• Hands-on, technical project engineer with the ability to architect and implement technical and security solutions as well as transition work plans for client startups and existing client infrastructures • Build out client infrastructures which would include cloud-based SaaS solutions, virtual servers, networking equipment, desktops, laptops, and other common office technology • Perform cloud and infrastructure assessments with the ability to make recommendations to enhance our service offering and add value to clients • Continuously improve process and efficiencies of implementation and integration of new and existing technologies by developing automation or utilizing known toolsets • Create and execute technical work plans to meet project deadlines • Ability to proactively work cross-functionally to build relationships and rapport amongst highly technical and non-technical co-workers and clients • Participate in research, design, and testing of new and existing technologies to add value to client business objectives • Provide technical escalation and act as a subject matter expert for existing Project Engineers and clients while in the project • Work with Project Managers and provide project updates on a consistent basis to various stakeholders about strategy, adjustments, and progress • Help cross-train, upskill, coach, and mentor engineers and interns • Attend client-facing meetings

• Co-own our data distribution architecture and its evolution with peer Principal Data Engineers • Generously share your experience to help your peers develop and grow • Interpret product needs, requirements and enterprise policies into project requirements • Be hands on, do what you expect others to do • Help delivery teams implement your project requirements, focusing on automation and maximising reuse, quality and value • Advocate for our architecture and solutions, demonstrating technical principles and business value and constantly seek feedback • Assist with recruiting activities • Keep abreast of emerging trends and technologies in cloud data distribution and operation, to form and disseminate new insights

ZigZag is looking for a Java Engineer to join our team! About our client Our client is an established fintech company building the next generation of payments solutions. Our Tech Delivery Team owns our payment platform end-to-end, including critical backend systems that process high-volume, low-latency transactions securely and reliably. We’re currently looking for an experienced Java Engineer to help build, maintain, and evolve the core of our payment processing systems. About the Role As a Java Engineer in the Tech Delivery Team, you’ll work on developing and maintaining the core services responsible for card and PayTo payment authorisation and processing. You’ll be part of a cross-functional team focused on scalability, security, and performance. Responsibilities - Design, develop, and maintain Java-based applications. - Write clean, maintainable, and testable code following best practices. - Participate in code reviews and ensure code quality. - Troubleshoot and debug issues in existing software. - Work on improving performance, scalability, and reliability of our client's services. - Contribute to the continuous improvement of software development processes. - Stay up-to-date with the latest Java technologies and best practices. Qualifications - Min 5 years of professional experience in backend development with Java. - Experience building distributed systems and working on high-throughput backend services. - Strong understanding of microservices architecture and RESTful APIs. - Solid knowledge of relational databases (e.g., PostgreSQL, MySQL) and NoSQL systems. - Experience with message brokers (Kafka, EventBridge, etc.) is a plus. - Familiarity with CI/CD practices and tools (e.g., BuildKite, etc). - Familiarity with AWS. - Strong problem-solving skills. - Ability to work collaboratively in a team. ZigZag is committed to building a diverse, inclusive, and equitable workplace. We believe that talent knows no borders, and we welcome individuals from all backgrounds to help us shape the future of work. Guided by transparency and agility, we foster an environment where everyone is valued and empowered to thrive. By submitting this application, you acknowledge that you have read and agree with the company’s Privacy Policy.

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