Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) 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. Why this Role Matters: We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. 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. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level 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 Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders K8s mastery (multi-region clusters, sericie mesh) Experience staying abreast of the latest AI research and AI systems and applying 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: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished 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 ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. . click apply for full job details
08/06/2026
Full time
Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) 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. Why this Role Matters: We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. 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. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level 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 Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders K8s mastery (multi-region clusters, sericie mesh) Experience staying abreast of the latest AI research and AI systems and applying 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: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished 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 ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. . click apply for full job details
Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) 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. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. 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. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level 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 Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying 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. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished 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 ; 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 . click apply for full job details
08/06/2026
Full time
Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) 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. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. 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. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level 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 Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying 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. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished 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 ; 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 . click apply for full job details
Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) 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. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. 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. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level 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 Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying 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. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished 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 ; 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 . click apply for full job details
08/06/2026
Full time
Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible) 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. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. 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. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level 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 Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying 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. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished 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 ; 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 . click apply for full job details
As a key member of our cybersecurity team, you will be instrumental in guiding the application of IT security controls that ensure the confidentiality, integrity, and availability of system data and resources. Your solutions will align with existing system and network configurations, collaborating closely with configuration managers to maintain seamless security integration. In this position, you will lead critical functions related to the Risk Management Framework (RMF), overseeing the approval, sustainment, and disposition of Department of Defense (DoD) Information Systems. This includes continuous monitoring, vulnerability assessments, and coordination with Certified Defense Contractors to ensure compliance. You will also facilitate changes, maintenance approvals, and work alongside the Security Control Assessor (SCA) and Authorizing Official Designated Representative (AODR). Additionally, you will maintain organizational networks, manage accounts, audit systems, and conduct vulnerability scans. Your expertise will serve as a key resource, providing vital cybersecurity insights and guidance to civilian and military personnel, and senior leadership. You'll play an essential role in government inspections and audits, ensuring that all systems comply with the highest regulatory standards. Skills / Experience Required Top Secret with Sensitive Compartmented Information (TS/SCI) eligible May be required to consent to and successfully complete a Government Counterintelligence Scope Polygraph 10+ years of relevant experience within the Department of Defense 4+ years experience in SAP/SCI environment and worked in this environment within the last five years Ability to work in a dynamic environment with a diverse group of individuals focused on the accomplishment of a common objectives Provide recommendations to senior leadership to help ensure mission success Capable of conveying complex information in a simplistic manner Able to take proactive measures to prevent problems rather than reactive by nature Excellent written and oral interpersonal skills and attention to detail Strong critical thinking and problem-solving skills Education / Certifications Master of Arts/Master of Science/Master of Engineering in Computer Science, Cybersecurity, MIS, or related degree Relevant work experience/training certifications may be considered in lieu of a degree Minimum 1 year of experience using Risk Management Framework (RMF) IT security controls and policies Minimum DoD 8140/DoD 8570 IASAE Level II Certification Benefits Medical, dental, vision, disability, and life insurance Flexible Spending Accounts 401(k) PTO Paid Parental leave Tuition reimbursement Paid federal holidays Keenbee Talent Solutions is a Native Alaskan Women owned sdb specializing in the placement of highly skilled professionals in Accounting and Finance, IT/MIS and Biomedical. Keenbee has been in business since 1997 servicing New Mexico and the surrounding states with high results. Keenbee Talent Solutions is an equal opportunity employment agency. We do not discriminate based on race, color, national origin, religion, ancestry, sex, age, disability, serious medical condition, spousal affiliation, sexual orientation, gender identity, or other classifications protected under the law.
08/06/2026
As a key member of our cybersecurity team, you will be instrumental in guiding the application of IT security controls that ensure the confidentiality, integrity, and availability of system data and resources. Your solutions will align with existing system and network configurations, collaborating closely with configuration managers to maintain seamless security integration. In this position, you will lead critical functions related to the Risk Management Framework (RMF), overseeing the approval, sustainment, and disposition of Department of Defense (DoD) Information Systems. This includes continuous monitoring, vulnerability assessments, and coordination with Certified Defense Contractors to ensure compliance. You will also facilitate changes, maintenance approvals, and work alongside the Security Control Assessor (SCA) and Authorizing Official Designated Representative (AODR). Additionally, you will maintain organizational networks, manage accounts, audit systems, and conduct vulnerability scans. Your expertise will serve as a key resource, providing vital cybersecurity insights and guidance to civilian and military personnel, and senior leadership. You'll play an essential role in government inspections and audits, ensuring that all systems comply with the highest regulatory standards. Skills / Experience Required Top Secret with Sensitive Compartmented Information (TS/SCI) eligible May be required to consent to and successfully complete a Government Counterintelligence Scope Polygraph 10+ years of relevant experience within the Department of Defense 4+ years experience in SAP/SCI environment and worked in this environment within the last five years Ability to work in a dynamic environment with a diverse group of individuals focused on the accomplishment of a common objectives Provide recommendations to senior leadership to help ensure mission success Capable of conveying complex information in a simplistic manner Able to take proactive measures to prevent problems rather than reactive by nature Excellent written and oral interpersonal skills and attention to detail Strong critical thinking and problem-solving skills Education / Certifications Master of Arts/Master of Science/Master of Engineering in Computer Science, Cybersecurity, MIS, or related degree Relevant work experience/training certifications may be considered in lieu of a degree Minimum 1 year of experience using Risk Management Framework (RMF) IT security controls and policies Minimum DoD 8140/DoD 8570 IASAE Level II Certification Benefits Medical, dental, vision, disability, and life insurance Flexible Spending Accounts 401(k) PTO Paid Parental leave Tuition reimbursement Paid federal holidays Keenbee Talent Solutions is a Native Alaskan Women owned sdb specializing in the placement of highly skilled professionals in Accounting and Finance, IT/MIS and Biomedical. Keenbee has been in business since 1997 servicing New Mexico and the surrounding states with high results. Keenbee Talent Solutions is an equal opportunity employment agency. We do not discriminate based on race, color, national origin, religion, ancestry, sex, age, disability, serious medical condition, spousal affiliation, sexual orientation, gender identity, or other classifications protected under the law.
City/State Virginia Beach, VA Work Shift Multiple shifts available Overview: Sentara is hiring a Senior MLOps & Generative AI Engineer! This position is fully remote! Candidates must reside in one of the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, West Virginia, Wisconsin, or Wyoming. Overview We are seeking a highly skilled and experienced Senior MLOps & Generative AI Engineer to join our growing AI organization and help advance current and future initiatives applying machine learning, deep learning, NLP, and Generative AI technologies to improve healthcare outcomes and operational excellence. This role combines two critical focus areas: MLOps Engineering - building and scaling enterprise-grade ML infrastructure, deployment pipelines, observability, governance, and automation capabilities. Generative AI Engineering - designing, architecting, deploying, and optimizing secure, production-ready GenAI applications and platforms leveraging LLMs, RAG architectures, vector databases, prompt orchestration, and AI evaluation frameworks. As a Senior Engineer, you will partner closely with AI Scientists, Data Engineers, Software Engineers, Architects, and Product teams to operationalize AI/ML and Generative AI solutions at enterprise scale. You will play a key role in shaping the organization's AI platform strategy, driving best practices, and delivering scalable, secure, and reliable AI systems in production healthcare environments. Key Responsibilities MLOps Engineering Responsibilities Design, build, and maintain scalable ML infrastructure and pipelines supporting model training, deployment, monitoring, governance, and lifecycle management. Develop and optimize CI/CD pipelines for machine learning and AI workloads across development, staging, and production environments. Build reusable ML platform capabilities including feature stores, model registries, experimentation frameworks, artifact management, and deployment automation. Implement scalable orchestration and workflow solutions for batch and real-time ML inference workloads. Create robust monitoring systems to measure model performance, detect model drift, monitor data quality, and ensure production reliability. Develop automation tools and self-service capabilities to improve the efficiency, scalability, and reliability of MLOps processes. Collaborate with Data Scientists and Software Engineers to streamline the ML lifecycle from experimentation through enterprise production deployment. Apply software engineering best practices to AI/ML systems including testing, observability, resiliency, security, versioning, and infrastructure-as-code. Identify gaps and improvement opportunities within the organization's ML platform ecosystem and architect scalable solutions to address them. Support enterprise AI governance, compliance, auditability, and model risk management requirements. Ensure platform scalability, reliability, security, and operational excellence across AI/ML systems. Generative AI Engineering Responsibilities Lead the architecture, design, and deployment of enterprise Generative AI solutions leveraging LLMs, foundation models, and agentic AI systems. Design and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases, embeddings, semantic search, reranking, and retrieval optimization strategies. Build scalable LLM orchestration frameworks using technologies such as LangChain, LlamaIndex, Semantic Kernel, or equivalent frameworks. Develop advanced prompt engineering strategies, prompt chaining, context management, and agent workflows to improve LLM accuracy and reliability. Evaluate and implement fine-tuning, parameter-efficient tuning, and prompt-based optimization approaches for domain-specific use cases. Build AI evaluation and benchmarking frameworks to measure hallucination rates, response quality, grounding accuracy, toxicity, bias, latency, and business performance metrics. Implement AI safety guardrails, governance controls, content filtering, and responsible AI practices for enterprise healthcare environments. Design scalable GenAI APIs and microservices supporting high-throughput enterprise AI applications. Optimize GenAI systems for cost, latency, throughput, and inference performance across cloud and hybrid environments. Integrate enterprise data sources, healthcare systems, and knowledge repositories into secure GenAI workflows. Research and evaluate emerging GenAI technologies, open-source frameworks, and foundation models to drive innovation and continuous improvement. Develop architecture diagrams, technical roadmaps, implementation strategies, and executive-level documentation for enterprise AI initiatives. Collaborate with cybersecurity, compliance, and infrastructure teams to ensure secure and compliant deployment of GenAI solutions involving PHI and sensitive healthcare data. Contribute to the development of AI platform standards, reusable GenAI accelerators, templates, and engineering best practices. Required Qualifications 5+ years of experience building and deploying production software, ML systems, or AI platforms. 1+ years of hands-on experience building production Generative AI or LLM-based applications. Strong programming skills in Python and experience with software engineering best practices. Experience with major deep learning and LLM frameworks such as PyTorch, Hugging Face Transformers, TensorFlow, or equivalent. Hands-on experience implementing RAG architectures, vector search, embeddings, prompt engineering, and LLM orchestration frameworks. Experience with vector databases such as Pinecone, Weaviate, Chroma, FAISS, Milvus, or equivalent technologies. Experience deploying AI/ML systems in cloud environments including AWS, Azure, or GCP. Strong understanding of APIs, distributed systems, microservices, and scalable backend architectures. Experience with Kubernetes, containerization, orchestration, and cloud-native infrastructure. Experience implementing CI/CD pipelines, infrastructure automation, and MLOps best practices. Experience building monitoring, observability, and alerting solutions for ML and AI systems. Strong understanding of AI/ML lifecycle management, governance, model versioning, and production operations. Experience designing secure, scalable, production-ready AI platforms and services. Strong communication and collaboration skills with the ability to work across technical and business teams. Preferred Qualifications Previous experience implementing Generative AI and MLOps solutions within healthcare environments. Experience working with EPIC or healthcare interoperability platforms. Understanding of HIPAA, PHI handling, healthcare compliance, and responsible AI practices. Experience with AI governance frameworks, LLM evaluation methodologies, and AI safety tooling. Experience with GPU infrastructure optimization and scalable inference architectures. Familiarity with multi-agent AI systems and autonomous workflows. Experience with event-driven architectures, streaming pipelines, and real-time inference systems. Exposure to model fine-tuning techniques including LoRA, PEFT, RLHF, or domain adaptation strategies. Experience with enterprise AI platform architecture and internal developer platforms. Prior experience mentoring engineers and leading technical initiatives. Education 5+ years of relevant experience with a degree (Required) or 7+ years of relevant experience without a degree (Required) Experience in lieu of Bachelor's Degree. Certification/Licensure No specific certification or licensure requirements Experience 5 to 7 years of relevant experience We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for Full Time employment is: $91,416.00 - $152,380.80. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities. Benefits: Caring For Your Family and Your Career • Medical, Dental, Vision plans • Adoption, Fertility and Surrogacy Reimbursement up to $10,000 • Paid Time Off and Sick Leave • Paid Parental & Family Caregiver Leave • Emergency Backup Care • Long-Term, Short-Term Disability, and Critical Illness plans • Life Insurance • 401k/403B with Employer Match • Tuition Assistance - $5,250/year and discounted educational opportunities through Guild Education • Student Debt Pay Down - $10,000 • Reimbursement for certifications and free access to complete CEUs and professional development •Pet Insurance •Legal Resources Plan . click apply for full job details
08/06/2026
Full time
City/State Virginia Beach, VA Work Shift Multiple shifts available Overview: Sentara is hiring a Senior MLOps & Generative AI Engineer! This position is fully remote! Candidates must reside in one of the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, West Virginia, Wisconsin, or Wyoming. Overview We are seeking a highly skilled and experienced Senior MLOps & Generative AI Engineer to join our growing AI organization and help advance current and future initiatives applying machine learning, deep learning, NLP, and Generative AI technologies to improve healthcare outcomes and operational excellence. This role combines two critical focus areas: MLOps Engineering - building and scaling enterprise-grade ML infrastructure, deployment pipelines, observability, governance, and automation capabilities. Generative AI Engineering - designing, architecting, deploying, and optimizing secure, production-ready GenAI applications and platforms leveraging LLMs, RAG architectures, vector databases, prompt orchestration, and AI evaluation frameworks. As a Senior Engineer, you will partner closely with AI Scientists, Data Engineers, Software Engineers, Architects, and Product teams to operationalize AI/ML and Generative AI solutions at enterprise scale. You will play a key role in shaping the organization's AI platform strategy, driving best practices, and delivering scalable, secure, and reliable AI systems in production healthcare environments. Key Responsibilities MLOps Engineering Responsibilities Design, build, and maintain scalable ML infrastructure and pipelines supporting model training, deployment, monitoring, governance, and lifecycle management. Develop and optimize CI/CD pipelines for machine learning and AI workloads across development, staging, and production environments. Build reusable ML platform capabilities including feature stores, model registries, experimentation frameworks, artifact management, and deployment automation. Implement scalable orchestration and workflow solutions for batch and real-time ML inference workloads. Create robust monitoring systems to measure model performance, detect model drift, monitor data quality, and ensure production reliability. Develop automation tools and self-service capabilities to improve the efficiency, scalability, and reliability of MLOps processes. Collaborate with Data Scientists and Software Engineers to streamline the ML lifecycle from experimentation through enterprise production deployment. Apply software engineering best practices to AI/ML systems including testing, observability, resiliency, security, versioning, and infrastructure-as-code. Identify gaps and improvement opportunities within the organization's ML platform ecosystem and architect scalable solutions to address them. Support enterprise AI governance, compliance, auditability, and model risk management requirements. Ensure platform scalability, reliability, security, and operational excellence across AI/ML systems. Generative AI Engineering Responsibilities Lead the architecture, design, and deployment of enterprise Generative AI solutions leveraging LLMs, foundation models, and agentic AI systems. Design and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases, embeddings, semantic search, reranking, and retrieval optimization strategies. Build scalable LLM orchestration frameworks using technologies such as LangChain, LlamaIndex, Semantic Kernel, or equivalent frameworks. Develop advanced prompt engineering strategies, prompt chaining, context management, and agent workflows to improve LLM accuracy and reliability. Evaluate and implement fine-tuning, parameter-efficient tuning, and prompt-based optimization approaches for domain-specific use cases. Build AI evaluation and benchmarking frameworks to measure hallucination rates, response quality, grounding accuracy, toxicity, bias, latency, and business performance metrics. Implement AI safety guardrails, governance controls, content filtering, and responsible AI practices for enterprise healthcare environments. Design scalable GenAI APIs and microservices supporting high-throughput enterprise AI applications. Optimize GenAI systems for cost, latency, throughput, and inference performance across cloud and hybrid environments. Integrate enterprise data sources, healthcare systems, and knowledge repositories into secure GenAI workflows. Research and evaluate emerging GenAI technologies, open-source frameworks, and foundation models to drive innovation and continuous improvement. Develop architecture diagrams, technical roadmaps, implementation strategies, and executive-level documentation for enterprise AI initiatives. Collaborate with cybersecurity, compliance, and infrastructure teams to ensure secure and compliant deployment of GenAI solutions involving PHI and sensitive healthcare data. Contribute to the development of AI platform standards, reusable GenAI accelerators, templates, and engineering best practices. Required Qualifications 5+ years of experience building and deploying production software, ML systems, or AI platforms. 1+ years of hands-on experience building production Generative AI or LLM-based applications. Strong programming skills in Python and experience with software engineering best practices. Experience with major deep learning and LLM frameworks such as PyTorch, Hugging Face Transformers, TensorFlow, or equivalent. Hands-on experience implementing RAG architectures, vector search, embeddings, prompt engineering, and LLM orchestration frameworks. Experience with vector databases such as Pinecone, Weaviate, Chroma, FAISS, Milvus, or equivalent technologies. Experience deploying AI/ML systems in cloud environments including AWS, Azure, or GCP. Strong understanding of APIs, distributed systems, microservices, and scalable backend architectures. Experience with Kubernetes, containerization, orchestration, and cloud-native infrastructure. Experience implementing CI/CD pipelines, infrastructure automation, and MLOps best practices. Experience building monitoring, observability, and alerting solutions for ML and AI systems. Strong understanding of AI/ML lifecycle management, governance, model versioning, and production operations. Experience designing secure, scalable, production-ready AI platforms and services. Strong communication and collaboration skills with the ability to work across technical and business teams. Preferred Qualifications Previous experience implementing Generative AI and MLOps solutions within healthcare environments. Experience working with EPIC or healthcare interoperability platforms. Understanding of HIPAA, PHI handling, healthcare compliance, and responsible AI practices. Experience with AI governance frameworks, LLM evaluation methodologies, and AI safety tooling. Experience with GPU infrastructure optimization and scalable inference architectures. Familiarity with multi-agent AI systems and autonomous workflows. Experience with event-driven architectures, streaming pipelines, and real-time inference systems. Exposure to model fine-tuning techniques including LoRA, PEFT, RLHF, or domain adaptation strategies. Experience with enterprise AI platform architecture and internal developer platforms. Prior experience mentoring engineers and leading technical initiatives. Education 5+ years of relevant experience with a degree (Required) or 7+ years of relevant experience without a degree (Required) Experience in lieu of Bachelor's Degree. Certification/Licensure No specific certification or licensure requirements Experience 5 to 7 years of relevant experience We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for Full Time employment is: $91,416.00 - $152,380.80. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities. Benefits: Caring For Your Family and Your Career • Medical, Dental, Vision plans • Adoption, Fertility and Surrogacy Reimbursement up to $10,000 • Paid Time Off and Sick Leave • Paid Parental & Family Caregiver Leave • Emergency Backup Care • Long-Term, Short-Term Disability, and Critical Illness plans • Life Insurance • 401k/403B with Employer Match • Tuition Assistance - $5,250/year and discounted educational opportunities through Guild Education • Student Debt Pay Down - $10,000 • Reimbursement for certifications and free access to complete CEUs and professional development •Pet Insurance •Legal Resources Plan . click apply for full job details
SUMMARY We are seeking a highly motivated MES Analyst with experience in food manufacturing and the Ignition platform or similar MES to support, enhance, and optimize manufacturing execution systems across production operations. This role will serve as a key technical resource responsible for MES configuration, data integration, production reporting, and continuous improvement initiatives within a regulated food manufacturing environment. The ideal candidate combines manufacturing systems expertise with strong operational knowledge of food production processes, traceability requirements, and industrial automation systems. This role is 100% onsite in Marlborough, MA. ESSENTIAL DUTIES AND RESPONSIBILITIES include the following: The MES Analyst will be responsible for overseeing the adoption/development/and support of Ken's Foods Manufacturing Execution System. This person will be tasked with being a subject matter expert on all facets of the system and work to ensure adoption and best practices across the organization. They will act as the key liaison between the corporate and plant floor teams, the technical development team, and the senior management team. They will work to provide training and assistance with the MES system. MES & Ignition Platform Support Administer, configure, and support the Ignition platform for manufacturing execution and operational visibility. Develop and maintain Ignition projects, including: Production dashboards Downtime tracking OEE monitoring Recipe management Electronic batch records Traceability applications Quality and production reporting Troubleshoot MES and Ignition-related issues affecting manufacturing operations. Manage system integrations between Ignition, PLCs, SCADA systems, historians, ERP systems, and databases. Support gateway administration, tag management, alarming, scripting, and user security within Ignition. Manufacturing & Operations Support Partner with operations, QA, maintenance, engineering, and IT teams to improve manufacturing efficiency and data accuracy. Analyze manufacturing data to identify trends, bottlenecks, downtime causes, and process improvement opportunities. Support digital transformation initiatives and plant-floor automation projects. Ensure MES functionality aligns with food safety, traceability, and regulatory compliance requirements. Assist in standardizing manufacturing processes across multiple production lines or facilities. Reporting & Data Management Create and maintain SQL queries, reports, KPIs, and production analytics. Develop real-time dashboards and visualizations for plant operations and leadership teams. Support historical data collection and reporting for audits, investigations, and compliance tracking. Validate manufacturing data integrity and troubleshoot data flow issues. Compliance & Documentation Maintain documentation for MES configurations, SOPs, workflows, validation protocols, and system changes. Support compliance with FDA, USDA, HACCP, SQF, GMP, and internal quality standards. Participate in change management, system testing, validation, and deployment activities. Assist with user training and development of work instructions. Required Qualifications • Deep understanding of Ignition or similar MES. • Understanding of manufacturing operations including batching, packaging, filling, mixing, and material traceability. • Familiarity with industrial automation systems and controls architecture. • Strong troubleshooting, analytical, and communication skills. • Lean Manufacturing or Six Sigma experience. • Experience supporting multi-site manufacturing operations. Education and/or Experience • Bachelor's degree in Engineering, Information Systems, Computer Science, Industrial Technology, Food Science, or related field. • 3+ years of MES, SCADA, or manufacturing systems experience in a production environment. • Hands-on experience with the Ignition platform by Inductive Automation or similar MES. • Experience in food and/or beverage manufacturing strongly preferred. Work Authorization Notice: Please note that we do not provide visa sponsorship or immigration support for this position. Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship. The salary for this position is determined by a combination of experience, skills, and education level. The compensation range is $110K-135k annually.
08/06/2026
Full time
SUMMARY We are seeking a highly motivated MES Analyst with experience in food manufacturing and the Ignition platform or similar MES to support, enhance, and optimize manufacturing execution systems across production operations. This role will serve as a key technical resource responsible for MES configuration, data integration, production reporting, and continuous improvement initiatives within a regulated food manufacturing environment. The ideal candidate combines manufacturing systems expertise with strong operational knowledge of food production processes, traceability requirements, and industrial automation systems. This role is 100% onsite in Marlborough, MA. ESSENTIAL DUTIES AND RESPONSIBILITIES include the following: The MES Analyst will be responsible for overseeing the adoption/development/and support of Ken's Foods Manufacturing Execution System. This person will be tasked with being a subject matter expert on all facets of the system and work to ensure adoption and best practices across the organization. They will act as the key liaison between the corporate and plant floor teams, the technical development team, and the senior management team. They will work to provide training and assistance with the MES system. MES & Ignition Platform Support Administer, configure, and support the Ignition platform for manufacturing execution and operational visibility. Develop and maintain Ignition projects, including: Production dashboards Downtime tracking OEE monitoring Recipe management Electronic batch records Traceability applications Quality and production reporting Troubleshoot MES and Ignition-related issues affecting manufacturing operations. Manage system integrations between Ignition, PLCs, SCADA systems, historians, ERP systems, and databases. Support gateway administration, tag management, alarming, scripting, and user security within Ignition. Manufacturing & Operations Support Partner with operations, QA, maintenance, engineering, and IT teams to improve manufacturing efficiency and data accuracy. Analyze manufacturing data to identify trends, bottlenecks, downtime causes, and process improvement opportunities. Support digital transformation initiatives and plant-floor automation projects. Ensure MES functionality aligns with food safety, traceability, and regulatory compliance requirements. Assist in standardizing manufacturing processes across multiple production lines or facilities. Reporting & Data Management Create and maintain SQL queries, reports, KPIs, and production analytics. Develop real-time dashboards and visualizations for plant operations and leadership teams. Support historical data collection and reporting for audits, investigations, and compliance tracking. Validate manufacturing data integrity and troubleshoot data flow issues. Compliance & Documentation Maintain documentation for MES configurations, SOPs, workflows, validation protocols, and system changes. Support compliance with FDA, USDA, HACCP, SQF, GMP, and internal quality standards. Participate in change management, system testing, validation, and deployment activities. Assist with user training and development of work instructions. Required Qualifications • Deep understanding of Ignition or similar MES. • Understanding of manufacturing operations including batching, packaging, filling, mixing, and material traceability. • Familiarity with industrial automation systems and controls architecture. • Strong troubleshooting, analytical, and communication skills. • Lean Manufacturing or Six Sigma experience. • Experience supporting multi-site manufacturing operations. Education and/or Experience • Bachelor's degree in Engineering, Information Systems, Computer Science, Industrial Technology, Food Science, or related field. • 3+ years of MES, SCADA, or manufacturing systems experience in a production environment. • Hands-on experience with the Ignition platform by Inductive Automation or similar MES. • Experience in food and/or beverage manufacturing strongly preferred. Work Authorization Notice: Please note that we do not provide visa sponsorship or immigration support for this position. Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship. The salary for this position is determined by a combination of experience, skills, and education level. The compensation range is $110K-135k annually.
City/State Virginia Beach, VA Work Shift First (Days) Overview: Sentara is hiring for a Senior Specialty Infrastructure Engineer! This is a hybrid role. Opportunity for additional incentive! Overview Specialty Infrastructure engineering includes updating hardware required for maintenance of cloud, network, and telecommunication and any connectivity issues that could crop up, detecting system and application issues, and ensuring the smooth flow of data and voice throughout the organization. IT Specialty infrastructure engineers manage the security of computer systems, networks, telecommunication, and inter-application information transfers. They ensure optimum uptime for the complete network, telecom, cloud services, cloud storage, and cloud servers. The engineer also improves, plans capacity, and designs infrastructure engineering projects. An Experienced Professional applies practical knowledge of job areas typically obtained through advanced education and work experience. Responsibilities typically include: • Works independently with general supervision. • Problems faced are difficult but typically not complex. • May influence others within the job area through explanation of facts, policies, and practices. Education 5+ years of relevant experience with a Bachelor's degree(Required) or 7+ years of relevant experience without a Bachelor's degree(Required) Certification/Licensure CCNP Certification (Preferred) Experience We are looking for candidates with solid Cisco Catalyst route/switch experience. Knowledge of BGP routing would be a plus. Other pluses would be: Cisco/Fortinet Firewall experience Cisco Wireless and Juniper Mist Wireless experience Juniper Routing and switching configuration experience Physical Requirements Requires the ability to go on-site to Sentara sites to perform troubleshooting, installation, repair, and replacement of physical networking equipment. Valid driver's license required - Ability to operate a motor vehicle and drive distances of greater than 100 miles/3 - 4 hours as required Must be able to work in active construction sites with appropriate PPE Must be able to perform basic physical tasks such as lifting 25 - 50lbs, occasional ladder use, reading, nimbleness of hands for typing and writing Talroo-IT . Benefits: Caring For Your Family and Your Career • Medical, Dental, Vision plans • Adoption, Fertility and Surrogacy Reimbursement up to $10,000 • Paid Time Off and Sick Leave • Paid Parental & Family Caregiver Leave • Emergency Backup Care • Long-Term, Short-Term Disability, and Critical Illness plans • Life Insurance • 401k/403B with Employer Match • Tuition Assistance - $5,250/year and discounted educational opportunities through Guild Education • Student Debt Pay Down - $10,000 • Reimbursement for certifications and free access to complete CEUs and professional development • Pet Insurance • Legal Resources Plan • Colleagues may have the opportunity to earn an annual discretionary bonus if established system and employee eligibility criteria is met Sentara Independence provides quality outpatient services to the surrounding community. The facility includes an ambulance-accessible emergency room that is supported by board-certified physicians. Sentara Independence houses state-of-the-art medical equipment and highly-skilled physicians and staff. Sentara Independence is now an extension of the quality services at Sentara Virginia Beach General Hospital including advanced imaging and physical therapy. Sentara Health is an equal opportunity employer and prides itself on the diversity and inclusiveness of its close to an almost 30,000-member workforce. Diversity, inclusion, and belonging is a guiding principle of the organization to ensure its workforce reflects the communities it serves. In support of our mission "to improve health every day," this is a tobacco-free environment. For positions that are available as remote work, Sentara Health employs associates in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.
08/06/2026
Full time
City/State Virginia Beach, VA Work Shift First (Days) Overview: Sentara is hiring for a Senior Specialty Infrastructure Engineer! This is a hybrid role. Opportunity for additional incentive! Overview Specialty Infrastructure engineering includes updating hardware required for maintenance of cloud, network, and telecommunication and any connectivity issues that could crop up, detecting system and application issues, and ensuring the smooth flow of data and voice throughout the organization. IT Specialty infrastructure engineers manage the security of computer systems, networks, telecommunication, and inter-application information transfers. They ensure optimum uptime for the complete network, telecom, cloud services, cloud storage, and cloud servers. The engineer also improves, plans capacity, and designs infrastructure engineering projects. An Experienced Professional applies practical knowledge of job areas typically obtained through advanced education and work experience. Responsibilities typically include: • Works independently with general supervision. • Problems faced are difficult but typically not complex. • May influence others within the job area through explanation of facts, policies, and practices. Education 5+ years of relevant experience with a Bachelor's degree(Required) or 7+ years of relevant experience without a Bachelor's degree(Required) Certification/Licensure CCNP Certification (Preferred) Experience We are looking for candidates with solid Cisco Catalyst route/switch experience. Knowledge of BGP routing would be a plus. Other pluses would be: Cisco/Fortinet Firewall experience Cisco Wireless and Juniper Mist Wireless experience Juniper Routing and switching configuration experience Physical Requirements Requires the ability to go on-site to Sentara sites to perform troubleshooting, installation, repair, and replacement of physical networking equipment. Valid driver's license required - Ability to operate a motor vehicle and drive distances of greater than 100 miles/3 - 4 hours as required Must be able to work in active construction sites with appropriate PPE Must be able to perform basic physical tasks such as lifting 25 - 50lbs, occasional ladder use, reading, nimbleness of hands for typing and writing Talroo-IT . Benefits: Caring For Your Family and Your Career • Medical, Dental, Vision plans • Adoption, Fertility and Surrogacy Reimbursement up to $10,000 • Paid Time Off and Sick Leave • Paid Parental & Family Caregiver Leave • Emergency Backup Care • Long-Term, Short-Term Disability, and Critical Illness plans • Life Insurance • 401k/403B with Employer Match • Tuition Assistance - $5,250/year and discounted educational opportunities through Guild Education • Student Debt Pay Down - $10,000 • Reimbursement for certifications and free access to complete CEUs and professional development • Pet Insurance • Legal Resources Plan • Colleagues may have the opportunity to earn an annual discretionary bonus if established system and employee eligibility criteria is met Sentara Independence provides quality outpatient services to the surrounding community. The facility includes an ambulance-accessible emergency room that is supported by board-certified physicians. Sentara Independence houses state-of-the-art medical equipment and highly-skilled physicians and staff. Sentara Independence is now an extension of the quality services at Sentara Virginia Beach General Hospital including advanced imaging and physical therapy. Sentara Health is an equal opportunity employer and prides itself on the diversity and inclusiveness of its close to an almost 30,000-member workforce. Diversity, inclusion, and belonging is a guiding principle of the organization to ensure its workforce reflects the communities it serves. In support of our mission "to improve health every day," this is a tobacco-free environment. For positions that are available as remote work, Sentara Health employs associates in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.
Bitsoft International, Inc
King Of Prussia, Pennsylvania
Job Title: AWS Data Engineer (Healthcare LLM APIs Clinical Prediction Models) Location: 100% Remote (U.S. Only No California) and Work Hours: EST Business Hours Duration: 6-12+ Months Rate: $Market/Hour Required Skills: Data engineering: Production-grade pipeline code, not notebooks. Strong testing discipline with developing deterministic, idempotent, re-runnable jobs. AWS data stack: Deep hands-on experience with S3 (layout design, lifecycle policies, storage class economics at image scale), AWS Glue and/or Spark on EMR, Athena, Step Functions, Lambda, and AWS Batch. SQL and data modeling: Complex temporal joins, point-in-time correctness, and the discipline to avoid label leakage in time-series clinical data. Data quality and lineage: Validation frameworks, schema enforcement, and versioned datasets. AWS security and governance: IAM policy design, KMS, VPC endpoints and Private Link, and working inside a HIPAA-eligible architecture with a BAA in place. Desirable Skills: Healthcare data formats and standards: DICOM, FHIR, HL7v2, OMOP CDM, and the practical realities of clinical coding (ICD, LOINC, RxNorm, SNOMED). Medical imaging handling: pydicom, OpenSlide, and the basics of WSI pyramid structure and tiling. Infrastructure as code (Terraform) development. Containerization and CI/CD: Docker, ECR, and a mainstream CI system. Enough familiarity with LLM APIs and multimodal payload construction. Nice to Have: Prior work on clinical prediction models or healthcare ML datasets (MIMIC, eICU, or equivalent institutional data). Experience with AWS Health Imaging or Health Lake. Familiarity with de-identification tooling and re-identification risk assessment.
08/06/2026
Job Title: AWS Data Engineer (Healthcare LLM APIs Clinical Prediction Models) Location: 100% Remote (U.S. Only No California) and Work Hours: EST Business Hours Duration: 6-12+ Months Rate: $Market/Hour Required Skills: Data engineering: Production-grade pipeline code, not notebooks. Strong testing discipline with developing deterministic, idempotent, re-runnable jobs. AWS data stack: Deep hands-on experience with S3 (layout design, lifecycle policies, storage class economics at image scale), AWS Glue and/or Spark on EMR, Athena, Step Functions, Lambda, and AWS Batch. SQL and data modeling: Complex temporal joins, point-in-time correctness, and the discipline to avoid label leakage in time-series clinical data. Data quality and lineage: Validation frameworks, schema enforcement, and versioned datasets. AWS security and governance: IAM policy design, KMS, VPC endpoints and Private Link, and working inside a HIPAA-eligible architecture with a BAA in place. Desirable Skills: Healthcare data formats and standards: DICOM, FHIR, HL7v2, OMOP CDM, and the practical realities of clinical coding (ICD, LOINC, RxNorm, SNOMED). Medical imaging handling: pydicom, OpenSlide, and the basics of WSI pyramid structure and tiling. Infrastructure as code (Terraform) development. Containerization and CI/CD: Docker, ECR, and a mainstream CI system. Enough familiarity with LLM APIs and multimodal payload construction. Nice to Have: Prior work on clinical prediction models or healthcare ML datasets (MIMIC, eICU, or equivalent institutional data). Experience with AWS Health Imaging or Health Lake. Familiarity with de-identification tooling and re-identification risk assessment.
Principal Agentic AI Engineer Analog Design Automation Location: San Jose, CA or fully remote from any US location Job Summary We are seeking an experienced AI/ML Technical Leader to drive the development of next-generation AI-powered automation solutions for analog semiconductor design. This role combines deep expertise in analog custom layout, parasitic extraction, physical verification and simulation with modern Large Language Models (LLMs), agentic AI architectures, and software engineering. The ideal candidate will lead the design and implementation of intelligent AI agents that automate complex analog design and verification workflows, improve engineering productivity, and integrate seamlessly with existing EDA environments. This position requires a unique combination of semiconductor domain expertise, AI/ML knowledge, and software development experience. Key Responsibilities Design, develop, and deploy agentic AI workflows that automate analog semiconductor design and verification processes. Build AI agents leveraging existing Large Language Models (LLMs) to improve engineering productivity across analog development flows. Develop reusable AI Skills, MCP (Model Context Protocol) tools, and workflow orchestration components with an emphasis on efficient token utilization, context management, and scalability. Collaborate with analog design, layout, and physical verification teams to identify automation opportunities and deliver production-ready AI solutions. Develop robust software using Python and modern DevOps practices, including CI/CD pipelines, workflow automation, and version-controlled development. Integrate AI solutions with EDA environments using Tcl, Python, Rust and other scripting languages. Optimize AI workflows for performance, reliability, security, and cost efficiency. Lead architecture discussions and mentor engineers on AI-driven semiconductor automation technologies. Stay current with advances in Generative AI, LLMs, Agentic AI, and semiconductor design automation. Required Qualifications Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical discipline. 8+ years of experience in analog semiconductor development workflow automation. 8+ years of experience in physical verification, including signoff verification methodologies. 8+ years of experience developing high-speed analog custom layouts. Proven experience designing and implementing agentic AI workflows using existing Large Language Models (LLMs). Experience developing AI Skills, MCP tools, and agent orchestration frameworks with efficient token utilization strategies. Strong programming skills in Python. Experience with DevOps methodologies, CI/CD pipelines, software engineering best practices, and version control systems. Strong scripting experience using Tcl. Thorough understanding of: - Analog floorplanning - Device matching and analog layout techniques - EM/IR analysis and power planning - Parasitic RC extraction and tradeoff analysis - High-speed analog design methodologies - Simulation methods Preferred Qualifications Experience integrating AI solutions with commercial EDA tools such as Cadence, Synopsys, or Siemens EDA. Experience with Retrieval-Augmented Generation (RAG), vector databases, and AI knowledge management systems. Familiarity with Model Context Protocol (MCP) architecture and AI tool development. Experience deploying AI applications on cloud or hybrid computing platforms. Knowledge of modern LLM frameworks such as LangGraph, LangChain, Semantic Kernel, CrewAI, or AutoGen. Experience building production-grade AI systems with observability, monitoring, evaluation, and governance. Technical Skills Agentic AI Large Language Models (LLMs) MCP (Model Context Protocol) Python Tcl Rust DevOps and CI/CD Workflow orchestration Analog Custom Layout workflow Analog Design workflow
08/06/2026
Principal Agentic AI Engineer Analog Design Automation Location: San Jose, CA or fully remote from any US location Job Summary We are seeking an experienced AI/ML Technical Leader to drive the development of next-generation AI-powered automation solutions for analog semiconductor design. This role combines deep expertise in analog custom layout, parasitic extraction, physical verification and simulation with modern Large Language Models (LLMs), agentic AI architectures, and software engineering. The ideal candidate will lead the design and implementation of intelligent AI agents that automate complex analog design and verification workflows, improve engineering productivity, and integrate seamlessly with existing EDA environments. This position requires a unique combination of semiconductor domain expertise, AI/ML knowledge, and software development experience. Key Responsibilities Design, develop, and deploy agentic AI workflows that automate analog semiconductor design and verification processes. Build AI agents leveraging existing Large Language Models (LLMs) to improve engineering productivity across analog development flows. Develop reusable AI Skills, MCP (Model Context Protocol) tools, and workflow orchestration components with an emphasis on efficient token utilization, context management, and scalability. Collaborate with analog design, layout, and physical verification teams to identify automation opportunities and deliver production-ready AI solutions. Develop robust software using Python and modern DevOps practices, including CI/CD pipelines, workflow automation, and version-controlled development. Integrate AI solutions with EDA environments using Tcl, Python, Rust and other scripting languages. Optimize AI workflows for performance, reliability, security, and cost efficiency. Lead architecture discussions and mentor engineers on AI-driven semiconductor automation technologies. Stay current with advances in Generative AI, LLMs, Agentic AI, and semiconductor design automation. Required Qualifications Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical discipline. 8+ years of experience in analog semiconductor development workflow automation. 8+ years of experience in physical verification, including signoff verification methodologies. 8+ years of experience developing high-speed analog custom layouts. Proven experience designing and implementing agentic AI workflows using existing Large Language Models (LLMs). Experience developing AI Skills, MCP tools, and agent orchestration frameworks with efficient token utilization strategies. Strong programming skills in Python. Experience with DevOps methodologies, CI/CD pipelines, software engineering best practices, and version control systems. Strong scripting experience using Tcl. Thorough understanding of: - Analog floorplanning - Device matching and analog layout techniques - EM/IR analysis and power planning - Parasitic RC extraction and tradeoff analysis - High-speed analog design methodologies - Simulation methods Preferred Qualifications Experience integrating AI solutions with commercial EDA tools such as Cadence, Synopsys, or Siemens EDA. Experience with Retrieval-Augmented Generation (RAG), vector databases, and AI knowledge management systems. Familiarity with Model Context Protocol (MCP) architecture and AI tool development. Experience deploying AI applications on cloud or hybrid computing platforms. Knowledge of modern LLM frameworks such as LangGraph, LangChain, Semantic Kernel, CrewAI, or AutoGen. Experience building production-grade AI systems with observability, monitoring, evaluation, and governance. Technical Skills Agentic AI Large Language Models (LLMs) MCP (Model Context Protocol) Python Tcl Rust DevOps and CI/CD Workflow orchestration Analog Custom Layout workflow Analog Design workflow
Summary We are seeking a highly technical, hands-on IT Security Engineer to help build and mature the cybersecurity program of a food & beverage manufacturing organization. This role is ideal for a driven, detail-oriented engineer who enjoys hardening systems, securing networks, performing technical investigations, and working side-by-side with IT and OT teams to improve our security posture. You will be the primary "hands-on keyboard" technical resource supporting cybersecurity initiatives and will partner closely with our IT teams, and our MSSP SOC. Key Responsibilities Review alerts and escalations from the MSSP to validate severity, impact, and required actions. Conduct technical investigation steps and support containment, eradication, and recovery activities. Harden and secure Windows servers, Windows clients, virtual machines, and other IT infrastructure. Ensure secure configuration, deployment, and management of endpoint protection (SentinelOne). Collaborate with the IT infrastructure team to ensure secure configurations across firewalls, switches, and network segments. Support network security improvements such as segmentation, least privilege network access, and secure remote access. Perform firewall rule reviews and contribute to network hardening efforts. Support secure configuration of identity platforms. Enforce role-based access controls, privileged access hygiene, and identity hardening standards. Work with the MSSP to ensure vulnerability scans are properly executed and tuned. Validate findings, prioritize risk, and coordinate remediation work with system and network teams. Lead patching and configuration remediation efforts for high-risk assets. Work with developers to identify, prioritize, and fix security issues (OWASP Top 10). Conduct security reviews of applications and servers. Collaborate with OT engineers to understand legacy systems, PLCs, and plant-floor constraints and assist in implementation of OT network segmentation and ICS security controls. Actively monitor emerging threats affecting OT and IT environments. Conduct periodic threat modeling for high-risk applications and systems. Required Qualifications 5-8+ years of experience in IT security engineering, SOC, or incident response roles. Strong hands-on experience with: Windows Server and client security; Network and firewall security; Endpoint security tools; MFA and identity systems. Strong knowledge of Active Directory and identity security best practices. Practical experience hardening servers, endpoints, and network devices. Familiarity with log analysis and security event triage. Comfort working directly with SOC alerts and vulnerability scan reports. Understanding of security frameworks (NIST CSF, CIS Controls, SOC 2). Strong documentation habits and process-oriented mindset. Preferred Qualifications Experience in manufacturing, industrial, or OT/ICS environments. Working knowledge of PLCs, or ISA/IEC 62443 principles. Familiarity with Office 365 security configuration and best practices. Experience automating workflows using PowerShell or Python. Exposure to segmentation projects or Zero Trust principles. Relevant certifications: GSEC, GCED, GCIH, GDSA, GDAT, GICSP, GCIP, and GRID Work Authorization Notice: Please note that we do not provide visa sponsorship or immigration support for this position. Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship. The salary for this position is determined by a combination of experience, skills, and education level. The compensation range is $120K-130k annually.
08/06/2026
Full time
Summary We are seeking a highly technical, hands-on IT Security Engineer to help build and mature the cybersecurity program of a food & beverage manufacturing organization. This role is ideal for a driven, detail-oriented engineer who enjoys hardening systems, securing networks, performing technical investigations, and working side-by-side with IT and OT teams to improve our security posture. You will be the primary "hands-on keyboard" technical resource supporting cybersecurity initiatives and will partner closely with our IT teams, and our MSSP SOC. Key Responsibilities Review alerts and escalations from the MSSP to validate severity, impact, and required actions. Conduct technical investigation steps and support containment, eradication, and recovery activities. Harden and secure Windows servers, Windows clients, virtual machines, and other IT infrastructure. Ensure secure configuration, deployment, and management of endpoint protection (SentinelOne). Collaborate with the IT infrastructure team to ensure secure configurations across firewalls, switches, and network segments. Support network security improvements such as segmentation, least privilege network access, and secure remote access. Perform firewall rule reviews and contribute to network hardening efforts. Support secure configuration of identity platforms. Enforce role-based access controls, privileged access hygiene, and identity hardening standards. Work with the MSSP to ensure vulnerability scans are properly executed and tuned. Validate findings, prioritize risk, and coordinate remediation work with system and network teams. Lead patching and configuration remediation efforts for high-risk assets. Work with developers to identify, prioritize, and fix security issues (OWASP Top 10). Conduct security reviews of applications and servers. Collaborate with OT engineers to understand legacy systems, PLCs, and plant-floor constraints and assist in implementation of OT network segmentation and ICS security controls. Actively monitor emerging threats affecting OT and IT environments. Conduct periodic threat modeling for high-risk applications and systems. Required Qualifications 5-8+ years of experience in IT security engineering, SOC, or incident response roles. Strong hands-on experience with: Windows Server and client security; Network and firewall security; Endpoint security tools; MFA and identity systems. Strong knowledge of Active Directory and identity security best practices. Practical experience hardening servers, endpoints, and network devices. Familiarity with log analysis and security event triage. Comfort working directly with SOC alerts and vulnerability scan reports. Understanding of security frameworks (NIST CSF, CIS Controls, SOC 2). Strong documentation habits and process-oriented mindset. Preferred Qualifications Experience in manufacturing, industrial, or OT/ICS environments. Working knowledge of PLCs, or ISA/IEC 62443 principles. Familiarity with Office 365 security configuration and best practices. Experience automating workflows using PowerShell or Python. Exposure to segmentation projects or Zero Trust principles. Relevant certifications: GSEC, GCED, GCIH, GDSA, GDAT, GICSP, GCIP, and GRID Work Authorization Notice: Please note that we do not provide visa sponsorship or immigration support for this position. Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship. The salary for this position is determined by a combination of experience, skills, and education level. The compensation range is $120K-130k annually.
Systems Engineer II Collaboration & Endpoint Engineering We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service. Lennar has been recognized as a Fortune 500 company and consistently ranked among the top homebuilders in the United States. A Career that Empowers You to Build Your Future The Collaboration & Endpoint Engineer supports the planning, implementation, administration, and day-to-day operations of enterprise collaboration platforms, endpoint management systems, and virtual desktop infrastructure (VDI) serving over 12,000 endpoints across Windows, macOS, iOS, Android, and other devices. The role serves as a technical contributor and subject matter expert, ensuring seamless communication, security, and productivity across the enterprise. Your Responsibilities on the Team Collaboration & Productivity Platforms Administer and maintain enterprise collaboration platforms - including Microsoft Teams, Exchange Online, SharePoint, OneDrive, Purview, Zoom, and Box - ensuring availability, performance, security, and compliance. Support integration projects with IT and business stakeholders to streamline communication workflows. Develop and maintain system documentation, runbooks, and standard operating procedures. Identity & Directory Services Administer Active Directory and Microsoft Entra ID, including Group Policy, OU structures, hybrid identity, Conditional Access, RBAC, and directory synchronization via Entra Connect. Support identity governance initiatives including access reviews and joiner/mover/leaver lifecycle workflows. Troubleshoot identity and authentication issues - SSO, MFA, and federation - across hybrid environments. Endpoint Engineering & Management Administer Microsoft Intune for device management across Windows, macOS, iOS, and Android, including enrollment, configuration policies, app deployment, and Windows Autopilot provisioning. Support Virtual Desktop Infrastructure (VDI) environments including Azure Virtual Desktop (AVD), Citrix, or VMware Horizon for remote and hybrid workers. Maintain endpoint security baselines, CIS benchmarks, and hardening standards in partnership with security teams; enforce Microsoft Defender for Endpoint, BitLocker, and DLP policies. Manage endpoint patching and software updates using Intune, MECM/SCCM, or equivalent tooling to ensure timely vulnerability remediation. Support application packaging, deployment, and lifecycle for enterprise endpoint software, including scripting using PowerShell or similar tools. Monitor endpoint health, compliance posture, and fleet performance using telemetry and reporting. Support BYOD and corporate device programs, including conditional access enforcement and data separation policies via Intune App Protection Policies. AI Tools & Cross-Functional Support Assist with administration of enterprise AI tools including Claude (Anthropic), ChatGPT and CoPilot Enterprise, supporting licensing, configuration, user provisioning, and policy management. Partner with network, application, governance and security teams to support business requirements and enterprise architecture standards. Research emerging technologies across collaboration, AI, identity, and endpoint management and share findings with the team. Requirements Bachelor's degree in Computer Science, Information Technology, or related field - or equivalent work experience. 3-5+ years of experience in systems engineering or IT administration in enterprise environments. Hands-on experience administering Microsoft 365 platforms, including Teams, Exchange Online, SharePoint Online, Purview, Zoom, and Box. Experience with Microsoft Intune / Microsoft Endpoint Manager for MDM/MAM, including device enrollment, compliance policies, configuration profiles, and app deployment across Windows, macOS, iOS, and Android. Familiarity with VDI platforms such as Azure Virtual Desktop (AVD), Citrix, or VMware Horizon. Scripting and automation experience using PowerShell, Python, or similar tools, including endpoint provisioning and application management. Familiarity with endpoint security tooling including Microsoft Defender for Endpoint, BitLocker, and Intune-enforced compliance policies. Working knowledge of Active Directory and Microsoft Entra ID, including GPO management, hybrid identity, and Conditional Access. Relevant certifications a plus: Microsoft 365 Certified (MD-102), Azure Administrator (AZ-104), or equivalent. Strong troubleshooting and problem-solving skills across collaboration and endpoint environments. Experience with ServiceNow or similar ITSM platforms. Clear written and verbal communication skills, with ability to explain technical concepts to non-technical stakeholders. Life at Lennar At Lennar, we are committed to fostering a supportive and enriching environment for our Associates, offering a comprehensive array of benefits designed to enhance their well-being and professional growth. Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision coverage, ensuring their health needs are well taken care of. Our 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%, helps secure their financial future, while Paid Parental Leave and an Associate Assistance Plan provide essential support during life's critical moments. To further support our Associates, we provide an Education Assistance Program and up to $30,000 in Adoption Assistance, underscoring our commitment to their diverse needs and aspirations. From the moment of hire, they can enjoy up to three weeks of vacation annually, alongside generous Holiday, Sick Leave, and Personal Day policies. Additionally, we offer a New Hire Referral Bonus Program, significant Home Purchase Discounts, and unique opportunities such as the Everyone's Included Day. At Lennar, we believe in investing in our Associates, empowering them to thrive both personally and professionally. Lennar Associates will have access to these benefits as outlined by Lennar's policies and applicable plan terms. Visit to view our suite of benefits. Join the fun and follow us on social media to see what's happening at our company, and don't forget to connect with us on Lennar: Overview LinkedIn for the latest job opportunities. Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.
08/06/2026
Full time
Systems Engineer II Collaboration & Endpoint Engineering We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service. Lennar has been recognized as a Fortune 500 company and consistently ranked among the top homebuilders in the United States. A Career that Empowers You to Build Your Future The Collaboration & Endpoint Engineer supports the planning, implementation, administration, and day-to-day operations of enterprise collaboration platforms, endpoint management systems, and virtual desktop infrastructure (VDI) serving over 12,000 endpoints across Windows, macOS, iOS, Android, and other devices. The role serves as a technical contributor and subject matter expert, ensuring seamless communication, security, and productivity across the enterprise. Your Responsibilities on the Team Collaboration & Productivity Platforms Administer and maintain enterprise collaboration platforms - including Microsoft Teams, Exchange Online, SharePoint, OneDrive, Purview, Zoom, and Box - ensuring availability, performance, security, and compliance. Support integration projects with IT and business stakeholders to streamline communication workflows. Develop and maintain system documentation, runbooks, and standard operating procedures. Identity & Directory Services Administer Active Directory and Microsoft Entra ID, including Group Policy, OU structures, hybrid identity, Conditional Access, RBAC, and directory synchronization via Entra Connect. Support identity governance initiatives including access reviews and joiner/mover/leaver lifecycle workflows. Troubleshoot identity and authentication issues - SSO, MFA, and federation - across hybrid environments. Endpoint Engineering & Management Administer Microsoft Intune for device management across Windows, macOS, iOS, and Android, including enrollment, configuration policies, app deployment, and Windows Autopilot provisioning. Support Virtual Desktop Infrastructure (VDI) environments including Azure Virtual Desktop (AVD), Citrix, or VMware Horizon for remote and hybrid workers. Maintain endpoint security baselines, CIS benchmarks, and hardening standards in partnership with security teams; enforce Microsoft Defender for Endpoint, BitLocker, and DLP policies. Manage endpoint patching and software updates using Intune, MECM/SCCM, or equivalent tooling to ensure timely vulnerability remediation. Support application packaging, deployment, and lifecycle for enterprise endpoint software, including scripting using PowerShell or similar tools. Monitor endpoint health, compliance posture, and fleet performance using telemetry and reporting. Support BYOD and corporate device programs, including conditional access enforcement and data separation policies via Intune App Protection Policies. AI Tools & Cross-Functional Support Assist with administration of enterprise AI tools including Claude (Anthropic), ChatGPT and CoPilot Enterprise, supporting licensing, configuration, user provisioning, and policy management. Partner with network, application, governance and security teams to support business requirements and enterprise architecture standards. Research emerging technologies across collaboration, AI, identity, and endpoint management and share findings with the team. Requirements Bachelor's degree in Computer Science, Information Technology, or related field - or equivalent work experience. 3-5+ years of experience in systems engineering or IT administration in enterprise environments. Hands-on experience administering Microsoft 365 platforms, including Teams, Exchange Online, SharePoint Online, Purview, Zoom, and Box. Experience with Microsoft Intune / Microsoft Endpoint Manager for MDM/MAM, including device enrollment, compliance policies, configuration profiles, and app deployment across Windows, macOS, iOS, and Android. Familiarity with VDI platforms such as Azure Virtual Desktop (AVD), Citrix, or VMware Horizon. Scripting and automation experience using PowerShell, Python, or similar tools, including endpoint provisioning and application management. Familiarity with endpoint security tooling including Microsoft Defender for Endpoint, BitLocker, and Intune-enforced compliance policies. Working knowledge of Active Directory and Microsoft Entra ID, including GPO management, hybrid identity, and Conditional Access. Relevant certifications a plus: Microsoft 365 Certified (MD-102), Azure Administrator (AZ-104), or equivalent. Strong troubleshooting and problem-solving skills across collaboration and endpoint environments. Experience with ServiceNow or similar ITSM platforms. Clear written and verbal communication skills, with ability to explain technical concepts to non-technical stakeholders. Life at Lennar At Lennar, we are committed to fostering a supportive and enriching environment for our Associates, offering a comprehensive array of benefits designed to enhance their well-being and professional growth. Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision coverage, ensuring their health needs are well taken care of. Our 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%, helps secure their financial future, while Paid Parental Leave and an Associate Assistance Plan provide essential support during life's critical moments. To further support our Associates, we provide an Education Assistance Program and up to $30,000 in Adoption Assistance, underscoring our commitment to their diverse needs and aspirations. From the moment of hire, they can enjoy up to three weeks of vacation annually, alongside generous Holiday, Sick Leave, and Personal Day policies. Additionally, we offer a New Hire Referral Bonus Program, significant Home Purchase Discounts, and unique opportunities such as the Everyone's Included Day. At Lennar, we believe in investing in our Associates, empowering them to thrive both personally and professionally. Lennar Associates will have access to these benefits as outlined by Lennar's policies and applicable plan terms. Visit to view our suite of benefits. Join the fun and follow us on social media to see what's happening at our company, and don't forget to connect with us on Lennar: Overview LinkedIn for the latest job opportunities. Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.
The Senior Cybersecurity Engineer leverages in-depth understanding and experience in cybersecurity requirements development, cyber threat analysis, cyber engineering, cyber systems architecture development and cybersecurity policy development experience. to facilitate security engineering tasks in support of the customer's system security objectives. Essential Job Functions: Develop cybersecurity requirements, policy standards, best practices, guidance and procedures applied to combat systems. Conduct cybersecurity related research, analysis and coordination activities in support of DOD cyber assurance. Lead working groups to develop cybersecurity strategies to meet emerging threats. Perform cybersecurity system engineering design, analysis and documentation of combat systems. Required Skills: Due to the sensitivity of customer related requirements, U.S. Citizenship is required. High school diploma with a minimum of 13 years of experience. Must possess current TS Clearance and be SCI eligible. Requires a minimum of 5 years program specific security engineering experience working with Navy afloat/tactical combat systems or 13 years of general security engineering experience. IAT Level II or Level III certification in accordance with DoD 8570.01 or successor. Possess the ability to: Develop cybersecurity requirements, policy standards, best practices, and guidance and procedures for combat systems. Conduct cybersecurity related research, analysis and coordination activities in support of DOD cyber assurance and policy efforts are multiple classification levels. Lead working groups to develop cybersecurity strategies to meet emerging threats. Perform analysis of cybersecurity, intelligence and information technology policy gaps for combat systems. Perform cybersecurity system engineering design, analysis and documentation of combat systems. Develop cybersecurity risk assessment analysis and risk mitigation plans for combat systems. Develop documentation of cybersecurity requirements, gap analysis, threat analysis, system engineering, risk assessment and mitigation for combat systems. Develop or use MBSE models to perform cybersecurity analysis. Familiarity with cybersecurity requirements, policy standards, best practices, guidance and procedures applied to combat systems. Understanding of cybersecurity, military system specifications, DoD IA policies for both Land Based and afloat/tactical systems, and the ability to communicate clearly and succinctly in written and oral presentations. Must be proficient in the use of the MS Office Suite (MS Word, MS Excel, MS Visio) and other tools to develop required system documentation. Desired Skills: Recent cybersecurity engineering experience. Familiarity with Naval Combat Systems. Bachelor's (BS/BA) degree.
08/06/2026
Full time
The Senior Cybersecurity Engineer leverages in-depth understanding and experience in cybersecurity requirements development, cyber threat analysis, cyber engineering, cyber systems architecture development and cybersecurity policy development experience. to facilitate security engineering tasks in support of the customer's system security objectives. Essential Job Functions: Develop cybersecurity requirements, policy standards, best practices, guidance and procedures applied to combat systems. Conduct cybersecurity related research, analysis and coordination activities in support of DOD cyber assurance. Lead working groups to develop cybersecurity strategies to meet emerging threats. Perform cybersecurity system engineering design, analysis and documentation of combat systems. Required Skills: Due to the sensitivity of customer related requirements, U.S. Citizenship is required. High school diploma with a minimum of 13 years of experience. Must possess current TS Clearance and be SCI eligible. Requires a minimum of 5 years program specific security engineering experience working with Navy afloat/tactical combat systems or 13 years of general security engineering experience. IAT Level II or Level III certification in accordance with DoD 8570.01 or successor. Possess the ability to: Develop cybersecurity requirements, policy standards, best practices, and guidance and procedures for combat systems. Conduct cybersecurity related research, analysis and coordination activities in support of DOD cyber assurance and policy efforts are multiple classification levels. Lead working groups to develop cybersecurity strategies to meet emerging threats. Perform analysis of cybersecurity, intelligence and information technology policy gaps for combat systems. Perform cybersecurity system engineering design, analysis and documentation of combat systems. Develop cybersecurity risk assessment analysis and risk mitigation plans for combat systems. Develop documentation of cybersecurity requirements, gap analysis, threat analysis, system engineering, risk assessment and mitigation for combat systems. Develop or use MBSE models to perform cybersecurity analysis. Familiarity with cybersecurity requirements, policy standards, best practices, guidance and procedures applied to combat systems. Understanding of cybersecurity, military system specifications, DoD IA policies for both Land Based and afloat/tactical systems, and the ability to communicate clearly and succinctly in written and oral presentations. Must be proficient in the use of the MS Office Suite (MS Word, MS Excel, MS Visio) and other tools to develop required system documentation. Desired Skills: Recent cybersecurity engineering experience. Familiarity with Naval Combat Systems. Bachelor's (BS/BA) degree.
Position Title: Senior Staff Systems Engineer - B2B Communications Description: Senior Staff Systems Engineer - B2B Communications Location: Beachwood, OH Shift: Monday - Friday 8am - 5pm (Onsite 4 days a week) Senior Staff Systems Engineer - B2B Communications is responsible for working with various application owners, project leaders, vendors and customers responsible for establishing data exchange connections with trading partners (customers, vendors, and logistics companies) to facilitate integration of Penske and trading partner's applications and data. They need to configure, test, and provide on-going support for these connections. They are considered technical experts and are expected to work with cross functional teams to make technology recommendations and analyze system and infrastructure issues. Assist, and in some cases own, the setting of new infrastructure standards and best practices for designing complex infrastructure landscapes. Senior Staff Systems Engineer - B2B Communications evaluates and researches infrastructure technology H/W and S/W solutions and develops frameworks and recommends integration and deployment strategies based on business needs. They will be required to lead large IT based projects mainly focusing on new business startups, newly introduced technologies and system upgrades. Their efforts often require cross-functional involvement with various teams within and outside of IT. They are the owner for the development of standards and best practices and are a liaison between Technology Services and the rest of the IT department. Data Exchange Senior Staff Systems Engineer takes a broad picture approach and aligns the technology strategy with the business strategy and infrastructure roadmaps. Major Responsibilities: • Architecting, managing, maintenance, and support of Company's 3rd Party data exchange and integration technologies. • Ensures proper change management processes are always followed • Analyze system / software performance Adjust based on any identified problems Insure it is utilized at its highest capacity • Perform disaster recovery and testing • Implement Automation of tasks leveraging PowerShell / PowerCli / BASH • Provide project planning with the ability to follow organizational processes • Consistently communicate with client groups to determine needs • Consistent communication of project status to management and customers • Communications skills both written and verbal throughout a project and when providing support • Other duties / projects as assigned by the supervisor / manager Qualifications: • Required experience in the following hardware / software: Windows / RedHat Server operating systems Network Interface setup and configurations Microsoft Office Applications (including Visio) Required experience in the following data exchange protocols/tools: • SFTP, FTP, AS2, HTTP/HTTPS, API • Ability to analyze connection logs (either Penske software or those provided by a trading partner) • Beneficial to have experience in OFTP2, MQ • Beneficial to have experience in Kermit, BASH, Curl, Linux and Windows scripting languages • Security (certificates, keys, ciphers, protocol negotiation) • Basic communications infrastructure components (DNS, forward and reverse proxies) • Basic understanding of TCP/IP protocol network topology • Connection debugging tools (TCPDUMP, Wireshark) • Preferred experience in the following hardware / software: 3rd Party warehousing and transportation software products 3rd Party Data Exchange software from Cleo and Software AG • Soft Skills Requirements: Written and oral interpersonal communication skills Strong analytical skills and attention to detail Critical thinking Ability to provide coaching/mentoring to junior level associates Lead cross-functional teams for small and mid-size projects Ability to resolve conflict within a work group Problem solving Customer focus Ability to work independently or on a team Time management and prioritization Project management • Education and Experience Requirements: Bachelor's degree or equivalent experience Green Belt, Black Belt, Lean, or PMP certification preferred 7 years of functional and technical experience which should include at least 2 years of broad infrastructure design experience • Regular, predictable, full attendance is an essential function of the job • Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required. Physical Requirements: • The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • The associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines. • While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg. • Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus. Penske is an Equal Opportunity Employer. About Penske Logistics Penske Logistics engineers state-of-the-art transportation, warehousing and freight management solutions that deliver powerful business results for market-leading companies. With operations in North America, South America, Europe and Asia, Penske and its associates help businesses move forward by increasing visibility and driving down supply-chain costs. Visit Penske Logistics to learn more. Job Category: Information Technology Job Function: Software Engineering Job Family: Information Technology Address: 3000 Auburn Dr Primary Location: US-OH-Beachwood Employer: Penske Logistics LLC Req ID: Requirements PI
08/06/2026
Full time
Position Title: Senior Staff Systems Engineer - B2B Communications Description: Senior Staff Systems Engineer - B2B Communications Location: Beachwood, OH Shift: Monday - Friday 8am - 5pm (Onsite 4 days a week) Senior Staff Systems Engineer - B2B Communications is responsible for working with various application owners, project leaders, vendors and customers responsible for establishing data exchange connections with trading partners (customers, vendors, and logistics companies) to facilitate integration of Penske and trading partner's applications and data. They need to configure, test, and provide on-going support for these connections. They are considered technical experts and are expected to work with cross functional teams to make technology recommendations and analyze system and infrastructure issues. Assist, and in some cases own, the setting of new infrastructure standards and best practices for designing complex infrastructure landscapes. Senior Staff Systems Engineer - B2B Communications evaluates and researches infrastructure technology H/W and S/W solutions and develops frameworks and recommends integration and deployment strategies based on business needs. They will be required to lead large IT based projects mainly focusing on new business startups, newly introduced technologies and system upgrades. Their efforts often require cross-functional involvement with various teams within and outside of IT. They are the owner for the development of standards and best practices and are a liaison between Technology Services and the rest of the IT department. Data Exchange Senior Staff Systems Engineer takes a broad picture approach and aligns the technology strategy with the business strategy and infrastructure roadmaps. Major Responsibilities: • Architecting, managing, maintenance, and support of Company's 3rd Party data exchange and integration technologies. • Ensures proper change management processes are always followed • Analyze system / software performance Adjust based on any identified problems Insure it is utilized at its highest capacity • Perform disaster recovery and testing • Implement Automation of tasks leveraging PowerShell / PowerCli / BASH • Provide project planning with the ability to follow organizational processes • Consistently communicate with client groups to determine needs • Consistent communication of project status to management and customers • Communications skills both written and verbal throughout a project and when providing support • Other duties / projects as assigned by the supervisor / manager Qualifications: • Required experience in the following hardware / software: Windows / RedHat Server operating systems Network Interface setup and configurations Microsoft Office Applications (including Visio) Required experience in the following data exchange protocols/tools: • SFTP, FTP, AS2, HTTP/HTTPS, API • Ability to analyze connection logs (either Penske software or those provided by a trading partner) • Beneficial to have experience in OFTP2, MQ • Beneficial to have experience in Kermit, BASH, Curl, Linux and Windows scripting languages • Security (certificates, keys, ciphers, protocol negotiation) • Basic communications infrastructure components (DNS, forward and reverse proxies) • Basic understanding of TCP/IP protocol network topology • Connection debugging tools (TCPDUMP, Wireshark) • Preferred experience in the following hardware / software: 3rd Party warehousing and transportation software products 3rd Party Data Exchange software from Cleo and Software AG • Soft Skills Requirements: Written and oral interpersonal communication skills Strong analytical skills and attention to detail Critical thinking Ability to provide coaching/mentoring to junior level associates Lead cross-functional teams for small and mid-size projects Ability to resolve conflict within a work group Problem solving Customer focus Ability to work independently or on a team Time management and prioritization Project management • Education and Experience Requirements: Bachelor's degree or equivalent experience Green Belt, Black Belt, Lean, or PMP certification preferred 7 years of functional and technical experience which should include at least 2 years of broad infrastructure design experience • Regular, predictable, full attendance is an essential function of the job • Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required. Physical Requirements: • The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • The associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines. • While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg. • Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus. Penske is an Equal Opportunity Employer. About Penske Logistics Penske Logistics engineers state-of-the-art transportation, warehousing and freight management solutions that deliver powerful business results for market-leading companies. With operations in North America, South America, Europe and Asia, Penske and its associates help businesses move forward by increasing visibility and driving down supply-chain costs. Visit Penske Logistics to learn more. Job Category: Information Technology Job Function: Software Engineering Job Family: Information Technology Address: 3000 Auburn Dr Primary Location: US-OH-Beachwood Employer: Penske Logistics LLC Req ID: Requirements PI
Position - Security Engineer Location - Fort Worth, TX (Hybrid) Job ID - 178604 Position Overview We are seeking a Directory Services Engineer to support critical cybersecurity initiatives focused on identity infrastructure security, Tier 0 protection, and resiliency. This role is hands-on and execution-focused, working across Active Directory, Microsoft Entra ID (Azure AD), and hybrid identity environments. The engineer will play a key role in hardening identity systems, identifying attack paths, and implementing remediation actions to reduce enterprise risk. Key Responsibilities Identity Engineering & Operations • Administer and support Active Directory (AD) and Microsoft Entra ID (Azure AD) environments. • Implement and manage Azure AD Connect / Entra Connect for hybrid identity synchronization. • Support domain controllers, forests, trusts, and authentication services. • Execute identity-related changes, configurations, and deployments. Security Hardening & Tier 0 Protection • Implement security controls for Tier 0 assets (AD, Entra ID, domain controllers). • Perform system hardening in alignment with cybersecurity standards. • Support initiatives for privileged access restrictions and identity protection. • Remediate identified security gaps and misconfigurations. Attack Path Identification & Remediation • Analyze and identify identity-based attack paths across on-prem and cloud environments. • Support remediation efforts to eliminate: o Privilege escalation paths o Excessive permissions o Identity misconfigurations • Partner with cybersecurity teams to reduce identity attack surface. Resiliency & Recovery Support • Implement and validate Active Directory forest recovery procedures. • Support backup, restore, and testing activities for identity systems. • Assist in improving resiliency and recoverability of Tier 0 infrastructure. Integration Support • Assist in integration and configuration of identity with: o MFA / Conditional Access o PAM (e.g., CyberArk) o IGA (e.g., Saviynt) o Secrets and certificate platforms (e.g., HashiCorp, Keyfactor) • Support identity governance and access control initiatives. Automation & Execution • Use PowerShell and scripting to automate identity tasks and remediation. • Execute predefined engineering tasks, runbooks, and operational procedures. • Document configurations, changes, and implementation steps. Job Description: Operationalize automated data discovery, classification, and inventory; apply sensitivity labels and consistent taxonomy across data stores, pipelines, and collaboration systems. Engineer DSPM capabilities with tools (e.g., Securiti, BigID) to surface data posture risks (overexposure, shadow data, stale sensitive data) and drive remediation workflows. Implement and support encryption, tokenization, masking, anonymization/pseudonymization for data at rest and in transit; integrate with cloud key management systems and enforce approved cryptographic standards; define crypto baselines and policy-as-code guardrails. Configure and govern access controls with RBAC/ABAC and purpose-based authorization; perform least-privilege and fine-grained access reviews across data platforms. Deploy, tune, and operate DLP and DAM solutions (e.g., Microsoft Purview DLP, Imperva/Guardium); build detections for PII/PCI/PHI and reduce false positives with policy and context improvements. Integrate and tune UEBA and Insider Risk signals to detect anomalous data access and exfiltration, partner on response workflows and preventive control changes. Integrate data protection telemetry with SIEM/SOAR; build detections, correlation rules, and automated response playbooks for data-related threats and policy violations. Implement data minimization and retention/ROT enforcement patterns; automate monitoring of lifecycle actions (archive, delete, redact) aligned to policy and legal holds. Implement DSAR (data subject access request) orchestration and fulfillment with SLA monitoring; automate data collection, redaction, and secure delivery with audit trails. Contribute to cookie/tag governance and catalog assurance; validate consent signals, storage durations, and vendor script behavior against policy. Support privacy platform capabilities and integrate with identity, ticketing, data catalogs/lineage, and evidence repositories. Embed data protection and privacy-by-design controls into services and CI/CD (pre-commit/CI privacy code scanning, secret scanning, schema checks for sensitive fields, data egress policies). Produce compliance evidence and reports for GDPR/CCPA/CPRA, PCI DSS, HIPAA, and internal audits; maintain controls health dashboards, regulatory tracking, and program KPIs. Investigate data-related incidents and privacy events in partnership with IR/SOC/Privacy Office. Collect artifacts, support forensics, document findings, and drive preventive engineering fixes. Conduct platform hardening and vulnerability remediation for data control tooling (misconfigurations, exposed buckets, weak crypto, excessive permissions). Participate in red teaming/tabletop exercises for data scenarios (insider misuse, public link exposures, unintended AI training data); translate findings into control improvements. Partner with Cybersecurity, Privacy Office, Enterprise Data, Legal, and product/platform teams to align designs and deliver privacy- and data protection-by-design outcomes. Document engineering patterns, runbooks, and reference architectures; create training and technical guidance that strengthen secure data handling practices across teams. Communicate clearly and concisely with technical and non?technical audiences - summarize incidents, risks, and recommended actions with accurate, complete context. Required Skills & Experience 3-7 years of hands-on experience in: Active Directory administration/engineering Microsoft Entra ID (Azure AD) Azure AD Connect / hybrid identity environments Experience with: AD security hardening Identity-related attack techniques (privilege escalation, lateral movement) Attack path analysis or remediation activities Strong working knowledge of: Tier 0 concepts and identity as a control plane Authentication protocols (Kerberos, NTLM, SAML, OAuth) Preferred Experience Exposure to: CyberArk or other PAM tools Saviynt or similar IGA platforms Ping Identity or federation solutions HashiCorp Vault, Keyfactor, or PKI environments Experience supporting AD forest recovery exercises Familiarity with Zero Trust principles Key Traits for Success Strong execution and delivery focus Security and resiliency mindset Ability to quickly identify and remediate risks Works effectively in a cross-functional cybersecurity environment Comfortable working in fast-paced, project-driven (contract) engagements Pay Range: $65 - $70/Hr The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work.
08/06/2026
Full time
Position - Security Engineer Location - Fort Worth, TX (Hybrid) Job ID - 178604 Position Overview We are seeking a Directory Services Engineer to support critical cybersecurity initiatives focused on identity infrastructure security, Tier 0 protection, and resiliency. This role is hands-on and execution-focused, working across Active Directory, Microsoft Entra ID (Azure AD), and hybrid identity environments. The engineer will play a key role in hardening identity systems, identifying attack paths, and implementing remediation actions to reduce enterprise risk. Key Responsibilities Identity Engineering & Operations • Administer and support Active Directory (AD) and Microsoft Entra ID (Azure AD) environments. • Implement and manage Azure AD Connect / Entra Connect for hybrid identity synchronization. • Support domain controllers, forests, trusts, and authentication services. • Execute identity-related changes, configurations, and deployments. Security Hardening & Tier 0 Protection • Implement security controls for Tier 0 assets (AD, Entra ID, domain controllers). • Perform system hardening in alignment with cybersecurity standards. • Support initiatives for privileged access restrictions and identity protection. • Remediate identified security gaps and misconfigurations. Attack Path Identification & Remediation • Analyze and identify identity-based attack paths across on-prem and cloud environments. • Support remediation efforts to eliminate: o Privilege escalation paths o Excessive permissions o Identity misconfigurations • Partner with cybersecurity teams to reduce identity attack surface. Resiliency & Recovery Support • Implement and validate Active Directory forest recovery procedures. • Support backup, restore, and testing activities for identity systems. • Assist in improving resiliency and recoverability of Tier 0 infrastructure. Integration Support • Assist in integration and configuration of identity with: o MFA / Conditional Access o PAM (e.g., CyberArk) o IGA (e.g., Saviynt) o Secrets and certificate platforms (e.g., HashiCorp, Keyfactor) • Support identity governance and access control initiatives. Automation & Execution • Use PowerShell and scripting to automate identity tasks and remediation. • Execute predefined engineering tasks, runbooks, and operational procedures. • Document configurations, changes, and implementation steps. Job Description: Operationalize automated data discovery, classification, and inventory; apply sensitivity labels and consistent taxonomy across data stores, pipelines, and collaboration systems. Engineer DSPM capabilities with tools (e.g., Securiti, BigID) to surface data posture risks (overexposure, shadow data, stale sensitive data) and drive remediation workflows. Implement and support encryption, tokenization, masking, anonymization/pseudonymization for data at rest and in transit; integrate with cloud key management systems and enforce approved cryptographic standards; define crypto baselines and policy-as-code guardrails. Configure and govern access controls with RBAC/ABAC and purpose-based authorization; perform least-privilege and fine-grained access reviews across data platforms. Deploy, tune, and operate DLP and DAM solutions (e.g., Microsoft Purview DLP, Imperva/Guardium); build detections for PII/PCI/PHI and reduce false positives with policy and context improvements. Integrate and tune UEBA and Insider Risk signals to detect anomalous data access and exfiltration, partner on response workflows and preventive control changes. Integrate data protection telemetry with SIEM/SOAR; build detections, correlation rules, and automated response playbooks for data-related threats and policy violations. Implement data minimization and retention/ROT enforcement patterns; automate monitoring of lifecycle actions (archive, delete, redact) aligned to policy and legal holds. Implement DSAR (data subject access request) orchestration and fulfillment with SLA monitoring; automate data collection, redaction, and secure delivery with audit trails. Contribute to cookie/tag governance and catalog assurance; validate consent signals, storage durations, and vendor script behavior against policy. Support privacy platform capabilities and integrate with identity, ticketing, data catalogs/lineage, and evidence repositories. Embed data protection and privacy-by-design controls into services and CI/CD (pre-commit/CI privacy code scanning, secret scanning, schema checks for sensitive fields, data egress policies). Produce compliance evidence and reports for GDPR/CCPA/CPRA, PCI DSS, HIPAA, and internal audits; maintain controls health dashboards, regulatory tracking, and program KPIs. Investigate data-related incidents and privacy events in partnership with IR/SOC/Privacy Office. Collect artifacts, support forensics, document findings, and drive preventive engineering fixes. Conduct platform hardening and vulnerability remediation for data control tooling (misconfigurations, exposed buckets, weak crypto, excessive permissions). Participate in red teaming/tabletop exercises for data scenarios (insider misuse, public link exposures, unintended AI training data); translate findings into control improvements. Partner with Cybersecurity, Privacy Office, Enterprise Data, Legal, and product/platform teams to align designs and deliver privacy- and data protection-by-design outcomes. Document engineering patterns, runbooks, and reference architectures; create training and technical guidance that strengthen secure data handling practices across teams. Communicate clearly and concisely with technical and non?technical audiences - summarize incidents, risks, and recommended actions with accurate, complete context. Required Skills & Experience 3-7 years of hands-on experience in: Active Directory administration/engineering Microsoft Entra ID (Azure AD) Azure AD Connect / hybrid identity environments Experience with: AD security hardening Identity-related attack techniques (privilege escalation, lateral movement) Attack path analysis or remediation activities Strong working knowledge of: Tier 0 concepts and identity as a control plane Authentication protocols (Kerberos, NTLM, SAML, OAuth) Preferred Experience Exposure to: CyberArk or other PAM tools Saviynt or similar IGA platforms Ping Identity or federation solutions HashiCorp Vault, Keyfactor, or PKI environments Experience supporting AD forest recovery exercises Familiarity with Zero Trust principles Key Traits for Success Strong execution and delivery focus Security and resiliency mindset Ability to quickly identify and remediate risks Works effectively in a cross-functional cybersecurity environment Comfortable working in fast-paced, project-driven (contract) engagements Pay Range: $65 - $70/Hr The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work.
Job Title: Guidewire Developer - P&C Domain Experience Location: Remote Duration: Temp - 12 months Pay Range: $75/hr to $80/hr (W2) Job ID: 407455 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Guidewire Developer - P&C Domain Experience to join our technology team. The ideal candidate will have strong experience in Guidewire InsuranceSuite development, configuration, and integrations and a proven ability to deliver scalable, secure, and high-quality P&C insurance solutions. Responsibilities: Design, develop, customize, and maintain Guidewire applications using best practices. Configure and enhance PolicyCenter, ClaimCenter, and/or BillingCenter per business requirements. Develop Gosu classes, PCF screens, workflows, rules, plugins, integrations, and batch processes. Build and maintain integrations with external systems using REST, SOAP, messaging, and middleware. Translate business requirements into technical solutions in collaboration with analysts and SMEs. Extend and optimize the data model and configuration changes. Participate in upgrades, Guidewire Cloud migrations, and modernization efforts. Perform code reviews, unit and integration testing, and support QA activities. Troubleshoot production issues, complete root cause analysis, and implement fixes. Ensure compliance with SDLC processes, coding standards, security policies, and Guidewire best practices. Prepare technical designs, documentation, and deployment materials. Support production releases and provide post-implementation support. Required Skills & Qualifications: Bachelor's degree in Computer Science, Information Technology, Engineering, or related field. 5+ years of Guidewire development experience. Hands-on experience with one or more: PolicyCenter, ClaimCenter, BillingCenter. Strong Gosu programming, Guidewire Studio, and Configuration expertise. Knowledge of data model extensions, product model, rules engine, workflows, and plugins. Experience developing REST APIs, SOAP services, and enterprise integrations. Strong SQL with Oracle, SQL Server, or PostgreSQL. Familiarity with Git, Maven, Jenkins, CI/CD, and Agile methodologies. Preferred Skills: Guidewire Cloud Platform, Spring Framework, Docker, and Kubernetes. Experience in Agile/Scrum environments and CI/CD best practices. Property & Casualty (P&C) Domain Expertise: Property & Casualty Insurance across Personal and Commercial Lines. Policy administration lifecycle: new business, issuance, renewals, endorsements, cancellations, reinstatements. Claims management: FNOL, adjudication, and recovery processes. Billing and payments, underwriting, rating and pricing, and reinsurance. Producer and agency management, risk assessment, and regulatory compliance. Technical Skills: Guidewire PolicyCenter, ClaimCenter, BillingCenter, and Guidewire Studio. Gosu, PCF configuration, rules engine, data model extensions, plugins, and batch processes. Integrations: REST, SOAP, JSON, XML, messaging, and middleware. SQL with Oracle, SQL Server, or PostgreSQL. Java, Maven, Git, Jenkins, and CI/CD. Preferred: Guidewire Cloud Platform, Spring, Docker, Kubernetes. Preferred Qualifications: Guidewire Certified Developer. Guidewire Cloud implementations or cloud migrations experience. Experience upgrading Guidewire applications across major versions. Knowledge of InsuranceSuite architecture and integration framework. Integration with third-party systems, payment gateways, document management, and rating engines. Event-driven architecture, Kafka, or messaging platforms. Soft Skills: Analytical and problem-solving abilities with clear communication. Effective collaboration with business users, architects, QA, and project managers. Organizational skills with the ability to work independently and in cross-functional teams. Commitment to quality, security, and scalability. Nice to Have: Guidewire Cloud APIs, Digital applications, DataHub, InfoCenter. Guidewire Test Util or automated testing frameworks. DevOps practices and cloud platforms such as AWS or Azure. Experience with large carriers or consulting engagements, analytics, reporting, and data warehousing. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.
08/06/2026
Full time
Job Title: Guidewire Developer - P&C Domain Experience Location: Remote Duration: Temp - 12 months Pay Range: $75/hr to $80/hr (W2) Job ID: 407455 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Guidewire Developer - P&C Domain Experience to join our technology team. The ideal candidate will have strong experience in Guidewire InsuranceSuite development, configuration, and integrations and a proven ability to deliver scalable, secure, and high-quality P&C insurance solutions. Responsibilities: Design, develop, customize, and maintain Guidewire applications using best practices. Configure and enhance PolicyCenter, ClaimCenter, and/or BillingCenter per business requirements. Develop Gosu classes, PCF screens, workflows, rules, plugins, integrations, and batch processes. Build and maintain integrations with external systems using REST, SOAP, messaging, and middleware. Translate business requirements into technical solutions in collaboration with analysts and SMEs. Extend and optimize the data model and configuration changes. Participate in upgrades, Guidewire Cloud migrations, and modernization efforts. Perform code reviews, unit and integration testing, and support QA activities. Troubleshoot production issues, complete root cause analysis, and implement fixes. Ensure compliance with SDLC processes, coding standards, security policies, and Guidewire best practices. Prepare technical designs, documentation, and deployment materials. Support production releases and provide post-implementation support. Required Skills & Qualifications: Bachelor's degree in Computer Science, Information Technology, Engineering, or related field. 5+ years of Guidewire development experience. Hands-on experience with one or more: PolicyCenter, ClaimCenter, BillingCenter. Strong Gosu programming, Guidewire Studio, and Configuration expertise. Knowledge of data model extensions, product model, rules engine, workflows, and plugins. Experience developing REST APIs, SOAP services, and enterprise integrations. Strong SQL with Oracle, SQL Server, or PostgreSQL. Familiarity with Git, Maven, Jenkins, CI/CD, and Agile methodologies. Preferred Skills: Guidewire Cloud Platform, Spring Framework, Docker, and Kubernetes. Experience in Agile/Scrum environments and CI/CD best practices. Property & Casualty (P&C) Domain Expertise: Property & Casualty Insurance across Personal and Commercial Lines. Policy administration lifecycle: new business, issuance, renewals, endorsements, cancellations, reinstatements. Claims management: FNOL, adjudication, and recovery processes. Billing and payments, underwriting, rating and pricing, and reinsurance. Producer and agency management, risk assessment, and regulatory compliance. Technical Skills: Guidewire PolicyCenter, ClaimCenter, BillingCenter, and Guidewire Studio. Gosu, PCF configuration, rules engine, data model extensions, plugins, and batch processes. Integrations: REST, SOAP, JSON, XML, messaging, and middleware. SQL with Oracle, SQL Server, or PostgreSQL. Java, Maven, Git, Jenkins, and CI/CD. Preferred: Guidewire Cloud Platform, Spring, Docker, Kubernetes. Preferred Qualifications: Guidewire Certified Developer. Guidewire Cloud implementations or cloud migrations experience. Experience upgrading Guidewire applications across major versions. Knowledge of InsuranceSuite architecture and integration framework. Integration with third-party systems, payment gateways, document management, and rating engines. Event-driven architecture, Kafka, or messaging platforms. Soft Skills: Analytical and problem-solving abilities with clear communication. Effective collaboration with business users, architects, QA, and project managers. Organizational skills with the ability to work independently and in cross-functional teams. Commitment to quality, security, and scalability. Nice to Have: Guidewire Cloud APIs, Digital applications, DataHub, InfoCenter. Guidewire Test Util or automated testing frameworks. DevOps practices and cloud platforms such as AWS or Azure. Experience with large carriers or consulting engagements, analytics, reporting, and data warehousing. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.
Platform Engineer I (Onsite) Primary Location: Cincinnati, Ohio V-Soft Consulting is currently hiring for a Platform Engineer I for our premier client in Cincinnati, Ohio. Education and Experience " Bachelor's degree in a relevant technology field or equivalent combination of education and work experience. Three+ years of engineering or other IT work experience relevant to the position. Strong problem-solving and communication skills. Willingness to work in a highly-collaborative environment. Technical skills per the specific position's requirements. Understanding of IT security best practices. Expertise in commodities trading platforms and swap dealer compliance requirements. Experience with Kiodex, Cappitech, and other Capital Markets IT platforms preferred. WHAT YOU'LL DO: Job Responsibilities: Liaison with software vendor(s) such as FIS and S&P for systems utilized by the Capital Markets Commodities and Swap Dealer Compliance lines of business, including Kiodex and Cappitech. Stay abreast of upcoming changes and enhancements in vendor's software and how those changes will impact the business. Assists with the line of business (or in support of a more senior Platform Engineer) to help design solutions to incorporate software changes and effectively works with business partners to ensure effective implementation. Seek to gain full understanding of the business technology roadmap and make recommendations on continued utilization or elimination of current third party software solutions. Implement and maintain new features and capabilities while continuously improving the quality of our technical products and services. Follow industry and organizational best practices and standards, and participate in company communities of practice to continuously refine and communicate them. Contribute to a culture of continuous improvement. Help achieve operational excellence by automating processes and creating maintainable, supportable, and testable solutions. Keep up with technology trends and innovations in your field(s) of practice. Provide operational support and troubleshooting for your team's products and services. Interested? Qualified candidates should send their resumes to V-Soft Consulting Group is recognized among the top 100 fastest growing staffing companies in North America, V-Soft Consulting Group is headquartered in Louisville, KY with strategic locations in India, Canada and the U.S. V-Soft is known as an agile, innovative technology services company holding several awards and distinctions and has a wide variety of partnerships across diverse technology stacks. As a valued V-Soft Consultant, you're eligible for full benefits (Medical, Dental, Vision), a 401(k) plan, competitive compensation and more. V-Soft is partnered with numerous Fortune 500 companies, exceptionally positioned to advance your career growth. V-Soft Consulting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type 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. For more information or to view all our open jobs, please visit or call .
08/06/2026
Full time
Platform Engineer I (Onsite) Primary Location: Cincinnati, Ohio V-Soft Consulting is currently hiring for a Platform Engineer I for our premier client in Cincinnati, Ohio. Education and Experience " Bachelor's degree in a relevant technology field or equivalent combination of education and work experience. Three+ years of engineering or other IT work experience relevant to the position. Strong problem-solving and communication skills. Willingness to work in a highly-collaborative environment. Technical skills per the specific position's requirements. Understanding of IT security best practices. Expertise in commodities trading platforms and swap dealer compliance requirements. Experience with Kiodex, Cappitech, and other Capital Markets IT platforms preferred. WHAT YOU'LL DO: Job Responsibilities: Liaison with software vendor(s) such as FIS and S&P for systems utilized by the Capital Markets Commodities and Swap Dealer Compliance lines of business, including Kiodex and Cappitech. Stay abreast of upcoming changes and enhancements in vendor's software and how those changes will impact the business. Assists with the line of business (or in support of a more senior Platform Engineer) to help design solutions to incorporate software changes and effectively works with business partners to ensure effective implementation. Seek to gain full understanding of the business technology roadmap and make recommendations on continued utilization or elimination of current third party software solutions. Implement and maintain new features and capabilities while continuously improving the quality of our technical products and services. Follow industry and organizational best practices and standards, and participate in company communities of practice to continuously refine and communicate them. Contribute to a culture of continuous improvement. Help achieve operational excellence by automating processes and creating maintainable, supportable, and testable solutions. Keep up with technology trends and innovations in your field(s) of practice. Provide operational support and troubleshooting for your team's products and services. Interested? Qualified candidates should send their resumes to V-Soft Consulting Group is recognized among the top 100 fastest growing staffing companies in North America, V-Soft Consulting Group is headquartered in Louisville, KY with strategic locations in India, Canada and the U.S. V-Soft is known as an agile, innovative technology services company holding several awards and distinctions and has a wide variety of partnerships across diverse technology stacks. As a valued V-Soft Consultant, you're eligible for full benefits (Medical, Dental, Vision), a 401(k) plan, competitive compensation and more. V-Soft is partnered with numerous Fortune 500 companies, exceptionally positioned to advance your career growth. V-Soft Consulting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type 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. For more information or to view all our open jobs, please visit or call .
Company Overview: Integrated Data Services (IDS) is a leading provider of custom software products and Government financial management services. IDS was founded in 1997 in El Segundo, CA, and since that time has seen tremendous growth and success. Currently IDS has offices supporting customers nationwide. By providing customers with fast, efficient and reliable information systems and support services, IDS has become a preferred provider of financial and programmatic systems, services, and solutions across a wide variety of government agencies. Position Description: IDS is currently searching for a Junior Business Analyst with experience in Department of Defense (DoD) financial management processes, government financial and accounting systems, acquisition and budgeting processes, and relational databases to provide support and training on-site to a government customer. Responsibilities include, but are not limited to, the following: Act as a financial and technical consultant for a DoD program management and financial management system Provide expertise in government finance Assist customers in properly structuring financial data Perform reconciliation between several systems Perform daily review of forecasts and accounting data Otherwise support a government financial office Knowledge and Skills: This position requires a minimum of three (3) years of government acquisition, finance or financial management, program management or related experience within a DoD organization. Comprehensive Cost and Requirement System (CCaR) experience and/or certification is preferred. Education and Work Experience: This position requires a minimum of a Bachelor's degree in business management, engineering, computer science, mathematics, economics or other related discipline. Experience in lieu of education may be considered if the individual has seven (7) or more years of equivalent technical training or work/military experience. Physical & Mental Qualifications: Must be able to sit, type, hear, see, and speak for extended periods of time. Must consistently work and type on a computer for prolonged periods of time. Must be able to communicate accurate information and ideas so others will understand. Must be able to lift/carry at least 15 lbs. May be required to move about inside an office to access file cabinets, office supplies, etc. Security Clearance: Applicants selected for employment will be subject to a Federal background investigation and must meet additional eligibility requirements for access to classified information or materials. Travel: Some travel may be required. Hours: Normal work schedule hours may vary, Monday through Friday. May be required to work additional hours and/or weekends, as needed, to meet deadlines or to fulfill travel obligations. Salary Range: $70,000 - $95,000 per year The estimated salary range listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job posting and may be modified in the future. The disclosed salary range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. When determining an applicant's compensation, various factors are taken into consideration including, but not limited to: geographic location, relevant prior work experience, relevant training, special skills/competencies, education, clearance, licenses/certifications, labor categories/contract rates and other business needs. IDS offers a robust benefits package including employer paid health, dental, vision, disability, AD&D and life insurance plans for eligible employees. IDS also offers a variety of elective plans to eligible employees including flexible spending accounts, voluntary life insurance and supplemental insurance plans. Benefits become effective the first of the month following the start date of employment unless starting on the 1st of the month, in which case benefits are effective immediately upon the eligible employee's start date. IDS offers eligible employees eleven (11) paid holidays, generous PTO accruals starting at three (3) weeks per year, as well as a 401(k) safe harbor contribution upon eligibility. IDS also offers generous employee referral bonuses. IDS is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regards to age (40 and over), color, physical or mental disability, gender identity or expression, genetic information (including family medical history), national origin or ancestry, race, religion, sex, pregnancy (including childbirth and related medical conditions), sexual orientation, citizenship status, veteran status, uniformed service member status, or any other characteristic protected by federal, state, or local law. IDS participates in E-Verify. To learn more about E-Verify, including your rights and responsibilities, please visit A submission of a resume is an expression of interest and not considered an application. For more information, visit . Disclaimer: This job description is intended to provide an overview of job responsibilities that are subject to change. U.S. citizenship is required; H1-B visas and other visas are not being sponsored. Relocation expenses are NOT compensated. All jobs are employer paid; no fees to candidates. Third parties or agency inquiries are not being accepted at this time.
08/06/2026
Full time
Company Overview: Integrated Data Services (IDS) is a leading provider of custom software products and Government financial management services. IDS was founded in 1997 in El Segundo, CA, and since that time has seen tremendous growth and success. Currently IDS has offices supporting customers nationwide. By providing customers with fast, efficient and reliable information systems and support services, IDS has become a preferred provider of financial and programmatic systems, services, and solutions across a wide variety of government agencies. Position Description: IDS is currently searching for a Junior Business Analyst with experience in Department of Defense (DoD) financial management processes, government financial and accounting systems, acquisition and budgeting processes, and relational databases to provide support and training on-site to a government customer. Responsibilities include, but are not limited to, the following: Act as a financial and technical consultant for a DoD program management and financial management system Provide expertise in government finance Assist customers in properly structuring financial data Perform reconciliation between several systems Perform daily review of forecasts and accounting data Otherwise support a government financial office Knowledge and Skills: This position requires a minimum of three (3) years of government acquisition, finance or financial management, program management or related experience within a DoD organization. Comprehensive Cost and Requirement System (CCaR) experience and/or certification is preferred. Education and Work Experience: This position requires a minimum of a Bachelor's degree in business management, engineering, computer science, mathematics, economics or other related discipline. Experience in lieu of education may be considered if the individual has seven (7) or more years of equivalent technical training or work/military experience. Physical & Mental Qualifications: Must be able to sit, type, hear, see, and speak for extended periods of time. Must consistently work and type on a computer for prolonged periods of time. Must be able to communicate accurate information and ideas so others will understand. Must be able to lift/carry at least 15 lbs. May be required to move about inside an office to access file cabinets, office supplies, etc. Security Clearance: Applicants selected for employment will be subject to a Federal background investigation and must meet additional eligibility requirements for access to classified information or materials. Travel: Some travel may be required. Hours: Normal work schedule hours may vary, Monday through Friday. May be required to work additional hours and/or weekends, as needed, to meet deadlines or to fulfill travel obligations. Salary Range: $70,000 - $95,000 per year The estimated salary range listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job posting and may be modified in the future. The disclosed salary range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. When determining an applicant's compensation, various factors are taken into consideration including, but not limited to: geographic location, relevant prior work experience, relevant training, special skills/competencies, education, clearance, licenses/certifications, labor categories/contract rates and other business needs. IDS offers a robust benefits package including employer paid health, dental, vision, disability, AD&D and life insurance plans for eligible employees. IDS also offers a variety of elective plans to eligible employees including flexible spending accounts, voluntary life insurance and supplemental insurance plans. Benefits become effective the first of the month following the start date of employment unless starting on the 1st of the month, in which case benefits are effective immediately upon the eligible employee's start date. IDS offers eligible employees eleven (11) paid holidays, generous PTO accruals starting at three (3) weeks per year, as well as a 401(k) safe harbor contribution upon eligibility. IDS also offers generous employee referral bonuses. IDS is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regards to age (40 and over), color, physical or mental disability, gender identity or expression, genetic information (including family medical history), national origin or ancestry, race, religion, sex, pregnancy (including childbirth and related medical conditions), sexual orientation, citizenship status, veteran status, uniformed service member status, or any other characteristic protected by federal, state, or local law. IDS participates in E-Verify. To learn more about E-Verify, including your rights and responsibilities, please visit A submission of a resume is an expression of interest and not considered an application. For more information, visit . Disclaimer: This job description is intended to provide an overview of job responsibilities that are subject to change. U.S. citizenship is required; H1-B visas and other visas are not being sponsored. Relocation expenses are NOT compensated. All jobs are employer paid; no fees to candidates. Third parties or agency inquiries are not being accepted at this time.
Job description Lead Global Infrastructure Operations for Mission-Critical Cloud Environments Flatirons Solutions is seeking a Hosting Operations Manager to lead the strategy, delivery, and continuous improvement of our hosting and cloud operations function. This role is responsible for ensuring the reliability, security, and performance of customer-facing and internal platforms while leading a global team of infrastructure and operations professionals. The successful candidate will play a critical role in advancing our cloud operations capabilities, driving service excellence, and partnering across Engineering, Product Management, Security, Customer Success, and customers to deliver highly available and scalable solutions. Must be located near Boulder, CO. This is a hybrid position. What We're Looking For The ideal candidate will bring: 3+ years of people leadership experience, including managing global or geographically distributed technical teams. Deep experience operating mission-critical production systems with demanding availability, reliability, and performance requirements, preferably in AWS cloud environments. Demonstrated success leading root cause analysis (RCA) and corrective action programs that improve service reliability and operational effectiveness. Key Responsibilities Leadership & Team Management Lead and manage a global Hosting Operations team, including infrastructure, cloud, systems, and operations engineers. Establish team goals, performance objectives, and career development plans. Conduct performance reviews, coaching, mentoring, and succession planning. Recruit, develop, and retain high-performing technical staff. Foster a culture of operational excellence, accountability, continuous improvement, and customer focus. Infrastructure & Operations Management Own the availability, reliability, performance, and operational health of hosted environments. Manage infrastructure supporting customer and corporate systems across cloud and on-premises platforms. Ensure operational readiness through monitoring, alerting, incident response, and problem management processes. Lead capacity planning, infrastructure forecasting, and resource optimization activities. Oversee infrastructure lifecycle management, including hardware refreshes, operating system upgrades, and platform modernization initiatives. Ensure backup, recovery, business continuity, and disaster recovery capabilities are maintained and regularly tested. Drive automation initiatives that improve operational efficiency and reduce manual effort. Establish and maintain operational standards, procedures, runbooks, and documentation. Service Delivery & Customer Engagement Serve as an escalation point for critical customer issues and service disruptions. Participate in customer discussions regarding infrastructure, hosting operations, service performance, and operational improvements. Ensure service level agreements (SLAs) and operational commitments are consistently achieved. Lead major incident management activities and post-incident reviews. Communicate operational status, risks, and improvement initiatives to customers and executive leadership. Cloud & Data Center Operations Oversee operations across AWS and other cloud platforms as required. Ensure efficient utilization of cloud and data center resources. Monitor cloud spending and identify cost optimization opportunities. Collaborate with Engineering teams on platform architecture, scalability, and operational requirements. Security, Compliance & Governance Ensure hosting environments comply with company security policies, customer requirements, and regulatory obligations. Partner with Information Security teams to address vulnerabilities, remediation activities, and security monitoring. Support audits, compliance assessments, and customer security reviews. Establish and maintain Hosting Operations policies, procedures, standards, and controls within the Business Management System. Ensure adherence to Quality Management System (QMS) and Information Security Management System (ISMS) requirements. Metrics & Continuous Improvement Define and maintain Hosting Operations KPIs and service health metrics. Implement metrics-driven processes to measure service quality, availability, performance, and operational efficiency. Lead root cause analysis investigations and corrective action programs. Identify opportunities for operational improvements, automation, and cost reduction. Provide regular reporting on operational performance, risks, and improvement initiatives. Skills, Knowledge & Expertise Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent practical experience. 5+ years of experience managing infrastructure, cloud, hosting, or operations teams. 8+ years of experience supporting enterprise infrastructure environments. At least 3 years of direct people leadership experience. Experience managing global or geographically distributed technical teams. Experience supporting both cloud and on-premises infrastructure environments. Experience operating mission-critical production systems with high availability requirements. Experience leading root cause analysis and corrective action initiatives. Experience with IT service management practices, including incident, problem, change, and capacity management. Experience working directly with enterprise customers. Preferred Qualifications AWS certifications or equivalent cloud certifications. ITIL certification. Experience supporting regulated environments and customer audits. SAFe Agile experience. Aerospace industry experience. Technical Expertise AWS cloud services and cloud operations (preferred). Windows and Linux server administration. Virtualization technologies. Enterprise storage, backup, and disaster recovery technologies. Networking and security fundamentals. Infrastructure monitoring and observability platforms. Infrastructure automation and configuration management tools. IT service management platforms. Salary Range: $165,000 to $205,000
08/06/2026
Full time
Job description Lead Global Infrastructure Operations for Mission-Critical Cloud Environments Flatirons Solutions is seeking a Hosting Operations Manager to lead the strategy, delivery, and continuous improvement of our hosting and cloud operations function. This role is responsible for ensuring the reliability, security, and performance of customer-facing and internal platforms while leading a global team of infrastructure and operations professionals. The successful candidate will play a critical role in advancing our cloud operations capabilities, driving service excellence, and partnering across Engineering, Product Management, Security, Customer Success, and customers to deliver highly available and scalable solutions. Must be located near Boulder, CO. This is a hybrid position. What We're Looking For The ideal candidate will bring: 3+ years of people leadership experience, including managing global or geographically distributed technical teams. Deep experience operating mission-critical production systems with demanding availability, reliability, and performance requirements, preferably in AWS cloud environments. Demonstrated success leading root cause analysis (RCA) and corrective action programs that improve service reliability and operational effectiveness. Key Responsibilities Leadership & Team Management Lead and manage a global Hosting Operations team, including infrastructure, cloud, systems, and operations engineers. Establish team goals, performance objectives, and career development plans. Conduct performance reviews, coaching, mentoring, and succession planning. Recruit, develop, and retain high-performing technical staff. Foster a culture of operational excellence, accountability, continuous improvement, and customer focus. Infrastructure & Operations Management Own the availability, reliability, performance, and operational health of hosted environments. Manage infrastructure supporting customer and corporate systems across cloud and on-premises platforms. Ensure operational readiness through monitoring, alerting, incident response, and problem management processes. Lead capacity planning, infrastructure forecasting, and resource optimization activities. Oversee infrastructure lifecycle management, including hardware refreshes, operating system upgrades, and platform modernization initiatives. Ensure backup, recovery, business continuity, and disaster recovery capabilities are maintained and regularly tested. Drive automation initiatives that improve operational efficiency and reduce manual effort. Establish and maintain operational standards, procedures, runbooks, and documentation. Service Delivery & Customer Engagement Serve as an escalation point for critical customer issues and service disruptions. Participate in customer discussions regarding infrastructure, hosting operations, service performance, and operational improvements. Ensure service level agreements (SLAs) and operational commitments are consistently achieved. Lead major incident management activities and post-incident reviews. Communicate operational status, risks, and improvement initiatives to customers and executive leadership. Cloud & Data Center Operations Oversee operations across AWS and other cloud platforms as required. Ensure efficient utilization of cloud and data center resources. Monitor cloud spending and identify cost optimization opportunities. Collaborate with Engineering teams on platform architecture, scalability, and operational requirements. Security, Compliance & Governance Ensure hosting environments comply with company security policies, customer requirements, and regulatory obligations. Partner with Information Security teams to address vulnerabilities, remediation activities, and security monitoring. Support audits, compliance assessments, and customer security reviews. Establish and maintain Hosting Operations policies, procedures, standards, and controls within the Business Management System. Ensure adherence to Quality Management System (QMS) and Information Security Management System (ISMS) requirements. Metrics & Continuous Improvement Define and maintain Hosting Operations KPIs and service health metrics. Implement metrics-driven processes to measure service quality, availability, performance, and operational efficiency. Lead root cause analysis investigations and corrective action programs. Identify opportunities for operational improvements, automation, and cost reduction. Provide regular reporting on operational performance, risks, and improvement initiatives. Skills, Knowledge & Expertise Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent practical experience. 5+ years of experience managing infrastructure, cloud, hosting, or operations teams. 8+ years of experience supporting enterprise infrastructure environments. At least 3 years of direct people leadership experience. Experience managing global or geographically distributed technical teams. Experience supporting both cloud and on-premises infrastructure environments. Experience operating mission-critical production systems with high availability requirements. Experience leading root cause analysis and corrective action initiatives. Experience with IT service management practices, including incident, problem, change, and capacity management. Experience working directly with enterprise customers. Preferred Qualifications AWS certifications or equivalent cloud certifications. ITIL certification. Experience supporting regulated environments and customer audits. SAFe Agile experience. Aerospace industry experience. Technical Expertise AWS cloud services and cloud operations (preferred). Windows and Linux server administration. Virtualization technologies. Enterprise storage, backup, and disaster recovery technologies. Networking and security fundamentals. Infrastructure monitoring and observability platforms. Infrastructure automation and configuration management tools. IT service management platforms. Salary Range: $165,000 to $205,000
Job Overview: Pay Range $33hr - $38hr Requirement/Must Have: Bachelor's degree in Knowledge Management, Business Administration, Information Systems/Management, Computer Science, UX Design, Organizational Development, Data/Business Analytics, or equivalent experience OR 5 years with Knowledge Management experience. 3 5 years of experience in knowledge management (any tool), content strategy, intranet management, digital workplace operations, or a related specialist/practitioner role. Hands-on experience configuring and maintaining SharePoint Online sites, pages, libraries, lists, metadata, views, permissions, navigation, web parts, and content lifecycle settings. Experience with content lifecycle management, governance, audits, review cycles, ownership models, version control, archival, and retirement practices. Strong understanding of metadata, taxonomy, search fundamentals, information architecture, and content findability. Strong verbal and written communication skills, facilitation, stakeholder management, organization, prioritization, and customer support skills. Responsibilities: Develop and maintain knowledge management practices that support business needs, improve the employee user experience, and align with enterprise content standards. Assess existing content through inventories, audits, and gap analysis to identify opportunities to improve quality, relevance, and usability. Apply taxonomy, metadata, ownership, review cadence, version control, naming standards, and lifecycle practices to keep knowledge assets organized, current, and easy to find. Work with SMEs to turn complex or fragmented information into clear QRGs, SOPs, training materials, and support content employees can use with confidence. Act as a trusted partner for stakeholders, content owners, and SharePoint site owners. Lead training, office hours, onboarding, guidance, and customer support for users, SMEs, and content contributors. Help teams keep site content accurate and current while coordinating escalation for platform defects, enhancement requests, or code changes as needed. Configure and maintain SharePoint Online sites, pages, libraries, lists, permissions, navigation, metadata, web parts, and content structures. Organize, consolidate, migrate, archive, retire, or remediate outdated SharePoint sites and knowledge repositories. Improve findability by using metadata, navigation, Microsoft Search, content health metrics, usage data, search analytics, zero-result searches, broken link reports, and stakeholder feedback. Strengthen AI-ready knowledge practices by improving content structure, metadata quality, ownership, and source reliability for enterprise search and Microsoft 365 experiences. Use user-centered design principles to improve site navigation, information architecture, content Client, and content placement. Nice to Have: Experience with Power BI, Power Automate, Power Apps, Microsoft Teams, Microsoft Search, or search analytics. Familiarity with accessibility standards, UX practices, content design methods, and user-centered design principles. Experience working in an enterprise intranet, digital workplace, or large corporate environment with distributed content ownership. Benefits Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
08/06/2026
Full time
Job Overview: Pay Range $33hr - $38hr Requirement/Must Have: Bachelor's degree in Knowledge Management, Business Administration, Information Systems/Management, Computer Science, UX Design, Organizational Development, Data/Business Analytics, or equivalent experience OR 5 years with Knowledge Management experience. 3 5 years of experience in knowledge management (any tool), content strategy, intranet management, digital workplace operations, or a related specialist/practitioner role. Hands-on experience configuring and maintaining SharePoint Online sites, pages, libraries, lists, metadata, views, permissions, navigation, web parts, and content lifecycle settings. Experience with content lifecycle management, governance, audits, review cycles, ownership models, version control, archival, and retirement practices. Strong understanding of metadata, taxonomy, search fundamentals, information architecture, and content findability. Strong verbal and written communication skills, facilitation, stakeholder management, organization, prioritization, and customer support skills. Responsibilities: Develop and maintain knowledge management practices that support business needs, improve the employee user experience, and align with enterprise content standards. Assess existing content through inventories, audits, and gap analysis to identify opportunities to improve quality, relevance, and usability. Apply taxonomy, metadata, ownership, review cadence, version control, naming standards, and lifecycle practices to keep knowledge assets organized, current, and easy to find. Work with SMEs to turn complex or fragmented information into clear QRGs, SOPs, training materials, and support content employees can use with confidence. Act as a trusted partner for stakeholders, content owners, and SharePoint site owners. Lead training, office hours, onboarding, guidance, and customer support for users, SMEs, and content contributors. Help teams keep site content accurate and current while coordinating escalation for platform defects, enhancement requests, or code changes as needed. Configure and maintain SharePoint Online sites, pages, libraries, lists, permissions, navigation, metadata, web parts, and content structures. Organize, consolidate, migrate, archive, retire, or remediate outdated SharePoint sites and knowledge repositories. Improve findability by using metadata, navigation, Microsoft Search, content health metrics, usage data, search analytics, zero-result searches, broken link reports, and stakeholder feedback. Strengthen AI-ready knowledge practices by improving content structure, metadata quality, ownership, and source reliability for enterprise search and Microsoft 365 experiences. Use user-centered design principles to improve site navigation, information architecture, content Client, and content placement. Nice to Have: Experience with Power BI, Power Automate, Power Apps, Microsoft Teams, Microsoft Search, or search analytics. Familiarity with accessibility standards, UX practices, content design methods, and user-centered design principles. Experience working in an enterprise intranet, digital workplace, or large corporate environment with distributed content ownership. Benefits Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
DCS is seeking a skilled Technical Writer to support a fast-paced Army product management office in Huntsville, AL. In this role you will develop, review, and maintain a wide range of technical documentation. You will be responsible for transforming complex technical information into clear, concise, and accurate material for military, engineering, and acquisition audiences. The ideal candidate has experience supporting DOW programs, working in a dynamic environment, and collaborating with engineers, logisticians, and program leadership. Join our growing team and apply your technical writing expertise, analytical, and problem-solving skills in a collaborative environment. At DCS Corporation, you'll find competitive pay, top-tier benefits, and an innovative culture built to support your growth. Best of all, you'll be part of a mission-driven team focused on achieving meaningful results. This is a part time, on call role with hours scheduled based on organizational needs. Essential Job Functions: Prepares technical manuals, articulation of specifications, doctrinal materials, detailed reports, training materials and support plans, logistic and fielding plans, graphic and training aids. Guides, aids, and/or manages others in the analysis, design, development, planning and execution of product services and processes. Works on complex projects which require original thinking and new approaches. Sets priorities and ensures that the work products conform to requirements and standards. Plans, conducts and manages assignments, reviews progress and evaluates results, works with other technical and administrative disciplines, and performs top-level analysis/research and plans. Maintain consistency of language, terminology, and formatting across multiple documents and products. Create tables of contents, citations, references, and supporting documentation as required. Support review cycles by incorporating feedback from managers, engineers, and stakeholders. Maintain electronic libraries of approved documents, presentations, and associated records. Update and revise documentation as requirements, systems, and program needs evolve. Prepare materials for publication and distribution. Required Skills: U.S. Citizenship and active DOW Secret security clearance or ability to obtain one. Bachelor's Degree and 8+ years of relevant experience. Experience developing and editing technical documentation, requirements documents, technical papers, and engineering artifacts. Ability to create professional-quality technical products from complex content. Proficiency in Microsoft Office. Strong oral and written communication skills.
08/06/2026
Full time
DCS is seeking a skilled Technical Writer to support a fast-paced Army product management office in Huntsville, AL. In this role you will develop, review, and maintain a wide range of technical documentation. You will be responsible for transforming complex technical information into clear, concise, and accurate material for military, engineering, and acquisition audiences. The ideal candidate has experience supporting DOW programs, working in a dynamic environment, and collaborating with engineers, logisticians, and program leadership. Join our growing team and apply your technical writing expertise, analytical, and problem-solving skills in a collaborative environment. At DCS Corporation, you'll find competitive pay, top-tier benefits, and an innovative culture built to support your growth. Best of all, you'll be part of a mission-driven team focused on achieving meaningful results. This is a part time, on call role with hours scheduled based on organizational needs. Essential Job Functions: Prepares technical manuals, articulation of specifications, doctrinal materials, detailed reports, training materials and support plans, logistic and fielding plans, graphic and training aids. Guides, aids, and/or manages others in the analysis, design, development, planning and execution of product services and processes. Works on complex projects which require original thinking and new approaches. Sets priorities and ensures that the work products conform to requirements and standards. Plans, conducts and manages assignments, reviews progress and evaluates results, works with other technical and administrative disciplines, and performs top-level analysis/research and plans. Maintain consistency of language, terminology, and formatting across multiple documents and products. Create tables of contents, citations, references, and supporting documentation as required. Support review cycles by incorporating feedback from managers, engineers, and stakeholders. Maintain electronic libraries of approved documents, presentations, and associated records. Update and revise documentation as requirements, systems, and program needs evolve. Prepare materials for publication and distribution. Required Skills: U.S. Citizenship and active DOW Secret security clearance or ability to obtain one. Bachelor's Degree and 8+ years of relevant experience. Experience developing and editing technical documentation, requirements documents, technical papers, and engineering artifacts. Ability to create professional-quality technical products from complex content. Proficiency in Microsoft Office. Strong oral and written communication skills.