Staff Software Engineer – Integrations (Flow by ServiceNow)
ServiceNow · Hyderabad
| Company | ServiceNow |
|---|---|
| Role | Staff Software Engineer – Integrations (Flow by ServiceNow) |
| Location | Hyderabad |
| Work mode | On-site |
| Experience | 6+ years |
| Job type | Full-time |
About this job
ServiceNow is hiring a Staff Software Engineer in Hyderabad for the Integrations team of Flow, a standalone conversational AI service desk built as a new company inside ServiceNow. Flow answers employee questions in Slack, Teams, email or the browser and runs automations for them.
This team owns how Flow connects to identity, device, ticketing, document and chat systems, while keeping each source's permissions intact. Integrations are generated by a pipeline rather than written by hand, and agentic AI coding is the team's normal way of working.
Eligibility
- 8+ years of software engineering with strong system and API design
- Hands-on experience building third-party integrations used by real customers
- Deep understanding of webhooks, rate limits, pagination, sync and deletes
- Strong judgement on least-privilege access, secrets and tenant isolation
- Current, hands-on use of AI-assisted and agentic development
Skills required
What you will do
- Build the pipeline that generates connectors from vendor specs
- Design tool actions that an AI model can choose and call safely
- Mirror source permissions and detect deletes reliably
- Write skills and guardrails that let coding agents do integration work
- Lead through architecture decisions, code review and mentoring
How to apply
- Open the official ServiceNow job page with the Apply button and submit your application there.
- Tailor your resume to integrations you built at scale, the API contracts you owned and how you used AI in development.
Before the interview, prepare:
- Integration design: OAuth, webhooks, pagination and incremental sync
- Permission mirroring: keeping source access rules in a downstream system
- API versioning: stable IDs, deprecation and migrations without breakage
- LLM tool calling: naming, schemas and testing whether a model picks the right action
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