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• Job Type: Officer of Administration, • Regular/Temporary: Regular, • Hours Per Week: 35 The Lamont-Doherty Earth Observatory (LDEO) is seeking anIntermediate Linux Systems Engineerfor a full-time career opportunity. Reporting to the Director of Research Computing and Campus Infrastructure, the Intermediate Linux Systems Engineer will manage LDEO's portfolio of Research Computing systems-designing and implementing new solutions as needs arise, while providing ongoing maintenance and operational support. This role is integral to architecting and developing solutions for LDEO's hybrid computing infrastructure, supporting both on-premises and cloud environments. The incumbent will work within the LDEO Information Technology group, supporting research computing and networking across the Palisades campus and beyond. Responsibilities • System Deployment & Administration: Develop and execute system deployment plans tailored to research needs and our core services, aligning with institutional policies., • Linux System Administration: Provide administration and support for Linux-based systems across both cloud-hosted and on-premises virtualized environments., • Hardware & Maintenance: Administer and maintain server hardware, including rackmount servers, storage arrays, and network equipment., • Software Testing & Upgrades: Test new software versions, participate in upgrades, and create documentation such as flowcharts and diagrams., • Operational Support: Perform daily user support, system operations, upgrades, and institutional audits., • Problem Resolution: Ensure timely resolution of all server and client computing/application issues., • Knowledge Development: Develop, maintain, and share knowledge of best practices for troubleshooting recurring issues., • Monitoring & Reporting: Create automated reports, respond to hardware and software alerts, and implement new monitoring processes as needed., • Documentation & Feedback: Provide ongoing documentation of configuration and installation processes, and report resource or knowledge gaps as needed., • Bachelor's degree in Computer Science or related field is required., • Experience: Minimum of 3 years of related professional experience in Linux system administration., • Technical Expertise: Experience installing, configuring, and maintaining Unix/Linux systems on bare-metal, virtualized environments, or public cloud providers., • Data Lifecycle Management processes., • Cloud service providers, particularly Amazon Web Services (AWS)., • UNIX/Linux (RHEL) systems administration., • Backup systems for physical and virtual hardware (e.g., Avamar, Veeam)., • Monitoring tools (e.g., Nagios) NAS/SAN hardware and software., • Ability to prioritize and manage multiple tasks under short deadlines., • Ability to work independently and collaboratively., • Strong attention to detail, with the ability to align IT goals with institutional objectives., • Excellent analytical, oral and written communication, and interpersonal skills., • Experience using ticketing systems (e.g., Osticket, Jira, Bugzilla, ServiceNow)., • Ability to exercise sound judgment, discretion, and tact in a professional setting. Columbia University is committed to the hiring of qualified local residents.

Lead Machine Learning Engineer (Gen AI, Python, Go, AWS) As a Capital One Machine Learning Engineer (MLE) on the GenAI Workflows Serving team, you'll be part of an Agile team dedicated to designing, building, and productionizing Generative AI applications and Agentic Workflow systems at massive scale. You'll participate in the detailed technical design, development, and implementation of complex machine learning applications leveraging cloud-native platforms. You'll focus on building robust ML serving architecture, developing high-performance application code, and ensuring the high availability, security, and low latency of our Generative AI solutions. You will collaborate closely with multiple other AI/ML teams to drive innovation and continuously 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 deliver GenAI models and components that solve complex business problems, while working in collaboration with the Product and Data Science teams. Design and implement cloud-native ML Serving Platforms leveraging technologies like Docker, Kubernetes, KNative, and KServe to ensure optimized and scalable deployment of models. Solve complex scaling and high-availability problems by writing and testing performant application code in Python and Go-lang, developing and validating ML models, and automating tests and deployment. Implement advanced MLOps and GitOps practices for continuous integration and continuous deployment (CI/CD) using tools like ArgoCD to manage the entire lifecycle of models and applications. Leverage service mesh architectures like Istio to manage traffic, enhance security, and ensure resilience for high-volume serving endpoints. Retrain, maintain, and monitor models in production. Construct optimized, scalable data pipelines to feed ML models. 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, Go, Scala or Java 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, Go or Java At least 2 years of experience building, scaling, and optimizing ML systems Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer San Francisco, CA: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . 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).

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. 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 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).

CTG is seeking a Senior Cloud Desktop Engineer to support the global migration from legacy VDI to modern cloud desktop environments.Manhattan, NY (onsite 3 days/week).Design, implement, and optimize cloud desktop solutions (Azure Virtual Desktop, Citrix, or similar).Collaborate with global teams on

Senior Lead AI Engineer (Gen AI Platform Services) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . 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 AI Engineer (AI Foundations, LLM Core and Agentic AI) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . 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).

Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . 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).

Senior Lead AI Engineer (FM Hosting, LLM Inference) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . 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 AI Engineer (Gen AI Platform, Agentic AI & LLM Infrastructure & Orchestration) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . 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 AI Engineer (GenAI Platform Services) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . 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).

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).

Job DescriptionTired of the inefficiencies and complexities of traditional finance? We are too. At Superstate, we create investment products that benefit from the speed, programmability, and compliance advantages of blockchain tokenization. As an engineer at Superstate, you'll play a pivotal role in shaping the future of tokenized assets. You'll work on blockchain-integrated systems that allow investors to self-custody financial assets, and design the systems, APIs, and infrastructure to make finance itself more efficient.What you'll do • Build back-end web services that interact with blockchains and traditional finance, • Build out APIs and integrations with our partner custodians, • Design and build out an internal Transfer Agent, • Lead, build and test our infrastructure as code efforts, • Enthusiastically collaborate with a small team, owning and planning projects for long-term impact, • Teach and mentor other engineersWhat you'll bring to the team, • Bachelor’s degree in Computer Science or a related technical field, • 9+ years of professional engineering experience, • Expertise in building fault tolerant, high performance, and highly available cloud infrastructure in AWS, • Deep Rust experience, • Familiarity building web-services for highly-trafficked websites, • Familiarity with SQL, query planning and optimization, • Familiarity with the current DeFi ecosystem, • Exceptional judgment, strategic thinking and creative problem-solving skills with a strong analytical mindsetBonus points if you have experience with these technologies, • Pulumi or Terraform, • AWS - Fargate, RDS, Cloudfront, EC2, ECS, Nitro Enclave, • Cloudflare, • Postgres, • Docker, • Typescript, • Solana Programs, • Layer 2 blockchains and cross-chain bridges, • Solidity or Yul, • FoundryBenefits & Perks, • Competitive compensation, • Equity ownership, • Flexible vacation policy, • Paid parental leave

Job DescriptionGlassbox is looking for a DevOps Engineer to join our global team.We are Glassbox, and our mission is to reveal the insights that empower organizations to deliver exceptional digital customer experiences. We are growing and have been recognized by G2 as one of 2024's Top 50 Software Companies in the world. Our customers are the best of the best, including six of the ten largest global banks, the world's largest hotel chain, the largest healthcare provider, and the largest telecommunications company in the U.S.If you are a dynamic, successful, experienced metrics-driven leader, Glassbox might be a great fit.Will you join us on this journey?What You Will do?You will work with cutting-edge technologies and tackle a wide range of challenges in building a scalable, globally distributed infrastructure. In this role, you will: • Work with a diverse set of technologies, simplifying complex solutions., • Collaborate closely with multiple teams across the organization., • Be part of a team responsible for designing, optimizing, and maintaining a high-scale production environment that handles massive traffic loads with high complexity., • Architect, deploy, and maintain robust and scalable cloud infrastructures on AWS and Azure., • Develop and optimize CI/CD pipelines to support automated deployment, testing, and scaling across multiple environments., • Implement and manage monitoring, logging, and alerting solutions across cloud platforms to ensure application health and performance., • Provide advanced troubleshooting and resolution for infrastructure issues in production, development, and testing environments.What You Will Need?, • 4+ years of experience in a DevOps or related engineering role, with a strong background in AWS and cloud-native environments. Proven ability to design, manage, and maintain high-scale production systems, ensuring reliability, performance, and scalability., • Deep expertise in cloud technologies and application security, with a strong focus on best practices for securing resilient, scalable, and cost-efficient architectures., • Extensive experience with containerization and orchestration technologies, including Docker, Kubernetes, and Helm., • Proficiency in automation tools such as Terraform, and hands-on experience with CI/CD pipelines using tools like Jenkins., • Strong knowledge of monitoring and logging tools (e.g., Prometheus, Grafana, Loki) to ensure system health, optimize performance, and proactively detect issues., • Proficiency in scripting languages (e.g., Node.js, Bash) to automate workflows and enhance operational efficiency., • Excellent communication, collaboration, and documentation skills, with a proactive approach to problem-solving., • Passionate about learning new technologies and tackling complex challenges in a fast-paced environment., • Hands-on experience managing big data infrastructure, optimizing performance and scalability for data-intensive applications.An Advantage, • Proficiency in database technologies, including Cassandra, Elasticsearch, ClickHouse, and PostgreSQL HA., • Expertise in Kafka cluster administration, including cross-region replication and high-availability configurations., • Experience with MLOps workflows and infrastructure, including model deployment, monitoring, and scaling in production environments.

Job DescriptionPosition Summary: The ETL Engineer is responsible for designing, developing, and maintaining data pipelines that extract, transform, and load data into analytics platforms, including SQL Server and ClickHouse for real-time and high-performance querying. This role ensures data integrity, scalability, and performance for BI, reporting, and advanced analytics. Job Responsibilities: • ETL Pipeline Development, • Design and implement ETL workflows using SQL Server Integration Services, Azure Data Factory, Databricks, and ClickHouse., • Develop transformations for structured and semi-structured data; optimize for speed and reliability., • ClickHouse Integration, • Build and maintain ingestion pipelines for ClickHouse using batch and streaming methods., • Optimize ClickHouse schemas, partitions, and materialized views for query performance., • Data Integration, • Connect multiple sources (SQL Server, APIs, cloud storage, Kafka/Event Hubs) into centralized data platforms., • Performance & Optimization, • Monitor SSIS ETL jobs and SQL Server and ClickHouse queries; tune for low latency and high throughput., • Implement compression, sharding, and replication strategies in ClickHouse., • Data Quality & Governance, • Apply validation checks, error handling, and lineage tracking., • Ensure compliance with security and governance standards., • Collaboration, • Work with data engineers, analysts, and BI teams to deliver reliable datasets., • Support real-time analytics and dashboards powered by PowerBI and ClickHouse., • Documentation, • Maintain clear documentation for ETL processes, SQL Server and ClickHouse schemas, and operational playbooks.Required Skills:, • Strong experience with ETL tools (Azure Data Factory, SSIS, Databricks)., • Proficiency in SQL and relational database concepts., • Familiarity with ClickHouse (schema design, ingestion, optimization)., • Familiarity with cloud platforms (Azure preferred)., • Programming skills in Python or Scala for data processing.Preferred Qualifications, • Experience with streaming data (Kafka, Azure Event Hubs)., • Familiarity with big data frameworks., • Understanding of DevOps practices for data pipelines., • Exposure to BI tools (Power BI, Tableau) integrated with ClickHouse.Education & Experience, • Bachelor’s degree in Computer Science, Data Engineering, or related field., • 3+ years of experience in ETL development and data integration.This is an On-Premises position. Monday through Thursday (9-5) and remote on Fridays only (No exceptions). Powered by JazzHR YEImEwwyhE

Job Description Capstone Integrated Solutions is a comprehensive services provider. Our team consists of outstanding professionals, highly experienced in designing, building, and supporting retail software. We see ourselves as a build-as-a-service provider who follows a repeatable business pattern that can be applied to a variety of platforms and verticals. Having a culture built on outcomes and delivery at the core of the business, Capstone is providing its customers with a complete suite of services for software development, system analysis, integration, implementation, and support, as well as the option to engage a single team to perform all the services they require. Who You Are and What You'll Do: Capstone Integrated Solutions is looking for a highly motivated and talented Cloud Backend Engineer specializing in AWS development to join our growing team. This is an exciting opportunity for a driven passionate about creating cutting-edge solutions for the real estate industry. Responsibilities: • Collaborate with cross-functional teams to design, develop, and maintain software solutions., • Work on AWS backend development tasks., • Assist in the integration of the developed solutions with existing systems and databases., • Bachelor's degree in computer science or a related field., • Solid understanding of AWS cloud development fundamentals., • Experience with AWS Lambda, API Gateway, Step Functions, and Amplify., • Proficiency in Node.js or Python., • Experience with databases: RDS, Oracle, PostgreSQL, and DynamoDB., • Familiarity with other AWS services as required for development and integration tasks., • Eagerness to learn and adapt to new technologies and frameworks., • Strong problem-solving and analytical skills., • Basic understanding of front-end technologies such as ReactJS., • Experience with version control systems (e.g., Git). "Our Culture": At Capstone, the central principles that we all adhere to, and the glue that holds us together, are our keystones. Our four keystones are: • "A Customer Obsessed, Delivery Focused, Culture", • We're driven to exceed our customers' expectations by listening, leading, solving problems, and delivering what we promise, • We aim to be the most dependable and trusted partner serving our customers. TRUST = CONSISTENCY x TIME, • "A Culture of Learning and Sharing", • We value "Lifetime Learners"; those who are hungry, competitive, curious, and self-motivated in their pursuit of knowledge., • Personal and professional growth depends on teamwork and continuous learning. By sharing knowledge, skills, ideas, and effort, we benefit our customers, ourselves, and our communities., • We recognize that the thoughts, feelings, and backgrounds of others are as important as our own. Everyone has something to learn and everyone has something they can teach., • Knowledge and ability are valued. Sharing knowledge and helping others learn new capabilities is valued exponentially., • "A Culture of Growth and Scalability", • Growth comes from not establishing barriers in your role. "Cross functional skill sets are valued and help us deliver to our customers in a truly agile fashion. It comes with understanding that when asked to do something new, you will need support, have questions, and make some mistakes along the way., • The most elegant solution is a simple solution. Simple doesn't mean easy. It's often more difficult to break a complex problem down into simple, scalable terms. We don't appreciate, or value, over architected solutions or superfluous coding., • Time is one of our most precious commodities. Scalability implies being respectful of this and passionate about making the most efficient use of each and every one of our team members time., • "All Work is Strategic", • No matter how small a project or assignment appears, every single engagement is an opportunity for us to prove ourselves, build trust, and develop relationships that last and grow, • Every task, interaction, and commitment matters Job Type: Full-time Benefits: • Competitive salary based on experience, • Dental insurance, • Flexible spending account, • Health insurance, • Life insurance, • Paid time off, • Vision insurance, • Work Location: Remote Capstone Integrated Solutions is an equal opportunity employer. We embrace and celebrate diversity and are committed to creating an inclusive and safe environment for all employees. Experience comes in many forms, and we're dedicated to adding new perspectives to the team. We encourage you to apply even if your experience doesn't perfectly align with what we have listed. We look forward to hearing from you. No Agencies Please!

Job DescriptionPosition Summary The System Engineer is responsible for the day-to-day operation and maintenance of all servers, storage and infrastructure systems that are located on premises and in the cloud. The Systems Engineer carries out responsibilities in some or all the following technical areas: MS Azure, Storage Area Network support, VMware support, Server maintenance, System upgrades and procurement, Infrastructure design and layout, Disaster Recovery design and implementation, OS installation, maintenance and patching, management of system tools and applications, Active Directory services. We are looking for someone with very strong hands on experience (5+ years) in the following: • MS Azure Architecture, Conditional Access, Identify protection, Entra ID, MS Intune, Azure AD, Cloud, VNets, PowerShell/Azure CLI, • Strong knowledge of sizing, configuring, administering, and troubleshooting Storage Area Network devices (HPE Alletra, Nimble or similar storage system). SAN - NAS connectivity, SMB3, iSCSI, multipath I/O, • Strong knowledge of Cisco UCS (unified Computing System) or any other computing system., • Strong knowledge of building, administering, and troubleshooting VMware environments from scratch. VMware vSphere/vCenter, VM templates, storage policies, • Windows Administration Active Directory domain/forest design, sites and services, trusts, PowerShell Scripting, DNS, Group Policy’s, Auditing, • Strong knowledge of SFTP Globalscape Enhanced File Transfer (EFT), • File Services – DFS, FSRM, SMB tuning, • Backups Appliance and Cloud Storage, • O365 – MS Exchange Server, • High availability, failover clustering, Hyper-V clustersExperience in the following areas is a plus:, • HITRUST / HIPAA, • Working knowledge of Mimecast, CrowdStrike, Zscaler or similar experience using email and web proxies, anti-virus, encryption, DLP, etc., • Systems / Application monitoring (SolarWinds, WSUS, Netwrix or equivalent systems), • VOIP, • Certification is a plusQualifications:, • Bachelor of Science in Computer Science or equivalent work experience, • Ability to perform under stress., • Collaborative \ Team player, • Initiative, • Reliability, • Written and verbal communication skills, • Strong attention to details, • Planning and organizational skills \ Attention to detail, • Time management, • Interpersonal skills kK5f3qU9PF

Job DescriptionAbout aion aion is the world’s first and only AI infrastructure research lab: a full-stack solution for building, fine-tuning, and deploying AI at scale. Whether you're a startup founder, enterprise team, or independent developer, aion gives you everything you need to go from concept to production in one seamless platform. By abstracting away infrastructure complexity, aion unifies compute orchestration, training workflows, data pipelines, model versioning, and deployment into a single, streamlined experience. No more fragmented stacks or cloud lock-in, just fast, scalable, and accessible AI infrastructure. Led by serial entrepreneurs Jayden Watson and Christian Angermayer, aion is well-funded by top-tier VCs and strategic partners. Headquartered in the U.K., we operate globally with core teams in London, SF, and NYC. About the Role As a Go-to-Market (GTM) Engineer, you will own the revenue-adjacent technical motion of aion’s GTM strategy. This is a sales- and partnerships-focused role that blends technical fluency with commercial execution. You will work directly with aion’s founders, sales leadership, and strategic partners to turn interest into pilots, pilots into customers, and customers into long-term platform adoption. This role is ideal for someone who enjoys being technical and commercial—equally comfortable in a whiteboard session with engineers or a deal discussion with decision-makers. What You’ll DoSales Enablement & Pipeline • Technical GTM: Support sales conversations with technical depth—demos, architectures, proof-of-concepts, • Customer pilots: Scope, launch, and support trials and pilot deployments with startups and enterprises, • Deal acceleration: Remove technical friction from the sales cycle Partnerships & Alliances • Strategic partners: Identify and build relationships with cloud providers, AI tooling companies, research labs, and ecosystem players, • Co-selling & co-marketing: Design joint GTM motions with partners (events, integrations, bundled offerings), • Founder-level selling: Work closely with leadership on high-impact strategic deals Market Feedback Loop • Customer insights: Feed real-world GTM and sales learnings back into Product and Engineering, • Use-case definition: Help define and refine ICPs, verticals, and core AI infrastructure use cases, • Clear, repeatable GTM motion for aion, • Strong partner ecosystem with active co-selling, • Faster sales cycles and higher conversion rates, • Meaningful revenue and pipeline contribution Requirements • 3–7+ years in GTM, Sales Engineering, Partnerships, or Solutions Engineering, • Strong technical foundation (cloud, AI infra, developer tools, or data platforms), • Comfortable discussing model training, inference, deployment, and infra tradeoffs, • Commercially sharp: understands how deals get done, • Builder mindset with high ownership and urgency, • Join the ground floor of a mission-driven AI startup revolutionizing compute infrastructure., • Work with a high-caliber, globally distributed team backed by major VCs., • Competitive compensation and benefits., • Fast-paced, flexible work environment with room for ownership and impact., • Hybrid model: 3 days in-office, 2 days remote with flexibility to work remotely for part of the year. In case you got any questions about the role please reach out to hiring manager on linkedin or X.

Job DescriptionJob SummaryWe are looking for a Senior Data Engineer with strong experience in real-time data streaming using Apache Kafka. The ideal candidate will design and build scalable data pipelines, streaming architectures, and data platforms to support real-time analytics and data-driven applications. Key Responsibilities· Design, develop, and maintain real-time data pipelines using Apache Kafka.· Build scalable stream processing solutions using Kafka Streams, Spark Streaming, or Flink.· Develop and optimize ETL/ELT pipelines for large-scale data processing.· Integrate streaming pipelines with data lakes, data warehouses, and analytics platforms.· Work with cross-functional teams including Data Scientists, Product Managers, and Analysts.· Ensure data reliability, scalability, and performance optimization.· Implement data governance, monitoring, and alerting for streaming systems.· Troubleshoot production issues and optimize streaming architecture. Required Skills· 8+ years of experience in Data Engineering.· Strong hands-on experience with Apache Kafka / Kafka Streaming.· Experience with Python, Java, or Scala.· Strong knowledge of real-time streaming architectures.· Experience with Spark, Flink, or Kafka Streams.· Strong SQL and data modeling skills.· Experience working with cloud platforms (AWS, GCP, or Azure).· Familiarity with data lake technologies (S3, Delta Lake, Snowflake, etc.). Preferred Skills· Experience with Databricks or Snowflake.· Experience with containerization (Docker, Kubernetes).· Knowledge of CI/CD pipelines and DevOps practices.· Experience with monitoring tools like Prometheus, Grafana, or Splunk. Nice to Have· Experience with event-driven architecture.· Experience building high-throughput, low-latency data systems.

Job DescriptionDescriptionThis position is onsite Mon-Friday 8AM to 5PM EST. Required to be available on Weekends & Holidays. Multiple Shifts Available Are you ready to bring your network expertise to the global stage of one of the biggest professional sports leagues in the US? Blue Mantis is seeking a highly skilled and versatile Technical Operations Manager to join our team. The ideal candidate will have a robust background as a Technical Engineer, with extensive server and network experience, as well as a proven track record in managing teams. This role requires a deep understanding of IT operations, particularly from an ITIL perspective, covering event, incident, change, and problem management. The Technical Operations Manager will oversee multiple teams and serve as an escalation point for issues, necessitating excellent communication skills to interact with customer managers, directors, and executives. Key Responsibilities • Manage and lead several technical teams, ensuring alignment with organizational goals and customer needs., • Serve as Incident Manager during critical outages., • Ability to work nights/weekends during the regular season schedule along with major holidays., • Ability to regularly work nontraditional hours to meet the needs of our globally distributed organization., • Ability to be on call and available during assigned shifts., • Demonstrates excellent people management and leadership skills, with the ability to effectively prioritize, execute, and delegate tasks in high-pressure environments., • Establish clear objectives and priorities for the team and consistently monitor progress to ensure goals are met., • Collaborate with departments & managers to develop effective solutions for IT problems, ensuring cross-functional teamwork and alignment to address challenges efficiently., • Act as the primary escalation point for customer issues, providing expert resolution and support., • Ability to be on call as needed for IT Ticket escalations/incidents., • Oversee ITIL processes including event, incident, change, and problem management to ensure efficient and effective operations., • Monitor and analyze key performance indicators (KPIs) for both internal teams and customer outcomes, implementing improvements as necessary., • Provide guidance, mentorship, and support to the IT team to ensure effective performance., • Provide training to staff on new technologies & troubleshooting procedures to ensure they are equipped with the necessary skills to support organizational IT operations effectively ., • Identify and implement process improvements related to ITIL event, incident, problem, and change management for customers., • Ensure continuous alignment of team activities with customer requirements and organizational objectives., • Identify opportunities for automation and increased efficiency by implementing best practices to enhance operational effectiveness., • Communicate effectively with customer managers, directors, and top-tier executives, demonstrating professionalism and clarity., • Continuously reprioritize responsibilities to adapt to changing team and customer needs., • Provide leadership and mentorship to team members, fostering a collaborative and high-performance work environment. Skills, Knowledge and ExpertiseQualifications * • Bachelor’s degree in computer science, Information Technology, or a related field., • Proven experience as a Technical Engineer with expertise in server and network management., • Extensive experience in managing technical teams with a strong track record of leadership., • Deep understanding of ITIL processes including event, incident, change, and problem management., • Exceptional communication skills with the ability to interact effectively with customer managers, directors, and executives., • Strong analytical skills with experience in monitoring and improving KPIs., • Proficiency in context switching between different technologies and customer requirements / emergencies based on priority., • Adept at managing multiple priorities and deadlines in a dynamic environment., • Passion for challenges and a proven ability to thrive in a fast-paced, demanding role.Preferred Skills, • Certifications in ITIL, PMP, or related fields., • Technical Certifications in networking, server or cloud., • Technical background in SQL Server., • Experience with advanced monitoring tools and systems., • Strong problem-solving abilities and a strategic mindset., • Experience working in a complex, multisite environment. BenefitsJoin our team and leverage your technical expertise and leadership skills to drive operational excellence and customer satisfaction. Apply today to be part of a dynamic and innovative environment where your contributions will make a significant impact. Agencies/3 Parties may not solicit to any employee of Blue Mantis. Any candidate information received from any Agency/3 Party will be considered a gift and property of Blue Mantis, unless the Agency/3 Party is an Authorized Vendor of Blue Mantis with an up-to-date Blue Mantis Contract in hand signed by Blue Mantis Talent Acquisition. No payment will be made to any Agency/3 Party who is not an Authorized Vendor, nor has specific approval in writing from Blue Mantis Talent Acquisition to engage in recruitment efforts for Blue Mantis. At this time we have no interest in onboarding any new staffing partners. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Job DescriptionCloud Systems Architect Employment Type: Full-Time, Mid-levelDepartment: Information Technology We are seeking a Cloud Systems Architect with experience with cloud infrastructure to engineer and support public, private and hybrid clouds. The ideal candidate will be proficient in a variety of cloud hosts including Amazon Web Services and Microsoft Azure at a minimum. 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:- The candidate will be knowledgeable of the most recent updates and developments and act as an advisor to our customer in reference to the cloud management strategies to be employed to take advantage of the benefits offered by cloud computing such as being able to function without any restrictions to the workload, initiate as many workstations as necessary per time period and pay only for what they actually use. - The candidate will also work with the IT Security team to manage and maintain cloud systems security of the data and network resources. - The candidate will also be responsible for engineering on customer premise applications and systems interconnected to cloud resources. - Designs and defines system architecture for new or existing complex computer systems. - Determines systems specifications, input/output processes, and working parameters for hardware/software compatibility and maintenance of system security. - Coordinates design of subsystems and integration of total system. Identifies, analyzes, and resolves program support deficiencies. - Develops and recommends corrective actions. - May provide technical guidance for database administrators and software developers. Qualifications:- Experience with and a complete understanding of the technology required for cloud computing.- Experience with the skills to migrate applications to the cloud.- Be able to build relationships between the customers and the team members.- The ability and the knowledge to integrate services and tools to any and all areas to be used such as networks and data processing.- The ability and the knowledge to implement security information and event management to keep the customer's assets safe.- Experience with meeting or exceeding the requirements of cloud provider service-level agreements Experience with AWS and Azure.- Knowledge of a multitude of programming languages including Python, PHP, Java, Node and Ruby on Rails.- Typically a Bachelor's Degree and 6 years work experience or equivalent experience. 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 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 As a Senior Engineer in Compute Services, you will be responsible for building fault-tolerant and reliable infrastructure to support both our internal processes and our customer platform. If you're passionate about GitOps, KubeOps, DevOps—really, all the ops—this role could be a great fit for you! • Design, develop, and maintain automated tooling to provision Kubernetes control planes on bare-metal, • Use Python, Golang, and Bash to create tooling and go operators, • Perform day 2 lifecycle tasks and maintenance on running clusters, • Identify gaps and implement fault-tolerant architectures, • Optimize reliability using the Grafana ecosystem, • Design automated testing to validate build quality and stability, • Proven experience provisioning Kubernetes using tools such as kubeadm, Cluster API, Kubeception, Kubespray, or similar, • Demonstrated ability debugging complex kubernetes cluster issues and carrying out upgrades, • Proficiency in Golang, Bash, and Python, • Advanced Linux OS troubleshooting skills, • Extensive experience with Ansible, • Advanced DevOps experience (e.g., GitLab CI, GitHub Actions), • Demonstrated ability to collaborate effectively on shared codebases, • Excellent documentation skills and high attention to detail, • Strong analytical and problem-solving abilities, • Bare-metal OS provisioning experience, • Kubernetes operator coding experience, • Advanced Linux networking expertise 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 this Role: We are seeking a highly experienced and strategic Principal Engineer to lead the architecture, development, and operations of Managed databases for AI-workloads. In this role, you will help shape the vision and direction on how customers and internal stakeholders store and access operational data for AI/ML workloads. Further, the role will define the strategy and lead vertical stack integration of data needs for AI inferencing and Agentic flows. You will have direct access to customers and work closely with engineering stakeholders across CoreWeave products. What You'll Do: • Define and drive CoreWeave's Managed databases technical roadmap and strategy., • Design and implement advanced database solutions applicable to AI workloads, while ensuring fault tolerance, high-scale and low-latency., • Build solutions that offer programmatic access to creating, scaling, and modifying databases., • Champion initiatives to improve reliability, durability, and self-healing capabilities of systems, and assume operational responsibilities., • Develop operational review practices to assess performance against targets and iterating on those targets., • Mentor and guide engineering teams on best practices in product engineering, fostering a customer-focused approach to systems design and technical excellence., • Mentor and guide engineering teams on best practices in product engineering, fostering a customer-focused approach to systems design and technical excellence.Who You Are:, • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field., • 10+ years of experience in distributed systems, with a focus on reliability and scale. Hands-on technical leader., • Prior experience with managed databases as a SaaS offering., • Proven experience building products to address customer needs., • Prior experience of building AI features in production is a plus., • Proficiency in Golang or Python., • Strong understanding of cloud computing infrastructure using Kubernetes, scalable architectures, and automation., • Excellent analytical and problem-solving skills, with the ability to synthesize problem statements from interactions with customers and design solutions given ambiguous requirements., • 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 $227,000 to $303,000. 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 Description T Field Service Engineer (Level II MSP Experience Required) Location: New York Metro Area Work Type: Field-Based (Travel Required) Step into the Future with Netsurit! Ranked #305 on Inc. 5000 Americas Fastest-Growing Private Companies and winner of the 2024 Global MSP501 Top 500 Managed Service Providers, Netsurit is not just solving IT problems, were shaping the future of AI-powered innovation. Help us design, implement, and scale intelligent solutions that empower businesses to automate processes, uncover insights, and accelerate growth. You will work with cutting-edge tools like Microsoft Copilot, Azure AI, and custom machine learning models to turn data into meaningful business outcomes. Show us your AI experience and ideas in your application we would love to see how you can help us drive what is next! What You will do • Deliver on-site and remote IT support for clients across the NJ/NY Metro area., • Implement and troubleshoot advanced technologies in networking, virtualization, and cloud environments., • Configure systems and network architecture for new and existing clients., • Install and support multi-vendor hardware: Servers, SAN, LAN, WAN, VPN., • Monitor Disaster Recovery and Business Continuity solutions., • Provide exceptional client service and document all work clearly and professionally., • Collaborate on AI-driven projects that enhance automation and efficiency. What You Bring • 5+ years of IT support experience (MSP background required)., • Strong technical skills in:, • Active Directory, Group Policy, • Microsoft Azure, Intune (Android/iOS), • VMWare / Hyper-V, LAN/WAN, WiFi, Firewalls, • Windows Server OS (install, troubleshoot, maintain), • Mac OS (must-have), • Bonus: Basic Linux knowledge and any AI/automation experience., • Excellent communication and documentation skills., • Valid drivers license and reliable vehicle for travel in NY Metro., • Industry certifications are a big plus! Why Netsurit? • Dream-Driven Culture: Your goals matter here., • Award-Winning Company: Ranked #305 on Inc. 5000 and Global MSP501 Winner., • Global Leader: 27 years of excellence serving 600+ businesses., • Career Growth: Mentorship, training, and advancement opportunities., • Competitive Perks:, • Excellent benefits package, • 401(k) with company match, • Travel reimbursement, • Paid holidays and PTO Artificial Intelligence Innovation: Join Netsurit at the forefront of AI transformation—where technology meets ambition. Help us design, implement, and scale intelligent solutions that empower our clients to automate processes, uncover insights, and accelerate growth. Leverage tools like Microsoft Copilot, Azure AI, and custom machine learning models to turn data into meaningful business outcomes. Be part of a team thats shaping the future of AI-powered innovation. Please share your experience and knowledge in AI as part of your application wed love to see how you can help us drive whats next. Note to Agencies: Principals only. No recruiters, no agencies, no unsolicited services. Company DescriptionAbout Netsurit: We are #305 on Inc 5000 America's Fastest-Growing Private Companies! We were also awarded the 2024 Winner for Global MSP501 in the Top 500 Managed Service Providers! With headquarters in New York, Netsurit is a global leader in IT solutions, providing comprehensive managed services, cybersecurity, AI capabilities, and strategic insights for organizations of all sizes. For 27 years, Netsurit has helped more than 600 businesses navigate the complexities of the modern workplace by ensuring critical applications and infrastructure are always on, secure, and resilient. A Note to Third Parties: Principals only. Recruiters, please don't contact this job poster. Please do NOT contact us with unsolicited services or offerAbout Netsurit: We are #305 on Inc 5000 America's Fastest-Growing Private Companies! We were also awarded the 2024 Winner for Global MSP501 in the Top 500 Managed Service Providers! \r\n\r\nWith headquarters in New York, Netsurit is a global leader in IT solutions, providing comprehensive managed services, cybersecurity, AI capabilities, and strategic insights for organizations of all sizes.\r\n\r\nFor 27 years, Netsurit has helped more than 600 businesses navigate the complexities of the modern workplace by ensuring critical applications and infrastructure are always on, secure, and resilient.\r\n\r\n A Note to Third Parties: Principals only. Recruiters, please don't contact this job poster. Please do NOT contact us with unsolicited services or offer

Job Description Healthcare quality is declining and soaring costs are crushing American families and businesses. At Garner, we've developed a revolutionary approach to evaluating doctor performance and a unique incentive model that's reshaping the healthcare economy to ensure everyone can afford high quality care. By providing organizations relief from surging healthcare costs, we've experienced rapid adoption in the market and have more than doubled our revenue annually over the last 5 years, becoming the fastest growing company in our space. To support our continued growth, we're expanding our team by over 50% each year, seeking exceptional talent to shape our unique, award winning culture (for example, USA Today Top Workplaces 2025) designed to cultivate teamwork, trust, autonomy, exceptional results, and individual growth that creates an inflection point in your career. About the role: We're looking for a Staff Site Reliability Engineer to architect, operate, and improve the platform our product runs on. This role will report to the Manager of Platform Engineering (DevOps/SRE). 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: • Architect, operate, improve and secure the platform the Garner Health app runs on, • Boost development velocity and productivity, • Build systems to a high engineering standard and hold others to the same high standard, • Research and advocate for improved techniques, process, and designs within the team, • Collaborate with teammates to deliver strategic platform initiatives, • Support the Garner platform in production, • Secure the Garner app in production according to regulatory and compliance requirements, • Partner with other stakeholders to ensure a highly-available and performant product for users, • Shape long-term platform strategy, influence cross-team engineering decisions, and mentor engineers across the orgWhat you will bring to the team:, • 10+ years experience delivering software solutions, • 10+ years hands on production work with cloud infrastructure, containers, monitoring, and alerting, • 8+ years working in a security-conscious environment, • Expertise and experience leading and/or delivering cloud-first/only projects, preferably AWS, • Expertise improving developer experience/efficiency with respect to change management, • Expertise with Terraform and Kubernetes, • Expertise with Go and Python, especially utilizing Kubernetes APIsTechnologies we use:

Job DescriptionCloud and Storage Engineer Employment Type: Full-Time, Experienced Department: Information technology CGS is seeking a Cloud and Storage Engineer to develop and implement full-scale Storage Area Network (SAN) architecture for a large EMC-based SAN infrastructure in support of a large federal agency. The ideal candidate will be able to excel in a fast-paced environment and successfully produce standards and implementation processes for storage configuration, optimization, replication, and storage security. 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:- Develops and implements full scale Storage Area Network (SAN) architecture for a large EMC-based SAN infrastructure in a multi-enterprise, complex, geographically dispersed solution; ranging from single servers to multi-tier, multi-platform solutions connected through fiber channel to multiple EMC Storage Arrays with petabytes of storage capacity. - The SAN architecture considers the following aspects relating to SAN: performance, capacity, replication, disaster recovery, backup disk storage, and backup & recovery.- Defines and sets a strategic direction for the SAN and backup environment. - Designs and implements customer storage requirements into an enterprise solution that will be developed, installed, configured, and deployed in the environment. - Provides overall storage and backup capacity planning, and utilization reporting. - Produces standards and implementation processes for storage configuration, optimization, replication, virtualization, storage security, and disaster recovery.- Troubleshoots complex SAN infrastructure issues and works with customers both internal and external to effectively resolve issues.- Reviews, plans, and participates in executing regularly scheduled maintenances and/or projects on the storage infrastructure. - Develops technical documentation, tiered storage and storage-as-a-service roadmaps, presentations, and cost models.- Responsible for managing, maintaining, and developing the SAN infrastructure as part of a team to ensure 24/7/365 uptime. - Architects and maintains private cloud environment. Professional experience with Gov Cloud (AWS, Azure, etc.) and hybrid cloud architectures desired. - Performs security related tasks which include, but are not limited to, documentation, vulnerability scan review, assessment support, patch management, and auditing as required. Qualifications:- Bachelor’s in computer science, business, or other relevant discipline.- Eight (8) years of relevant work experience may be substituted for degree requirement.- Must have significant, direct experience in Dell EMC products such as OneFile System (OneFS), MDS SAN switches, storage arrays (Unity, Isilon, VNS, and Data Domain), and RecoverPoint. 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 The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us. What You'll Do • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline, • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform., • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models., • BS/MS/PhD in Computer Science or a related field., • 5+ years of industry experience in software development., • Proficiency with bash/Python scripting in Linux environments, • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP), • Experience with web crawlers, large-scale data processing workflows is a plus, • Ability to handle multiple tasks and adapt to changing priorities., • A fast-growing environment where you can help shape the company and product., • An entrepreneurial-minded team that supports risk, intuition, and hustle., • A hands-off management approach so you can focus and do your best work., • An opportunity to make a big impact in a transformative industry., • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture., • Opportunity to work on a life-changing product that millions of people use., • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more. Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job Description This is a fantastic opportunity to join Luminance, the pioneer of Legal-Grade™ AI for enterprise. Backed by internationally renowned VCs and named in both the Forbes AI 50 list of ‘Most Promising Private AI Companies in the World’ and Inc. 5000’s ‘Fastest Growing Companies in America’, Luminance is disrupting the legal profession around the globe The Senior Customer Solutions Engineer role offers a unique opportunity to work across Sales, Product and Customer Success, accelerating our customers’ technical teams ability to get connected and unlock the value of Luminance. This role is dedicated to providing a market-leading technical experience for Enterprise customers, enabling them to integrate with our platform faster and with less effort. The ideal candidate will possess a blend of customer-focused skills and a solution mindset, helping customers understand how best to integrate the solutions we offer to accelerate their success. You will get hands-on with our platform and Workflow engine, implementing solutions that unlock seamless legal workflows across a customer’s technology estate. A Senior Customer Solutions Engineer will acquire in-depth knowledge of our AI platform and how it can be effectively integrated into various customer systems. They will work closely with prospective and existing customers to provide expert advice and support, ensuring a seamless and efficient integration process. Collaborating with Account Executives, Product Specialists and Customer Success Managers, the Customer Solutions Engineer will play a crucial role in converting prospects into satisfied, long-term customers. We offer a generous £2000 Learning budget to each employee. We are committed to your growth as we grow too. Responsibilities • Collaborate with Account Executives, Product Specialists and Customer Success Managers to deliver effortless technical experiences., • Act as a technical expert on Luminance’s platform, supporting the sales team in converting prospects into customers by highlighting integration benefits and our solutions for making integration seamless., • Understand individual use cases and integration requirements, advising customers on the best solutions to achieve success quickly and identifying opportunities to iterate on what we provide., • Get hands-on and build integrations for our customer base, ensuring we create seamless workflows across business platforms/applications such as Salesforce, ServiceNow and Slack., • Be the key point of contact for managing integration issues and challenges, • Develop reusable toolkits, APIs, SDKs, and enablement resources to enhance the developer experience to facilitate faster integration., • Create and maintain comprehensive customer-facing API documentation and other technical resources such as Reference Architectures to support developers effectively., • Work with Luminance Support and Technical Operations teams to coordinate and resolve any technical issues for customers., • Bachelor’s or Master’s Degree in Computer Science, Software Engineering, or a related technical field, with a 2:1 or above (UK) or GPA of 3.5 or above (US)., • At least 3-years at a SaaS vendor, preferably in the AI and/or Cybersecurity space, • Strong technical skills with experience in software development, system integration, and creating customer-facing developer resources such APIs, SDKs and documentation., • Experience of Full Stack Web development and Cloud Architecture, • Demonstrable Experience with JavaScript, NodeJS, Python or equivalent frameworks/languages, • Excellent interpersonal and communication skills, both verbal and written., • Articulate, charismatic, and confident in a customer-facing role, with the ability to present technical information clearly to individuals with varying degrees of knowledge., • Highly detail-oriented with a problem-solving attitude., • Ability to work in an innovative and fast-paced environment while delivering to deadlines., • Organized with excellent time management skills and the ability to prioritize effectively., • Prior experience in a customer-facing technical team, focussed on collaborating with developer/technical personas

Job Description We are looking for a passionate certified Data Engineer. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements. Primary skillset: Python/Pyspark & Azure, ADF, SQL, SQL Server, Data Warehousing, ETL Secondary: Databricks Nice to have: Informatica/ETL. Responsibilities • Design and develop ETL processes based on functional and non-functional requirements in python / pyspark within Azure platform, • Document component design for developers and for broader communication., • Understand and adopt an Agile (SCRUM like) software development mindset, • Follow established processes/standards, business technology architecture for development, release management and deployment process, • Execute and provide support during testing cycles and post-production deployment, engage in peer code reviews., • Elicit, analyze, interpret business and data requirements to develop complete business solutions, includes data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life cycle management, governance, lineage, metadata and reporting elements., • Apply automation and innovation on new and on-going data platforms for those development projects aligned to business or organizational strategies., • Design, develop and implement reporting platforms (e.g. modeling, ETL, BI framework) and complex ETL frameworks that meet business requirements., • Deliver business or enterprise data deliverables (that adhere to enterprise frameworks) for various platforms/servers/applications/systems. Requirements • Proven working experience as a data engineer, • Bachelor degree or equivalent in Computer Science, • Skilled in Python object-oriented programming, • Skilled in AWS Compute such as EC2, Lambda, Beanstalk, or ECS, • Skilled in AWS Database products such as Neptune, RDS, Redshift, or Aurora, • Skilled in AWS Management and Governance suite of products such as CloudTrail, CloudWatch, or Systems Manager, • Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms, • Skilled in SQL, • Skilled in Jenkins, • Skilled in JSON, • Skilled in discovering patterns in large data sets with the use of relevant software such as Oracle Data Mining or Informatica, • Skilled in cloud technologies and cloud computing, • Experience using software and computer systems' architectural principles to integrate enterprise computer applications such as xMatters, AWS Application Integration, or WebSphere, • Determining causes of operating errors and taking corrective action, • Experience in the process of analyzing data to identify trends or relationships to inform conclusions about the data, • Skilled in creating and managing databases with the use of relevant software such as MySQL, Hadoop, or MongoDB, • Programming including coding, debugging, and using relevant programming languages, • Communication including communicating in writing or verbally, copywriting, planning and distributing communication, etc., • Ability to frame ideas as systems and analyzing the inputs, outputs, and process, • Experience helping an organization to plan and manage change in effort to meet strategic objectives, • Adept at managing project plans, resources, and people to ensure successful project completion, • Working with people with different functional expertise respectfully and cooperatively to work toward a common goal

Job Description Senior Backend Engineer WHY THIS ROLE EXISTS Our client is building AI technology to make healthcare accessible and free for everyone. They are seeking backend engineers to develop scalable infrastructure that supports billions of AI driven consultations while ensuring medical safety and HIPAA compliance. This role is central to delivering reliable and secure systems at massive scale. WHAT YOU WILL BUILD Healthcare API Infrastructure Design and maintain high performance APIs using Python and cloud services to handle millions of requests each month Develop RESTful APIs that support AI healthcare tools and internal platform workflows Process sensitive patient data in real time while maintaining strict HIPAA compliance Coordinate internal APIs to support web platforms and AI decision making Integration and Data Systems Implement secure health record exchange with EHR systems, national health networks, and QHINs Integrate with telehealth providers, analytics platforms, and third-party healthcare APIs Process large volumes of sensitive data with encryption and compliance safeguards Build partner API integrations across multiple diverse healthcare systems Scale and Reliability Optimize databases for high-volume, complex healthcare queries Implement secure caching and session management using Redis Develop error handling, failover, and disaster recovery systems for mission critical services Enhance performance and reliability to support rapid user growth AI System Integration Coordinate backend workflows for AI tools and clinical decision making Develop Python-based deterministic systems alongside AI agents to ensure clinical accuracy Build APIs supporting model inference, data preprocessing, and result handling Implement validation layers and human escalation protocols for AI safety This role also includes work on healthcare compliance automation, advanced system monitoring, multi-region deployment, and foundational backend infrastructure for future AI healthcare capabilities. HOW THE CLIENT OPERATES Engineering led environment with minimal process overhead Flat structure with direct collaboration with company leadership End to end ownership from concept to production AI assisted development tools encouraged Fast moving team with strong judgment and accountability WHAT THE CLIENT IS LOOKING FOR Background Computer science degree or equivalent hands on experience Engineering, math, or related technical degrees welcomed Track record of operating at a high engineering standard Founder level ownership mindset or early stage startup experience preferred Ability to work independently while collaborating across teams Technical Experience Six or more years of backend engineering experience Strong experience with Python and frameworks such as FastAPI or Flask Cloud services experience and high volume API handling Proficiency with relational databases and performance optimization Experience with Redis, caching strategies, and distributed systems design System Design and Integration Third-party API integration and webhook management Microservices architecture and distributed system patterns Security best practices for sensitive data and API design CI/CD pipelines, containerization, and deployment automation Monitoring, logging, and observability tools NICE TO HAVE Experience in healthcare, fintech, or other regulated industries Knowledge of healthcare data standards such as HL7, FHIR, and HIPAA compliance Experience with high-scale real time data processing Familiarity with AI and ML system integration and model serving Event-driven architectures, message queues, and async processing Exposure to healthcare workflows, EHR systems, or telehealth platforms Seed or Series A startup experience Advanced degree in CS, engineering, or related field WHAT THE CLIENT OFFERS Competitive compensation and meaningful equity Opportunity to build infrastructure impacting millions of patients globally Direct collaboration with company leadership and healthcare experts Access to modern backend and AI technologies Benefits reimbursement

Job DescriptionAEM Senior Developer (AEM Engineer / Full-Stack – AEM Focus) Position Summary Blue Acorn iCi is seeking an experienced AEM Senior Developer to support large-scale enterprise implementations for a global financial services client. This role will focus on designing, developing, and maintaining Adobe Experience Manager (AEM) solutions, working closely with architects, UX teams, and backend engineers to deliver scalable, high-quality digital experiences. While this role includes front-end exposure, it is AEM-centric and requires strong hands-on experience across AEM components, services, integrations, and deployment environments, rather than a pure front-end or JavaScript-only profile.Location & On-Site Requirements • Hybrid role, • Office presence required once per week, • Remote-only candidates will not be consideredKey Responsibilities, • Design, develop, and maintain AEM components, templates, workflows, and services, • Participate in enterprise-level AEM implementations, enhancements, and upgrades, • Collaborate with AEM Architects, UX/UI designers, and backend developers to deliver end-to-end solutions, • Translate business and functional requirements into technical AEM solutions, • Develop reusable, scalable AEM components following best practices, • Configure and support AEM Author and Publish environments, • Work with dispatcher configurations, caching strategies, and performance optimization, • Integrate AEM with external systems and APIs (REST, JSON, SOAP), • Ensure solutions are compatible across devices and responsive layouts, • Participate in Agile / Scrum ceremonies, estimations, and sprint execution, • Support testing, deployment, and post-release stabilization activities, • Contribute to documentation and knowledge sharing across teamsRequired Skills & Experience, • 5+ years of hands-on AEM development experience, • Strong knowledge of AEM Sites, including:, • Components, • Templates, • Workflows, • OSGi services, • Sling Models, • Sightly / HTL, • Solid understanding of:, • JCR, • Apache Sling, • OSGi, • RESTful services, • Experience working with:, • Java / J2EE, • JavaScript, • HTML5 / CSS3, • Experience with AEM Author & Publish setups, • Familiarity with dispatcher configuration and caching strategies, • Experience working in enterprise, regulated environments preferred, • Strong Git experience and version control best practices, • Ability to collaborate across distributed and cross-functional teamsFront-End & Supporting Skills (Important but Not the Core Focus), • Working knowledge of modern front-end practices, • Experience with:, • JavaScript frameworks (React preferred, but not mandatory), • CSS preprocessors (SASS / LESS), • Responsive design principles, • Ability to work closely with FE specialists and UX teams rather than owning FE architecture end-to-endNice to Have, • Experience with:, • Adobe Analytics / tagging implementations, • Accessibility standards (ADA / WCAG), • CI/CD pipelines and DevOps practices, • Prior experience supporting financial services or large enterprise clients, • AEM certificationsEducation Blue Acorn iCi, a business unit of Infosys Nova Holdings, LLC, is a digital experience partner helping global brands design, build, and optimize the future of customer engagement. We blend data, design, and technology to deliver connected commerce and content solutions that drive measurable results. Specializing in the Adobe Experience Cloud, we provide end-to-end services across commerce, content, analytics, and customer insights. Backed by Infosys, we’re growing fast—and we’re looking for exceptional talent to grow with us. Our teams work at the intersection of strategy and execution—solving complex challenges for industry leaders in healthcare, retail, manufacturing, and beyond. From large-scale digital transformation programs to platform implementations and ongoing optimization, we bring deep expertise and a collaborative mindset to every engagement. Why Join Us? Blue Acorn iCi is a place for curious thinkers, smart builders, and digital pioneers. We’re more than a consultancy—we’re a team of innovators helping the world’s top brands shape the future of digital. Here, you won’t just contribute to a project—you’ll drive meaningful outcomes, collaborate with cross-disciplinary teams, and grow your skills in a high-impact, high-growth environment. We believe great work starts with great people, and we’re committed to creating a culture where talent thrives, ideas spark change, and results speak for themselves. If you’re ready to push boundaries, deliver real value, and help shape the next generation of digital experiences—this is your place. Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Blue Acorn iCi is unable to provide any immigration sponsorship or support, for this role at this time. Full Time, Non-Temporary Employees enjoy a competitive benefits package that includes medical, dental and vision insurance, life insurance, disability, paid time off, 401(k), and more! Blue Acorn iCi is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability. Please click to read EEO Law and Pay Transparency Act and IER Right to Work Document and Privacy Notice. Blue Acorn iCi will endeavor to make a reasonable accommodation to the known physical or mental limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete this form or to participate in an interview, please contact us at: . California applicants: Please click here for CCPA disclosures. Powered by JazzHR ZLep1eqyDi

Job DescriptionResponsibilities • Lead the Machine Learning and Applied Science team through strategic roadmaps to support business initiatives with high impact., • Guide the teams technically, engaging in architecture definition, implementation of best practices, and troubleshooting when needed., • Mange the team through all phases of machine learning development, from concept and design to deployment and monitoring., • Stay ahead of state-of-the-art research and industry trends in machine learning, computer vision, pricing algorithms, and related fields., • Collaborate with other Engineering and Product teams to evaluate requirements and use cases for new systems., • Invest in the career development of the team members, develop future leaders, and create a culture of cohesion and teamwork., • Participate in talent acquisition processes to ensure that we have world class engineers across all skill and experience levels., • Establish metrics to measure the productivity of the team, hold people accountable and identify people issues early.Requirements and Qualifications, • PhD or MS in Computer Science, Statistics, Operations Research or a relevant quantitative discipline. PhD is strongly preferred., • 5+ years of industry experience, with at least 1+ years of experience leading machine learning teams preferably in computer vision or pricing domain., • 2+ years of experience as a hands-on senior, staff, or principal engineer with demonstrated end-to-end ownership of a machine learning project before transitioning into managing teams., • Expert level knowledge in Python and SQL for model development and statistical analysis., • Proficiency in ML frameworks such as TensorFlow, PyTorch, or scikit-learn., • Proficiency in edge computing, distributed systems, and cloud platforms (e.g., AWS, GCP, Azure)., • Strong foundation in data structures, algorithms, and optimization techniques., • Experience with common program management (MS Project, Visio, etc.) and productivity (Confluence, Jira, etc.) tools., • Excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner to a variety of audiences., • Previous experience working inside innovative, high-growth environments is a plus., • Publications or patents in relevant fields such as machine learning, computer vision, or optimization is a plus.Company DescriptionStaffSource is committed to creating long-term partnerships where we can truly affect both clients’ and candidates’ lives for the better. Our success is rooted in matching talented professionals with environments that suit their goals, personalities, lifestyles, and skills. A perfect placement allows candidates to thrive in their new role and hiring managers to fill their openings with top talent that aligns with both the needs of their team and the company’s culture. Founded in 2003, StaffSource now has a 20+ year company history with business units operating within Information Technology, Accounting and Finance, Sales, Executive Search and more. Still headquartered in Knoxville, TN and lead by our founder John Sharpe, we are now serving clients and candidates all across the United States. We conduct national, regional, and localized talent searches based on the specific needs of each client and the unique goals of top talent everywhere.StaffSource is committed to creating long-term partnerships where we can truly affect both clients’ and candidates’ lives for the better. Our success is rooted in matching talented professionals with environments that suit their goals, personalities, lifestyles, and skills. A perfect placement allows candidates to thrive in their new role and hiring managers to fill their openings with top talent that aligns with both the needs of their team and the company’s culture.\r\n\r\n Founded in 2003, StaffSource now has a 20+ year company history with business units operating within Information Technology, Accounting and Finance, Sales, Executive Search and more. Still headquartered in Knoxville, TN and lead by our founder John Sharpe, we are now serving clients and candidates all across the United States. We conduct national, regional, and localized talent searches based on the specific needs of each client and the unique goals of top talent everywhere.

Job DescriptionWhat is Prizeout Prizeout is a fast-growing fintech transforming how people interact with their money by turning everyday transactions into rewarding, value-driven moments. We sit at the intersection of payments, rewards, and loyalty, empowering financial institutions to build deeper connections with their users. Our platform analyzes rich transactional data to deliver personalized insights and maximize value with every purchase. The company was founded in 2019 and is headquartered in NYC. Why Prizeout At Prizeout, we’re redefining how people engage with their money through smarter, data-driven rewards. We’re looking for curious, analytical builders who love turning complex, messy data into meaningful insights that drive loyalty and better financial outcomes. We keep the user at the center of every decision and we value humility, curiosity, and ownership. About This Role As a Data Engineer at Prizeout, you’ll own the data that powers CashBack+ and our credit union rewards ecosystem. Managing the end-to-end lifecycle of financial institution data, you’ll ensure every transaction is accurate, every action is recognized, and every reward is delivered on time. Working with core banking systems, card networks, and digital event data, you’ll turn complex, messy inputs into clean, reliable signals that drive real-time insights and loyalty programs. What You'll Do • Own and manage the full lifecycle of credit union core and card data pipelines, • Build and maintain scalable pipelines that clean, standardize, enrich, and classify transactional and behavioral data, • Translate raw transactions into meaningful insights using classification models (direct deposits, ACH events, MCC logic, etc.), • Develop and maintain automated validation and monitoring systems, • Create and manage high-quality dashboards and reporting tools for credit unions and internal teams, • Collaborate with Product, Data Science, Operations, and Integrations teams to refine data models and onboarding processes, • Continuously improve data models, infrastructure, and internal tools, • Stay current on fintech data architecture trends and emerging technologies to guide ongoing platform evolutionWhat We're Looking For, • 3+ years experience in software/data engineering, ideally in microservice or event-driven architecture, • Advanced SQL and database design skills, • Experience with cloud environments and distributed systems, • Experience with financial/transaction data pipelines or interest in learning deeply, • Familiarity with Snowflake or similar data warehouse tools (preferred), • Bias for action and comfort working with ambiguity, • Ability to thrive in a fast-moving, collaborative, mission-driven team, • Clear communicator who brings clarity, not complexity, • Scrappy, resilient, and energized by building things that work in the real world at scale

Job DescriptionAbout Us: OptionMetrics, headquartered in New York, NY. is a dynamic and innovative technology company, a trusted provider of financial information and research derived from the option markets. We are at the forefront of developing solutions that empower businesses. Our commitment to excellence, coupled with a collaborative, forward-thinking culture, has made us the preferred choice for top-tier talent. Our data and analytics models are utilized by over 350 investment banks, hedge funds, asset management firms, and academic institutions globally, solidifying our position as a leader in the industry. Are you ready to take your IT career to the next level? At OptionMetrics, we're on the lookout for a dynamic IT Operations Manager to be at the forefront of our cutting-edge projects. The Role: We are looking for a Head of IT Operations to lead and evolve our production environment with a strong sense of ownership, urgency, and accountability. This is a mission-critical leadership role and a hands-on position for someone who can operate at both strategic and deep technical levels, while building a culture of operational excellence. You will be responsible for the stability, scalability, and performance of our infrastructure and data pipelines. This includes real-time systems, batch processing, cloud infrastructure, and deployment pipelines that directly support mission-critical financial products. This role requires someone who leans in during incidents, drives root cause resolution, and builds systems that prevent recurrence, not just someone who manages from a distance. The IT Operations Manager will work hybrid in our New York City office. What You’ll Own: • End-to-end ownership of production operations, including cloud infrastructure, batch processing and deployment environments., • Reliability and uptime of critical systems, with a strong focus on SLAs, monitoring, and incident response., • Operational excellence across AWS environments, ensuring systems are scalable, secure, and cost-efficient., • Batch processing architecture, including optimization, scheduling, and failure recovery of daily and intraday jobs., • CI/CD pipelines and release processes, driving automation and reducing deployment risk., • Monitoring, alerting, and observability frameworks, ensuring rapid detection and resolution of issues., • Incident management and post-mortem culture, with a focus on accountability and continuous improvement., • Lead, mentor, and grow a team of IT Operations and DevOps engineers., • Set a high bar for technical rigor, ownership, and responsiveness., • Foster a culture of urgency, transparency, and accountability during both normal operations and incidents., • Partner closely with Engineering, Quants, and Data teams to ensure operational alignment with product and data delivery goals., • Deep hands-on experience with AWS including compute, networking, storage, IAM, and monitoring., • Proven track record of operational excellence across AWS environments, ensuring systems are scalable, secure, and cost-efficient., • AWS certifications such as Solutions Architect or DevOps Engineer are strongly preferred and indicative of the expected level of expertise., • Strong background in Linux-based systems and distributed environments., • Proven experience managing high-volume batch processing systems and schedulers., • Expertise in CI/CD pipelines and infrastructure as code such as Terraform., • Strong scripting skills in Python, shell, and SQL for automation and troubleshooting., • Solid understanding of networking, system performance, and security best practices., • You take ownership end-to-end and do not pass problems, you solve them., • You bring a calm, structured approach under pressure, especially during production incidents., • You are highly responsive and action-oriented, with a strong sense of urgency., • You balance technical depth with emotional intelligence, knowing how to lead teams through challenges. This is a mission-critical leadership role. The systems you own directly power the data our clients rely on to make investment decisions. There is no room for downtime, ambiguity, or slow response.If you are looking for a role where you can own production, drive impact, and lead from the front, this is it. What You Can Do: • Have a deep technical understanding of AWS., • Manage monitoring of systems and applications including Linux, Windows, and AWS services., • Manage deployment of applications across a multitude of servers and operating systems hosted on AWS., • Write and use shell and SQL scripting to automate processes., • Build/monitor/troubleshoot/fix all environments to ensure smooth and efficient operations., • Manage and optimize daily/nightly batch job schedules and operations., • Lead technical initiatives and provide guidance to IT Operations and Devops team members., • Work with CI/CD tools, tasks schedulers, and Amazon Web Services.Skills You'll Need:, • Expert level with Linux and Windows environments., • Expert leading operations teams and mentoring engineers., • Lead with best practices in IT infrastructure, networking and security., • Ability to troubleshoot database issues., • Strong understanding of batch processing systems and job scheduling., • Ability to communicate effectively with employees, vendors, and customers., • Experience working in a team-oriented, collaborative environment. What Will Make You Stand Out:, • AWS or any other cloud services experience/certification., • Experience with Teamcity or Terraform., • Experience with enterprise job scheduling tools and batch operation optimization. What We Offer:, • A collaborative environment where everyone's input makes a difference., • Paid time off: Vacation, Personal, Sick days, and Holidays., • Pre-tax commuter benefits (NJT, MTA, etc.) and 401k plan offered.

Job DescriptionSalary: $80,000 - $115,000 Annually New York Peace of Mind Technologies (POM), is currently searching for a qualified, enthusiastic, hard-working and driven Estimator that embodies POMs core values to join our Company. About You You are driven and understand how to manage priorities and coordinate effectively with team members to meet deadlines. You are comfortable with numbers, technically skilled and have the ability to stay focused and maintain great attention to detail while under pressure. About Us Peace of Mind Technologies, LLC (POM) is New Yorks premier systems integrator for security and surveillance technology. Specializing in high-tech systems, cloud-based software services and audio/video solutions for thousands of businesses, schools and properties in the greater New York Metropolitan area, POMs diverse client roster comprises a wide range of prestigious and well-known organizations. Founded in 2002, POM has handled more than 2,000 site installations, primarily focused on large offices, retail, hospitality, health care, education, and real estate (commercial, luxury residential and hi-rise). Roles & Responsibilities Realize Client Objectives. The Estimator reviews the prospects needs and wants for the product/services offered and works with the Senior Sales Engineer, System Engineers and the Sales team to develop the right solution. • Gathers relevant site details in order to create the scope of work including equipment and labor estimate., • Review and interpret project bid specifications., • Conduct site-walks with team. Support the Company Growth. The Estimator provides accurate and timely project estimates/quotes to the sales team that support the detailed scopes of work outlined in Sales Proposals, RFIs, RFPs etc. • Review & edit detailed scopes of work & product details in Sales Proposals, • Respond to requests for proposals (RFPs), • Create requests for information (RFIs), • Review product estimate and system design with sales department and other key internal resources. Increase Profit Margin. The Estimator levels vendor quotes and negotiates costs to increase profit margins, as well as identifies missing components in the scope of work to avoid additional project costs and reduced margins after the project is sold. • Documentingequipment needed and labor time required for each project, • Gather information to determine proper system components from internal and vendor resources, • Build vendor relationships and negotiate quotes. Exceed Client Expectations. The Estimator assists with the management of the quote calendar and prioritize accordingly to ensure that the sales team can meet RFP deadlines. Desired Skills and Experience • Disciplined work ethic, • Must know how to read construction drawings and do device take offs, • Excellent communication and writing skills, • Experienced and proficient with Microsoft Excel, Visio, and Outlook., • CAD and D-Tools experience a plus., • College Degree, • 2 5 years technical experience with electronic security, IT and/or low voltage systems., • Prior field based installation or project management experience is a plus. Does this sound like you? Benefits Include: • Annual salary commensurate with experience., • Health benefits package, • Voluntary dental, vision, disability and life insurance plans, • 401k plan with matching, • Company sponsored life insurance policy, • Pre-tax commuter benefit, • Generous paid-time-off policy Candidates must be authorized to work in the US. No agencies please. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Job Description Overview Related Digital is a leading vertically integrated data center development and investment platform. We deliver digital infrastructure solutions to hyperscale technology companies so they can accelerate artificial intelligence and cloud computing ambitions. Founded by Related Companies, one of the most prominent, privately-owned real estate development firms in the United States, Related Digital uniquely combines Related’s 50-year+ history of executing complex real estate and infrastructure projects with its track record in real estate investing and clean energy solutions. With a multi-billion-dollar, near-term development pipeline in the U.S., Related Digital has the expert capabilities, depth of expertise and national scale to help hyperscale companies significantly grow their data center capacity on a rapid timeframe. Strategic Advantage: Related Digital harnesses expertise across real estate development and investment, data center development, complex infrastructure construction and clean energy development to bring differentiated solutions to hyperscale technology companies. National Footprint: Related Digital is based in New York and Dallas with operations across the United States. Related Companies has offices in gateway cities across the U.S. and London, and developments in 28 states and the District of Columbia, and boasts 4,000 employees. We are proud to be an equal opportunity employer and are deliberate about the team and culture we are building. We aim to ensure competitive total compensation that is commensurate with experience, workplace geography, and market standards. For information about how we use your personal information, including information submitted for career opportunities, please review our Privacy Policy at . #RelatedDigital #LI-RB1 #Onsite Responsibilities We are seeking an experienced Electrical Engineer with a strong background in data center design to join our data center procurement team, which supports our growing development pipeline. This team is responsible for establishing equipment standards, evaluating long-lead vendors, and driving technical decision-making that supports OFCI procurement strategies. This individual will play a key role in the design, technical evaluation, and delivery of complex, mission-critical facilities and should have deep experience in high-reliability power systems, redundancy, and large-scale electrical infrastructure. This position will be based full-time at our Hudson Yards headquarters. Responsibilities: • Lead and coordinate electrical design for data center projects from concept through construction, ensuring alignment with procurement strategy and long-lead equipment requirements., • Develop and review power system layouts, single-line diagrams, load calculations, and technical specifications for OFCI equipment such as switchgear, UPS, generators, and PDUs., • Support vendor prequalification, bid evaluation, and equipment standardization across the platform., • Ensure electrical designs meet project performance goals, code requirements, and industry standards (NEC, IEEE, NFPA 70E)., • Collaborate closely with internal project managers, procurement leads, mechanical engineers, construction teams, and external consultants to ensure coordinated technical solutions., • Evaluate utility service requirements and coordinate with local utility providers for medium- and high-voltage service connections., • Review and approve submittals, RFIs, and shop drawings during construction., • Support commissioning activities and validate system performance, redundancy, and reliability., • Participate in value engineering, risk assessments, and constructability reviews., • Stay current on emerging technologies, sustainable energy solutions, high-density cooling/power trends, and innovations in electrical equipment manufacturing. Qualifications • Bachelor’s degree in Electrical Engineering or related discipline; PE license preferred., • 5- 10 years of professional experience in electrical design, with a focus on data centers, mission-critical facilities, or large-scale commercial infrastructure., • Deep understanding of power distribution systems, UPS, generators, grounding, lighting, and fire alarm systems., • Familiarity with power modeling and load analysis software (e.g., SKM, ETAP, Revit MEP)., • Strong technical writing, organization, and communication skills., • Proven ability to manage multiple priorities in a fast-paced environment., • Collaborative mindset and ability to work effectively with cross-functional teams and external partners.

Job DescriptionWe are seeking a Senior Software Engineer to join a high-visibility trading and compliance technology team supporting an in-house Trade Control platform. This system sits upstream of the OMS and plays a critical role in pre-trade compliance, controls, and stability across trading workflows. This is a hands-on, full-stack role with a strong emphasis on React front-end development, paired with backend services in .NET/C# and Python running on AWS-based microservices architecture. (Hybrid – 3 days onsite)Key Responsibilities • Build and enhance a front-end heavy React application supporting pre-trade compliance and control workflows, • Develop and maintain backend services using .NET/C# and Python within a microservices architecture, • Designed, deployed, and maintained scalable cloud infrastructure using AWS services, • Improve platform stability, performance, and scalability while delivering new features, • Work within AWS infrastructure across cloud-native services and deployments, • Own production support and issue resolution during U.S. hours, coordinating closely with offshore teams, • Collaborate with trading, compliance, and product stakeholders in a high-visibility environment, • Participate in design discussions and contribute to technical improvements across the platformRequired Skills, • 6–8 years of professional software engineering experience, • Strong hands-on experience with C#/.NET backend development, • Heavy front-end experience with React (modern frameworks, state management, performance optimization), • Developed and integrated APIs using GraphQL, • Experience building microservice architectures, ideally using Python for services, • Strong experience working in AWS cloud environments, • Experience supporting high-availability production systems, • Ability to independently own issues and drive resolutions, • Strong communication skills and experience working with offshore teamsPreferred Experience, • Experience within trading systems, compliance platforms, or financial services environments, • Exposure to OMS or pre-trade control systems, • Familiarity with distributed systems and cloud-native best practices

Job Description Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. Together, we are changing the world's relationship with financial services. At Kunai, we help our clients modernize, capitalize on emerging trends, and evolve their business for the coming decades by remaining tech-agnostic and human-centered. Overview We are seeking a Senior Fullstack Engineer to support the design and delivery of secure, scalable, enterprise-grade applications within a large financial services environment. This role will be instrumental in modernizing and enhancing cloud-native platforms that power critical banking systems. The ideal candidate brings deep expertise in Kotlin and Spring Boot, strong frontend capabilities with React and TypeScript, and hands-on experience operating containerized applications in AWS. This position requires a strong understanding of system reliability, security best practices, and performance optimization within highly regulated, large-scale environments. Key Responsibilities * Design, develop, and maintain secure, high-performance backend services using Kotlin and Spring Boot within a microservices architecture. * Build and enhance modern, responsive user interfaces using React and TypeScript, ensuring accessibility and maintainability. * Develop and maintain RESTful APIs that meet enterprise standards for scalability, reliability, and security. * Deploy, manage, and monitor containerized applications using Amazon ECS (Elastic Container Service). * Leverage core AWS services to design resilient, fault-tolerant cloud infrastructure aligned with enterprise architecture standards. * Design, implement, and optimize relational database solutions using PostgreSQL and/or MySQL, including complex query development and performance tuning. * Follow structured Git-based workflows using GitHub, including feature branching, pull request reviews, and controlled release processes. * Ensure adherence to secure coding standards, compliance requirements, and enterprise governance frameworks. * Identify and resolve system performance issues across application, database, and infrastructure layers. * Participate in architectural reviews and contribute to long-term platform modernization initiatives. * Collaborate with cross-functional stakeholders including product, security, DevOps, and enterprise architecture teams. Required Qualifications * 5+ years of experience in fullstack software engineering within complex, enterprise environments. * Strong backend development experience using Kotlin. * Proven expertise developing production-grade microservices using Spring Boot. * Hands-on experience with AWS (Amazon Web Services) and cloud-hosted infrastructure. * Experience deploying and managing containerized workloads using Amazon ECS. * Strong frontend development experience with React and modern JavaScript. * Proficiency in TypeScript to enhance scalability, maintainability, and type safety. * Solid understanding of relational database design and advanced SQL (PostgreSQL or MySQL). * Experience with Git-based version control and enterprise development workflows using GitHub. * Strong understanding of object-oriented design principles, design patterns, and distributed systems. * Experience working in regulated or compliance-driven environments is highly preferred. * Excellent communication skills and ability to collaborate across large, matrixed organizations. Our success over the past 20 years is rooted in our exceptional team, which thrives in a culture of collaboration, creativity, and continuous learning. We are proud to offer our employees a range of benefits, including competitive compensation, professional development opportunities, and flexible work arrangements, all designed to help them thrive. As we continue to expand, we remain committed to cultivating an environment where people feel valued, have a voice, and are given the tools to grow—both personally and professionally—while pushing the boundaries of innovation in the fintech industry. Minimum Degree Required: • Bachelor's Degree, in lieu of a degree, demonstrating in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college is required

Job DescriptionCareer Renew is recruiting for one of its clients a Senior Full Stack Engineer (Platform) - this is a remote position for US/Tel Aviv based candidates. We are the first automated, on-chain economic security system enabling crypto protocols to optimize risk management and capital efficiency while safeguarding user funds. We analyze protocol mechanics and scenario implications using world-class custom EVM simulations to provide actionable insights. Our platform is trusted by leading protocols, including Aave, GMX, dYdX, Venus, Jupiter and others, to manage and secure billions of dollars in assets. We are seeking a proactive and results-driven Senior Full Stack Engineer to join our team. Reporting directly to the Platform Team Lead, you will play a critical role in building data-driven dashboards and tools to support risk analysis. In this role, you will collaborate closely with research and protocol teams to deliver high-quality frontend and backend components that power protocol security insights. Responsibilities * Take full ownership of projects: break down high-level goals into actionable tasks, propose technical approaches, and drive execution end-to-end. * Design and implement scalable frontend dashboards and tools that visualize protocol risk, integrating tightly with backend data sources. * Build and maintain robust GraphQL APIs and data services that serve our UI and internal tools. * Evolve our Alert Portal, owning new feature development, architectural improvements, and performance optimizations. * Partner with research and protocol teams to deeply understand DeFi protocols and present insights via intuitive, data-rich interfaces. * Mentor and support junior engineers by sharing best practices in full-stack development. * Ensure code quality and maintainability through testing, documentation, and code reviews. * Take initiative in identifying product opportunities and technical improvements across the platform. * Collaborate with cross-functional teams to ensure high-quality outputs. * Contribute to the continuous improvement and innovation of our platform. Requirements * 5+ years of professional experience in full-stack development with modern technologies (Node.js, Python, etc.). * Proven ability to independently manage projects and deliver production-grade features with minimal supervision. * Strong experience building React-based web applications. * Solid understanding of API design, especially using GraphQL. * Experience working with data-intensive applications or analytics dashboards. * Comfortable working in dynamic, high-ownership environments with shifting priorities. * Passion for high-quality engineering and building tools that solve real user problems. * Strong problem-solving abilities and a passion for DeFi and blockchain technology. Preferred Qualifications * Experience designing, developing, and operating cloud-native services (AWS/GCP). * Strong foundation in frontend engineering best practices including accessibility, performance, and testing. * Familiarity with CI/CD pipelines and modern DevOps workflows. * Interest in or curiosity about DeFi and blockchain technologies. * Excellent communication skills and the ability to work cross-functionally in a fast-paced environment. Compensation & Package * Competitive PTO (21 days) + sick days (7) + 8 observed US-company holidays * 100% employer-paid health benefit options (Medical, dental & vision insurance) for you and your dependents * FSA or HSA (depending on selected health insurance) * Thoughtful Parental Leave Policy * Corporate wellness programs (OneMedical, Teladoc, Talkspace, EAP) * Career growth opportunities at a rapidly expanding, global technology company * Pre-tax Commuter Benefits * Salary and seniority level commensurate with experience $144,000 - $164,000 USD

Job Description Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world. We are seeking an experienced Data Engineer to join our data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization. Requirements Key Responsibilities • Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc., • Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics, reporting, and AI-driven use cases., • Build and maintain orchestration workflows using Apache Airflow to automate data pipeline execution, scheduling, and monitoring., • Support data preparation and ingestion for AI/ML and Generative AI workloads, including handling structured and unstructured datasets., • Enable data pipelines that support LLM-based applications, vector embeddings, and knowledge retrieval systems., • Lead the migration of legacy data systems to modern cloud-based data architectures., • Develop and maintain CI/CD pipelines for data workflows and platform automation., • Collaborate with data scientists, ML engineers, and AI teams to ensure data availability for model training, inference, and GenAI applications., • Optimize data pipelines for performance, reliability, scalability, and cost-effectiveness using AWS best practices. Required Skills • Strong experience as a Data Engineer working with AWS cloud services., • Hands-on experience with AWS services such as S3, Glue, Lambda, Redshift, and related data platform tools., • Experience building data pipelines using Databricks, Apache Spark, and SQL., • Experience with Apache Airflow for workflow orchestration., • Strong understanding of data modeling, data lake/lakehouse architectures, and ETL/ELT frameworks., • Experience with CI/CD pipelines and version control systems (Git)., • Exposure to Generative AI or LLM-based applications., • Experience supporting data pipelines for AI/ML workloads., • Familiarity with vector databases, embeddings, and Retrieval-Augmented Generation (RAG) architectures., • Experience working with LLM APIs or AI frameworks such as LangChain. Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job Description At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online. Our unique data and solutions empower over 6,000 customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies. In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights. Work alongside Similarwebbers from around the globe who are bright, curious, practical, and genuinely good people. We're hiring a Data Solutions Engineer (DSE) to combine deep technical expertise with strong customer-facing skills to design and deliver scalable data solutions for enterprise clients. You'll partner with Enterprise Sales and Account Management to lead technical discovery, solution design, and integration strategy across complex, consultative deals. This is a revenue-generating pre-sales role focused on driving technical adoption and long-term customer success. What You'll Do Technical Consultation & Solution Design • Act as a trusted advisor, translating business needs into scalable data architectures, • Design integration solutions using APIs, data feeds, and cloud platforms, • Architect end-to-end data pipelines into client ecosystems (Snowflake, Databricks, AWS, GCP), • Design and guide implementation of data ingestion workflows (API, S3, warehouse sharing), • Advise on data formats (CSV, JSON, Parquet, Delta) and performance trade-offs, • Deliver custom data samples aligned to client use cases, • Use SQL/Python to validate structure, schema, and analytical fit, • Partner with Sales on technical discovery, solutioning, and deal execution, • Support Account Management on expansion and deeper adoption, • Collaborate with Product, Data Engineering, and Customer Success teams, • Stay current on cloud data architecture, APIs, and AI/LLM integrations, • Provide feedback on APIs, schema design, and data delivery, • Support technical governance, performance validation, and troubleshootingWhat You Bring to Similarweb:, • 3-5+ years in solutions engineering, solution architecture, or data consulting, • Experience supporting enterprise, consultative sales cycles, • Strong SQL and data modeling experience, • Deep familiarity with cloud platforms (AWS, GCP, Azure) and data warehouses (Snowflake, Databricks), • Experience with APIs (REST/GraphQL), JSON, and authentication methods, • Knowledge of data formats (Parquet, Delta, CSV) and ETL concepts, • Experience with AI/LLM integrations and Model Context Protocol (MCP), • Background in data delivery via APIs, object storage, or warehouse sharing, • Strong ability to translate technical concepts into business value, • Excellent communication and stakeholder management The base salary range for this position in New York City is $90,000 to $125,000, plus benefits including: medical, dental and vision insurance, 401K plan, potential equity, employee stock purchase plan and paid sick and parental leave. Individual compensation is based upon a number of factors, including qualifications and relevant experience. The base salary range above is for the New York City metro area and could vary for candidates in other locations. Why you'll love being a Similarwebber: You'll actually love the product you work with: Our customers aren't our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said "the product." Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world. You'll find a home for your big ideas: We encourage an open dialogue and empower employees to bring their ideas to the table. You'll find the resources you need to take the initiative and create meaningful change within the organization. We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also strongly emphasize community, with regular team outings and happy hours. You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it's Career Week, personalized coaching, or our ongoing learning solutions, you'll find all the tools and opportunities you need to develop your career right here. Diversity isn't just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. We believe our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day. #LI-KZ #LI-Hybrid We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here.

Job DescriptionCareer Renew is recruiting for one of its clients a Senior Infrastructure Engineer - Crypto - this is a fully remote role for US-based candidates. Join a stellar team of leaders and experts in blockchain technology, cryptography, infrastructure, and security to build the backbone of blockchain wallet infrastructure for the next financial era. We’re hiring a Senior Infrastructure Engineer to design, operate, and scale the systems that power our platform. You’ll work at the intersection of blockchain, cybersecurity, and distributed infrastructure, ensuring our services are reliable, secure, and ready to meet the demands of a trillion-dollar financial industry. This role goes beyond maintaining servers. You’ll architect, automate and secure infrastructure, improve resilience, and embed best-in-class DevOps and SRE practices into our workflows. You’ll collaborate across engineering, product, and security to translate requirements into infrastructure that is scalable, cost-efficient, and secure. Preferred experience Responsibilities * Design, build, and maintain cloud infrastructure with a focus on scalability and security. * Architect and operate containerized and orchestrated systems (Docker, Kubernetes). * Automate provisioning and deployments using Terraform, Jenkins, and CI/CD pipelines. * Implement and maintain observability with Datadog across logs, metrics, and traces. * Optimize performance and reliability of Node.js applications and backend services. * Configure and manage secure enclaves (AWS Nitro) to harden critical workflows. * Partner with product and security to align infra decisions with roadmap and risk strategy. * Document systems, promote knowledge sharing, and support client discussions. Requirements * 8+ years of infrastructure, DevOps, or SRE experience in cloud-native systems. * Strong expertise with AWS (Lambda, EKS, API Gateway, DynamoDB, S3, CloudFormation, CloudWatch); GCP is a plus; IBM and Thales are a plus too. * Skilled in Infrastructure-as-Code (Terraform) and CI/CD automations. * Deep knowledge of Docker, Kubernetes, and containerized microservices. * Experience administering and tuning SQL and NoSQL databases. * Familiar with observability platforms (Datadog, ELK, Prometheus/Grafana). * Solid understanding of infrastructure security and applied cryptography fundamentals. * Proficiency in scripting and systems programming (Python, Go, Rust, or TypeScript). * Clear communication skills, ability to operate under pressure and make sound decisions. * Ideally, experience with blockchain networks and smart contracts. Compensation & Package * Title: Senior Infrastructure Engineer. * Salary: $180,000-260,000 per year (full-time). * Equity: 100-200 stock options vested over 4 years. * Benefits: Healthcare, 401K, and travel expenses. * Location: United States (remote-first, office optional). * Equipment: MacBook Pro + essentials.

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 . Please note that this is a 24/7/365 team. You will be asked to select and rank your preferred shift(s) below. What You'll Do: The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. About the Role: As a Senior Cloud Support Engineer at CoreWeave, you'll be on the front lines of a technological revolution, empowering our customers to harness the full potential of our advanced Kubernetes-powered HPC cloud infrastructure. You'll be hands-on, collaborating with engineers and researchers to resolve issues that impact high-profile, mission-critical applications and cutting-edge AI training workloads. Your contributions will be pivotal in ensuring seamless performance, reliability, and success for our customers, positioning you at the very core of transformative technologies reshaping industries worldwide at a company that is truly one of a Kind. In this role, you will: • Guide and mentor team members in developing their technical skills and troubleshooting capabilities across all disciplines supported by CoreWeave., • Provide real-time feedback and coaching, reviewing tickets to identify opportunities for improvement and ensure quality assurance (QA)., • Develop and deliver training sessions to improve the team's proficiency and efficiency in resolving customer issues., • Use technical expertise to investigate, debug, and resolve customer-impacting issues with the curiosity required to uncover and understand root causes., • Maintain high customer satisfaction through swift, accurate, and empathetic high-touch support communications, as well as established best practices., • Help design and implement troubleshooting best practices to ensure fast, accurate client resolutions., • Contribute to refining processes, workflows, and playbooks for handling complex customer challenges., • Serve as a technical escalation point for high-priority escalations or complex cases, modeling effective problem-solving approaches., • Lead the creation of knowledge-sharing resources, including documentation, tutorials, and how-to guides., • Enhance the support team's knowledge of CoreWeave's products and services through continuous learning initiatives., • Have a Bachelor's degree in Information Science / Information Technology, Data Science, Computer Science, Engineering, Mathematics, Physics, or a related field, OR equivalent experience in a technical position, • At least 5+ years of experience in cloud support, systems administration, or related technical support-focused roles, • Proven hands-on work experience with Kubernetes, • Experience with networking, load balancing, storage volumes, observability, node management, High-Performance Computing (HPC), and Linux system administration, • Proven ability to mentor team members, foster technical growth, and improve team-wide capabilities through guidance and feedback, • Experience with observability tools such as Grafana, • Strong troubleshooting skills, with experience resolving complex customer issues and driving quality assurance through ticket reviews or similar processes, • Demonstrated success collaborating with cross-functional teams to refine workflows, implement best practices, and advocate for necessary tools or process changes, • Excellent written and verbal communication skills, with a track record of simplifying complex concepts for diverse audiences, • CKA Certified, • Demonstrated experience with training, coaching, and creating onboarding materials., • Operates in a fast-paced, global, 24/7 support team environment, • Ability to collaborate across different time zones, • On-site office environment, hybrid, or remote options depending on location, • You love to dive into problems, test for solutions, and enjoy engaging with customers., • You're curious about AI. At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • 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 $122,000 to $163,000. 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 DescriptionAbout Fusemachines Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic) and more than 450 full-time employees, Fusemachines brings global AI expertise to transform companies worldwide. Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government. Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI. Role Overview As an Applied AI Engineer(Automation), you will deliver high-impact AI and automation solutions for clients—owning work from requirements discovery through prototype and production deployment. You’ll build reliable, maintainable systems that integrate LLMs into real business workflows via APIs, automation platforms, and backend services. This is a mid-to-senior individual contributor role. You’ll collaborate closely with Solutions Architects, Delivery/Engagement leads, and Product Managers to scope, build, ship, and iterate on client solutions. Key Responsibilities • Design & Deploy: Design, develop, and deploy tailored AI and automation solutions aligned to client objectives., • Build Workflows & Services: Translate business problems into production-grade AI workflows and services using Python, automation tools (n8n/Make/Zapier or similar), and LLM platforms/APIs (e.g., OpenAI, IBM watsonx.ai, Amazon Bedrock), plus retrieval systems., • Agentic Systems: Build and deploy agentic workflows using LangChain, LangGraph, and Google ADK, including tool calling and structured outputs., • Retrieval & Knowledge Systems: Implement RAG pipelines using vector databases and search technologies (e.g., Pinecone, Elasticsearch, pgvector) and graph databases when appropriate., • Prototype → Production: Ship fast prototypes, then harden them into scalable systems (testing, reliability, deployment, monitoring) independently or with a team., • Client Partnership: Participate in discovery, run technical calls/demos when needed, and communicate tradeoffs clearly to client and internal stakeholders., • Ongoing Support & Iteration: Improve deployed solutions through feature work, bug fixes, monitoring, prompt/model improvements, and additional automations., • Documentation: Produce clear technical documentation, client demos, and internal playbooks to enable reuse and scalability., • Continuous Learning: Stay current on LLM tooling and delivery best practices to improve quality and speed.Success in This Role Looks Like, • Solutions consistently meet or exceed client expectations and show measurable impact (time saved, cost reduced, improved conversion/deflection, faster cycle time)., • Clients trust you as a go-to engineering partner and expand usage of deployed AI workflows., • Deliveries are production-ready: monitored, testable, documented, and maintainable.Required Qualifications, • 3–8 years of software or AI engineering experience (mid-to-senior)., • 2–3+ years of AI Automation, Generative AI, or Agentic AI (mid-to-senior)., • Strong Python engineering skills and experience building APIs/services (e.g., FastAPI)., • Hands-on experience integrating LLMs (e.g., OpenAI APIs or equivalents), including prompt design, structured outputs, and basic evaluation practices., • Experience with at least one workflow automation platform (n8n, Make, Zapier, or similar) and building reliable integrations., • Familiarity with RAG fundamentals and retrieval systems (embeddings, vector search); exposure to vector databases and/or Elasticsearch., • Production engineering fundamentals: Docker, cloud deployment (AWS/GCP/Azure/IBM), and experience with async/queuing patterns (e.g., Celery, Redis, Kafka)., • Comfort operating in a client-facing environment: technical calls, demos, and collaborating with cross-functional stakeholders.Preferred Qualifications, • Experience with fine-tuning LLMs or other ML models; broader ML exposure is a plus (not required)., • Familiarity with observability and tracing (e.g., LangSmith, OpenTelemetry) and prompt/version lifecycle management., • Experience with graph databases / knowledge graphs., • Familiarity with data governance and AI governance concepts (PII handling, auditability, access controls, risk awareness). 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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. At Tagup, curiosity isn’t a perk—it’s the job. If you like seeing the whole system, sharing what you know, and learning from sharp teammates, you’ll fit right in. We’re engineers and data scientists on a mission to make the machines and processes that power the world safer, more reliable, and more efficient. Our AI directly controls large-scale industrial equipment and logistics systems, delivering best-in-class performance for our customers. We’re hiring a Cloud/DevOps Engineer to bring an SRE mindset to our platform: automate with IaC, orchestrate with Kubernetes, and tune PostgreSQL-backed services for performance and uptime. You’ll build secure, auditable CI/CD, enforce least-privilege by default, and uphold compliance across distributed, multi-region environments.What You'll Do • Help build and secure infrastructure across AWS, Kubernetes, and other cloud-native services under the guidance of senior engineers., • Support ATO efforts and day-to-day compliance work (e.g., IL4/IL5, CMMC, NIST SP 800-171), preparing evidence and maintaining controls., • Implement Infrastructure as Code with Terraform and related tooling; maintain modules and improve reliability through reviews and testing., • Participate in vulnerability management—triage findings, assist with remediation, and contribute to incident response runbooks and postmortems., • Collaborate with application teams to weave security into CI/CD and the development lifecycle (secrets management, least privilege, policy checks)., • Keep current on security and DevOps best practices, proposing small, iterative improvements to strengthen our defenses and operations.What We're Looking For, • Fluency in Kubernetes and Terraform (EKS in production)., • Hands-on experience with Istio and Gateway API., • Strong background in Python and PostgreSQL., • Familiarity with compliance frameworks—SOC 2, CMMC (Level 1 & 2), NIST SP 800-171, etc., • Proven track record identifying and mitigating CVEs., • Experience operating in FedRAMP environments (e.g., IL4, IL5).Bonus Points, • Experience mitigating CVEs in production systems.

Job Description COMPANY: Canoe Intelligence WEBSITE: TITLE: Data Engineer LOCATION: New York City (hybrid) or Fully Remote in the United States SALARY: $110,000 - $140,000 (based on NYC, will be adjusted for geo) The Role: We are seeking a Data Engineer to join our Data Engineering team. This team is building the data foundations of Canoe’s industry-leading Alts Data Platform, and will play a critical role in its growth and expansion of offerings over the coming years. You will play a key role in designing and building scalable, reliable, and maintainable data systems, contributing to the architecture and development of our data platform, and helping define the Data Engineering team’s future direction. What You’ll Do: * Contribute to the design and development of our Data platform. * Work closely with AI / ML Engineers to build intelligence and automation into all Canoe systems. * Design and implement data models, data pipelines, and data architectures in support of new Canoe product offerings. * Participate in cross-functional teams as Data Engineering’s representative. * Build observable systems and be an organization leader in operational excellence. What We’re Looking For: * Minimum 5 years of experience in software development, with at least two in a Data Engineering role * Experience with SQL Databases and relational data modeling. * Experience working with data at scale. * A strong sense of ownership and accountability. * Curiosity and a willingness to learn new technologies. * Great communication skills. * A history of working well with technical and non-technical stakeholders. * Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience). * Experience with our core technologies: Kafka(preferred), PostgreSQL or similar relational database, AWS or similar cloud service, Snowflake or redshift , Dbt (preferred), Airflow or similar orchestration tool. What You’ll Get: * Medical, dental, vision benefits * Flexible PTO * 401(k) * Flexible work from home policy * Home office stipend * Employee Assistance Program * Gym/Wifi reimbursement * Education assistance * Parental Leave * Our Values: * Client First —> Listen, and deliver client-centric solutions * Be An Owner —> Take initiative, improve situations, drive positive outcomes * Excellence —> Always set the highest standard for yourself and others * Win Together —> 1 + 1 = 3 Who We Are: Canoe is reimagining alternative investment data processes for hundreds of leading institutional investors, capital allocators, asset servicing firms and wealth managers. By combining industry expertise with the most sophisticated data capture technologies, Canoe’s technology automates the highly-frustrating, time-consuming, and costly manual workflows related to alternative investment document and data management, extraction and delivery. With Canoe, clients can refocus capital and human resources on business performance and growth, increase efficiency, and gain deeper access to their data. Canoe’s AI-driven platform was developed in 2013 for Portage Partners LLC, a private investment firm. Canoe is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Job Description We’re looking for a senior, hands-on software engineer to design, build, and operate LLM-powered and agentic workflows that support real production use cases—not research demos. This role sits at the intersection of backend engineering, applied AI, and production infrastructure. You’ll work on systems that handle sensitive healthcare data, integrate AI into user-facing workflows, and run reliably at scale under strict security and compliance constraints. This is an individual contributor role with high ownership. You’ll be expected to make pragmatic technical decisions, collaborate closely with product and operations, and help shape how AI capabilities are integrated into the broader platform. What You’ll Be Doing * Designing and operating LLM-powered and agentic workflows end-to-end * Integrating AI capabilities into backend and product workflows * Building and maintaining secure, compliant systems for sensitive healthcare data * Making technical decisions around security, compliance, cost, performance, and scalability of AI workloads * Implementing monitoring, alerting, and observability for AI pipelines and production services * Collaborating cross-functionally with engineering, product, and operations teams * Mentoring engineers on backend best practices and applied AI workflows Must-Haves * 5+ years of professional software engineering experience * Strong backend and/or full-stack engineering background from B2B SaaS or product-driven startups * Experience deploying secure, reliable systems on cloud platforms (AWS, GCP, or Azure) * Demonstrated ability to build and operate production systems, not just prototypes * Comfort working with non-engineers and translating product requirements into technical solutions * Hands-on experience integrating LLMs into real applications (prompting, orchestration, evaluations, or agents) This role favors engineers who have owned AI workflows in production, not candidates coming purely from research, data science, or director-level roles. Nice-to-Haves * 1+ year of experience designing AI workflows end-to-end in production * Experience leading AI infrastructure or platform projects at an early-stage startup * Contributions to engineering architecture or coding standards * Experience with containerization and orchestration (Docker, Kubernetes) * Infrastructure-as-code experience (Terraform, Pulumi) * Exposure to early-stage product ideation for AI-enabled features What This Role Is (and Isn’t) * A senior IC role with strong ownership * Applied AI + backend engineering, focused on real users and real constraints * Startup environment with cross-functional collaboration * Not a director-level or people-management role * Not an AI research or purely scientific role * Not suitable for candidates without hands-on LLM or agentic workflow experience * Not remote-only or relocation-friendly Location & Work Setup * Location: New York City * Work model: Hybrid (in office Monday, Wednesday, Thursday) * Relocation: Not available * Visa sponsorship: Available Compensation * Base salary: $190,000 – $250,000 * Equity: Offered (details TBD)

Job Description Fullstack Engineer (Frontend‑Leaning) – NYC Onsite A fast‑growing, venture‑backed AI startup is hiring Fullstack Engineers to help build the next generation of intelligent tools for in‑house legal teams. This is a high‑ownership role for engineers who want to ship quickly, work across the stack, and grow alongside a senior engineering team solving complex, real‑world problems. We’re building modern, intuitive, customer‑facing applications that streamline legal workflows and eliminate repetitive tasks. If you thrive in fast‑moving environments, enjoy working closely with founders, and want to help shape a product from the ground up, this role is an excellent fit. Role Overview As a Fullstack Engineer, you will contribute across the frontend and backend, with a strong emphasis on React. You’ll collaborate with experienced engineers, ship production features, and expand your scope rapidly as the team scales. Key Responsibilities • Build and maintain React components and customer‑facing UI features., • Develop and support backend services using Node.js and TypeScript., • Work within a cloud‑native environment (GCP preferred)., • Participate in agile workflows: write user stories, estimate tasks, and deliver high‑quality code., • Ensure code quality through testing, code reviews, and monitoring., • Troubleshoot production issues and contribute to operational excellence., • Collaborate with senior engineers on architectural decisions and engineering best practices. Must‑Have Qualifications • Bachelor’s degree in Computer Science or related technical field., • 1–2+ years of fullstack development experience (React + Node.js)., • Strong understanding of JavaScript/TypeScript fundamentals., • Familiarity with GCP or another major cloud platform., • Experience building customer‑facing applications (not just internal tools)., • High ownership mindset, strong problem‑solving skills, and adaptability in a fast‑paced startup environment., • Interest in legal technology and solving complex workflow problems., • Based in NYC or willing to relocate (relocation assistance available). Strongly Preferred • Experience with SQL and Postgres., • Strong GitHub presence, side projects, or open‑source contributions., • Prior startup experience (internship, seed‑stage, or Series A–C)., • Experience working on complex, production‑level systems., • Former founder or early team member experience. Not a Fit If • You prefer slow‑moving environments or traditional enterprise engineering., • You lack interest in legal tech or early‑stage startup work., • You have exclusively worked at non‑tech companies (banks, healthcare, etc.)., • You are overly specialized in frontend only or DevOps only., • You struggle with fast feedback cycles or high‑urgency execution. Compensation & Location • Salary: $110,000–$150,000 (based on experience, interview performance, and location)., • Equity: Competitive early‑stage equity package., • Location: New York City (onsite or hybrid)., • Relocation: Up to $10,000 for qualified candidates. Why This Role Stands Out • Work directly with founders and senior engineers., • Build real, customer‑facing features used by modern legal teams., • Join a small, high‑impact engineering team (currently ~8 engineers)., • Grow quickly into broader responsibilities as the company scales., • Contribute to a product with real customers and strong early traction.

Job Description Attention: Kapitus is aware that individuals posing as recruiters may be communicating with job seekers about supposed positions with Kapitus. Kapitus has received reports that the content and method of communication can vary, but messages may contain requests for payment (e.g., fees for equipment or training) and/or for sensitive financial information. Kapitus will never ask a candidate for employment for payment or financial information during the initial application or interview process. All open positions are posted in location specific employment portals available at All legitimate Kapitus job postings on employment sites will direct candidates to complete an application through these portals before completion of the hiring process. Candidates with additional questions or concerns regarding any recruiting communications or Kapitus' recruiting process in general should email The Cloud DevSecOps Engineer III is responsible for bringing the concepts of development, security, and operations together to create a more robust security system for the organization. They test and monitor an organization's system for vulnerabilities and work in collaboration with developers to create new programs that patch holes in the current security program. They add countermeasures to prevent against new threats, or simply make the program stronger and more effective. They are responsible for keeping the organization's data, network, and IT infrastructure safe and free from security threats through monitoring, programming, testing, and communication. What you will do: · Build & Deploy - AWS CloudFormation and OpenTofu for template creation & maintenance · Leverage GitHub Actions as well as AWS CodePipeline CI/CD automation Leverage AWS Cost Optimizations & AWS Well-Architected Best Practice recommendations · HA & DR implementations, including improvements to RTO/RPO · Help maintain AWS Operations with governance mechanisms · Help to maintain and own the Infrastructure and Operational Excellence for the company · Document and develop processes to support systems across the organization · Monitor the implementation of various critical infrastructure and middleware components · Build & Maintain and release highly available, reliable, stable products across several platforms · Create alarms and maintain transparent monitoring of all relevant systems for tracking operational excellence, cost, and performance · Should be able to understand complex architectures and be comfortable working with multiple teams · Should be highly proactive with a keen focus on improving the uptime availability of our mission-critical services What We're Looking For: · Must have AWS Certified SysOps Administrator and/or Solutions Architect Associate and/or Developer Associate and/or 7+ years of implementing & maintaining enterprise AWS Cloud environments. · Experience creating, delivering, and operating multi-tenanted, distributed systems at scale · Cloud architecture experience in AWS environment and container-based deployments using OpenTofu, GitHub Actions, AWS CodePipeline, and CloudFormation. · Passionate for continuous learning and understanding things in and around cloud development · Experience with various AWS services like ECS, S3, Lambda, DynamoDB, RDS, Cognito, WAF, GuardDuty, CloudFront, Route 53, EventBridge, Github Actions, etc · Experience with any tools like DataDog, CloudWatch, or similar tools for observability · Solid understanding of the application and infrastructure security · Good to have knowledge on Azure and an understanding of Azure Active Directory · Strong written and verbal communication skills Kapitus Total Rewards Package Includes: · Competitive Base Salary Range of $117,800-$189,000 Kapitus is providing this as a good faith salary range to comply with applicable law. The applicant's final salary will depend on a number of factors including the applicant's geographic location, skills, and experience. · Annual Incentive Compensation Eligibility – Up to 10% annually · Health Insurance: We offer comprehensive medical, dental, and employer-paid vision plans through UnitedHealthcare (UHC), with various coverage levels available to meet the needs of our employees and their families. · 100% Company Paid Insurances: Kapitus fully covers the cost of basic short-term and long-term disability insurance, as well as vision insurance, ensuring our employees have comprehensive protection without any personal expense. · Voluntary Insurance: Supplemental life insurance as well as enhanced short- and long-term disability coverage are available through Mutual of Omaha, providing additional security for our employees. Additionally, Colonial Accident and Hospitalization insurances are also available, offering further protection against unforeseen events. · Paid Maternity and Parental Leave: Beyond state-mandated leave policies, Kapitus provides company-paid maternity and parental leave, supporting our employees during important family milestones. · LifeBalance Program: Enhance your lifestyle with our LifeBalance membership, which offers discounts on outdoor activities, the arts, health, and fitness. Additional benefits include: o Pet and car insurance discounts. o Financial services such as LegalShield. o Relaxation and stress management tools, including a fully covered annual subscription to The Calm App. · Plum Benefits Discount Program: Access exclusive discounts on shows, travel, car rentals, and more, enriching your personal and family life. · Tuition Reimbursement: Pursue further education with up to $5,000 annually in tuition reimbursement, plus opportunities to attend relevant conferences and career development events. · Transit Reimbursement: We also offer transit reimbursement for all work-related travel, supporting your involvement in career and personal development activities. · Paid Time Off and Sick Time · Retirement Benefits: Our 401K plan is managed through Fidelity, featuring a 25% match on employee contributions, helping you plan for a secure financial future. About Kapitus: Kapitus is one of the most reliable and respected names in small business financing. As both a direct lender and a marketplace built with a trusted network of lending partners, we can provide small businesses with the financing they need when, and how it is needed. We have spent our entire existence building a culture that makes us excited to come to work in the morning. Our company is fast paced, teammates need to be self-directed and have an internal motivation to do the right thing, even when the right thing takes a lot of hard work. We show our teammates our appreciation by offering great benefits, competitive pay and solid opportunity for growth. Company Mission: At Kapitus, our mission is to help small business owners grow their organizations by providing tailored, transparent, and ethical financing solutions. We invest in every business owner's story and we are dedicated to building lasting relationships to champion their goals. We promise to keep the best interests of our clients at the center of the financing process by operating with transparency, fairness, and integrity. Consideration will be given to qualified remote candidates residing in states where Kapitus and/or one of its subsidiaries has an established physical presence.