Automation Engineer
Automation Engineer – AI-Driven & API-First Automation
We are seeking a highly skilled Automation Engineer to design, build, and evolve intelligent, API-driven automation solutions that eliminate manual effort, accelerate delivery, and improve operational resilience across enterprise platforms.
This role requires deep expertise in scripting (preferably Python), strong experience working with REST/JSON APIs, and hands-on ability to leverage agentic AI frameworks by orchestrating AI agents through API endpoints to drive autonomous workflows, decision-making, and self-healing automation.
The ideal candidate thrives in complex environments, partners closely with engineering, SRE, and platform teams, and brings a forward-thinking mindset to AI-augmented automation while maintaining enterprise-grade security, reliability, and governance.
Key Responsibilities
- Design, develop, and maintain end-to-end automation solutions using Python and other scripting languages
- Build API-first automation by integrating systems using RESTful services, webhooks, and event-driven patterns
- Implement AI-driven workflows by orchestrating agents via API endpoints for remediation, validation, and decision support
- Integrate automation with CI/CD pipelines, infrastructure platforms, and application ecosystems
- Partner with SRE, Platform, and Application teams to improve reliability and operational efficiency
- Develop reusable frameworks, libraries, and services that scale across the enterprise
- Ensure automation aligns with security, compliance, and governance standards
- Document automation designs, APIs, and operational runbooks
- Evaluate emerging automation and AI technologies to drive innovation
Required Qualifications
- Strong experience with Python and/or shell scripting for automation and orchestration
- Hands-on experience with REST APIs, JSON, authentication, and integrations
- Solid understanding of CI/CD pipelines and DevOps practices
- Experience integrating automation across infrastructure, middleware, or applications
- Strong problem-solving skills and ability to translate manual processes into automation
- Experience working in large, complex environments
Preferred Qualifications
- Experience with AI/LLM-based systems or agentic AI workflows
- Familiarity with orchestrating AI agents via APIs
- Experience with Docker, Kubernetes, or similar platforms
- Exposure to event-driven or asynchronous architectures
- Experience in regulated environments (finance, healthcare, etc.)
- Strong communication and documentation skills
