Staff Software Engineer _ UI Heavy Fullstack

📍 Job Overview

Job Title: Staff Software Engineer - UI Heavy Fullstack

Company: ServiceNow

Location: Bangalore, Karnataka, India

Job Type: Full-time

Category: Software Engineering / Platform Engineering

Date Posted: 2026-02-04

Experience Level: 9+ years (Staff Level)

Remote Status: On-site (Flexible Work Persona)

🚀 Role Summary

• Develop and maintain highly interactive, scalable applications within the AI Agents platform, focusing on both front-end and back-end development.

• Design and implement robust tools, libraries, and frameworks to empower other developers and enhance platform capabilities.

• Drive innovation by applying new technologies, particularly in Generative AI and Prompt Engineering, to improve platform functionality and user experience.

• Collaborate closely with cross-functional teams to define, develop, and deploy AI-driven solutions, navigating complex Java, JavaScript, and Kubernetes application architectures.

• Contribute to the strategic evolution of ServiceNow's AI Agents platform, ensuring it remains at the forefront of automation and intelligent decision-making.

📝 Enhancement Note: The role is for a "Staff Software Engineer" with a "UI Heavy Fullstack" focus, indicating a senior individual contributor role requiring deep expertise across the full stack, with a particular emphasis on user interface development. The "AI Agents team" context suggests a focus on building AI/ML-powered features and platforms for automation. The location is specific to Bangalore, India, and the work persona is "Flexible" with an on-site expectation, implying a hybrid or office-based model.

📈 Primary Responsibilities

• Architect, design, and implement scalable, high-performance interactive applications with a strong emphasis on UI/UX best practices.

• Develop and maintain robust backend services and APIs using Java, Python, and associated frameworks (e.g., Spring, Hibernate).

• Create and optimize frontend components and applications using modern JavaScript frameworks like React, AngularJS, Vue, or similar.

• Design, develop, and maintain microservices-based applications deployed on Kubernetes, ensuring scalability, reliability, and efficient deployment.

• Integrate Generative AI and Prompt Engineering techniques to enhance platform capabilities and deliver intelligent agent solutions.

• Contribute to the continuous improvement of platform functionality by evaluating and applying new technologies and innovations.

• Develop and maintain reusable libraries, tools, and frameworks that support other development teams and streamline the development lifecycle.

• Implement and advocate for Test-Driven Development (TDD) practices using frameworks such as Jest, TestCafe, Cypress, Mocha, or Selenium.

• Optimize JVM performance, including profiling, tuning, and garbage collection for backend services.

• Work within a DevOps environment, contributing to CI/CD pipelines and infrastructure management.

• Collaborate with Product Management and other engineering teams to define technical requirements and roadmaps for AI-powered features.

• Troubleshoot and resolve complex technical issues across the full stack, from database to UI.

📝 Enhancement Note: Based on the "Staff" level and "UI Heavy Fullstack" designation, responsibilities are inferred to include architectural design, technical leadership, mentoring junior engineers, and driving complex feature development. The emphasis on "building new products that use AI/ML" and "Generative AI & Prompt Engineering" points to significant contributions in cutting-edge AI development.

🎓 Skills & Qualifications

Education:

Experience:

• 9+ years of professional software industry experience.

• Extensive experience in designing and implementing highly interactive and high-volume applications.

• Proven track record of building new products that leverage AI/ML technologies.

• Significant experience with distributed systems design and development.

• Experience working within a DevOps environment.

Required Skills:

• Backend Expertise:

  • Java, Python, Spring, Hibernate, Junit, REST, AJAX, JSON.
  • Deep understanding of JVM performance testing, optimization, and garbage collection.
  • Relational databases and SQL.

• Frontend Expertise:

  • Solid JavaScript experience with modern frameworks such as React, AngularJS, Cycle.js, or Vue.
  • HTML, CSS, and associated frontend frameworks.
  • Competency in design, usability, cross-browser compatibility, and accessibility.

• Cloud & DevOps:

  • Experience designing, developing, and maintaining microservices-based applications on Kubernetes.
  • Experience working in a DevOps environment.

• AI/ML Focus:

  • Experience with Generative AI & Prompt Engineering.
  • Experience in building new products that use AI/ML.

• General:

  • Advanced understanding of software design, development, testing, and problem-solving.

Preferred Skills:

• Software development experience on the ServiceNow platform.

• Exposure to modern reusable theming practices (e.g., Sass, CSS-in-JS, styled-components).

• Experience in Test-Driven Development (TDD) with Jest, TestCafe, Cypress, Mocha, or Selenium.

• Experience with functional programming, stateless architectures, and Algebraic Data Types (ADTs).

• Experience with caching systems like Redis or Memcached.

📝 Enhancement Note: The "Staff" level implies a need for deep expertise across multiple domains, hence the extensive list of required backend and frontend technologies. The "UI Heavy" aspect elevates the importance of frontend frameworks and UI/UX principles. The explicit mention of "Generative AI & Prompt Engineering" and "building new products that use AI/ML" are key indicators of the expected technical focus. The mention of ServiceNow platform experience as a "huge plus" suggests it's a strong differentiator but not strictly mandatory for initial application.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase of complex, user-facing applications demonstrating mastery of UI/UX principles and responsiveness across devices.

• Examples of backend services and APIs, illustrating proficiency in building scalable and reliable systems with Java/Python.

• Demonstrations of microservices architecture and deployment on containerization platforms like Kubernetes.

• Case studies detailing the integration of AI/ML capabilities, particularly Generative AI, into functional applications or platforms.

Process Documentation:

• Documented examples of how you've applied TDD principles and utilized relevant testing frameworks.

• Case studies describing the optimization of JVM performance or database queries for high-volume applications.

• Examples of contributions to DevOps workflows, CI/CD pipelines, or infrastructure-as-code practices.

• Demonstrations of problem-solving in complex distributed systems or microservices environments.

• Evidence of contributing to or leading the development of reusable libraries, tools, or frameworks.

📝 Enhancement Note: For a Staff-level engineer, a portfolio is crucial. It should not only showcase technical skills but also demonstrate architectural thinking, problem-solving abilities, and impact. Emphasis should be placed on projects that involve significant complexity, scalability, and innovation, particularly in AI/ML and full-stack development.

💵 Compensation & Benefits

Salary Range:

• Estimated Range: ₹35,00,000 - ₹60,00,000 per annum (INR).

• Explanation: This estimate is based on industry benchmarks for Staff Software Engineers with 9+ years of experience in major tech hubs in India like Bangalore. It considers the seniority of the role, the high demand for full-stack and AI/ML expertise, and ServiceNow's market position. Actual compensation will be determined by experience, skills, and interview performance.

Benefits:

• Comprehensive health insurance (medical, dental, vision).

• Generous paid time off (PTO), including vacation, sick leave, and public holidays.

• Retirement savings plan (e.g., Provident Fund, with company contribution).

• Stock options or Restricted Stock Units (RSUs) as part of the compensation package.

• Professional development opportunities, including training, certifications, and conference attendance.

• Parental leave policies.

• Employee Assistance Program (EAP) for mental and emotional well-being.

• Access to wellness programs and resources.

• Flexible work arrangements (as per the "Flexible" work persona).

Working Hours:

• Standard full-time hours, typically 40 hours per week.

• The "Flexible" work persona suggests potential for some flexibility in start/end times, subject to team and project needs and manager approval. Adherence to core working hours for team collaboration will be expected.

📝 Enhancement Note: Salary is estimated based on typical compensation for Staff Software Engineers in Bangalore, India, considering the specified experience level and the company's standing. Benefits are generalized for a large tech company like ServiceNow.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology / Software as a Service (SaaS) / Enterprise Cloud Computing. ServiceNow is a leader in digital workflow automation, providing a cloud-based platform that helps enterprises manage digital workflows for IT, employee, and customer experiences.

Company Size: Large Enterprise (over 10,000 employees globally). ServiceNow is a publicly traded company with a significant global presence.

Founded: 2004. ServiceNow has a history of innovation and growth, evolving from its origins to become a market leader in enterprise workflow automation.

Team Structure:

• The AI Agents team is part of the broader Platform Engineering division.

• Likely composed of senior software engineers, AI/ML specialists, product managers, and potentially UX designers.

• Operates with a degree of autonomy within Platform Engineering, focusing on cutting-edge AI solutions.

Methodology:

• Agile Development: Likely follows Agile methodologies (Scrum, Kanban) for iterative development and rapid response to changing requirements.

• DevOps Culture: Strong emphasis on collaboration between development and operations, continuous integration, continuous delivery (CI/CD), and automation.

• Data-Driven Decision Making: Utilization of data analytics to inform product development, performance monitoring, and strategic decisions.

• Innovation & Research: Continuous exploration and integration of the latest advancements in AI, ML, and software engineering practices.

Company Website: https://www.servicenow.com/

📝 Enhancement Note: ServiceNow is known for its focus on digital transformation and workflow automation. The "AI Agents team" context implies a forward-thinking and innovative environment, likely characterized by rapid iteration and a strong engineering culture. The company's large size suggests structured processes but also opportunities for impact within specialized teams.

📈 Career & Growth Analysis

Operations Career Level: Staff Software Engineer (Senior Individual Contributor). This level is characterized by deep technical expertise, the ability to lead complex projects, mentor junior engineers, and influence technical direction within a team or across multiple teams. It's a critical role for driving technical innovation and execution.

Reporting Structure:

• Typically reports to an Engineering Manager or Director of Engineering within the Platform Engineering division.

• Will likely work closely with Product Managers, Architects, and other senior engineers.

Operations Impact:

• The role directly contributes to the development of ServiceNow's AI-powered platform, which is central to the company's strategy and value proposition.

• Impact is measured by the successful delivery of scalable, high-quality AI features that enhance customer workflows, drive efficiency, and improve user experience.

Growth Opportunities:

• Technical Specialization: Deepen expertise in AI/ML, Generative AI, distributed systems, or specific frontend/backend technologies.

• Technical Leadership: Transition into Principal Engineer, Architect roles, or lead technical initiatives across multiple teams.

• Management Track: Potential to move into Engineering Management roles, leading teams and projects.

• Cross-Functional Exposure: Gain experience working on different product areas or collaborating with strategic partners.

• Mentorship: Formal or informal opportunities to mentor junior engineers, guiding their technical and career development.

📝 Enhancement Note: The "Staff" title signifies a high level of technical proficiency and responsibility. Growth opportunities would typically involve deepening technical expertise, taking on more architectural responsibilities, or moving into leadership roles, either technical or managerial. The AI focus presents unique growth paths in a rapidly evolving field.

🌐 Work Environment

Office Type: The "Flexible" work persona suggests a hybrid model, likely involving a mix of in-office and remote work. ServiceNow emphasizes its "new world of work" approach, balancing flexibility with the need for in-person collaboration. The Bangalore office is located in a prominent business park (Embassy Golf Links Business Park, Domlur).

Office Location(s):

• Primary: Pine Valley 1st Floor, Survey No. 2/4 & 4, Off Intermediate Ring Rd Embassy Golf Links Business Park, Domlur, Bangalore, Karnataka, India.

Workspace Context:

• Collaborative Spaces: Offices are designed to foster collaboration, with meeting rooms, breakout areas, and open workspaces.

• Technology Infrastructure: Access to robust IT infrastructure, high-speed internet, and modern development tools and hardware.

• Team Interaction: Opportunities for frequent interaction with team members, engineering leaders, and cross-functional stakeholders, both in person and virtually.

• Focus Time: The hybrid nature and "Flexible" persona imply a balance between collaborative sessions and dedicated time for focused coding and development.

Work Schedule:

• Standard full-time hours (approx. 40 hours/week).

• The "Flexible" persona allows for some degree of autonomy in managing work hours to balance personal needs with team commitments and project deadlines. Core hours for essential team meetings and collaborations will likely be established.

📝 Enhancement Note: The "Flexible" work persona is key here. It indicates a modern approach to work, emphasizing trust and autonomy, but with a clear understanding that on-site presence will be required for specific activities. The Bangalore office location is in a prime business district.

📄 Application & Portfolio Review Process

Interview Process:

1. Initial Screening: HR or Recruiter call to assess basic qualifications, experience alignment, and cultural fit.

2. Technical Screening: Online coding assessment or a technical phone interview focusing on core programming concepts, data structures, algorithms, and potentially system design fundamentals.

3. On-site/Virtual Loop (Multiple Rounds):

• Coding Interviews: In-depth coding challenges focusing on full-stack development, UI implementation, and problem-solving.
• System Design Interview: Assessing the ability to design scalable, resilient, and performant systems, likely with an AI/ML component.
• Behavioral Interview: Evaluating soft skills, collaboration, leadership potential, and alignment with ServiceNow's values. Questions will probe past experiences related to problem-solving, teamwork, and handling challenges.
• AI/ML Specific Interview: Focused discussion on Generative AI, Prompt Engineering, and experience building AI-powered products.
• Portfolio Review/Discussion: A dedicated session to walk through selected projects from your portfolio, explaining technical decisions, challenges, and outcomes.

1. Hiring Manager Interview: Final discussion with the hiring manager to assess overall fit, career aspirations, and role expectations.

Portfolio Review Tips:

• Curate Strategically: Select 2-3 of your most impactful projects that best showcase your full-stack capabilities, UI expertise, and AI/ML integration experience.

• Highlight Complexity & Impact: Focus on projects that demonstrate significant technical challenges, scalability requirements, and a clear positive impact (e.g., improved user experience, efficiency gains, new functionality).

• Explain Your Role: Clearly articulate your specific contributions, especially in team projects. For a Staff role, emphasize decision-making and leadership aspects.

• Structure Your Narrative: For each project, explain the problem statement, your approach/architecture, key technical decisions and trade-offs, the technologies used, and the measurable outcomes.

• Prepare for Deep Dives: Be ready to discuss specific lines of code, architectural choices, and challenges encountered during development.

• AI/ML Focus: Explicitly detail how AI/ML was integrated, the specific techniques used (e.g., prompt engineering), and the benefits derived.

• ServiceNow Relevance (Optional but Recommended): If you have experience with ServiceNow, highlight it. If not, draw parallels between your experience and the company's mission.

Challenge Preparation:

• Coding: Practice algorithms, data structures, and common UI patterns. Be comfortable explaining your thought process live.

• System Design: Study common system design principles (scalability, availability, consistency, latency). Prepare to design systems involving AI/ML components, microservices, and databases.

• Behavioral: Prepare STAR method (Situation, Task, Action, Result) responses for common questions about teamwork, conflict resolution, failure, and success.

• AI/ML: Refresh knowledge on Generative AI concepts, large language models (LLMs), prompt engineering strategies, and common AI/ML integration patterns.

📝 Enhancement Note: The interview process for a Staff-level engineer will be rigorous, involving multiple technical rounds. A strong portfolio and the ability to articulate technical decisions and impact are critical. The emphasis on AI/ML requires specific preparation in that domain.

🛠 Tools & Technology Stack

Primary Tools:

• Languages: Java, JavaScript (ES6+), Python.

• Frontend Frameworks: React, AngularJS, Vue.js (or similar modern frameworks).

• Backend Frameworks: Spring, Hibernate.

• Databases: Relational Databases (SQL), potentially NoSQL databases.

• Containerization & Orchestration: Kubernetes, Docker.

• DevOps & CI/CD: Jenkins, GitLab CI, CircleCI, or similar.

• Version Control: Git.

Analytics & Reporting:

• Tools for monitoring application performance and user behavior (specific tools may vary, but concepts like APM, logging, and analytics platforms are relevant).

CRM & Automation:

• While this role is platform engineering, understanding how applications interact with CRM systems (like ServiceNow's own platform) and workflow automation tools is beneficial.

AI/ML Specific:

• Familiarity with Generative AI models and APIs.

• Prompt Engineering best practices and tools.

• Potentially libraries like TensorFlow, PyTorch, or cloud-based AI services (AWS SageMaker, Azure ML, Google AI Platform).

📝 Enhancement Note: This list covers the core technologies mentioned in the job description. A Staff Engineer is expected to be proficient in multiple areas, with deep expertise in at least one. The emphasis on Kubernetes, microservices, and AI/ML integration is notable.

👥 Team Culture & Values

Operations Values:

• Innovation: Encouraging new ideas and pushing technological boundaries, especially in AI and automation.

• Collaboration: Fostering a team environment where knowledge is shared, and collective problem-solving is prioritized.

• Excellence: Striving for high-quality code, robust architecture, and exceptional user experiences.

• Customer Focus: Building solutions that directly address customer needs and improve their workflows.

• Continuous Improvement: Embracing feedback, learning from mistakes, and constantly seeking ways to optimize processes and products.

Collaboration Style:

• Cross-Functional: Working closely with Product Management, UX Design, and other engineering teams to deliver integrated solutions.

• Open Communication: Encouraging transparent discussions, constructive feedback, and proactive problem-solving.

• Agile & Iterative: Embracing iterative development cycles, frequent feedback loops, and adaptability to changing requirements.

• Knowledge Sharing: Actively participating in code reviews, design discussions, and technical presentations to share expertise.

📝 Enhancement Note: ServiceNow, as a large tech company, likely values a culture of innovation, customer-centricity, and high performance. The AI Agents team, being at the forefront of their AI strategy, would probably emphasize cutting-edge development and collaborative problem-solving.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Staying current with the fast-paced advancements in Generative AI and ensuring the platform remains competitive and relevant.

• Scalability of AI Models: Designing and implementing systems that can efficiently handle the computational demands of large AI models and high user loads.

• Integrating AI into Existing Workflows: Seamlessly embedding AI capabilities into complex enterprise workflows without disrupting existing processes or user experience.

• Balancing Innovation with Stability: Introducing cutting-edge AI features while maintaining the reliability and stability of a critical enterprise platform.

• Cross-Team Dependencies: Navigating complex interdependencies with other engineering teams and platform components.

Learning & Development Opportunities:

• Cutting-edge AI/ML Training: Access to resources and training focused on Generative AI, LLMs, and advanced ML techniques.

• Platform Architecture Deep Dives: Opportunities to gain in-depth knowledge of ServiceNow's core platform architecture and its evolution.

• Leadership Development: Potential for formal leadership training and opportunities to mentor junior engineers.

• Industry Conferences & Certifications: Support for attending relevant tech conferences and obtaining industry certifications.

• Exposure to Diverse Technologies: Working with a broad stack of modern technologies, including advanced frontend, backend, and cloud-native solutions.

📝 Enhancement Note: The challenges are directly tied to the role's focus on AI and platform development. Growth opportunities are framed around deepening technical expertise, expanding into leadership, and staying at the forefront of technology.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex distributed system you designed. What were the key trade-offs you made?" (Focus on scalability, reliability, and AI integration).

• "Walk me through a project where you integrated Generative AI or ML. What was your role in prompt engineering or model selection?" (Highlight your specific contributions and technical decisions).

• "How do you approach building highly interactive UIs that need to scale? What are your favorite frontend frameworks and why?" (Demonstrate depth in frontend development and understanding of performance).

• "Describe a time you had to optimize the performance of a backend application. What tools and techniques did you use?" (Showcase JVM tuning, database optimization, or caching strategies).

Company & Culture Questions:

• "Why are you interested in ServiceNow and this specific role on the AI Agents team?" (Connect your skills and career goals to ServiceNow's mission and the team's focus).

• "How do you stay updated with the latest advancements in AI and software engineering?" (Show passion for continuous learning).

• "Describe a situation where you had to collaborate with a difficult stakeholder or team member. How did you resolve it?" (Assess communication and interpersonal skills).

Portfolio Presentation Strategy:

• Choose Wisely: Select 2-3 projects that best represent your full-stack, UI-heavy, and AI/ML capabilities.

• Tell a Story: For each project, frame it as a narrative: problem, solution, your role, technical details, challenges, and quantifiable results.

• Focus on Impact: Quantify achievements whenever possible (e.g., "improved load times by 30%", "enabled new feature X that increased user engagement by Y%").

• Be Ready for Deep Dives: Prepare to discuss specific architectural decisions, code snippets, and the rationale behind your technology choices.

• Showcase AI Integration: Clearly articulate the AI/ML components, prompt engineering efforts, and their impact on the project's success.

📝 Enhancement Note: Interview preparation should focus on demonstrating technical depth, architectural thinking, problem-solving skills, and a clear understanding of AI/ML concepts relevant to the role. The portfolio presentation is a critical component for a Staff-level engineer.

📌 Application Steps

To apply for this Staff Software Engineer position:

• Visit the ServiceNow careers portal via the provided job URL and submit your application through their online system.

• Tailor Your Resume: Ensure your resume highlights your 9+ years of experience, specific expertise in Java, JavaScript (with React/AngularJS/Vue), Python, Kubernetes, microservices, and any experience with Generative AI or AI/ML product development. Quantify achievements where possible.

• Prepare Your Portfolio: Select 2-3 key projects that showcase your full-stack capabilities, UI-heavy development, and AI/ML integration. Be ready to articulate your role, technical decisions, challenges, and outcomes clearly.

• Research ServiceNow & the AI Agents Team: Understand ServiceNow's platform, its market position, and the team's focus on AI-driven automation. This will help you tailor your responses during interviews and demonstrate genuine interest.

• Practice Technical Concepts: Brush up on data structures, algorithms, system design principles, and specific technologies mentioned (Java, JavaScript frameworks, Kubernetes, AI/ML concepts).

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.