also affordable enough to integrate into any system. Our technology disrupts the status quo of bulky, expensive, and power-hungry LiDAR systems, making high-precision sensing accessible for widespread adoption in robotics, autonomous vehicles, drones, industrial automation, and beyond. With Voyant, the next generation of machines can see, understand, and navigate the world like never before. Discover how we’re redefining what’s possible by making real products out of cutting-edge research in silicon photonics. Position Overview: We are seeking a highly motivated and self-driven Photonics Test Engineer to take ownership of test development and operations for our cutting-edge silicon photonics FMCW LiDAR technology. This is a hands-on role where you will develop and execute advanced test methodologies, ensure rigorous validation of our photonics devices, and work closely with a multidisciplinary engineering team. You will set a high standard for test execution, troubleshooting, and process improvements, leading by example through direct contributions and technical expertise. Key Responsibilities: * Develop and execute design verification tests, analyze results, and provide feedback to improve device performance. * Define and implement both die-level and wafer-level test solutions in collaboration with design, product, and packaging teams. * Develop production test solutions for silicon photonics components to ensure manufacturability and scalability. * Optimize and standardize test and analysis methodologies to improve repeatability and accuracy. * Bring up, manage, and operate automated wafer-level test (WLT) probers for silicon photonics devices. * Perform routine setup calibrations and ensure quality control in test processes. * Identify and mitigate test challenges, ensuring the execution of large-scale technical projects in a timely and efficient manner. Qualifications: * Education: Bachelor's, Master’s, or PhD in Electrical Engineering, Photonics, Optics, Physics, or a related field. * Experience: Minimum 2 years of hands-on lab experience testing silicon photonics devices or related photonics/optics components. * Technical Expertise: * Strong understanding of optical integrated circuit (PIC) design, testing, and its impact on product yield and performance. * Hands-on experience with optical test and measurement equipment (e.g., optical spectrum analyzers, power meters, interferometers, high-speed photodetectors) and optomechanical alignment tools. * Proficiency in Python for test automation, data analysis, and instrument control. * Knowledge of automated wafer-level testing (WLT) and test methodologies for silicon photonics. Practical experience in WLT is highly preferred. * Experience with fiber alignment automation or active alignment techniques. * Problem-Solving: Strong analytical and troubleshooting skills, with the ability to resolve complex system issues and propose corrective actions. * Communication & Collaboration: * Strong verbal and written communication skills to effectively convey complex test results, analysis, and technical insights. * Ability to work cross-functionally with design, manufacturing, and packaging teams. * Work Ethic & Adaptability: * Highly self-motivated and capable of managing multiple tasks with attention to detail. * Comfortable working in a fast-paced environment with evolving technical challenges. Benefits Package: * Competitive base salary and meaningful equity package. * Comprehensive health benefits (Medical, Dental, Vision). * Unlimited PTO and paid company holidays. * Team events and company meetups. * Complimentary lunch provided daily at our NYC office Equal Opportunity Employer Voyant Photonics is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, pregnancy, marital or partnership status, age, national origin, citizenship, veteran or military status, disability, medical condition, genetic information, caregiver status, or any other characteristic protected by law.

Job DescriptionOn-site Position Who You Are You are an innovative and detail-oriented Full-Stack Engineer with a passion for building reliable, secure, and scalable applications. You thrive in complex enterprise environments, enjoy collaborating with diverse teams, and are committed to continuous learning and technical excellence. You’re someone who finds energy in problem-solving, optimizing cloud architectures, and delivering high-quality software that directly impacts millions of users. You take ownership of your work, enjoy mentoring others, and value process discipline — especially in environments that demand precision, performance, and compliance. If you want to grow with a mission-driven company, contribute to world-class projects with global clients like JP Morgan Chase, and help elevate Latin American tech talent to its fullest potential, this is the role for you. Who We Are MAS means “more” in Spanish — and that’s what we stand for. We believe in providing more opportunities, more inclusion, and more impact. Founded by a Latina engineer from Medellín and based in Tampa, Florida, MAS Global Consulting is a 100% Hispanic and woman-owned company, recognized as a Great Place to Work and one of the Fastest-Growing Companies in the US. We connect top Latin American talent with North American clients to build digital, data, and cloud solutions. Our teams are currently helping world-leading organizations like JP Morgan Chase, Johnson Controls, and Dell to modernize platforms, deliver innovation, and scale digital transformation. How You Will Make Impact As a Full-Stack Java Developer, you will design, build, and optimize microservices and customer-facing applications that process massive volumes of secure transactions daily. You will work directly with Chase engineers under a time-and-materials engagement, embedded in agile delivery teams. Your contributions will drive real impact by improving system performance, enhancing observability, and enabling data-driven financial solutions at scale. Key Responsibilities • Design and develop RESTful APIs and microservices using Java (11+), Spring Boot, and Spring Cloud frameworks., • Implement event-driven architectures with Kafka (producers, consumers, schema management, and streaming)., • Deploy and manage services on AWS ECS/Fargate, using Terraform or CloudFormation for Infrastructure-as-Code and Spinnaker for CI/CD automation., • Integrate and maintain data flows with Cassandra, AWS S3, or Spark-based pipelines., • Collaborate with frontend teams using React or Angular to deliver seamless, full-stack solutions., • Leverage Python for automation, data validation, or integration scripting (nice-to-have)., • Ensure quality through Test-Driven Development, automated testing, and continuous integration practices., • Partner with DevOps and QA teams to enhance resilience, scalability, and performance across distributed systems., • Participate in sprint planning, design reviews, and retrospectives while following Agile/Scrum practices., • Champion best practices in security, code quality, and documentation, ensuring compliance with Chase’s standards.You Have:, • BS/BA degree or equivalent experience in Computer Science, Engineering, or related field., • 7+ years of experience building enterprise-grade applications using Java / Spring Boot., • Proven experience developing and deploying microservices on AWS Cloud (ECS, Fargate, Lambda)., • Solid understanding of Kafka, Docker/Kubernetes, and distributed system design., • Hands-on experience with CI/CD pipelines (Spinnaker, Jenkins, or GitHub Actions)., • Experience with frontend frameworks like React or Angular for full-stack delivery., • Familiarity with Cassandra, SQL/NoSQL databases, and data streaming concepts., • Working knowledge of Python3 for automation or data processing (nice-to-have)., • Exposure to observability tools like Datadog, Splunk, or Dynatrace for monitoring and troubleshooting., • Experience working in Agile environments and collaborating in cross-functional teams., • Excellent communication skills — able to explain technical concepts to both engineers and product stakeholders.Bonus Skills (Nice to Have):, • Knowledge of Apache Spark, Flink, or data engineering concepts., • Familiarity with financial services, regulated environments, or compliance-heavy systems., • Experience integrating AI/ML-powered recommendation systems or event-driven personalization logic., • Awareness of performance testing, NFR validation, and resilience patterns (DLQ, retries, fallback).Benefits, • Health: Medical, dental, and vision coverage., • Time Away: Vacation, holidays, wellness days, and parental leave., • Financial: 401(k), basic life, and AD&D insurance. Powered by JazzHR eo3X22hHCS

Job DescriptionOn-site Position Who You Are You are an innovative and detail-oriented Full-Stack Engineer with a passion for building reliable, secure, and scalable applications. You thrive in complex enterprise environments, enjoy collaborating with diverse teams, and are committed to continuous learning and technical excellence. You’re someone who finds energy in problem-solving, optimizing cloud architectures, and delivering high-quality software that directly impacts millions of users. You take ownership of your work, enjoy mentoring others, and value process discipline — especially in environments that demand precision, performance, and compliance. If you want to grow with a mission-driven company, contribute to world-class projects with global clients like JP Morgan Chase, and help elevate Latin American tech talent to its fullest potential, this is the role for you. Who We Are MAS means “more” in Spanish — and that’s what we stand for. We believe in providing more opportunities, more inclusion, and more impact. Founded by a Latina engineer from Medellín and based in Tampa, Florida, MAS Global Consulting is a 100% Hispanic and woman-owned company, recognized as a Great Place to Work and one of the Fastest-Growing Companies in the US. We connect top Latin American talent with North American clients to build digital, data, and cloud solutions. Our teams are currently helping world-leading organizations like JP Morgan Chase, Johnson Controls, and Dell to modernize platforms, deliver innovation, and scale digital transformation. How You Will Make Impact As a Full-Stack Java Developer, you will design, build, and optimize microservices and customer-facing applications that process massive volumes of secure transactions daily. You will work directly with Chase engineers under a time-and-materials engagement, embedded in agile delivery teams. Your contributions will drive real impact by improving system performance, enhancing observability, and enabling data-driven financial solutions at scale. Key Responsibilities • Design and develop RESTful APIs and microservices using Java (11+), Spring Boot, and Spring Cloud frameworks., • Implement event-driven architectures with Kafka (producers, consumers, schema management, and streaming)., • Deploy and manage services on AWS ECS/Fargate, using Terraform or CloudFormation for Infrastructure-as-Code and Spinnaker for CI/CD automation., • Integrate and maintain data flows with Cassandra, AWS S3, or Spark-based pipelines., • Collaborate with frontend teams using React or Angular to deliver seamless, full-stack solutions., • Leverage Python for automation, data validation, or integration scripting (nice-to-have)., • Ensure quality through Test-Driven Development, automated testing, and continuous integration practices., • Partner with DevOps and QA teams to enhance resilience, scalability, and performance across distributed systems., • Participate in sprint planning, design reviews, and retrospectives while following Agile/Scrum practices., • Champion best practices in security, code quality, and documentation, ensuring compliance with Chase’s standards.You Have:, • BS/BA degree or equivalent experience in Computer Science, Engineering, or related field., • 7+ years of experience building enterprise-grade applications using Java / Spring Boot., • Proven experience developing and deploying microservices on AWS Cloud (ECS, Fargate, Lambda)., • Solid understanding of Kafka, Docker/Kubernetes, and distributed system design., • Hands-on experience with CI/CD pipelines (Spinnaker, Jenkins, or GitHub Actions)., • Experience with frontend frameworks like React or Angular for full-stack delivery., • Familiarity with Cassandra, SQL/NoSQL databases, and data streaming concepts., • Working knowledge of Python3 for automation or data processing (nice-to-have)., • Exposure to observability tools like Datadog, Splunk, or Dynatrace for monitoring and troubleshooting., • Experience working in Agile environments and collaborating in cross-functional teams., • Excellent communication skills — able to explain technical concepts to both engineers and product stakeholders.Bonus Skills (Nice to Have):, • Knowledge of Apache Spark, Flink, or data engineering concepts., • Familiarity with financial services, regulated environments, or compliance-heavy systems., • Experience integrating AI/ML-powered recommendation systems or event-driven personalization logic., • Awareness of performance testing, NFR validation, and resilience patterns (DLQ, retries, fallback).Benefits, • Health: Medical, dental, and vision coverage., • Time Away: Vacation, holidays, wellness days, and parental leave., • Financial: 401(k), basic life, and AD&D insurance. Powered by JazzHR 1Vxvxla96D

Job Description Job Title: Java/Node.js Engineer – Security Remediation & Technical Debt Automation Location: NJ or STL (Hybrid) Employment Type: Contract Experience Level: 7+ years Rate : 55-60$/Hr on 1099 / C2C About the Role We are seeking a highly skilled Java/Node.js Engineer with expertise in application security remediation, technical debt reduction, and automated vulnerability fixes. This role involves identifying, triaging, and remediating security vulnerabilities across Java, Node.js, Ruby on Rails, and WordPress applications. You will also drive automated remediation workflows and work with Generative AI tools (e.g., AWS Bedrock) to accelerate secure coding and vulnerability fixes. This position requires collaboration with InfoSec, QA, DevOps, Architecture, and development teams to continuously improve our security posture. Key Responsibilities Vulnerability Remediation & Secure Coding • Analyze, triage, and remediate vulnerabilities identified through SAST, DAST, and SCA tools (SonarQube, Veracode, Checkmarx, Snyk, OWASP ZAP)., • Refactor insecure Java, Node.js, Ruby on Rails, and WordPress codebases to fix issues such as:, • SQL Injection, XXE, XSS, • CSRF, SSRF, • Insecure Deserialization, • Authentication & session management flaws, • Path traversal or file upload vulnerabilities, • Patch and upgrade vulnerable third-party dependencies (Maven, Gradle, npm, Bundler, Composer) and validate remediation results., • Harden and secure configurations across:, • Spring Boot APIs, • Node.js/Express.js services, • Ruby on Rails frameworks, • WordPress environments and plugins, • Integrate security checks and automated remediation into CI/CD pipelines (Jenkins, GitHub Actions)., • Build or enhance AI-driven security workflows using AWS Bedrock or equivalent GenAI platforms:, • Auto-generate secure code patches, • Summarize vulnerability reports, • Suggest prioritized fixes, • Provide real-time security recommendations for developers, • Identify and fix legacy security issues across Java, Node.js, Rails, and WordPress applications., • Modernize outdated components, remove deprecated libraries, and refactor insecure patterns., • Work closely with InfoSec and QA teams to validate fixes, perform rescans, and close vulnerability tickets., • Partner with development teams to promote secure coding best practices., • Stay current on OWASP Top 10, CWE/SANS 25, CVEs, and emerging security threats across multiple tech stacks. Required Skills • Strong hands-on experience with Core Java, Spring Boot, REST APIs, Tomcat, and secure Java coding., • Proficiency in Node.js, Express.js, JavaScript/TypeScript., • Exposure to Ruby on Rails and WordPress, with the ability to assist in vulnerability remediation and secure configuration., • Strong understanding of application vulnerabilities and mitigation techniques (e.g., XSS, CSRF, SQL Injection)., • Experience with Veracode, Checkmarx, SonarQube, Snyk, or similar scanning tools., • Familiarity with OAuth2/JWT, encryption, secure session management, and API security., • Experience with Docker, Kubernetes, Linux hardening, and AWS cloud security., • Experience using or integrating Generative AI (AWS Bedrock, CodeWhisperer) in security workflows., • Experience with microservices, API gateways, and cloud-native security., • Understanding of OWASP ASVS, threat modeling, and DevSecOps best practices., • Experience with automating remediation workflows using GenAI., • Strong analytical, debugging, and problem-solving skills., • Excellent communication and documentation abilities., • Collaborative mindset with the ability to work across security, development, and DevOps teams., • Self-driven, proactive, and detail-oriented with a commitment to secure, high-quality code.

Job DescriptionData Engineer Employment Type: Full-Time, Mid-levelDepartment: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights. The ideal candidate is a critical thinker and perpetual learner; excited to gain exposure and build skillsets across a range of technologies while solving some of our clients’ toughest challenges. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success:-Complete development efforts across data pipeline to store, manage, store, and provision to data consumers.-Being an active and collaborating member of an Agile/Scrum team and following all Agile/Scrum best practices.-Write code to ensure the performance and reliability of data extraction and processing.-Support continuous process automation for data ingest.-Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing.-Work with program management and engineers to implement and document complex and evolving requirements.-Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork.-Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists. Qualifications:-Must be a US Citizen.-Must be able to obtain a Public Trust Clearance.-7+ years of IT experience including experience in design, management, and solutioning of large, complex data sets and models.-Experience with developing data pipelines from many sources from structured and unstructured data sets in a variety of formats.-Proficiency in developing ETL processes, and performing test and validation steps.-Proficiency to manipulate data (Python, R, SQL, SAS).-Strong knowledge of big data analysis and storage tools and technologies.-Strong understanding of the agile principles and ability to apply them.-Strong understanding of the CI/CD pipelines and ability to apply them.-Experience with relational database, such as, PostgreSQL.-Work comfortably in version control systems, such as, Git Repositories. Ideally, you will also have:-Experience creating and consuming APIs.-Experience with DHS and knowledge of DHS standards a plus.-Candidates will be given special consideration for extensive experience with Python.-Ability to develop visualizations utilizing Tableau or PowerBI.-Experience in developing Shell scripts on Linux.-Demonstrated experience translating business and technical requirements into comprehensive data strategies and analytic solutions.-Demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences. Our Commitment:Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package:-Health, Dental, and Vision-Life Insurance-401k-Flexible Spending Account (Health, Dependent Care, and Commuter)-Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: For more information about CGS please visit: or contact:Email: #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description OUR MISSION We exist to create a more connected, compassionate, and confident experience for people with cancer and those who care for them. We make it easier to get answers, access high-quality care quickly, and feel supported throughout treatment and beyond. Today, Thyme Care is a market-leading value-based oncology care enabler, partnering with national and regional health plans, providers, and employers to deliver better outcomes and lower costs for thousands of people across the country. Our model combines high-touch human support with powerful technology and AI to bring together everyone involved in a person's cancer journey: caregivers, oncologists, health plans, and employers. As a tech-native organization, we believe technology should strengthen the human connection at the center of care. Through data science, automation, and AI, we simplify complexity, improve collaboration, and help care teams focus on what matters most: supporting people through cancer. Looking ahead, our vision is bold: to become a household name in cancer care, where every person diagnosed asks for Thyme Care by name. If you're inspired to make cancer care more human and to help reimagine what's possible, we'd love to meet you. Together, we can build a future where every person with cancer feels truly cared for, in every moment that matters. WHAT YOU'LL DO As a Data Integration Engineer on our Data Ingestion & Care Enablement (DICE) team, you'll be part of the horizontal layer that keeps partner and vendor data flowing reliably into Thyme Care. In this position, you will collaborate closely with our Product Manager and other Data teammates focused on data ingestion and analytics engineering. You'll work across many deals and data sources, supporting Data Scientist deal owners by making ingestion consistent, debugging failures, and raising the reliability bar through better tests, monitoring, and data contracts. In the course of your work you should also expect to: • Gain a deep understanding of our data platform and contribute to improving our data models and pipelines using SQL, dbt, and python (generally data-focused packages, e.g., pandas, polars), • Support ingestion of a wide range of healthcare-related sources (claims, eligibility, prior auth, ADT, etc.) by, • Configuring net-new ingestions (parsing file specs, validating assumptions, communicating inconsistencies), • Debugging issues in ongoing ones, • Helping standardize our processes and pipelines, • Collaborate with data scientist deal owners and internal stakeholders to turn messy, ambiguous requirements into concrete mapping/validation logic and durable data contracts, • Use Dagster and GitHub Actions to orchestrate and automate the early stages of our data pipelines, improving run reliability and reducing manual intervention, • Work hands-on with raw data using Jupyter Notebooks in Databricks to investigate data issues, validate assumptions, and unblock processing, • Design and support incremental data loads (append/merge/upsert patterns) and safe reprocessing (idempotent runs, late-arriving data, backfills), • Learn to use Datadog and PagerDuty to monitor pipelines, triage incidents during business hours, communicate impact clearly, and drive root-cause fixes to prevent recurrences, • Strong SQL skills, • Familiarity with dbt (and an interest in ramping up your expertise), including working in larger/complex projects, • Working knowledge of Python for data investigation in notebooks, • Experience operating data pipelines: debugging failures, tracing issues across systems, and communicating clearly about root cause and mitigation, • Experience with testing and data quality: writing and maintaining tests and using failures/alerts to drive durable fixes, • Responsiveness and the ability to stay calm and organized when triaging failing ingestion runs or pipelines, • Willingness to learn new domains and tools quickly (new partner file formats, evolving standards, Databricks), and apply feedback without ego, • The ability to engage technical and non-technical stakeholders to explain what's happening in our pipelines and identify opportunities to improve transparency and alerting, • Act with our members in mind. Thyme Care's mission, and in particular our member experience, matters deeply to you., • Move with purpose. You're biased to action. You know how to identify and prioritize your initiative's needs, and do what it takes to ensure that urgent and important needs are acted on immediately., • Seek diverse perspectives. You are humble and actively seek feedback from others, eager to learn and share knowledge., • Reliability mindset. You treat recurring failures as solvable system problems and systematically reduce them with testing and automation., • Practical judgment. You know when to ship a safe fix now vs. invest in a sturdier improvement, and you document the why., • Clear collaboration. You work smoothly with DS, PM, and Platform counterparts, understanding competing priorities and turning ambiguity into concrete next steps. At Thyme Care, our core values guide us in everything we do: Act with our members in mind, Move with purpose, and Seek diverse perspectives. They anchor our business decisions, including how we grow, the products we make, and the paths we choose—or don't choose. Our salary ranges are based on paying competitively for our size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Thyme Care. Individual pay decisions are based on several factors, including qualifications, experience level, skillset, and balancing internal equity relative to other Thyme Care employees. The base salary for this role is $139,500-$155,000. The salary range could be lower or higher than this if the role is hired at another level. We recognize a history of inequality in healthcare. We're here to challenge the status quo and create a culture of inclusion through the care we give and the company we build. We embrace and celebrate a diversity of perspectives in reflection of our members and the members we serve. We are an equal-opportunity employer. Be cautious of recruitment fraud, and always confirm that communications are coming from an official Thyme Care email.

Job DescriptionBustle Digital Group (BDG) is looking for a talented Data Engineer to join our growing data team. You will work alongside the Director of Data Engineering to build, optimize, and scale our data infrastructure, supporting the development of data-driven products and insights that power our advertising, affiliate sales, and editorial content strategies. This is a fantastic opportunity to work with large-scale data pipelines, cutting-edge technologies, and a dynamic team that values innovation and impact.What You'll Do • Develop & Maintain Data Pipelines: Build scalable and efficient ETL pipelines to support analytics, reporting, and machine learning initiatives., • Optimize Data Storage & Performance: Work with large datasets to improve storage solutions, query performance, and data accessibility., • Collaborate Cross-Functionally: Partner with engineering and business teams to develop data solutions that enhance advertising, affiliate sales, and editorial insights., • Ensure Data Quality & Reliability: Implement monitoring, validation, and governance processes to maintain the integrity and security of our data., • Contribute to Data Strategy: Support the Director of Data Engineering in designing and implementing scalable data architectures and best practices.Who You Are, • Experienced Data Engineer: 2+ years of experience working with data infrastructure, ETL processes, and large-scale datasets., • Proficient in SQL & Python: Strong knowledge of SQL for querying and manipulating data, and experience with Python for scripting and automation., • Cloud & Big Data Savvy: Hands-on experience with cloud platforms (AWS, GCP, or Azure), data warehouses (BigQuery, Redshift, Snowflake), and distributed processing (Spark, Airflow, or similar)., • Experience working data generating frontends in React and TypeScript., • Problem Solver & Innovator: Passionate about solving complex data challenges and improving system efficiency., • Team Player & Communicator: Strong collaboration skills, with the ability to explain technical concepts to non-technical stakeholders.BDG Benefits, • Competitive Compensation: Market-based salary with annual reviews., • Unlimited PTO: Take the time you need to recharge and stay productive., • Health & Wellness: Comprehensive medical, dental, and vision coverage for you and your dependents., • Retirement Savings: 401(k) plan.

Job Description The Diagnostic Engineer plays a key role in developing and implementing diagnostic testing suites to ensure the quality of L6/L10 production. You will collaborate with both manufacturing teams and customers to address and resolve issues related to diagnostic programs, leveraging your strong development and debugging skills. The role requires teamwork and close cooperation with cross-functional teams to ensure successful product delivery and operational excellence. Key Responsibilities: * Diagnostic Program Development: Collaborate with the Manufacturing Test Engineering (MFG TE) team to design, develop, and deliver robust diagnostic programs that ensure high-quality production standards for L6/L10 hardware. * Cross-Team Collaboration: Work closely with the Taiwan core team to implement and refine diagnostic programs, ensuring alignment with both technical and production requirements. * Issue Resolution: Lead the resolution of customer-reported issues, utilizing strong troubleshooting skills to identify root causes and implement effective solutions in the diagnostic program or manufacturing process. * Stress Testing: Develop and maintain stress testing programs to validate product durability under extreme conditions, identifying weaknesses and ensuring product robustness. * Test Planning & Deployment: Develop comprehensive test plans based on the system's hardware specifications, ensuring that these plans are effectively deployed in manufacturing processes to validate the product's quality before release. Required Skills and Qualifications: * Technical Expertise: Proficient in Python and Bash shell scripting, with a strong ability to develop and automate diagnostic testing processes. * Linux Environment Proficiency: Familiarity with the Linux environment, including system configuration, administration, and troubleshooting. * Hardware Knowledge: In-depth understanding of server hardware architecture and protocols, allowing for accurate development of diagnostic programs tailored to specific hardware systems. * Problem-Solving Skills: Strong ability to diagnose and resolve complex technical issues related to both hardware and software, ensuring smooth diagnostic processes in manufacturing environments. * Cross-Functional Teamwork: Ability to work effectively with various internal teams, including hardware, firmware, and manufacturing teams, to ensure seamless program development and issue resolution. * Customer-Focused Mindset: A proactive approach to resolving customer-reported issues and ensuring high levels of customer satisfaction. Preferred Qualifications: * Experience in hardware validation, stress testing, and manufacturing test program development. • Familiarity with industry-standard diagnostic tools and frameworks., • Bachelor’s or Master’s degree in Mechanical, Electrical, or Industrial Engineering, or a related technical field Strong understanding of production testing environments and processes. Personal Attributes: * Excellent communication skills, with the ability to present technical concepts clearly to both technical and non-technical stakeholders. * High attention to detail and strong organizational skills. * Ability to manage multiple tasks efficiently and work well under pressure. Powered by JazzHR 4CUkyH5KuV

Job Description About Voyant Voyant Photonics, based in the heart of New York City, is transforming machine perception with a new class of LiDAR devices that are compact enough to fit in the palm of your hand and powerful enough to measure range, velocity, and reflectivity with unparalleled accuracy. By leveraging cutting-edge silicon photonic chips smaller than your fingertip, we deliver sensors that are not only revolutionary in performance but also affordable enough to integrate into any system. Our technology disrupts the status quo of bulky, expensive, and power-hungry LiDAR systems, making high-precision sensing accessible for widespread adoption in robotics, autonomous vehicles, drones, industrial automation, and beyond. The Opportunity We are seeking a Senior Production Test Engineer to lead the development and implementation of scalable, high-throughput test infrastructure for end-of-line testing for our integrated LiDAR sensor. You will be responsible for engineering and developing robust test methodologies with the goal of mass production for our LiDAR units. This is a highly cross-functional role working closely with Systems, Photonics, Electrical, Firmware, and Manufacturing Engineering teams to ensure performance, yield, and reliability from prototype to volume production. Key Responsibilities * Design and implement end-of-line (EOL) test strategies for LiDAR sensors, validating system-level performance (range, velocity, reflectivity, etc.). * Develop automated test fixtures and software to support both in-line and EOL testing in a production setting. * Translate lab-level validation methods into robust and scalable production tests across optical, electrical, and mixed-signal domains. * Partner with external contract manufacturers and test vendors to stand up and scale production test infrastructure; support factory bring-up and operator training. * Drive test coverage, throughput, and cost optimization in both low- and medium-volume manufacturing. * Lead root cause investigations for test failures across the stack and work cross-functionally to implement fixes. * Own and continuously improve statistical process control (SPC), yield tracking, and test data analytics across the production lifecycle. * Support reliability and environmental testing (e.g. thermal cycling, vibration, shock) for product qualification. Qualifications * Bachelor’s or Master’s degree in Electrical Engineering, Optical Engineering, Physics, or a related discipline. * 5+ years of experience in production test engineering with a focus on LiDAR systems or optical sensors. * Proven expertise in system-level testing for LiDAR, imaging, or other complex optical systems. * Hands-on experience developing and deploying automated test setups (Python preferred), including test instrumentation and DAQ systems. * Proven track record in statistical process control, yield analysis, and high-volume data-driven decision-making. * Demonstrated experience owning test strategy and implementation in a manufacturing or pilot-line environment. * Experience interfacing with contract manufacturers and external test vendors. Preferred Qualifications * Experience with test and validation FMCW LiDAR or coherent optical systems. * Exposure to MES systems, manufacturing analytics platforms, or test data infrastructure. Benefits * Competitive salary and meaningful equity package * Comprehensive health benefits (Medical, Dental, Vision) * Unlimited PTO and paid company holidays * Team events and company meetups * Hybrid or remote work environment with monthly travel for remote employees. * Complimentary lunch provided daily at our NYC office Equal Opportunity Employer Voyant Photonics is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, pregnancy, marital or partnership status, age, national origin, citizenship, veteran or military status, disability, medical condition, genetic information, caregiver status, or any other characteristic protected by law.

Job DescriptionAbout UsCanary Technologies is changing the game for hotels with modern software powered by Canary's hospitality-specific AI platform. Canary is utilized by 20,000+ hoteliers in 100+ countries to equip hoteliers with the technology they need to work smarter and wow their guests. Major hotel brands such as Wyndham, Marriott, IHG, Four Seasons, Rosewood, and Best Western trust Canary to deliver results. Canary was named a 2024 Deloitte Technology Fast 500™ company, a Most Innovative Company by Fast Company and a HotelTechReport Best Place to Work — and is backed by top Silicon Valley investors like Y Combinator, F-Prime, Brighton Park Capital and Insight Partners. Join us in shaping the future of hospitality! About the RoleCanary Technologies is hiring a Sales Engineer to partner closely with Sales, Product, and Customer Success to drive technical validation and value articulation throughout the sales cycle. This role will own demos, technical discovery, solution design, and assist / coordinate RFP and RFI responses, ensuring accuracy, differentiation, and alignment with buyer requirements. The ideal candidate is technically fluent, commercially sharp, and comfortable operating in an early-stage, high-ownership environment. Prior experience supporting B2B SaaS sales teams, is strongly preferred.Responsibilities • Establish and execute standard demo workflows, including customization patterns and coverage for newly launched features., • Define and document technical discovery SOPs to consistently map customer systems, integrations, data flows, and constraints., • Create repeatable solution design frameworks and proof plans in partnership with Engineering and Product., • Build and maintain standardized RFP/RFI response processes, including accurate, differentiated technical content and internal coordination., • Develop processes to validate early-stage product features, capture field feedback, and prepare them for sales enablement., • Partner with Sales to formalize deal execution playbooks covering objection handling, stakeholder alignment, and proof milestones., • Document and maintain security and compliance artifacts to support buyer reviews and risk assessments., • Produce scalable enablement assets, including playbooks, guides, and reusable demo components.Qualifications, • Experience: 3–5+ years in a Sales Engineering role supporting B2B SaaS sales., • Domain exposure: Familiarity with hospitality systems (PMS preferred) or similarly complex integration environments., • Technical fluency: Working knowledge of APIs (REST, webhooks) and light scripting to support demos and proofs., • Security/compliance: Experience supporting security, privacy, and compliance reviews with enterprise buyers., • RFP/RFI: Proven experience owning or significantly contributing to technical RFP/RFI responses., • Early-stage product: Demonstrated ability to validate v0/v1 features and convert field feedback into sales enablement., • Sales partnership: Track record of effective technical discovery, objection handling, and stakeholder alignment., • Communication: Clear, concise, executive-level written and verbal communication.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at you'll do: CoreWeave is seeking a highly skilled and motivated HPC Performance Engineer to join our HAVOCK Team, reporting into the Manager of Systems Engineering. In this role, you will play a crucial part in the design, development, and optimization of our bare-metal systems from POST through joining a Kubernetes cluster. The team's primary responsibilities include maintaining a custom Linux kernel, various OS images (Ubuntu-based), the virtualization stack (kubevirt/qemu/vfio), and the container/pod runtime stack (containerd/nydus/kubelet). You will collaborate closely with cross-functional teams, up stack engineering teams, and stakeholders to ensure our low-level software stack is performant in the context of hardware updates; and providing data, metrics, dashboards, and analysis to substantiate performance assertions. Kernel Hardware - Acceleration - Virtualization - Operating Systems - Containerization - Kubelet Our Team's Stack: • Python, Go, bash/sh, C, • Prometheus, Victoria Metrics, Grafana, • Linux Kernel (custom build), Ubuntu, • Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs, • Docker, kubernetes (k8s), KubeVirt, containerd, kubeletAbout the role:, • Develop and maintain tools for establishing systems performance baselines, • Develop and maintain performance regression analysis testing automation, • Design and maintain performance regression test pipelines for HPC workloads, • Debug and Tune fabric-level performance to ensure low-latency high throughput configurations, • Development of telemetry for performance analysis across distributed clusters of servers, • Triage and fix performance issues in Linux, • Collect data, produce metrics and visualizations that communicate performance information compared to benchmarks; this data should lead to appropriate business decisions and toward greater automation that improves customer experience in relation to performance, • Define Linux and OS requirements, specifications, and system architecture in relation to systems performance, in collaboration with cross-functional teams. Along with these responsibilities there will also be cross team collaboration to triage and resolve bottlenecksWho you are:, • 5+ years of professional experience in Systems/HPC Performance Engineering, Benchmarking, and/or Validation., • Strong experience with MPI workloads and distributed system performance analysis, • Familiarity with RoCE, InfiniBand, and GPUDirect/Data Direct I/O, NUMA, etc in HPC workloads, • Hands-on use of public HPC benchmarks (HPCC, HPL, OSU, MLPerf-HPC, STREAM, IO500), • Extensive, deep experience in Linux internals, • Fluency with a programming language geared toward automation (Python preferred, but others possible), • Experience writing robust, testable code, • Experience diagnosing and fixing systems performance issues, • Experiencing with implementing automation testing, • Ability to effectively prioritize and communicate proposed features and fixes in a remote-employee environment, • Strong passion for automation, with a commitment to automating processes comprehensively, • Excellent documentation skills and attention to detail, • Familiarity with QA/QE best practices, • Familiarity with Golang, • Opinions about software version control and team collaboration, • Experience working in Cloud environments, • Experience as a software engineer writing large-scale applications, • Experience in open-source community software development, • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . Senior Systems Engineer, Kernel Automation & Validation CoreWeave is seeking a specialized Kernel Automation Engineer to join our HAVOCK Team. In this role, you will be the architect of our validation infrastructure. You won't just run tests; you will design the framework that ensures stability across the entire vertical stack—from Firmware to Kernel to NCCL to Slurm. We need an engineer who understands that a kernel is only as good as the workloads it supports. You will build the CI/CD pipelines and hardware-in-the-loop test harnesses that validate our custom Linux builds against next-generation GPUs, high-speed interconnects, and AI schedulers. Hardware - Acceleration - Virtualization - Operating Systems - Containerization - Kubelet Our Team's Stack: • Languages: Python (expert level), Go, Bash, C, • CI/CD & Automation: GitHub Actions, Jenkins, Ansible, Terraform, ArgoCD, • Validation Tools: LAVA (Linaro), LabGrid, kselftest, Pytest, Syzkaller, • The Stack: BIOS/BMC Firmware, Linux Kernel, OFED/RDMA drivers, NCCL, Slurm, • End-to-End Test Framework: building a unified test harness that triggers validation from low-level firmware up to high-level Slurm job scheduling., • Hardware-in-the-Loop: Managing and automating a fleet of bare-metal DUTs (Device Under Test) for kernel regression testing., • Performance Validation: Automating benchmarks for NCCL (GPU-to-GPU communication) and RDMA to catch latency regressions before production., • Build Pipeline Evolution: Refactoring the "Havock" build system to allow any engineer to spin up a custom kernel and test it on real hardware via CLI., • Design and implement a "full-stack" validation pipeline that ensures a kernel change doesn't break NCCL rings or Slurm scheduling logic., • Develop a CLI tool (Go/Python) that allows kernel engineers to launch ad-hoc test runs on specific hardware SKUs., • Automate the provisioning of test nodes, including BIOS/BMC configuration and firmware flashing., • Integrate standard kernel tests (LTP, kselftest, blktests) into a modern CI/CD workflow., • 5+ years of experience in Test Automation, Release Engineering, or Systems Development., • Strong Python/Go skills: Ability to write complex test frameworks and CLI tools (beyond simple scripting)., • The "Vertical" Perspective: Experience debugging or testing interactions between Firmware, Kernel, and Userspace., • CI/CD Expertise: Experience building pipelines that manage hardware resources (not just software builds)., • HPC Knowledge: Familiarity with Slurm (job scheduling), MPI, or NCCL (collective communications)., • Experience testing RDMA/InfiniBand networks., • Familiarity with NVIDIA GPU architecture and the CUDA ecosystem., • Experience writing Reproducers for kernel bugs in C. What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Senior Network Engineer (NYC) Compensation: $150k - $210k (DOE) + Full Benefits Location: New York City (75% Remote | 25% client onsite) Enterprise IT Solutions Provider | Professional Services | Cisco R&S Focus We are a nationally recognized IT solutions provider delivering enterprise networking, security, and cloud infrastructure solutions to mid-market and enterprise clients. Our engineering teams work directly with enterprise and mid-market organizations to deliver complex infrastructure initiatives from design validation through implementation. We maintain strong strategic partnerships with Cisco, Palo Alto, Microsoft, AWS, and other leading technology manufacturers, supporting large-scale production environments across the country. Our New York team supports complex post-sales engagements across Cisco-focused environments, partnering closely with enterprise customers on project-based implementations and infrastructure initiatives. We are seeking a Senior Network Engineer to join our NYC-based professional services team. Role Overview This is a client-facing, post-sales engineering position focused primarily on project delivery and implementation across Cisco routing and switching environments. The role is approximately 75% remote and 25% onsite with clients in the NYC metro area (generally 2 days onsite during active project phases). You will operate as a senior technical resource supporting: • Enterprise network refresh initiatives, • Migration and deployment projects, • Architecture validation and implementation, • Advanced troubleshooting during deployment and post-cutover phases Key Responsibilities • Lead Cisco LAN/WAN implementation projects across enterprise environments, • Execute routing and switching deployments per defined architecture, • Support network migrations, upgrades, and infrastructure refresh initiatives, • Provide advanced troubleshooting during project execution and post-deployment, • Interface directly with client engineering teams and infrastructure leadership, • Maintain technical documentation and implementation standards Qualifications • 6+ years of enterprise network engineering experience, • Strong hands-on experience with Cisco routing & switching technologies, • Experience within a VAR, consulting, or professional services delivery model preferred, • Comfortable working onsite with enterprise clients when required, • CCNP preferred | CCIE highly regarded Compensation & Benefits • Base salary range of $150,000 – $210,000, depending on experience, • 75% remote flexibility, • Generous PTO and paid holidays, • Medical, dental, and vision coverage, • Life and disability insurance, • 401(k) with company match, • Ongoing certification and professional development support Senior-level Network Engineers with enterprise deployment experience are encouraged to apply. We are actively scheduling interviews and moving quickly with qualified candidates. For a confidential discussion, apply directly or reach out to:

Job Description Garner's mission is to transform the healthcare economy, delivering high-quality and affordable care for all. We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures. Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale. About the role: We are seeking an exceptional Data Engineer II to join our Engineering team, with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack. The ideal candidate should have experience with a modern data stack and implementations of data pipelines using Python and SQL in AWS. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Build, optimize, and maintain data pipelines that power our business, • Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research, • Design, build, and evangelize a federated data validation framework to be used to monitor potential data inconsistencies, • 2+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality)., • Expertise in SQL and Python, • Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets, • Experience working with orchestration tools (especially Airflow), databases (especially PostgreSQL), data warehouses (especially Snowflake), • Familiarity with SQL tuning, medallion/event-driven architectures, and telemetry., • Familiarity with healthcare or insurance, • Familiarity with data security and HIPPA compliance Postgres/SQL, Snowflake, Python, AWS, Terraform, Argo, Airflow, Spark, DuckDB, Iceberg, Airbyte, DBT, ElasticSearch (aka OpenSearch), OpenTelemetry, Looker This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation Transparency: The target salary range for this position is $125,000-$165,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at .

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview:Thea Energy is seeking for an experienced, organized, and motivated systems engineer. This position will work on an interdisciplinary team to integrate numerous first-of-a-kind technologies while developing scalable processes and procedures. The Systems Engineer will be responsible for the managing requirements, integration, and interfaces for one of the most consequential and cutting-edge technologies of our generation - fusion energy. The Thea Energy team is comprised of self-motivated, innovative, and collaborative individuals with an excitement for solving complex problems. This is a challenging position that requires a high degree of autonomy, and the ideal candidate must be able to move quickly. A proven track record of leading systems engineering, excellent communication skills, and a passion for new technologies and innovation is required.Key Responsibility Areas: • Develop system and interfacing requirements, protocols, and procedures, • Work closely with engineering and physics teams designing various systems to provide engineering coordination and support, • Ensure the efficient and systematic conversion of functional requirements into a scalable system architecture and execution strategy, • Assist in the management of technical, schedule, cost, and performance analysis for various development programs, • Develop and enact protocols to inform clear and efficient decision making processes, • Manage updates and changes to systems and interfaces, and monitor impacts to program schedule, cost, and performance, • Manage system configuration control, • Manage the product breakdown structure, • Coordinate with suppliers, vendors, and internal manufacturing engineering teams, • Coordinate design reviews and program management functions, • Institute the processes for, and help run HAZOPS and FMECA programs, • Implement an effective design integration program, • Develop and manage effective processes for making and tracking key decisions, • Develop and implement verification and validation processes, • Implement system design lifecycle management processes Ideal Experience & Skillsets:, • Bachelor's degree in a relevant engineering field, • 5+ years of experience in systems engineering, • Proven experience integrating large industrial and /or first-of-a-kind R&D projects (e.g. power plants, manufacturing facilities, particle accelerators, etc.), • Experience across mechanical, electrical, and fluid systems, • Experience with cryogenic, heating, fluid, vacuum, power electronics, and control systems is preferred but not mandatory, • Familiarity with the processes needed to build, test, troubleshoot, and scale complex mechanical and electrical systems, • Strong communication, collaboration, and interpersonal skills, • Ability to innovate, execute, and flourish in a fast-paced environment, • Exceptional work ethic, • Prioritization of safety above all else, • Ability to wear many different hats, • Team player who is excited to help others, • Ability to occasionally lift objects up to 50 lbs. Company Benefits:, • Salary range $85,000-$150,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options

Job DescriptionCareer Renew is recruiting for one of its clients a Reinforced Learning Engineer - Crypto - this is a fully onsite role in NYC. Salary range: 600-800K USD yearly plus benefits. Job description: * Own and ship an RL-driven trading agent using real capital to increase trading volume and user participation in a memecoin ecosystem. * Design reward functions and policies aligned with product goals while enforcing strict downside risk constraints. * Build evaluation and validation frameworks (simulation, offline analysis) to minimize reliance on live sequential testing. * Safely transition an existing heuristic-based production system toward learning-based approaches. * Take end-to-end ownership and technical leadership as the sole RL expert, from data and modeling through deployment, monitoring, and safeguards. Requirements: * Has already put an autonomous learning system into production that directly controlled capital, pricing, traffic, or resources and can explain what broke and how they fixed it. * Has personally designed and enforced hard risk limits (capital caps, loss bounds, circuit breakers) in a live system, not just talked about “risk-aware objectives.” * Has built a policy evaluation loop from scratch (simulators, replay, counterfactuals, shadow deployments) before trusting live rollout. * Can make and defend uncomfortable tradeoffs (e.g. heuristic > RL, bandit > deep RL) based on empirical results instead of ideology * Has operated as the single owner of a complex ML system in a small team, with no safety net of research orgs, infra teams, or “ML platforms.” Compensation & Package Base Salary + Equity/Tokens

Job Description Garner's mission is to transform the healthcare economy, delivering high-quality and affordable care for all. We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures. Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale. About the role: We are seeking an exceptional Senior Data Engineer with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack. This role will report to our VP, Engineering. The ideal candidate should have experience with a modern data stack and implementations of data pipelines using Python and SQL in AWS. Where you will work: This role is open to remote candidates across the U.S. For candidates based in New York City, the position follows a hybrid schedule with in-office work required Tuesday, Wednesday, and Thursday each week. What you will do: • Build, optimize, and maintain data pipelines that power our business, • Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research, • Design, build, and evangelize a federated data validation frameworks to be used to monitor potential data inconsistencies, • Protect our users' privacy and security through best practicesThe ideal candidate has:, • 4+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality), • Expertise in SQL, job experience, and demonstrated strength with Python, • Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets, • Experience working with orchestration tools (especially Airflow), databases (especially PostgreSQL), datalakes (especially Iceberg), data warehouses (especially Snowflake), • Expertise with SQL tuning, Spark development, medallion and event-driven architectures., • Familiarity with healthcare or insurance, • Familiarity with data security and HIPAA compliance, • A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedbackTechnologies we use:

Job DescriptionAbout Clarion The hardest part of healthcare shouldn’t be getting an appointment. Today, medical staff drown in backlogs of calls, faxes, and scheduling requests. Patients struggle to get the right care at the right time, staff members burn out, and clinics lose billions in revenue. This isn’t a failure of care - it’s a failure of capacity. Clarion exists to solve this problem at scale. Our AI agents handle the patient journey from end-to-end; from scheduling and rescheduling appointments, to managing referrals and prescription refills. Our AI performs complex workflows with a human-like touch that patients love. We’ve raised $5.5M from Accel, Y Combinator, and Sequoia (Scout), along with founders from Ophelia, Medallion, and Counsel Health. We’re an in-person team based in New York City, moving quickly to ensure every patient gets the care they need. Why Join Us? * Solving a real-world challenge: We’re addressing a critical problem that affects millions of patients and providers daily. Our AI agents outperform human schedulers and restore the time needed to focus on patients. * Early-stage with strong market validation: We’ve seen 10x revenue growth in the last year alone. We handle millions of interactions for customers ranging from virtual care clinics to a $5B health insurance company. * Founding team: Our co-founders bring a deep understanding of the healthcare landscape. Our CEO is a Stanford/Harvard-trained physician and clinical ops leader (Two Chairs, Ophelia), and our CTO is an ex-Amazon Alexa engineer who led AI/ML teams at Salesforce. * Outsized early impact: You'll be joining at an early stage where your contributions shape our company's trajectory, processes, and culture, with significant influence on how we grow. * In-person collaboration advantage: We've built in-person since day one and maintain this as a strategic advantage. We move faster, build stronger bonds, and create a cohesive culture. What You'll Be Working On * Own the candidate journey from discovery to close, eliminating administrative friction and ensuring a world-class experience for every hire. * Create automated workflows that scale our reach while maintaining the level of personal touch required to attract talent. * Build a system to identify and engage candidates by treating the recruiting funnel with the same level of rigor as a sales or product pipeline. * Establish the narrative that attracts exceptional people to Clarion and ensures we are the first choice for the most ambitious candidates. Requirements * 2-4+ years in talent acquisition in high-growth SaaS or early-stage startups. You have a track record of identifying and landing high-caliber technical talent. * A clear, compelling communicator who can translate Clarion’s mission into a narrative that resonates with the most ambitious candidates. * Comfortable in fast-paced, unstructured environments. You are proactive about identifying process bottlenecks and solving them before they scale. * Ability to manage complex hiring projects from start to finish, coordinating across multiple teams with high precision. * Excited to work in-person at our NYC office. You are a good fit if * You believe the best companies are won or lost on talent density and speed of hiring. * You view hiring as a discipline that requires persistent optimization and modern tooling. * You’re highly organized and can balance multiple roles while maintaining a clear view of company priorities. * You move faster than the competition and understand that speed is a competitive advantage in talent acquisition. * You thrive in a fast-paced environment and want to shape the foundational culture of a company from day one. What we offer * Direct mentorship: Work closely with our founding team and experienced leaders who will invest in your professional development * Meaningful equity: Early employee stock options with significant ownership potential * Comprehensive benefits: 100% covered healthcare, flexible time off, commuter benefits, weekly team lunches * Team culture: Quarterly retreats and monthly team events that build genuine connections in our close-knit NYC team * Impact at scale: Work that builds the infrastructure to help millions of patients access care Interview Process At each stage, we decide within 24hrs and update you shortly after: * First Chat (15min) [Virtual]: A casual conversation about the role and your experience to see if there's a good initial fit. * Experience Deep Dive (45min) [Virtual]: We'll explore your recruiting experience, how you've built pipelines for hard-to-fill roles, and your approach to creating hiring processes that scale. * Team Day (Half-day) [In-Person]: Visit our New York office to meet our team. You'll work through a recruiting challenge, showing your strategic thinking and operational rigor. You'll also get a sense of our company culture and working environment. If you're ready to build the talent engine that will transform healthcare communication, we’d love to hear from you. Compensation Range: $100K - $150K