Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities Confluent's Cloud Networking team is responsible for making connectivity to and from Confluent Cloud reliable, scalable, secure, cost-efficient, and simple to use - across Kafka, Flink, Connectors, Data Governance, and Tableflow, on AWS, Azure, and GCP. As Staff PM for Cloud Networking, you will own the platform strategy for how enterprises connect to Confluent Cloud. This is not a feature-level role - you will define the architecture of our networking product surface across all clouds and connection models, set the multi-year roadmap, and operate as a co-decision-maker alongside engineering leadership on the technical direction of the platform. You will work across all networking connection types - PrivateLink, VNet peering, Transit Gateway, Private Service Connect, and egress optimization - and drive alignment across engineering, field, and executive stakeholders on what we build and why. What You Will Do: • Own the platform strategy for Confluent Cloud Networking across AWS, Azure, and GCP, defining the north star, multi-year roadmap, and sequencing of bets that balance customer connectivity needs, cost efficiency, security posture, and engineering leverage. • Define frameworks and standards that other PMs, designers, and engineers use to evaluate networking decisions, including connection model selection criteria, cost attribution models, security control frameworks, and launch readiness standards. • Drive architectural decisions in partnership with engineering leadership, weighing trade-offs between user experience, cost, and operational complexity. • Expand scope and create optionality by identifying adjacent areas the team should move into, such as network observability, cost transparency tooling, and next-generation isolation models, and building the business case for investment. • Develop the product team by mentoring Senior PMs, providing feedback on product documents and roadmap thinking, and raising the bar on customer research and decision-making. • Build senior stakeholder alignment across product, engineering, sales, field, legal, and security organizations, then present the platform vision to executive leadership to secure organizational investment. Develop compelling business cases, clearly communicate trade-offs, and earn commitment for multi-year platform bets. • Define and own success metrics at the platform level, connecting technical milestones to business outcomes including revenue, retention, attach rates, and infrastructure cost efficiency. • Engage directly with strategic customers and prospects, representing the product roadmap with credibility in technical conversations with enterprise CTOs, architects, and network engineers. Required Skills • 8+ years of product management experience, with at least 3 years owning a cloud infrastructure, platform, or networking product. • Demonstrated track record of setting product strategy and roadmap at a platform or portfolio level, not just feature-level delivery. • Deep fluency in cloud networking concepts, including PrivateLink, VNet peering, Transit Gateway, Private Service Connect, DNS, security groups, CIDR/IP management, and the trade-offs across AWS, Azure, and GCP. • Experience owning products that serve enterprise customers with complex compliance, security, and connectivity requirements. • Proven ability to partner with engineering leadership as a co-decision-maker on architectural direction, rather than simply translating engineering output. • Strong analytical foundation with the ability to model unit economics, build business cases with cost and risk sensitivity, and measure platform health through leading and lagging indicators. • Practices AI-native product management by using AI tools as a true thought partner throughout the product lifecycle, including research, prioritization, specification writing, and analytics. Demonstrates sound judgment on when to use, override, and validate AI-generated outputs, while also designing products, features, and APIs that are composable, observable, and easy for AI agents and automation to consume. • Experience developing Product Managers and raising the bar on product thinking through direct mentorship, feedback, and team processes. Preferred Skills • Experience with Envoy, Service Mesh, DNS, and Kubernetes networking. • Familiarity with Terraform, API-first development, infrastructure-as-code workflows, and the networking automation practices used by enterprise engineering teams. • Exposure to network traffic metering, data transfer billing attribution, cost transparency tooling, or pricing and packaging strategy for cloud infrastructure products, including defining packaging tiers, price points, and commercial models for enterprise buyers. • Experience operating in a product-led growth (PLG) or usage-based pricing environment. • MBA degree is a plus. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
11/14/2026
Full time
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities Confluent's Cloud Networking team is responsible for making connectivity to and from Confluent Cloud reliable, scalable, secure, cost-efficient, and simple to use - across Kafka, Flink, Connectors, Data Governance, and Tableflow, on AWS, Azure, and GCP. As Staff PM for Cloud Networking, you will own the platform strategy for how enterprises connect to Confluent Cloud. This is not a feature-level role - you will define the architecture of our networking product surface across all clouds and connection models, set the multi-year roadmap, and operate as a co-decision-maker alongside engineering leadership on the technical direction of the platform. You will work across all networking connection types - PrivateLink, VNet peering, Transit Gateway, Private Service Connect, and egress optimization - and drive alignment across engineering, field, and executive stakeholders on what we build and why. What You Will Do: • Own the platform strategy for Confluent Cloud Networking across AWS, Azure, and GCP, defining the north star, multi-year roadmap, and sequencing of bets that balance customer connectivity needs, cost efficiency, security posture, and engineering leverage. • Define frameworks and standards that other PMs, designers, and engineers use to evaluate networking decisions, including connection model selection criteria, cost attribution models, security control frameworks, and launch readiness standards. • Drive architectural decisions in partnership with engineering leadership, weighing trade-offs between user experience, cost, and operational complexity. • Expand scope and create optionality by identifying adjacent areas the team should move into, such as network observability, cost transparency tooling, and next-generation isolation models, and building the business case for investment. • Develop the product team by mentoring Senior PMs, providing feedback on product documents and roadmap thinking, and raising the bar on customer research and decision-making. • Build senior stakeholder alignment across product, engineering, sales, field, legal, and security organizations, then present the platform vision to executive leadership to secure organizational investment. Develop compelling business cases, clearly communicate trade-offs, and earn commitment for multi-year platform bets. • Define and own success metrics at the platform level, connecting technical milestones to business outcomes including revenue, retention, attach rates, and infrastructure cost efficiency. • Engage directly with strategic customers and prospects, representing the product roadmap with credibility in technical conversations with enterprise CTOs, architects, and network engineers. Required Skills • 8+ years of product management experience, with at least 3 years owning a cloud infrastructure, platform, or networking product. • Demonstrated track record of setting product strategy and roadmap at a platform or portfolio level, not just feature-level delivery. • Deep fluency in cloud networking concepts, including PrivateLink, VNet peering, Transit Gateway, Private Service Connect, DNS, security groups, CIDR/IP management, and the trade-offs across AWS, Azure, and GCP. • Experience owning products that serve enterprise customers with complex compliance, security, and connectivity requirements. • Proven ability to partner with engineering leadership as a co-decision-maker on architectural direction, rather than simply translating engineering output. • Strong analytical foundation with the ability to model unit economics, build business cases with cost and risk sensitivity, and measure platform health through leading and lagging indicators. • Practices AI-native product management by using AI tools as a true thought partner throughout the product lifecycle, including research, prioritization, specification writing, and analytics. Demonstrates sound judgment on when to use, override, and validate AI-generated outputs, while also designing products, features, and APIs that are composable, observable, and easy for AI agents and automation to consume. • Experience developing Product Managers and raising the bar on product thinking through direct mentorship, feedback, and team processes. Preferred Skills • Experience with Envoy, Service Mesh, DNS, and Kubernetes networking. • Familiarity with Terraform, API-first development, infrastructure-as-code workflows, and the networking automation practices used by enterprise engineering teams. • Exposure to network traffic metering, data transfer billing attribution, cost transparency tooling, or pricing and packaging strategy for cloud infrastructure products, including defining packaging tiers, price points, and commercial models for enterprise buyers. • Experience operating in a product-led growth (PLG) or usage-based pricing environment. • MBA degree is a plus. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities Confluent's Cloud Networking team is responsible for making connectivity to and from Confluent Cloud reliable, scalable, secure, cost-efficient, and simple to use - across Kafka, Flink, Connectors, Data Governance, and Tableflow, on AWS, Azure, and GCP. As Staff PM for Cloud Networking, you will own the platform strategy for how enterprises connect to Confluent Cloud. This is not a feature-level role - you will define the architecture of our networking product surface across all clouds and connection models, set the multi-year roadmap, and operate as a co-decision-maker alongside engineering leadership on the technical direction of the platform. You will work across all networking connection types - PrivateLink, VNet peering, Transit Gateway, Private Service Connect, and egress optimization - and drive alignment across engineering, field, and executive stakeholders on what we build and why. What You Will Do: • Own the platform strategy for Confluent Cloud Networking across AWS, Azure, and GCP, defining the north star, multi-year roadmap, and sequencing of bets that balance customer connectivity needs, cost efficiency, security posture, and engineering leverage. • Define frameworks and standards that other PMs, designers, and engineers use to evaluate networking decisions, including connection model selection criteria, cost attribution models, security control frameworks, and launch readiness standards. • Drive architectural decisions in partnership with engineering leadership, weighing trade-offs between user experience, cost, and operational complexity. • Expand scope and create optionality by identifying adjacent areas the team should move into, such as network observability, cost transparency tooling, and next-generation isolation models, and building the business case for investment. • Develop the product team by mentoring Senior PMs, providing feedback on product documents and roadmap thinking, and raising the bar on customer research and decision-making. • Build senior stakeholder alignment across product, engineering, sales, field, legal, and security organizations, then present the platform vision to executive leadership to secure organizational investment. Develop compelling business cases, clearly communicate trade-offs, and earn commitment for multi-year platform bets. • Define and own success metrics at the platform level, connecting technical milestones to business outcomes including revenue, retention, attach rates, and infrastructure cost efficiency. • Engage directly with strategic customers and prospects, representing the product roadmap with credibility in technical conversations with enterprise CTOs, architects, and network engineers. Required Skills • 8+ years of product management experience, with at least 3 years owning a cloud infrastructure, platform, or networking product. • Demonstrated track record of setting product strategy and roadmap at a platform or portfolio level, not just feature-level delivery. • Deep fluency in cloud networking concepts, including PrivateLink, VNet peering, Transit Gateway, Private Service Connect, DNS, security groups, CIDR/IP management, and the trade-offs across AWS, Azure, and GCP. • Experience owning products that serve enterprise customers with complex compliance, security, and connectivity requirements. • Proven ability to partner with engineering leadership as a co-decision-maker on architectural direction, rather than simply translating engineering output. • Strong analytical foundation with the ability to model unit economics, build business cases with cost and risk sensitivity, and measure platform health through leading and lagging indicators. • Practices AI-native product management by using AI tools as a true thought partner throughout the product lifecycle, including research, prioritization, specification writing, and analytics. Demonstrates sound judgment on when to use, override, and validate AI-generated outputs, while also designing products, features, and APIs that are composable, observable, and easy for AI agents and automation to consume. • Experience developing Product Managers and raising the bar on product thinking through direct mentorship, feedback, and team processes. Preferred Skills • Experience with Envoy, Service Mesh, DNS, and Kubernetes networking. • Familiarity with Terraform, API-first development, infrastructure-as-code workflows, and the networking automation practices used by enterprise engineering teams. • Exposure to network traffic metering, data transfer billing attribution, cost transparency tooling, or pricing and packaging strategy for cloud infrastructure products, including defining packaging tiers, price points, and commercial models for enterprise buyers. • Experience operating in a product-led growth (PLG) or usage-based pricing environment. • MBA degree is a plus. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
11/14/2026
Full time
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities Confluent's Cloud Networking team is responsible for making connectivity to and from Confluent Cloud reliable, scalable, secure, cost-efficient, and simple to use - across Kafka, Flink, Connectors, Data Governance, and Tableflow, on AWS, Azure, and GCP. As Staff PM for Cloud Networking, you will own the platform strategy for how enterprises connect to Confluent Cloud. This is not a feature-level role - you will define the architecture of our networking product surface across all clouds and connection models, set the multi-year roadmap, and operate as a co-decision-maker alongside engineering leadership on the technical direction of the platform. You will work across all networking connection types - PrivateLink, VNet peering, Transit Gateway, Private Service Connect, and egress optimization - and drive alignment across engineering, field, and executive stakeholders on what we build and why. What You Will Do: • Own the platform strategy for Confluent Cloud Networking across AWS, Azure, and GCP, defining the north star, multi-year roadmap, and sequencing of bets that balance customer connectivity needs, cost efficiency, security posture, and engineering leverage. • Define frameworks and standards that other PMs, designers, and engineers use to evaluate networking decisions, including connection model selection criteria, cost attribution models, security control frameworks, and launch readiness standards. • Drive architectural decisions in partnership with engineering leadership, weighing trade-offs between user experience, cost, and operational complexity. • Expand scope and create optionality by identifying adjacent areas the team should move into, such as network observability, cost transparency tooling, and next-generation isolation models, and building the business case for investment. • Develop the product team by mentoring Senior PMs, providing feedback on product documents and roadmap thinking, and raising the bar on customer research and decision-making. • Build senior stakeholder alignment across product, engineering, sales, field, legal, and security organizations, then present the platform vision to executive leadership to secure organizational investment. Develop compelling business cases, clearly communicate trade-offs, and earn commitment for multi-year platform bets. • Define and own success metrics at the platform level, connecting technical milestones to business outcomes including revenue, retention, attach rates, and infrastructure cost efficiency. • Engage directly with strategic customers and prospects, representing the product roadmap with credibility in technical conversations with enterprise CTOs, architects, and network engineers. Required Skills • 8+ years of product management experience, with at least 3 years owning a cloud infrastructure, platform, or networking product. • Demonstrated track record of setting product strategy and roadmap at a platform or portfolio level, not just feature-level delivery. • Deep fluency in cloud networking concepts, including PrivateLink, VNet peering, Transit Gateway, Private Service Connect, DNS, security groups, CIDR/IP management, and the trade-offs across AWS, Azure, and GCP. • Experience owning products that serve enterprise customers with complex compliance, security, and connectivity requirements. • Proven ability to partner with engineering leadership as a co-decision-maker on architectural direction, rather than simply translating engineering output. • Strong analytical foundation with the ability to model unit economics, build business cases with cost and risk sensitivity, and measure platform health through leading and lagging indicators. • Practices AI-native product management by using AI tools as a true thought partner throughout the product lifecycle, including research, prioritization, specification writing, and analytics. Demonstrates sound judgment on when to use, override, and validate AI-generated outputs, while also designing products, features, and APIs that are composable, observable, and easy for AI agents and automation to consume. • Experience developing Product Managers and raising the bar on product thinking through direct mentorship, feedback, and team processes. Preferred Skills • Experience with Envoy, Service Mesh, DNS, and Kubernetes networking. • Familiarity with Terraform, API-first development, infrastructure-as-code workflows, and the networking automation practices used by enterprise engineering teams. • Exposure to network traffic metering, data transfer billing attribution, cost transparency tooling, or pricing and packaging strategy for cloud infrastructure products, including defining packaging tiers, price points, and commercial models for enterprise buyers. • Experience operating in a product-led growth (PLG) or usage-based pricing environment. • MBA degree is a plus. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
Modern Endpoint Management Architect, implement, and optimize Microsoft Intune and MECM solutions to manage Western Digital's global fleet of Windows endpoints. Translate existing Group Policy Objects (GPOs) into scalable, cloud-native Intune configuration and compliance policies. Windows Deployment & Lifecycle Oversee deployment and maintenance of Windows 10/11 images using Autopilot, ensuring zero-touch provisioning for global users. Define lifecycle standards for endpoint hardware and software in collaboration with Global IT leadership. Application & Patch Management Automate deployment of applications, patches, and drivers across endpoints to ensure enterprise-wide consistency. Design, implement, and support 3rd-party patching leveraging solutions such as PatchMyPC. Administer software distribution, desktop security, firmware updates, and remote support tools to support endpoint efficiency. Define servicing plans that keep clients current while balancing stability, security, and business requirements. Security & Compliance Implement security baselines and Defender for Endpoint policies to safeguard devices against threats. Ensure compliance with Western Digital's global security frameworks, IT controls, and regulatory requirements. Automation & Scripting Develop and maintain PowerShell scripts to automate endpoint management, reporting, and system administration. Leverage scripting for remediation tasks, user provisioning, and compliance enforcement. Escalation & Troubleshooting Serve as Tier 3 escalation point for complex Operating System (OS), application, and endpoint hardware issues. Partner with IT Service Desk, Deskside Support, and regional IT teams to rapidly resolve issues and improve root-cause analysis. Cross-Functional Collaboration Work with Security, Networking, and Cloud teams to align endpoint strategy with Western Digital's enterprise architecture. Participate in architectural discussions, cross-functional infrastructure projects, and digital workplace initiatives. User Experience & Documentation Improve user productivity by ensuring frictionless onboarding, provisioning, and device management. Create and maintain technical documentation, standard operating procedures (SOPs), and training material for the Endpoint team. Continuous Improvement Drive a continual service improvement culture, leveraging R&D, validation, and pilot programs to modernize endpoint services. Support the enterprise-wide rollout of Windows 11 and future endpoint innovation programs, such as the rollout of Digital Experience Monitoring (DEX) solutions.
11/13/2026
Full time
Modern Endpoint Management Architect, implement, and optimize Microsoft Intune and MECM solutions to manage Western Digital's global fleet of Windows endpoints. Translate existing Group Policy Objects (GPOs) into scalable, cloud-native Intune configuration and compliance policies. Windows Deployment & Lifecycle Oversee deployment and maintenance of Windows 10/11 images using Autopilot, ensuring zero-touch provisioning for global users. Define lifecycle standards for endpoint hardware and software in collaboration with Global IT leadership. Application & Patch Management Automate deployment of applications, patches, and drivers across endpoints to ensure enterprise-wide consistency. Design, implement, and support 3rd-party patching leveraging solutions such as PatchMyPC. Administer software distribution, desktop security, firmware updates, and remote support tools to support endpoint efficiency. Define servicing plans that keep clients current while balancing stability, security, and business requirements. Security & Compliance Implement security baselines and Defender for Endpoint policies to safeguard devices against threats. Ensure compliance with Western Digital's global security frameworks, IT controls, and regulatory requirements. Automation & Scripting Develop and maintain PowerShell scripts to automate endpoint management, reporting, and system administration. Leverage scripting for remediation tasks, user provisioning, and compliance enforcement. Escalation & Troubleshooting Serve as Tier 3 escalation point for complex Operating System (OS), application, and endpoint hardware issues. Partner with IT Service Desk, Deskside Support, and regional IT teams to rapidly resolve issues and improve root-cause analysis. Cross-Functional Collaboration Work with Security, Networking, and Cloud teams to align endpoint strategy with Western Digital's enterprise architecture. Participate in architectural discussions, cross-functional infrastructure projects, and digital workplace initiatives. User Experience & Documentation Improve user productivity by ensuring frictionless onboarding, provisioning, and device management. Create and maintain technical documentation, standard operating procedures (SOPs), and training material for the Endpoint team. Continuous Improvement Drive a continual service improvement culture, leveraging R&D, validation, and pilot programs to modernize endpoint services. Support the enterprise-wide rollout of Windows 11 and future endpoint innovation programs, such as the rollout of Digital Experience Monitoring (DEX) solutions.
Job Description Job Description Pay Rate Range: $ 53.03 - 63.63/hr. Job Title: System Engineer Job Description: Develop and maintain the system architectural design for Lithium-Ion Battery Systems, Super Capacitor Modules (SCAP), and Battery Management Systems (Client) based on approved system requirements. Define system elements, subsystems, logical and physical architecture, interfaces, communication topology, operational modes, and allocation of requirements to hardware, software, mechanical, diagnostics, functional safety, and cybersecurity domains. Establish and document system decomposition including battery pack, battery module, cell monitoring units, Client controller, contactor system, sensing elements, thermal management system, and Super Capacitor integration. Define internal and external interfaces, interface control specifications, and system interaction models. Perform architectural trade-off studies, feasibility assessments, and technology evaluations to support product development decisions. Ensure architectural consistency, scalability, reuse, and compliance with customer requirements, regulatory standards, and organizational guidelines. Maintain bidirectional traceability between system requirements and architectural elements. Collaborate with software, hardware, validation, functional safety, cybersecurity, and mechanical engineering teams to ensure complete and effective allocation of system requirements. Conduct architecture reviews, impact assessments, and change management activities. Ensure Automotive SPICE SYS.3 compliant work products, reviews, baselines, and configuration management for all system architectural deliverables. Essential Skills : Strong expertise in automotive system architecture development and system decomposition. In-depth knowledge of Lithium-Ion Battery Systems, Super Capacitor Modules, and Battery Management System (Client) architecture. Experience defining system elements, interfaces, communication networks, functional allocation, and requirement allocation to hardware and software. Strong understanding of battery functions including SOC, SOH, SOP, cell balancing, thermal management, contactor control, diagnostics, fault handling, charging/discharging management, and power distribution. Hands-on experience with ASPICE SYS.3 process area, architecture modeling, architectural analysis, and design reviews. Strong understanding of requirement traceability, system integration considerations, and architecture governance. Excellent analytical, problem-solving, and cross-functional collaboration skills. Desirable Skills: Knowledge of ISO 26262 Functional Safety architecture concepts including safety mechanisms, safety-related allocation, and technical safety concept integration. Exposure to ISO/SAE 21434 cybersecurity architecture and secure system design principles. Experience with low-voltage (12V/24V/48V) and high-voltage battery systems. Exposure to Sodium-Ion battery technologies, hybrid energy storage systems, and Super Capacitor applications. Familiarity with AUTOSAR architecture, Model-Based Systems Engineering (MBSE), and electrification programs for automotive OEMs and Tier-1 suppliers. Keyword: ASPICE SYS.3, System Architectural Design, System Architecture, Client Architecture, Battery Management System, Lithium-Ion Battery, Li-Ion, Super Capacitor, SCAP, Energy Storage System, System Decomposition, Interface Design, Requirement Allocation, Functional Allocation, Hardware Software Partitioning, Logical Architecture, Physical Architecture, SysML, UML, MBSE, AUTOSAR, Functional Safety, Cybersecurity. Skills: : Systems Engineering, Cameo, Client, Li-Ion, Super Capacitors, Na-Ion Experience Required: 6 Years (Minimum 4 years of experience in Automotive System Architecture, Battery Management Systems, Lithium-Ion Battery Systems, Super Capacitor Systems, or Energy Storage Products) Skills : EIS - Model Based Systems Engineering Experience Required: 4-6 years Skills:CategoryNameRequiredImportanceExperienceSkillCategoryTest1_MNEIS - Model Based Systems EngineeringYes1>7 years
11/13/2026
Full time
Job Description Job Description Pay Rate Range: $ 53.03 - 63.63/hr. Job Title: System Engineer Job Description: Develop and maintain the system architectural design for Lithium-Ion Battery Systems, Super Capacitor Modules (SCAP), and Battery Management Systems (Client) based on approved system requirements. Define system elements, subsystems, logical and physical architecture, interfaces, communication topology, operational modes, and allocation of requirements to hardware, software, mechanical, diagnostics, functional safety, and cybersecurity domains. Establish and document system decomposition including battery pack, battery module, cell monitoring units, Client controller, contactor system, sensing elements, thermal management system, and Super Capacitor integration. Define internal and external interfaces, interface control specifications, and system interaction models. Perform architectural trade-off studies, feasibility assessments, and technology evaluations to support product development decisions. Ensure architectural consistency, scalability, reuse, and compliance with customer requirements, regulatory standards, and organizational guidelines. Maintain bidirectional traceability between system requirements and architectural elements. Collaborate with software, hardware, validation, functional safety, cybersecurity, and mechanical engineering teams to ensure complete and effective allocation of system requirements. Conduct architecture reviews, impact assessments, and change management activities. Ensure Automotive SPICE SYS.3 compliant work products, reviews, baselines, and configuration management for all system architectural deliverables. Essential Skills : Strong expertise in automotive system architecture development and system decomposition. In-depth knowledge of Lithium-Ion Battery Systems, Super Capacitor Modules, and Battery Management System (Client) architecture. Experience defining system elements, interfaces, communication networks, functional allocation, and requirement allocation to hardware and software. Strong understanding of battery functions including SOC, SOH, SOP, cell balancing, thermal management, contactor control, diagnostics, fault handling, charging/discharging management, and power distribution. Hands-on experience with ASPICE SYS.3 process area, architecture modeling, architectural analysis, and design reviews. Strong understanding of requirement traceability, system integration considerations, and architecture governance. Excellent analytical, problem-solving, and cross-functional collaboration skills. Desirable Skills: Knowledge of ISO 26262 Functional Safety architecture concepts including safety mechanisms, safety-related allocation, and technical safety concept integration. Exposure to ISO/SAE 21434 cybersecurity architecture and secure system design principles. Experience with low-voltage (12V/24V/48V) and high-voltage battery systems. Exposure to Sodium-Ion battery technologies, hybrid energy storage systems, and Super Capacitor applications. Familiarity with AUTOSAR architecture, Model-Based Systems Engineering (MBSE), and electrification programs for automotive OEMs and Tier-1 suppliers. Keyword: ASPICE SYS.3, System Architectural Design, System Architecture, Client Architecture, Battery Management System, Lithium-Ion Battery, Li-Ion, Super Capacitor, SCAP, Energy Storage System, System Decomposition, Interface Design, Requirement Allocation, Functional Allocation, Hardware Software Partitioning, Logical Architecture, Physical Architecture, SysML, UML, MBSE, AUTOSAR, Functional Safety, Cybersecurity. Skills: : Systems Engineering, Cameo, Client, Li-Ion, Super Capacitors, Na-Ion Experience Required: 6 Years (Minimum 4 years of experience in Automotive System Architecture, Battery Management Systems, Lithium-Ion Battery Systems, Super Capacitor Systems, or Energy Storage Products) Skills : EIS - Model Based Systems Engineering Experience Required: 4-6 years Skills:CategoryNameRequiredImportanceExperienceSkillCategoryTest1_MNEIS - Model Based Systems EngineeringYes1>7 years
Job Description Job Description Peak Systems is a preferred provider of cutting-edge data center solutions, delivering reliable and scalable infrastructure to support our clients' critical operations. We are seeking skilled Data Center Technicians to join our team and ensure seamless server deployments. As a Data Center Technician , you will be responsible for performing on-site server rack roll-ins, cable management, transceiver installation, and related tasks to obtain optimal data center operations. This role requires a detail-oriented individual with hands-on technical skills and a commitment to safety and efficiency. Location: Rock Island IL 61201 Start Date: TBD Shift: 8:00 AM start (8-10 hour days) Pay: $30+/hour (based on experience) Responsibilities: Server Rack Roll-In : Safely transport, install, and secure server racks in designated data center locations, ensuring proper alignment and stability. Cable Management : Organize, route, and label data and power cables to maintain a clean, efficient, and safe environment, adhering to industry standards. Transceiver Installation : Install, test, and troubleshoot optical transceivers to ensure reliable network connectivity. Equipment Setup : Assist in the installation and configuration of servers, networking equipment, and related hardware. Documentation : Maintain accurate records of installations, cabling layouts, labeling, and inventory. Safety Compliance : Adhere to data center safety protocols, including proper handling of equipment and use of personal protective equipment (PPE). Collaboration : Work closely with data center engineers, facilities teams, and vendors to support operational goals. Qualifications: Experience : 2-3+ years of experience in data center operations, IT hardware installation, or a related technical role. Technical Skills : Proficiency in server rack installation, cable management, and transceiver installation techniques. Familiarity with data center infrastructure, including power distribution and cooling systems. Knowledge of networking concepts (e.g., Ethernet, fiber optics, and transceiver compatibility). Physical Requirements : Ability to lift and move heavy equipment (up to 50 lbs) and work in confined spaces. Comfortable standing, bending, and reaching for extended periods. Soft Skills : Strong attention to detail and organizational skills. Excellent problem-solving and communication abilities. Ability to work independently and in a team environment. Certifications (Preferred): CompTIA Server+, Data Center Technician, or equivalent. OSHA 10 or similar safety training. Availability : Willingness to work flexible hours, including nights, weekends, or on-call shifts as needed. Join our team and be a key player in building and maintaining cutting-edge IT infrastructure! Company Description For over 30 years, we've helped technology professionals build strong, rewarding careers by offering exposure to Fortune 500 clients and top-tier projects. Whether you're looking to expand your experience in data centers, AI infrastructure, field services, project management, or enterprise IT, we can connect you with exciting opportunities that help you build your career, develop new skills, and work on cutting-edge technology deployments. Company Description For over 30 years, we've helped technology professionals build strong, rewarding careers by offering exposure to Fortune 500 clients and top-tier projects. Whether you're looking to expand your experience in data centers, AI infrastructure, field services, project management, or enterprise IT, we can connect you with exciting opportunities that help you build your career, develop new skills, and work on cutting-edge technology deployments.
11/13/2026
Full time
Job Description Job Description Peak Systems is a preferred provider of cutting-edge data center solutions, delivering reliable and scalable infrastructure to support our clients' critical operations. We are seeking skilled Data Center Technicians to join our team and ensure seamless server deployments. As a Data Center Technician , you will be responsible for performing on-site server rack roll-ins, cable management, transceiver installation, and related tasks to obtain optimal data center operations. This role requires a detail-oriented individual with hands-on technical skills and a commitment to safety and efficiency. Location: Rock Island IL 61201 Start Date: TBD Shift: 8:00 AM start (8-10 hour days) Pay: $30+/hour (based on experience) Responsibilities: Server Rack Roll-In : Safely transport, install, and secure server racks in designated data center locations, ensuring proper alignment and stability. Cable Management : Organize, route, and label data and power cables to maintain a clean, efficient, and safe environment, adhering to industry standards. Transceiver Installation : Install, test, and troubleshoot optical transceivers to ensure reliable network connectivity. Equipment Setup : Assist in the installation and configuration of servers, networking equipment, and related hardware. Documentation : Maintain accurate records of installations, cabling layouts, labeling, and inventory. Safety Compliance : Adhere to data center safety protocols, including proper handling of equipment and use of personal protective equipment (PPE). Collaboration : Work closely with data center engineers, facilities teams, and vendors to support operational goals. Qualifications: Experience : 2-3+ years of experience in data center operations, IT hardware installation, or a related technical role. Technical Skills : Proficiency in server rack installation, cable management, and transceiver installation techniques. Familiarity with data center infrastructure, including power distribution and cooling systems. Knowledge of networking concepts (e.g., Ethernet, fiber optics, and transceiver compatibility). Physical Requirements : Ability to lift and move heavy equipment (up to 50 lbs) and work in confined spaces. Comfortable standing, bending, and reaching for extended periods. Soft Skills : Strong attention to detail and organizational skills. Excellent problem-solving and communication abilities. Ability to work independently and in a team environment. Certifications (Preferred): CompTIA Server+, Data Center Technician, or equivalent. OSHA 10 or similar safety training. Availability : Willingness to work flexible hours, including nights, weekends, or on-call shifts as needed. Join our team and be a key player in building and maintaining cutting-edge IT infrastructure! Company Description For over 30 years, we've helped technology professionals build strong, rewarding careers by offering exposure to Fortune 500 clients and top-tier projects. Whether you're looking to expand your experience in data centers, AI infrastructure, field services, project management, or enterprise IT, we can connect you with exciting opportunities that help you build your career, develop new skills, and work on cutting-edge technology deployments. Company Description For over 30 years, we've helped technology professionals build strong, rewarding careers by offering exposure to Fortune 500 clients and top-tier projects. Whether you're looking to expand your experience in data centers, AI infrastructure, field services, project management, or enterprise IT, we can connect you with exciting opportunities that help you build your career, develop new skills, and work on cutting-edge technology deployments.
Applied Researcher 5 At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. What You'll Do: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies; Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more, to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms Has a deep understanding of the foundations of AI methodologies Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes Experience in delivering libraries, platform level code or solution level code to existing products A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, High Performance Computing, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on Generative AI (LLMs, Diffusion models and related approaches) or Masters with 5 years of industrial research experience in deep learning based techniques Multiple publications at top-tier venues (e.g., KDD, SIGIR, RecSys, NeurIPS, ICLR) on topics related to generative recommendation, retrieval-augmented generation (RAG), LLM-based agents, or large-scale semantic search Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Behavioral Models PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR Experience training foundation models from scratch or significantly adapting large-scale models (10B+ parameters) for complex financial data, transactional sequences, or user behavior graphs Track record of scaling graph models to greater than 50M nodes and operating within high-velocity, real-time streaming data environments Contributions to common open source frameworks (pytorch-geometric, DGL) Proposed new methods for inference or representation learning on graphs or sequences Worked datasets with 100m+ users Optimization (Training & Inference) Multiple years of experience or publications focused on model sparsification, quantization, training parallelism/partitioning design, or gradient checkpointing for 10B+ parameter models Hands-on experience with large-scale orchestration systems (Kubernetes, KubeRay) and contributions to common open-source ML frameworks (PyTorch-Geometric, DGL, HuggingFace) Experience building and deploying deep learning-based recommender systems at scale (100M+ users or items), ideally within travel, personalization, or e-commerce contexts Finetuning PhD focused on topics related to aligning Large Language Models for recommendation and search tasks via Supervised Fine-Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF), or Direct Preference Optimization (DPO) Experience deploying a fine-tuned large language model optimized for serving performance Proven ability to design and lead small-scale research initiatives, guiding junior researchers or engineers through experimental design and evaluation Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher 5 McLean, VA: $262,500 - $299,600 for Applied Researcher 5 New York, NY: $286,400 - $326,800 for Applied Researcher 5 San Francisco, CA: $286,400 - $326,800 for Applied Researcher 5 San Jose, CA: $286,400 - $326,800 for Applied Researcher 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including . click apply for full job details
11/13/2026
Full time
Applied Researcher 5 At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. What You'll Do: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies; Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more, to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms Has a deep understanding of the foundations of AI methodologies Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes Experience in delivering libraries, platform level code or solution level code to existing products A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, High Performance Computing, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on Generative AI (LLMs, Diffusion models and related approaches) or Masters with 5 years of industrial research experience in deep learning based techniques Multiple publications at top-tier venues (e.g., KDD, SIGIR, RecSys, NeurIPS, ICLR) on topics related to generative recommendation, retrieval-augmented generation (RAG), LLM-based agents, or large-scale semantic search Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Behavioral Models PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR Experience training foundation models from scratch or significantly adapting large-scale models (10B+ parameters) for complex financial data, transactional sequences, or user behavior graphs Track record of scaling graph models to greater than 50M nodes and operating within high-velocity, real-time streaming data environments Contributions to common open source frameworks (pytorch-geometric, DGL) Proposed new methods for inference or representation learning on graphs or sequences Worked datasets with 100m+ users Optimization (Training & Inference) Multiple years of experience or publications focused on model sparsification, quantization, training parallelism/partitioning design, or gradient checkpointing for 10B+ parameter models Hands-on experience with large-scale orchestration systems (Kubernetes, KubeRay) and contributions to common open-source ML frameworks (PyTorch-Geometric, DGL, HuggingFace) Experience building and deploying deep learning-based recommender systems at scale (100M+ users or items), ideally within travel, personalization, or e-commerce contexts Finetuning PhD focused on topics related to aligning Large Language Models for recommendation and search tasks via Supervised Fine-Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF), or Direct Preference Optimization (DPO) Experience deploying a fine-tuned large language model optimized for serving performance Proven ability to design and lead small-scale research initiatives, guiding junior researchers or engineers through experimental design and evaluation Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher 5 McLean, VA: $262,500 - $299,600 for Applied Researcher 5 New York, NY: $286,400 - $326,800 for Applied Researcher 5 San Francisco, CA: $286,400 - $326,800 for Applied Researcher 5 San Jose, CA: $286,400 - $326,800 for Applied Researcher 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including . click apply for full job details
Applied Researcher 5 At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. What You'll Do: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies; Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more, to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms Has a deep understanding of the foundations of AI methodologies Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes Experience in delivering libraries, platform level code or solution level code to existing products A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, High Performance Computing, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on Generative AI (LLMs, Diffusion models and related approaches) or Masters with 5 years of industrial research experience in deep learning based techniques Multiple publications at top-tier venues (e.g., KDD, SIGIR, RecSys, NeurIPS, ICLR) on topics related to generative recommendation, retrieval-augmented generation (RAG), LLM-based agents, or large-scale semantic search Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Behavioral Models PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR Experience training foundation models from scratch or significantly adapting large-scale models (10B+ parameters) for complex financial data, transactional sequences, or user behavior graphs Track record of scaling graph models to greater than 50M nodes and operating within high-velocity, real-time streaming data environments Contributions to common open source frameworks (pytorch-geometric, DGL) Proposed new methods for inference or representation learning on graphs or sequences Worked datasets with 100m+ users Optimization (Training & Inference) Multiple years of experience or publications focused on model sparsification, quantization, training parallelism/partitioning design, or gradient checkpointing for 10B+ parameter models Hands-on experience with large-scale orchestration systems (Kubernetes, KubeRay) and contributions to common open-source ML frameworks (PyTorch-Geometric, DGL, HuggingFace) Experience building and deploying deep learning-based recommender systems at scale (100M+ users or items), ideally within travel, personalization, or e-commerce contexts Finetuning PhD focused on topics related to aligning Large Language Models for recommendation and search tasks via Supervised Fine-Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF), or Direct Preference Optimization (DPO) Experience deploying a fine-tuned large language model optimized for serving performance Proven ability to design and lead small-scale research initiatives, guiding junior researchers or engineers through experimental design and evaluation Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher 5 McLean, VA: $262,500 - $299,600 for Applied Researcher 5 New York, NY: $286,400 - $326,800 for Applied Researcher 5 San Francisco, CA: $286,400 - $326,800 for Applied Researcher 5 San Jose, CA: $286,400 - $326,800 for Applied Researcher 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including . click apply for full job details
11/13/2026
Full time
Applied Researcher 5 At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. What You'll Do: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies; Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more, to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms Has a deep understanding of the foundations of AI methodologies Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes Experience in delivering libraries, platform level code or solution level code to existing products A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, High Performance Computing, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on Generative AI (LLMs, Diffusion models and related approaches) or Masters with 5 years of industrial research experience in deep learning based techniques Multiple publications at top-tier venues (e.g., KDD, SIGIR, RecSys, NeurIPS, ICLR) on topics related to generative recommendation, retrieval-augmented generation (RAG), LLM-based agents, or large-scale semantic search Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Behavioral Models PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR Experience training foundation models from scratch or significantly adapting large-scale models (10B+ parameters) for complex financial data, transactional sequences, or user behavior graphs Track record of scaling graph models to greater than 50M nodes and operating within high-velocity, real-time streaming data environments Contributions to common open source frameworks (pytorch-geometric, DGL) Proposed new methods for inference or representation learning on graphs or sequences Worked datasets with 100m+ users Optimization (Training & Inference) Multiple years of experience or publications focused on model sparsification, quantization, training parallelism/partitioning design, or gradient checkpointing for 10B+ parameter models Hands-on experience with large-scale orchestration systems (Kubernetes, KubeRay) and contributions to common open-source ML frameworks (PyTorch-Geometric, DGL, HuggingFace) Experience building and deploying deep learning-based recommender systems at scale (100M+ users or items), ideally within travel, personalization, or e-commerce contexts Finetuning PhD focused on topics related to aligning Large Language Models for recommendation and search tasks via Supervised Fine-Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF), or Direct Preference Optimization (DPO) Experience deploying a fine-tuned large language model optimized for serving performance Proven ability to design and lead small-scale research initiatives, guiding junior researchers or engineers through experimental design and evaluation Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher 5 McLean, VA: $262,500 - $299,600 for Applied Researcher 5 New York, NY: $286,400 - $326,800 for Applied Researcher 5 San Francisco, CA: $286,400 - $326,800 for Applied Researcher 5 San Jose, CA: $286,400 - $326,800 for Applied Researcher 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including . click apply for full job details
Job Description Job Description Fiber and Copper I&R Telecommunication Tech Skill Requirements Experience in telephone service Experience in CATV installations. Knowledge of Coax cable sizes and types. Experience with test sets Experience routers and home networking. Technical understanding of loss, attenuation, and tiling. Working within attics and crawl spaces. Computer skills Maintains/repairs and tests copper cable in an underground, aerial, or buried environment. Troubleshoots problems that will require copper repair, copper maintenance, copper slicing, faultfinding, etc. Splice existing facilities in buried, underground, aerial and building work locations. Uses hand tools, power tools, and specialty tools, including specialty meters (e.g., multi-meters, volt-ohm meters, HST-3000, Sidekick), in inside and outside plant facilities. Performs testing and turn-up of subscriber lines. Locates and repairs aerial and underground cable. Locates, joins, repairs and rearranges cable and cable equipment in buildings and aerial or buried plant. Installs, maintains/repairs, and tests residential/small business telecommunication service (POTS, Prism, Fiber and DSL). Connects wires and cables to terminals, frames, and attaches/detaches various kinds of hardware to wires, cables, buildings, and poles. Performs continuity and/or conformance testing. Reads and interprets customer service orders, technical (i.e., mechanical, electrical, digital) drawings, maps, blueprints, diagrams, etc. Receives service orders, worksheets (detailed diagrams describing nature and location of equipment to be installed or repaired) and repair tickets from supervisor or other designated employees and performs specified work. Works with telecom color-coded wires and cables. Interacts with customers professionally and courteously via telephone or on the premises. Works well with others to achieve common goals and to foster a cooperative climate, as well as work independently in the field with little supervision. Summary Responsible for tasks assigned by the Company in connection with service order and repair activity on fiber network facilities between and including the customer-serving terminal and into the customer's premise, as well as installation activity at the fiber hub. These tasks may include, but not be limited to, installation and maintenance of voice, data and video equipment and/or service at the customer premise. In addition to providing revenue enhancing offers to the customer. Performs other duties as required.General DutiesDuties include, but are not limited to, the following: Installs, removes, rearranges, programs, tests, troubleshoots and maintains fiber network services. Installs and configures routers, set top boxes. Interacts with Advanced Technical Services as needed. May install appropriate inside wire/cable (such as Cat 5E, Coaxial cable).C. Installs maintains and repairs outside and inside fiber equipment/facilities including inside wiring and fiber jumpers at the distribution hub. Activates the ONT, STB and router at customer premise. Interfaces with customer to negotiate the placement of equipment. Trains the customer on how to use the new equipment. Ensures the customer is satisfied with the work that has been done. Responds to inquires and provides follow-up. Interprets schematic work order drawings to determine job specifications and installation needs. Orders and/or obtains required equipment. Effects problem solving where appropriate. Utilizes various test equipment to analyze equipment trouble and takes appropriate maintenance action. May be required to perform additional duties and tasks as required by the Company. Basic QualificationsA. Tests - Results obtained in standard tests for this position must meet minimum requirements established by the Company, in accordance with Company policy. Must meet ADEX/Frontier's standards of professionalism in communications and appearance. Must wear ADEX/Frontier branded attire. Wears appropriate safety apparel and is aware of and follows all established safety practices and procedures. Ability to identify and distinguish audible tones/levels and colors. Ability to work in confined areas. Ability to lift and carry tool boxes, drop wire, parts containers and installation loads, test equipment, etc. Ability to work aloft. In some areas, pole climbing may not be a requirement; for locations where pole climbing is required, a candidate must meet the course qualification standard. Ability to lift, carry, set-up, climb and take down ladders. Ability to communicate naturally and pleasantly over the telephone. Ability to professionally communicate extensively in person during in-home installation. Requires alertness and attention to detail. Ability to work under stress. A valid driver's license. Able to read and interpret architectural, electrical wiring diagrams. Able to operate applicable test equipment.P. Must be available to workas scheduled including weekends and holidays and for callouts and/or overtime as required. One year of experience in one or a combination of: Cable Splicer, Customer Engineer-Data Application, Customer Equipment Technician, Customer Zone Technician II, Customer Zone Technician I, Equipment Installer, Fiber Customer Support Analyst, Fiber Network Technician. EducationDegree in electronics technology from an accredited or recognized educational institution or equivalent experience
11/12/2026
Full time
Job Description Job Description Fiber and Copper I&R Telecommunication Tech Skill Requirements Experience in telephone service Experience in CATV installations. Knowledge of Coax cable sizes and types. Experience with test sets Experience routers and home networking. Technical understanding of loss, attenuation, and tiling. Working within attics and crawl spaces. Computer skills Maintains/repairs and tests copper cable in an underground, aerial, or buried environment. Troubleshoots problems that will require copper repair, copper maintenance, copper slicing, faultfinding, etc. Splice existing facilities in buried, underground, aerial and building work locations. Uses hand tools, power tools, and specialty tools, including specialty meters (e.g., multi-meters, volt-ohm meters, HST-3000, Sidekick), in inside and outside plant facilities. Performs testing and turn-up of subscriber lines. Locates and repairs aerial and underground cable. Locates, joins, repairs and rearranges cable and cable equipment in buildings and aerial or buried plant. Installs, maintains/repairs, and tests residential/small business telecommunication service (POTS, Prism, Fiber and DSL). Connects wires and cables to terminals, frames, and attaches/detaches various kinds of hardware to wires, cables, buildings, and poles. Performs continuity and/or conformance testing. Reads and interprets customer service orders, technical (i.e., mechanical, electrical, digital) drawings, maps, blueprints, diagrams, etc. Receives service orders, worksheets (detailed diagrams describing nature and location of equipment to be installed or repaired) and repair tickets from supervisor or other designated employees and performs specified work. Works with telecom color-coded wires and cables. Interacts with customers professionally and courteously via telephone or on the premises. Works well with others to achieve common goals and to foster a cooperative climate, as well as work independently in the field with little supervision. Summary Responsible for tasks assigned by the Company in connection with service order and repair activity on fiber network facilities between and including the customer-serving terminal and into the customer's premise, as well as installation activity at the fiber hub. These tasks may include, but not be limited to, installation and maintenance of voice, data and video equipment and/or service at the customer premise. In addition to providing revenue enhancing offers to the customer. Performs other duties as required.General DutiesDuties include, but are not limited to, the following: Installs, removes, rearranges, programs, tests, troubleshoots and maintains fiber network services. Installs and configures routers, set top boxes. Interacts with Advanced Technical Services as needed. May install appropriate inside wire/cable (such as Cat 5E, Coaxial cable).C. Installs maintains and repairs outside and inside fiber equipment/facilities including inside wiring and fiber jumpers at the distribution hub. Activates the ONT, STB and router at customer premise. Interfaces with customer to negotiate the placement of equipment. Trains the customer on how to use the new equipment. Ensures the customer is satisfied with the work that has been done. Responds to inquires and provides follow-up. Interprets schematic work order drawings to determine job specifications and installation needs. Orders and/or obtains required equipment. Effects problem solving where appropriate. Utilizes various test equipment to analyze equipment trouble and takes appropriate maintenance action. May be required to perform additional duties and tasks as required by the Company. Basic QualificationsA. Tests - Results obtained in standard tests for this position must meet minimum requirements established by the Company, in accordance with Company policy. Must meet ADEX/Frontier's standards of professionalism in communications and appearance. Must wear ADEX/Frontier branded attire. Wears appropriate safety apparel and is aware of and follows all established safety practices and procedures. Ability to identify and distinguish audible tones/levels and colors. Ability to work in confined areas. Ability to lift and carry tool boxes, drop wire, parts containers and installation loads, test equipment, etc. Ability to work aloft. In some areas, pole climbing may not be a requirement; for locations where pole climbing is required, a candidate must meet the course qualification standard. Ability to lift, carry, set-up, climb and take down ladders. Ability to communicate naturally and pleasantly over the telephone. Ability to professionally communicate extensively in person during in-home installation. Requires alertness and attention to detail. Ability to work under stress. A valid driver's license. Able to read and interpret architectural, electrical wiring diagrams. Able to operate applicable test equipment.P. Must be available to workas scheduled including weekends and holidays and for callouts and/or overtime as required. One year of experience in one or a combination of: Cable Splicer, Customer Engineer-Data Application, Customer Equipment Technician, Customer Zone Technician II, Customer Zone Technician I, Equipment Installer, Fiber Customer Support Analyst, Fiber Network Technician. EducationDegree in electronics technology from an accredited or recognized educational institution or equivalent experience
Job Description Job Description Machines learned to understand language. We're teaching them to understand matter. Forty percent of global manufacturing happens through physical and chemical processes inside pipes, tanks, and reactors. Despite decades of industrial automation, much of what happens inside them remains remarkably invisible. Manufacturing is the most ubiquitous and foundational sector in global economy, yet the way factories are fundamentally run have used the same control philosophies, manual operations, and legacy software for the past 60 years. Laminar deploys state-of-the-art patented sensors and edge hardware directly into live production environments, generating data that didn't previously exist to build foundation models deployed in factory floors that understand chemistry, composition, quality, and material state in real time. We use that understanding to run autonomy and rethink how things are made. The last generation of industrial automation taught machines to execute instructions reliably. The next will teach them to understand the processes they control and run autonomously, adaptively, and agentically: higher quality, safety, more efficiently, sustainably, and productively. That future is already taking shape. Today, Laminar works with 7 of the world's 10 largest food and beverage manufacturers and operates across hundreds of factories globally across six continents. Our systems have materially reduced waste, cut manufacturing downtime, saved water, chemicals, energy, and helped prevent safety and quality failures. Our technology has gained international recognition, from being selected as a 2026 World Economic Forum Technology Pioneer, Gold 2026 Edison Award, Unilever Startup of the Year, to Innovator Awards by both Coca-Cola and AB InBev, and more. We are backed by tier-one investors in physical AI to make intelligent, self-improving production the new standard for industry. Join us to build what makes matter intelligible, and the intelligible controllable. As new sensing technologies are integrated into our stack, we need rigorous testing and analysis to improve sensor design, to establish noise and drift characteristics, and to find Limits of Detection (LOD) across industry-relevant chemicals. You will own sensor testing: designing experiments, preparing samples, collecting and analyzing data, and presenting results to the engineering teams. What You Will Do Collaborate with our sensor R&D team to design testing procedures, carry out tests, and analyze data to characterize new sensor performance Support customer-driven use-case exploration, running material fingerprinting and concentration tests, analyzing data and building customer-facing slides Prepare samples at known concentrations, serial dilutions and emulsifications following lab-safety protocols Use statistical methods to calculate LODs for industrially relevant chemicals Focus on experiment reproducibility by maintaining a lab notebook, writing and refining Standard Operating Procedures, and organizing raw data for future comparison Design, test and refine calibration procedures for the new sensing stack About You Degree or pursuing a degree in Chemistry, Physics, Engineering or a related field Detail-oriented and able to follow (and constructively critique) experimental procedure Willingness to get your hands dirty on a wide variety of engineering and technician tasks to help us build better sensors and solve bigger problemsRequired Coursework or experience in chemistry, physics, optical engineering, or a related field Comfort with hands-on lab work and running structured experiments Statistics and data analysis skills (Python, MATLAB, or similar) Preferred Familiarity with spectroscopy and electrical impedance measurement is a plus but not required Benefits Dynamic and inclusive work environment Opportunities for growth and professional development Access to Greentown Labs extensive network of cleantech startups Learn How We Think Learn about our startup journey: Our Journey How we're combating climate change: AI-Powered Climate Tech A customer story: Ben & Jerry's uses H2Ok's precision automation to cut time & water usage There are many easier places to work on AI. Laminar is for people who want the hardest version of their discipline. Models here must survive contact with physics. Hardware must survive years of continuous industrial operation. Software must integrate with machinery built decades ago. Everything we build ultimately has to work on a factory floor. We believe exceptional people should be given exceptional amounts of ownership. At Laminar, you will have the context to form your own view, the permission to challenge ours, and the resources to pursue the right answers, whatever technical or organizational boundaries stand in the way. There are few layers between identifying something important and changing it. We're fortunate to work with a small polymathic team of hardware and software engineers, chemists, AI researchers, factory operators, and go-to-market wizards who are unusually capable, curious, rigorous, ambitious, and low-ego. If that sounds like you, we'd love to meet you. Our Interview Process 1. Phone screen with Laminar HR/Recruiter (15-20 minutes) 2. Intro call with Hiring Manager (30 minutes) 3. On-site interview, overview of tech, and interview/presentation with the Hiring Manager and a few team members. Depending on the role, a skills exercise that should take no longer than an hour to prep, would be sent ahead of time. We record your skills exercise to share with any team members who could not join the interview and/or with Founder's ahead of their Founder's Interview. If you are not local, we can conduct this virtually. 4. Finalists for Full-Time positions will have a Founder's Interview in-person Final steps: Two professional references are requested, ideally one from your current organization and one who served as your Manager If an Offer Letter is extended, a Background check is conducted Laminar is committed to building a diverse and inclusive team. Even if you are unsure you are a perfect fit, we strongly encourage you to apply! If you're ready to play a key role in scaling a game-changing company that's transforming the industrial sector and advancing sustainability, we want to hear from you. Please ensure you add the domain to your safe senders list to ensure you receive our communications. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
11/12/2026
Full time
Job Description Job Description Machines learned to understand language. We're teaching them to understand matter. Forty percent of global manufacturing happens through physical and chemical processes inside pipes, tanks, and reactors. Despite decades of industrial automation, much of what happens inside them remains remarkably invisible. Manufacturing is the most ubiquitous and foundational sector in global economy, yet the way factories are fundamentally run have used the same control philosophies, manual operations, and legacy software for the past 60 years. Laminar deploys state-of-the-art patented sensors and edge hardware directly into live production environments, generating data that didn't previously exist to build foundation models deployed in factory floors that understand chemistry, composition, quality, and material state in real time. We use that understanding to run autonomy and rethink how things are made. The last generation of industrial automation taught machines to execute instructions reliably. The next will teach them to understand the processes they control and run autonomously, adaptively, and agentically: higher quality, safety, more efficiently, sustainably, and productively. That future is already taking shape. Today, Laminar works with 7 of the world's 10 largest food and beverage manufacturers and operates across hundreds of factories globally across six continents. Our systems have materially reduced waste, cut manufacturing downtime, saved water, chemicals, energy, and helped prevent safety and quality failures. Our technology has gained international recognition, from being selected as a 2026 World Economic Forum Technology Pioneer, Gold 2026 Edison Award, Unilever Startup of the Year, to Innovator Awards by both Coca-Cola and AB InBev, and more. We are backed by tier-one investors in physical AI to make intelligent, self-improving production the new standard for industry. Join us to build what makes matter intelligible, and the intelligible controllable. As new sensing technologies are integrated into our stack, we need rigorous testing and analysis to improve sensor design, to establish noise and drift characteristics, and to find Limits of Detection (LOD) across industry-relevant chemicals. You will own sensor testing: designing experiments, preparing samples, collecting and analyzing data, and presenting results to the engineering teams. What You Will Do Collaborate with our sensor R&D team to design testing procedures, carry out tests, and analyze data to characterize new sensor performance Support customer-driven use-case exploration, running material fingerprinting and concentration tests, analyzing data and building customer-facing slides Prepare samples at known concentrations, serial dilutions and emulsifications following lab-safety protocols Use statistical methods to calculate LODs for industrially relevant chemicals Focus on experiment reproducibility by maintaining a lab notebook, writing and refining Standard Operating Procedures, and organizing raw data for future comparison Design, test and refine calibration procedures for the new sensing stack About You Degree or pursuing a degree in Chemistry, Physics, Engineering or a related field Detail-oriented and able to follow (and constructively critique) experimental procedure Willingness to get your hands dirty on a wide variety of engineering and technician tasks to help us build better sensors and solve bigger problemsRequired Coursework or experience in chemistry, physics, optical engineering, or a related field Comfort with hands-on lab work and running structured experiments Statistics and data analysis skills (Python, MATLAB, or similar) Preferred Familiarity with spectroscopy and electrical impedance measurement is a plus but not required Benefits Dynamic and inclusive work environment Opportunities for growth and professional development Access to Greentown Labs extensive network of cleantech startups Learn How We Think Learn about our startup journey: Our Journey How we're combating climate change: AI-Powered Climate Tech A customer story: Ben & Jerry's uses H2Ok's precision automation to cut time & water usage There are many easier places to work on AI. Laminar is for people who want the hardest version of their discipline. Models here must survive contact with physics. Hardware must survive years of continuous industrial operation. Software must integrate with machinery built decades ago. Everything we build ultimately has to work on a factory floor. We believe exceptional people should be given exceptional amounts of ownership. At Laminar, you will have the context to form your own view, the permission to challenge ours, and the resources to pursue the right answers, whatever technical or organizational boundaries stand in the way. There are few layers between identifying something important and changing it. We're fortunate to work with a small polymathic team of hardware and software engineers, chemists, AI researchers, factory operators, and go-to-market wizards who are unusually capable, curious, rigorous, ambitious, and low-ego. If that sounds like you, we'd love to meet you. Our Interview Process 1. Phone screen with Laminar HR/Recruiter (15-20 minutes) 2. Intro call with Hiring Manager (30 minutes) 3. On-site interview, overview of tech, and interview/presentation with the Hiring Manager and a few team members. Depending on the role, a skills exercise that should take no longer than an hour to prep, would be sent ahead of time. We record your skills exercise to share with any team members who could not join the interview and/or with Founder's ahead of their Founder's Interview. If you are not local, we can conduct this virtually. 4. Finalists for Full-Time positions will have a Founder's Interview in-person Final steps: Two professional references are requested, ideally one from your current organization and one who served as your Manager If an Offer Letter is extended, a Background check is conducted Laminar is committed to building a diverse and inclusive team. Even if you are unsure you are a perfect fit, we strongly encourage you to apply! If you're ready to play a key role in scaling a game-changing company that's transforming the industrial sector and advancing sustainability, we want to hear from you. Please ensure you add the domain to your safe senders list to ensure you receive our communications. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
This job posting is anticipated to remain open for 30 days, from 30-Oct-2026. The posting may close early due to the volume of applicants. Join a financial services firm where your contributions are valued. Edward Jones is a Fortune 500 company where people come first. With over 9 million clients and 20,000 financial advisors across the U.S. and Canada, we're proud to be privately-owned, placing the focus on our clients rather than shareholder returns. Behind everything we do is our purpose: We partner for positive impact to improve the lives of our clients and colleagues, and together, better our communities and society. We are an innovative, flexible, and inclusive organization that attracts, develops, and inspires performance excellence and a sense of belonging. People are at the center of our partnership. Edward Jones associates are seen, heard, respected, and supported. This is what we believe makes us the best place to start or build your career. View our Purpose, Inclusion and Citizenship Report . Fortune 500, published June 2024, data as of December 2023. Compensation provided for using, not obtaining, the rating. Team Overview: The Technical Architect will be responsible for working across all areas of Information Systems (IS), providing leadership on technology selection and operational processes for running Threat and Vulnerability Management services and solutions in a mixed on-prem and cloud environment. What You'll Do: Development of Information Security solutions in cloud to meet the needs of the firm. Lead the adoption of cloud infrastructure platforms and the integration of a hybrid architecture Creating and managing relationships with teams across the department Work with distributed teams to ensure that application services are properly instrumented to be reliably monitored and debugged Automate manual, repeatable system processes to reduce Tier 1 efforts Collaborate with project teams to deploy new solutions for proof-of-concept efforts What Experience You'll Need: Minimum 8 years' experience in cybersecurity as a practitioner Experience architecting secure solutions, including network, compute, storage, and security services within a cloud provider Must be experienced in creating a strategic cyber security technology direction, aligning it with tactical activities, and communicating plans broadly across the organization Experience working across multiple large scale cloud providers, such as deployment of compute/storage/network resources Experience with SIEM data ingestion, SOAR and SOC response Must be able to communicate effectively across multiple audiences, including firm-wide business units, senior leaders, associates, external vendors Working knowledge in network, network storage, application development, Operating Systems, IAM (Authentication/authorization), PAM, SSO, and encryption standards Proficiency with Infrastructure as Code (Iac) with Ansible or Terraform Experience coding with Python Familiarity with tools such as Git, Jenkins, Chef, and CI/CD pipelines Knowledge and use of security architecture frameworks such as SABSA or NIST Experience and understanding of various regulatory requirements and laws, including but not limited to: Payment Card Industry (PCI), Sarbanes-Oxley Act (SOX), Health Insurance Portability and Accountability Act (HIPAA), General Data Protection Regulation (GDPR) and Gramm-Leach-Bliley Act (GLBA). Additionally, experience in one or more of the following: ISO 27001/2, ITIL or NIST is preferred Candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office four days per week effective June 1, 2026. Before June 1, 2026, candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office three days per week, with preference for Tuesday through Thursday. At Edward Jones, we are building a place where everyone feels like they belong. We're proud of our associates' contributions to the firm and the recognitions we have received. Check out our U.S. awards and accolades: Insights & Information Blog Postings about Edward Jones Check out our Canadian awards and accolades: Insights & Information Blog Postings about Edward Jones Edward Jones does not discriminate on the basis of race, color, gender, religion, national origin, age, disability, sexual orientation, pregnancy, veteran status, genetic information or any other basis prohibited by applicable law. Edward Jones' compensation and benefits package includes medical and prescription drug, dental, vision, voluntary benefits (such as accident, hospital indemnity, and critical illness), short- and long-term disability, basic life, and basic AD&D coverage. Short- and long-term disability, basic life, and basic AD&D coverage are provided at no cost to associates. Edward Jones offers a 401k retirement plan, and tax-advantaged accounts: health savings account, and flexible spending account. Edward Jones observes ten paid holidays and provides 15 days of vacation for new associates beginning on January 1 of each year, as well as sick time, personal days, and a paid day for volunteerism. Associates may be eligible for bonuses and profit sharing. All associates are eligible for the firm's Employee Assistance Program. For more information on the Benefits available to Edward Jones associates, please visit our benefits page .
11/12/2026
Full time
This job posting is anticipated to remain open for 30 days, from 30-Oct-2026. The posting may close early due to the volume of applicants. Join a financial services firm where your contributions are valued. Edward Jones is a Fortune 500 company where people come first. With over 9 million clients and 20,000 financial advisors across the U.S. and Canada, we're proud to be privately-owned, placing the focus on our clients rather than shareholder returns. Behind everything we do is our purpose: We partner for positive impact to improve the lives of our clients and colleagues, and together, better our communities and society. We are an innovative, flexible, and inclusive organization that attracts, develops, and inspires performance excellence and a sense of belonging. People are at the center of our partnership. Edward Jones associates are seen, heard, respected, and supported. This is what we believe makes us the best place to start or build your career. View our Purpose, Inclusion and Citizenship Report . Fortune 500, published June 2024, data as of December 2023. Compensation provided for using, not obtaining, the rating. Team Overview: The Technical Architect will be responsible for working across all areas of Information Systems (IS), providing leadership on technology selection and operational processes for running Threat and Vulnerability Management services and solutions in a mixed on-prem and cloud environment. What You'll Do: Development of Information Security solutions in cloud to meet the needs of the firm. Lead the adoption of cloud infrastructure platforms and the integration of a hybrid architecture Creating and managing relationships with teams across the department Work with distributed teams to ensure that application services are properly instrumented to be reliably monitored and debugged Automate manual, repeatable system processes to reduce Tier 1 efforts Collaborate with project teams to deploy new solutions for proof-of-concept efforts What Experience You'll Need: Minimum 8 years' experience in cybersecurity as a practitioner Experience architecting secure solutions, including network, compute, storage, and security services within a cloud provider Must be experienced in creating a strategic cyber security technology direction, aligning it with tactical activities, and communicating plans broadly across the organization Experience working across multiple large scale cloud providers, such as deployment of compute/storage/network resources Experience with SIEM data ingestion, SOAR and SOC response Must be able to communicate effectively across multiple audiences, including firm-wide business units, senior leaders, associates, external vendors Working knowledge in network, network storage, application development, Operating Systems, IAM (Authentication/authorization), PAM, SSO, and encryption standards Proficiency with Infrastructure as Code (Iac) with Ansible or Terraform Experience coding with Python Familiarity with tools such as Git, Jenkins, Chef, and CI/CD pipelines Knowledge and use of security architecture frameworks such as SABSA or NIST Experience and understanding of various regulatory requirements and laws, including but not limited to: Payment Card Industry (PCI), Sarbanes-Oxley Act (SOX), Health Insurance Portability and Accountability Act (HIPAA), General Data Protection Regulation (GDPR) and Gramm-Leach-Bliley Act (GLBA). Additionally, experience in one or more of the following: ISO 27001/2, ITIL or NIST is preferred Candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office four days per week effective June 1, 2026. Before June 1, 2026, candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office three days per week, with preference for Tuesday through Thursday. At Edward Jones, we are building a place where everyone feels like they belong. We're proud of our associates' contributions to the firm and the recognitions we have received. Check out our U.S. awards and accolades: Insights & Information Blog Postings about Edward Jones Check out our Canadian awards and accolades: Insights & Information Blog Postings about Edward Jones Edward Jones does not discriminate on the basis of race, color, gender, religion, national origin, age, disability, sexual orientation, pregnancy, veteran status, genetic information or any other basis prohibited by applicable law. Edward Jones' compensation and benefits package includes medical and prescription drug, dental, vision, voluntary benefits (such as accident, hospital indemnity, and critical illness), short- and long-term disability, basic life, and basic AD&D coverage. Short- and long-term disability, basic life, and basic AD&D coverage are provided at no cost to associates. Edward Jones offers a 401k retirement plan, and tax-advantaged accounts: health savings account, and flexible spending account. Edward Jones observes ten paid holidays and provides 15 days of vacation for new associates beginning on January 1 of each year, as well as sick time, personal days, and a paid day for volunteerism. Associates may be eligible for bonuses and profit sharing. All associates are eligible for the firm's Employee Assistance Program. For more information on the Benefits available to Edward Jones associates, please visit our benefits page .
This job posting is anticipated to remain open for 30 days, from 30-Oct-2026. The posting may close early due to the volume of applicants. Join a financial services firm where your contributions are valued. Edward Jones is a Fortune 500 company where people come first. With over 9 million clients and 20,000 financial advisors across the U.S. and Canada, we're proud to be privately-owned, placing the focus on our clients rather than shareholder returns. Behind everything we do is our purpose: We partner for positive impact to improve the lives of our clients and colleagues, and together, better our communities and society. We are an innovative, flexible, and inclusive organization that attracts, develops, and inspires performance excellence and a sense of belonging. People are at the center of our partnership. Edward Jones associates are seen, heard, respected, and supported. This is what we believe makes us the best place to start or build your career. View our Purpose, Inclusion and Citizenship Report . Fortune 500, published June 2024, data as of December 2023. Compensation provided for using, not obtaining, the rating. Team Overview: The Technical Architect will be responsible for working across all areas of Information Systems (IS), providing leadership on technology selection and operational processes for running Threat and Vulnerability Management services and solutions in a mixed on-prem and cloud environment. What You'll Do: Development of Information Security solutions in cloud to meet the needs of the firm. Lead the adoption of cloud infrastructure platforms and the integration of a hybrid architecture Creating and managing relationships with teams across the department Work with distributed teams to ensure that application services are properly instrumented to be reliably monitored and debugged Automate manual, repeatable system processes to reduce Tier 1 efforts Collaborate with project teams to deploy new solutions for proof-of-concept efforts What Experience You'll Need: Minimum 8 years' experience in cybersecurity as a practitioner Experience architecting secure solutions, including network, compute, storage, and security services within a cloud provider Must be experienced in creating a strategic cyber security technology direction, aligning it with tactical activities, and communicating plans broadly across the organization Experience working across multiple large scale cloud providers, such as deployment of compute/storage/network resources Experience with SIEM data ingestion, SOAR and SOC response Must be able to communicate effectively across multiple audiences, including firm-wide business units, senior leaders, associates, external vendors Working knowledge in network, network storage, application development, Operating Systems, IAM (Authentication/authorization), PAM, SSO, and encryption standards Proficiency with Infrastructure as Code (Iac) with Ansible or Terraform Experience coding with Python Familiarity with tools such as Git, Jenkins, Chef, and CI/CD pipelines Knowledge and use of security architecture frameworks such as SABSA or NIST Experience and understanding of various regulatory requirements and laws, including but not limited to: Payment Card Industry (PCI), Sarbanes-Oxley Act (SOX), Health Insurance Portability and Accountability Act (HIPAA), General Data Protection Regulation (GDPR) and Gramm-Leach-Bliley Act (GLBA). Additionally, experience in one or more of the following: ISO 27001/2, ITIL or NIST is preferred Candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office four days per week effective June 1, 2026. Before June 1, 2026, candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office three days per week, with preference for Tuesday through Thursday. At Edward Jones, we are building a place where everyone feels like they belong. We're proud of our associates' contributions to the firm and the recognitions we have received. Check out our U.S. awards and accolades: Insights & Information Blog Postings about Edward Jones Check out our Canadian awards and accolades: Insights & Information Blog Postings about Edward Jones Edward Jones does not discriminate on the basis of race, color, gender, religion, national origin, age, disability, sexual orientation, pregnancy, veteran status, genetic information or any other basis prohibited by applicable law. Edward Jones' compensation and benefits package includes medical and prescription drug, dental, vision, voluntary benefits (such as accident, hospital indemnity, and critical illness), short- and long-term disability, basic life, and basic AD&D coverage. Short- and long-term disability, basic life, and basic AD&D coverage are provided at no cost to associates. Edward Jones offers a 401k retirement plan, and tax-advantaged accounts: health savings account, and flexible spending account. Edward Jones observes ten paid holidays and provides 15 days of vacation for new associates beginning on January 1 of each year, as well as sick time, personal days, and a paid day for volunteerism. Associates may be eligible for bonuses and profit sharing. All associates are eligible for the firm's Employee Assistance Program. For more information on the Benefits available to Edward Jones associates, please visit our benefits page .
11/12/2026
Full time
This job posting is anticipated to remain open for 30 days, from 30-Oct-2026. The posting may close early due to the volume of applicants. Join a financial services firm where your contributions are valued. Edward Jones is a Fortune 500 company where people come first. With over 9 million clients and 20,000 financial advisors across the U.S. and Canada, we're proud to be privately-owned, placing the focus on our clients rather than shareholder returns. Behind everything we do is our purpose: We partner for positive impact to improve the lives of our clients and colleagues, and together, better our communities and society. We are an innovative, flexible, and inclusive organization that attracts, develops, and inspires performance excellence and a sense of belonging. People are at the center of our partnership. Edward Jones associates are seen, heard, respected, and supported. This is what we believe makes us the best place to start or build your career. View our Purpose, Inclusion and Citizenship Report . Fortune 500, published June 2024, data as of December 2023. Compensation provided for using, not obtaining, the rating. Team Overview: The Technical Architect will be responsible for working across all areas of Information Systems (IS), providing leadership on technology selection and operational processes for running Threat and Vulnerability Management services and solutions in a mixed on-prem and cloud environment. What You'll Do: Development of Information Security solutions in cloud to meet the needs of the firm. Lead the adoption of cloud infrastructure platforms and the integration of a hybrid architecture Creating and managing relationships with teams across the department Work with distributed teams to ensure that application services are properly instrumented to be reliably monitored and debugged Automate manual, repeatable system processes to reduce Tier 1 efforts Collaborate with project teams to deploy new solutions for proof-of-concept efforts What Experience You'll Need: Minimum 8 years' experience in cybersecurity as a practitioner Experience architecting secure solutions, including network, compute, storage, and security services within a cloud provider Must be experienced in creating a strategic cyber security technology direction, aligning it with tactical activities, and communicating plans broadly across the organization Experience working across multiple large scale cloud providers, such as deployment of compute/storage/network resources Experience with SIEM data ingestion, SOAR and SOC response Must be able to communicate effectively across multiple audiences, including firm-wide business units, senior leaders, associates, external vendors Working knowledge in network, network storage, application development, Operating Systems, IAM (Authentication/authorization), PAM, SSO, and encryption standards Proficiency with Infrastructure as Code (Iac) with Ansible or Terraform Experience coding with Python Familiarity with tools such as Git, Jenkins, Chef, and CI/CD pipelines Knowledge and use of security architecture frameworks such as SABSA or NIST Experience and understanding of various regulatory requirements and laws, including but not limited to: Payment Card Industry (PCI), Sarbanes-Oxley Act (SOX), Health Insurance Portability and Accountability Act (HIPAA), General Data Protection Regulation (GDPR) and Gramm-Leach-Bliley Act (GLBA). Additionally, experience in one or more of the following: ISO 27001/2, ITIL or NIST is preferred Candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office four days per week effective June 1, 2026. Before June 1, 2026, candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office three days per week, with preference for Tuesday through Thursday. At Edward Jones, we are building a place where everyone feels like they belong. We're proud of our associates' contributions to the firm and the recognitions we have received. Check out our U.S. awards and accolades: Insights & Information Blog Postings about Edward Jones Check out our Canadian awards and accolades: Insights & Information Blog Postings about Edward Jones Edward Jones does not discriminate on the basis of race, color, gender, religion, national origin, age, disability, sexual orientation, pregnancy, veteran status, genetic information or any other basis prohibited by applicable law. Edward Jones' compensation and benefits package includes medical and prescription drug, dental, vision, voluntary benefits (such as accident, hospital indemnity, and critical illness), short- and long-term disability, basic life, and basic AD&D coverage. Short- and long-term disability, basic life, and basic AD&D coverage are provided at no cost to associates. Edward Jones offers a 401k retirement plan, and tax-advantaged accounts: health savings account, and flexible spending account. Edward Jones observes ten paid holidays and provides 15 days of vacation for new associates beginning on January 1 of each year, as well as sick time, personal days, and a paid day for volunteerism. Associates may be eligible for bonuses and profit sharing. All associates are eligible for the firm's Employee Assistance Program. For more information on the Benefits available to Edward Jones associates, please visit our benefits page .
Lead integration, automation, deployment, and sustainment of SaaS platforms and mission-critical applications supporting a U.S. Army cybersecurity program. Design secure CI/CD pipelines and cloud solutions, troubleshoot production systems, and provide technical guidance across engineering teams. Responsibilities Lead onboarding, integration, deployment, and sustainment of Saa S platforms and Tier 3 applications. Design and maintain CI/CD pipelines, infrastructure-as-code, configuration management, and automated deployment workflows. Integrate Saa S applications with identity management, APIs, logging, certificates, networking, and cybersecurity tools. Troubleshoot production issues across Linux, cloud, applications, networking, and security environments. Provide technical leadership, engineering guidance, code reviews, and task prioritization. Develop reusable automation scripts, deployment templates, runbooks, and technical documentation. Required Skills Dev Ops engineering CI/CD pipeline development Git-based workflows Infrastructure-as-code Configuration management Linux administration Cloud engineering (AWS or Azure) Saa S and enterprise application integration Containerization and APIs Networking, DNS, TLS/SSL, and proxy troubleshooting
11/08/2026
Full time
Lead integration, automation, deployment, and sustainment of SaaS platforms and mission-critical applications supporting a U.S. Army cybersecurity program. Design secure CI/CD pipelines and cloud solutions, troubleshoot production systems, and provide technical guidance across engineering teams. Responsibilities Lead onboarding, integration, deployment, and sustainment of Saa S platforms and Tier 3 applications. Design and maintain CI/CD pipelines, infrastructure-as-code, configuration management, and automated deployment workflows. Integrate Saa S applications with identity management, APIs, logging, certificates, networking, and cybersecurity tools. Troubleshoot production issues across Linux, cloud, applications, networking, and security environments. Provide technical leadership, engineering guidance, code reviews, and task prioritization. Develop reusable automation scripts, deployment templates, runbooks, and technical documentation. Required Skills Dev Ops engineering CI/CD pipeline development Git-based workflows Infrastructure-as-code Configuration management Linux administration Cloud engineering (AWS or Azure) Saa S and enterprise application integration Containerization and APIs Networking, DNS, TLS/SSL, and proxy troubleshooting
Job Description Job Description Peak Systems is a preferred provider of cutting-edge data center solutions, delivering reliable and scalable infrastructure to support our clients' critical operations. We are seeking skilled Data Center Technicians to join our team and ensure seamless server deployments. As a Data Center Technician , you will be responsible for performing on-site server rack roll-ins, cable management, transceiver installation, and related tasks to obtain optimal data center operations. This role requires a detail-oriented individual with hands-on technical skills and a commitment to safety and efficiency. Location: Rock Island IL 61201 Start Date: TBD Shift: 8:00 AM start (8-10 hour days) Pay: $30+/hour (based on experience) Responsibilities: Server Rack Roll-In : Safely transport, install, and secure server racks in designated data center locations, ensuring proper alignment and stability. Cable Management : Organize, route, and label data and power cables to maintain a clean, efficient, and safe environment, adhering to industry standards. Transceiver Installation : Install, test, and troubleshoot optical transceivers to ensure reliable network connectivity. Equipment Setup : Assist in the installation and configuration of servers, networking equipment, and related hardware. Documentation : Maintain accurate records of installations, cabling layouts, labeling, and inventory. Safety Compliance : Adhere to data center safety protocols, including proper handling of equipment and use of personal protective equipment (PPE). Collaboration : Work closely with data center engineers, facilities teams, and vendors to support operational goals. Qualifications: Experience : 2-3+ years of experience in data center operations, IT hardware installation, or a related technical role. Technical Skills : Proficiency in server rack installation, cable management, and transceiver installation techniques. Familiarity with data center infrastructure, including power distribution and cooling systems. Knowledge of networking concepts (e.g., Ethernet, fiber optics, and transceiver compatibility). Physical Requirements : Ability to lift and move heavy equipment (up to 50 lbs) and work in confined spaces. Comfortable standing, bending, and reaching for extended periods. Soft Skills : Strong attention to detail and organizational skills. Excellent problem-solving and communication abilities. Ability to work independently and in a team environment. Certifications (Preferred): CompTIA Server+, Data Center Technician, or equivalent. OSHA 10 or similar safety training. Availability : Willingness to work flexible hours, including nights, weekends, or on-call shifts as needed. Join our team and be a key player in building and maintaining cutting-edge IT infrastructure! Company Description For over 30 years, we've helped technology professionals build strong, rewarding careers by offering exposure to Fortune 500 clients and top-tier projects. Whether you're looking to expand your experience in data centers, AI infrastructure, field services, project management, or enterprise IT, we can connect you with exciting opportunities that help you build your career, develop new skills, and work on cutting-edge technology deployments. Company Description For over 30 years, we've helped technology professionals build strong, rewarding careers by offering exposure to Fortune 500 clients and top-tier projects. Whether you're looking to expand your experience in data centers, AI infrastructure, field services, project management, or enterprise IT, we can connect you with exciting opportunities that help you build your career, develop new skills, and work on cutting-edge technology deployments.
11/06/2026
Full time
Job Description Job Description Peak Systems is a preferred provider of cutting-edge data center solutions, delivering reliable and scalable infrastructure to support our clients' critical operations. We are seeking skilled Data Center Technicians to join our team and ensure seamless server deployments. As a Data Center Technician , you will be responsible for performing on-site server rack roll-ins, cable management, transceiver installation, and related tasks to obtain optimal data center operations. This role requires a detail-oriented individual with hands-on technical skills and a commitment to safety and efficiency. Location: Rock Island IL 61201 Start Date: TBD Shift: 8:00 AM start (8-10 hour days) Pay: $30+/hour (based on experience) Responsibilities: Server Rack Roll-In : Safely transport, install, and secure server racks in designated data center locations, ensuring proper alignment and stability. Cable Management : Organize, route, and label data and power cables to maintain a clean, efficient, and safe environment, adhering to industry standards. Transceiver Installation : Install, test, and troubleshoot optical transceivers to ensure reliable network connectivity. Equipment Setup : Assist in the installation and configuration of servers, networking equipment, and related hardware. Documentation : Maintain accurate records of installations, cabling layouts, labeling, and inventory. Safety Compliance : Adhere to data center safety protocols, including proper handling of equipment and use of personal protective equipment (PPE). Collaboration : Work closely with data center engineers, facilities teams, and vendors to support operational goals. Qualifications: Experience : 2-3+ years of experience in data center operations, IT hardware installation, or a related technical role. Technical Skills : Proficiency in server rack installation, cable management, and transceiver installation techniques. Familiarity with data center infrastructure, including power distribution and cooling systems. Knowledge of networking concepts (e.g., Ethernet, fiber optics, and transceiver compatibility). Physical Requirements : Ability to lift and move heavy equipment (up to 50 lbs) and work in confined spaces. Comfortable standing, bending, and reaching for extended periods. Soft Skills : Strong attention to detail and organizational skills. Excellent problem-solving and communication abilities. Ability to work independently and in a team environment. Certifications (Preferred): CompTIA Server+, Data Center Technician, or equivalent. OSHA 10 or similar safety training. Availability : Willingness to work flexible hours, including nights, weekends, or on-call shifts as needed. Join our team and be a key player in building and maintaining cutting-edge IT infrastructure! Company Description For over 30 years, we've helped technology professionals build strong, rewarding careers by offering exposure to Fortune 500 clients and top-tier projects. Whether you're looking to expand your experience in data centers, AI infrastructure, field services, project management, or enterprise IT, we can connect you with exciting opportunities that help you build your career, develop new skills, and work on cutting-edge technology deployments. Company Description For over 30 years, we've helped technology professionals build strong, rewarding careers by offering exposure to Fortune 500 clients and top-tier projects. Whether you're looking to expand your experience in data centers, AI infrastructure, field services, project management, or enterprise IT, we can connect you with exciting opportunities that help you build your career, develop new skills, and work on cutting-edge technology deployments.
Job Description Job Description About Us AGE Solutions is a premier technology and professional services company, providing in-depth consulting, advanced technology solutions, and essential services throughout the U.S. government, defense, and intelligence sectors. Prioritizing innovation and client-focused solutions, we assist major agencies in addressing intricate issues and ensuring a more secure future. We are seeking a CCIE-certified Enterprise Network Architect to provide technical leadership, guidance, and design expertise to a team supporting a DoD agency's WAN as well as emerging technology initiatives as related to network engineering. Provides enterprise-level network architecture, technical strategy, and engineering leadership for network infrastructure. Develops architectural solutions and modernization strategies that improve network security, interoperability, scalability, and operational performance. Responsibilities Include: Develop enterprise network architectures, technical designs, and infrastructure modernization roadmaps. Provide senior technical guidance to network engineers, cybersecurity personnel, and Government leadership. Evaluate existing network architecture and recommend improvements to performance, security, availability, and resilience. Design solutions integrating Cisco routing and switching, Check Point firewalls, and enterprise telecommunications technologies. Assess interoperability between agency classified and unclassified networks as well as with NIPRNet, SIPRNet, and cloud-hosted environments. Lead technical assessments of emerging network technologies, platforms, and architectures. Develop high-level and detailed network designs, engineering specifications, and implementation strategies. Support architectural planning for IPv6, MPLS, multicast, QoS, and enterprise network segmentation. Evaluate hardware and software acquisitions for architectural compatibility, lifecycle suitability, and security compliance. Provide architectural guidance for enterprise cloud connectivity, SCCA integration, and application delivery. Review engineering changes, technical proposals, and major network modernization initiatives. Develop technology assessments, analyses of alternatives, and technical recommendations for Government stakeholders. Support laboratory evaluations, proof-of-concept testing, and technical design validation. Provide expert technical support for complex network performance, interoperability, and security issues. Ensure proposed architectures comply with applicable DoD, DISA, and agency technical and security standards. Advise on selection of technological purchases with regards to processing, data storage, data access, and applications development. Advises of feasibility of potential future projects to management. Required Skills, Qualifications and Experience: Experience: Eight years of relevant experience including experience with network WAN/LAN hardware and software and firewalls. Education: High School Diploma. Citizenship and Clearance: US Citizenship is required. DoD Top Secret clearance or Secret clearance with favorably adjudicated Tier 5/SSBI investigation. Certification: DoD 8570/8140: IAT Level III baseline certification such as CASP+, CCNP Security, CISA, CISSP, GCED, or GCIH. CCIE Enterprise Infrastructure certification. Location: Work will be primarily performed from a contractor-owned facility near Fort Belvoir, VA and customer locations. Candidates may work onsite/reside within commuting distance of one of the following: Fort Belvoir, VA ( highly preferred ) Battle Creek, MI Columbus, OH Dayton, OH New Cumberland, PA Ogden, UT Philadelphia, PA Richmond, VA Anniston, AL San Diego, CA Fort Bragg, NC Robins AFB, GA Tobyhanna, PA. Preferred Qualifications: Check Point Certified Security Administrator (CCSA) or higher certification. AWS, Microsoft Azure, Google Cloud, or Cloud+ certification. Work Environment and Physical Demand: Must be able to work for extended hours at a computer in an office environment as well as work from comm closets and warehouse spaces as needed. The projected salary range for this position is $190,000+ annually. Final compensation will be determined based on factors including years of relevant experience, active security clearance level, certifications, technical skillset, contract requirements, and overall qualifications. At AGE Solutions, we reward performance, invest in growth, and share success. Our benefits support the whole person, professionally, financially, and personally. 26 Days Paid Leave: Includes vacation, sick, personal time, and holidays. You choose how to use it. Performance Bonuses: Performance bonuses are awarded based on individual contributions and company-wide results, aligning recognition with impact. 401(k) with Match: We match 3% of your contributions with immediate vesting. Financial Protection: Company-paid life insurance up to $300K and options for additional coverage for you and your dependents. Health Benefits: Multiple medical plans, dental, vision, FSA and HSA options to fit your needs. Parental Leave: 15 days of fully paid leave for new parents, because family matters. Military Differential Pay: We bridge the gap for employees on active duty, so they don't take a financial hit while serving. Professional Growth: Paid training and certifications, tuition reimbursement, and the tools and tech to get the job done right. Shared Success: In the event of a company sale, our CEO has committed to returning 80% of net proceeds to employees. This ensures our team shares in the long term value they help create. At AGE, you'll do work that matters, supported by a company that delivers for its people.
11/05/2026
Full time
Job Description Job Description About Us AGE Solutions is a premier technology and professional services company, providing in-depth consulting, advanced technology solutions, and essential services throughout the U.S. government, defense, and intelligence sectors. Prioritizing innovation and client-focused solutions, we assist major agencies in addressing intricate issues and ensuring a more secure future. We are seeking a CCIE-certified Enterprise Network Architect to provide technical leadership, guidance, and design expertise to a team supporting a DoD agency's WAN as well as emerging technology initiatives as related to network engineering. Provides enterprise-level network architecture, technical strategy, and engineering leadership for network infrastructure. Develops architectural solutions and modernization strategies that improve network security, interoperability, scalability, and operational performance. Responsibilities Include: Develop enterprise network architectures, technical designs, and infrastructure modernization roadmaps. Provide senior technical guidance to network engineers, cybersecurity personnel, and Government leadership. Evaluate existing network architecture and recommend improvements to performance, security, availability, and resilience. Design solutions integrating Cisco routing and switching, Check Point firewalls, and enterprise telecommunications technologies. Assess interoperability between agency classified and unclassified networks as well as with NIPRNet, SIPRNet, and cloud-hosted environments. Lead technical assessments of emerging network technologies, platforms, and architectures. Develop high-level and detailed network designs, engineering specifications, and implementation strategies. Support architectural planning for IPv6, MPLS, multicast, QoS, and enterprise network segmentation. Evaluate hardware and software acquisitions for architectural compatibility, lifecycle suitability, and security compliance. Provide architectural guidance for enterprise cloud connectivity, SCCA integration, and application delivery. Review engineering changes, technical proposals, and major network modernization initiatives. Develop technology assessments, analyses of alternatives, and technical recommendations for Government stakeholders. Support laboratory evaluations, proof-of-concept testing, and technical design validation. Provide expert technical support for complex network performance, interoperability, and security issues. Ensure proposed architectures comply with applicable DoD, DISA, and agency technical and security standards. Advise on selection of technological purchases with regards to processing, data storage, data access, and applications development. Advises of feasibility of potential future projects to management. Required Skills, Qualifications and Experience: Experience: Eight years of relevant experience including experience with network WAN/LAN hardware and software and firewalls. Education: High School Diploma. Citizenship and Clearance: US Citizenship is required. DoD Top Secret clearance or Secret clearance with favorably adjudicated Tier 5/SSBI investigation. Certification: DoD 8570/8140: IAT Level III baseline certification such as CASP+, CCNP Security, CISA, CISSP, GCED, or GCIH. CCIE Enterprise Infrastructure certification. Location: Work will be primarily performed from a contractor-owned facility near Fort Belvoir, VA and customer locations. Candidates may work onsite/reside within commuting distance of one of the following: Fort Belvoir, VA ( highly preferred ) Battle Creek, MI Columbus, OH Dayton, OH New Cumberland, PA Ogden, UT Philadelphia, PA Richmond, VA Anniston, AL San Diego, CA Fort Bragg, NC Robins AFB, GA Tobyhanna, PA. Preferred Qualifications: Check Point Certified Security Administrator (CCSA) or higher certification. AWS, Microsoft Azure, Google Cloud, or Cloud+ certification. Work Environment and Physical Demand: Must be able to work for extended hours at a computer in an office environment as well as work from comm closets and warehouse spaces as needed. The projected salary range for this position is $190,000+ annually. Final compensation will be determined based on factors including years of relevant experience, active security clearance level, certifications, technical skillset, contract requirements, and overall qualifications. At AGE Solutions, we reward performance, invest in growth, and share success. Our benefits support the whole person, professionally, financially, and personally. 26 Days Paid Leave: Includes vacation, sick, personal time, and holidays. You choose how to use it. Performance Bonuses: Performance bonuses are awarded based on individual contributions and company-wide results, aligning recognition with impact. 401(k) with Match: We match 3% of your contributions with immediate vesting. Financial Protection: Company-paid life insurance up to $300K and options for additional coverage for you and your dependents. Health Benefits: Multiple medical plans, dental, vision, FSA and HSA options to fit your needs. Parental Leave: 15 days of fully paid leave for new parents, because family matters. Military Differential Pay: We bridge the gap for employees on active duty, so they don't take a financial hit while serving. Professional Growth: Paid training and certifications, tuition reimbursement, and the tools and tech to get the job done right. Shared Success: In the event of a company sale, our CEO has committed to returning 80% of net proceeds to employees. This ensures our team shares in the long term value they help create. At AGE, you'll do work that matters, supported by a company that delivers for its people.
Job Description Job Description About Us AGE Solutions is a premier technology and professional services company, providing in-depth consulting, advanced technology solutions, and essential services throughout the U.S. government, defense, and intelligence sectors. Prioritizing innovation and client-focused solutions, we assist major agencies in addressing intricate issues and ensuring a more secure future. We are seeking a CCIE-certified Enterprise Network Architect to provide technical leadership, guidance, and design expertise to a team supporting a DoD agency's WAN as well as emerging technology initiatives as related to network engineering. Provides enterprise-level network architecture, technical strategy, and engineering leadership for network infrastructure. Develops architectural solutions and modernization strategies that improve network security, interoperability, scalability, and operational performance. Responsibilities Include: Develop enterprise network architectures, technical designs, and infrastructure modernization roadmaps. Provide senior technical guidance to network engineers, cybersecurity personnel, and Government leadership. Evaluate existing network architecture and recommend improvements to performance, security, availability, and resilience. Design solutions integrating Cisco routing and switching, Check Point firewalls, and enterprise telecommunications technologies. Assess interoperability between agency classified and unclassified networks as well as with NIPRNet, SIPRNet, and cloud-hosted environments. Lead technical assessments of emerging network technologies, platforms, and architectures. Develop high-level and detailed network designs, engineering specifications, and implementation strategies. Support architectural planning for IPv6, MPLS, multicast, QoS, and enterprise network segmentation. Evaluate hardware and software acquisitions for architectural compatibility, lifecycle suitability, and security compliance. Provide architectural guidance for enterprise cloud connectivity, SCCA integration, and application delivery. Review engineering changes, technical proposals, and major network modernization initiatives. Develop technology assessments, analyses of alternatives, and technical recommendations for Government stakeholders. Support laboratory evaluations, proof-of-concept testing, and technical design validation. Provide expert technical support for complex network performance, interoperability, and security issues. Ensure proposed architectures comply with applicable DoD, DISA, and agency technical and security standards. Advise on selection of technological purchases with regards to processing, data storage, data access, and applications development. Advises of feasibility of potential future projects to management. Required Skills, Qualifications and Experience: Experience: Eight years of relevant experience including experience with network WAN/LAN hardware and software and firewalls. Education: High School Diploma. Citizenship and Clearance: US Citizenship is required. DoD Top Secret clearance or Secret clearance with favorably adjudicated Tier 5/SSBI investigation. Certification: DoD 8570/8140: IAT Level III baseline certification such as CASP+, CCNP Security, CISA, CISSP, GCED, or GCIH. CCIE Enterprise Infrastructure certification. Location: Work will be primarily performed from a contractor-owned facility near Fort Belvoir, VA and customer locations. Candidates may work onsite/reside within commuting distance of one of the following: Fort Belvoir, VA ( highly preferred ) Battle Creek, MI Columbus, OH Dayton, OH New Cumberland, PA Ogden, UT Philadelphia, PA Richmond, VA Anniston, AL San Diego, CA Fort Bragg, NC Robins AFB, GA Tobyhanna, PA. Preferred Qualifications: Check Point Certified Security Administrator (CCSA) or higher certification. AWS, Microsoft Azure, Google Cloud, or Cloud+ certification. Work Environment and Physical Demand: Must be able to work for extended hours at a computer in an office environment as well as work from comm closets and warehouse spaces as needed. The projected salary range for this position is $190,000+ annually. Final compensation will be determined based on factors including years of relevant experience, active security clearance level, certifications, technical skillset, contract requirements, and overall qualifications. At AGE Solutions, we reward performance, invest in growth, and share success. Our benefits support the whole person, professionally, financially, and personally. 26 Days Paid Leave: Includes vacation, sick, personal time, and holidays. You choose how to use it. Performance Bonuses: Performance bonuses are awarded based on individual contributions and company-wide results, aligning recognition with impact. 401(k) with Match: We match 3% of your contributions with immediate vesting. Financial Protection: Company-paid life insurance up to $300K and options for additional coverage for you and your dependents. Health Benefits: Multiple medical plans, dental, vision, FSA and HSA options to fit your needs. Parental Leave: 15 days of fully paid leave for new parents, because family matters. Military Differential Pay: We bridge the gap for employees on active duty, so they don't take a financial hit while serving. Professional Growth: Paid training and certifications, tuition reimbursement, and the tools and tech to get the job done right. Shared Success: In the event of a company sale, our CEO has committed to returning 80% of net proceeds to employees. This ensures our team shares in the long term value they help create. At AGE, you'll do work that matters, supported by a company that delivers for its people.
11/02/2026
Full time
Job Description Job Description About Us AGE Solutions is a premier technology and professional services company, providing in-depth consulting, advanced technology solutions, and essential services throughout the U.S. government, defense, and intelligence sectors. Prioritizing innovation and client-focused solutions, we assist major agencies in addressing intricate issues and ensuring a more secure future. We are seeking a CCIE-certified Enterprise Network Architect to provide technical leadership, guidance, and design expertise to a team supporting a DoD agency's WAN as well as emerging technology initiatives as related to network engineering. Provides enterprise-level network architecture, technical strategy, and engineering leadership for network infrastructure. Develops architectural solutions and modernization strategies that improve network security, interoperability, scalability, and operational performance. Responsibilities Include: Develop enterprise network architectures, technical designs, and infrastructure modernization roadmaps. Provide senior technical guidance to network engineers, cybersecurity personnel, and Government leadership. Evaluate existing network architecture and recommend improvements to performance, security, availability, and resilience. Design solutions integrating Cisco routing and switching, Check Point firewalls, and enterprise telecommunications technologies. Assess interoperability between agency classified and unclassified networks as well as with NIPRNet, SIPRNet, and cloud-hosted environments. Lead technical assessments of emerging network technologies, platforms, and architectures. Develop high-level and detailed network designs, engineering specifications, and implementation strategies. Support architectural planning for IPv6, MPLS, multicast, QoS, and enterprise network segmentation. Evaluate hardware and software acquisitions for architectural compatibility, lifecycle suitability, and security compliance. Provide architectural guidance for enterprise cloud connectivity, SCCA integration, and application delivery. Review engineering changes, technical proposals, and major network modernization initiatives. Develop technology assessments, analyses of alternatives, and technical recommendations for Government stakeholders. Support laboratory evaluations, proof-of-concept testing, and technical design validation. Provide expert technical support for complex network performance, interoperability, and security issues. Ensure proposed architectures comply with applicable DoD, DISA, and agency technical and security standards. Advise on selection of technological purchases with regards to processing, data storage, data access, and applications development. Advises of feasibility of potential future projects to management. Required Skills, Qualifications and Experience: Experience: Eight years of relevant experience including experience with network WAN/LAN hardware and software and firewalls. Education: High School Diploma. Citizenship and Clearance: US Citizenship is required. DoD Top Secret clearance or Secret clearance with favorably adjudicated Tier 5/SSBI investigation. Certification: DoD 8570/8140: IAT Level III baseline certification such as CASP+, CCNP Security, CISA, CISSP, GCED, or GCIH. CCIE Enterprise Infrastructure certification. Location: Work will be primarily performed from a contractor-owned facility near Fort Belvoir, VA and customer locations. Candidates may work onsite/reside within commuting distance of one of the following: Fort Belvoir, VA ( highly preferred ) Battle Creek, MI Columbus, OH Dayton, OH New Cumberland, PA Ogden, UT Philadelphia, PA Richmond, VA Anniston, AL San Diego, CA Fort Bragg, NC Robins AFB, GA Tobyhanna, PA. Preferred Qualifications: Check Point Certified Security Administrator (CCSA) or higher certification. AWS, Microsoft Azure, Google Cloud, or Cloud+ certification. Work Environment and Physical Demand: Must be able to work for extended hours at a computer in an office environment as well as work from comm closets and warehouse spaces as needed. The projected salary range for this position is $190,000+ annually. Final compensation will be determined based on factors including years of relevant experience, active security clearance level, certifications, technical skillset, contract requirements, and overall qualifications. At AGE Solutions, we reward performance, invest in growth, and share success. Our benefits support the whole person, professionally, financially, and personally. 26 Days Paid Leave: Includes vacation, sick, personal time, and holidays. You choose how to use it. Performance Bonuses: Performance bonuses are awarded based on individual contributions and company-wide results, aligning recognition with impact. 401(k) with Match: We match 3% of your contributions with immediate vesting. Financial Protection: Company-paid life insurance up to $300K and options for additional coverage for you and your dependents. Health Benefits: Multiple medical plans, dental, vision, FSA and HSA options to fit your needs. Parental Leave: 15 days of fully paid leave for new parents, because family matters. Military Differential Pay: We bridge the gap for employees on active duty, so they don't take a financial hit while serving. Professional Growth: Paid training and certifications, tuition reimbursement, and the tools and tech to get the job done right. Shared Success: In the event of a company sale, our CEO has committed to returning 80% of net proceeds to employees. This ensures our team shares in the long term value they help create. At AGE, you'll do work that matters, supported by a company that delivers for its people.
Job Description Job Description Role: Cybersecurity / Network Engineer Location: Houston, TX (Hybrid) Pay Range: $120,000 - $125,000 / year Benefits: This position is eligible for medical, dental, vision and 401(k) About the Role We are seeking a Cybersecurity / Network Engineer to take ownership of a growing enterprise network and help shape the organization's long-term infrastructure and security strategy. This role combines hands-on network engineering with cybersecurity oversight, making it an excellent opportunity for someone who enjoys building secure, scalable environments while proactively identifying opportunities for improvement. The ideal candidate has experience managing enterprise network infrastructure, strengthening security posture, and partnering with third-party security providers to protect business operations. This position is best suited for someone who takes initiative, thinks strategically, and is comfortable serving as the technical owner of a complex network environment. Primary Responsibilities Manage, maintain, and optimize enterprise network infrastructure across multiple locations. Design, implement, and support secure networking solutions including firewalls, VPNs, wireless networks, and SD-WAN connectivity. Administer and support Cisco Meraki and Fortinet network environments. Partner with third-party security vendors to monitor, investigate, and respond to cybersecurity events. Lead vulnerability remediation efforts and support ongoing risk reduction initiatives. Develop and enhance security policies, standards, and best practices to strengthen the organization's cybersecurity posture. Support compliance initiatives including NIST and CMMC frameworks. Perform regular security assessments, identify infrastructure risks, and recommend improvements. Administer core Microsoft infrastructure including Active Directory, DNS, DHCP, and Group Policy. Troubleshoot network, server, and infrastructure issues across both on-premises and cloud environments. Maintain accurate network diagrams, technical documentation, and system inventories. Provide Tier II/III infrastructure support and collaborate with internal teams on technology initiatives. Participate in infrastructure planning, capacity management, and continuous improvement efforts. Required Background 5+ years of experience in Network Engineering, Cybersecurity, or Infrastructure Engineering. Experience administering Cisco Meraki networking environments. Hands-on experience managing Fortinet/FortiGate firewalls. Strong understanding of enterprise networking including routing, switching, VPNs, wireless networking, and SD-WAN. Experience supporting Microsoft Active Directory, DNS, DHCP, and Group Policy. Knowledge of cybersecurity frameworks such as NIST and/or CMMC. Experience working through a cybersecurity incident, including investigation, remediation, and recovery efforts. Experience coordinating with third-party security vendors or managed security providers. Strong troubleshooting skills across network and infrastructure technologies. Skills & Qualifications Strong understanding of network architecture, cybersecurity principles, and infrastructure best practices. Ability to proactively identify risks and implement long-term technical improvements. Excellent problem-solving and analytical skills. Strong verbal and written communication skills. Ability to work independently while collaborating with cross-functional teams. Experience with VMware, SAN/NAS storage, or cloud infrastructure is a plus. Familiarity with endpoint security platforms, vulnerability management, SIEM solutions, or email security tools is preferred. Comfortable supporting multiple locations and occasional travel to local data center facilities as needed. Self-motivated with a strong sense of ownership and accountability. 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. IND 005-009
10/07/2026
Full time
Job Description Job Description Role: Cybersecurity / Network Engineer Location: Houston, TX (Hybrid) Pay Range: $120,000 - $125,000 / year Benefits: This position is eligible for medical, dental, vision and 401(k) About the Role We are seeking a Cybersecurity / Network Engineer to take ownership of a growing enterprise network and help shape the organization's long-term infrastructure and security strategy. This role combines hands-on network engineering with cybersecurity oversight, making it an excellent opportunity for someone who enjoys building secure, scalable environments while proactively identifying opportunities for improvement. The ideal candidate has experience managing enterprise network infrastructure, strengthening security posture, and partnering with third-party security providers to protect business operations. This position is best suited for someone who takes initiative, thinks strategically, and is comfortable serving as the technical owner of a complex network environment. Primary Responsibilities Manage, maintain, and optimize enterprise network infrastructure across multiple locations. Design, implement, and support secure networking solutions including firewalls, VPNs, wireless networks, and SD-WAN connectivity. Administer and support Cisco Meraki and Fortinet network environments. Partner with third-party security vendors to monitor, investigate, and respond to cybersecurity events. Lead vulnerability remediation efforts and support ongoing risk reduction initiatives. Develop and enhance security policies, standards, and best practices to strengthen the organization's cybersecurity posture. Support compliance initiatives including NIST and CMMC frameworks. Perform regular security assessments, identify infrastructure risks, and recommend improvements. Administer core Microsoft infrastructure including Active Directory, DNS, DHCP, and Group Policy. Troubleshoot network, server, and infrastructure issues across both on-premises and cloud environments. Maintain accurate network diagrams, technical documentation, and system inventories. Provide Tier II/III infrastructure support and collaborate with internal teams on technology initiatives. Participate in infrastructure planning, capacity management, and continuous improvement efforts. Required Background 5+ years of experience in Network Engineering, Cybersecurity, or Infrastructure Engineering. Experience administering Cisco Meraki networking environments. Hands-on experience managing Fortinet/FortiGate firewalls. Strong understanding of enterprise networking including routing, switching, VPNs, wireless networking, and SD-WAN. Experience supporting Microsoft Active Directory, DNS, DHCP, and Group Policy. Knowledge of cybersecurity frameworks such as NIST and/or CMMC. Experience working through a cybersecurity incident, including investigation, remediation, and recovery efforts. Experience coordinating with third-party security vendors or managed security providers. Strong troubleshooting skills across network and infrastructure technologies. Skills & Qualifications Strong understanding of network architecture, cybersecurity principles, and infrastructure best practices. Ability to proactively identify risks and implement long-term technical improvements. Excellent problem-solving and analytical skills. Strong verbal and written communication skills. Ability to work independently while collaborating with cross-functional teams. Experience with VMware, SAN/NAS storage, or cloud infrastructure is a plus. Familiarity with endpoint security platforms, vulnerability management, SIEM solutions, or email security tools is preferred. Comfortable supporting multiple locations and occasional travel to local data center facilities as needed. Self-motivated with a strong sense of ownership and accountability. 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. IND 005-009
Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal ML Platform Engineer Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. This role is based at our h eadquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. About the Team Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. The Opportunity As a Principal Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity engineering solutions, set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. What You'll Do Develop Clean Software: Architect, build, and optimize high-performance software systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier application layers - from feature scoping through implementation. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. Required Qualifications Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go. Domain Expertise: Deep working knowledge of distributed systems, cloud infrastructure, and the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. Preferred Qualifications Cloud Architecture: Strong experience designing microservices, working with containerization (Docker, Kubernetes), and implementing modern CI/CD pipelines. Cloud Platforms: Deep experience developing and operating infrastructure across public cloud ecosystems, specifically AWS, Azure, and/or GCP. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. What We Equip You With High-Impact Autonomy: A leadership environment where you will have real ownership over your team's direction, the latitude to make meaningful decisions, and participation in broader Engineering discussions. New Hire Orientation: A robust onboarding experience designed to integrate you smoothly into our technology, culture, and leadership model so you can show up for your team from day one. Continuous Enablement: Access to premier learning resources and dedicated learning time focused on both your continued technical growth and your evolution as an engineering leader. Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $175,000-$325,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments . click apply for full job details
10/07/2026
Full time
Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal ML Platform Engineer Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. This role is based at our h eadquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. About the Team Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. The Opportunity As a Principal Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity engineering solutions, set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. What You'll Do Develop Clean Software: Architect, build, and optimize high-performance software systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier application layers - from feature scoping through implementation. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. Required Qualifications Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go. Domain Expertise: Deep working knowledge of distributed systems, cloud infrastructure, and the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. Preferred Qualifications Cloud Architecture: Strong experience designing microservices, working with containerization (Docker, Kubernetes), and implementing modern CI/CD pipelines. Cloud Platforms: Deep experience developing and operating infrastructure across public cloud ecosystems, specifically AWS, Azure, and/or GCP. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. What We Equip You With High-Impact Autonomy: A leadership environment where you will have real ownership over your team's direction, the latitude to make meaningful decisions, and participation in broader Engineering discussions. New Hire Orientation: A robust onboarding experience designed to integrate you smoothly into our technology, culture, and leadership model so you can show up for your team from day one. Continuous Enablement: Access to premier learning resources and dedicated learning time focused on both your continued technical growth and your evolution as an engineering leader. Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $175,000-$325,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments . click apply for full job details
Amazon Web Services (AWS) is the leading cloud provider. AWS runs a globally distributed and resilient environment, operating at massive scale and enabling businesses and government agencies to run their operations and applications on AWS's multi-tenant infrastructure. Through AWS' virtual infrastructure, customers all over the world innovate faster with emerging technologies like AI/machine learning including generative AI, high performance computing, quantum, and more. Our World Wide Public Sector (WWPS) team is looking for an exceptional sales candidate who is excited about accelerating customers' journey to transform their mission areas and business functions with emerging technology. The candidate will join our fast growing AWS National Security Emerging Technology team to support sensitive and critical US Defense and Intelligence cloud technologies and activities. In this AI & Emerging Tech Specialist role, you will focus on developing customer use cases, driving adoption, and shaping the go-to-market strategy across multiple customer agencies in close collaboration with each account team. You will work backwards from customers' mission needs to develop integrated solutions that leverage AWS and partner data, analytics, generative AI, and emerging technology capabilities. As an AI & Emerging Tech Specialist, you will partner with customer executives and builders as they adopt DataOps, MLOps, and AI governance best practices to operationalize AI at scale in secure and classified environments. This position requires that the candidate selected be a US Citizen and must currently possess an active Top Secret security clearance. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph and satisfy other security related requirements. Key job responsibilities - Prospect into new AI and emerging technology customers and buying centers by working closely with AWS account teams and partners to identify mission-driven use cases for generative AI, agentic AI, ML at the edge, quantum, and other emerging capabilities. - Serve as a subject matter expert in AI and emerging technologies - including generative AI, foundation models, and associated AWS services - providing specialized sales guidance, technical enablement, and thought leadership to account teams and customers. - Meet regularly with national security executives and mission owners to understand their mission requirements, existing architectures, and technology roadmaps, and introduce AWS AI, data, analytics, and emerging technology services that accelerate mission outcomes. - Negotiate and close large, complex AI and emerging technology opportunities, working across multiple agencies and buying centers to drive adoption at scale. - Work closely with Amazon business leaders - including customer account teams, hardware and software engineering leaders, professional services, and technical program managers - to align emerging technology solutions with customer mission needs. - Represent the voice of the customer; collaborate with field and central teams to bring customer feedback to product teams. Lead curation of custom feature requests, regional availability requirements, and unique mission use cases across classified and unclassified environments. - Identify opportunities for Marketing and Public Policy engagements that position AWS as a trusted partner for AI and emerging technologies in the national security community. - Leverage Defense and Professional Associations to establish AWS as a thought and industry leader in AI and emerging technologies, deepening customer intimacy, nurturing existing partner relationships, developing new partnerships, and uncovering new opportunities. A day in the life This is a highly dynamic role, and as such, your typical day could include 2-3 morning meetings with agency executives, program officers, and builders. In the afternoon, you might be leading an internal strategy or working session with key stakeholders from NatSec account teams, service teams, or Professional Services. About the team The team you would join specializes in AI and Emerging Technologies for National Security, with a core focus on generative AI, frontier AI, ML at the edge, quantum, mission networking, and advanced computing. We pride ourselves on our deep technical expertise and mission knowledge. Members of our team dive deep into their technical specialties, stay ahead of trends in mission adoption of emerging technologies, and develop best practices for accelerating responsible adoption across classified and unclassified environments. As a high-performing sales organization embedded within the NatSec community, the team serves as a trusted partner to end users, agency leadership, and the policy community - helping customers navigate the rapidly evolving AI and emerging technology landscape to deliver mission impact. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS- Bachelor's degree in a relevant field or equivalent work experience - 7+ years of technology platform sales with an understanding of government IT, data centers, cloud services and cloud adoption experience - Experience working cross-functionally with tech and non-tech teams - Current, active US Government Security Clearance of Top Secret or above PREFERRED QUALIFICATIONS- 10+ years of direct sales or business development in software, cloud or SaaS markets selling to C-level executives experience - Experience with AI/ML technologies - Experience with one or more of the following domains: analytics, security, storage, DevOps, application development, or machine learning - Experience interpreting data and making business recommendations - Experience developing, negotiating and executing business agreements - Experience with generative AI, foundation models, or agentic AI solutions - Track record of building new business categories or emerging technology practices from the ground up Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, MD, Jessup - 176 200.00 USD annually USA, VA, Arlington - 176 200.00 USD annually USA, VA, Herndon - 176 200.00 USD annually
10/07/2026
Full time
Amazon Web Services (AWS) is the leading cloud provider. AWS runs a globally distributed and resilient environment, operating at massive scale and enabling businesses and government agencies to run their operations and applications on AWS's multi-tenant infrastructure. Through AWS' virtual infrastructure, customers all over the world innovate faster with emerging technologies like AI/machine learning including generative AI, high performance computing, quantum, and more. Our World Wide Public Sector (WWPS) team is looking for an exceptional sales candidate who is excited about accelerating customers' journey to transform their mission areas and business functions with emerging technology. The candidate will join our fast growing AWS National Security Emerging Technology team to support sensitive and critical US Defense and Intelligence cloud technologies and activities. In this AI & Emerging Tech Specialist role, you will focus on developing customer use cases, driving adoption, and shaping the go-to-market strategy across multiple customer agencies in close collaboration with each account team. You will work backwards from customers' mission needs to develop integrated solutions that leverage AWS and partner data, analytics, generative AI, and emerging technology capabilities. As an AI & Emerging Tech Specialist, you will partner with customer executives and builders as they adopt DataOps, MLOps, and AI governance best practices to operationalize AI at scale in secure and classified environments. This position requires that the candidate selected be a US Citizen and must currently possess an active Top Secret security clearance. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph and satisfy other security related requirements. Key job responsibilities - Prospect into new AI and emerging technology customers and buying centers by working closely with AWS account teams and partners to identify mission-driven use cases for generative AI, agentic AI, ML at the edge, quantum, and other emerging capabilities. - Serve as a subject matter expert in AI and emerging technologies - including generative AI, foundation models, and associated AWS services - providing specialized sales guidance, technical enablement, and thought leadership to account teams and customers. - Meet regularly with national security executives and mission owners to understand their mission requirements, existing architectures, and technology roadmaps, and introduce AWS AI, data, analytics, and emerging technology services that accelerate mission outcomes. - Negotiate and close large, complex AI and emerging technology opportunities, working across multiple agencies and buying centers to drive adoption at scale. - Work closely with Amazon business leaders - including customer account teams, hardware and software engineering leaders, professional services, and technical program managers - to align emerging technology solutions with customer mission needs. - Represent the voice of the customer; collaborate with field and central teams to bring customer feedback to product teams. Lead curation of custom feature requests, regional availability requirements, and unique mission use cases across classified and unclassified environments. - Identify opportunities for Marketing and Public Policy engagements that position AWS as a trusted partner for AI and emerging technologies in the national security community. - Leverage Defense and Professional Associations to establish AWS as a thought and industry leader in AI and emerging technologies, deepening customer intimacy, nurturing existing partner relationships, developing new partnerships, and uncovering new opportunities. A day in the life This is a highly dynamic role, and as such, your typical day could include 2-3 morning meetings with agency executives, program officers, and builders. In the afternoon, you might be leading an internal strategy or working session with key stakeholders from NatSec account teams, service teams, or Professional Services. About the team The team you would join specializes in AI and Emerging Technologies for National Security, with a core focus on generative AI, frontier AI, ML at the edge, quantum, mission networking, and advanced computing. We pride ourselves on our deep technical expertise and mission knowledge. Members of our team dive deep into their technical specialties, stay ahead of trends in mission adoption of emerging technologies, and develop best practices for accelerating responsible adoption across classified and unclassified environments. As a high-performing sales organization embedded within the NatSec community, the team serves as a trusted partner to end users, agency leadership, and the policy community - helping customers navigate the rapidly evolving AI and emerging technology landscape to deliver mission impact. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS- Bachelor's degree in a relevant field or equivalent work experience - 7+ years of technology platform sales with an understanding of government IT, data centers, cloud services and cloud adoption experience - Experience working cross-functionally with tech and non-tech teams - Current, active US Government Security Clearance of Top Secret or above PREFERRED QUALIFICATIONS- 10+ years of direct sales or business development in software, cloud or SaaS markets selling to C-level executives experience - Experience with AI/ML technologies - Experience with one or more of the following domains: analytics, security, storage, DevOps, application development, or machine learning - Experience interpreting data and making business recommendations - Experience developing, negotiating and executing business agreements - Experience with generative AI, foundation models, or agentic AI solutions - Track record of building new business categories or emerging technology practices from the ground up Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, MD, Jessup - 176 200.00 USD annually USA, VA, Arlington - 176 200.00 USD annually USA, VA, Herndon - 176 200.00 USD annually
Constellation Energy seeks a Sr. Operational Technology Systems Administrator to manage and secure OT systems that support energy generation and delivery. In this role you will administer critical control systems, SCADA and related networks, implement cybersecurity and patching, and ensure high availability and compliance in a regulated utility environment. You'll partner with operations, engineering, and security teams to design resilient solutions, respond to incidents, and support upgrades. This position offers the chance to work on impactful grid and reliability initiatives in a collaborative, innovation-driven culture. Responsibilities Administer, configure, and maintain operational technology (OT) systems supporting power generation and grid operations Monitor OT network performance, reliability, and security, responding to incidents and outages Implement and maintain patching, backups, and disaster recovery procedures for OT assets Collaborate with engineering, plant operations, and IT security teams on system upgrades and integrations Harden OT environments following cybersecurity best practices and NERC/CIP or similar standards Develop and maintain documentation, runbooks, and asset inventories for OT systems Support deployment, testing, and validation of new OT platforms and automation tools Provide Tier 2/3 support and on-call escalation for critical OT infrastructure Assist with compliance audits, risk assessments, and remediation plans Train operations staff on OT system use, changes, and procedures Required Skills Operational technology (OT) administration SCADA/DCS systems Industrial control systems (ICS) Network administration and segmentation Windows and Linux server administration Cybersecurity and hardening (OT/ICS) Firewalls, VPNs, and IDS/IPSBackup, recovery, and high availability NERC/CIP or similar compliance Scripting/automation (Power Shell, Python)
10/02/2026
Full time
Constellation Energy seeks a Sr. Operational Technology Systems Administrator to manage and secure OT systems that support energy generation and delivery. In this role you will administer critical control systems, SCADA and related networks, implement cybersecurity and patching, and ensure high availability and compliance in a regulated utility environment. You'll partner with operations, engineering, and security teams to design resilient solutions, respond to incidents, and support upgrades. This position offers the chance to work on impactful grid and reliability initiatives in a collaborative, innovation-driven culture. Responsibilities Administer, configure, and maintain operational technology (OT) systems supporting power generation and grid operations Monitor OT network performance, reliability, and security, responding to incidents and outages Implement and maintain patching, backups, and disaster recovery procedures for OT assets Collaborate with engineering, plant operations, and IT security teams on system upgrades and integrations Harden OT environments following cybersecurity best practices and NERC/CIP or similar standards Develop and maintain documentation, runbooks, and asset inventories for OT systems Support deployment, testing, and validation of new OT platforms and automation tools Provide Tier 2/3 support and on-call escalation for critical OT infrastructure Assist with compliance audits, risk assessments, and remediation plans Train operations staff on OT system use, changes, and procedures Required Skills Operational technology (OT) administration SCADA/DCS systems Industrial control systems (ICS) Network administration and segmentation Windows and Linux server administration Cybersecurity and hardening (OT/ICS) Firewalls, VPNs, and IDS/IPSBackup, recovery, and high availability NERC/CIP or similar compliance Scripting/automation (Power Shell, Python)
Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal ML Platform Engineer Location: Remote (US) Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. About the Team Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. The Opportunity As a Principal Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity engineering solutions, set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. What You'll Do Develop Clean Software: Architect, build, and optimize high-performance software systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier application layers - from feature scoping through implementation. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. Required Qualifications Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go. Domain Expertise: Deep working knowledge of distributed systems, cloud infrastructure, and the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. Preferred Qualifications Cloud Architecture: Strong experience designing microservices, working with containerization (Docker, Kubernetes), and implementing modern CI/CD pipelines. Cloud Platforms: Deep experience developing and operating infrastructure across public cloud ecosystems, specifically AWS, Azure, and/or GCP. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. What We Equip You With High-Impact Autonomy: A leadership environment where you will have real ownership over your team's direction, the latitude to make meaningful decisions, and participation in broader Engineering discussions. New Hire Orientation: A robust onboarding experience designed to integrate you smoothly into our technology, culture, and leadership model so you can show up for your team from day one. Continuous Enablement: Access to premier learning resources and dedicated learning time focused on both your continued technical growth and your evolution as an engineering leader. Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $175,000-$325,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent . click apply for full job details
09/30/2026
Full time
Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal ML Platform Engineer Location: Remote (US) Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. About the Team Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. The Opportunity As a Principal Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity engineering solutions, set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. What You'll Do Develop Clean Software: Architect, build, and optimize high-performance software systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier application layers - from feature scoping through implementation. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. Required Qualifications Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go. Domain Expertise: Deep working knowledge of distributed systems, cloud infrastructure, and the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. Preferred Qualifications Cloud Architecture: Strong experience designing microservices, working with containerization (Docker, Kubernetes), and implementing modern CI/CD pipelines. Cloud Platforms: Deep experience developing and operating infrastructure across public cloud ecosystems, specifically AWS, Azure, and/or GCP. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. What We Equip You With High-Impact Autonomy: A leadership environment where you will have real ownership over your team's direction, the latitude to make meaningful decisions, and participation in broader Engineering discussions. New Hire Orientation: A robust onboarding experience designed to integrate you smoothly into our technology, culture, and leadership model so you can show up for your team from day one. Continuous Enablement: Access to premier learning resources and dedicated learning time focused on both your continued technical growth and your evolution as an engineering leader. Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $175,000-$325,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent . click apply for full job details
