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Job Title: Integration Manager / Solution Architect Data Management & Enterprise Applications Location: Remote US Based Duration: Long-Term Contract (12+ Months) Hours: 40 Hours/Week Overview Our client is seeking a senior-level Integration Manager with strong Solution Architecture and Data Management experience to support a large-scale enterprise integration program. This individual will play a key leadership and coordination role across multiple technical teams and third-party providers while remaining hands-on with integration strategy, data management, and technical discussions. This is a highly visible advisory role reporting directly to the Director and supporting a complex enterprise initiative expected to run for at least one year. Responsibilities Lead and coordinate enterprise application integration efforts across multiple platforms and vendors Serve as the primary liaison between technical teams, business stakeholders, and external providers Provide Solution Architecture guidance for integration and data management initiatives Drive integration strategy between SAP ERP and connected enterprise applications including Salesforce and other business systems Participate in technical discussions, architecture reviews, and data flow/design decisions Oversee data management components including data governance, mapping, transformation, and integration best practices Ensure successful execution across a large, complex program environment Provide leadership, coordination, and advisory support while remaining hands-on technically when needed Report directly to program leadership/director-level stakeholders Required Experience Senior-level experience leading enterprise integration initiatives Strong hands-on experience with system integrations and data management Experience integrating SAP ERP with platforms such as Salesforce and other enterprise applications Ability to communicate effectively with technical teams, architects, vendors, and business stakeholders Strong leadership and coordination skills in large-scale program environments Experience functioning in a hybrid leadership / Solution Architect capacity Ability to work in both strategic and hands-on technical environments Consumer Packaged Goods (CPG) industry experience required Additional Details Start Date: ASAP Long-term engagement supporting a complex enterprise transformation program US-based candidates only preferred

Wilmington, DE SAP Finance or Supply Chain S4 HANA Enterprise Architect $180K- 190 K Onsite HYBRID Full-Time Employee NO CONTRACTORS that want a contract position. No C2C, No CTH, No telecommuting, NO will rent an apt there, and go home on weekends End client. Not a consulting company or implementation partner. SAP S/4 HANA Enterprise Architect to help define, govern, and enable enterprise architecture as part of our ERP modernization journey. This role focuses on Finance or Supply Chain capabilities and plays a central role in shaping futurestate architecture, guiding fittostandard decisions, and maintaining a pragmatic, clean core approach across SAP S/4 HANA and integrated systems. 8+ years of experience in SAP architecture or solution architecture Deep functional and architectural expertise in either Finance or Supply Chain business processes. LeanIX, capability mapping, or dependency visualization tools Background in consulting or systems integration, with exposure to multiple SAP S/4 HANA implementation approaches (greenfield, brownfield, or selective transition). Travel Required: 10% of the Time

Distinguished AI Engineer Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 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) 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 Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $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. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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

Distinguished AI Engineer Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 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) 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 Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $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. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 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) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP 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 Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $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 Richmond, VA: $286,200 - $326,700 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, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Machine Learning Engineer (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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

Senior Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 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) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP 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 Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $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 Richmond, VA: $286,200 - $326,700 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, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Machine Learning Engineer (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Position: Azure Infrastructure Engineer (Ref: 18555) Location: Atlanta, GA USA, 30334 Salary: $65.00/hr. Duration: 11 Months 2 Days - Contract Openings: 1 Deadline: 07/31/2026 Description: Local Candidates Only Hybrid We are seeking a skilled Database Infrastructure Engineer to design, maintain, and optimize core enterprise database environments. In this role, you will serve as a key custodian of the data ecosystem, focusing heavily on automation, scheduling management, and infrastructure scaling. You will leverage scripting languages to automate routine maintenance, monitor system health, and orchestrate complex database jobs to ensure maximum uptime and peak performance across on-premises and cloud environments. Key Responsibilities Infrastructure Management: Design, configure, provision, and managing hardware/software configurations across Azure Cloud services and Windows Servers. Ensure compliance with data governance, state/federal data privacy regulations, and user permission management. Automated Job Management: Design, implement, and monitor automated database jobs, routine maintenance tasks, and ETL workflows. Scripting & Automation: Write and maintain robust scripts (SSIS, PowerShell, etc.) to automate DBA tasks, deployments, backups, and health checks. Performance Tuning: Proactively monitor system performance, identify bottlenecks, optimize queries, and manage indexing strategies. Troubleshoot complex hardware, software, and network issues. High Availability & Disaster Recovery (DR): Maintain and test robust DR strategies and failover protocols. Provide 24/7 support for mission-critical production systems as needed. Cross-Functional Collaboration: Support application development and data integration through application environment configuration, IIS administration, and the implementation of security and performance best practices. Qualifications & Requirements Education: Bachelors degree in Computer Science, Information Technology, or a related field. Location Requirement: Must be local to the Greater Metro Atlanta area for hybrid work arrangements. Database Platforms: Strong expertise in managing enterprise systems (MS SQL Server, Windows Server, Azure Cloud environments). Scripting Proficiency: Advanced knowledge of PowerShell and SSIS for database automation and pipeline orchestration. Infrastructure Knowledge: Solid understanding of storage systems, network architecture, and cloud infrastructure (primarily Azure). Troubleshooting: Strong analytical and problem-solving skills under pressure for critical production incidents. Preferred Skills & Certifications Experience with PowerApps, Power BI Services, and Power Automate. Familiarity with CI/CD pipelines, DevOps processes, and .NET applications. Professional certifications such as Microsoft Certified: Azure Database Administrator Associate or relevant Microsoft SQL Server credentials. Working Conditions: Location: Atlanta, GA (Hybrid Local candidates only) Position Type: Contract Work Schedule: Standard Business Hours (40 hours/week, 8 hours/day) Required / Desired Skills Bachelors degree in computer science, information technology, or a related field Required - 4 Years Expertise in managing enterprise systems (e.g., MS SQL Server, Windows Server, and Azure Cloud environment). Required - 7 Years Knowledge of scripting languages like PowerShell and SSIS for automation. Required - 7 Years Understanding of storage systems, network architecture, and cloud infrastructure (i.e. Azure). Required - 7 Years Excellent troubleshooting skills under pressure for critical production incidents. Required - 7 Years Certifications in relevant database technologies (e.g., Azure Database Administrator). (COPY REQUIRED) Required - 1 Years Certifications such as Microsoft Certified: Azure Database Administrator Associate, Microsoft SQL Server (COPY REQUIRED) Required - 1 Years Experience with PowerApps, Power BI Services, Power Automate. Required - 7 Years Familiarity with CI/CD pipelines, DevOps processes and .NET applications Required - 7 Years

Federated Hermes, Inc. Senior Application Developer () Federated Hermes, Inc., a global leader in active, responsible investing, is seeking a Senior Application Developer to join our Global Technology Organization based in our Warrendale, Pennsylvania office. What Youll Do This position is part of the Enterprise Data Servicing team under Global Technology Organization. In this role, you will lead the design, development, and optimization of large-scale data solutions on the Databricks platform. Design, build, and maintain scalable data pipelines on Databricks (using Spark, Delta Lake, etc.) Write clean, efficient and maintainable PySpark or SQL code for data transformation Design robust data models for analytics and reporting Ensure data quality, consistency, and governance Handle batch and streaming data workflows Provide architectural guidance and support in platform usage Drive best practices in data engineering across the team Monitor and optimize performance of Spark jobs and cluster usage Ensure compliance with security and data privacy standards This position offers a hybrid schedule (in-office/remote) and is located in Federated Hermes Warrendale, Pennsylvania office (15086). The Expertise We are Looking For Bachelors degree in Computer Science, Engineering, or a related field Minimum of 5 years programming experience which includes a minimum of one year working with big data platform, experience in data engineering domain, Python, SQL, and cloud platforms such as Azure Familiarity with the relevant systems, tools, languages and business domain which includes: Data lakehouse principles, relational and Kimball data models required Experience with CI/CD pipelines and version control tools required Knowledge of data visualization tools and BI platforms preferred Certification in Databricks or relevant cloud platforms preferred Our Investment in You We believe our employees are our most important asset! Therefore, we offer benefits programs designed to help you and your family thrive, training programs to advance your professional development and opportunities for you to give back to the community. Our offerings include: A competitive total compensation package, including bonus programs designed to recognize and incentivize our employees to do their best every day. Time off programs including paid vacation, parental leave and a volunteer day to help you stay healthy and connected to the things that are important. Opportunities to expand your professional network within the firm and the community through participation in programs such as the Women in Investing Employee Resource Business Group and the University Ambassador Program. About Federated Hermes At Federated Hermes, our goals are to help individuals invest and retire better, to help our clients achieve better risk-adjusted returns, and to contribute to the positive outcomes in the wider world. We pledge to always putting our clients first and to acting responsibly and transparently. Our commitment to active, responsible investment has enabled us to become a leading investment manager serving investors around the world. We provide careers opportunities that have enabled our employees to grow and meet their career aspirations while balancing the needs of their personal lives. We offer a collaborative environment that promotes doing things the right way and always with integrity, sharing ideas to drive positive change, and following through on our commitments. We are motivated by a higher purpose and always consider the impact of our work. We promote teamwork and foster a diverse, inclusive and respectful workplace where unique perspectives, ideas and experiences are recognized and appreciated for the contributions they bring. At Federated Hermes, we are committed to providing equal employment opportunity in all aspects of employment. Federated Hermes, Inc. offers a competitive salary and benefits package along with a professional environment. Only those candidates in whom we have an interest will be contacted. We are interested in qualified candidates who are eligible to work in the United States. However, we are not able to sponsor visas. EOE Including Disability / Vets Federated Hermes is committed to providing equal employment opportunities in all aspects of employment to qualified individuals without regard to the following criteria: race, color, national origin, religion, sex, pregnancy, sexual orientation, gender identity or expression, mental or physical disability, age, familial or marital status, ancestry, military status, veteran status or genetic information as well as any other prohibited criteria under any local, state or federal law applicable to Federated Hermes. As part of the firms equal employment opportunity statement, Federated Hermes will also comply with applicable government contractor obligations, including ensuring veterans and qualified people with disabilities are considered for employment and promotional opportunities consistent with current federal, state and local laws and regulations. Federated Hermes will also make reasonable accommodations for the religious practices of beliefs of applicants and employees, as well as for mental health or physical disability needs. For consideration, please visit our company website and reference job .

Immediate long term contract opportunity for Software Developer/Engineer with direct client in Philadelphia, PA. Trigyn has a long-term contract opportunity for Software Developer/Engineer with our direct client - a major utility services firm based in Philadelphia, Pennsylvania (Hybrid). Details on the role are listed below: Consultant Requirements - On-Prem LLM & Vector DB Implementation Core Experience: • Hands-on experience deploying open-source LLMs such as Meta Llama 3 and Mistral / Mixtral in on-prem or private environments • Strong proficiency in Python for LLM inference, prompt engineering, and integration • Experience with CPU-based inference, model quantization, and performance tuning Vector Databases & RAG: • Practical experience with open-source vector databases such as Qdrant, Chroma, Milvus, or Pgvector • Proven implementation of Retrieval-Augmented Generation (RAG) pipelines • Experience generating and managing embeddings and metadata filtering Security & Governance: • Understanding of data privacy, air-gapped deployments, and enterprise security requirements • Experience implementing access controls and audit logging Nice to Have: • Experience with LangChain or LlamaIndex • Exposure to Rust, Go, or C++ for high-performance services • Familiarity with Docker and Kubernetes for on-prem deployments • Knowledge of inference frameworks (e.g., vLLM, llama.cpp, Hugging Face Transformers) • Prior work in regulated or enterprise environments Deliverables: • Reference architecture and deployment guidance • Working prototype (LLM + vector DB + RAG) • Documentation and knowledge transfer to internal teams. TRIGYN IS AN EQUAL OPPORTUNITY EMPLOYER About Trigyn: Trigyn is an IT Services Company that has been in business for 30 years with more than 1,500 resources deployed today. Trigyn is ISO 9001:2015, ISO 27001:2013 (ISMS) and CMMI Level 5 Certified. Trigyn is an E-Verify Employer.

At Whitman, Requardt & Associates, LLP, we are People Focused and Project Driven . We have been in business for more than 110 years and we are known for our quality work and quality employees. This is your chance to join our team - help us to design the infrastructure and buildings that improve the world! WRA is seeking a Full Stack Developer to join our Design Application group in our Baltimore office to provide support to architectural and engineering professionals. The applicant will be responsible for the design and development of enterprise level applications and should be versed in various coding languages for web, mobile, and software applications. The applicant also will be responsible for SQL Database design, analysis, and administration. The applicant should be able to design and develop applications with an emphasis on performance, scalability, robustness, and vitality over time. The applicant will need to formally document applications along with operation and maintenance procedures. Requirements: Bachelor's degree in a technical field such as computer science, computer engineering or related field required 5+ years of experience in developing data driven applications using C#, ASP.NET Core, ASP.NET MVC, and Entity Framework Experience in working with a team of developers to produce production level applications Experience in researching, planning, estimating, and designing applications to meet business needs, including customizations and integration components Experience in developing design and code solutions using best practices and common patterns, including databases, component layers, user interfaces, and web services Experience in coding standards and best practices Experience in the design of web application architecture Possess a strong understanding of security and data protection implementation Experience in troubleshooting and providing customers with knowledgeable "how to" assistance through a thorough understanding of applications and the supported business processes Self-directed and motivated to see and find efficient and cost-effective opportunities for change Ability to supervise, guide, and mentor junior staff, fostering professional growth and team development Ability to manage mission critical or highly available platforms and applications Unit/Integration testing techniques Experience working with graphic designers and converting designs to visual elements Experience with test driven development, and agile engineering practices including continuous integration Experience with HTML, CSS, Bootstrap and JavaScript Experience with relational databases; SQL Server Experience with Agile process and working as part of a distributed team Ability to write and maintain clear, secure, and scalable code Working knowledge of using a distributed version control system within a team environment (i.e., Team Foundation Server/Azure DevOps) Must have excellent communication, customer service, organizational, writing, and problem-solving skills, and be a team player Ability to work independently and manage one's time Must be a US Citizen Applicants with the following experience will be considered favorably: Content management system experience Experience with cloud message APIs and usages of push notifications. Experience with Microsoft Azure, WCAG compliance, REST API design and development Web Server administration Experience with SharePoint development and maintenance Understanding and experience with security fundamentals, role-based security, and familiarity using encryption keys and controls Experience creating web application wireframes and mockups. Good understanding of user experience (UX/UI) concepts and their application in developing an appealing user interface SPA frameworks - Angular, React, Vu Benefits: WRA recognizes that employees play an important role in its success. Our commitment to full-time employees is reflected in the comprehensive benefits package we offer: Flexible work schedule options Competitive salary Leave accrual and paid holidays Healthcare benefits Group Life Insurance, as well as additional optional life Insurance, short and long term disability insurance Flexible spending accounts for medical and dependent care reimbursement 401(k) Retirement Plan Tuition Reimbursement Employee Assistance Program Parental and maternity leave benefits WRA is an equal opportunity/affirmative action employer and complies with all applicable anti-discrimination laws. The expected annual compensation range for this position is $120,000.00 - $165,000.00. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate's relevant knowledge, training, skills, work location, and/or experience. Applicants must be currently authorized to work in the United States on a full-time basis without the need for employment-based visa sponsorship now or in the future. WRA will not sponsor applicants for U.S. work visa status for this opportunity. (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa) Not accepting resumes from 3rd party recruiters for this position Position # 3217 -Onsite - Mid-Level

Job Title: Software Engineer - Mobile Android Client III Location: (City, State) Duration: Contract - 6 months Pay Range: $70/hr $75/hr (W2) Job ID: 406542 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 Software Engineer - Mobile Android Client III to join our team. The ideal candidate will have strong experience in modern Android development, software architecture, performance optimization, and mobile application security and a proven ability to deliver secure, scalable, and customer-centric mobile banking experiences. Responsibilities: Design, develop, test, deploy, and support native Android applications across the SDLC. Build maintainable and scalable solutions using Kotlin, Jetpack, and modern Android frameworks. Deliver customer-facing features for digital banking including servicing, payments, transfers, alerts, authentication, and financial management. Collaborate with Product, UX, Architecture, and backend teams to translate requirements into technical solutions. Perform software design, code analysis, reviews, and architecture assessments using MVVM and Clean Architecture. Develop reusable, modular, and testable components and address risk, technical debt, and performance bottlenecks. Design accessible UIs with Jetpack Compose and Material Design aligned to WCAG/ADA standards. Integrate with RESTful and GraphQL APIs and implement security controls including biometrics, encryption, OAuth, and secure storage. Develop and maintain automated unit, integration, and UI tests; support CI/CD practices. Monitor and optimize performance, memory usage, startup time, responsiveness, and crash rates; perform root cause analysis. Evaluate emerging mobile technologies and contribute to standards, governance, and roadmaps. Provide production support, documentation, incident response, and release management with cross-functional teams. Required Skills & Qualifications: Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or related field. 5+ years of Android application development experience. Strong proficiency in Kotlin and Android SDK. Experience with Jetpack Compose and modern Android UI development. Experience implementing RESTful API integrations; familiarity with GraphQL is valued. Solid understanding of MVVM and object-oriented design principles. Experience with dependency injection frameworks such as Dagger/Hilt or Koin. Experience with Kotlin Coroutines, Flow, and asynchronous programming. Proficiency with Git, source control, and Agile development methodologies. Experience with automated testing, code reviews, and CI/CD pipelines using JUnit, Mockito/MockK, Espresso, and Robolectric. Strong problem-solving, communication, and collaboration skills. Preferred Skills: Experience in mobile banking, fintech, or other regulated financial applications. Experience with GraphQL APIs. Implementation of biometric authentication and mobile security best practices. Knowledge of accessibility standards and mobile usability principles. Experience with multi-module Android application architecture. Experience mentoring engineers and leading technical initiatives. Familiarity with cloud platforms such as AWS or Azure. Experience supporting large-scale enterprise mobile applications. 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.

About Arcticom, LLC Arcticom, LLC provides network and systems administration, enterprise architecture and resource planning, certification and accreditation, software design, programming, maintenance of telecommunications and land mobile radio equipment and systems, help desk support and IT transformation services among other services. About this position: Supply Product Manager Location - Beavercreek, OH The Essential Duties and Responsibilities are intended to present a descriptive list of the range of duties performed for this position and are not intended to reflect all duties performed within the job. Other duties may be assigned. To perform this job successfully, an individual must be able to satisfactorily perform each essential duty. The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the position. Wage/Salary Range: $135k - $155k Applicants will be notified via phone or email within ten (10) business days of submittal. Essential Duties & Responsibilities Advise and assist highly skilled Product Owners to help drive further growth through the continued development and maintenance of the products within product center. Develop product management processes and toolsets for their assigned product center and respective roadmap. Works with Government Value Center lead to align portfolio managers and stakeholders around the vision for the Value Center Manages the work of the product center. Aligns priority across products within the product center Allocating requirements to Product Teams and ensuring that the Product Teams are driving towards the business outcomes provided. Removing blockers as escalated from Product Teams. Manages priorities across Product Teams according to customer direction. Required (Minimum Necessary) Qualifications Education Requirements: Bachelor of Science Degree, preferably in computer science or related major, or 5-10 years equivalent experience. Level of Experience Requirements: Three (3) years' experience as a Product Owner and with managing multiple IT projects. Ten (10) years' experience in Supply Two (2) years' experience with continuous integration/continuous delivery operations. Must hold or be able to obtain a SECRET security clearance; requires U.S. citizenship Knowledge, Skills, Abilities, and Other Characteristics Ability to lead a cross-functional Value Center Agile team in the development and support of new product initiatives spanning many internal teams. Comprehensive knowledge of logistics systems affected in Supply Value Center Ability to manage our supply needs, including analytics to understand and coordinate across the logistics portfolio. Ability to gather and generate requirements for product evolution based on market analysis and end user (or internal team) interactions. Ability to lead in communicating project readiness. Identify, prioritize and manage key challenges and risks of a given product. Ability to establish Value Center roadmap with cross-functional teams, and internal and external stakeholders. Ability to analyze data to make decisions and comfortable gathering it yourself. Ability to cut to the core of a problem, identify what needs to be done and work with the teams to get products launched. Ability to clearly and effectively communicate and maintain relationships with a diverse group of internal and external stakeholders and partners. Preferred N/A Supervisory Responsibilities This position will have supervisory responsibilities. DOT Covered/Safety-Sensitive Role Requirements This position is not subject to federal requirements regarding Department of Transportation "safety-sensitive" functions. Necessary Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this role. Employees must always maintain a constant state of mental alertness. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Work Environment The work environmental characteristics described here are representative of those that must be borne by an employee to successfully perform the essential functions of the role. Employees must always maintain a constant state of situational awareness. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Additional Qualifying Factors As a condition of employment, you will be required to pass a pre-employment drug screening and have acceptable background check results. If applicable to the contract, you must also obtain and maintain the appropriate clearance levels required and must also be able to obtain access to military installations. Shareholder Preference BSNC gives hiring, promotion, training, and retention preference to BSNC shareholders, shareholder descendants and shareholder spouses who meet the minimum qualifications for the job. Bering Straits Native Corporation is an equal opportunity employer. All applicants will receive consideration for employment without regard to any status protected by state or federal law, or any other basis prohibited by law.

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

DCS is an employee-owned organization with a reputation for agile and efficient development of technology solutions for U.S. Defense, Aerospace, Human Factors, and Security markets. We continue to provide innovative solutions with multidisciplinary teams formed with exceptional employees. The DCS Air and Space Technology Sector is seeking a qualified candidate to apply advanced knowledge in the areas of software engineering, systems engineering, DevSecOps, and information technology for the technical design, development, modernization, integration, and sustainment of complex software systems supporting U.S. Department of Defense customers. As a member of our team, the successful candidate will support software development and modernization efforts in a secure DoD environment, including work associated with PlatformOne-aligned development practices, cloud-enabled software delivery, CI/CD pipelines, automated testing, secure coding, and mission application sustainment. This position requires an experienced technical contributor who can work under broadly defined direction, apply advanced engineering principles, and provide high-level technical guidance to engineers, managers, and customers. The candidate must be able to work independently and as part of a broader technical team. Successful candidates will have strong problem-solving skills, sound technical judgment, effective oral and written communication skills, and the ability to support complex software efforts in fast-paced mission environments. Essential Job Functions: Design, develop, test, integrate, and sustain software capabilities in support of DoD mission systems. Support modernization of existing applications, services, and user interfaces using current software engineering practices. Develop and maintain software components using object-oriented and web-based technologies. Support secure software development practices, including code quality analysis, vulnerability remediation, automated testing, and configuration management. Develop, maintain, and improve CI/CD pipelines and related software delivery processes. Support containerized or cloud-enabled software development environments, as required. Troubleshoot, analyze, and resolve complex software, integration, performance, and deployment issues. Work with engineers, managers, cybersecurity personnel, and customers to define requirements, assess technical approaches, and deliver mission-focused solutions. Provide technical guidance to software engineers and support disciplined development practices across the team. Prepare and maintain technical documentation, user documentation, installation guidance, and status materials. Support software deployments, testing activities, and operational sustainment in classified or controlled environments. Use initiative and independent judgment to develop solutions to complex technical problems. Perform additional duties as required. Required Skills: Due to the sensitivity of customer-related requirements, U.S. Citizenship is required. Active Top Secret security clearance, with the ability to maintain clearance eligibility. Bachelor's degree in Computer Science, Computer Engineering, Information Technology, Systems Engineering, or a related technical discipline, and at least 12 years of related experience; or a Master's degree and at least 10 years of related experience; or a PhD and at least 7 years of related experience. Experience designing, developing, testing, and sustaining complex software systems, including PlatformOne. Experience supporting PlatformOne, Cloud One, Iron Bank, Big Bang, Kubernetes, OpenShift, Docker, Helm, or similar DoD cloud/container platforms. Experience with object-oriented software development and modern software engineering practices. Experience developing web-based applications, services, APIs, or enterprise software capabilities. Experience using source control, issue tracking, automated build, and software configuration management tools. Experience supporting secure software development, vulnerability remediation, or software assurance activities. Ability to work independently under broadly defined direction. Ability to provide technical guidance to engineers, managers, and customers. Excellent written and verbal communication skills. Ability to work effectively in a team environment. Desired Skills: Experience developing or maintaining CI/CD pipelines using tools such as Jenkins, GitLab CI/CD, GitHub Actions, or similar technologies. Experience with DevSecOps principles, automated testing, static code analysis, vulnerability scanning, and secure deployment practices. Experience with Java, JavaScript, TypeScript, React, NodeJS, Python, C++, or similar development languages and frameworks. Experience with relational databases, SQL, data management, data integration, or enterprise service architectures. Experience with DoD cybersecurity requirements, RMF, ATO support, STIGs, or classified network deployment processes. Experience modernizing legacy applications or migrating older systems to current frameworks and architectures. Experience supporting Air Force, DoD, Intelligence Community, or mission-planning software systems. Experience working in Agile, Scrum, Kanban, or similar software development environments. Experience creating technical documentation, user guides, briefings, and status reports.

About Arcticom, LLC Arcticom, LLC provides network and systems administration, enterprise architecture and resource planning, certification and accreditation, software design, programming, maintenance of telecommunications and land mobile radio equipment and systems, help desk support and IT transformation services among other services. About this position: Network Technician Location - Anchorage, AK The Essential Duties and Responsibilities are intended to present a descriptive list of the range of duties performed for this position and are not intended to reflect all duties performed within the job. Other duties may be assigned. To perform this job successfully, an individual must be able to satisfactorily perform each essential duty. The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the position. Applicants will be notified via phone or email within ten (10) business days of submittal. Essential Duties & Responsibilities Install and terminate Cat5e/6/6a cabling, fiber, and associated infrastructure for cameras, access control, and VTC endpoints. Mount and configure IP security cameras (fixed, PTZ, thermal, etc.) and integrate with Video Management Systems (VMS). Deploy and program access control systems (door controllers, readers, biometrics, electrified hardware). Set up and calibrate video teleconferencing equipment (cameras, microphones, displays, room panels) for platforms such as Zoom Rooms, Microsoft Teams Rooms, Cisco, Poly, and Crestron. Integrate all devices onto the network with proper IP addressing, VLANs, QoS, and PoE configurations. Diagnose and resolve connectivity, performance, and interoperability issues. Support IT and RF projects including network infrastructure upgrades, wireless LAN deployments, point-to-point microwave links, two-way radio systems, antennas, and RF cabling. Perform site surveys, RF coverage testing, preventive maintenance, firmware updates, and documentation (as-builts, cable maps). Provide end-user training and Tier-2 technical support. Participate in on-call rotation for after-hours support and emergency response. Required (Minimum Necessary) Qualifications Education Requirements: High school diploma required. Level of Experience Requirements: 3+ years of hands-on experience installing and supporting IP cameras, access control, video conferencing, and/or RF/wireless systems. Solid knowledge of IP networking (TCP/IP, subnets, VLANs, routing, switching, PoE). Experience with RF fundamentals: signal strength testing, coax/fiber termination, antenna alignment. Valid driver's license and clean driving record. Knowledge, Skills, Abilities, and Other Characteristics Proficiency with tools: cable certifiers, tone generators, OTDR, multimeters, RF power meters, and basic power tools. Ability to read blueprints, schematics, and RF site plans. Strong troubleshooting and problem-solving skills in hybrid IT/RF environments. Commitment to safety, quality, and customer satisfaction. Preferred Associate's or Bachelor's degree in IT, Electronics, Telecommunications, or related field. Manufacturer certifications (Axis, Bosch, LenelS2, Crestron, Cisco, Poly, etc.). CompTIA Network+, Security+, or CCNA; RF/Wireless certifications (CWNA, etc.). Experience with wireless controllers, two-way radio systems (Motorola), or microwave backhaul. Supervisory Responsibilities This position will not have supervisory responsibilities. DOT Covered/Safety-Sensitive Role Requirements This position is not subject to federal requirements regarding Department of Transportation "safety-sensitive" functions. Necessary Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this role. Employees must always maintain a constant state of mental alertness. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Must be able to lift up to 50 lbs, work at heights (ladders, rooftops, towers), and in confined spaces. Must be able to work indoors, outdoors and in active construction environments. Regularly required to stoop, kneel, and bend during work. Ability to sit for extended periods along with periodic standing and walking short distances. Proficiency in using standard office equipment, including keyboards and computers. Close visual acuity and ability to hear in a typical office environment. Work Environment The work environmental characteristics described here are representative of those that must be borne by an employee to successfully perform the essential functions of the role. Employees must always maintain a constant state of situational awareness. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Physical Setting: Mix of warehouse/shop, office, and field/construction sites (Anchorage and remote locations). Schedule and Flexibility: Standard hours (8am to 5pm) with occasional after-hours, on-call, and travel to remote or field locations. Other Pertinent Work Details: Active construction environments, outdoor and indoor work, and occasional exposure to varying weather conditions. Additional Qualifying Factors As a condition of employment, you will be required to pass a pre-employment drug screening and have acceptable background check results. If applicable to the contract, you must also obtain and maintain the appropriate clearance levels required and must also be able to obtain access to military installations. Shareholder Preference BSNC gives hiring, promotion, training, and retention preference to BSNC shareholders, shareholder descendants and shareholder spouses who meet the minimum qualifications for the job. Bering Straits Native Corporation is an equal opportunity employer. All applicants will receive consideration for employment without regard to any status protected by state or federal law, or any other basis prohibited by law.