This job is with Gilead Sciences Inc., an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfill their aspirations. Join Gilead and help create possible, together. Job Description Key Responsibilities Validation and assurance strategy Develop risk-based validation or assurance plans based on intended use, GxP impact, process risk, system complexity, novelty, and supplier capability. Define lifecycle deliverables, acceptance criteria, evidence expectations, roles, and approval requirements. Apply critical thinking to focus effort on functions that could affect patient safety, product quality, record reliability, or regulatory compliance. Use supplier documentation and automated evidence when suitable, complete, reliable, and approved for use. Lifecycle execution and oversight Lead or approve GxP assessments, validation plans, user requirements, specifications, risk assessments, traceability, test strategies, test evidence, summary reports, and release decisions. Ensure requirements are clear, testable, risk-based, and traceable to objective evidence. Oversee scripted, unscripted, exploratory, scenario-based, automated, and regression testing as appropriate. Assess deviations, defects, residual risks, and corrective actions and confirm readiness before production use. Ensure configuration, interfaces, data migration, reports, calculations, workflows, security roles, electronic signatures, and audit trails are adequately verified. Validated-state maintenance Provide assurance oversight for changes, upgrades, patches, releases, incidents, periodic reviews, access reviews, backup and restore, business continuity, and system retirement. Evaluate change impact and regression needs using documented process and technical risk. Monitor validation health, overdue actions, recurring defects, supplier performance, and inspection-readiness indicators. Ensure archived data and records remain accessible, readable, complete, and protected throughout required retention periods. Data integrity and electronic records Assess controls for data creation, modification, review, approval, transfer, storage, reporting, retention, and deletion. Verify appropriate controls for attribution, contemporaneous recording, original records, accuracy, completeness, consistency, enduring retention, and availability. Ensure audit-trail requirements, review procedures, record ownership, metadata, and exception handling are defined and tested. Supplier and technology assurance Lead supplier assessments and determine how supplier quality systems, development practices, testing, certifications, and service controls may be leveraged. Evaluate SaaS, cloud, infrastructure, platform, low-code, automation, analytics, and AI solutions for applicable GxP and data-integrity risks. Define assurance expectations in quality agreements, service agreements, contracts, and support models. Confirm responsibilities for releases, incidents, security, backup, continuity, data return, and service termination. Governance, standards, and inspection readiness Maintain validation standards, templates, procedures, decision trees, risk models, and training materials. Provide independent Quality review and approval while preserving clear accountability for process owners, system owners, IT, and suppliers. Support internal audits, regulatory inspections, due diligence, and responses to observations. Track and communicate validation metrics, risks, resource needs, and remediation progress to governance bodies. Leadership and capability development Lead validation workstreams and coach validation specialists, business analysts, testers, process owners, and technical teams. Estimate effort, assign work, monitor deliverables, and resolve quality, schedule, and resource issues. Promote standardized, efficient, and evidence-based assurance practices across functions and sites. Monitor regulatory and industry developments and translate them into practical lifecycle controls. Required Qualifications Bachelor's degree in life sciences, engineering, computer science, information systems, Quality, or a related discipline. At least 8 years of experience in computer system validation, computer software assurance, Quality systems, information technology, or a related regulated function. Experience in a pharmaceutical, biotechnology, medical device, clinical, laboratory, manufacturing, or other regulated life-sciences environment. Demonstrated experience leading validation for enterprise or site-based GxP computerized systems. Practical knowledge of risk-based lifecycle assurance, data integrity, electronic records and signatures, and applicable validation regulations and guidance. Experience authoring or approving validation plans, requirements, risk assessments, traceability, test protocols or scripts, deviations, and summary reports. Experience with change control, incident management, periodic review, access controls, audit trails, data migration, interfaces, and system retirement. Ability to assess suppliers and determine appropriate use of supplier documentation and testing evidence. Strong technical writing, problem-solving, facilitation, project-management, and stakeholder-management skills. Ability to lead cross-functional teams and make documented, risk-based decisions. Ability to travel as needed. Preferred Qualifications Advanced degree in life sciences, engineering, information systems, Quality, or a related discipline. Professional certification related to Quality, auditing, project management, software testing, information security, or computer system validation. Experience with quality management, laboratory, manufacturing, enterprise resource planning, clinical, regulatory, document, learning, or data and analytics platforms. Experience validating SaaS, cloud, low-code, robotic process automation, advanced analytics, or AI-enabled solutions. Experience with agile or iterative delivery models and automated testing approaches. Experience supporting global deployments, regulatory inspections, remediation programs, data migrations, or complex system integrations. Knowledge of product management, enterprise architecture, cybersecurity, privacy, and data-governance practices. Experience developing validation procedures, templates, training, metrics, and communities of practice. Required Knowledge and Skills Ability to connect intended use, process knowledge, system functionality, and patient, product, and data risks. Ability to distinguish GxP impact, business criticality, software complexity, and process risk and avoid using software category alone to determine validation rigor. Knowledge of requirements management, risk assessment, testing techniques, traceability, defect management, and objective evidence. Knowledge of data-integrity principles, electronic records, electronic signatures, metadata, audit trails, security, and record retention. Understanding of configurable and custom software, integrations, infrastructure, cloud service models, automation, analytics, and emerging technologies. Ability to review technical and Quality documentation for adequacy, consistency, traceability, and approval readiness. Ability to explain validation expectations clearly to technical and nontechnical stakeholders. Sound judgment, attention to detail, independence, and the ability to manage competing priorities The salary range for this position is: Other US Locations: $191,250.00 - $247,500.00. Bay Area: $210,375.00 - $272,250.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans . For additional benefits information, visit: . click apply for full job details
11/10/2026
Full time
This job is with Gilead Sciences Inc., an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfill their aspirations. Join Gilead and help create possible, together. Job Description Key Responsibilities Validation and assurance strategy Develop risk-based validation or assurance plans based on intended use, GxP impact, process risk, system complexity, novelty, and supplier capability. Define lifecycle deliverables, acceptance criteria, evidence expectations, roles, and approval requirements. Apply critical thinking to focus effort on functions that could affect patient safety, product quality, record reliability, or regulatory compliance. Use supplier documentation and automated evidence when suitable, complete, reliable, and approved for use. Lifecycle execution and oversight Lead or approve GxP assessments, validation plans, user requirements, specifications, risk assessments, traceability, test strategies, test evidence, summary reports, and release decisions. Ensure requirements are clear, testable, risk-based, and traceable to objective evidence. Oversee scripted, unscripted, exploratory, scenario-based, automated, and regression testing as appropriate. Assess deviations, defects, residual risks, and corrective actions and confirm readiness before production use. Ensure configuration, interfaces, data migration, reports, calculations, workflows, security roles, electronic signatures, and audit trails are adequately verified. Validated-state maintenance Provide assurance oversight for changes, upgrades, patches, releases, incidents, periodic reviews, access reviews, backup and restore, business continuity, and system retirement. Evaluate change impact and regression needs using documented process and technical risk. Monitor validation health, overdue actions, recurring defects, supplier performance, and inspection-readiness indicators. Ensure archived data and records remain accessible, readable, complete, and protected throughout required retention periods. Data integrity and electronic records Assess controls for data creation, modification, review, approval, transfer, storage, reporting, retention, and deletion. Verify appropriate controls for attribution, contemporaneous recording, original records, accuracy, completeness, consistency, enduring retention, and availability. Ensure audit-trail requirements, review procedures, record ownership, metadata, and exception handling are defined and tested. Supplier and technology assurance Lead supplier assessments and determine how supplier quality systems, development practices, testing, certifications, and service controls may be leveraged. Evaluate SaaS, cloud, infrastructure, platform, low-code, automation, analytics, and AI solutions for applicable GxP and data-integrity risks. Define assurance expectations in quality agreements, service agreements, contracts, and support models. Confirm responsibilities for releases, incidents, security, backup, continuity, data return, and service termination. Governance, standards, and inspection readiness Maintain validation standards, templates, procedures, decision trees, risk models, and training materials. Provide independent Quality review and approval while preserving clear accountability for process owners, system owners, IT, and suppliers. Support internal audits, regulatory inspections, due diligence, and responses to observations. Track and communicate validation metrics, risks, resource needs, and remediation progress to governance bodies. Leadership and capability development Lead validation workstreams and coach validation specialists, business analysts, testers, process owners, and technical teams. Estimate effort, assign work, monitor deliverables, and resolve quality, schedule, and resource issues. Promote standardized, efficient, and evidence-based assurance practices across functions and sites. Monitor regulatory and industry developments and translate them into practical lifecycle controls. Required Qualifications Bachelor's degree in life sciences, engineering, computer science, information systems, Quality, or a related discipline. At least 8 years of experience in computer system validation, computer software assurance, Quality systems, information technology, or a related regulated function. Experience in a pharmaceutical, biotechnology, medical device, clinical, laboratory, manufacturing, or other regulated life-sciences environment. Demonstrated experience leading validation for enterprise or site-based GxP computerized systems. Practical knowledge of risk-based lifecycle assurance, data integrity, electronic records and signatures, and applicable validation regulations and guidance. Experience authoring or approving validation plans, requirements, risk assessments, traceability, test protocols or scripts, deviations, and summary reports. Experience with change control, incident management, periodic review, access controls, audit trails, data migration, interfaces, and system retirement. Ability to assess suppliers and determine appropriate use of supplier documentation and testing evidence. Strong technical writing, problem-solving, facilitation, project-management, and stakeholder-management skills. Ability to lead cross-functional teams and make documented, risk-based decisions. Ability to travel as needed. Preferred Qualifications Advanced degree in life sciences, engineering, information systems, Quality, or a related discipline. Professional certification related to Quality, auditing, project management, software testing, information security, or computer system validation. Experience with quality management, laboratory, manufacturing, enterprise resource planning, clinical, regulatory, document, learning, or data and analytics platforms. Experience validating SaaS, cloud, low-code, robotic process automation, advanced analytics, or AI-enabled solutions. Experience with agile or iterative delivery models and automated testing approaches. Experience supporting global deployments, regulatory inspections, remediation programs, data migrations, or complex system integrations. Knowledge of product management, enterprise architecture, cybersecurity, privacy, and data-governance practices. Experience developing validation procedures, templates, training, metrics, and communities of practice. Required Knowledge and Skills Ability to connect intended use, process knowledge, system functionality, and patient, product, and data risks. Ability to distinguish GxP impact, business criticality, software complexity, and process risk and avoid using software category alone to determine validation rigor. Knowledge of requirements management, risk assessment, testing techniques, traceability, defect management, and objective evidence. Knowledge of data-integrity principles, electronic records, electronic signatures, metadata, audit trails, security, and record retention. Understanding of configurable and custom software, integrations, infrastructure, cloud service models, automation, analytics, and emerging technologies. Ability to review technical and Quality documentation for adequacy, consistency, traceability, and approval readiness. Ability to explain validation expectations clearly to technical and nontechnical stakeholders. Sound judgment, attention to detail, independence, and the ability to manage competing priorities The salary range for this position is: Other US Locations: $191,250.00 - $247,500.00. Bay Area: $210,375.00 - $272,250.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans . For additional benefits information, visit: . click apply for full job details
This job is with Colt Technology Services, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Colt provides network, voice and data centre services to thousands of businesses around the world, allowing them to focus on delivering their business goals instead of the underlying infrastructure. Summary Job title : Senior AI Engineer Reports to : VP of AI Technology and Architecture Job location : Must have ability to be onsite in Boulder, CO office for 2-3 days a week About Colt and the AI Practice Colt Technology Services is a global digital infrastructure company, operating one of the world's largest fiber networks across Europe and Asia. We are building a Boulder-based AI team as the engineering center of our AI Practice. The team is responsible for how AI is adopted, governed, and scaled across Colt. The AI Practice operates across several parallel workstreams, including use case delivery, AI WAN, and private AI. The Boulder team is where we build, test, and validate before we scale. Why we need this role This is a build role. You will take AI use cases from a business problem to something running in production and being used every day: retrieval and search over Colt's own data, agents that carry out multi-step work, and AI built into the systems Colt's teams already rely on. We are looking for a strong software engineer first. If you have spent eight to ten years building and running production systems and even if you have not yet shipped an LLM-based product, we want to hear from. The platform, the tooling, and the model access are already in place, and a staff-level AI engineer on the team will pair with you directly on the AI side of the work. The AI-specific skills you can bring to the table is a plus but is also learnable. The engineering experience and judgement that comes from having owned real systems in production is not, and that is the part we are hiring for. What we do expect is that you have already got hands on with AI, whether at work or as a side project for yourself. You will be working directly with the Colt teams taking requirements from them. The team is small by design, the problems are real, and what you build in your first year sets the pattern for how Colt builds AI. What you will do Build AI Use Cases Design and build AI applications end to end: data access, retrieval, model calls, orchestration, and the interfaces people use Work with large language models through APIs and self-hosted inference, covering prompting, tool use, retrieval, and multi-step agent workflows Build evaluation harnesses that show whether a use case is good enough to ship, and keep owning them after it ships Integrate AI into Colt's existing systems and data, within the constraints of a live enterprise environment Work Directly With the Business Work with the Colt teams, who will be your customers, and who will use what you build, across network operations, service delivery, finance, and others Turn a loosely described business problem into a scoped, buildable design Show working software early and often, and change direction when the first answer turns out to be wrong Be straight with stakeholders about what AI is not the right tool for Take It to Production and Keep It There Move your own work from prototype to production-grade: tested, instrumented, documented, and supportable Monitor accuracy, latency, and cost in production, and act when they drift Work with platform engineers on deployment, and hand over cleanly to production operations Contribute reusable patterns, components, and internal libraries so the next use case is faster than the last What we're looking for Engineering Experience: 8-10+ years building production software. You have owned systems end to end: designed them, shipped them, operated them, and been on the hook when they broke. Languages: Strong in Python, or strong in another language such as Java, Go, C#, or TypeScript and ready to work primarily in Python. Production Systems: APIs and service integration, working with real data at scale, testing, CI/CD, and debugging things that are already live in front of users. Cloud: Comfortable in any major cloud. We build primarily on Google Cloud; equivalent AWS or Azure experience is ok to start. Working Style: Comfortable with ambiguity and with direct contact with non-technical stakeholders. You ask what the problem is before deciding what to build. Hands-On with AI: You have already built something with it under your own steam. A side project, a prototype at work, an internal tool, a serious evaluation you ran, or agentic coding tools you use daily and have opinions about. It does not need to have shipped, been finished, or worked. We want to hear what you tried, what broke, and what you concluded. Helpful, Not Required: Any of this at enterprise scale: production RAG over messy real-world data, agent frameworks, evaluation tooling, Vertex AI, Kubernetes, Terraform. Useful if you have it, and teachable if you do not. HOW YOU WILL RAMP You pair with a staff-level AI engineer from your first week, on a live use case rather than a training exercise The AI platform is already running: model gateway, evaluation tooling, deployment pipelines, and sandbox, development, and production environments We expect you to put something small into real use inside your first 90 days, and to lead a use case end to end within six months WHEN WE TALK Come ready to walk us through something you have built with AI, however small or unfinished. We would rather see a rough prototype you can explain in depth than a polished project you cannot. Expect us to ask where it fell short, what you would do differently, and how you decided whether it was any good. How you evaluated it matters more to us than what you shipped. If you have not used AI tools in your own engineering work, this will be a difficult conversation. That is the one gap we are not set up to close for you. What we offer you: Looking to make a mark? At Colt, you'll make a difference. Because around here, we empower people. We don't tell you what to do. Instead, we employ people we trust, who come together across the globe to create intelligent solutions. Our global teams are full of ambitious, driven people, all working together towards one shared purpose: to put the power of the digital universe in the hands of our customers wherever, whenever and however they want. We give our people the opportunity to inspire and lead teams, and work on projects that connect people, cities, businesses, and ideas. We want you to help us change the world, for the better. Diversity and inclusion Inclusion and valuing diversity of thought and experience are at the heart of our culture here at Colt. From day one, you'll be encouraged to be yourself because we believe that's what helps our people to thrive. We welcome people with diverse backgrounds and experiences, regardless of their gender identity or expression, sexual orientation, race, religion, disability, neurodiversity, age, marital status, pregnancy status, or place of birth. Most recently we have: Signed the UN Women Empowerment Principles which guide our Gender Action Plan Trained 60 (and growing) Colties to be Mental Health First Aiders Please speak with a member of our recruitment team if you require adjustments to our recruitment process to support you. For more information about our Inclusion and Diversity agenda, visit our DEI pages . Benefits Our benefits support you through all parts of life, for both physical and mental health. Flexible working hours and the option to work from home. Extensive induction program with experienced mentors and buddies. Opportunities for further development and educational opportunities. Global Family Leave Policy. Employee Assistance Program. Internal inclusion & diversity employee networks. A global network When you join Colt you become part of our global network. We are proud of our colleagues and the stories and experience they bring - take a look at 'Our People' site including our Empowered Women in Tech.
11/10/2026
Full time
This job is with Colt Technology Services, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Colt provides network, voice and data centre services to thousands of businesses around the world, allowing them to focus on delivering their business goals instead of the underlying infrastructure. Summary Job title : Senior AI Engineer Reports to : VP of AI Technology and Architecture Job location : Must have ability to be onsite in Boulder, CO office for 2-3 days a week About Colt and the AI Practice Colt Technology Services is a global digital infrastructure company, operating one of the world's largest fiber networks across Europe and Asia. We are building a Boulder-based AI team as the engineering center of our AI Practice. The team is responsible for how AI is adopted, governed, and scaled across Colt. The AI Practice operates across several parallel workstreams, including use case delivery, AI WAN, and private AI. The Boulder team is where we build, test, and validate before we scale. Why we need this role This is a build role. You will take AI use cases from a business problem to something running in production and being used every day: retrieval and search over Colt's own data, agents that carry out multi-step work, and AI built into the systems Colt's teams already rely on. We are looking for a strong software engineer first. If you have spent eight to ten years building and running production systems and even if you have not yet shipped an LLM-based product, we want to hear from. The platform, the tooling, and the model access are already in place, and a staff-level AI engineer on the team will pair with you directly on the AI side of the work. The AI-specific skills you can bring to the table is a plus but is also learnable. The engineering experience and judgement that comes from having owned real systems in production is not, and that is the part we are hiring for. What we do expect is that you have already got hands on with AI, whether at work or as a side project for yourself. You will be working directly with the Colt teams taking requirements from them. The team is small by design, the problems are real, and what you build in your first year sets the pattern for how Colt builds AI. What you will do Build AI Use Cases Design and build AI applications end to end: data access, retrieval, model calls, orchestration, and the interfaces people use Work with large language models through APIs and self-hosted inference, covering prompting, tool use, retrieval, and multi-step agent workflows Build evaluation harnesses that show whether a use case is good enough to ship, and keep owning them after it ships Integrate AI into Colt's existing systems and data, within the constraints of a live enterprise environment Work Directly With the Business Work with the Colt teams, who will be your customers, and who will use what you build, across network operations, service delivery, finance, and others Turn a loosely described business problem into a scoped, buildable design Show working software early and often, and change direction when the first answer turns out to be wrong Be straight with stakeholders about what AI is not the right tool for Take It to Production and Keep It There Move your own work from prototype to production-grade: tested, instrumented, documented, and supportable Monitor accuracy, latency, and cost in production, and act when they drift Work with platform engineers on deployment, and hand over cleanly to production operations Contribute reusable patterns, components, and internal libraries so the next use case is faster than the last What we're looking for Engineering Experience: 8-10+ years building production software. You have owned systems end to end: designed them, shipped them, operated them, and been on the hook when they broke. Languages: Strong in Python, or strong in another language such as Java, Go, C#, or TypeScript and ready to work primarily in Python. Production Systems: APIs and service integration, working with real data at scale, testing, CI/CD, and debugging things that are already live in front of users. Cloud: Comfortable in any major cloud. We build primarily on Google Cloud; equivalent AWS or Azure experience is ok to start. Working Style: Comfortable with ambiguity and with direct contact with non-technical stakeholders. You ask what the problem is before deciding what to build. Hands-On with AI: You have already built something with it under your own steam. A side project, a prototype at work, an internal tool, a serious evaluation you ran, or agentic coding tools you use daily and have opinions about. It does not need to have shipped, been finished, or worked. We want to hear what you tried, what broke, and what you concluded. Helpful, Not Required: Any of this at enterprise scale: production RAG over messy real-world data, agent frameworks, evaluation tooling, Vertex AI, Kubernetes, Terraform. Useful if you have it, and teachable if you do not. HOW YOU WILL RAMP You pair with a staff-level AI engineer from your first week, on a live use case rather than a training exercise The AI platform is already running: model gateway, evaluation tooling, deployment pipelines, and sandbox, development, and production environments We expect you to put something small into real use inside your first 90 days, and to lead a use case end to end within six months WHEN WE TALK Come ready to walk us through something you have built with AI, however small or unfinished. We would rather see a rough prototype you can explain in depth than a polished project you cannot. Expect us to ask where it fell short, what you would do differently, and how you decided whether it was any good. How you evaluated it matters more to us than what you shipped. If you have not used AI tools in your own engineering work, this will be a difficult conversation. That is the one gap we are not set up to close for you. What we offer you: Looking to make a mark? At Colt, you'll make a difference. Because around here, we empower people. We don't tell you what to do. Instead, we employ people we trust, who come together across the globe to create intelligent solutions. Our global teams are full of ambitious, driven people, all working together towards one shared purpose: to put the power of the digital universe in the hands of our customers wherever, whenever and however they want. We give our people the opportunity to inspire and lead teams, and work on projects that connect people, cities, businesses, and ideas. We want you to help us change the world, for the better. Diversity and inclusion Inclusion and valuing diversity of thought and experience are at the heart of our culture here at Colt. From day one, you'll be encouraged to be yourself because we believe that's what helps our people to thrive. We welcome people with diverse backgrounds and experiences, regardless of their gender identity or expression, sexual orientation, race, religion, disability, neurodiversity, age, marital status, pregnancy status, or place of birth. Most recently we have: Signed the UN Women Empowerment Principles which guide our Gender Action Plan Trained 60 (and growing) Colties to be Mental Health First Aiders Please speak with a member of our recruitment team if you require adjustments to our recruitment process to support you. For more information about our Inclusion and Diversity agenda, visit our DEI pages . Benefits Our benefits support you through all parts of life, for both physical and mental health. Flexible working hours and the option to work from home. Extensive induction program with experienced mentors and buddies. Opportunities for further development and educational opportunities. Global Family Leave Policy. Employee Assistance Program. Internal inclusion & diversity employee networks. A global network When you join Colt you become part of our global network. We are proud of our colleagues and the stories and experience they bring - take a look at 'Our People' site including our Empowered Women in Tech.
Heritage Hotels & Resorts Corporate Office
Albuquerque, New Mexico
Description: About Heritage Companies At Heritage Companies, the culture, spirit, and traditions of New Mexico shape everything we do, including how we support our teams. We're proud to offer a workplace centered on the experience of our employees, encouraging growth and upward movement across our hotels, restaurants, and destinations. Team members enjoy special perks throughout the state, from hotel and spa discounts to savings at all Heritage restaurants, ensuring every member of the Heritage family feels connected, cared for and part or something extraordinary. Why This Role Matters We are seeking an in-person Technology Systems Engineer who will shape how technology powers the guest experience and daily operations across Heritage Companies. In a hospitality company built on culture, service, and human connection, technology should never be a barrier, it should be an accelerator. This role ensures our systems work seamlessly behind the scenes so our teams can focus on what matters most: delivering exceptional, memorable experiences. You will design, build, and maintain the technology that connects our hotels, restaurants, and corporate teams, directly impacting how we operate, how we scale, and how our guests experience our brand. From launching new properties to enhancing digital guest journeys, your work will influence every touchpoint of the Heritage experience. You will simplify complexity, solve high-impact problems, and bring thoughtful, scalable solutions to a dynamic and growing organization. This role matters because when our technology is intentional, efficient, and aligned, it allows our people to take care of our guests, and allow our guests to experience the very best of Heritage. What You'll Do: Own the full lifecycle of Heritage's technology systems, including development, deployment, maintenance, and optimization across internal and guest-facing platforms Build and manage applications, automations, and integrations that support business operations, data flow, and team efficiency Maintain and enhance internal systems including dashboards, workflows, identity/access management, and communication infrastructure Manage and optimize guest-facing technology including websites, digital experiences, and integrations with PMS, guest data platforms, and related systems Ensure all systems align with luxury hospitality standards in performance, usability, and design quality Leverage AI-driven development tools to accelerate delivery, improve workflows, and scale technical capabilities Produce clear, structured documentation including system architecture, implementation guides, and operational references Identify inefficiencies, simplify systems, and implement scalable solutions that improve performance and reduce manual effort Partner with leadership to execute technical priorities and contribute to long-term technology strategy Why You'll Love Working With Us Competitive pay and comprehensive benefits including a 25% match for 401k! Generous employee discounts across Heritage Hotels, restaurants, spa and retail! Free employee parking! Opportunity to contribute to large-scale initiatives and long-term innovation! Own meaningful work from end to end, with real impact across hotels, restaurants, and corporate operations! See your work come to life in real time - supporting both team members and guest experiences daily! Grow alongside the business with opportunities to expand your scope, deepen your expertise, and evolve your career! Work with leadership that values curiosity, innovation, and forward-thinking approaches to technology! Be part of a purpose-driven company that celebrates culture, community, and belonging! HC10 Requirements: Willing to work out of our corporate office in New Mexico with some travel around the state if directed by CIO Proven experience with AI-assisted development workflows and automation Strong foundation in HTML, CSS, and JavaScript Proficiency with Git, version control, and deployment processes Experience with APIs, system integrations, and databases Working knowledge of networking and DNS Strong technical writing and documentation skills Ability to navigate vendor systems and solve problems with limited documentation Highly autonomous with strong systems thinking and problem-solving abilities Experience with Cloudflare or similar infrastructure platforms Python or scripting experience Experience with enterprise systems (SSO, permissions, provisioning) Website development (CMS or static site generators) Familiarity with hospitality technology systems Experience with multi-site operations, networking, or monitoring tools Compensation details: 0 Yearly Salary PIa7b79546ce11-9132
11/10/2026
Full time
Description: About Heritage Companies At Heritage Companies, the culture, spirit, and traditions of New Mexico shape everything we do, including how we support our teams. We're proud to offer a workplace centered on the experience of our employees, encouraging growth and upward movement across our hotels, restaurants, and destinations. Team members enjoy special perks throughout the state, from hotel and spa discounts to savings at all Heritage restaurants, ensuring every member of the Heritage family feels connected, cared for and part or something extraordinary. Why This Role Matters We are seeking an in-person Technology Systems Engineer who will shape how technology powers the guest experience and daily operations across Heritage Companies. In a hospitality company built on culture, service, and human connection, technology should never be a barrier, it should be an accelerator. This role ensures our systems work seamlessly behind the scenes so our teams can focus on what matters most: delivering exceptional, memorable experiences. You will design, build, and maintain the technology that connects our hotels, restaurants, and corporate teams, directly impacting how we operate, how we scale, and how our guests experience our brand. From launching new properties to enhancing digital guest journeys, your work will influence every touchpoint of the Heritage experience. You will simplify complexity, solve high-impact problems, and bring thoughtful, scalable solutions to a dynamic and growing organization. This role matters because when our technology is intentional, efficient, and aligned, it allows our people to take care of our guests, and allow our guests to experience the very best of Heritage. What You'll Do: Own the full lifecycle of Heritage's technology systems, including development, deployment, maintenance, and optimization across internal and guest-facing platforms Build and manage applications, automations, and integrations that support business operations, data flow, and team efficiency Maintain and enhance internal systems including dashboards, workflows, identity/access management, and communication infrastructure Manage and optimize guest-facing technology including websites, digital experiences, and integrations with PMS, guest data platforms, and related systems Ensure all systems align with luxury hospitality standards in performance, usability, and design quality Leverage AI-driven development tools to accelerate delivery, improve workflows, and scale technical capabilities Produce clear, structured documentation including system architecture, implementation guides, and operational references Identify inefficiencies, simplify systems, and implement scalable solutions that improve performance and reduce manual effort Partner with leadership to execute technical priorities and contribute to long-term technology strategy Why You'll Love Working With Us Competitive pay and comprehensive benefits including a 25% match for 401k! Generous employee discounts across Heritage Hotels, restaurants, spa and retail! Free employee parking! Opportunity to contribute to large-scale initiatives and long-term innovation! Own meaningful work from end to end, with real impact across hotels, restaurants, and corporate operations! See your work come to life in real time - supporting both team members and guest experiences daily! Grow alongside the business with opportunities to expand your scope, deepen your expertise, and evolve your career! Work with leadership that values curiosity, innovation, and forward-thinking approaches to technology! Be part of a purpose-driven company that celebrates culture, community, and belonging! HC10 Requirements: Willing to work out of our corporate office in New Mexico with some travel around the state if directed by CIO Proven experience with AI-assisted development workflows and automation Strong foundation in HTML, CSS, and JavaScript Proficiency with Git, version control, and deployment processes Experience with APIs, system integrations, and databases Working knowledge of networking and DNS Strong technical writing and documentation skills Ability to navigate vendor systems and solve problems with limited documentation Highly autonomous with strong systems thinking and problem-solving abilities Experience with Cloudflare or similar infrastructure platforms Python or scripting experience Experience with enterprise systems (SSO, permissions, provisioning) Website development (CMS or static site generators) Familiarity with hospitality technology systems Experience with multi-site operations, networking, or monitoring tools Compensation details: 0 Yearly Salary PIa7b79546ce11-9132
Job Description Job Description Job Description ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED The AI / RAG Software Engineer is responsible for designing, developing, deploying, and supporting Retrieval-Augmented Generation (RAG) solutions within a high-performance computing (HPC) Linux environment. In this role, the engineer works with Large Language Models (LLMs), LLM orchestration frameworks, knowledge retrieval systems, embedding models, and containerized architectures. The position requires strong expertise in Python, Kubernetes, Helm, CI/CD automation, and secure SI system development to deliver scalable, production-ready solutions in mission-critical environments. The annual base salary range for this role is $199,000-$235,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things. , Required Skills Linux Systems Proficiency: Proven experience in Linux environments, including advanced CLI use for software development, troubleshooting, and system administration. Python Engineering: Recent hands-on software development experience using Python, supported by strong knowledge of software engineering design patterns and frameworks. Generative SI RAG Knowledge: Working knowledge of Generative SI technologies, including Large Language Models (LLMs), RAG architectures, embedding models, and vector databases. Containerization Technologies: Experience with Docker, Podman, or containerd for application packaging, deployment, and lifecycle management in production environments. Kubernetes Helm: Hands-on experience creating, configuring, and managing Kubernetes resources (Deployments, Services, ConfigMaps, Secrets, Ingresses, Operators) and authoring Helm charts. CI/CD Automation: Experience building and maintaining CI/CD pipelines using GitLab CI/CD, Flux CD, GitLab Runners, or equivalent tools. Observability Monitoring: Experience deploying and leveraging metrics, logging, and monitoring platforms including Prometheus and Grafana. DevSecOps SDLC: Understanding of software development lifecycle (SDLC) best practices, automated testing, security scanning, code quality analysis, and DevSecOps principles. Version Control: Proficiency with Git-based workflows, including branching models, code reviews, and pull/merge requests. Education: Bachelor's Degree in Data Analytics, Intelligence Studies, Computer Science, Finance/Economics, or a related discipline, PLUS 7 + years of specialized data analytics or financial intelligence experience OR Master's Degree in a related field, PLUS 5 + years of specialized analytical experience OR High School Diploma / GED, PLUS 9 + years of hands-on intelligence analysis, financial tracking, and data discovery experience in lieu of a degree. , Desired Skills Cloud Engineering: Familiarity with developing, deploying, troubleshooting, and sustaining mission applications within AWS Cloud environments. GPU Acceleration: Experience developing, running, and debugging GPU-enabled applications and hardware workloads. Machine Learning Frameworks: Hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow) and ML pipelines/platforms (e.g., KubeFlow, NeMo, PyTorch Lightning). Data Stores Search Engines: Experience working with SQL databases, Elasticsearch, and enterprise Vector databases. SI Inferencing Frameworks: Knowledge of high-performance SI inferencing and serving solutions such as vLLM, Nvidia NIM, or Triton Inference Server. Agile Tooling: Experience using the Atlassian suite (Jira, Confluence) for workflow management and documentation. , About Nyla Technology Solutions Nyla Technology Solutions delivers exceptional Artificial Intelligence (AI), Data Science, and Software Engineering services for the U.S. Government. Nyla embraces a forward-thinking and bold approach at every turn, earning us a solid reputation of technical trendsetters within the industry. We have a passion for developing solutions that have a quick and immediate impact on mission. Headquartered in Columbia, Maryland, our customers love how we tackle their most challenging problems and get things done. If you have the unique experience and expertise we are seeking, along with the desire and determination to invest your time and energy as a part of Nyla's team, Taking Care of All of You Nyla provides a top-of-market compensation and benefits package. And through our unique Nyla FLEX program, we custom tailor these benefits to best fit your lifestyle. The Nyla FLEX benefit program is designed to offer you flexibility in the 3 biggest areas of your life: your pay, your leave, and your schedule. PAY - Nyla starts with 4 weeks of Annual Leave plus 11 holidays and an additional day of Annual Leave for each year you're at the company. You have the flexibility to cash out your annual leave hours, opt out of other Nyla benefits, and/or arrange for additional hours on contract (over 40 hrs/week). There's even an option to earn 1.3 times your hourly rate once you work over 1880 hours on contract! LEAVE - Want to spend more time with the family? Want more time to travel the world? You can BUY additional annual leave for a total of 6 weeks of annual leave. That's up to 240 hours of leave plus 11 holidays! That's not even including paid anniversary leave! SCHEDULE - Does the traditional 40-hour workweek no longer fit your lifestyle? With Nyla FLEX, you have the freedom to scale down to 30-32 hours while still enjoying the top-notch Nyla benefits you know and love. It's flexibility that works for you without compromising the perks! WHAT ABOUT OTHER BENEFITS? Nyla's health care (medical, dental, and vision) is 100% covered by the company. We provide 10% 401k matching - with full vesting day 1! Our Professional Development offers $5,000 per year to be used towards fees, tuition, or time off for your continued growth. We even have a student loan repayment program and we provide 8 hours of volunteering annually so you can support your community, making your world a better place. To learn more about Nyla's culture and our exceptional benefit packages click here. Nyla is an equal opportunity employer.
11/10/2026
Full time
Job Description Job Description Job Description ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED The AI / RAG Software Engineer is responsible for designing, developing, deploying, and supporting Retrieval-Augmented Generation (RAG) solutions within a high-performance computing (HPC) Linux environment. In this role, the engineer works with Large Language Models (LLMs), LLM orchestration frameworks, knowledge retrieval systems, embedding models, and containerized architectures. The position requires strong expertise in Python, Kubernetes, Helm, CI/CD automation, and secure SI system development to deliver scalable, production-ready solutions in mission-critical environments. The annual base salary range for this role is $199,000-$235,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things. , Required Skills Linux Systems Proficiency: Proven experience in Linux environments, including advanced CLI use for software development, troubleshooting, and system administration. Python Engineering: Recent hands-on software development experience using Python, supported by strong knowledge of software engineering design patterns and frameworks. Generative SI RAG Knowledge: Working knowledge of Generative SI technologies, including Large Language Models (LLMs), RAG architectures, embedding models, and vector databases. Containerization Technologies: Experience with Docker, Podman, or containerd for application packaging, deployment, and lifecycle management in production environments. Kubernetes Helm: Hands-on experience creating, configuring, and managing Kubernetes resources (Deployments, Services, ConfigMaps, Secrets, Ingresses, Operators) and authoring Helm charts. CI/CD Automation: Experience building and maintaining CI/CD pipelines using GitLab CI/CD, Flux CD, GitLab Runners, or equivalent tools. Observability Monitoring: Experience deploying and leveraging metrics, logging, and monitoring platforms including Prometheus and Grafana. DevSecOps SDLC: Understanding of software development lifecycle (SDLC) best practices, automated testing, security scanning, code quality analysis, and DevSecOps principles. Version Control: Proficiency with Git-based workflows, including branching models, code reviews, and pull/merge requests. Education: Bachelor's Degree in Data Analytics, Intelligence Studies, Computer Science, Finance/Economics, or a related discipline, PLUS 7 + years of specialized data analytics or financial intelligence experience OR Master's Degree in a related field, PLUS 5 + years of specialized analytical experience OR High School Diploma / GED, PLUS 9 + years of hands-on intelligence analysis, financial tracking, and data discovery experience in lieu of a degree. , Desired Skills Cloud Engineering: Familiarity with developing, deploying, troubleshooting, and sustaining mission applications within AWS Cloud environments. GPU Acceleration: Experience developing, running, and debugging GPU-enabled applications and hardware workloads. Machine Learning Frameworks: Hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow) and ML pipelines/platforms (e.g., KubeFlow, NeMo, PyTorch Lightning). Data Stores Search Engines: Experience working with SQL databases, Elasticsearch, and enterprise Vector databases. SI Inferencing Frameworks: Knowledge of high-performance SI inferencing and serving solutions such as vLLM, Nvidia NIM, or Triton Inference Server. Agile Tooling: Experience using the Atlassian suite (Jira, Confluence) for workflow management and documentation. , About Nyla Technology Solutions Nyla Technology Solutions delivers exceptional Artificial Intelligence (AI), Data Science, and Software Engineering services for the U.S. Government. Nyla embraces a forward-thinking and bold approach at every turn, earning us a solid reputation of technical trendsetters within the industry. We have a passion for developing solutions that have a quick and immediate impact on mission. Headquartered in Columbia, Maryland, our customers love how we tackle their most challenging problems and get things done. If you have the unique experience and expertise we are seeking, along with the desire and determination to invest your time and energy as a part of Nyla's team, Taking Care of All of You Nyla provides a top-of-market compensation and benefits package. And through our unique Nyla FLEX program, we custom tailor these benefits to best fit your lifestyle. The Nyla FLEX benefit program is designed to offer you flexibility in the 3 biggest areas of your life: your pay, your leave, and your schedule. PAY - Nyla starts with 4 weeks of Annual Leave plus 11 holidays and an additional day of Annual Leave for each year you're at the company. You have the flexibility to cash out your annual leave hours, opt out of other Nyla benefits, and/or arrange for additional hours on contract (over 40 hrs/week). There's even an option to earn 1.3 times your hourly rate once you work over 1880 hours on contract! LEAVE - Want to spend more time with the family? Want more time to travel the world? You can BUY additional annual leave for a total of 6 weeks of annual leave. That's up to 240 hours of leave plus 11 holidays! That's not even including paid anniversary leave! SCHEDULE - Does the traditional 40-hour workweek no longer fit your lifestyle? With Nyla FLEX, you have the freedom to scale down to 30-32 hours while still enjoying the top-notch Nyla benefits you know and love. It's flexibility that works for you without compromising the perks! WHAT ABOUT OTHER BENEFITS? Nyla's health care (medical, dental, and vision) is 100% covered by the company. We provide 10% 401k matching - with full vesting day 1! Our Professional Development offers $5,000 per year to be used towards fees, tuition, or time off for your continued growth. We even have a student loan repayment program and we provide 8 hours of volunteering annually so you can support your community, making your world a better place. To learn more about Nyla's culture and our exceptional benefit packages click here. Nyla is an equal opportunity employer.
Job Description Job Description Description We are seeking a Network Security Engineer to provide technical support in design and deployment of Network Transformation and Network Operations. In this role, you will assess and deploy the relevant technology solutions according to customers' business, security policy and application requirements and work directly with the Senior Network Engineer. Key Responsibilities Participate in daily network, firewall, and operational support. Ability to troubleshoot network issues and failures and follow best practices and troubleshooting methodology to quickly assess current situations, find solutions, and implement changes to correct and/or update network topologies to ensure stability and functionality. Provide technical analysis of operational issues and remediations during troubleshooting efforts to ensure documentations and procedures are followed and updated during active events. This includes the ability to report to management. Stay up to date on emerging technologies and products, including attaining certifications and participation in industry events as appropriate. Work with various stake holders to lead problem solving, evolve system roadmap and take critical decisions. Provide clear communication with regular updates/reports to the management team. Skills, Knowledge & Expertise Minimum of 5 years' experience in deployment and configuration and architectural design of networking technologies specific to routing, switching and general network security best practices, in which 3 years must be in customer-facing positions. Minimum of CCNA or comparable level of knowledge. Ability to work on call rotation as needed. B.S./B.A./M.S. degree or equivalent technical training. Fortinet NSE 6 and NSE 7 Knowledge of Azure and AWS Experience with Aruba ClearPass, Aruba switches and wireless Experience with Cisco Firepower Services and Palo Alto security services. Understanding of encryption and SSL/TLS technologies and best practices. Experience working for or with local government, service providers, and/or enterprises customers. Experience in large Data Center or Enterprise/campus designs, architecture, deployment and configuration with physical and virtual appliances. Familiarity with applications driving modern infrastructure design in private and public cloud. Experience in networking technologies such as STP, Nexus vPC, IPSEC / SSLVPN, Routing: VRF, MPLS, OSPF, BGP and Multi-Homed environments. Datacenter Network services including Security, Load Balancing, DNS, etc. at the virtual and physical level. Experience with Cisco, Juniper, Fortinet, HP, Aruba and CATO products (Firewall, Routing / switching, SASE, wireless and security) Wireless networking technologies including access-control platforms such as Cisco ISE or Aruba Clear Pass Policy Manager IPS/IDS, as well as other NGFW (Next Gen Firewall) features and capabilities. Ability to write incident and problem record documentation to support daily efforts. Strong analytical thinking and decision-making skills & highly organized. Strong ability to influence others and build consensus via excellent verbal and written communication skills. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of the job. This job description is intended to describe the general nature of work being performed by employees in this job. It is not intended to be a complete list of all responsibilities, duties, and skills required. Agencies/3 Parties may not solicit to any employee of Blue Mantis. Any candidate information received from any Agency/3 Party will be considered a gift and property of Blue Mantis, unless the Agency/3 Party is an Authorized Vendor of Blue Mantis with an up-to-date Blue Mantis Contract in hand signed by Blue Mantis Talent Acquisition. No payment will be made to any Agency/3 Party who is not an Authorized Vendor, nor has specific approval in writing from Blue Mantis Talent Acquisition to engage in recruitment efforts for Blue Mantis. At this time, we have no interest in onboarding any new staffing partners.
11/10/2026
Full time
Job Description Job Description Description We are seeking a Network Security Engineer to provide technical support in design and deployment of Network Transformation and Network Operations. In this role, you will assess and deploy the relevant technology solutions according to customers' business, security policy and application requirements and work directly with the Senior Network Engineer. Key Responsibilities Participate in daily network, firewall, and operational support. Ability to troubleshoot network issues and failures and follow best practices and troubleshooting methodology to quickly assess current situations, find solutions, and implement changes to correct and/or update network topologies to ensure stability and functionality. Provide technical analysis of operational issues and remediations during troubleshooting efforts to ensure documentations and procedures are followed and updated during active events. This includes the ability to report to management. Stay up to date on emerging technologies and products, including attaining certifications and participation in industry events as appropriate. Work with various stake holders to lead problem solving, evolve system roadmap and take critical decisions. Provide clear communication with regular updates/reports to the management team. Skills, Knowledge & Expertise Minimum of 5 years' experience in deployment and configuration and architectural design of networking technologies specific to routing, switching and general network security best practices, in which 3 years must be in customer-facing positions. Minimum of CCNA or comparable level of knowledge. Ability to work on call rotation as needed. B.S./B.A./M.S. degree or equivalent technical training. Fortinet NSE 6 and NSE 7 Knowledge of Azure and AWS Experience with Aruba ClearPass, Aruba switches and wireless Experience with Cisco Firepower Services and Palo Alto security services. Understanding of encryption and SSL/TLS technologies and best practices. Experience working for or with local government, service providers, and/or enterprises customers. Experience in large Data Center or Enterprise/campus designs, architecture, deployment and configuration with physical and virtual appliances. Familiarity with applications driving modern infrastructure design in private and public cloud. Experience in networking technologies such as STP, Nexus vPC, IPSEC / SSLVPN, Routing: VRF, MPLS, OSPF, BGP and Multi-Homed environments. Datacenter Network services including Security, Load Balancing, DNS, etc. at the virtual and physical level. Experience with Cisco, Juniper, Fortinet, HP, Aruba and CATO products (Firewall, Routing / switching, SASE, wireless and security) Wireless networking technologies including access-control platforms such as Cisco ISE or Aruba Clear Pass Policy Manager IPS/IDS, as well as other NGFW (Next Gen Firewall) features and capabilities. Ability to write incident and problem record documentation to support daily efforts. Strong analytical thinking and decision-making skills & highly organized. Strong ability to influence others and build consensus via excellent verbal and written communication skills. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of the job. This job description is intended to describe the general nature of work being performed by employees in this job. It is not intended to be a complete list of all responsibilities, duties, and skills required. Agencies/3 Parties may not solicit to any employee of Blue Mantis. Any candidate information received from any Agency/3 Party will be considered a gift and property of Blue Mantis, unless the Agency/3 Party is an Authorized Vendor of Blue Mantis with an up-to-date Blue Mantis Contract in hand signed by Blue Mantis Talent Acquisition. No payment will be made to any Agency/3 Party who is not an Authorized Vendor, nor has specific approval in writing from Blue Mantis Talent Acquisition to engage in recruitment efforts for Blue Mantis. At this time, we have no interest in onboarding any new staffing partners.
Job Description Job Description Description: On-site Every Other Week onsite / 5 days in the Cincinnati, OH area. Our client seeks a Principal AI Engineer to help build a new AI engineering organization that delivers innovative AI solutions enhancing advisor and client experiences. You will shape technical direction, influence engineering best practices, and deliver AI capabilities from concept through production. You will partner with business leaders, product teams, architects, data scientists, and engineers to identify high-value use cases and build secure, scalable, enterprise-grade AI solutions that drive measurable outcomes. The role blends hands-on engineering across AI, data, and cloud with stakeholder alignment and product thinking. Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $75.00 to $88.00/hr. w2 Responsibilities: Define technical strategy and establish engineering best practices for AI-powered solutions across advisor and client experiences. Design, build, and deploy scalable applications and distributed systems in cloud environments. Develop AI and LLM capabilities including agents, RAG, semantic search, and workflow automation using platforms such as OpenAI, Claude, Bedrock, and frameworks like LangChain and LangGraph. Partner with business leaders, product teams, architects, data scientists, and engineers to identify high-value use cases and deliver measurable outcomes. Implement knowledge retrieval and recommendation systems leveraging vector databases and retrieval frameworks. Lead full-stack development using Python, TypeScript, Node.js, React, and Next.js with secure APIs and cloud-native patterns. Apply platform engineering and DevOps practices including containers, Kubernetes, and Infrastructure-as-Code for reliable delivery. Drive decisions that improve performance, reduce costs, and increase reliability while aligning with business priorities. Mentor engineers, set technical standards, and foster a high-performance engineering culture. Translate emerging AI capabilities into practical, production-grade applications that enhance advisor productivity and client engagement. Experience Requirements: Bachelor's degree or equivalent experience with 8+ years of software engineering experience, or a Master's degree with 6+ years. Proven delivery of production-grade software and distributed systems at scale. Deep expertise building AI applications with LLMs, agent frameworks, and orchestration platforms. Hands-on experience with Retrieval-Augmented Generation, semantic search, and enterprise knowledge systems. Full-stack proficiency with Python, TypeScript, Node.js, React, and Next.js. Cloud deployment experience with AWS, Azure, or Google Cloud. Experience with containers, Kubernetes, Terraform, and cloud-native architectures. Strong grounding in software architecture, design patterns, security, and reliability. Demonstrated problem-solving skills and sound technical judgment. Proven ability to collaborate across engineering, data, product, and business teams from concept to production. Education Requirements: Bachelor's degree in a related field or equivalent experience. Master's degree preferred. Recruitment Transparency Notice Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team ( , ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process. Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following: When you work with Eliassen Group, all email communication will come from an address, never Gmail, Yahoo, etc. Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact . About Eliassen Group: Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve. Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws. Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!
11/10/2026
Full time
Job Description Job Description Description: On-site Every Other Week onsite / 5 days in the Cincinnati, OH area. Our client seeks a Principal AI Engineer to help build a new AI engineering organization that delivers innovative AI solutions enhancing advisor and client experiences. You will shape technical direction, influence engineering best practices, and deliver AI capabilities from concept through production. You will partner with business leaders, product teams, architects, data scientists, and engineers to identify high-value use cases and build secure, scalable, enterprise-grade AI solutions that drive measurable outcomes. The role blends hands-on engineering across AI, data, and cloud with stakeholder alignment and product thinking. Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $75.00 to $88.00/hr. w2 Responsibilities: Define technical strategy and establish engineering best practices for AI-powered solutions across advisor and client experiences. Design, build, and deploy scalable applications and distributed systems in cloud environments. Develop AI and LLM capabilities including agents, RAG, semantic search, and workflow automation using platforms such as OpenAI, Claude, Bedrock, and frameworks like LangChain and LangGraph. Partner with business leaders, product teams, architects, data scientists, and engineers to identify high-value use cases and deliver measurable outcomes. Implement knowledge retrieval and recommendation systems leveraging vector databases and retrieval frameworks. Lead full-stack development using Python, TypeScript, Node.js, React, and Next.js with secure APIs and cloud-native patterns. Apply platform engineering and DevOps practices including containers, Kubernetes, and Infrastructure-as-Code for reliable delivery. Drive decisions that improve performance, reduce costs, and increase reliability while aligning with business priorities. Mentor engineers, set technical standards, and foster a high-performance engineering culture. Translate emerging AI capabilities into practical, production-grade applications that enhance advisor productivity and client engagement. Experience Requirements: Bachelor's degree or equivalent experience with 8+ years of software engineering experience, or a Master's degree with 6+ years. Proven delivery of production-grade software and distributed systems at scale. Deep expertise building AI applications with LLMs, agent frameworks, and orchestration platforms. Hands-on experience with Retrieval-Augmented Generation, semantic search, and enterprise knowledge systems. Full-stack proficiency with Python, TypeScript, Node.js, React, and Next.js. Cloud deployment experience with AWS, Azure, or Google Cloud. Experience with containers, Kubernetes, Terraform, and cloud-native architectures. Strong grounding in software architecture, design patterns, security, and reliability. Demonstrated problem-solving skills and sound technical judgment. Proven ability to collaborate across engineering, data, product, and business teams from concept to production. Education Requirements: Bachelor's degree in a related field or equivalent experience. Master's degree preferred. Recruitment Transparency Notice Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team ( , ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process. Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following: When you work with Eliassen Group, all email communication will come from an address, never Gmail, Yahoo, etc. Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact . About Eliassen Group: Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve. Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws. Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!
Job Description Job Description Job Title: Senior Network Security Engineer Location: Washington, DC (Onsite) Employment Type: W2 Contract Duration: 11 months About the Opportunity: ZipStaff is hiring a Senior Network Security Engineer for our client, a major U.S. passenger rail transportation organization based in Washington, DC. As a technical leader, you will design, implement and optimize perimeter and infrastructure security controls across on-premises networks and AWS/Azure, with a heavy focus on Palo Alto Networks firewalls. What You'll Do: Lead design, configuration, rule maintenance and optimization of enterprise Palo Alto firewalls and perimeter platforms. Maintain WAF, IDS/IPS, VPN and NAC technologies. Partner with cloud, network and application teams on secure AWS and Azure architectures. Respond to network security incidents, monitor via SIEM, perform threat hunting and root-cause investigations. Conduct security reviews and risk assessments aligned with NIST, CIS, PCI-DSS, HIPAA and ISO. Automate security tasks with Python, PowerShell or Bash. Maintain runbooks, network diagrams and SOPs. Mentor junior engineers and support maintenance windows, after-hours work and emergency response. Required Qualifications: Bachelor's in Cybersecurity, Computer Science, IT, Engineering or related field. 11+ years of cybersecurity engineering focused on enterprise network and firewall security. Advanced hands-on Palo Alto Networks firewall administration. Deep knowledge of TCP/IP, routing, switching, VPNs, WAN/LAN and perimeter defense. Experience with IDS/IPS, SIEM, EDR, DLP, CASB and WAF. Securing AWS and Azure cloud infrastructure. Scripting in Python, PowerShell or Bash. Understanding of NIST, CIS Controls, PCI-DSS, HIPAA and ISO 27001. Strong problem-solving, communication and stakeholder skills. Nice to Have: Master's degree in Cybersecurity or IT. PCNSE, CISSP, CCNP Security, GIAC, CEH or Security+. SOC experience. Zero Trust architectures and cloud-native security tools. Benefits: Health Insurance. Dental Insurance. Vision Insurance. 401(k) + 401(k) matching. Paid time off. Referral Program. About ZipStaff: ZipStaff connects skilled technology professionals with leading organizations across the United States, matching top talent with impactful contract and full-time opportunities. To apply, submit your resume through this posting. Qualified candidates will be contacted by a ZipStaff recruiter.
11/10/2026
Full time
Job Description Job Description Job Title: Senior Network Security Engineer Location: Washington, DC (Onsite) Employment Type: W2 Contract Duration: 11 months About the Opportunity: ZipStaff is hiring a Senior Network Security Engineer for our client, a major U.S. passenger rail transportation organization based in Washington, DC. As a technical leader, you will design, implement and optimize perimeter and infrastructure security controls across on-premises networks and AWS/Azure, with a heavy focus on Palo Alto Networks firewalls. What You'll Do: Lead design, configuration, rule maintenance and optimization of enterprise Palo Alto firewalls and perimeter platforms. Maintain WAF, IDS/IPS, VPN and NAC technologies. Partner with cloud, network and application teams on secure AWS and Azure architectures. Respond to network security incidents, monitor via SIEM, perform threat hunting and root-cause investigations. Conduct security reviews and risk assessments aligned with NIST, CIS, PCI-DSS, HIPAA and ISO. Automate security tasks with Python, PowerShell or Bash. Maintain runbooks, network diagrams and SOPs. Mentor junior engineers and support maintenance windows, after-hours work and emergency response. Required Qualifications: Bachelor's in Cybersecurity, Computer Science, IT, Engineering or related field. 11+ years of cybersecurity engineering focused on enterprise network and firewall security. Advanced hands-on Palo Alto Networks firewall administration. Deep knowledge of TCP/IP, routing, switching, VPNs, WAN/LAN and perimeter defense. Experience with IDS/IPS, SIEM, EDR, DLP, CASB and WAF. Securing AWS and Azure cloud infrastructure. Scripting in Python, PowerShell or Bash. Understanding of NIST, CIS Controls, PCI-DSS, HIPAA and ISO 27001. Strong problem-solving, communication and stakeholder skills. Nice to Have: Master's degree in Cybersecurity or IT. PCNSE, CISSP, CCNP Security, GIAC, CEH or Security+. SOC experience. Zero Trust architectures and cloud-native security tools. Benefits: Health Insurance. Dental Insurance. Vision Insurance. 401(k) + 401(k) matching. Paid time off. Referral Program. About ZipStaff: ZipStaff connects skilled technology professionals with leading organizations across the United States, matching top talent with impactful contract and full-time opportunities. To apply, submit your resume through this posting. Qualified candidates will be contacted by a ZipStaff recruiter.
Job Description Job Description Description REQUIRED : Active TS/SCI with Full Scope Polygraph LOCATION: Full-time onsite in the Washington Metro area We are seeking a Systems Architect who can lead enterprise architecture in complex, mission driven environments. In this role, you will shape and mature an EA practice from the ground up-defining capability models, value streams, operating models, and investment frameworks that guide enterprise wide decision making. You'll drive technology strategy, portfolio management, lifecycle planning, and modernization efforts while ensuring alignment with architecture principles, standards, patterns, and reference architectures. Who We Are: We offer advanced services in data science, data engineering, software engineering, AI solutions, cybersecurity, staff augmentation, and IT program management. Passionate Integrity, Driven by Excellence Ardent Principles offers a competitive salary range and a comprehensive, industry leading benefits package designed to support long term stability and employee well being. We provide more than a position-we offer a workplace committed to excellence, integrity, and mission focused impact. Our mission is to act as a bridge between satisfied clients and fulfilled employees, ensuring that your job and well-being are our top priorities because your satisfaction leads to the success of our clients. Join us as we continue building the future of secure, high impact solutions. Key Responsibilities In this challenging yet rewarding role, you are an integral part of what brings our Company's mission to life. You must have the following required skills, certifications and demonstrated experience in and/or with: Enterprise architecture leadership in a complex, federated, regulated, or mission-oriented IT enterprise. Establishing or maturing an EA practice, preferably from a low-maturity or start-up condition. Business architecture skills, including capability modeling, value streams, operating models, stakeholder outcomes, and investment framing. Technology strategy, portfolio management, lifecycle planning, technical-debt analysis, road mapping, and modernization. Developing according to architecture principles, standards, patterns, reference architectures, and exception processes. Executive-level writing and briefing. Executive level facilitation, negotiation, and stakeholder-influence skills. Distinguishing strategic enterprise architecture from solution architecture, technical architecture, engineering execution, cybersecurity authority, and operational authority. Highly Desired Qualifications Other skills and demonstrated experiences that are highly desired but not mandatory to perform the work, include: Producing decision-useful current-state, target-state, and transition architectures across multiple technology domains. Working knowledge of relevant architecture frameworks and modeling methods, such as DoDAF (department of war architecture framework), UAF (unclassified architecture framework), capability-based planning, and minimal viable architecture. Understanding Intelligence Community (IC) and Department of War (DoW) governance, cybersecurity, acquisition, lifecycle, and operational considerations. Developing according to Sponsor architecture principles, standards, reference architectures, and exception processes. Other Relevant Technologies/Tools Experience: Identifying cross-domain dependencies, gaps, redundancies, constraints, risks, and considerations across infrastructure, applications, data, security, identity, cloud, and network. Evaluating relevant technologies and trends; identifying mission-aligned use cases; framing expected value, risk, dependencies, and adoption considerations. Working in partnership with the Chief Architect on further iterations of this roadmap. Providing actionable adoption, sustainment, migration, consolidation, and retirement recommendations for hardware and software. Assessing OCA maturity, stakeholder demand, current architecture activities, and capability gaps. Developing and maintaining a prioritized list of proposed architecture initiatives with associated costs, intake process, work plan, methods, templates, repository structure, and performance measures. What We Offer You SCHEDULE: This is a full-time position with consultants expected to be available and working onsite in the Washington Metro area during core hours. Ready to take the next step in your career? Join us and be part of a team dedicated to driving positive change through technology. Apply now with our easy 3-minute, mobile-friendly initial application process. Your future starts here!
11/10/2026
Full time
Job Description Job Description Description REQUIRED : Active TS/SCI with Full Scope Polygraph LOCATION: Full-time onsite in the Washington Metro area We are seeking a Systems Architect who can lead enterprise architecture in complex, mission driven environments. In this role, you will shape and mature an EA practice from the ground up-defining capability models, value streams, operating models, and investment frameworks that guide enterprise wide decision making. You'll drive technology strategy, portfolio management, lifecycle planning, and modernization efforts while ensuring alignment with architecture principles, standards, patterns, and reference architectures. Who We Are: We offer advanced services in data science, data engineering, software engineering, AI solutions, cybersecurity, staff augmentation, and IT program management. Passionate Integrity, Driven by Excellence Ardent Principles offers a competitive salary range and a comprehensive, industry leading benefits package designed to support long term stability and employee well being. We provide more than a position-we offer a workplace committed to excellence, integrity, and mission focused impact. Our mission is to act as a bridge between satisfied clients and fulfilled employees, ensuring that your job and well-being are our top priorities because your satisfaction leads to the success of our clients. Join us as we continue building the future of secure, high impact solutions. Key Responsibilities In this challenging yet rewarding role, you are an integral part of what brings our Company's mission to life. You must have the following required skills, certifications and demonstrated experience in and/or with: Enterprise architecture leadership in a complex, federated, regulated, or mission-oriented IT enterprise. Establishing or maturing an EA practice, preferably from a low-maturity or start-up condition. Business architecture skills, including capability modeling, value streams, operating models, stakeholder outcomes, and investment framing. Technology strategy, portfolio management, lifecycle planning, technical-debt analysis, road mapping, and modernization. Developing according to architecture principles, standards, patterns, reference architectures, and exception processes. Executive-level writing and briefing. Executive level facilitation, negotiation, and stakeholder-influence skills. Distinguishing strategic enterprise architecture from solution architecture, technical architecture, engineering execution, cybersecurity authority, and operational authority. Highly Desired Qualifications Other skills and demonstrated experiences that are highly desired but not mandatory to perform the work, include: Producing decision-useful current-state, target-state, and transition architectures across multiple technology domains. Working knowledge of relevant architecture frameworks and modeling methods, such as DoDAF (department of war architecture framework), UAF (unclassified architecture framework), capability-based planning, and minimal viable architecture. Understanding Intelligence Community (IC) and Department of War (DoW) governance, cybersecurity, acquisition, lifecycle, and operational considerations. Developing according to Sponsor architecture principles, standards, reference architectures, and exception processes. Other Relevant Technologies/Tools Experience: Identifying cross-domain dependencies, gaps, redundancies, constraints, risks, and considerations across infrastructure, applications, data, security, identity, cloud, and network. Evaluating relevant technologies and trends; identifying mission-aligned use cases; framing expected value, risk, dependencies, and adoption considerations. Working in partnership with the Chief Architect on further iterations of this roadmap. Providing actionable adoption, sustainment, migration, consolidation, and retirement recommendations for hardware and software. Assessing OCA maturity, stakeholder demand, current architecture activities, and capability gaps. Developing and maintaining a prioritized list of proposed architecture initiatives with associated costs, intake process, work plan, methods, templates, repository structure, and performance measures. What We Offer You SCHEDULE: This is a full-time position with consultants expected to be available and working onsite in the Washington Metro area during core hours. Ready to take the next step in your career? Join us and be part of a team dedicated to driving positive change through technology. Apply now with our easy 3-minute, mobile-friendly initial application process. Your future starts here!
Integrated Staffing Corporation
New York, New York
Job Description Job Description Now Hiring: SASE Implementation Engineer - Specialist III Location: New York, NY (Hybrid - 2 Days Onsite / 3 Days Remote) Employment Type: Contract - 12 Months Anticipated Start Date: November 2026 Schedule: Monday-Friday, 8:00 AM-5:00 PM EST (40 Hours/Week) We are seeking an experienced SASE Implementation Engineer - Specialist III to lead the deployment and implementation of Palo Alto Networks Prisma Access for a large, complex enterprise environment. This is an exciting opportunity for a hands-on network security professional to play a critical role in modernizing security infrastructure, enhancing secure remote connectivity, and delivering enterprise-wide network security solutions. The ideal candidate will bring strong technical expertise in Prisma Access, Strata Cloud Manager, PAN-OS, Panorama, and GlobalProtect , along with proven experience leading complex network security implementations from planning through production deployment. Key Responsibilities Lead end-to-end implementation of Palo Alto Networks Prisma Access, including architecture, configuration, integration, migration, testing, and deployment. Configure, administer, and troubleshoot Prisma Access through Strata Cloud Manager. Support secure connectivity for mobile users, remote networks, and service connections. Collaborate with infrastructure, networking, cybersecurity, technical teams, vendors, and business stakeholders. Validate network security architecture and ensure successful integration with existing enterprise environments. Lead migration planning, testing, troubleshooting, defect resolution, and production readiness activities. Identify and resolve technical issues, manage escalations, and document engineering decisions. Develop and maintain architecture diagrams, configuration standards, implementation procedures, and operational documentation. Track implementation milestones, technical dependencies, risks, and project status. Support automation and integration using scripting and infrastructure-as-code tools. Provide technical guidance, training, knowledge transfer, and operational handoff to internal teams. Required Qualifications Proven experience serving as a technical lead or primary implementation engineer on at least one completed production SASE or enterprise network security implementation. Hands-on experience deploying, configuring, administering, and troubleshooting Palo Alto Networks Prisma Access using Strata Cloud Manager . Strong technical knowledge of PAN-OS, Panorama, and GlobalProtect . Experience with enterprise routing, VPN technologies, authentication, security policies, logging, monitoring, and high-availability network environments. Demonstrated experience managing the full implementation lifecycle, including architecture validation, migration planning, testing, production cutover, and operational transition. Experience using APIs, PowerShell, Python, Ansible, Terraform, Git, or comparable tools for automation and integration. Ability to coordinate technical schedules, dependencies, risks, change control, and stakeholder communications. Strong troubleshooting, analytical, documentation, and communication skills. Experience developing technical documentation, operational runbooks, troubleshooting guides, and knowledge-transfer materials. Technical Environment Candidates should have experience with several of the following technologies: Network Security: Palo Alto Networks Prisma Access, PAN-OS, Panorama, GlobalProtect Cloud Security Management: Strata Cloud Manager, Prisma Access ADEM Networking & Diagnostics: VPN, routing tools, Wireshark Security Monitoring: Splunk, Microsoft Sentinel Automation & Scripting: PowerShell, Python, Ansible, Terraform, Git Project & Collaboration Tools: ServiceNow, Microsoft Project, Microsoft Visio, Microsoft Teams, SharePoint Additional Qualifications Current Palo Alto Networks, networking, cybersecurity, or project management certifications are a plus but are not generally required. Experience supporting large-scale, multi-site enterprise environments. Ability to work independently while collaborating with cross-functional technical teams. Strong organizational skills and experience communicating technical information to leadership and stakeholders. Work Arrangement Hybrid: Minimum of 2 days onsite per week in New York, NY, with remaining days remote. Contract Duration: 12 months. Schedule: 40 hours per week, Monday through Friday. Occasional travel to additional project locations may be required. Background screening and security access approvals may be required. If you are an experienced SASE Implementation Engineer with strong Palo Alto Networks expertise and a track record of delivering enterprise network security implementations, we'd love to hear from you! Apply today to learn more about this opportunity!
11/10/2026
Full time
Job Description Job Description Now Hiring: SASE Implementation Engineer - Specialist III Location: New York, NY (Hybrid - 2 Days Onsite / 3 Days Remote) Employment Type: Contract - 12 Months Anticipated Start Date: November 2026 Schedule: Monday-Friday, 8:00 AM-5:00 PM EST (40 Hours/Week) We are seeking an experienced SASE Implementation Engineer - Specialist III to lead the deployment and implementation of Palo Alto Networks Prisma Access for a large, complex enterprise environment. This is an exciting opportunity for a hands-on network security professional to play a critical role in modernizing security infrastructure, enhancing secure remote connectivity, and delivering enterprise-wide network security solutions. The ideal candidate will bring strong technical expertise in Prisma Access, Strata Cloud Manager, PAN-OS, Panorama, and GlobalProtect , along with proven experience leading complex network security implementations from planning through production deployment. Key Responsibilities Lead end-to-end implementation of Palo Alto Networks Prisma Access, including architecture, configuration, integration, migration, testing, and deployment. Configure, administer, and troubleshoot Prisma Access through Strata Cloud Manager. Support secure connectivity for mobile users, remote networks, and service connections. Collaborate with infrastructure, networking, cybersecurity, technical teams, vendors, and business stakeholders. Validate network security architecture and ensure successful integration with existing enterprise environments. Lead migration planning, testing, troubleshooting, defect resolution, and production readiness activities. Identify and resolve technical issues, manage escalations, and document engineering decisions. Develop and maintain architecture diagrams, configuration standards, implementation procedures, and operational documentation. Track implementation milestones, technical dependencies, risks, and project status. Support automation and integration using scripting and infrastructure-as-code tools. Provide technical guidance, training, knowledge transfer, and operational handoff to internal teams. Required Qualifications Proven experience serving as a technical lead or primary implementation engineer on at least one completed production SASE or enterprise network security implementation. Hands-on experience deploying, configuring, administering, and troubleshooting Palo Alto Networks Prisma Access using Strata Cloud Manager . Strong technical knowledge of PAN-OS, Panorama, and GlobalProtect . Experience with enterprise routing, VPN technologies, authentication, security policies, logging, monitoring, and high-availability network environments. Demonstrated experience managing the full implementation lifecycle, including architecture validation, migration planning, testing, production cutover, and operational transition. Experience using APIs, PowerShell, Python, Ansible, Terraform, Git, or comparable tools for automation and integration. Ability to coordinate technical schedules, dependencies, risks, change control, and stakeholder communications. Strong troubleshooting, analytical, documentation, and communication skills. Experience developing technical documentation, operational runbooks, troubleshooting guides, and knowledge-transfer materials. Technical Environment Candidates should have experience with several of the following technologies: Network Security: Palo Alto Networks Prisma Access, PAN-OS, Panorama, GlobalProtect Cloud Security Management: Strata Cloud Manager, Prisma Access ADEM Networking & Diagnostics: VPN, routing tools, Wireshark Security Monitoring: Splunk, Microsoft Sentinel Automation & Scripting: PowerShell, Python, Ansible, Terraform, Git Project & Collaboration Tools: ServiceNow, Microsoft Project, Microsoft Visio, Microsoft Teams, SharePoint Additional Qualifications Current Palo Alto Networks, networking, cybersecurity, or project management certifications are a plus but are not generally required. Experience supporting large-scale, multi-site enterprise environments. Ability to work independently while collaborating with cross-functional technical teams. Strong organizational skills and experience communicating technical information to leadership and stakeholders. Work Arrangement Hybrid: Minimum of 2 days onsite per week in New York, NY, with remaining days remote. Contract Duration: 12 months. Schedule: 40 hours per week, Monday through Friday. Occasional travel to additional project locations may be required. Background screening and security access approvals may be required. If you are an experienced SASE Implementation Engineer with strong Palo Alto Networks expertise and a track record of delivering enterprise network security implementations, we'd love to hear from you! Apply today to learn more about this opportunity!
Job Description Job Description Job Summary: Client is seeking an Application Architect to design scalable, secure application and integration architectures across our enterprise technology landscape, with strong emphasis on our Snowflake, Kafka, and AWS data ecosystem, and the ability to architect AI-enabled solutions including RAG pipelines and agentic workflows. Key Responsibilities Own end-to-end application architecture - design, integration patterns, deployment topology, scalability, resiliency, and security. Define architecture blueprints, reference patterns, and Architecture Decision Records (ADRs) for enterprise applications. Design integration architecture across core banking systems, data platforms, and downstream applications (APIs, event streams, batch). Architect data movement using Snowflake native components (Snowpark, Snowpipe, Streams & Tasks, Dynamic Tables) and dbt for transformations. Design Kafka-based real-time and event-driven integration patterns. Architect application and integration solutions on AWS (S3, Lambda, Glue, MSK, IAM, API Gateway). Architect RAG-based pipelines (retrieval strategy, vector store integration, LLM API integration) and design patterns for agentic workflows (tool-calling, orchestration, human-in-the-loop). Lead architecture reviews, enforce standards, and mentor engineering teams on design best practices. Maintain architecture documentation (system diagrams, data flows, sequence diagrams) and present designs to technical and business stakeholders. Ensure solutions align with banking regulatory and security requirements. Required Skills & Experience 10 years in application/solution architecture, preferably in financial services. Strong experience with Snowflake (Snowpark, Snowpipe, Streams/Tasks) and dbt. Hands-on experience with Kafka integration architecture. Strong working knowledge of AWS (S3, Lambda, Glue, MSK, IAM). Experience architecting end-to-end data movement (batch and streaming). Practical knowledge of RAG architecture (vector stores, embeddings, LLM integration) and agentic workflow design. Strong grasp of enterprise integration patterns, microservices, and API design. Ability to produce architecture artifacts (ADRs, diagrams) and communicate effectively with technical and executive stakeholders. Preferred Qualifications Banking/financial services experience, familiarity with SOX, PCI-DSS, GLBA. TOGAF, Snowflake (SnowPro Architect), or AWS Solutions Architect certification. Experience with Infrastructure-as-Code (Terraform/CloudFormation). Education Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or equivalent experience.
11/10/2026
Full time
Job Description Job Description Job Summary: Client is seeking an Application Architect to design scalable, secure application and integration architectures across our enterprise technology landscape, with strong emphasis on our Snowflake, Kafka, and AWS data ecosystem, and the ability to architect AI-enabled solutions including RAG pipelines and agentic workflows. Key Responsibilities Own end-to-end application architecture - design, integration patterns, deployment topology, scalability, resiliency, and security. Define architecture blueprints, reference patterns, and Architecture Decision Records (ADRs) for enterprise applications. Design integration architecture across core banking systems, data platforms, and downstream applications (APIs, event streams, batch). Architect data movement using Snowflake native components (Snowpark, Snowpipe, Streams & Tasks, Dynamic Tables) and dbt for transformations. Design Kafka-based real-time and event-driven integration patterns. Architect application and integration solutions on AWS (S3, Lambda, Glue, MSK, IAM, API Gateway). Architect RAG-based pipelines (retrieval strategy, vector store integration, LLM API integration) and design patterns for agentic workflows (tool-calling, orchestration, human-in-the-loop). Lead architecture reviews, enforce standards, and mentor engineering teams on design best practices. Maintain architecture documentation (system diagrams, data flows, sequence diagrams) and present designs to technical and business stakeholders. Ensure solutions align with banking regulatory and security requirements. Required Skills & Experience 10 years in application/solution architecture, preferably in financial services. Strong experience with Snowflake (Snowpark, Snowpipe, Streams/Tasks) and dbt. Hands-on experience with Kafka integration architecture. Strong working knowledge of AWS (S3, Lambda, Glue, MSK, IAM). Experience architecting end-to-end data movement (batch and streaming). Practical knowledge of RAG architecture (vector stores, embeddings, LLM integration) and agentic workflow design. Strong grasp of enterprise integration patterns, microservices, and API design. Ability to produce architecture artifacts (ADRs, diagrams) and communicate effectively with technical and executive stakeholders. Preferred Qualifications Banking/financial services experience, familiarity with SOX, PCI-DSS, GLBA. TOGAF, Snowflake (SnowPro Architect), or AWS Solutions Architect certification. Experience with Infrastructure-as-Code (Terraform/CloudFormation). Education Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or equivalent experience.
Job Description Job Description Times Square - onsite 4x/week Salary- $120-150,000 + bonus One of our clients is needing a Network Architect to join their team. You'll focus on deploying IPv6, enhancing security, delivering training on best practices, and providing architectural guidance to enrich both the networks and their teams. Key Responsibilities: Network Auditing and Planning Assess customer networks to identify opportunities, such as IPv4 addresses they could monetize. Develop and execute plans for IPv4 renumbering and IPv6 deployment. Recommend security enhancements and industry best practices. Training and Education Train non-technical and technical audiences on IPv4, IPv6, DNS, BGP, RPKI, RBLs, geolocation, and related topics. Effectively communicate complex technical concepts in a clear and engaging way. Architectural Guidance Provide technical advice on network architecture, including BGP, RPKI, and other concerns related to IPv4 transactions. Review and validate the technical accuracy of marketing and educational content. Demonstrate tools, such as ReView, to potential clients and partners. Qualifications: Network Expertise: In-depth understanding of IPv4 and IPv6, including addressing, security challenges, and deployment strategies. Hands-on experience with routing protocols (BGP, OSPF), routing policy (IRRs), and routing security (RPKI). Diverse Network Experience: Familiarity with ISP, enterprise IT, data center, and cloud environments, and an understanding of their unique challenges and priorities. Technical Communication: Excellent written and verbal communication skills to create proposals, deliver training, and document networks effectively. Security Knowledge: Strong grasp of security best practices, including ACLs, firewalls, IPS, 802.1x, AAA, and defense-in-depth strategies. Additional Skills (Preferred): Experience with network automation tools (e.g., Python, Go, Ansible). Consulting background with a track record of managing client expectations and delivering results. The network architect has three areas of responsibility: Audit a variety of networks and plan IPv4 renumbering, IPv6 deployment, and recommend security and other best practices. Train and explain technical topics to non-technical people, including staff and potential clients. Provide architectural guidance on potential products and services. Benefits: Medical, Dental, Vision, 401K Addison Group is an Equal Opportunity Employer. Addison Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Addison Group complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. Reasonable accommodation is available for qualified individuals with disabilities, upon request.
11/10/2026
Full time
Job Description Job Description Times Square - onsite 4x/week Salary- $120-150,000 + bonus One of our clients is needing a Network Architect to join their team. You'll focus on deploying IPv6, enhancing security, delivering training on best practices, and providing architectural guidance to enrich both the networks and their teams. Key Responsibilities: Network Auditing and Planning Assess customer networks to identify opportunities, such as IPv4 addresses they could monetize. Develop and execute plans for IPv4 renumbering and IPv6 deployment. Recommend security enhancements and industry best practices. Training and Education Train non-technical and technical audiences on IPv4, IPv6, DNS, BGP, RPKI, RBLs, geolocation, and related topics. Effectively communicate complex technical concepts in a clear and engaging way. Architectural Guidance Provide technical advice on network architecture, including BGP, RPKI, and other concerns related to IPv4 transactions. Review and validate the technical accuracy of marketing and educational content. Demonstrate tools, such as ReView, to potential clients and partners. Qualifications: Network Expertise: In-depth understanding of IPv4 and IPv6, including addressing, security challenges, and deployment strategies. Hands-on experience with routing protocols (BGP, OSPF), routing policy (IRRs), and routing security (RPKI). Diverse Network Experience: Familiarity with ISP, enterprise IT, data center, and cloud environments, and an understanding of their unique challenges and priorities. Technical Communication: Excellent written and verbal communication skills to create proposals, deliver training, and document networks effectively. Security Knowledge: Strong grasp of security best practices, including ACLs, firewalls, IPS, 802.1x, AAA, and defense-in-depth strategies. Additional Skills (Preferred): Experience with network automation tools (e.g., Python, Go, Ansible). Consulting background with a track record of managing client expectations and delivering results. The network architect has three areas of responsibility: Audit a variety of networks and plan IPv4 renumbering, IPv6 deployment, and recommend security and other best practices. Train and explain technical topics to non-technical people, including staff and potential clients. Provide architectural guidance on potential products and services. Benefits: Medical, Dental, Vision, 401K Addison Group is an Equal Opportunity Employer. Addison Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Addison Group complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. Reasonable accommodation is available for qualified individuals with disabilities, upon request.
Job Description Job Description Job Title: Senior Application Architect - AI Agentic, Integration & Architecture COE Location: New York, NY (Hybrid - 3 days onsite and 2 days remote per week) Duration: 12 Months / CONTRACT NO BENEFITS Working Hours: 37.5 hours per week Position Level: Senior Level Certifications: Cloud certification and other relevant certifications preferred. Position Summary We are seeking a highly experienced Senior Application Architect with deep expertise in agentic AI architecture, enterprise integration, and application architecture standards. This is a hands-on senior-level role responsible for designing AI-enabled and agent-based solutions, defining enterprise integration patterns, establishing application architecture standards, and contributing to the development of an Architecture Center of Excellence (COE). The ideal candidate will have extensive experience designing enterprise-scale solutions across Microsoft Azure, AWS, and hybrid cloud environments. The role requires strong technical leadership, a solid understanding of AI/LLM architectures, and the ability to establish secure, scalable, and reusable architectural patterns across the enterprise. Key Responsibilities 1. AI Agentic Architecture Design reference architectures for agentic AI solutions, including multi-agent orchestration, tool calling, Retrieval-Augmented Generation (RAG), and human-in-the-loop controls. Define secure architectural patterns for integrating AI agents with enterprise systems, APIs, and services, including Model Context Protocol (MCP) and event-driven triggers. Establish governance guardrails for agent identity, access management, auditability, observability, evaluation, and cost optimization. Ensure AI-enabled solutions meet enterprise security, scalability, reliability, and governance requirements. Develop reusable architectural frameworks and best practices for enterprise AI adoption. 2. Enterprise Integration Architecture Design and govern API-led, event-driven, and messaging-based integration architectures. Define API lifecycle management strategies, API gateway standards, and enterprise integration patterns. Establish integration approaches for legacy applications, SaaS platforms, and cloud-native systems. Ensure integration architectures support interoperability, scalability, security, and maintainability. Promote reusable integration components and standardized architectural practices across enterprise applications. 3. Architecture Standards and Center of Excellence (COE) Develop, publish, and maintain application, integration, API, and AI architecture standards. Create reference architectures, technical guidelines, reusable design patterns, and implementation playbooks. Help establish and operate an Architecture Center of Excellence, including its charter, governance forums, design reviews, training programs, and operational processes. Define architecture governance processes to ensure consistency, compliance, and alignment with enterprise technology strategy. Establish metrics to measure architecture standards adoption and COE effectiveness in coordination with AI and IT adoption tracking initiatives. Provide architectural guidance and support to development teams to encourage adherence to established standards. 4. Application Modernization, Security, and Collaboration Guide application modernization initiatives and cloud architecture design across Azure, AWS, and hybrid environments. Ensure architectural designs align with applicable security frameworks and organizational requirements, including NIST, the NIST AI Risk Management Framework (AI RMF), CIS, ISO 27001, and relevant transportation-sector security requirements. Collaborate with product management, software engineering, DevOps, and Cybersecurity teams to deliver secure and scalable enterprise solutions. Evaluate emerging technologies and recommend architectural approaches that support business objectives and technology modernization. Communicate architectural decisions, technical strategies, and recommendations effectively to executive leadership, business stakeholders, and technical teams. Provide technical leadership throughout solution design, architecture reviews, and implementation activities. Required Qualifications 10+ years of experience in application architecture or enterprise architecture. Demonstrated experience designing cloud-native applications and enterprise solutions using Microsoft Azure and/or AWS. Hands-on experience delivering enterprise AI, Large Language Model (LLM), or agentic AI solutions. Strong understanding of agentic AI architecture, multi-agent orchestration, RAG, tool calling, and AI governance. Proven experience developing, documenting, and maintaining enterprise architecture standards and reference architectures. Experience establishing or operating an Architecture Center of Excellence (COE), architecture review board, or similar governance function. Extensive knowledge of enterprise integration architecture, API management, event-driven architecture, and messaging patterns. Understanding of application modernization strategies, hybrid cloud environments, and enterprise technology integration. Strong knowledge of security architecture, risk management, and enterprise governance frameworks. Excellent communication and stakeholder management skills, including the ability to present architectural strategies and recommendations to executive-level audiences. Technical Skills and Experience Complex Data Architecture: 6+ years of experience. Information Architecture: 6+ years of experience. IT Architecture: 6+ years of experience. Cloud Architecture: Experience with Azure, AWS, and/or hybrid cloud environments. AI and Agentic Architecture: Experience with enterprise AI/LLM solutions, multi-agent orchestration, RAG, and secure AI integrations. Enterprise Integration: Strong expertise in API-led integration, event-driven architecture, messaging, and API lifecycle management. Architecture Governance: Experience developing standards, reference architectures, governance frameworks, and COE operating models. Security and Compliance: Familiarity with NIST AI RMF, CIS, ISO 27001, and enterprise security requirements. Preferred Certifications Microsoft Azure or AWS cloud certification. Additional relevant certifications in enterprise architecture, cloud architecture, AI, cybersecurity, or integration architecture.
11/10/2026
Full time
Job Description Job Description Job Title: Senior Application Architect - AI Agentic, Integration & Architecture COE Location: New York, NY (Hybrid - 3 days onsite and 2 days remote per week) Duration: 12 Months / CONTRACT NO BENEFITS Working Hours: 37.5 hours per week Position Level: Senior Level Certifications: Cloud certification and other relevant certifications preferred. Position Summary We are seeking a highly experienced Senior Application Architect with deep expertise in agentic AI architecture, enterprise integration, and application architecture standards. This is a hands-on senior-level role responsible for designing AI-enabled and agent-based solutions, defining enterprise integration patterns, establishing application architecture standards, and contributing to the development of an Architecture Center of Excellence (COE). The ideal candidate will have extensive experience designing enterprise-scale solutions across Microsoft Azure, AWS, and hybrid cloud environments. The role requires strong technical leadership, a solid understanding of AI/LLM architectures, and the ability to establish secure, scalable, and reusable architectural patterns across the enterprise. Key Responsibilities 1. AI Agentic Architecture Design reference architectures for agentic AI solutions, including multi-agent orchestration, tool calling, Retrieval-Augmented Generation (RAG), and human-in-the-loop controls. Define secure architectural patterns for integrating AI agents with enterprise systems, APIs, and services, including Model Context Protocol (MCP) and event-driven triggers. Establish governance guardrails for agent identity, access management, auditability, observability, evaluation, and cost optimization. Ensure AI-enabled solutions meet enterprise security, scalability, reliability, and governance requirements. Develop reusable architectural frameworks and best practices for enterprise AI adoption. 2. Enterprise Integration Architecture Design and govern API-led, event-driven, and messaging-based integration architectures. Define API lifecycle management strategies, API gateway standards, and enterprise integration patterns. Establish integration approaches for legacy applications, SaaS platforms, and cloud-native systems. Ensure integration architectures support interoperability, scalability, security, and maintainability. Promote reusable integration components and standardized architectural practices across enterprise applications. 3. Architecture Standards and Center of Excellence (COE) Develop, publish, and maintain application, integration, API, and AI architecture standards. Create reference architectures, technical guidelines, reusable design patterns, and implementation playbooks. Help establish and operate an Architecture Center of Excellence, including its charter, governance forums, design reviews, training programs, and operational processes. Define architecture governance processes to ensure consistency, compliance, and alignment with enterprise technology strategy. Establish metrics to measure architecture standards adoption and COE effectiveness in coordination with AI and IT adoption tracking initiatives. Provide architectural guidance and support to development teams to encourage adherence to established standards. 4. Application Modernization, Security, and Collaboration Guide application modernization initiatives and cloud architecture design across Azure, AWS, and hybrid environments. Ensure architectural designs align with applicable security frameworks and organizational requirements, including NIST, the NIST AI Risk Management Framework (AI RMF), CIS, ISO 27001, and relevant transportation-sector security requirements. Collaborate with product management, software engineering, DevOps, and Cybersecurity teams to deliver secure and scalable enterprise solutions. Evaluate emerging technologies and recommend architectural approaches that support business objectives and technology modernization. Communicate architectural decisions, technical strategies, and recommendations effectively to executive leadership, business stakeholders, and technical teams. Provide technical leadership throughout solution design, architecture reviews, and implementation activities. Required Qualifications 10+ years of experience in application architecture or enterprise architecture. Demonstrated experience designing cloud-native applications and enterprise solutions using Microsoft Azure and/or AWS. Hands-on experience delivering enterprise AI, Large Language Model (LLM), or agentic AI solutions. Strong understanding of agentic AI architecture, multi-agent orchestration, RAG, tool calling, and AI governance. Proven experience developing, documenting, and maintaining enterprise architecture standards and reference architectures. Experience establishing or operating an Architecture Center of Excellence (COE), architecture review board, or similar governance function. Extensive knowledge of enterprise integration architecture, API management, event-driven architecture, and messaging patterns. Understanding of application modernization strategies, hybrid cloud environments, and enterprise technology integration. Strong knowledge of security architecture, risk management, and enterprise governance frameworks. Excellent communication and stakeholder management skills, including the ability to present architectural strategies and recommendations to executive-level audiences. Technical Skills and Experience Complex Data Architecture: 6+ years of experience. Information Architecture: 6+ years of experience. IT Architecture: 6+ years of experience. Cloud Architecture: Experience with Azure, AWS, and/or hybrid cloud environments. AI and Agentic Architecture: Experience with enterprise AI/LLM solutions, multi-agent orchestration, RAG, and secure AI integrations. Enterprise Integration: Strong expertise in API-led integration, event-driven architecture, messaging, and API lifecycle management. Architecture Governance: Experience developing standards, reference architectures, governance frameworks, and COE operating models. Security and Compliance: Familiarity with NIST AI RMF, CIS, ISO 27001, and enterprise security requirements. Preferred Certifications Microsoft Azure or AWS cloud certification. Additional relevant certifications in enterprise architecture, cloud architecture, AI, cybersecurity, or integration architecture.
Job Description Job Description Revolutional delivers advanced technology solutions and mission support to federal agencies across civilian, health, and national security environments. We apply modern capabilities, including AI/ML, cloud, cybersecurity, and IT modernization to solve complex challenges, enable faster and more secure operations, and drive measurable mission outcomes. We are redefining how federal technology gets built and delivered by operating with a product mindset, prioritizing speed, ownership, and execution over bureaucracy. Description Title: QA Tester (Systems Modernization) Location: Remote Terms: Full-time Salary: $90-100k DoE Clearance: Qualified candidates must be US citizens AND have an active DHS Public Trust clearance Travel: 0-5% Project Description This position supports Revolutional's customer, DHS ICE (Enforcement and Removal Operations - ERO), where critical mission systems are undergoing modernization. The current environment consists of large, complex legacy systems that manage operational workflows (e.g., processing, tracking, and managing encounters). These systems have evolved over time and often include layers of business rules, manual processes, and tightly coupled functionality. The core challenge is not simply rebuilding these systems; it is: Understanding how they actually work in practice Identifying which functionality is mission-critical Eliminating unnecessary complexity Translating that functionality into a modern platform-based architecture As part of this effort, DHS is adopting Palantir as a target platform for modernization. Revolutional plays a key role in bridging legacy systems and this new platform, ensuring accurate translation of functionality while improving system design. Position Description As a QA Tester at Revolutional, you will own quality assurance across the full testing lifecycle while contributing to one of the most critical aspects of modernization: ensuring that complex, legacy system functionality is accurately and reliably translated into clean, scalable software. You will work across functional, integration, and specialized testing domains, but your role goes beyond test execution. You will be expected to: Analyze ambiguous legacy systems to identify testable requirements Design rigorous test strategies that reflect real operational workflows Identify gaps between documented behavior and actual system performance Help define quality standards for modernized systems moving forward You will operate in an environment where: Documentation is incomplete Requirements are not always well-defined Legacy behavior may not reflect optimal or intended design Success in this role requires analytical rigor, strong communication, and the ability to drive quality outcomes in ambiguous, fast-moving environments. Responsibilities: Design, implement, and optimize comprehensive test scripts and test plans that align with system modernization objectives Identify, document, and track defects through resolution, ensuring clear and actionable reporting Coordinate with the development team and stakeholders to ensure requirements are comprehensively understood and tested Actively participate in all relevant meetings (sprint ceremonies, planning sessions, stakeholder reviews) to ensure testing activities and effort are clearly communicated Seek to continuously improve testing processes to align with evolving requirements and rapid delivery cadences Support the full SDLC from a quality assurance perspective: requirements analysis, test planning, execution, defect management, and sign-off Collaborate with engineers to troubleshoot defects across application, integration, and data layers Complete Palantir training and certification (provided by Revolutional) and apply quality assurance practices within the platform Technical Environment Testing Tools: JIRA, Xray, and other modern QA tooling Application Stack Under Test: Java/Spring Boot backend services, React-based front-end components, RESTful APIs, relational databases, and legacy integration layers Practices: Agile delivery, CI/CD pipelines, sprint-based testing, defect lifecycle management Environment Note: This is a hybrid environment combining legacy systems and modern platform-based development. Testing must account for both existing legacy behavior and new modernized functionality, with a focus on validating accurate translation - not simply confirming that software runs. What You Bring (Requirements) Baseline Requirements US citizenship is required with an active DHS Public Trust clearance; DHS ICE public trust is preferred. Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience) 5+ years of hands-on software testing experience Experience working in complex or enterprise system environments Technical Capabilities Strong knowledge of software QA methodologies, tools, and best practices Proficiency with JIRA for defect tracking and project management; Xray experience strongly preferred Ability to design, write, and maintain detailed test plans and test scripts Experience testing RESTful APIs, backend services, and data-driven applications Experience in transforming manual testing into automated testing, using tools like Selenium or Playwright Familiarity with Agile or iterative delivery environments and sprint-based testing workflows Core Strengths Strong analytical skills with the ability to decompose complex workflows into testable requirements Strong communication and interpersonal skills, with the ability to articulate defects and testing status to both technical and non-technical stakeholders Strong organizational skills and the capacity to operate effectively in a fast-paced, deadline-driven environment High attention to detail and commitment to thoroughness in test coverage Ownership mindset and accountability for quality outcomes Nice to Have (Differentiators) Skills in specialized testing such as security testing, Section 508 compliance testing, and load/performance testing Experience with legacy system modernization or transformation efforts Experience supporting federal or mission-driven environments Exposure to enterprise data platforms or large-scale system integrations Experience deriving test requirements from real-world system usage rather than formal documentation _ Here at Revolutional we are pleased to have been repeatedly recognized for our outstanding work culture, the innovative work we do, and the employees on our team who make a difference each day. Some of these recognitions include: Recognized as a Top 20 "Best Place to Work in Virginia" Recipient of Department of Labor's HireVets Gold Medallion Great Place to Work Certification for five years running A Virginia Chamber of Commerce Fantastic 50 company A Northern Virginia Technology Council Tech 100 company Inc. 5000 list of fastest growing companies for eleven years Two-time SBA SBIR Tibbett's Award winner Virginia Values Veterans (V3) Certification We recognize that every bit of our success is the result of our teams of hard-working, motivated, and innovative professionals who are proud to call themselves part of the Revolutional family! In addition to competitive compensation, a family-focused culture, and a dynamic, productive work environment, we offer all full-time employees a variety of benefits including, but not limited to Traditional and HSA- eligible medical insurance plans 100% employer-paid dental and vision insurance options 100% employer-sponsored STD, LTD, and life insurance 5% 401(k) company matching Flexible-schedules and teleworking options Paid holidays and PTO Accrual Plans Paid Parental Leave Professional development and career growth opportunities Team and company-wide events, recognition, and appreciation and so much more! Check out our Revolutional LinkedIn to find out a little more about who we are and if we are the right next step for your career! Revolutional is an Equal Opportunity Employer providing equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, national origin, age, gender, gender identity, sexual orientation, disability, or genetics. Revolutional does and will take affirmative action to employ and advance in employment individuals with disabilities and protected veterans. To perform the above job successfully, an individual must possess the knowledge, skills, and abilities listed; meet the education and work experience required; and must be able to perform each essential duty and responsibility satisfactorily. Other duties in addition to those listed may be assigned as necessary to meet business needs . click apply for full job details
11/10/2026
Full time
Job Description Job Description Revolutional delivers advanced technology solutions and mission support to federal agencies across civilian, health, and national security environments. We apply modern capabilities, including AI/ML, cloud, cybersecurity, and IT modernization to solve complex challenges, enable faster and more secure operations, and drive measurable mission outcomes. We are redefining how federal technology gets built and delivered by operating with a product mindset, prioritizing speed, ownership, and execution over bureaucracy. Description Title: QA Tester (Systems Modernization) Location: Remote Terms: Full-time Salary: $90-100k DoE Clearance: Qualified candidates must be US citizens AND have an active DHS Public Trust clearance Travel: 0-5% Project Description This position supports Revolutional's customer, DHS ICE (Enforcement and Removal Operations - ERO), where critical mission systems are undergoing modernization. The current environment consists of large, complex legacy systems that manage operational workflows (e.g., processing, tracking, and managing encounters). These systems have evolved over time and often include layers of business rules, manual processes, and tightly coupled functionality. The core challenge is not simply rebuilding these systems; it is: Understanding how they actually work in practice Identifying which functionality is mission-critical Eliminating unnecessary complexity Translating that functionality into a modern platform-based architecture As part of this effort, DHS is adopting Palantir as a target platform for modernization. Revolutional plays a key role in bridging legacy systems and this new platform, ensuring accurate translation of functionality while improving system design. Position Description As a QA Tester at Revolutional, you will own quality assurance across the full testing lifecycle while contributing to one of the most critical aspects of modernization: ensuring that complex, legacy system functionality is accurately and reliably translated into clean, scalable software. You will work across functional, integration, and specialized testing domains, but your role goes beyond test execution. You will be expected to: Analyze ambiguous legacy systems to identify testable requirements Design rigorous test strategies that reflect real operational workflows Identify gaps between documented behavior and actual system performance Help define quality standards for modernized systems moving forward You will operate in an environment where: Documentation is incomplete Requirements are not always well-defined Legacy behavior may not reflect optimal or intended design Success in this role requires analytical rigor, strong communication, and the ability to drive quality outcomes in ambiguous, fast-moving environments. Responsibilities: Design, implement, and optimize comprehensive test scripts and test plans that align with system modernization objectives Identify, document, and track defects through resolution, ensuring clear and actionable reporting Coordinate with the development team and stakeholders to ensure requirements are comprehensively understood and tested Actively participate in all relevant meetings (sprint ceremonies, planning sessions, stakeholder reviews) to ensure testing activities and effort are clearly communicated Seek to continuously improve testing processes to align with evolving requirements and rapid delivery cadences Support the full SDLC from a quality assurance perspective: requirements analysis, test planning, execution, defect management, and sign-off Collaborate with engineers to troubleshoot defects across application, integration, and data layers Complete Palantir training and certification (provided by Revolutional) and apply quality assurance practices within the platform Technical Environment Testing Tools: JIRA, Xray, and other modern QA tooling Application Stack Under Test: Java/Spring Boot backend services, React-based front-end components, RESTful APIs, relational databases, and legacy integration layers Practices: Agile delivery, CI/CD pipelines, sprint-based testing, defect lifecycle management Environment Note: This is a hybrid environment combining legacy systems and modern platform-based development. Testing must account for both existing legacy behavior and new modernized functionality, with a focus on validating accurate translation - not simply confirming that software runs. What You Bring (Requirements) Baseline Requirements US citizenship is required with an active DHS Public Trust clearance; DHS ICE public trust is preferred. Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience) 5+ years of hands-on software testing experience Experience working in complex or enterprise system environments Technical Capabilities Strong knowledge of software QA methodologies, tools, and best practices Proficiency with JIRA for defect tracking and project management; Xray experience strongly preferred Ability to design, write, and maintain detailed test plans and test scripts Experience testing RESTful APIs, backend services, and data-driven applications Experience in transforming manual testing into automated testing, using tools like Selenium or Playwright Familiarity with Agile or iterative delivery environments and sprint-based testing workflows Core Strengths Strong analytical skills with the ability to decompose complex workflows into testable requirements Strong communication and interpersonal skills, with the ability to articulate defects and testing status to both technical and non-technical stakeholders Strong organizational skills and the capacity to operate effectively in a fast-paced, deadline-driven environment High attention to detail and commitment to thoroughness in test coverage Ownership mindset and accountability for quality outcomes Nice to Have (Differentiators) Skills in specialized testing such as security testing, Section 508 compliance testing, and load/performance testing Experience with legacy system modernization or transformation efforts Experience supporting federal or mission-driven environments Exposure to enterprise data platforms or large-scale system integrations Experience deriving test requirements from real-world system usage rather than formal documentation _ Here at Revolutional we are pleased to have been repeatedly recognized for our outstanding work culture, the innovative work we do, and the employees on our team who make a difference each day. Some of these recognitions include: Recognized as a Top 20 "Best Place to Work in Virginia" Recipient of Department of Labor's HireVets Gold Medallion Great Place to Work Certification for five years running A Virginia Chamber of Commerce Fantastic 50 company A Northern Virginia Technology Council Tech 100 company Inc. 5000 list of fastest growing companies for eleven years Two-time SBA SBIR Tibbett's Award winner Virginia Values Veterans (V3) Certification We recognize that every bit of our success is the result of our teams of hard-working, motivated, and innovative professionals who are proud to call themselves part of the Revolutional family! In addition to competitive compensation, a family-focused culture, and a dynamic, productive work environment, we offer all full-time employees a variety of benefits including, but not limited to Traditional and HSA- eligible medical insurance plans 100% employer-paid dental and vision insurance options 100% employer-sponsored STD, LTD, and life insurance 5% 401(k) company matching Flexible-schedules and teleworking options Paid holidays and PTO Accrual Plans Paid Parental Leave Professional development and career growth opportunities Team and company-wide events, recognition, and appreciation and so much more! Check out our Revolutional LinkedIn to find out a little more about who we are and if we are the right next step for your career! Revolutional is an Equal Opportunity Employer providing equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, national origin, age, gender, gender identity, sexual orientation, disability, or genetics. Revolutional does and will take affirmative action to employ and advance in employment individuals with disabilities and protected veterans. To perform the above job successfully, an individual must possess the knowledge, skills, and abilities listed; meet the education and work experience required; and must be able to perform each essential duty and responsibility satisfactorily. Other duties in addition to those listed may be assigned as necessary to meet business needs . click apply for full job details
Job Description Job Description: Artificial Intelligence/Machine Learning (AI/ML) Engineer - Skill Level 1 Specialization: Natural Language Processing (NLP), Multilingual Language Models & AI/ML DevelopmentRequired Clearance: Active TS Clearance with Customer Appropriate Polygraph Wyetech is seeking an Artificial Intelligence/Machine Learning (AI/ML) Engineer Level 1 to support the design, development, training, fine-tuning, evaluation, deployment, and sustainment of advanced machine learning models, with a particular emphasis on Natural Language Processing (NLP), multilingual language models, and AI-driven applications. The successful candidate will be responsible for building and optimizing language models, including Marian-based machine translation and multilingual model development, while supporting the complete machine learning lifecycle. This position requires hands-on experience with modern AI/ML frameworks, open-source model libraries, deep learning containers, GPU technologies, and cloud-based machine learning platforms. The AI/ML Engineer will collaborate with data scientists, software engineers, product teams, and mission stakeholders to develop scalable solutions that meet operational requirements. Responsibilities include model architecture design, training and retraining, statistical analysis, performance benchmarking, deployment, production integration, and ongoing optimization. The ideal candidate will possess strong programming experience in Java, C, and C++, familiarity with TensorFlow, PyTorch, or Hugging Face, and experience deploying AI/ML models using AWS services such as SageMaker, Lambda, EC2, and S3. A strong understanding of full-stack software development, data engineering, infrastructure management, and secure model deployment is also important.Required Skills/Experience Hands-on experience developing, training, fine-tuning, evaluating, and deploying machine learning models, particularly language models and NLP solutions. Demonstrated knowledge of language model architectures, training methodologies, optimization techniques, and model evaluation practices. Experience with Marian and multilingual language model development, including machine translation or multilingual NLP applications. Experience working with open-source machine learning model libraries and frameworks. Experience using deep learning containers (DLCs) to support model development, training, and deployment. Experience with GPU technologies, including GPU-based model training, performance optimization, and tuning. Strong programming experience in Java, C, and C++. Proficiency with AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face. Experience developing, training, retraining, testing, and optimizing machine learning models. Experience selecting appropriate datasets and performing statistical analysis to support model development. Experience evaluating model accuracy, performance, reliability, and operational effectiveness. Experience conducting error analysis, debugging, benchmarking, and model diagnostics. Experience using cloud-based AI/ML platforms, particularly AWS SageMaker. Familiarity with AWS services such as Lambda, EC2, and S3 for model development, deployment, and infrastructure integration. Experience integrating machine learning models into production applications and operational systems. Experience supporting full-stack software development, including frontend and backend application components. Experience developing software applications using JavaScript, Python, Java, or comparable programming languages. Strong understanding of data structures, algorithms, software architecture, and system design. Experience collaborating with software engineers to develop scalable model deployment pipelines. Experience working with cross-functional teams to translate operational requirements into technical AI/ML solutions. Experience documenting model architectures, development workflows, evaluation results, and technical specifications. Strong analytical, troubleshooting, communication, and problem-solving skills. Active TS/SCI clearance with Full Scope Polygraph completed within the past seven (7) years. Desired Skills/Experience Knowledge of computational linguistics and its application to natural language processing and multilingual model development. Experience developing or supporting Large Language Models (LLMs). Experience working in Government, Department of Defense, or Intelligence Community environments. Experience with secure data handling, data governance, and compliance requirements. Experience using MLflow, Git, or comparable tools for model versioning, experiment tracking, and lifecycle management. Experience using Kubernetes or comparable container orchestration technologies. Experience implementing machine learning operations (MLOps) practices and automated deployment pipelines. Experience optimizing GPU resource utilization for model training and inference. Experience improving multilingual model performance through data preprocessing, fine-tuning, and evaluation. Experience developing scalable cloud-native AI/ML applications. Experience supporting model monitoring, drift detection, and performance improvements in production environments. Experience developing and maintaining automated model training and evaluation workflows. Familiarity with infrastructure management, data engineering, and data pipeline integration. Experience supporting geographically distributed technical teams. Willingness to participate in occasional on-call support as needed. Responsibilities and Capabilities AI/ML Model Development and Training Design, develop, implement, and maintain machine learning algorithms and models to address mission and operational requirements. Build, train, fine-tune, and optimize language models, with particular emphasis on NLP and multilingual applications. Develop and enhance Marian-based machine translation and multilingual language model solutions. Select appropriate datasets to support model training, validation, and evaluation. Apply statistical analysis and machine learning methodologies to identify patterns, evaluate performance, and improve model effectiveness. Implement model architectures and training approaches that meet established functional and performance requirements. Train and retrain models using appropriate datasets, optimization techniques, and evaluation feedback. Utilize open-source machine learning frameworks, libraries, and packages to accelerate development. Apply best practices for model tuning, optimization, and performance improvement. Develop scalable AI/ML solutions capable of learning and generating predictions consistent with customer requirements. Natural Language Processing and Multilingual Model Development Develop and maintain NLP solutions supporting language understanding, translation, and multilingual processing. Support model development and optimization using Marian and related language model technologies. Evaluate multilingual model performance across supported languages and datasets. Apply appropriate preprocessing, tokenization, training, and fine-tuning methodologies. Analyze model outputs to identify translation errors, performance deficiencies, and opportunities for improvement. Collaborate with technical stakeholders to establish language model performance requirements. Support improvements to model accuracy, efficiency, and operational reliability. Investigate and recommend emerging NLP techniques and open-source model technologies. Model Evaluation, Testing, and Performance Optimization Execute standard AI/ML test and evaluation protocols. Conduct model benchmarking, performance analysis, and statistical evaluation. Perform error analysis, debugging, and model diagnostics to identify performance limitations. Evaluate model accuracy, reliability, efficiency, and operational effectiveness. Analyze evaluation results and implement improvements to model architectures, training methodologies, and inference processes. Support GPU optimization and tuning to improve training and inference performance. Document model evaluation methodologies, test results, and recommended improvements. Implement iterative model improvements based on user feedback, system performance, and evaluation findings. Monitor model performance and recommend retraining or configuration adjustments when necessary. Cloud-Based Model Deployment and Integration Develop and deploy AI/ML models using cloud-based platforms, particularly AWS SageMaker. Utilize AWS services such as Lambda, EC2, and S3 to support model development, deployment, storage, and integration. Integrate trained models into production applications and operational environments. Support the deployment, scheduling, monitoring, and maintenance of AI/ML models. Collaborate with software engineering and infrastructure teams to establish reliable model deployment workflows. Support containerized AI/ML environments using deep learning containers and related technologies. Assist with model scaling, infrastructure optimization, and production performance improvements. Provide system integration oversight to ensure AI/ML solutions operate effectively with supporting applications and infrastructure. Troubleshoot model deployment, compatibility, performance, and integration issues. Full-Stack Software Engineering Contribute to the development and maintenance of frontend and backend components supporting AI/ML applications. Develop software components using Java, C, C++, Python, JavaScript, or other applicable programming languages. Collaborate with software engineers to integrate AI/ML models into scalable application architectures. Support the design and implementation of interfaces connecting model services with enterprise applications. Apply software engineering principles to improve application reliability, performance, and maintainability . click apply for full job details
11/10/2026
Full time
Job Description Job Description: Artificial Intelligence/Machine Learning (AI/ML) Engineer - Skill Level 1 Specialization: Natural Language Processing (NLP), Multilingual Language Models & AI/ML DevelopmentRequired Clearance: Active TS Clearance with Customer Appropriate Polygraph Wyetech is seeking an Artificial Intelligence/Machine Learning (AI/ML) Engineer Level 1 to support the design, development, training, fine-tuning, evaluation, deployment, and sustainment of advanced machine learning models, with a particular emphasis on Natural Language Processing (NLP), multilingual language models, and AI-driven applications. The successful candidate will be responsible for building and optimizing language models, including Marian-based machine translation and multilingual model development, while supporting the complete machine learning lifecycle. This position requires hands-on experience with modern AI/ML frameworks, open-source model libraries, deep learning containers, GPU technologies, and cloud-based machine learning platforms. The AI/ML Engineer will collaborate with data scientists, software engineers, product teams, and mission stakeholders to develop scalable solutions that meet operational requirements. Responsibilities include model architecture design, training and retraining, statistical analysis, performance benchmarking, deployment, production integration, and ongoing optimization. The ideal candidate will possess strong programming experience in Java, C, and C++, familiarity with TensorFlow, PyTorch, or Hugging Face, and experience deploying AI/ML models using AWS services such as SageMaker, Lambda, EC2, and S3. A strong understanding of full-stack software development, data engineering, infrastructure management, and secure model deployment is also important.Required Skills/Experience Hands-on experience developing, training, fine-tuning, evaluating, and deploying machine learning models, particularly language models and NLP solutions. Demonstrated knowledge of language model architectures, training methodologies, optimization techniques, and model evaluation practices. Experience with Marian and multilingual language model development, including machine translation or multilingual NLP applications. Experience working with open-source machine learning model libraries and frameworks. Experience using deep learning containers (DLCs) to support model development, training, and deployment. Experience with GPU technologies, including GPU-based model training, performance optimization, and tuning. Strong programming experience in Java, C, and C++. Proficiency with AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face. Experience developing, training, retraining, testing, and optimizing machine learning models. Experience selecting appropriate datasets and performing statistical analysis to support model development. Experience evaluating model accuracy, performance, reliability, and operational effectiveness. Experience conducting error analysis, debugging, benchmarking, and model diagnostics. Experience using cloud-based AI/ML platforms, particularly AWS SageMaker. Familiarity with AWS services such as Lambda, EC2, and S3 for model development, deployment, and infrastructure integration. Experience integrating machine learning models into production applications and operational systems. Experience supporting full-stack software development, including frontend and backend application components. Experience developing software applications using JavaScript, Python, Java, or comparable programming languages. Strong understanding of data structures, algorithms, software architecture, and system design. Experience collaborating with software engineers to develop scalable model deployment pipelines. Experience working with cross-functional teams to translate operational requirements into technical AI/ML solutions. Experience documenting model architectures, development workflows, evaluation results, and technical specifications. Strong analytical, troubleshooting, communication, and problem-solving skills. Active TS/SCI clearance with Full Scope Polygraph completed within the past seven (7) years. Desired Skills/Experience Knowledge of computational linguistics and its application to natural language processing and multilingual model development. Experience developing or supporting Large Language Models (LLMs). Experience working in Government, Department of Defense, or Intelligence Community environments. Experience with secure data handling, data governance, and compliance requirements. Experience using MLflow, Git, or comparable tools for model versioning, experiment tracking, and lifecycle management. Experience using Kubernetes or comparable container orchestration technologies. Experience implementing machine learning operations (MLOps) practices and automated deployment pipelines. Experience optimizing GPU resource utilization for model training and inference. Experience improving multilingual model performance through data preprocessing, fine-tuning, and evaluation. Experience developing scalable cloud-native AI/ML applications. Experience supporting model monitoring, drift detection, and performance improvements in production environments. Experience developing and maintaining automated model training and evaluation workflows. Familiarity with infrastructure management, data engineering, and data pipeline integration. Experience supporting geographically distributed technical teams. Willingness to participate in occasional on-call support as needed. Responsibilities and Capabilities AI/ML Model Development and Training Design, develop, implement, and maintain machine learning algorithms and models to address mission and operational requirements. Build, train, fine-tune, and optimize language models, with particular emphasis on NLP and multilingual applications. Develop and enhance Marian-based machine translation and multilingual language model solutions. Select appropriate datasets to support model training, validation, and evaluation. Apply statistical analysis and machine learning methodologies to identify patterns, evaluate performance, and improve model effectiveness. Implement model architectures and training approaches that meet established functional and performance requirements. Train and retrain models using appropriate datasets, optimization techniques, and evaluation feedback. Utilize open-source machine learning frameworks, libraries, and packages to accelerate development. Apply best practices for model tuning, optimization, and performance improvement. Develop scalable AI/ML solutions capable of learning and generating predictions consistent with customer requirements. Natural Language Processing and Multilingual Model Development Develop and maintain NLP solutions supporting language understanding, translation, and multilingual processing. Support model development and optimization using Marian and related language model technologies. Evaluate multilingual model performance across supported languages and datasets. Apply appropriate preprocessing, tokenization, training, and fine-tuning methodologies. Analyze model outputs to identify translation errors, performance deficiencies, and opportunities for improvement. Collaborate with technical stakeholders to establish language model performance requirements. Support improvements to model accuracy, efficiency, and operational reliability. Investigate and recommend emerging NLP techniques and open-source model technologies. Model Evaluation, Testing, and Performance Optimization Execute standard AI/ML test and evaluation protocols. Conduct model benchmarking, performance analysis, and statistical evaluation. Perform error analysis, debugging, and model diagnostics to identify performance limitations. Evaluate model accuracy, reliability, efficiency, and operational effectiveness. Analyze evaluation results and implement improvements to model architectures, training methodologies, and inference processes. Support GPU optimization and tuning to improve training and inference performance. Document model evaluation methodologies, test results, and recommended improvements. Implement iterative model improvements based on user feedback, system performance, and evaluation findings. Monitor model performance and recommend retraining or configuration adjustments when necessary. Cloud-Based Model Deployment and Integration Develop and deploy AI/ML models using cloud-based platforms, particularly AWS SageMaker. Utilize AWS services such as Lambda, EC2, and S3 to support model development, deployment, storage, and integration. Integrate trained models into production applications and operational environments. Support the deployment, scheduling, monitoring, and maintenance of AI/ML models. Collaborate with software engineering and infrastructure teams to establish reliable model deployment workflows. Support containerized AI/ML environments using deep learning containers and related technologies. Assist with model scaling, infrastructure optimization, and production performance improvements. Provide system integration oversight to ensure AI/ML solutions operate effectively with supporting applications and infrastructure. Troubleshoot model deployment, compatibility, performance, and integration issues. Full-Stack Software Engineering Contribute to the development and maintenance of frontend and backend components supporting AI/ML applications. Develop software components using Java, C, C++, Python, JavaScript, or other applicable programming languages. Collaborate with software engineers to integrate AI/ML models into scalable application architectures. Support the design and implementation of interfaces connecting model services with enterprise applications. Apply software engineering principles to improve application reliability, performance, and maintainability . click apply for full job details
Job Description Job Description Akumen, Inc. is seeking an experienced Cloud Application Security Analyst to support the security of mission-critical web, mobile, API, and cloud-based applications. This role partners with software engineering, DevOps, quality assurance, infrastructure, and cybersecurity teams to identify vulnerabilities, integrate security controls into the software development lifecycle, and strengthen secure engineering practices across the organization. Position Overview: The Cloud Application Security Analyst performs application security testing, secure design and code reviews, vulnerability triage, threat modeling, and cloud security configuration support. The successful candidate will apply Zero Trust and defense-in-depth principles, automate security validation within CI/CD pipelines, and help development teams remediate application and cloud security risks before production deployment. Key Responsibilities: Perform static application security testing (SAST), dynamic application security testing (DAST), and targeted manual security reviews for web and mobile applications. Review source code, APIs, application architectures, and cloud designs to identify security weaknesses before production release. Triage, prioritize, document, and support remediation of vulnerabilities, including issues aligned with the OWASP Top 10. Integrate automated security scanning and validation into CI/CD pipelines using platforms such as GitHub, GitLab, or Jenkins. Conduct threat modeling for new features, applications, APIs, and microservices, and maintain supporting security evidence and diagrams. Protect public-facing applications, internal services, APIs, and cloud resources through appropriate network security controls, segmentation, traffic inspection, and secure configuration. Deploy and manage cloud networking and security controls using Terraform, Bicep, ARM templates, or comparable Infrastructure as Code tools. Maintain repeatable secure configuration templates, technical baselines, controlled changes, and automated validation procedures. Partner with application, cloud, infrastructure, QA, and engineering teams to eliminate unnecessary exposure and overly permissive configurations. Research emerging application-layer and cloud threats, update internal security guidance, and promote secure coding and DevSecOps practices. Minimum Qualifications: Bachelor's degree in Information Technology, Computer Science, Cybersecurity, Engineering, a related discipline, or equivalent relevant experience. At least three years of experience in network engineering, cloud networking, network security, application security, or cloud security infrastructure support. Demonstrated knowledge of the OWASP Top 10, web application architecture, HTTP, APIs, REST, and GraphQL. Hands-on experience with SAST/DAST tools, vulnerability triage, manual code review, and secure SDLC or CI/CD workflows. Working knowledge of at least one programming or scripting language, such as Python, JavaScript, Java, or C#, with strong analytical, troubleshooting, communication, and cross-functional collaboration skills. Preferred Qualifications: Hands-on experience securing cloud environments in Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). Experience with container and orchestration security, including Docker and Kubernetes. Experience using Infrastructure as Code tools such as Terraform, Bicep, or ARM templates to deploy and validate security controls. Experience configuring enterprise or cloud-native firewalls, integrating third-party network security appliances, and troubleshooting complex cloud connectivity, application, firewall, and API issues. Relevant certifications such as Certified Secure Software Lifecycle Professional (CSSLP), CompTIA Security+, or an ethical hacking certification. Clearance Requirement: Active Secret security clearance or higher. Salary Range: Minimum $115,000 - Maximum $135,000 annually The salary range listed for this position reflects Akumen, Inc.'s current estimate of the expected compensation for this role at the time of posting. Actual compensation may vary based on a variety of factors, including a candidate's experience, education, certifications, technical skills, security clearance status, geographic location, and alignment with contract, labor category, and customer requirements. Compensation decisions may also be influenced by contract award status and available funding . Akumen, Inc. is an equal employment opportunity employer. All employment decisions are made based on qualifications, merit, and business needs, and without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We are committed to a respectful and inclusive workplace where all individuals have the opportunity to succeed. Akumen, Inc. maintains a drug-free workplace consistent with applicable local, state, and federal laws.
11/10/2026
Full time
Job Description Job Description Akumen, Inc. is seeking an experienced Cloud Application Security Analyst to support the security of mission-critical web, mobile, API, and cloud-based applications. This role partners with software engineering, DevOps, quality assurance, infrastructure, and cybersecurity teams to identify vulnerabilities, integrate security controls into the software development lifecycle, and strengthen secure engineering practices across the organization. Position Overview: The Cloud Application Security Analyst performs application security testing, secure design and code reviews, vulnerability triage, threat modeling, and cloud security configuration support. The successful candidate will apply Zero Trust and defense-in-depth principles, automate security validation within CI/CD pipelines, and help development teams remediate application and cloud security risks before production deployment. Key Responsibilities: Perform static application security testing (SAST), dynamic application security testing (DAST), and targeted manual security reviews for web and mobile applications. Review source code, APIs, application architectures, and cloud designs to identify security weaknesses before production release. Triage, prioritize, document, and support remediation of vulnerabilities, including issues aligned with the OWASP Top 10. Integrate automated security scanning and validation into CI/CD pipelines using platforms such as GitHub, GitLab, or Jenkins. Conduct threat modeling for new features, applications, APIs, and microservices, and maintain supporting security evidence and diagrams. Protect public-facing applications, internal services, APIs, and cloud resources through appropriate network security controls, segmentation, traffic inspection, and secure configuration. Deploy and manage cloud networking and security controls using Terraform, Bicep, ARM templates, or comparable Infrastructure as Code tools. Maintain repeatable secure configuration templates, technical baselines, controlled changes, and automated validation procedures. Partner with application, cloud, infrastructure, QA, and engineering teams to eliminate unnecessary exposure and overly permissive configurations. Research emerging application-layer and cloud threats, update internal security guidance, and promote secure coding and DevSecOps practices. Minimum Qualifications: Bachelor's degree in Information Technology, Computer Science, Cybersecurity, Engineering, a related discipline, or equivalent relevant experience. At least three years of experience in network engineering, cloud networking, network security, application security, or cloud security infrastructure support. Demonstrated knowledge of the OWASP Top 10, web application architecture, HTTP, APIs, REST, and GraphQL. Hands-on experience with SAST/DAST tools, vulnerability triage, manual code review, and secure SDLC or CI/CD workflows. Working knowledge of at least one programming or scripting language, such as Python, JavaScript, Java, or C#, with strong analytical, troubleshooting, communication, and cross-functional collaboration skills. Preferred Qualifications: Hands-on experience securing cloud environments in Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). Experience with container and orchestration security, including Docker and Kubernetes. Experience using Infrastructure as Code tools such as Terraform, Bicep, or ARM templates to deploy and validate security controls. Experience configuring enterprise or cloud-native firewalls, integrating third-party network security appliances, and troubleshooting complex cloud connectivity, application, firewall, and API issues. Relevant certifications such as Certified Secure Software Lifecycle Professional (CSSLP), CompTIA Security+, or an ethical hacking certification. Clearance Requirement: Active Secret security clearance or higher. Salary Range: Minimum $115,000 - Maximum $135,000 annually The salary range listed for this position reflects Akumen, Inc.'s current estimate of the expected compensation for this role at the time of posting. Actual compensation may vary based on a variety of factors, including a candidate's experience, education, certifications, technical skills, security clearance status, geographic location, and alignment with contract, labor category, and customer requirements. Compensation decisions may also be influenced by contract award status and available funding . Akumen, Inc. is an equal employment opportunity employer. All employment decisions are made based on qualifications, merit, and business needs, and without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We are committed to a respectful and inclusive workplace where all individuals have the opportunity to succeed. Akumen, Inc. maintains a drug-free workplace consistent with applicable local, state, and federal laws.
Job Description Job Description Description: Mantis Security is seeking software engineers with systems programming expertise and a strong background in database engineering. This role focuses on understanding how database engines and core services work internally, reading source code, examining network communications, and modifying software to support mission requirements. Candidates should be able to move beyond queries, schemas, and application interfaces to understand how a database processes requests, exchanges data, and interacts with other components. The work involves tracing behavior through unfamiliar codebases and protocols, identifying where changes belong, and understanding their effects across an integrated technology stack. This role is full time on-site. What You'll Do Develop, maintain, test, and deploy secure, scalable applications and services using C, C++, Rust, Go, Java, Python, or Node.js. Apply systems programming principles, particularly in C, C++, and Rust, to develop performant and reliable software components. Develop software supporting process creation, monitoring, control, and inter-process communication. Build concurrent and multithreaded applications using appropriate synchronization, signal handling, memory management, and resource-control techniques. Design, implement, and troubleshoot networked applications using sockets, client-server architectures, and applicable network protocols. Analyze database engine source code, communication protocols, request and response formats, serialization, and packet layouts to support development and integration. Trace requests through database engine code to identify processing logic, integration points, and the effects of proposed modifications. Develop relational data-storage solutions using Structured Query Language (SQL), including data modeling, query development, performance tuning, and access control. Develop and integrate graph database solutions supporting relationship-based data modeling, analysis, and retrieval. Work across relational databases, graph databases, object storage, and search/indexing engines, including technologies such as PostgreSQL, Redis, RxDB, Neo4j, Amazon S3, and Elasticsearch. Refactor and modernize existing services, including transitioning functionality from Python to other implementation languages where appropriate. Develop and maintain Infrastructure as Code (IaC) to provision, configure, and manage infrastructure through repeatable, version-controlled workflows. Deploy, monitor, and troubleshoot cloud-hosted software, including dependencies on compute, storage, networking, identity, and security services. Integrate applications with identity providers to support authentication, authorization, federation, single sign-on, and identity-aware access control. Implement OpenID Connect (OIDC) integrations, including token validation, claims processing, client registration, redirect flows, session management, and secure API access. Incorporate Zero Trust Architecture principles into software designs, including interactions among policy decision, administration, information, and enforcement components. Collaborate with cybersecurity, infrastructure, data, and mission stakeholders to integrate security controls, cryptographic protections, logging, monitoring, and auditability throughout the software development lifecycle. Produce and maintain software designs, interface specifications, deployment procedures, configuration baselines, security implementation details, and operational support materials. Requirements: Basic Qualifications Bachelor's degree in a quantitative field such as engineering or mathematics. Relevant fields include Electrical Engineering, Computer Engineering, Computer Science, Information Technology, and Information Systems. Typical experience: 10 years of professional software engineering experience. Active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance with the ability to obtain a Counterintelligence (CI) Polygraph. Prior experience supporting the Intelligence Community. Experience applying programming concepts in a professional or academic setting. Experience applying modern software development methodologies, such as Agile, DevOps, or DevSecOps, in a professional or academic setting. Hands-on systems programming experience in one or more of C, C++, or Rust, with the ability to work across additional languages and runtimes as needed. Experience with operating-system interfaces, process management, inter-process communication, concurrency, and multithreaded application development. Understanding of synchronization primitives, signal handling, memory management, and resource management. Experience developing or troubleshooting socket-based applications and client-server communications. Experience with database engine internals, network protocol development, or comparable source-code and low-level systems analysis. Ability to navigate unfamiliar source code, trace execution and data flows, and assess how changes affect performance, interoperability, concurrency, and security. Experience with relational database design, SQL, query optimization, and database access controls. Understanding of graph database concepts and their application to relationship-based data. Experience developing infrastructure automation and deploying or supporting software in cloud environments. Experience integrating applications with identity services using OIDC and applying authentication and authorization controls. Understanding of Zero Trust Architecture concepts, including Policy Decision Points (PDPs), Policy Administration Points (PAPs), Policy Information Points (PIPs), and Policy Enforcement Points (PEPs). Strong troubleshooting, technical documentation, and collaboration skills. Agile Developer certification or Certified Scrum Developer certification. CompTIA Security+ or higher-level cybersecurity certification. We are looking for experienced engineers who want to understand how systems work, can reason through complex code and communications, and are comfortable making changes below the application layer. Candidates who meet the basic qualifications do not need experience with every technology listed under desired qualifications. Depth in systems programming and database engineering, paired with the ability to learn adjacent technologies, is what matters most. Desired Qualifications Advanced education: Master's degree in a quantitative field such as engineering or mathematics. Relevant fields include Electrical Engineering, Computer Engineering, Computer Science, Information Technology, and Information Systems. Database engineering: Experience with PostgreSQL and Neo4j, including database design, administration, performance optimization, and application integration. Protocol engineering: Experience interpreting packet captures, working with binary message formats, developing protocol parsers, or modifying database clients, drivers, extensions, or engine code. Infrastructure automation: Experience using Terraform and Ansible for cloud infrastructure provisioning, configuration management, and application deployment. Cloud and platform engineering: Experience deploying and maintaining applications and infrastructure in Amazon Web Services (AWS), including AWS GovCloud, Kubernetes, Red Hat OpenShift, and environments subject to Department of Defense Impact Level 5 requirements. Identity platforms: Experience with PingFederate, Keycloak, Radiant Logic, SailPoint, Secret Server, or Okta; experience migrating identity providers and adapting application code is especially useful. Public Key Infrastructure (PKI): Experience implementing certificate lifecycle management, key management, certificate validation, and cryptographic service integrations. Cryptographic interfaces: Experience using PKCS to integrate applications with cryptographic tokens, Hardware Security Modules (HSMs), or other secure key-storage mechanisms. Modern cryptography: Experience implementing, evaluating, or integrating cryptographic algorithms, including Module-Lattice-Based Key-Encapsulation Mechanism (ML-KEM). Data protection and service integration: Experience with Trusted Data Format (TDF), Go-based security services, enterprise service integration, or serialization technologies such as Protocol Buffers.
11/10/2026
Full time
Job Description Job Description Description: Mantis Security is seeking software engineers with systems programming expertise and a strong background in database engineering. This role focuses on understanding how database engines and core services work internally, reading source code, examining network communications, and modifying software to support mission requirements. Candidates should be able to move beyond queries, schemas, and application interfaces to understand how a database processes requests, exchanges data, and interacts with other components. The work involves tracing behavior through unfamiliar codebases and protocols, identifying where changes belong, and understanding their effects across an integrated technology stack. This role is full time on-site. What You'll Do Develop, maintain, test, and deploy secure, scalable applications and services using C, C++, Rust, Go, Java, Python, or Node.js. Apply systems programming principles, particularly in C, C++, and Rust, to develop performant and reliable software components. Develop software supporting process creation, monitoring, control, and inter-process communication. Build concurrent and multithreaded applications using appropriate synchronization, signal handling, memory management, and resource-control techniques. Design, implement, and troubleshoot networked applications using sockets, client-server architectures, and applicable network protocols. Analyze database engine source code, communication protocols, request and response formats, serialization, and packet layouts to support development and integration. Trace requests through database engine code to identify processing logic, integration points, and the effects of proposed modifications. Develop relational data-storage solutions using Structured Query Language (SQL), including data modeling, query development, performance tuning, and access control. Develop and integrate graph database solutions supporting relationship-based data modeling, analysis, and retrieval. Work across relational databases, graph databases, object storage, and search/indexing engines, including technologies such as PostgreSQL, Redis, RxDB, Neo4j, Amazon S3, and Elasticsearch. Refactor and modernize existing services, including transitioning functionality from Python to other implementation languages where appropriate. Develop and maintain Infrastructure as Code (IaC) to provision, configure, and manage infrastructure through repeatable, version-controlled workflows. Deploy, monitor, and troubleshoot cloud-hosted software, including dependencies on compute, storage, networking, identity, and security services. Integrate applications with identity providers to support authentication, authorization, federation, single sign-on, and identity-aware access control. Implement OpenID Connect (OIDC) integrations, including token validation, claims processing, client registration, redirect flows, session management, and secure API access. Incorporate Zero Trust Architecture principles into software designs, including interactions among policy decision, administration, information, and enforcement components. Collaborate with cybersecurity, infrastructure, data, and mission stakeholders to integrate security controls, cryptographic protections, logging, monitoring, and auditability throughout the software development lifecycle. Produce and maintain software designs, interface specifications, deployment procedures, configuration baselines, security implementation details, and operational support materials. Requirements: Basic Qualifications Bachelor's degree in a quantitative field such as engineering or mathematics. Relevant fields include Electrical Engineering, Computer Engineering, Computer Science, Information Technology, and Information Systems. Typical experience: 10 years of professional software engineering experience. Active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance with the ability to obtain a Counterintelligence (CI) Polygraph. Prior experience supporting the Intelligence Community. Experience applying programming concepts in a professional or academic setting. Experience applying modern software development methodologies, such as Agile, DevOps, or DevSecOps, in a professional or academic setting. Hands-on systems programming experience in one or more of C, C++, or Rust, with the ability to work across additional languages and runtimes as needed. Experience with operating-system interfaces, process management, inter-process communication, concurrency, and multithreaded application development. Understanding of synchronization primitives, signal handling, memory management, and resource management. Experience developing or troubleshooting socket-based applications and client-server communications. Experience with database engine internals, network protocol development, or comparable source-code and low-level systems analysis. Ability to navigate unfamiliar source code, trace execution and data flows, and assess how changes affect performance, interoperability, concurrency, and security. Experience with relational database design, SQL, query optimization, and database access controls. Understanding of graph database concepts and their application to relationship-based data. Experience developing infrastructure automation and deploying or supporting software in cloud environments. Experience integrating applications with identity services using OIDC and applying authentication and authorization controls. Understanding of Zero Trust Architecture concepts, including Policy Decision Points (PDPs), Policy Administration Points (PAPs), Policy Information Points (PIPs), and Policy Enforcement Points (PEPs). Strong troubleshooting, technical documentation, and collaboration skills. Agile Developer certification or Certified Scrum Developer certification. CompTIA Security+ or higher-level cybersecurity certification. We are looking for experienced engineers who want to understand how systems work, can reason through complex code and communications, and are comfortable making changes below the application layer. Candidates who meet the basic qualifications do not need experience with every technology listed under desired qualifications. Depth in systems programming and database engineering, paired with the ability to learn adjacent technologies, is what matters most. Desired Qualifications Advanced education: Master's degree in a quantitative field such as engineering or mathematics. Relevant fields include Electrical Engineering, Computer Engineering, Computer Science, Information Technology, and Information Systems. Database engineering: Experience with PostgreSQL and Neo4j, including database design, administration, performance optimization, and application integration. Protocol engineering: Experience interpreting packet captures, working with binary message formats, developing protocol parsers, or modifying database clients, drivers, extensions, or engine code. Infrastructure automation: Experience using Terraform and Ansible for cloud infrastructure provisioning, configuration management, and application deployment. Cloud and platform engineering: Experience deploying and maintaining applications and infrastructure in Amazon Web Services (AWS), including AWS GovCloud, Kubernetes, Red Hat OpenShift, and environments subject to Department of Defense Impact Level 5 requirements. Identity platforms: Experience with PingFederate, Keycloak, Radiant Logic, SailPoint, Secret Server, or Okta; experience migrating identity providers and adapting application code is especially useful. Public Key Infrastructure (PKI): Experience implementing certificate lifecycle management, key management, certificate validation, and cryptographic service integrations. Cryptographic interfaces: Experience using PKCS to integrate applications with cryptographic tokens, Hardware Security Modules (HSMs), or other secure key-storage mechanisms. Modern cryptography: Experience implementing, evaluating, or integrating cryptographic algorithms, including Module-Lattice-Based Key-Encapsulation Mechanism (ML-KEM). Data protection and service integration: Experience with Trusted Data Format (TDF), Go-based security services, enterprise service integration, or serialization technologies such as Protocol Buffers.
