Remote Solutions Engineer for AI Prenatal Care Deployments

Sonio

Boston (MA)

On-site

USD 108,000 - 132,000

Full time

7 days ago
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Benefits offered by this job

Health Insurance (Medical plan, vision
401(k) - employer match
Life Insurance
Parental Policy
20 PTO + 1 week off during holidays
Offices in Boston (HQ)
Flexible hours & remote policies
Commuter Benefits
Annual offsite in France
Coaching & professional development

Job summary

Sonio is seeking a Solution Engineer on the East Coast (Boston) to turn signed contracts into live deployments. You will integrate new customers, architect secure VPN tunnels and SSO, and migrate imaging data to our cloud. You will also provide ongoing support and scale internal tooling.

The role blends deep technical work with strong client interaction, requiring 3–5 years in medical data environments and solid SQL experience.

Qualifications

  • 3-5 years of experience with HL7, DICOM and SQL (mandatory); Python is a plus.
  • Networking and cloud knowledge, VPN experience and AWS familiarity; SaaS and EHR implementations a plus.
  • Strong customer-facing communication to demystify complex tech for non-technical clients.

Responsibilities

  • Own the integration of new clients from discovery to go-live.
  • Connect clients securely: architect VPN tunnels and design enterprise SSO solutions.
  • Migrate high-volume medical imaging data to the Sonio cloud and manage critical cutovers (EHR).
  • Provide L3 support and monitoring with Datadog; perform data repairs via SQL and APIs.

Skills

SQL
Customer-facing skills
Python (nice to have)
Network & Cloud knowledge
VPN knowledge

Tools

VPN
AWS
EHR implementations

Job description

Sonio is seeking a Solution Engineer on the East Coast (Boston) to turn signed contracts into live deployments. You will integrate new customers, architect secure VPN tunnels and SSO, and migrate imaging data to our cloud. You will also provide ongoing support and scale internal tooling.

The role blends deep technical work with strong client interaction, requiring 3–5 years in medical data environments and solid SQL experience.

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