Distinguished Engineer
About The Position
The Distinguished Engineer leads the design, development, and modernization of enterprise workflow experiences. This hands-on technical leadership role draws on expertise in ServiceNow, front-end and product engineering, and process optimization to create scalable, intuitive digital workflow solutions for business users, operations teams, and technology teams across the enterprise. The role partners with product, design, business units, platform teams, enterprise architecture, and other stakeholders to simplify processes and deliver modern workflow-enabled products. It sets enterprise technical direction and standards, leads AI-driven modernization and AI-enabled software development practices, and advances reliable, secure, maintainable solutions. The position also provides technical mentorship and influences enterprise technology decisions, including recommendations for AI investments. The role follows a hybrid work arrangement requiring associates to work in-office three days per week. Candidates must live within a reasonable commuting distance of a posting office unless an accommodation is granted as required by law. Alternate locations may be considered for candidates within commuting distance of an office.
Requirements
- Bachelor's degree in Information Technology, Computer Science, Engineering, or a related field, and at least 15 years of software engineering experience; an equivalent combination of education and experience may be considered.
- Experience leading, designing, implementing, and operating distributed systems and large-scale architectures.
- Experience designing, developing, and maintaining software solutions using Python, Java, or comparable object-oriented programming languages.
- Experience designing and implementing APIs, microservices, and event-driven architectures.
- Experience applying cloud, CI/CD, and DevOps practices.
Nice To Haves
- Experience designing and building user-centered enterprise products such as portals, dashboards, self-service experiences, case management tools, service catalogs, workflow interfaces, and operational applications.
- Experience building workflow-enabled applications using enterprise workflow platforms, automation tools, low-code/no-code platforms, or business process management technologies.
- Experience with ServiceNow capabilities such as workflow automation, App Engine, Flow Designer, Integration Hub, Service Portal, or custom application development.
- Experience implementing enterprise integrations through REST APIs, web services, event-driven integrations, middleware, cloud platforms, and enterprise data services.
- Hands-on experience building prototypes, proofs of concept, reusable UI components, workflow accelerators, reference implementations, and production-quality application components.
- Strong understanding of product engineering practices, including user research, journey mapping, backlog management, experimentation, metrics, telemetry, feedback loops, and iterative delivery.
- Familiarity with AI-enabled workflow automation, virtual agents, intelligent routing, process mining, knowledge management, and productivity-enhancing automation capabilities.
- Hands-on technical leadership in designing, evaluating, prototyping, or delivering enterprise-scale AI, cloud, platform, integration, or distributed systems solutions.
Responsibilities
- Partner with product, design, business units, platform teams, and enterprise architecture to simplify complex processes, improve user experience, and deliver modern workflow-enabled products.
- Architect and deliver scalable, resilient AI solutions using technologies such as agentic systems, large language models, distributed systems, and event-driven architectures.
- Define enterprise-wide technical direction, including architecture patterns, integration standards, and reusable platform capabilities.
- Lead AI-driven modernization of legacy systems through automated code transformation, service decomposition, and continuous optimization.
- Design and implement AI-enabled software development lifecycle practices to improve engineering velocity and quality.
- Establish technical standards, governance frameworks, and best practices for AI systems, including monitoring, evaluation, and responsible AI.
- Collaborate with UX, product management, engineering, operations, architecture, security, compliance, and business stakeholders to deliver reliable, secure, and maintainable product experiences.
- Enable adoption of AI-assisted development and drive continuous improvement in system performance and productivity with engineering teams and stakeholders.
- Modernize legacy workflow tools, forms, portals, manual processes, and fragmented user experiences into streamlined digital products.
- Provide technical leadership and mentorship, influence enterprise technology decisions, and make strategic recommendations for AI investments.
Benefits
- Comprehensive benefits package, subject to eligibility requirements.
- Incentive and recognition programs.
- Equity stock purchase plan.
- 401(k) contribution.
- Merit increases.
- Paid holidays.
- Paid Time Off.
- Incentive bonus programs, unless covered by a collective bargaining agreement.
- Medical insurance.
- Dental insurance.
- Vision insurance.
- Short- and long-term disability benefits.
- 401(k) matching.
- Life insurance.
- Wellness programs.
- Financial education resources.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
