Senior Software Engineer-Engineering Enablement
Jobgether
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Jul 19, 2026
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Jul 21, 2026
What this job asks for AI summary
A senior engineering role focused on building and evolving large-scale cloud-native platforms that underpin data, AI, and machine learning workloads. Day-to-day work spans designing distributed systems and microservices, applying MLOps practices across the full model lifecycle, and setting architectural standards — alongside mentoring engineers and partnering with data science and product teams. Suits an experienced engineer comfortable with both hands-on development and cross-team technical leadership.
Senior level · 8+ years · Remote
“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 3,600 people nationally plausibly meet what this posting asks for (software developers). range 2,150–5,400
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
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 (9)
The JD states 'Bachelor's degree in a related technical field preferred, or equivalent professional experience' — because a degree is only preferred and equivalent experience is explicitly accepted, the degree requirement is set to None.
GCP is listed as the preferred cloud platform ('preferably with GCP') but sits within the hard-requirements block alongside firm language; alternatives (AWS, Azure) are populated because the JD explicitly allows 'equivalent technologies'.
Vertex AI is listed with 'or equivalent technologies' — it is treated as a hard gate on ML platform capability, with the qualifier meaning the specific tool is interchangeable rather than the requirement being optional.
Kafka is listed with 'or similar streaming technologies' — same treatment as Vertex AI: a hard gate on streaming capability, with the specific tool interchangeable.
Git, Jira, and Confluence appear under 'Familiarity with developer collaboration tools such as…' within the requirements block. 'Familiarity with' softens the depth expected but the skills are listed as requirements; they are retained as required given their placement.
Cloud or data engineering certifications are noted as 'a plus' in the requirements section — omitted from the skills list as they are explicitly optional and name no specific technology.
No compensation figures are provided beyond 'competitive compensation package'.
The role is listed via Jobgether on behalf of an unnamed partner company; the actual employer is not disclosed.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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