Automation Engineer – AI-Driven & API-First Automation
A highly skilled Automation Engineer responsible for designing, building, and evolving intelligent, API-driven automation solutions that reduce manual effort, accelerate delivery, and enhance operational resilience across enterprise platforms.
This role requires strong expertise in Python scripting, deep experience with REST/JSON APIs, and hands-on capability in leveraging agentic AI frameworks by orchestrating AI agents through API endpoints. The focus is on enabling autonomous workflows, intelligent decision-making, and self-healing automation systems.
The ideal candidate thrives in complex enterprise environments, collaborates closely with engineering, SRE, and platform teams, and brings a forward-thinking approach to AI-augmented automation while ensuring enterprise-grade security, reliability, and governance.
Key Responsibilities
- Design, develop, and maintain end-to-end automation solutions using Python and scripting languages to eliminate manual and repetitive operational tasks
- Build API-first automation by integrating internal and external systems using RESTful services, webhooks, and event-driven architectures
- Implement agentic AI workflows by orchestrating AI agents through APIs to enable autonomous remediation, validation, orchestration, and decision support
- Develop automation integrated with CI/CD pipelines, infrastructure platforms, middleware, and application ecosystems
- Collaborate with SRE, Platform Engineering, and Application teams to enhance system reliability, resilience, and operational visibility
- Create reusable automation frameworks, libraries, and services that scale across multiple teams and business units
- Ensure all automation solutions meet enterprise standards for security, compliance, auditability, and resilience
- Document automation designs, APIs, AI workflows, and operational runbooks for long-term maintainability
- Continuously evaluate emerging automation and AI technologies to improve efficiency and developer experience
Required Qualifications
- Strong experience in Python and Shell scripting for automation, orchestration, and systems integration
- Hands-on experience working with REST APIs, JSON payloads, authentication mechanisms, and API lifecycle management
- Solid understanding of DevOps practices, CI/CD pipelines, and automation frameworks
- Experience integrating automation with infrastructure, middleware, or application platforms
- Strong problem-solving skills with the ability to analyze manual processes and convert them into scalable automation solutions
- Ability to work effectively in large, complex enterprise environments
Preferred Qualifications
- Experience building or working with agentic AI systems, including coordinating multiple AI agents via APIs
- Familiarity with LLM-based services, AI orchestration patterns, and AI-assisted decision-making workflows
- Experience with containerization and platforms such as Docker, Kubernetes, or OpenShift
- Exposure to event-driven architectures, asynchronous workflows, or job-based automation models
- Experience in highly regulated environments (e.g., financial services, healthcare, etc.)
- Strong communication and documentation skills, with the ability to explain complex automation and AI concepts clearly
