AI Deployment Engineer @ IL(Hybrid) on FTE/Contract || suneetha@spruceinfotech.com

Spruce Infotech
Lincolnshire, United States of America
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 122K

Job location

Lincolnshire, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
User Authentication
Azure
Code Coverage
Data Integration
DevOps
Key Management
Performance Tuning
Software Deployment
Software Engineering
Software Security
Backend
Containerization
Kubernetes
low-code
Api Design
Code Restructuring
Docker

Job description

  • Assess internally developed applications for production readiness, including security, performance, and scalability
  • Refactor and enhance partially built solutions (including low-code or AI-generated applications) to meet enterprise standards
  • Support deployment processes, including CI/CD pipelines, environment configuration, and release readiness
  • Identify and remediate common issues in AI-generated or prototype code (e.g., security gaps, incomplete logic, poor test coverage)
  • Collaborate with business users to understand intent and translate solutions into production-ready implementations
  • Establish best practices for deployment, testing, and operational readiness
  • Document recurring issues and contribute to improving development and deployment standards, Build your best future with the Johnson Controls team! As a global leader in smart, healthy, and sustainable buildings, our mission is to reimagine the performance of buildings t…
  • 1 month ago

Requirements

  • 4+ years of experience in DevOps, software engineering, or production support roles
  • Strong understanding of application deployment, CI/CD pipelines, and environment management
  • Experience working with cloud platforms (AWS, Azure, or GCP)
  • Familiarity with application security concepts (authentication, authorization, secrets management)
  • Experience working with APIs, data integration, and backend services
  • Strong communication skills with the ability to work directly with business users

Preferred Skills & Experience

  • Experience supporting low-code/no-code or AI-assisted development environments
  • Familiarity with AI tools and generated code patterns (e.g., Copilot, Claude Code)
  • Exposure to containerization and orchestration tools (Docker, Kubernetes)
  • Experience with monitoring, observability, or performance tuning tools

About the company

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