cover image
The AES Group

The AES Group

www.theaesgroup.com

2 Jobs

35 Employees

About the Company

The AES Group is a premier technology staffing and consulting company that brings together businesses and talent to deliver the most innovative technology solutions that create the most positive impact to society. In the last 20 years, we have developed innovative best-in-class technology solutions to the world's forward-thinking companies on four key service areas: - Customer Experience: engaging customers with differentiating digital experiences to sustain business relevance - Employee Experience: enabling employees to learn, collaborate, and grow to sustain business performance - Business Solutions: transforming and optimizing business operations to sustain business resilience - Emerging Technology: exploring and adopting emerging technology to transform business model Let's create our future, together.

Listed Jobs

Company background Company brand
Company Name
The AES Group
Job Title
372_Full Stack Developer (ReactJS / NodeJS)
Job Description
**Job title** Full Stack Developer (ReactJS / NodeJS) **Role Summary** Develop and maintain scalable full‑stack applications, modernize CI/CD pipelines with AI‑driven automation, and deliver high‑quality front‑end interfaces and server‑side logic. Collaborate on source control, dependency management, and deployment across Docker, Kubernetes, and cloud platforms. **Expactations** - 12+ years of JavaScript development experience with ReactJS, Redux, TypeScript, and ES6. - Comprehensive front‑end design skills with CSS and polished UI/UX implementation. - Proven back‑end scripting with NodeJS and NPM, plus database experience with MongoDB or Postgres. - Hands‑on Python scripting for CI/CD automation. - Deep knowledge of Git/GitHub workflow and version control principles. - Familiarity with AI/ML concepts and frameworks (TensorFlow, PyTorch, Keras) is advantageous. - Exposure to cloud services (AWS, Azure, or GCP) and container orchestration (Docker, Kubernetes) is a plus. - Strong problem‑solving skills and ability to drive automation and quality improvements. **Key Responsibilities** - Design, code, test, and deploy responsive front‑end solutions using ReactJS. - Automate build, test, and deployment workflows with NodeJS scripts and CI/CD tools. - Integrate AI models for bug detection, performance analysis, and development efficiency. - Manage source code with Git and GitHub, enforce branching strategies, and perform code reviews. - Coordinate dependency and configuration management with NPM, Ansible, and Docker. - Collaborate cross‑functionally with product, design, and ops teams to ensure seamless delivery. - Maintain documentation for pipeline, architecture, and best practices. **Required Skills** - JavaScript (ReactJS, Redux, TypeScript, ES6) – 12+ yrs - CSS/HTML5, responsive UI/UX - NodeJS, NPM, server‑side scripting - MongoDB or PostgreSQL - Python scripting, CI/CD pipeline design - Git/GitHub version control, branching, merge strategies - Docker, Ansible (configuration, automation) - Exposure to Java services, AWS/Azure/GCP, Kubernetes, Pytest, cross‑validation **Required Education & Certifications** - Bachelor’s degree in Computer Science, Software Engineering, or related field. - No mandatory certifications, but experience with cloud provider certifications (AWS, Azure, GCP) or CI/CD tools is beneficial.
Basking ridge, United states
Hybrid
Senior
09-12-2025
Company background Company brand
Company Name
The AES Group
Job Title
Sr. AI DevOps Engineer
Job Description
**Job Title** Sr. AI DevOps Engineer **Role Summary** Design, develop, and deliver an AI‑powered toolkit that integrates Large Language Models (LLMs) with Retrieval‑Augmented Generation (RAG) to automate and enhance technical support operations across hybrid Kubernetes/virtualization environments. Drive end‑to‑end automation, high‑availability design, and AI‑assisted troubleshooting for enterprise‑scale systems. **Expectations** - Operate independently in a fully remote setting (US CST/EST). - Consistently meet defined deliverables on a long‑term contract basis. - Translate complex infrastructure concepts into usable AI‑driven support tools. - Collaborate virtually with cross‑functional teams to ensure toolkit alignment with support processes. **Key Responsibilities** - Architect and implement AI/LLM components (RAG, chatbot pipelines) within the support toolkit. - Build and maintain automation for provisioning, scaling, and orchestration of Kubernetes (OpenShift 4.18) and VM workloads. - Develop modules for Kubernetes fundamentals, OpenShift Virtualization, KVM, and mixed workload management. - Design resource‑optimization, networking, storage, and high‑availability solutions (e.g., F5 SPK, UDNs, HA replication). - Implement live‑migration and fault‑tolerance mechanisms for VMs and databases. - Create real‑time log analysis, alerting, and patching workflows powered by AI. - Document architecture, APIs, and usage guides for global technical support teams. - Conduct performance testing and continuous improvement of AI‑driven features. **Required Skills** - Deep expertise in Kubernetes (pods, deployments, namespaces, network policies) and OpenShift 4.x. - Strong background in virtualization technologies (OpenShift Virtualization, KVM, VM orchestration). - Proven experience designing and integrating LLM/RAG solutions into production tools. - Proficiency with infrastructure automation (IaC, CI/CD pipelines, Terraform, Ansible, Helm). - Solid understanding of networking (K8s networking, F5, UDNs) and storage systems (persistent volumes, replication, HA). - Programming/scripting skills (Python, Go, Bash) and familiarity with AI/ML libraries. - Excellent problem‑solving ability and capacity to work autonomously in a remote contract role. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience). - Kubernetes Certified Administrator (CKA) or Kubernetes Certified Engineer (CKE). - Red Hat OpenShift Certified Engineer (RHCE) preferred. - Cloud certifications (AWS, Azure, or GCP) and/or AI/ML certifications are a plus.
United states
Remote
23-01-2026