Description review

Natera | L3 Software Engineer | Full-Time | Remote, USA | 140 - 160k USD | Genomics Tech

Natera · Full-Time · back to the listing

HR standards

71/100

solid

Title ↔ description

78/100

solid

Reads as

Full-Stack Engineer

98% confident

How others title the same work

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What the listing never says

  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
  • No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity

The listing, marked up

Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.

Natera, the leader in cfDNA testing, is expanding the EHR (Electronic Health Records) engineering team with a Software Engineer (L3) role. The team consists of 9 engineers mostly on the senior side with a heavy focus on interoperability, scalability, resilience and building net new capabilities. We are a hungry group of hackers who value quality, confidence and sensibility.
You'll be joining the team to help level us up to a world class EHR platform. We have a mix of off-the-shelf EHRs and interoperability engines (Epic, Mirth, etc) and greenfield cloud native solutions. We are looking for an engineer who has deep experience both with 0->1 and incremental product improvements. Our tools of choice are often React, Typescript, Postgres but we have a wide variety of cloud native and other applications in the mix.
You'll be helping lead day to day through shipping code, reviewing code, designing applications and systems, building, deploying, releasing. If you're an enthusiastic engineer who's ready to take the next step reach out below!
The usual benefits include unlimited PTO, RSU grants, medical, dental, vision, 401k, bonus, etc. Send your resume via email to astruthers AT natera dot com or reach out on LI https://www.linkedin.com/in/code-lorde/

How this was produced

Highlights are found by rule, not by a model: each one is a phrase matched at a known position, and every note is a template we wrote. The two scores come from a typed-decision model (Jev) that reads the listing against the official role definition and real listings for the same role, and returns probabilities rather than prose — it never writes any of the words on this page, and never chooses what to highlight.

Deterministic penalty applied to the HR score: 8 points (from 79 before penalties). Reviewed 21 Sep 2026.