Key Responsibilities:

Design, develop, and test Python-based automation scripts and APIs to improve system reliability and operational efficiency

Build and maintain robust, scalable REST APIs for internal tooling and automation workflows

Collaborate with cross-functional teams to integrate tools and services that enhance availability and performance

Ensure internal and external SLAs are consistently met or exceeded
Maintain and support a 24x7, global, highly available SaaS environment
Participate in an on-call rotation for production infrastructure support
Troubleshoot and resolve production incidents, often spanning multiple services and teams
Conduct post-incident reviews and implement preventive measures, aiming for automated responses to non-exceptional conditions
Communicate effectively with business and technical stakeholders during critical incidents

Qualifications:

Bachelor’s Degree with at least 3+ years of experience in IT, DevOps, or SRE roles
Strong proficiency in Python for scripting, automation, and API development
Experience in designing, developing, and testing RESTful APIs
Familiarity with automated testing frameworks for APIs (e.g., Pytest, Postman, or similar)
Experience with cloud platforms, especially AWS/Azure
Familiarity with observability tools (e.g., Datadog, CloudWatch, CloudTrail, Elastic Stack, Grafana or similar)
Hands-on experience with Kubernetes and containerized environments
Proficiency with Infrastructure as Code tools (e.g., Terraform, CloudFormation, Ansible or similar)
Experience with incident management and response
Familiarity with issue tracking tools (e.g., ServiceNow, ServiceDesk, Jira or similar)
Prior experience in a Site Reliability Engineering or equivalent DevOps role
Preferred Qualifications - AI & Future-Focused Development:
Understanding of AI Agents and orchestration in cloud-native environments
Familiarity with Retrieval-Augmented Generation (RAG) and related frameworks
Experience with Python-based AI/ML libraries such as LangChain, Hugging Face, OpenAI, or similar
Ability to integrate AI models into automation workflows or observability pipelines
Interest in developing intelligent automation solutions using generative AI and LLMs
Awareness of ethical AI practices and responsible deployment in production systems