ServiceNow is hiring for Software Engineer

Job Details

1. Company: ServiceNow
2. Job Position: Staff Software Engineer
3. Job Location: Hyderabad, Telangana, India
4. Job Category: Engineering, Infrastructure and Operations
5. Job Type: Full-time
6. Work Mode: Flexible
7. Experience: 8+ years
8. Qualification: Relevant software engineering experience; specific educational qualifications are not mentioned in the provided job description.
9. Salary: Estimated ₹45–75 LPA. This is an indicative estimate for an experienced Staff Software Engineer in Hyderabad, not an officially disclosed salary.
10. Job ID: JB0076293
11. Job Posted Date: October 15, 2026

Job Overview

ServiceNow is hiring a Staff Software Engineer in Hyderabad to lead the development of AI-powered products and enterprise software solutions. The selected candidate will guide technical architecture, build applications using large language models (LLMs), and integrate AI agents into software workflows. The role requires strong programming, system design, and technical leadership skills, along with experience in AI-assisted development. The engineer will collaborate with product managers, designers, and engineering teams to deliver reliable, secure, and scalable applications while mentoring other developers and improving software development practices.

Key Responsibilities

1. Lead the design and development of complex software features from architecture to production.
2. Build AI-powered capabilities using LLMs and intelligent workflows.
3. Design and implement AI agent patterns, prompt strategies, and context management systems.
4. Develop evaluation pipelines to measure the performance and reliability of AI applications.
5. Integrate AI tools into coding, testing, code review, debugging, and documentation processes.
6. Measure the effectiveness of AI-assisted software development practices.
7. Work with ServiceNow platform technologies, including Flow Designer and Workflow Studio.
8. Make architectural decisions that improve application performance, scalability, and reliability.
9. Mentor senior and mid-level software engineers.
10. Establish coding standards and improve overall software quality.
11. Improve application monitoring, observability, and production reliability.
12. Collaborate with product managers, UX teams, and engineering leaders.
13. Convert complex and unclear requirements into practical development plans.
14. Manage production defects, release readiness, and quality reviews.
15. Ensure AI systems follow appropriate security, governance, and responsible-use practices.

Eligibility Criteria

1. Candidates must have at least 8 years of software engineering experience.
2. Applicants should demonstrate technical leadership experience at the Staff Engineer level or equivalent.
3. Candidates must have strong programming skills in Java, JavaScript, or another relevant language.
4. Applicants should possess strong system design and software architecture knowledge.
5. Candidates must have hands-on experience building or integrating LLM-based features.
6. Applicants should understand prompt engineering, retrieval, context management, and AI evaluation.
7. Candidates should have knowledge of AI agent architectures, orchestration, and tool usage.
8. Applicants should have practical experience using AI-assisted development tools.
9. Candidates must have strong written and verbal communication skills.
10. Applicants should understand enterprise SaaS platforms, multi-tenant systems, and secure software delivery.
11. Candidates should be comfortable working with multiple engineering and product teams.

Required Skills

1. Strong proficiency in Java, JavaScript, or a related programming language.
2. Software architecture and system design.
3. Large language model (LLM) integration.
4. Prompt engineering and context design.
5. Retrieval techniques and AI evaluation methods.
6. AI agent development and orchestration.
7. Human-in-the-loop controls for AI systems.
8. AI-assisted coding and automated testing.
9. Workflow automation and intelligent application development.
10. Performance optimization, including AI cost and latency management.
11. Enterprise SaaS architecture and multi-tenant systems.
12. Application security and compliance.
13. Production monitoring and observability.
14. Technical leadership, mentoring, and team collaboration.
15. Knowledge of ServiceNow Flow Designer, Workflow Studio, or Decision Management is an advantage.

Why Join ServiceNow?

1. Work on AI-native products and advanced enterprise software solutions.
2. Help shape AI engineering practices across a large engineering organization.
3. Gain exposure to LLMs, AI agents, and intelligent workflow automation.
4. Influence technical architecture and engineering standards.
5. Collaborate with experienced engineers, product teams, and technical leaders.
6. Mentor developers and contribute to their professional growth.
7. Work on scalable enterprise SaaS applications.
8. Contribute to responsible AI practices, security, and governance.
9. Explore opportunities to develop expertise in AI engineering and platform technologies.

Important Links

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