ILLUMINATI CONSULTING DevOps / Platform Engineer

Company Overview

Illuminati Consulting is a young, AI-focused consulting firm dedicated to solving high-impact business problems through a lean, outcome-driven approach leveraging AI technologies. Founded by experienced professionals in AI and consulting, the company collaborates with organizations across various industries including QSR, manufacturing, FMCG/CPG, and financial services. The firm emphasizes building practical, reusable AI solutions that deliver measurable business value. Currently, the team comprises approximately 10 members and is experiencing rapid growth.

Job Summary

The DevOps / Platform Engineer at Illuminati Consulting will be responsible for owning and managing the infrastructure and deployment lifecycle of AI-powered applications. This role involves working closely with AI and engineering teams to develop reliable, scalable, and production-ready environments, ensuring seamless transition from development to deployment and production. The engineer will play a critical role in designing, implementing, and maintaining infrastructure solutions that support cutting-edge AI applications, including Large Language Models (LLMs) and Generative AI.

Responsibilities

• Design and establish development, staging, and production environments tailored for AI applications.
• Containerize and deploy applications using Docker and Kubernetes to ensure scalability and reliability.
• Build and manage CI/CD pipelines utilizing tools such as GitHub Actions, Azure DevOps, Jenkins, or GitLab CI for automated build, testing, and deployment processes.
• Architect deployment solutions focusing on scalability, high availability, low latency, and system reliability.
• Configure and manage APIs, webhooks, gateways, and integrations to facilitate seamless application connectivity.
• Collaborate with AI and engineering teams to ensure applications are production-ready from the development stage.
• Manage secrets, environment configurations, access controls, and deployment settings securely.
• Establish logging, monitoring, alerting, and observability frameworks to maintain system health and performance.
• Support performance testing, production hardening, release management, and go-live activities.
• Troubleshoot deployment, infrastructure, and production issues promptly.
• Support deployment and orchestration of LLM, GenAI, and Agentic AI applications.
• Continuously improve infrastructure reliability, deployment automation, and engineering best practices.

Qualifications

• 4–5 years of hands-on experience in DevOps, Cloud Engineering, Platform Engineering, or a similar role.
• Strong experience with Docker and Kubernetes for containerization and orchestration.
• Proficiency with CI/CD tools such as GitHub Actions, Azure DevOps, Jenkins, or GitLab CI.
• Good understanding of cloud platforms including AWS, Azure, or GCP, and experience with production cloud deployments.
• Experience working with REST APIs, webhooks, API gateways, and integrations.
• Solid knowledge of infrastructure fundamentals, networking, load balancing, and security.
• Experience with production monitoring, observability tools, and alerting systems.
• Ability to independently manage applications from development through deployment, testing, and production.
• Strong troubleshooting and problem-solving skills.
• Educational qualifications such as a BTech, BSc, MSc, or equivalent in Computer Science, Engineering, or related fields.

Preferred Skills

• Exposure to LLMs, Generative AI, or Agentic AI platforms.
• Understanding of agent orchestration frameworks like LangGraph, CrewAI, Azure AI Foundry, or similar.
• Experience deploying Python or FastAPI-based applications.
• Familiarity with LLM observability, tracing, token/cost monitoring, and API management.
• Experience working in early-stage or fast-growing technology environments.

Experience

• 4–5 years of relevant professional experience in DevOps, Cloud Engineering, or Platform Engineering roles.
• Proven track record of deploying and managing AI or cloud-native applications at scale.

Environment

This role is suited for a high-ownership, fast-paced environment. The work setting may involve remote, in-office, or hybrid arrangements depending on company policies. The role requires collaboration with cross-functional teams and may involve working in dynamic, rapidly evolving technological landscapes.

Salary

Not specified.

GrowthOpportunities

Not specified.

Benefits

Not specified.