Lead Engineer - AIOps

Presidio, Where Teamwork and Innovation Shape the Future AtPresidio, we’re at the forefront of a global technology revolution, transforming industries through cutting-edge digital solutions and next-generation AI. We empower businesses—and their customers—to achieve more through innovation, automation, and intelligent insights.

The Role As a Lead AIOps Engineer, you will operate at the intersection of application development, platform engineering, and AI-driven operations — taking ownership of technical work streams, guiding your team through delivery, and ensuring solutions meet client expectations at every stage. You will make day-to-day technical decisions, provide hands-on direction, and bridge the gap between engineering execution and client needs, ensuring solutions are well-designed, maintainable, and delivered with quality.

This is a role for someone who is equally comfortable writing code and leading a small team — driving engineering rigour, championing AI-accelerated development practices, and contributing to a culture of continuous improvement. You will engage with clients during delivery, participate in solution design discussions, and represent Presidio's engineering standards as a trusted practitioner on the ground.

Required SkillsAI Development: AI adoption for development & operations activities AI-accelerated development using tools such as Claude, ChatGPT, Cursor, Git Hub Copilot, etc.

AIOps platform design & implementationAI/ML model integration for Ops use casesRAG (Retrieval-Augmented Generation) development

Agentic AI / autonomous workflow development

Platform & Application Engineering:
Cloud: AWS or Azure (preferred); GCP considered

Computing / Networking Services Database / Storage Services Serverless concepts / Deployments Dev Ops : CI/CD:
Git Lab, Git Hub Actions, Azure Dev Ops, Jenkins, etc.

Infra Automation:
Terraform, Cloud Formation, Bicep, Pulumi, etc.

Containers:
Docker, On-Prem K8s, EKS, AKS, Helm, etc.

Observability & monitoring tool chains

Programming

Skills:

Languages (any one or two):
Java / .Net, Python, Go, C#, Java Script Frameworks  (any one or two):
Angular, React, Vue.js with NodeJSDatabases:
Relational (Postgres, MySQL, Oracle, etc.) and No

SQL (MongoDB, Amazon DynamoDB, Cassandra, etc.)Back-end development and basic microservices implementation

Data (any one or two):
Data Migration/Modernization, Data Engineering, Data Ops / MLOps, etc.

Job Responsibilities Leads the design and architecture of software and platform solutions by deeply understanding business needs; translating requirements into scalable, maintainable system designs across the full software development lifecycle. Evaluates operational and technical feasibility of proposed solutions; provides architectural guidance and sign-off on solution approaches across the team. Owns documentation standards — establishing and enforcing best practices for flowcharts, architecture diagrams, code comments, and technical specifications across the team.

Defines system specifications, standards, and programming guidelines; ensures solutions are built to those standards consistently across delivery work streams. Leads the design and operationalization of AIOps platforms that automate event correlation, anomaly detection, and incident remediation across client environments; accountable for platform reliability and outcomes. Defines the strategy for integrating AI/ML models into operational workflows — including predictive alerting, root-cause analysis, and capacity forecasting — and oversees implementation by the engineering team.

Architects RAG pipelines and Agentic AI workflows; makes key technology and design decisions, and guides senior and junior engineers through implementation. Owns and enforces the AI…