Principal Security Applied Field Engineer

Job Description

The ServiceNow Security Organization (SSO)   

The ServiceNow Security Organization (SSO) delivers world-class, innovative security solutions to reduce risk and protect the company and our customers. We enable our customers to migrate their most sensitive data and workloads to the cloud, accelerating our business so that we are the most trusted SaaS provider. We create an environment where our employees are proud to work and can make a positive impact.  

Job Summary  

The Principal Security Applied Field Engineer is a customer-facing, senior-level role that blends the strategic expertise of a Chief Information Security Officer (CISO) with the technical proficiency of a security engineer. This hybrid position, focuses on deep security expertise while also focusing on the business outcomes a Business Information Security Officer (BISO) would be geared towards, focused on architecting secure, scalable customer workflow solutions on the ServiceNow NOW Platform for clients in heavily regulated industries.   

The role requires deep knowledge of regulatory and audit matters (e.g., GDPR, PCI-DSS, SOX, and FINRA), hands-on experience with platform architecture, and the ability to engage C-level executives to align technical solutions with business objectives. As a trusted advisor, you will lead complex pre-sales engagements, support the secure design of innovative solutions, and ensure compliance with industry standards, driving confidence in our platform’s ability to deliver value.  

Strategic Solution Architecture:   

• Support the design and help architect secure, scalable customer workflow solutions on the ServiceNow Now Platform, tailored to the unique needs of financial services clients.  
• Develop technical roadmaps that align with clients’ business strategies, ensuring seamless integration with existing and future technology landscapes.  
• Define secure data architecture frameworks, including metadata, integration, and security models, to support real-time insights and regulatory compliance.  
• Leverage cloud-based data solutions (e.g., Snowflake, Azure, AWS) to enhance workflow performance and scalability.    

Regulatory and Audit Expertise:   

• Act as a subject matter expert on financial services regulations (e.g., GDPR, PCI-DSS, SOX, FINRA), advising clients on compliance strategies and audit readiness.   
• Implement data governance frameworks, encryption, masking, and auditing techniques to ensure data security, privacy, and regulatory adherence.   
• Conduct data quality audits and develop remediation plans to mitigate risks and ensure compliance with industry standards.  

C-Level Engagement and Thought Leadership:   

• Build and maintain senior executive relationships (e.g., CIOs, CISOs, CFOs, BISOs), articulating the business value of ServiceNow solutions and their impact on top-line revenue.  
• Present strategic and technical content at the CXO level, translating complex technical concepts into business outcomes.  
• Provide thought leadership by challenging clients to rethink workflows, security, and digital transformation strategies, drawing on industry best practices.  

Pre-Sales Technical Leadership:   

• Lead complex pre-sales engagements, collaborating with Solution Specialists and cross-functional teams to deliver proofs of concept (POCs), demos, and RFI/RFP responses.  
• Partner with customer architects and technical leads to design solutions that integrate ServiceNow with enterprise systems (e.g., CRM, ERP, data lakes).  
• Support the broader pre-sales team by sharing insights on ServiceNow best practices and industry-standard approaches to workflow and security challenges.  

Platform and Data Expertise:   

• Advise on the design and architecture workflows using ServiceNow’s AI-powered tools, reusable components, and configurable playbooks to automate processes and enhance productivity.  
• Design and implement ETL/ELT processes to integrate data from diverse sources (e.g., NetSuite, Salesforce, Snowflake) into unified workflows.  
• Optimize platform performance using cloud-native technologies (e.g., Snowflake, Azure Data Factory, Databricks) and big data tools (e.g., Spark, Hadoop).  

Team Collaboration and Mentorship:   

• Collaborate with engineers, product management, architects, and business analysts to deliver end-to-end solutions in an Agile environment.  
• Mentor junior team members, leading technical training sessions to foster skill development and ensure adherence to architectural standards.  
• Contribute to the development of ServiceNow’s global business services by sharing insights and influencing platform strategy.  

Nice to have in Education & Certs

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field; Master’s degree preferred.  
• Relevant certifications (e.g., ServiceNow CSA, CISSP, CISM, AWS Certified Solutions Architect, Google Certified Professional Data Engineer), CKA  are highly desirable.  

Qualifications

Experience:   

• 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. 
• 15+ years of experience in enterprise architecture, solution consulting, or information security, with at least 5 years in the financial services sector.  
• Proven track record in pre-sales, customer-facing roles, delivering complex solutions to C-level stakeholders.  
• Hands-on experience with the ServiceNow Now Platform, including ITSM, Service Portal, and integration development.  
• Expertise in cloud platforms (e.g., AWS, Azure, Snowflake) and data technologies (e.g., Databricks, Spark, Snowflake schemas).  
• Deep understanding of regulatory and audit requirements in financial services (e.g., GDPR, PCI-DSS, SOX, FINRA, SEC Rule 17a-4, CDMC).  

Technical Skills:   

• Proficiency in programming languages (e.g., Python, Java, SQL) and data tools (e.g., Tableau, Power BI, Talend).  
• Strong knowledge of ETL/ELT processes, data modeling (e.g., star schemas, snowflake schemas), and data warehousing.  
• Experience with big data technologies (e.g., Hadoop, Spark, Cassandra) and cloud-native architectures.  
• Familiarity with security practices, including encryption, data masking, and identity management.  
• Familiarity with networking capabilities including CSP networking technologies (eg. Direct Connect, Private Link, Security Groups etc…), DNS etc… 
• Familiarity with Kubernetes security constructs, including network segmentation, service mesh, access control, and secure configuration. Additional expertise should include pod security policies, RBAC, secrets management, runtime monitoring, image vulnerability scanning, audit logging, and securing API server and etc.. 

Soft Skills:   

• Exceptional communication and presentation skills, with the ability to influence senior executives and technical teams.  
• Strong leadership and mentoring abilities, with experience managing cross-functional teams in Agile environments.  
• Strategic thinking and problem-solving skills, with a focus on aligning technical solutions with business goals.  
• Ability to manage multiple projects, prioritize workloads, and deliver results under tight deadlines.  

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