Senior Software Engineer
Vynca · San Mateo, CA
$160,000–$180,000
Jul 21, 2026
San Mateo, CA
Jul 23, 2026
What this job asks for AI summary
A senior engineering role at a healthcare technology company, focused on designing and building large-scale, event-driven data pipelines, microservices, and cloud-native infrastructure on AWS. The work spans real-time and batch data processing, integration of clinical data standards such as FHIR and HL7, and technical mentorship of other engineers. Best suited to experienced engineers with a strong background in distributed systems and healthcare data.
Senior level · 5+ years · Remote · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 2,050 people nationally plausibly meet what this posting asks for (software developers). range 850–3,050
Applicant volume Light — Few people clear these requirements, so an application that does clear them gets looked at. Worth applying to even if you miss a nice-to-have.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $138,970 (middle half $107,524–$175,762).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (10)
Role is fully remote but restricted to 12 specific US states (AZ, CA, CO, FL, GA, IL, NV, NC, OR, TX, UT, WA) and requires Pacific Time business hours.
The JD states '5-7 years in software engineering' — the overall years minimum is set to 5 (the lower bound of the range).
A Bachelor's degree in CS or related field is listed in the requirements section, but an advanced degree is noted as 'preferred', and no equivalent-experience language is used. However, the degree language ('Bachelor's degree… advanced degree preferred') is common boilerplate in healthcare tech and the JD does not explicitly state it as a hard rejection criterion; the degree requirement is set to Bachelors accordingly.
DataDog and Kibana appear in the 'What you'll do' narrative as examples of observability tooling rather than in a formal requirements block — marked as preferred.
Kafka Streams and Spark Streaming appear in the responsibilities narrative as examples of batch/streaming tools, not in the qualifications section — marked as preferred.
DICOM appears in the qualifications section appended with 'etc.' after the primary FHIR/CCDA/HL7 list, suggesting it is illustrative rather than a hard gate — marked as preferred.
Healthcare compliance frameworks (HIPAA, HITRUST) appear under 'Preferred Qualifications' — marked as preferred.
Redshift, BigQuery, and Snowflake are listed together as interchangeable data warehousing options; Redshift is used as the primary name with BigQuery and Snowflake as alternatives.
Flask and FastAPI are listed as interchangeable framework examples ('Flask/FastAPI'); emitted as one skill with FastAPI as the alternative.
No compensation figures are provided in the posting.
Read the full posting
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