Associate Platform Engineer / AWS / Python

Charlotte, North CarolinaOnsiteFull Time$80k - $120kThis 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. This is a high-impact, growth-oriented role ideal for a strong generalist engineer who thrives in ambiguous environments and enjoys diving into complex systems. Engineers in this role will work closely with forward-deployed teams, support live client environments, and contribute to internal product development. The organization values curiosity, ownership, and the ability to troubleshoot issues end-to-end across the stack—making this an exceptional opportunity for engineers looking to accelerate their careers in cloud engineering, AI-driven platforms, and client-facing technical roles. Required Skills & Experience2–4 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 & ExperienceExperience 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 What You Will Be DoingTech Breakdown50% Cloud Infrastructure & Platform (AWS, serverless architecture, system operations) 30% Backend / Full Stack Development (Python, APIs, React-based interfaces) 20% Debugging, Troubleshooting & Production Support Daily Responsibilities40% 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 Key responsibilities include: 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 The OfferOpportunity 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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