Job Description Job Description Data Architect openings There is a required ROPES assessment 6-12 month contract that may go perm Remote but must be local to EST or CST Must work EST hours Candidates must be very strong Data Archs Must be Proactive Must produce results Data Modeling Data Design AI Forward Thinking Excellent Comm skills Data Architecture for Transaction Architecture for Consumption The Principal Architect, Data architecture and Solution Engineering, will be responsible for developing and executing the data strategy at the business unit level that powers the most advanced end-to-end solution architecture from transactional Systems of record to AI driven business intelligence for highly complex and significant technology transformation initiatives in partnership with key business and IT stakeholders.
10/30/2026
Full time
Job Description Job Description Data Architect openings There is a required ROPES assessment 6-12 month contract that may go perm Remote but must be local to EST or CST Must work EST hours Candidates must be very strong Data Archs Must be Proactive Must produce results Data Modeling Data Design AI Forward Thinking Excellent Comm skills Data Architecture for Transaction Architecture for Consumption The Principal Architect, Data architecture and Solution Engineering, will be responsible for developing and executing the data strategy at the business unit level that powers the most advanced end-to-end solution architecture from transactional Systems of record to AI driven business intelligence for highly complex and significant technology transformation initiatives in partnership with key business and IT stakeholders.
Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh
10/30/2026
Full time
Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh
Job Description Job Description Job Title: Security Architect We are seeking a highly skilled and experienced Security Architect with a strong background in Agile methodologies. The ideal candidate will be responsible for designing and implementing robust security architectures that protect our organization's information systems and data. This role requires a deep understanding of security principles, risk management, and the ability to work collaboratively in an Agile environment. Responsibilities: Design and implement security architectures that align with business objectives and compliance requirements. Conduct risk assessments and vulnerability analyses to identify potential security threats and recommend mitigation strategies. Collaborate with cross functional teams to integrate security practices into Agile development processes. Develop and maintain security policies, standards, and procedures to ensure the protection of sensitive information. Provide guidance and support to development teams on secure coding practices and security best practices. Stay current with emerging security technologies and trends to continuously improve the security posture of the organization. Lead security audits and assessments to ensure compliance with industry standards and regulations. Communicate security risks and recommendations to stakeholders at all levels of the organization. Mandatory Skills: 15+ years of experience in information security, with a focus on security architecture. Strong knowledge of Agile methodologies and experience working in Agile environments. Expertise in security frameworks such as NIST, ISO 27001, and CIS. Proficiency in risk management and vulnerability assessment tools. Experience with cloud security and securing cloud based applications. Strong analytical and problem solving skills. Excellent communication and interpersonal skills. Preferred Skills: Certifications such as CISSP, CISM, or CEH. Experience with DevSecOps practices. Knowledge of regulatory requirements such as GDPR, HIPAA, or PCI DSS. Familiarity with security tools such as SIEM, IDS/IPS, and firewalls. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Master's degree or relevant certifications are a plus. Proven track record of successfully implementing security solutions in complex environments. If you are a seasoned Security Architect with a passion for Agile methodologies and a commitment to safeguarding information systems, we encourage you to apply for this exciting opportunity.
10/30/2026
Full time
Job Description Job Description Job Title: Security Architect We are seeking a highly skilled and experienced Security Architect with a strong background in Agile methodologies. The ideal candidate will be responsible for designing and implementing robust security architectures that protect our organization's information systems and data. This role requires a deep understanding of security principles, risk management, and the ability to work collaboratively in an Agile environment. Responsibilities: Design and implement security architectures that align with business objectives and compliance requirements. Conduct risk assessments and vulnerability analyses to identify potential security threats and recommend mitigation strategies. Collaborate with cross functional teams to integrate security practices into Agile development processes. Develop and maintain security policies, standards, and procedures to ensure the protection of sensitive information. Provide guidance and support to development teams on secure coding practices and security best practices. Stay current with emerging security technologies and trends to continuously improve the security posture of the organization. Lead security audits and assessments to ensure compliance with industry standards and regulations. Communicate security risks and recommendations to stakeholders at all levels of the organization. Mandatory Skills: 15+ years of experience in information security, with a focus on security architecture. Strong knowledge of Agile methodologies and experience working in Agile environments. Expertise in security frameworks such as NIST, ISO 27001, and CIS. Proficiency in risk management and vulnerability assessment tools. Experience with cloud security and securing cloud based applications. Strong analytical and problem solving skills. Excellent communication and interpersonal skills. Preferred Skills: Certifications such as CISSP, CISM, or CEH. Experience with DevSecOps practices. Knowledge of regulatory requirements such as GDPR, HIPAA, or PCI DSS. Familiarity with security tools such as SIEM, IDS/IPS, and firewalls. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Master's degree or relevant certifications are a plus. Proven track record of successfully implementing security solutions in complex environments. If you are a seasoned Security Architect with a passion for Agile methodologies and a commitment to safeguarding information systems, we encourage you to apply for this exciting opportunity.
Job Description Job Description Job Title: Platform/DevOps Engineer We are seeking a highly skilled Platform/DevOps Engineer with a strong background in Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). The ideal candidate will be responsible for designing, implementing, and maintaining scalable and efficient platforms that support AI/ML/DL applications. This role requires a deep understanding of DevOps practices and tools, as well as a passion for leveraging cutting edge technologies to drive innovation. Responsibilities: Design, implement, and manage CI/CD pipelines for AI/ML/DL applications. Collaborate with data scientists and software engineers to optimize model deployment and performance. Monitor and maintain platform health, ensuring high availability and reliability. Automate infrastructure provisioning and management using Infrastructure as Code (IaC) tools. Implement security best practices for AI/ML/DL environments. Conduct performance tuning and optimization of AI/ML/DL models in production. Stay updated with the latest trends and technologies in AI/ML/DL and DevOps. Provide technical support and troubleshooting for platform related issues. Mandatory Skills: Strong knowledge of AI, ML, and DL concepts and frameworks (e.g., TensorFlow, PyTorch, Scikit learn). Proficiency in DevOps tools and practices (e.g., Docker, Kubernetes, Jenkins, Git). Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services. Solid understanding of scripting languages (e.g., Python, Bash). Experience with Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation). Strong problem solving skills and ability to work in a fast paced environment. Preferred Skills: Experience with data engineering and ETL processes. Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack). Knowledge of container orchestration and microservices architecture. Experience with Agile methodologies and project management tools. Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. 5 7 years of experience in Platform/DevOps engineering with a focus on AI/ML/DL. Proven track record of successful project delivery in a contractor role. Excellent communication and collaboration skills. If you are a passionate Platform/DevOps Engineer with a strong AI/ML/DL background and are looking for an exciting opportunity to work remotely, we encourage you to apply.
10/30/2026
Full time
Job Description Job Description Job Title: Platform/DevOps Engineer We are seeking a highly skilled Platform/DevOps Engineer with a strong background in Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). The ideal candidate will be responsible for designing, implementing, and maintaining scalable and efficient platforms that support AI/ML/DL applications. This role requires a deep understanding of DevOps practices and tools, as well as a passion for leveraging cutting edge technologies to drive innovation. Responsibilities: Design, implement, and manage CI/CD pipelines for AI/ML/DL applications. Collaborate with data scientists and software engineers to optimize model deployment and performance. Monitor and maintain platform health, ensuring high availability and reliability. Automate infrastructure provisioning and management using Infrastructure as Code (IaC) tools. Implement security best practices for AI/ML/DL environments. Conduct performance tuning and optimization of AI/ML/DL models in production. Stay updated with the latest trends and technologies in AI/ML/DL and DevOps. Provide technical support and troubleshooting for platform related issues. Mandatory Skills: Strong knowledge of AI, ML, and DL concepts and frameworks (e.g., TensorFlow, PyTorch, Scikit learn). Proficiency in DevOps tools and practices (e.g., Docker, Kubernetes, Jenkins, Git). Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services. Solid understanding of scripting languages (e.g., Python, Bash). Experience with Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation). Strong problem solving skills and ability to work in a fast paced environment. Preferred Skills: Experience with data engineering and ETL processes. Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack). Knowledge of container orchestration and microservices architecture. Experience with Agile methodologies and project management tools. Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. 5 7 years of experience in Platform/DevOps engineering with a focus on AI/ML/DL. Proven track record of successful project delivery in a contractor role. Excellent communication and collaboration skills. If you are a passionate Platform/DevOps Engineer with a strong AI/ML/DL background and are looking for an exciting opportunity to work remotely, we encourage you to apply.
Job Description Job Description Job Title: Application Developer Location: Tulsa, Oklahoma Work Model: Onsite Responsibilities Provide application support and maintenance for mobile payment platforms, ensuring system uptime and performance. Troubleshoot and resolve production incidents, including payment processing issues, API failures, and transaction discrepancies. Develop, enhance, and maintain applications using C# / .NET technologies. Write and optimize SQL Server queries, stored procedures, and database performance tuning. Collaborate with cross-functional teams (engineering, product, security, and operations) to deliver high-quality solutions. Support integrations with third-party payment providers and financial services APIs. Monitor system health, logs, and transaction flows to proactively identify and resolve issues. Participate in on-call rotations and provide timely response to critical production events. Assist in cloud migration and hybrid architecture support, working across on-prem and cloud environments (Azure, AWS, or similar). Implement and follow secure coding and compliance standards relevant to financial transactions (PCI, data protection, etc.). Contribute to continuous improvement initiatives, including automation, monitoring, and performance optimization. Requirements Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience). 3+ years of experience in application development and support roles. Strong proficiency in: C# / .NET Framework / .NET Core, Microsoft SQL Server (query design, performance tuning, stored procedures). Experience supporting financial systems or mobile payment platforms (e.g., Cash App, Venmo, Apple Pay, Zelle, or similar). Hands-on experience with hybrid environments (on-premises + cloud). Familiarity with REST APIs, microservices architecture, and integration patterns . Experience with incident management, root cause analysis, and production support processes . Understanding of secure development practices and financial data handling . Experience with cloud platforms such as Azure or AWS (Preferred). Knowledge of payment processing flows, digital wallets, or fintech systems (Preferred). Familiarity with monitoring tools (Splunk, App Insights, Dynatrace, etc.) (Preferred). Experience with DevOps practices, CI/CD pipelines, and automation tools (Preferred). Exposure to containerization (Docker/Kubernetes) (Preferred). Strong troubleshooting and problem-solving skills in high-pressure environments. Excellent communication and collaboration skills. Proactive mindset with focus on system reliability and improvement. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Tulsa
10/30/2026
Full time
Job Description Job Description Job Title: Application Developer Location: Tulsa, Oklahoma Work Model: Onsite Responsibilities Provide application support and maintenance for mobile payment platforms, ensuring system uptime and performance. Troubleshoot and resolve production incidents, including payment processing issues, API failures, and transaction discrepancies. Develop, enhance, and maintain applications using C# / .NET technologies. Write and optimize SQL Server queries, stored procedures, and database performance tuning. Collaborate with cross-functional teams (engineering, product, security, and operations) to deliver high-quality solutions. Support integrations with third-party payment providers and financial services APIs. Monitor system health, logs, and transaction flows to proactively identify and resolve issues. Participate in on-call rotations and provide timely response to critical production events. Assist in cloud migration and hybrid architecture support, working across on-prem and cloud environments (Azure, AWS, or similar). Implement and follow secure coding and compliance standards relevant to financial transactions (PCI, data protection, etc.). Contribute to continuous improvement initiatives, including automation, monitoring, and performance optimization. Requirements Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience). 3+ years of experience in application development and support roles. Strong proficiency in: C# / .NET Framework / .NET Core, Microsoft SQL Server (query design, performance tuning, stored procedures). Experience supporting financial systems or mobile payment platforms (e.g., Cash App, Venmo, Apple Pay, Zelle, or similar). Hands-on experience with hybrid environments (on-premises + cloud). Familiarity with REST APIs, microservices architecture, and integration patterns . Experience with incident management, root cause analysis, and production support processes . Understanding of secure development practices and financial data handling . Experience with cloud platforms such as Azure or AWS (Preferred). Knowledge of payment processing flows, digital wallets, or fintech systems (Preferred). Familiarity with monitoring tools (Splunk, App Insights, Dynatrace, etc.) (Preferred). Experience with DevOps practices, CI/CD pipelines, and automation tools (Preferred). Exposure to containerization (Docker/Kubernetes) (Preferred). Strong troubleshooting and problem-solving skills in high-pressure environments. Excellent communication and collaboration skills. Proactive mindset with focus on system reliability and improvement. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Tulsa
Machine Learning Engineer 5, Senior Manager - Intelligent Foundations and Experiences (IFX) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: 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 Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale 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 or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field +2 years experience building production RAG pipelines (chunking, embeddings, vector indexing, graph RAG, or fine-tuning). +2 years experience leveraging Agentic patterns (Tool Calling, ReAct loops, Plan-and-Execute, Multi-Agent Collaboration). +2 years with LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel) and model APIs (OpenAI, Anthropic, Bedrock, Ollama, Hugging Face). +2 year experience in building agentic AI systems and agentic workflows +2 year experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang +2 years Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning 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 Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 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).
10/30/2026
Full time
Machine Learning Engineer 5, Senior Manager - Intelligent Foundations and Experiences (IFX) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: 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 Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale 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 or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field +2 years experience building production RAG pipelines (chunking, embeddings, vector indexing, graph RAG, or fine-tuning). +2 years experience leveraging Agentic patterns (Tool Calling, ReAct loops, Plan-and-Execute, Multi-Agent Collaboration). +2 years with LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel) and model APIs (OpenAI, Anthropic, Bedrock, Ollama, Hugging Face). +2 year experience in building agentic AI systems and agentic workflows +2 year experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang +2 years Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning 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 Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 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).
Job Description Job Description Overview Ensures the efficient execution of high-quality business processes that deliver software products to the Bank s Institutional Services (IS) customers through the design, development and execution of automated test scripts. Works with cross-functional teams to identify test scenarios, implement automation frameworks, and detect and report software defects to support the software development lifecycle. Primary Responsibilities: Design, develop and maintain scalable and robust automation frameworks (UI (User Interface), API (Application Programming Interface) and performance. Define and implement the overall test automation strategy, including tooling, scripting, and architecture decisions. Evaluate, recommend and implement new testing tools and technologies; explore ways to improve testing efficiency and coverage through AI-assisted tools and practices. Collaborate with Development teams to understand system architecture and implementation; collaborate with Product Owner team by engaging in regular sprint planning and backlog grooming sessions to understand product requirements and acceptance criteria, translating them into comprehensive test automation strategies that ensure coverage of both functional and non-functional requirements. Collaborate with engineers to integrate automated tests into CI/CD (Continuous Integration/Continuous Deployment) pipelines using pertinent tools ensuring seamless and efficient test execution throughout the development life cycle. Review code and test scripts to ensure quality, scalability, and maintainability. Drive test data strategy and environment management for automation needs. Contribute to performance, security and load testing strategy and implementation. Continuously monitor and improve test automation metrics and KPIs (Key Performance Indicators). Publish automation test execution status report with traceability of test coverage at feature level and communicate it to stakeholders to ensure their awareness of progress and identify any issues upfront. Solve complex technical and operational problems. Serve as a resource for less experienced teammates. Understand and adhere to the Company s risk and regulatory standards, policies and controls in accordance with the Company s Risk Appetite. Identify risk-related issues needing escalation to management. Promote an environment that supports a culture of belonging and reflects the brand. Maintain Company's internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable. Complete other related duties as assigned. Scope of Responsibilities: Supervisory/Managerial Responsibilities: No Supervisory Responsibilities EEO: Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.
10/30/2026
Full time
Job Description Job Description Overview Ensures the efficient execution of high-quality business processes that deliver software products to the Bank s Institutional Services (IS) customers through the design, development and execution of automated test scripts. Works with cross-functional teams to identify test scenarios, implement automation frameworks, and detect and report software defects to support the software development lifecycle. Primary Responsibilities: Design, develop and maintain scalable and robust automation frameworks (UI (User Interface), API (Application Programming Interface) and performance. Define and implement the overall test automation strategy, including tooling, scripting, and architecture decisions. Evaluate, recommend and implement new testing tools and technologies; explore ways to improve testing efficiency and coverage through AI-assisted tools and practices. Collaborate with Development teams to understand system architecture and implementation; collaborate with Product Owner team by engaging in regular sprint planning and backlog grooming sessions to understand product requirements and acceptance criteria, translating them into comprehensive test automation strategies that ensure coverage of both functional and non-functional requirements. Collaborate with engineers to integrate automated tests into CI/CD (Continuous Integration/Continuous Deployment) pipelines using pertinent tools ensuring seamless and efficient test execution throughout the development life cycle. Review code and test scripts to ensure quality, scalability, and maintainability. Drive test data strategy and environment management for automation needs. Contribute to performance, security and load testing strategy and implementation. Continuously monitor and improve test automation metrics and KPIs (Key Performance Indicators). Publish automation test execution status report with traceability of test coverage at feature level and communicate it to stakeholders to ensure their awareness of progress and identify any issues upfront. Solve complex technical and operational problems. Serve as a resource for less experienced teammates. Understand and adhere to the Company s risk and regulatory standards, policies and controls in accordance with the Company s Risk Appetite. Identify risk-related issues needing escalation to management. Promote an environment that supports a culture of belonging and reflects the brand. Maintain Company's internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable. Complete other related duties as assigned. Scope of Responsibilities: Supervisory/Managerial Responsibilities: No Supervisory Responsibilities EEO: Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.
Machine Learning Engineer 5, Senior Manager - Intelligent Foundations and Experiences (IFX) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: 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 Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale 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 or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field +2 years experience building production RAG pipelines (chunking, embeddings, vector indexing, graph RAG, or fine-tuning). +2 years experience leveraging Agentic patterns (Tool Calling, ReAct loops, Plan-and-Execute, Multi-Agent Collaboration). +2 years with LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel) and model APIs (OpenAI, Anthropic, Bedrock, Ollama, Hugging Face). +2 year experience in building agentic AI systems and agentic workflows +2 year experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang +2 years Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning 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 Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 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).
10/30/2026
Full time
Machine Learning Engineer 5, Senior Manager - Intelligent Foundations and Experiences (IFX) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: 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 Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale 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 or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field +2 years experience building production RAG pipelines (chunking, embeddings, vector indexing, graph RAG, or fine-tuning). +2 years experience leveraging Agentic patterns (Tool Calling, ReAct loops, Plan-and-Execute, Multi-Agent Collaboration). +2 years with LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel) and model APIs (OpenAI, Anthropic, Bedrock, Ollama, Hugging Face). +2 year experience in building agentic AI systems and agentic workflows +2 year experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang +2 years Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning 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 Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 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).
Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh
10/30/2026
Full time
Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh
Job Description Job Description This is NOT a remote position Job Description Eccalon is seeking a Senior SDET / QA Automation Engineer to build and own the automated testing strategy across our web applications and backend services supporting DoD, Intelligence, and enterprise programs. You will design and maintain robust test frameworks, integrate quality gates into CI/CD pipelines, and ensure the reliability of systems operating in regulated, compliance-driven environments. This is a hands-on senior role with broad visibility across the full engineering stack-working directly with software engineers, DevOps, and product teams to shift quality left and keep mission-critical software shipping with confidence. Responsibilities Test Automation & Framework Development Design, build, and maintain end-to-end UI automation frameworks using Playwright and/or Cypress across multiple web applications (e.g., lynxconnect.io, ). Develop and maintain API and backend test suites using Postman collections and REST Assured; validate authentication flows, data integrity, and service contracts. Write clean, maintainable test code in Python and/or JavaScript/TypeScript ; enforce consistent standards through code reviews and shared libraries. Build reusable test utilities, fixtures, and data factories that reduce test setup overhead and improve suite reliability. CI/CD Integration & Quality Gates Integrate automated test suites into CI/CD pipelines (GitLab CI/CD) to enforce quality gates on every pull request and deployment. Configure and maintain synthetic monitoring scripts (e.g., Playwright-based uptime checks) for production applications; triage and resolve false positives. Define and track test coverage metrics, pass rates, and flakiness trends; report quality signals to engineering leadership. API & Backend Testing Validate REST APIs against specifications; test authentication and authorization flows including OAuth2, SAML, OIDC, and JIT provisioning patterns. Develop data-driven test scenarios against AWS-hosted services (RDS/PostgreSQL, DynamoDB, Cognito) and Azure-backed platforms (GCC High). Collaborate with backend engineers to identify testability gaps in service design and recommend interface contracts that support automation. Cross-functional Collaboration & Quality Strategy Partner with DevOps, software engineering, and IT teams to embed testing earlier in the development lifecycle; contribute to definition-of-done criteria. Serve as the quality subject matter expert on the team-mentoring engineers on test best practices, automation patterns, and tooling selection. Maintain test documentation, test plans, and traceability matrices that satisfy compliance audit and ATO evidence requirements. Evaluate and recommend improvements to the overall QA toolchain and processes as applications and team scale. Required Qualifications Bachelor's degree in Computer Science, Engineering, or related field-or equivalent practical experience. 5+ years of experience in software development engineering in test (SDET), QA automation, or a related discipline. Hands-on proficiency with Playwright and/or Cypress for end-to-end UI test automation. Strong API testing skills using Postman (including collections, environments, and Newman for CI execution) and/or REST Assured. Solid programming skills in JavaScript/TypeScript and/or Python; ability to write production-quality test code, not just record-and-replay scripts. Experience integrating test automation into CI/CD pipelines (GitLab CI/CD, or Jenkins). Familiarity with AWS services (Cognito, RDS, DynamoDB, CloudWatch) and how they factor into end-to-end test design. Experience testing authentication and authorization flows (OAuth2, SAML, OIDC, MFA). Strong understanding of HTTP, REST, JSON, and web application architecture. Ability to work independently, prioritize across multiple projects, and communicate quality risk clearly to technical and non-technical stakeholders. Preferred Qualifications Experience with synthetic monitoring and uptime automation (e.g., Playwright-based health checks, Pingdom scripting). Familiarity with NIST 800-171, CMMC, or FedRAMP testing and traceability requirements. Experience testing applications hosted on Azure GCC High or AWS GovCloud environments. Background in performance or load testing (k6, JMeter, or Locust). Experience with accessibility testing (WCAG 2.1, 508 compliance) and security-focused test cases (OWASP Top 10 validation). ISTQB certification or equivalent QA/testing credential.
10/30/2026
Full time
Job Description Job Description This is NOT a remote position Job Description Eccalon is seeking a Senior SDET / QA Automation Engineer to build and own the automated testing strategy across our web applications and backend services supporting DoD, Intelligence, and enterprise programs. You will design and maintain robust test frameworks, integrate quality gates into CI/CD pipelines, and ensure the reliability of systems operating in regulated, compliance-driven environments. This is a hands-on senior role with broad visibility across the full engineering stack-working directly with software engineers, DevOps, and product teams to shift quality left and keep mission-critical software shipping with confidence. Responsibilities Test Automation & Framework Development Design, build, and maintain end-to-end UI automation frameworks using Playwright and/or Cypress across multiple web applications (e.g., lynxconnect.io, ). Develop and maintain API and backend test suites using Postman collections and REST Assured; validate authentication flows, data integrity, and service contracts. Write clean, maintainable test code in Python and/or JavaScript/TypeScript ; enforce consistent standards through code reviews and shared libraries. Build reusable test utilities, fixtures, and data factories that reduce test setup overhead and improve suite reliability. CI/CD Integration & Quality Gates Integrate automated test suites into CI/CD pipelines (GitLab CI/CD) to enforce quality gates on every pull request and deployment. Configure and maintain synthetic monitoring scripts (e.g., Playwright-based uptime checks) for production applications; triage and resolve false positives. Define and track test coverage metrics, pass rates, and flakiness trends; report quality signals to engineering leadership. API & Backend Testing Validate REST APIs against specifications; test authentication and authorization flows including OAuth2, SAML, OIDC, and JIT provisioning patterns. Develop data-driven test scenarios against AWS-hosted services (RDS/PostgreSQL, DynamoDB, Cognito) and Azure-backed platforms (GCC High). Collaborate with backend engineers to identify testability gaps in service design and recommend interface contracts that support automation. Cross-functional Collaboration & Quality Strategy Partner with DevOps, software engineering, and IT teams to embed testing earlier in the development lifecycle; contribute to definition-of-done criteria. Serve as the quality subject matter expert on the team-mentoring engineers on test best practices, automation patterns, and tooling selection. Maintain test documentation, test plans, and traceability matrices that satisfy compliance audit and ATO evidence requirements. Evaluate and recommend improvements to the overall QA toolchain and processes as applications and team scale. Required Qualifications Bachelor's degree in Computer Science, Engineering, or related field-or equivalent practical experience. 5+ years of experience in software development engineering in test (SDET), QA automation, or a related discipline. Hands-on proficiency with Playwright and/or Cypress for end-to-end UI test automation. Strong API testing skills using Postman (including collections, environments, and Newman for CI execution) and/or REST Assured. Solid programming skills in JavaScript/TypeScript and/or Python; ability to write production-quality test code, not just record-and-replay scripts. Experience integrating test automation into CI/CD pipelines (GitLab CI/CD, or Jenkins). Familiarity with AWS services (Cognito, RDS, DynamoDB, CloudWatch) and how they factor into end-to-end test design. Experience testing authentication and authorization flows (OAuth2, SAML, OIDC, MFA). Strong understanding of HTTP, REST, JSON, and web application architecture. Ability to work independently, prioritize across multiple projects, and communicate quality risk clearly to technical and non-technical stakeholders. Preferred Qualifications Experience with synthetic monitoring and uptime automation (e.g., Playwright-based health checks, Pingdom scripting). Familiarity with NIST 800-171, CMMC, or FedRAMP testing and traceability requirements. Experience testing applications hosted on Azure GCC High or AWS GovCloud environments. Background in performance or load testing (k6, JMeter, or Locust). Experience with accessibility testing (WCAG 2.1, 508 compliance) and security-focused test cases (OWASP Top 10 validation). ISTQB certification or equivalent QA/testing credential.
Job Description Job Description Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies. We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business. We are hiring a DevOps Engineer to design, automate, and scale cloud-native infrastructure supporting enterprise-grade applications. This role will own Kubernetes environments, CI/CD pipelines, and cloud platform operations in Google Cloud Platform (GCP). The ideal candidate brings strong automation discipline and experience operating production-grade distributed systems. Responsibilities Design, deploy, and operate Kubernetes clusters in production environments Build and maintain CI/CD pipelines to support secure and repeatable deployments Implement and manage service mesh architectures using Istio Administer and optimize Google Cloud Platform infrastructure Integrate Jira workflows into development and release processes Monitor, troubleshoot, and improve reliability, performance, and security Collaborate with engineering teams to implement infrastructure as code and automation standards Additional duties as required Minimum Requirements 5 years of experience in DevOps, Site Reliability Engineering, or Infrastructure Engineering 3 years of hands-on Kubernetes administration in production environments 3 years of experience building and maintaining CI/CD pipelines 3 years of experience with Google Cloud Platform (GCP) 2 years of experience implementing and managing Istio service mesh Experience administering Jira for engineering workflow management Preferred Qualifications Experience with Infrastructure as Code tools (Terraform or similar) Experience with container security and vulnerability management Experience supporting microservices-based architectures Google Cloud Professional certification Experience operating highly available distributed systems About Reply Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services. The base compensation range for this full-time position is between $140,000 - $170,000 plus benefits. Compensation decisions are supported through market data, where regional variances may exist based on cost of labor. We also take into consideration prior experience, relevant skills, education and/or training, certifications and, as applicable, other required qualifications. If you have questions regarding compensation, the talent acquisition team can provide relevant details during the interview process. Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at . Visit our website at to learn more about our open roles. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
10/30/2026
Full time
Job Description Job Description Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies. We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business. We are hiring a DevOps Engineer to design, automate, and scale cloud-native infrastructure supporting enterprise-grade applications. This role will own Kubernetes environments, CI/CD pipelines, and cloud platform operations in Google Cloud Platform (GCP). The ideal candidate brings strong automation discipline and experience operating production-grade distributed systems. Responsibilities Design, deploy, and operate Kubernetes clusters in production environments Build and maintain CI/CD pipelines to support secure and repeatable deployments Implement and manage service mesh architectures using Istio Administer and optimize Google Cloud Platform infrastructure Integrate Jira workflows into development and release processes Monitor, troubleshoot, and improve reliability, performance, and security Collaborate with engineering teams to implement infrastructure as code and automation standards Additional duties as required Minimum Requirements 5 years of experience in DevOps, Site Reliability Engineering, or Infrastructure Engineering 3 years of hands-on Kubernetes administration in production environments 3 years of experience building and maintaining CI/CD pipelines 3 years of experience with Google Cloud Platform (GCP) 2 years of experience implementing and managing Istio service mesh Experience administering Jira for engineering workflow management Preferred Qualifications Experience with Infrastructure as Code tools (Terraform or similar) Experience with container security and vulnerability management Experience supporting microservices-based architectures Google Cloud Professional certification Experience operating highly available distributed systems About Reply Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services. The base compensation range for this full-time position is between $140,000 - $170,000 plus benefits. Compensation decisions are supported through market data, where regional variances may exist based on cost of labor. We also take into consideration prior experience, relevant skills, education and/or training, certifications and, as applicable, other required qualifications. If you have questions regarding compensation, the talent acquisition team can provide relevant details during the interview process. Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at . Visit our website at to learn more about our open roles. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17,000+, and has 58 offices in 22 countries within key global markets. Role Description The Senior Cloud Solution Architect will provide overall technical leadership for the AWS migration. This individual will be responsible for defining the target-state architecture, establishing migration patterns and standards, validating solution designs, and ensuring that all application, infrastructure, security, and operational requirements are addressed throughout the program lifecycle. Additional Information The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within New York, NY is $140k - $160k/year & benefits (see below). Qualifications 12+ years of enterprise architecture and software engineering experience. 8+ years designing and implementing cloud-based solutions. Demonstrated experience leading large-scale cloud migration and modernization programs. Deep expertise in AWS services, cloud-native architectures, infrastructure automation, resiliency, security, and disaster recovery. Experience working within highly regulated financial services environments. Strong stakeholder management and communication skills, with the ability to engage senior technology and business leadership. Key Responsibilities Define and govern the target-state architecture. Lead application assessment and migration strategy development. Establish architectural standards, patterns, and guardrails. Provide technical oversight for migration, testing, cutover, and decommissioning activities. Identify and mitigate architectural, operational, and security risks. Support governance, design reviews, and executive-level decision making. We offer: A highly competitive compensation and benefits package. A multinational organization with 58 offices in 22 countries and the possibility to work abroad. 10 days of paid annual leave (plus sick leave and national holidays). Maternity & paternity leave plans. A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region). Retirement savings plans. A higher education certification policy. Commuter benefits (varies by region). Extensive training opportunities, focused on skills, substantive knowledge, and personal development. On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses. Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups. Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms. A flat and approachable organization. A truly diverse, fun-loving, and global work culture. SYNECHRON'S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative 'Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
10/30/2026
Full time
Job Description We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17,000+, and has 58 offices in 22 countries within key global markets. Role Description The Senior Cloud Solution Architect will provide overall technical leadership for the AWS migration. This individual will be responsible for defining the target-state architecture, establishing migration patterns and standards, validating solution designs, and ensuring that all application, infrastructure, security, and operational requirements are addressed throughout the program lifecycle. Additional Information The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within New York, NY is $140k - $160k/year & benefits (see below). Qualifications 12+ years of enterprise architecture and software engineering experience. 8+ years designing and implementing cloud-based solutions. Demonstrated experience leading large-scale cloud migration and modernization programs. Deep expertise in AWS services, cloud-native architectures, infrastructure automation, resiliency, security, and disaster recovery. Experience working within highly regulated financial services environments. Strong stakeholder management and communication skills, with the ability to engage senior technology and business leadership. Key Responsibilities Define and govern the target-state architecture. Lead application assessment and migration strategy development. Establish architectural standards, patterns, and guardrails. Provide technical oversight for migration, testing, cutover, and decommissioning activities. Identify and mitigate architectural, operational, and security risks. Support governance, design reviews, and executive-level decision making. We offer: A highly competitive compensation and benefits package. A multinational organization with 58 offices in 22 countries and the possibility to work abroad. 10 days of paid annual leave (plus sick leave and national holidays). Maternity & paternity leave plans. A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region). Retirement savings plans. A higher education certification policy. Commuter benefits (varies by region). Extensive training opportunities, focused on skills, substantive knowledge, and personal development. On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses. Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups. Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms. A flat and approachable organization. A truly diverse, fun-loving, and global work culture. SYNECHRON'S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative 'Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
The Hollister Group seeks a Vice President and Chief Information Officer to lead technology strategy for a growing professional, scientific, and technical services firm. This executive will own the IT vision, driving secure, scalable systems that power recruiting, consulting, and internal operations. Responsibilities include defining the technology roadmap, overseeing applications, infrastructure, and cybersecurity, and aligning digital initiatives with business goals. The CIO will mentor a high-performing team, optimize vendor partnerships, manage budgets, and champion innovation in a collaborative, values-driven culture. Responsibilities Provide strategic leadership for all technology, data, and information systems across the firm Develop and execute an IT roadmap aligned with business, recruiting, and consulting priorities Oversee enterprise applications, infrastructure, cybersecurity, and data governance Partner with executive leadership to drive digital transformation and operational efficiency Evaluate, select, and manage technology vendors and key platforms Establish IT policies, standards, and risk management practices to ensure compliance Lead, mentor, and develop a high-performing IT and security team Define and track KPIs to measure system performance and business impact Ensure reliable, secure systems that support internal teams and client-facing solutions Manage IT budgets, forecasting, and capital planning Required Skills IT strategy Enterprise architecture Cybersecurity management Cloud platforms (AWS/Azure) Data governance and analytics ERP/HRIS/CRM systems Vendor and contract management IT risk and compliance Budgeting and financial management People and organizational leadership
10/30/2026
Full time
The Hollister Group seeks a Vice President and Chief Information Officer to lead technology strategy for a growing professional, scientific, and technical services firm. This executive will own the IT vision, driving secure, scalable systems that power recruiting, consulting, and internal operations. Responsibilities include defining the technology roadmap, overseeing applications, infrastructure, and cybersecurity, and aligning digital initiatives with business goals. The CIO will mentor a high-performing team, optimize vendor partnerships, manage budgets, and champion innovation in a collaborative, values-driven culture. Responsibilities Provide strategic leadership for all technology, data, and information systems across the firm Develop and execute an IT roadmap aligned with business, recruiting, and consulting priorities Oversee enterprise applications, infrastructure, cybersecurity, and data governance Partner with executive leadership to drive digital transformation and operational efficiency Evaluate, select, and manage technology vendors and key platforms Establish IT policies, standards, and risk management practices to ensure compliance Lead, mentor, and develop a high-performing IT and security team Define and track KPIs to measure system performance and business impact Ensure reliable, secure systems that support internal teams and client-facing solutions Manage IT budgets, forecasting, and capital planning Required Skills IT strategy Enterprise architecture Cybersecurity management Cloud platforms (AWS/Azure) Data governance and analytics ERP/HRIS/CRM systems Vendor and contract management IT risk and compliance Budgeting and financial management People and organizational leadership
Lead the global IT organization and establish the company's technology strategy, governance, and multi-year roadmap. Partner with business functions and Kuraray Global DX-IT to align technology investments, standards, and major initiatives with enterprise priorities while ensuring secure, reliable, and cost-effective services. Responsibilities Develop and execute enterprise IT strategy and a multi-year technology roadmap. Advise senior leaders and translate business priorities into technology capabilities, investments, and plans. Partner with functional leaders to align technology, process, data, and capability priorities. Lead cross-functional technology transformations with defined ownership, governance, adoption, and measurable benefits. Serve as the senior interface with Kuraray Global DX-IT on strategy, architecture, cybersecurity, standards, and shared platforms. Coordinate local adoption and execution of global technology programs. Required Skills Enterprise IT strategy Technology roadmap development IT governance Cybersecurity Enterprise architecture IT infrastructure and operations Business systems and applications Systems integration Data enablement Technology portfolio and investment planning
10/30/2026
Full time
Lead the global IT organization and establish the company's technology strategy, governance, and multi-year roadmap. Partner with business functions and Kuraray Global DX-IT to align technology investments, standards, and major initiatives with enterprise priorities while ensuring secure, reliable, and cost-effective services. Responsibilities Develop and execute enterprise IT strategy and a multi-year technology roadmap. Advise senior leaders and translate business priorities into technology capabilities, investments, and plans. Partner with functional leaders to align technology, process, data, and capability priorities. Lead cross-functional technology transformations with defined ownership, governance, adoption, and measurable benefits. Serve as the senior interface with Kuraray Global DX-IT on strategy, architecture, cybersecurity, standards, and shared platforms. Coordinate local adoption and execution of global technology programs. Required Skills Enterprise IT strategy Technology roadmap development IT governance Cybersecurity Enterprise architecture IT infrastructure and operations Business systems and applications Systems integration Data enablement Technology portfolio and investment planning
Job Description Description Leidos has a new and exciting opportunity for a Management Analyst SME in our Intel Sector Analysis Solutions Business Area (ASBA). Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos, we offer competitive benefits, including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in Analysis Solutions Business Area! JOB DESCRIPTION: This sub family is responsible for conducting analysis of transition planning, intelligence information requirements, and developing architecture baselines. Duties may include providing research and assistance with implementation of community policies and guidance. Employees may also support business process improvements or systems analysis for missions, systems, and fiscal requirements. Basic Requirements: Portfolio Management Experience - Monitor and analyze IT portfolio of programs and their associated capabilities and Services Strategic Planning Experience - support the evolution of the Sponsor's strategic direction and priorities Make recommendations to aid sponsor decision-making, to include proposed strategies and/or roadmaps; identified risks, capability and performance gaps, and dependencies; alignment with the strategic framework and priorities; and funding and related program issues Assist government clients with programmatic goals and objectives, schedules, and reports to the senior-level executives Communicate technical topics in a non-technical manner to senior-level audiences Extensive experience in collaboration across multiple entities Experience working with partners outside the US Basic Qualifications: TS/SCI with Polygraph required. Typically requires BS degree and 12 to 15 years of prior relevant experience or Masters with 10 to 13 years of prior relevant experience. May possess a Doctorate in technical domain. Experience may be exchanged for degree requirements. Draft products that reflect strong writing and grammatical skills Familiarity with portfolio, program, and project management discipline Familiarity with planning, programing, Budgeting, and execution discipline Knowledge of key performance indicators Strong organizational skills and experience with process driven work Strong analytical competence, problem-solving, communication and organizational skills Provide audience-appropriate written and verbal communications and demonstrate strong interpersonal and customer service skills Work with seniors in diverse, fast-paced, multi-task environment managing competing priorities Produce deliverables in multiple formats as needed (e.g., Excel, Word, PowerPoint, etc.) Familiarity with DNI structure and IC workings Ability to track upcoming deliverables and ensure team assignments are adequate to ensure all work is delivered on time Ability to ensure the customer is kept on track and aware of all upcoming deadlines Proactively prepare talking points and summaries to ensure the customers are well prepared for upcoming events At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping you grow your career is good business. We look forward to learning more about you - apply today. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting:October 29, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range:Pay Range $116,350.00 - $210,325.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit . Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at -benefits. Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at . If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
10/30/2026
Full time
Job Description Description Leidos has a new and exciting opportunity for a Management Analyst SME in our Intel Sector Analysis Solutions Business Area (ASBA). Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos, we offer competitive benefits, including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in Analysis Solutions Business Area! JOB DESCRIPTION: This sub family is responsible for conducting analysis of transition planning, intelligence information requirements, and developing architecture baselines. Duties may include providing research and assistance with implementation of community policies and guidance. Employees may also support business process improvements or systems analysis for missions, systems, and fiscal requirements. Basic Requirements: Portfolio Management Experience - Monitor and analyze IT portfolio of programs and their associated capabilities and Services Strategic Planning Experience - support the evolution of the Sponsor's strategic direction and priorities Make recommendations to aid sponsor decision-making, to include proposed strategies and/or roadmaps; identified risks, capability and performance gaps, and dependencies; alignment with the strategic framework and priorities; and funding and related program issues Assist government clients with programmatic goals and objectives, schedules, and reports to the senior-level executives Communicate technical topics in a non-technical manner to senior-level audiences Extensive experience in collaboration across multiple entities Experience working with partners outside the US Basic Qualifications: TS/SCI with Polygraph required. Typically requires BS degree and 12 to 15 years of prior relevant experience or Masters with 10 to 13 years of prior relevant experience. May possess a Doctorate in technical domain. Experience may be exchanged for degree requirements. Draft products that reflect strong writing and grammatical skills Familiarity with portfolio, program, and project management discipline Familiarity with planning, programing, Budgeting, and execution discipline Knowledge of key performance indicators Strong organizational skills and experience with process driven work Strong analytical competence, problem-solving, communication and organizational skills Provide audience-appropriate written and verbal communications and demonstrate strong interpersonal and customer service skills Work with seniors in diverse, fast-paced, multi-task environment managing competing priorities Produce deliverables in multiple formats as needed (e.g., Excel, Word, PowerPoint, etc.) Familiarity with DNI structure and IC workings Ability to track upcoming deliverables and ensure team assignments are adequate to ensure all work is delivered on time Ability to ensure the customer is kept on track and aware of all upcoming deadlines Proactively prepare talking points and summaries to ensure the customers are well prepared for upcoming events At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping you grow your career is good business. We look forward to learning more about you - apply today. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting:October 29, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range:Pay Range $116,350.00 - $210,325.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit . Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at -benefits. Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at . If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
Job Description Description Leidos has a new and exciting opportunity for a Management Analyst SME in our Intel Sector Analysis Solutions Business Area (ASBA). Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos, we offer competitive benefits, including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in Analysis Solutions Business Area! JOB DESCRIPTION: This sub family is responsible for conducting analysis of transition planning, intelligence information requirements, and developing architecture baselines. Duties may include providing research and assistance with implementation of community policies and guidance. Employees may also support business process improvements or systems analysis for missions, systems, and fiscal requirements. Basic Requirements: Portfolio Management Experience - Monitor and analyze IT portfolio of programs and their associated capabilities and Services Strategic Planning Experience - support the evolution of the Sponsor's strategic direction and priorities Make recommendations to aid sponsor decision-making, to include proposed strategies and/or roadmaps; identified risks, capability and performance gaps, and dependencies; alignment with the strategic framework and priorities; and funding and related program issues Assist government clients with programmatic goals and objectives, schedules, and reports to the senior-level executives Communicate technical topics in a non-technical manner to senior-level audiences Extensive experience in collaboration across multiple entities Experience working with partners outside the US Basic Qualifications: TS/SCI with Polygraph required. Typically requires BS degree and 12 to 15 years of prior relevant experience or Masters with 10 to 13 years of prior relevant experience. May possess a Doctorate in technical domain. Experience may be exchanged for degree requirements. Draft products that reflect strong writing and grammatical skills Familiarity with portfolio, program, and project management discipline Familiarity with planning, programing, Budgeting, and execution discipline Knowledge of key performance indicators Strong organizational skills and experience with process driven work Strong analytical competence, problem-solving, communication and organizational skills Provide audience-appropriate written and verbal communications and demonstrate strong interpersonal and customer service skills Work with seniors in diverse, fast-paced, multi-task environment managing competing priorities Produce deliverables in multiple formats as needed (e.g., Excel, Word, PowerPoint, etc.) Familiarity with DNI structure and IC workings Ability to track upcoming deliverables and ensure team assignments are adequate to ensure all work is delivered on time Ability to ensure the customer is kept on track and aware of all upcoming deadlines Proactively prepare talking points and summaries to ensure the customers are well prepared for upcoming events At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping you grow your career is good business. We look forward to learning more about you - apply today. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting:October 29, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range:Pay Range $116,350.00 - $210,325.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit . Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at -benefits. Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at . If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
10/30/2026
Full time
Job Description Description Leidos has a new and exciting opportunity for a Management Analyst SME in our Intel Sector Analysis Solutions Business Area (ASBA). Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos, we offer competitive benefits, including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in Analysis Solutions Business Area! JOB DESCRIPTION: This sub family is responsible for conducting analysis of transition planning, intelligence information requirements, and developing architecture baselines. Duties may include providing research and assistance with implementation of community policies and guidance. Employees may also support business process improvements or systems analysis for missions, systems, and fiscal requirements. Basic Requirements: Portfolio Management Experience - Monitor and analyze IT portfolio of programs and their associated capabilities and Services Strategic Planning Experience - support the evolution of the Sponsor's strategic direction and priorities Make recommendations to aid sponsor decision-making, to include proposed strategies and/or roadmaps; identified risks, capability and performance gaps, and dependencies; alignment with the strategic framework and priorities; and funding and related program issues Assist government clients with programmatic goals and objectives, schedules, and reports to the senior-level executives Communicate technical topics in a non-technical manner to senior-level audiences Extensive experience in collaboration across multiple entities Experience working with partners outside the US Basic Qualifications: TS/SCI with Polygraph required. Typically requires BS degree and 12 to 15 years of prior relevant experience or Masters with 10 to 13 years of prior relevant experience. May possess a Doctorate in technical domain. Experience may be exchanged for degree requirements. Draft products that reflect strong writing and grammatical skills Familiarity with portfolio, program, and project management discipline Familiarity with planning, programing, Budgeting, and execution discipline Knowledge of key performance indicators Strong organizational skills and experience with process driven work Strong analytical competence, problem-solving, communication and organizational skills Provide audience-appropriate written and verbal communications and demonstrate strong interpersonal and customer service skills Work with seniors in diverse, fast-paced, multi-task environment managing competing priorities Produce deliverables in multiple formats as needed (e.g., Excel, Word, PowerPoint, etc.) Familiarity with DNI structure and IC workings Ability to track upcoming deliverables and ensure team assignments are adequate to ensure all work is delivered on time Ability to ensure the customer is kept on track and aware of all upcoming deadlines Proactively prepare talking points and summaries to ensure the customers are well prepared for upcoming events At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping you grow your career is good business. We look forward to learning more about you - apply today. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting:October 29, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range:Pay Range $116,350.00 - $210,325.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit . Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at -benefits. Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at . If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
Job Description Job Description Devops Architect: We are looking for a seasoned DevOps Architect with deep expertise in Azure DevOps, Terraform, and Azure cloud services to lead the design and implementation of scalable, secure, and automated infrastructure solutions. The ideal candidate will have hands-on experience with AI model deployments, IAM (Identity and Access Management), on-premise agent pools, and disaster recovery strategies, with a strong focus on automation and cloud-native best practices. Key Responsibilities: Architect and implement end-to-end DevOps solutions using Azure DevOps, Terraform, and YAML-based pipelines. Design and manage infrastructure for Azure services including: App Services Azure Data Factory API Management (APIM) Storage Accounts Key Vaults Azure OpenAI Deploy and manage AI models and machine learning infrastructure using Terraform. Implement and manage IAM policies and role-based access control (RBAC) across environments. Configure and manage on-premise agent pools in Azure DevOps for hybrid deployment scenarios. Define and execute disaster recovery and business continuity strategies. Collaborate with development, security, and operations teams to ensure secure and efficient CI/CD processes. Monitor system performance, troubleshoot issues, and optimize infrastructure for scalability and reliability. Establish and enforce best practices for infrastructure as code (IaC), cloud governance, and DevOps automation. Mandatory Skills: Azure DevOps (Repos, Pipelines, Boards, Artifacts) Terraform (including modules for AI, IAM, and Azure services) YAML scripting for pipeline automation
10/30/2026
Full time
Job Description Job Description Devops Architect: We are looking for a seasoned DevOps Architect with deep expertise in Azure DevOps, Terraform, and Azure cloud services to lead the design and implementation of scalable, secure, and automated infrastructure solutions. The ideal candidate will have hands-on experience with AI model deployments, IAM (Identity and Access Management), on-premise agent pools, and disaster recovery strategies, with a strong focus on automation and cloud-native best practices. Key Responsibilities: Architect and implement end-to-end DevOps solutions using Azure DevOps, Terraform, and YAML-based pipelines. Design and manage infrastructure for Azure services including: App Services Azure Data Factory API Management (APIM) Storage Accounts Key Vaults Azure OpenAI Deploy and manage AI models and machine learning infrastructure using Terraform. Implement and manage IAM policies and role-based access control (RBAC) across environments. Configure and manage on-premise agent pools in Azure DevOps for hybrid deployment scenarios. Define and execute disaster recovery and business continuity strategies. Collaborate with development, security, and operations teams to ensure secure and efficient CI/CD processes. Monitor system performance, troubleshoot issues, and optimize infrastructure for scalability and reliability. Establish and enforce best practices for infrastructure as code (IaC), cloud governance, and DevOps automation. Mandatory Skills: Azure DevOps (Repos, Pipelines, Boards, Artifacts) Terraform (including modules for AI, IAM, and Azure services) YAML scripting for pipeline automation
Job Description Description Leidos has a new and exciting opportunity for a Management Analyst SME in our Intel Sector Analysis Solutions Business Area (ASBA). Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos, we offer competitive benefits, including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in Analysis Solutions Business Area! JOB DESCRIPTION: This sub family is responsible for conducting analysis of transition planning, intelligence information requirements, and developing architecture baselines. Duties may include providing research and assistance with implementation of community policies and guidance. Employees may also support business process improvements or systems analysis for missions, systems, and fiscal requirements. Basic Requirements: Portfolio Management Experience - Monitor and analyze IT portfolio of programs and their associated capabilities and Services Strategic Planning Experience - support the evolution of the Sponsor's strategic direction and priorities Make recommendations to aid sponsor decision-making, to include proposed strategies and/or roadmaps; identified risks, capability and performance gaps, and dependencies; alignment with the strategic framework and priorities; and funding and related program issues Assist government clients with programmatic goals and objectives, schedules, and reports to the senior-level executives Communicate technical topics in a non-technical manner to senior-level audiences Extensive experience in collaboration across multiple entities Experience working with partners outside the US Basic Qualifications: TS/SCI with Polygraph required. Typically requires BS degree and 12 to 15 years of prior relevant experience or Masters with 10 to 13 years of prior relevant experience. May possess a Doctorate in technical domain. Experience may be exchanged for degree requirements. Draft products that reflect strong writing and grammatical skills Familiarity with portfolio, program, and project management discipline Familiarity with planning, programing, Budgeting, and execution discipline Knowledge of key performance indicators Strong organizational skills and experience with process driven work Strong analytical competence, problem-solving, communication and organizational skills Provide audience-appropriate written and verbal communications and demonstrate strong interpersonal and customer service skills Work with seniors in diverse, fast-paced, multi-task environment managing competing priorities Produce deliverables in multiple formats as needed (e.g., Excel, Word, PowerPoint, etc.) Familiarity with DNI structure and IC workings Ability to track upcoming deliverables and ensure team assignments are adequate to ensure all work is delivered on time Ability to ensure the customer is kept on track and aware of all upcoming deadlines Proactively prepare talking points and summaries to ensure the customers are well prepared for upcoming events At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping you grow your career is good business. We look forward to learning more about you - apply today. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting:October 29, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range:Pay Range $116,350.00 - $210,325.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit . Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at -benefits. Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at . If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
10/30/2026
Full time
Job Description Description Leidos has a new and exciting opportunity for a Management Analyst SME in our Intel Sector Analysis Solutions Business Area (ASBA). Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos, we offer competitive benefits, including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in Analysis Solutions Business Area! JOB DESCRIPTION: This sub family is responsible for conducting analysis of transition planning, intelligence information requirements, and developing architecture baselines. Duties may include providing research and assistance with implementation of community policies and guidance. Employees may also support business process improvements or systems analysis for missions, systems, and fiscal requirements. Basic Requirements: Portfolio Management Experience - Monitor and analyze IT portfolio of programs and their associated capabilities and Services Strategic Planning Experience - support the evolution of the Sponsor's strategic direction and priorities Make recommendations to aid sponsor decision-making, to include proposed strategies and/or roadmaps; identified risks, capability and performance gaps, and dependencies; alignment with the strategic framework and priorities; and funding and related program issues Assist government clients with programmatic goals and objectives, schedules, and reports to the senior-level executives Communicate technical topics in a non-technical manner to senior-level audiences Extensive experience in collaboration across multiple entities Experience working with partners outside the US Basic Qualifications: TS/SCI with Polygraph required. Typically requires BS degree and 12 to 15 years of prior relevant experience or Masters with 10 to 13 years of prior relevant experience. May possess a Doctorate in technical domain. Experience may be exchanged for degree requirements. Draft products that reflect strong writing and grammatical skills Familiarity with portfolio, program, and project management discipline Familiarity with planning, programing, Budgeting, and execution discipline Knowledge of key performance indicators Strong organizational skills and experience with process driven work Strong analytical competence, problem-solving, communication and organizational skills Provide audience-appropriate written and verbal communications and demonstrate strong interpersonal and customer service skills Work with seniors in diverse, fast-paced, multi-task environment managing competing priorities Produce deliverables in multiple formats as needed (e.g., Excel, Word, PowerPoint, etc.) Familiarity with DNI structure and IC workings Ability to track upcoming deliverables and ensure team assignments are adequate to ensure all work is delivered on time Ability to ensure the customer is kept on track and aware of all upcoming deadlines Proactively prepare talking points and summaries to ensure the customers are well prepared for upcoming events At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping you grow your career is good business. We look forward to learning more about you - apply today. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting:October 29, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range:Pay Range $116,350.00 - $210,325.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit . Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at -benefits. Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at . If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary Join our innovative and dynamic Cloud Engineering team at NetApp, where we are dedicated to pushing the boundaries of cloud technology. We are looking for a passionate and experienced Software Development Engineer to join us in developing industry leading data management solutions for NetApp's customers in all major Clouds. If you have hands-on experience with AWS, GCP, Azure, or OCI, we want to hear from you! As a Software Development Engineer in NetApp's Cloud Platforms organization, you will play a critical role in the team responsible for designing, developing, and maintaining scalable, secure and robust operating systems and capabilities that run NetApp data management applications in the Cloud As part of the Research and Development function, the overall focus of the group is on competitive market and customer requirements, technology advances and innovation, product quality, product cost and time-to-market. To achieve these goals, software engineers in this organization leverage their technical strengths and teamwork skills via collaboration with Cloud partners and internal Engineering partners. Job Requirements Develop a strong technical understanding of NetApp's existing data management and storage solutions in the Cloud, their interdependencies, and limitations. Participate in all phases of the product development cycle including product design and development, test automation, debugging and support, and supporting resolution of impactful customer issues. Collaborate with cross-functional teams to define, design, and ship new features. Handle unstructured tasks and conducting research to convert vague/undefined requirements into clearly articulated ones. Operate under limited supervision and direction, as this individual can operate, drive results and set priorities independently. Engage in a peer-to-peer collaboration and learning model, fostering a culture of continuous learning and improvement. Education Minimum Qualifications: 5+ years of hands-on experience in software development and cloud engineering. Proficiency in one or more programming languages such as C/C++ or equivalent, and additionally, Python. Strong hands-on operational knowledge in at least one major cloud platform (AWS, GCP, or OCI). Strong knowledge of cloud architecture, services, and best practices. Familiarity with CI/CD pipelines and DevOps practices. Excellent problem-solving skills and attention to detail. Strong verbal and written communication skills, and collaboration skills are a must. Ability to work with limited supervision and operate and drive results independently. Preferred Qualifications: Experience in software development of distributed data management systems (E.g.: NetApp ONTAP or similar systems). Advanced certifications in AWS, GCP, or OCI. Experience with infrastructure-as-code tools such as Terraform or CloudFormation. Experience with Cloud monitoring and logging tools. Compensation: The target salary range for this position is 147,900 - 220,000 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings' (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, employee stock purchase plan, and/or restricted stocks (RSU's). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support-rather than replace-human decision-making.
10/30/2026
Full time
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary Join our innovative and dynamic Cloud Engineering team at NetApp, where we are dedicated to pushing the boundaries of cloud technology. We are looking for a passionate and experienced Software Development Engineer to join us in developing industry leading data management solutions for NetApp's customers in all major Clouds. If you have hands-on experience with AWS, GCP, Azure, or OCI, we want to hear from you! As a Software Development Engineer in NetApp's Cloud Platforms organization, you will play a critical role in the team responsible for designing, developing, and maintaining scalable, secure and robust operating systems and capabilities that run NetApp data management applications in the Cloud As part of the Research and Development function, the overall focus of the group is on competitive market and customer requirements, technology advances and innovation, product quality, product cost and time-to-market. To achieve these goals, software engineers in this organization leverage their technical strengths and teamwork skills via collaboration with Cloud partners and internal Engineering partners. Job Requirements Develop a strong technical understanding of NetApp's existing data management and storage solutions in the Cloud, their interdependencies, and limitations. Participate in all phases of the product development cycle including product design and development, test automation, debugging and support, and supporting resolution of impactful customer issues. Collaborate with cross-functional teams to define, design, and ship new features. Handle unstructured tasks and conducting research to convert vague/undefined requirements into clearly articulated ones. Operate under limited supervision and direction, as this individual can operate, drive results and set priorities independently. Engage in a peer-to-peer collaboration and learning model, fostering a culture of continuous learning and improvement. Education Minimum Qualifications: 5+ years of hands-on experience in software development and cloud engineering. Proficiency in one or more programming languages such as C/C++ or equivalent, and additionally, Python. Strong hands-on operational knowledge in at least one major cloud platform (AWS, GCP, or OCI). Strong knowledge of cloud architecture, services, and best practices. Familiarity with CI/CD pipelines and DevOps practices. Excellent problem-solving skills and attention to detail. Strong verbal and written communication skills, and collaboration skills are a must. Ability to work with limited supervision and operate and drive results independently. Preferred Qualifications: Experience in software development of distributed data management systems (E.g.: NetApp ONTAP or similar systems). Advanced certifications in AWS, GCP, or OCI. Experience with infrastructure-as-code tools such as Terraform or CloudFormation. Experience with Cloud monitoring and logging tools. Compensation: The target salary range for this position is 147,900 - 220,000 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings' (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, employee stock purchase plan, and/or restricted stocks (RSU's). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support-rather than replace-human decision-making.
Job Description Job Description Data Architect (Job ID: 144227) Location: Hybrid - Augusta, ME (Onsite once per month; candidates in New England preferred) Duration: 8-month contract Travel: Client does not cover travel expensesOur direct client in Augusta, ME, is seeking an experienced Data Architect for an exciting 8-month contract opportunity. This hybrid role requires monthly onsite presence and is open to candidates based in the New England area.Key Responsibilities: Design and implement enterprise-class data repositories using Oracle on-premises and cloud-hosted databases. Develop fully automated ETL processes from diverse flat-file and database sources. Create and maintain dimensional models to support business requirements. Mentor junior developers, providing technical guidance and expertise. Required Skills & Experience: Minimum of 5 years as a Data Architect. Proven expertise in developing automated ETL processes from varied data sources. Senior-level DBA experience with Oracle databases (on-premises and cloud). Strong proficiency in dimensional modeling. Demonstrated ability to mentor and guide junior developers.
10/30/2026
Full time
Job Description Job Description Data Architect (Job ID: 144227) Location: Hybrid - Augusta, ME (Onsite once per month; candidates in New England preferred) Duration: 8-month contract Travel: Client does not cover travel expensesOur direct client in Augusta, ME, is seeking an experienced Data Architect for an exciting 8-month contract opportunity. This hybrid role requires monthly onsite presence and is open to candidates based in the New England area.Key Responsibilities: Design and implement enterprise-class data repositories using Oracle on-premises and cloud-hosted databases. Develop fully automated ETL processes from diverse flat-file and database sources. Create and maintain dimensional models to support business requirements. Mentor junior developers, providing technical guidance and expertise. Required Skills & Experience: Minimum of 5 years as a Data Architect. Proven expertise in developing automated ETL processes from varied data sources. Senior-level DBA experience with Oracle databases (on-premises and cloud). Strong proficiency in dimensional modeling. Demonstrated ability to mentor and guide junior developers.
