InfoStride
Website:
infostride.com
Job details:
Experience – 15+ yrs
Location – Noida (Sec- 142)
Shift – 2:30 pm to 11:30 pm
Work Mode – Work from the Office (3 Days from the office and 2 Days from Home)
We’re looking for a strong engineering leader with experience in data platform engineering, data pipelines, data quality & validation, cloud infrastructure, and production operation. The ideal candidate should have experience leading 25+ member engineering teams, driving AI/automation initiatives, working in customer-facing environments, and collaborating with cross-functional and global teams. Healthcare IT experience (EMR, Epic/Cerner, HL7, FHIR, ADT) would be a strong advantage.
Key Responsibilities
- Run the CES implementation engineering team: client onboarding, data ingestion and mapping, validation, and the rest of what engineering owns in getting a health system live
- Help local QA and Analytics team within a matrixed reporting structure (dotted to workstream leaders)
- Build AI and automation into the implementation workflow, covering data mapping, test generation, failure triage, documentation, and reporting. Get the team using it and track what it actually replaces
- Reduce time-to-go-live per client through standardization, reusable templates, and self-service tooling, and report on that number
- Coach managers and senior engineers on technical judgment, execution quality, and communication with stakeholders
- Hire and retain strong engineers in a competitive market, and build a team culture around ownership and customer impact
- Turn company and client priorities into engineering roadmaps with dates and measurable outcomes, and keep short-term delivery pressure from eroding the architecture
- Work closely with Product, Program Management, Data Science, Client Success, Security, and the US engineering team, and give them an accurate read on status and risk
- Represent engineering in architecture reviews, roadmap planning, and leadership meetings
- Act as a senior Qventus leader in the India office
What We're Looking For
- Energizing leader who takes ownership of the culture and deliverables
- Experience leading engineering organizations of roughly 25 or more people, including managers or leads
- Solid background in data platform engineering: pipelines, data quality and validation, cloud infrastructure, and production operations
- Demonstrated experience automating engineering work. We will ask about something specific you built or drove that your team kept using
- Regular hands-on use of AI tools in your own work, with a realistic view of where they help and where they fall short
- Track record delivering in a customer-facing environment with hard deadlines and low tolerance for outages
- Comfortable leading teams that do not report to you directly
- Clear communicator with executives and with senior engineers
Bonus Points For
- Healthcare IT background: EMR integration, Epic or Cerner, HL7 or FHIR, ADT data
- Experience as the senior engineering leader for an India site or another regional office
- Having built self-service tooling that measurably reduced dependencies for your team
- A mix of platform engineering and implementation or professional services engineering experience
Click on Apply to know more.
