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Associate Platform Engineer, AI Agents

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: eranova
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    Systems Engineer, Cloud Computing: Infrastructure & Operations, AWS, SRE/Site Reliability
Salary/Wage Range or Industry Benchmark: 70000 - 80000 USD Yearly USD 70000.00 80000.00 YEAR
Job Description & How to Apply Below

Work Authorization

Eranova is unable to sponsor employment visas for this role. Candidates must already be authorized to work in the U.S.

Salary Range

$70,000 – $80,000 (final offer within this range will depend on experience and qualifications)

Location

Charlotte, NC (Onsite)

Employment Type

Full-Time

Reports To

Director of Engineering

Role Note

This role is designed for a strong generalist software engineer who is confident across our stack and energized by understanding production systems end-to-end. The Associate Platform Engineer is a foundational hire on our growing Platform Engineering team.

Our stack centers on Python services running on AWS - primarily Lambda, S3, SQS, DynamoDB, API Gateway, and EC2 - with Cloud Formation for infrastructure-as-code and Cloud Watch for observability. We use DynamoDB heavily and SQL/RDS only occasionally. On the frontend, we build with React, Type Script, Next.js, and Tailwind CSS.
Success in this role requires genuine confidence across these AWS components - navigating the console, reading Cloud Watch logs, inspecting DynamoDB records, and tracing requests through our serverless infrastructure. Equally important: the instinct to drop into an unfamiliar codebase, identify where a problem lives, and ship a clean fix. Operational fluency in AWS and codebase-diving instinct are the non-negotiables for this role.

You will work alongside our Forward Deployed Engineers (FDEs) and Deployment Strategy team - supporting existing client deployments, building the documentation and operational playbooks that allow our support function to scale, contributing engineering capacity to active deployments, and helping ship internal product. This is a client-facing role: you will be introduced to clients as the technical resource supporting their deployment, and communicate with them directly when issues arise.

Over time, this role grows into senior platform engineering positions, with possible lateral movement into our Forward Deployed Engineering track based on demonstrated fit.

This is not a support-only role. Client support is priority-one when it arises but represents only a portion of any given week. The majority of your time will go to documentation systems, engineering capacity on active deployments, and internal product. Candidates looking for a traditional help-desk or ticket-queue role will not be a fit.

About Eranova

Eranova's platform automates enterprise workflows through AI agents, unlocking value that traditional software couldn't reach. The modules within our suite leverage Agentic AI to automate back-office processes across industries at enterprise-scale.

Eranova is seeking talented and eager team members interested in contributing to real-world applications of AI and excited to define the standard for how AI Agents integrate into enterprise workflows.

Our Platform Engineering team works in a high-ownership, fast-moving environment alongside our Forward Deployed Engineers - supporting live customer deployments, scaling our operational maturity, and contributing to internal product development at a company carving the way for enterprise applications of AI Agents.

Traits that matter in this role
  • You are a strong generalist who is genuinely curious about every layer of a production system
  • You are confident navigating AWS production environments - logs, services, infrastructure, and data
  • You can drop into an unfamiliar codebase, orient yourself quickly, and ship clean fixes or new features
  • You are disciplined about documentation and bring rigor to operational details
  • You are credible and clear in client-facing communication, both written and spoken
  • You take pride in leaving systems more understandable than you found them
  • You can communicate technical concepts to non-technical stakeholders without losing precision
  • You are comfortable shifting priorities as client needs arise, and bring urgency when production issues hit
  • You write code with clarity and discipline - clean, modular, OOP-driven - even when the work is "behind the scenes"
  • You are energized by growing into a senior engineering role at a fast-moving AI company
Responsibilities

The Associate Platform Engineer role spans five primary buckets of work. The allocation below reflects steady-state expectations; the first six months will be more heavily weighted toward documentation and learning our deployed systems.

Client Deployment Support (~25%)

  • Serve as a primary technical responder for existing client deployment issues
  • Triage and resolve production issues across our AWS-based deployments
  • Investigate root causes using Cloud Watch logs, DynamoDB inspection, and tracing requests through our serverless architecture
  • Implement and ship hot-fixes when production issues require code changes
  • Communicate directly with client stakeholders during active incidents and routine support
  • Maintain a high bar of urgency, ownership, and client communication when issues arise

Existing Deployment Documentation & Playbook Development (~25%)

  • Document the architecture,…
Position Requirements
10+ Years work experience
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