Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description Team & Role: This role is part of our Experience Team (UX/UI). ServiceNow is transforming how enterprise knowledge is created, delivered, and consumed. We’re moving from a world where large teams of writers produce content manually to one where AI-powered, agentic systems generate, classify, and deliver the right knowledge to the right person at the right moment — across millions of users worldwide. This role sits at the center of that transformation. You will design and build the engineering infrastructure that makes agentic content creation possible at scale: automation pipelines, AI tooling, LLM integrations, and the systems that connect ServiceNow’s knowledge platforms into a unified, intelligent content engine. This is a high-autonomy, high-impact role. You won’t be handed a roadmap — you’ll help define one. If you are energized by building systems that fundamentally change how work gets done, and want to do it at the scale of one of the world’s leading enterprise software companies, this is that role. What you get to do in this role: - Architect and build automation pipelines that replace high-volume, repeatable content tasks — shifting the team from manual production to AI-native delivery. - Design and develop LLM-powered tooling that enables agentic content creation workflows, including prompt libraries, evaluation frameworks, and orchestration systems. - Build and maintain integrations across ServiceNow’s content platforms, knowledge management systems, and AI services — creating the infrastructure for a unified knowledge engine. - Develop MCP server configurations and agentic workflow tooling that extend AI capabilities directly into writer and engineer workflows. - Partner with Digital Technology teams to connect content systems to the broader ServiceNow platform ecosystem, including search, taxonomy, and digital experience surfaces. - Define engineering standards and architectural patterns that scale AI tooling across the team and organization. - Operate as a technical thought leader — shaping strategy, influencing platform decisions, and bringing a point of view on where AI and automation create the most leverage. Qualifications Preferred Qualifications: - Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. - 10+ years of software engineering experience with a strong background in systems development, backend engineering, or platform infrastructure. - Demonstrated experience building production-grade automation pipelines, workflow systems, or AI-powered tooling. - Proficiency in Python and/or JavaScript/Node.js; comfort designing across the full stack. - Experience integrating with APIs, content platforms, knowledge management systems, or enterprise data systems. - Ability to operate with high autonomy — defining scope, setting direction, and delivering end-to-end without a fully paved path. - Strong communication skills with the ability to engage technical and non-technical stakeholders equally well. Basic Qualifications: - Hands-on experience with LLM APIs (Anthropic, OpenAI, or similar), agentic workflow design, or prompt engineering at scale. - Familiarity with MCP (Model Context Protocol) server architecture or AI agent orchestration frameworks. - Experience with content automation, structured content systems (e.g. DITA), or knowledge graph infrastructure. - Background in SaaS or enterprise technology environments. - Experience working with open source tooling ecosystems and developer workflow infrastructure. For positions in this location, we offer a base pay of $199,100 - $348,400, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license. - Employee Type: Regular - Region: AMS - North America and Canada - Work Persona: Flexible or Remote

WHO WE ARE: For enterprises struggling to secure cloud workloads, Aviatrix® offers a single solution for pervasive cloud security. Where current cybersecurity approaches focus on securing entry points to a trusted space, Aviatrix Cloud Native Security Fabric (CNSF) delivers runtime security and enforcement within the cloud application infrastructure itself – closing gaps between existing solutions and helping organizations regain visibility and control. Aviatrix ensures security, cloud, and networking teams are empowering developer velocity, AI, serverless, and what’s next. For more information, visit www.aviatrix.ai. ABOUT THE ROLE: The Aviatrix SRE team is a small but highly skilled global group of Systems Engineers/SREs dedicated to ensuring the reliability, availability, and performance of Aviatrix’s critical systems and services. Our mission is to build and maintain a robust, resilient infrastructure that enables Aviatrix to deliver high-quality services with agility through automation, best practices, and a culture of operational excellence. As a Member of Technical Staff (MTS) Site Reliability Engineer, you’ll be developing your foundational SRE skills while contributing to the reliability and performance of our systems. You’ll work under supervision to implement solutions, learn our infrastructure, and gain hands-on experience with production systems. KEY RESPONSIBILITIES - Kubernetes: Learn to manage basic application deployments, assist with troubleshooting, and support monitoring tasks - Infrastructure as Code: Implement IaC for straightforward provisioning tasks and configuration changes - Automation & Development: Contribute to existing automation tools and frameworks in Golang and Python - Basic System Maintenance: Contribute to system reliability through routine maintenance tasks and monitoring - Implementation Support: Implement well-defined solutions for moderate complexity technical problems - Reliability Engineering: Learn fundamentals of system reliability; contribute to maintaining uptime for well-defined services under guidance - Automation Excellence: Execute basic automation scripts; contribute to existing automation frameworks with supervision - Observability: Implement basic monitoring configurations; learn to read dashboards and interpret common metrics - Incident Management: Participate in incident response with escalation support; document findings and learnings - Performance Engineering: Monitor system performance using established metrics; escalate performance issues appropriately - Collaboration: Participate actively in team meetings; communicate status and blockers effectively QUALIFICATIONS - Experience: 0-3+ years in software engineering, system administration, or related technical roles - Education: BS in Computer Science, Engineering, or related field - Programming: Basic proficiency in at least one programming language (Golang, Python preferred) - Cloud Platforms: Foundational knowledge of cloud platforms (AWS, Azure, GCP) - Linux: Basic Linux system administration skills - Version Control: Experience with Git and code review processes - Communication: Strong communication skills and eagerness to learn - Problem-Solving: Demonstrated ability to solve technical problems independently US Pay Range The annual base salary range for this full-time position is $111,600-$131,300 + benefits + 401(k) match + equity and is bonus eligible. The pay range is determined by the role, work location, job-related skills, level, experience and relevant education. The range displayed is applicable only for new hires for the listed position located in the US. Your Talent Advisor can share more details regarding salary ranges, benefits, and equity for your location during the hiring process. #LI-RACHEL #LI-Remote BENEFITS US: We cover 100% of employee premiums and 88% of dependent(s) premiums for medical, dental and vision coverage, 401(k) match, short and long-term disability, life/AD&D insurance, $1,000/year education reimbursement, and a flexible vacation policy. Outside the US: We offer a comprehensive benefits package which, (subject to regional variations) could include pension, private medical for you and dependents, generous holiday allowance, life assurance, long-term disability, annual wellbeing stipend Your total compensation package will be based on job-related knowledge, education, certifications and location, per our aligned ranges. About Aviatrix  Aviatrix® is the cloud network security company trusted by more than 500 of the world’s leading enterprises. As cloud infrastructures become more complex and costly, the Aviatrix Cloud Network Security platform gives companies back the power, control, security, and simplicity they need to modernize their cloud strategies. Aviatrix is the only secure networking solution built specifically for the cloud, that ensures companies are ready for AI and what’s next. Combined with the Aviatrix Certified Engineer (ACE) Program, the industry’s leading secure multicloud networking certification, Aviatrix unifies cloud, networking, and security teams and unlocks greater potential across any cloud.​ WE WANT TO INCLUDE YOU We embrace the fact that not everyone’s journey took the same route or started at the same place. If your experience doesn’t quite meet the requirements but the opportunity excites you and you believe you could be great, don’t let that hold you back from applying. Tell us what you CAN bring and what makes you special. Aviatrix is a community where everyone's career can grow and we want to help you achieve your goals and be “your best YOU,” however that looks. If you're seeking an opportunity where you can be excited to start work every morning with enthusiastic people, make a real difference and be part of something amazing then let’s talk. We want to get to know you and how we could grow together. Aviatrix, Inc. is an equal opportunity employer and does not make hiring decisions based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. CPRA - California Applicant Privacy Notice

Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description Team & Role: This role is part of our Experience Team (UX/UI). ServiceNow is transforming how enterprise knowledge is created, delivered, and consumed. We’re moving from a world where large teams of writers produce content manually to one where AI-powered, agentic systems generate, classify, and deliver the right knowledge to the right person at the right moment — across millions of users worldwide. This role sits at the center of that transformation. You will design and build the engineering infrastructure that makes agentic content creation possible at scale: automation pipelines, AI tooling, LLM integrations, and the systems that connect ServiceNow’s knowledge platforms into a unified, intelligent content engine. This is a high-autonomy, high-impact role. You won’t be handed a roadmap — you’ll help define one. If you are energized by building systems that fundamentally change how work gets done, and want to do it at the scale of one of the world’s leading enterprise software companies, this is that role. What you get to do in this role: - Architect and build automation pipelines that replace high-volume, repeatable content tasks — shifting the team from manual production to AI-native delivery. - Design and develop LLM-powered tooling that enables agentic content creation workflows, including prompt libraries, evaluation frameworks, and orchestration systems. - Build and maintain integrations across ServiceNow’s content platforms, knowledge management systems, and AI services — creating the infrastructure for a unified knowledge engine. - Develop MCP server configurations and agentic workflow tooling that extend AI capabilities directly into writer and engineer workflows. - Partner with Digital Technology teams to connect content systems to the broader ServiceNow platform ecosystem, including search, taxonomy, and digital experience surfaces. - Define engineering standards and architectural patterns that scale AI tooling across the team and organization. - Operate as a technical thought leader — shaping strategy, influencing platform decisions, and bringing a point of view on where AI and automation create the most leverage. Qualifications Preferred Qualifications: - Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. - 10+ years of software engineering experience with a strong background in systems development, backend engineering, or platform infrastructure. - Demonstrated experience building production-grade automation pipelines, workflow systems, or AI-powered tooling. - Proficiency in Python and/or JavaScript/Node.js; comfort designing across the full stack. - Experience integrating with APIs, content platforms, knowledge management systems, or enterprise data systems. - Ability to operate with high autonomy — defining scope, setting direction, and delivering end-to-end without a fully paved path. - Strong communication skills with the ability to engage technical and non-technical stakeholders equally well. Basic Qualifications: - Hands-on experience with LLM APIs (Anthropic, OpenAI, or similar), agentic workflow design, or prompt engineering at scale. - Familiarity with MCP (Model Context Protocol) server architecture or AI agent orchestration frameworks. - Experience with content automation, structured content systems (e.g. DITA), or knowledge graph infrastructure. - Background in SaaS or enterprise technology environments. - Experience working with open source tooling ecosystems and developer workflow infrastructure. For positions in this location, we offer a base pay of $199,100 - $348,400, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license. - Employee Type: Regular - Region: AMS - North America and Canada - Work Persona: Flexible or Remote

• Provide L2/L3 support for mail services in the region, including incident triage, troubleshooting, and resolution. • Manage mail-related service requests (provisioning, configuration changes, access, routing, and policy enforcement). • Perform root-cause analysis for recurring mail issues and implement corrective/preventative actions. • Execute and validate changes (maintenance, configuration updates, and migrations) following change governance. • Maintain operational documentation, runbooks, and knowledge articles. • Collaborate with identity, network, security, and endpoint teams to resolve cross-domain issues. • Monitor service health and capacity; take proactive measures to prevent incidents. • Support audit and compliance requirements for mail systems (retention, eDiscovery, security controls).