Associate Platform Engineer / AWS / Python

Kelly Services Inc.
Charlotte, NC, United States
27 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$80,000.0 - $120,000.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Cloud Computing Program Optimization System Configuration Software Debugging Distributed Systems Amazon DynamoDB Github
+22 more
Python (Programming Language) Log Analysis NoSQL Object-Oriented Software Development Next.js Runbook Software Engineering TypeScript Web Services ReactJS Large Language Models Backend Cloudformation Machine Learning Operations Front End Software Development Functional Programming Cloudwatch Api Gateway Restful APIs Amazon Simple Queue Service (SQS) Terraform Serverless Computing

Job description

This Charlotte, NC-based opportunity is for a full-time Associate Platform Engineer working onsite with a fast-growing organization building enterprise-grade AI solutions. This role sits at the intersection of cloud infrastructure, backend engineering, and client delivery, leveraging a modern stack centered around Python and AWS (Lambda, S3, SQS, DynamoDB, API Gateway, EC2) alongside React/TypeScript on the frontend. The position blends hands-on engineering with client-facing deployment support, offering exposure to real-world production systems at scale., * 50% Cloud Infrastructure & Platform (AWS, serverless architecture, system operations)

  • 30% Backend / Full Stack Development (Python, APIs, React-based interfaces)
  • 20% Debugging, Troubleshooting & Production Support

Daily Responsibilities

  • 40% Internal product development, enhancements, and R&D initiatives
  • 40% Client deployment support, delivery, and forward engineering collaboration
  • 20% Cloud infrastructure support, documentation, and system optimization, * Supporting live client deployments and serving as a technical point of contact
  • Troubleshooting issues using logs, system tracing, and debugging tools (CloudWatch, DynamoDB, etc.)
  • Building documentation, operational playbooks, and scalable processes
  • Contributing to deployment efforts alongside forward deployed engineering teams
  • Enhancing internal products and tools using modern frontend and backend technologies
  • Assisting with system configuration, rollout, and replication across teams

Requirements

  • 2-4 years of professional software engineering experience
  • Strong proficiency in Python and object-oriented programming principles
  • Hands-on experience with AWS services including Lambda, S3, SQS, DynamoDB, API Gateway, EC2, CloudFormation, and CloudWatch
  • Solid understanding of serverless architecture and distributed systems
  • Experience working with NoSQL databases (DynamoDB preferred)
  • Strong understanding of REST APIs and modern web service design
  • Proven ability to troubleshoot production systems, analyze logs, and debug issues across a full stack environment
  • Experience reading and contributing to unfamiliar codebases quickly and effectively
  • Exposure to frontend technologies (React, TypeScript, Next.js)
  • Experience supporting production systems in a client-facing capacity
  • Strong written and verbal communication skills

Desired Skills & Experience

  • Experience with CI/CD pipelines (GitHub Actions or similar)
  • Familiarity with cloud infrastructure as code (CloudFormation or Terraform)
  • Exposure to AI/ML systems, LLMs, or agent-based architectures
  • Experience building documentation, runbooks, or operational playbooks
  • Background working in a startup or fast-paced client delivery environment
  • Experience integrating with enterprise systems (ERP, TMS, accounting platforms, etc.)
  • Comfort working cross-functionally with both technical and non-technical stakeholders

Benefits & conditions

  • Opportunity to work on cutting-edge AI-driven enterprise platforms
  • High-visibility role with direct client interaction and ownership
  • Career growth path into senior platform or forward deployed engineering roles
  • Collaborative, fast-paced engineering environment
  • Standard benefits package: medical, dental, vision, PTO, and retirement options

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