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.
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 & Experience - 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
What You Will Be Doing Tech Breakdown - 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
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 Offer - 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
#LI-CK2
Never miss an opportunity! Create an alert based on the job you applied for.
