- Location
- Gurugram, Haryana
- Workplace
- Hybrid
- Type
- Full-time
- Department
- Engineering
- Seniority
- Manager
- Experience
- 7+ years
- Education
- Master
- Closing date
- Today
- Source
- ApplyToJob
Description
Healthcare SaaS Platform
Location: Gurugram, India (Hybrid) Reports to: CEO
We’re a US-headquartered company serving 270+ healthcare provider organizations. You’d own engineering operations for the platform, working alongside a Technical Lead who owns architecture and code quality. The product is being built against live client commitments on aggressive timelines.
- Own the sprint process end-to-end: planning, execution tracking, release management. Surface risks with data and options before they become misses.
- Build and operate the delivery metrics function: Jira dashboards, velocity tracking, cycle time analysis, commitment vs. completion, defect escape rates. Evaluate and run engineering intelligence tooling (LinearB or equivalent) for DORA-style metrics.
- Serve as the company-side counterweight to an outsourced development vendor. Track delivery status, quality, and resource utilization independently. Hold the vendor accountable with data.
- Own release readiness: regression pass rates, CI pipeline health, deployment checklists, rollback plans. Partner with QA and the Technical Lead on release quality gates.
- Produce concise weekly stakeholder updates. Run cross-functional working sessions with engineering, QA, and operations domain experts.
- Coordinate UAT between the development team and operations specialists who validate product behavior against real credentialing workflows.
- 7–10 years in engineering management, engineering program management, or technical delivery leadership at a software product company
- Experience owning engineering operations for a SaaS product with external paying customers
- Track record of holding outsourced development vendors accountable using metrics: cycle time, velocity, defect rates, resource utilization
- Expert-level Jira operation: dashboards, JQL, automation, sprint configuration, executive-ready reporting
- Working fluency with engineering intelligence tooling (LinearB, Jellyfish, or equivalent) and DORA metrics
- Clear, concise written communication
- Daily use of AI tools (Claude, ChatGPT, Cursor, Copilot) for drafting, summarizing, and accelerating your own output
- Comfortable with US timezone overlap: daily syncs at 5:00 PM IST
- Healthcare domain experience: credentialing, enrollment, licensing, RCM, provider data, or NCQA/CVO workflows
- Enough engineering background to read a PR, follow an architecture discussion, and challenge an estimate
- Experience building an engineering operations practice from scratch
- Experience managing a transition from outsourced to in-house engineering