Staff Software Engineer, MDLC at Domino Data Lab
$200,000–$250,000from the description
Jul 25, 2026
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Jul 26, 2026
What this job asks for AI summary
A backend engineering role focused on building and extending an enterprise machine learning platform. The work centers on multi-agent workflow infrastructure, an extensions framework for custom modules, and high-throughput LLM inference serving. The role suits engineers with strong distributed systems and API development experience who are also familiar with ML workflows, cloud environments, and container technologies.
Senior level · 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 9,700 people nationally plausibly meet what this posting asks for (software developers). range 5,800–14,600
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). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 29, 2026. It is a model, not a headcount.
Why we read it this way (7)
The job title is simply a role on the 'Model Development Lifecycle Team' with no seniority level stated; advertised seniority is Unspecified. However, the scope — owning inference infrastructure for LLMs at enterprise scale, multi-agent workflows, and an extensions framework — combined with the $200K–$250K compensation range supports a Senior classification.
Back-end language requirement lists Python, Java, Scala, or Go as interchangeable options; Python is used as the primary name with the others captured as alternatives.
Cloud platform proficiency (AWS/Azure/GCP) is stated under a 'Cloud Platforms' heading with firm language ('Proficiency with'); AWS is the primary name with Azure and GCP as alternatives.
Distributed computing frameworks (Apache Spark, Azure ML, SageMaker) are explicitly called 'a plus' and are marked preferred accordingly.
Ray is mentioned in the 'What we are building' narrative section as part of the platform's tooling context, not as a candidate requirement, so it is marked preferred.
No minimum years of experience or degree requirement is stated anywhere in the posting.
The role is tagged #LI-Remote and the compensation range is US-based; location is fully remote within the US.
Read the full posting
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