Principal Engineer – Python API Development

skillventory - A Leading Talent Research Firm

Principal Engineer on Enterprise AI/ML Platform team tackling complex ML challenges and delivering scalable solutions. Collaborating with multiple teams to build efficient AI/ML capabilities while mentoring engineers.

Posted 7/1/2026full-timeJersey City • New Jersey, Texas • 🇺🇸 United StatesLead💰 $107,000 - $216,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating production platforms at scale, with a strong focus on machine learning, cloud technologies, and infrastructure optimization. Capable of mentoring engineers and leading incident response efforts while ensuring platform reliability and efficiency.

Highest-signal resume keywords

Python ExpertiseCloud Platform Leadership (AWS)DevOps and CI/CD at ScaleInfrastructure as Code (CloudFormation, Terraform)Platform Reliability Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDistributed SystemsLinux FluencyScriptingPerformance OptimizationGPU UtilizationProduction-Grade ServicesMulti-Environment PromotionGenAI GatewaysSageMaker

Soft Skills

MentoringCollaboration

Tools & Technologies

AWS S3AWS LambdaAWS BatchAWS Step FunctionsAWS EventBridgeAWS CloudWatchAWS SNS/SQSAzureGCPCI/CD Workflows

Industry Keywords

Platform CapabilitiesCost EfficiencyIncident ResponsePost-MortemsCapacity Planning

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsGoogle Cloud PlatformGroovyJavaLinuxPythonTerraform

About the role

Key responsibilities & impact

Tackle the most complex technical challenges involved in delivering machine learning at enterprise scale
Design, build, and evolve reliable, secure, and cost‑efficient platform capabilities
Take a hands‑on role across enterprise repositories
Improve shared services, CI/CD workflows, and infrastructure patterns
Conduct deep technical investigation of performance and scalability issues
Analyze system and application metrics
Optimize GPU utilization, throughput, and resource efficiency across ML workloads
Mentor junior and senior engineers
Partner with Data Scientists to package, scale, and operationalize models
Lead cross‑platform incident response and post‑mortems

Requirements

What you’ll need

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a closely related engineering discipline
8+ years (typically 10+) building and operating production platforms and services at scale
Deep software engineering expertise in Python and distributed systems
A track record of building production‑grade services, libraries, and internal platforms
Linux fluency and scripting are required
Familiarity with Java or Groovy is a plus
Knowledge or experience with GenAI Gateways or LiteLLM a big plus
Cloud platform leadership (AWS) —hands‑on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS
Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities
Exposure to Azure or GCP is beneficial
DevOps and CI/CD at scale
Infrastructure as Code (CloudFormation, Terraform/OpenTofu)
Experience with multi‑environment promotion for ML‑enabled workloads
Experience in platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post‑mortems) for ML serving and data/feature pipelines

Benefits

Comp & perks

comprehensive health care coverage and emotional well-being support
market-leading retirement
generous paid time off and parental leave
charitable giving employee match program
educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career