Venerable · PA-West Chester - Dunwoody Dr

Salary
Posted
Jul 13, 2026
Location
PA-West Chester - Dunwoody Dr
Last confirmed open
Jul 20, 2026

What this job asks for AI summary

A hybrid engineering role on an Agile team focused on building and maintaining machine learning models, micro-services, and web applications, primarily on AWS. Day-to-day work spans the full software lifecycle — from design and development through deployment, monitoring, and support — with particular emphasis on AWS-based ML pipelines using tools such as SageMaker and Step Functions. Suited to an early-to-mid-career engineer with 1–3 years of AI/ML and enterprise application experience, ideally in a regulated industry.

Mid level · 1+ years · National

Must have (12)
AWSSageMakerLambdaRedshiftPythonTensorFlow, PyTorch or scikit-learnC#SQL, PowerShell or JavaScriptDockerGit or GitHubJenkins, Bamboo, Teamcity or Aws CodepipelineSpecFlow or Cucumber
Nice to have (7)
EFSAuroraKafka, Mq or JmsAngular or ReactProtobuf, Thrift or AvroAzureAWS Certified Machine Learning or Aws Certified Solutions Architect

“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

What gives you an edge
Redshift5%SpecFlow6%TensorFlow9%

Rare in this occupation — lead with these, and say what you built with them.

What won't set you apart
SQL62%Docker53%Python51%

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 role is explicitly hybrid (not fully remote); no specific city or metro is named in the posting — Venerable is headquartered in West Des Moines, IA, but the location is not stated in this JD.

SOC classification is a genuine toss-up: the role spans full-stack software development (C#, micro-services, CI/CD) and ML/AI model development (SageMaker, ML libraries). 15-1252 Software Developers was chosen as primary because the JD emphasizes full ALM lifecycle software delivery; 15-2051 Data Scientists is a close runner-up given the ML model development emphasis.

The bachelor's degree is explicitly marked 'preferred' in the JD, so the degree requirement is set to None.

The experience range of 1–3+ years is stated in the Technical Skills section (a requirements-style block), so 1 year is used as the minimum.

The extended list of AWS services (EFS, SNS, SQS, EventBridge, Kinesis, Aurora, DynamoDB, RDS Proxy, Glue, Athena) appears in the Technical Skills section alongside the core required services. The core services (SageMaker, Lambda, EC2, S3, Redshift) are called out explicitly in the Principle Responsibilities as required; the broader list is treated as preferred stack context given the breadth and the junior-to-mid level of the role.

Messaging/serialization technologies (Protobufs, Thrift, Avro, JSON, MQ, JMS, Kafka) and UI frameworks (Angular, React) are introduced with 'Familiarity with' language, marking them as preferred.

AWS certification and NLP/computer vision/reinforcement learning/generative models appear under 'Preferred Qualifications' and are marked accordingly.

Azure is listed as 'a plus' and is marked preferred.

Code profiling/optimization tooling and Kanban/Lean/XP practices are explicitly called out as 'a plus' — omitted from skills as they name no specific tool.

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