Cloud Automation Engineer- Python & AI Driven Ops
- Cirruslabs
- 3 - 8 years
- Hyderabad
- 14 hours ago
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Job Description
Cloud Automation Engineer- Python AI Driven Ops
Location: Hyderabad(Preferred) Experience Level: 3+ years Shift Timings: 2 PM - 11 PM IST
About the Opportunity
This role sits within a growing Cloud Automation Monitoring (CAM) function focused on evolving from traditional monitoring into a centralized automation and intelligent operations capability. The team is building solutions that move beyond alerting toward event-driven automation, operational efficiency, and self-healing systems across complex enterprise environments. This is an opportunity to work on high-impact, real-world automation use cases at scale, spanning cloud platforms, enterprise applications, and emerging AI capabilities.
Role Overview
The Cloud Automation Engineer will focus on building automation-first solutions across cloud and operational environments, with Python as the core development language.
The role emphasizes:
- Automation of operational workflows
- API-driven orchestration
- Integration with monitoring and ITSM systems
- Exposure to AI/ML and agent-based automation (where applicable)
Success in this role
- Reduce manual operational effort
- Improve system reliability through automation
- Build scalable, reusable automation frameworks
Key Responsibilities
- Design and develop automation workflows for cloud and application operations
- Build and maintain Python-based automation frameworks and services
- Integrate automation with monitoring tools (e.g., Dynatrace, Datadog) to enable event-driven execution
- Develop APIs and microservices (e.g., FastAPI) to expose automation capabilities
- Automate operational tasks such as:
- Incident response
- Certificate and credential lifecycle
- Provisioning and decommissioning
- Contribute to self-healing and auto-remediation workflows
- Build lightweight web portals or dashboards for operational visibility (as needed)
- Collaborate with infrastructure, application, and reliability teams to identify automation opportunities
- Support debugging, root cause analysis, and performance improvement initiatives
Required Qualifications
- 3+ years of experience in software engineering, automation, or cloud operations
- Strong proficiency in Python (primary requirement)
- Experience with scripting and automation (e.g., Bash, PowerShell)
- Hands-on experience with API development (REST, FastAPI or similar frameworks)
- Experience with cloud platforms (Azure, AWS, or GCP)
- Familiarity with Infrastructure as Code / automation tools :
- Terraform
- Ansible (or similar)
- Experience integrating with monitoring and observability tools
- Strong understanding of operational workflows and incident management
- Ability to work across Linux and Windows environments
Preferred Qualifications
- Exposure to AI/ML concepts and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
- Experience with chatbots, conversational AI, or AI agents
- Familiarity with AIOps or intelligent automation use cases
- Experience with containerization and orchestration (Docker, Kubernetes)
- Experience building front-end interfaces (React, Angular, or similar)
- Exposure to data pipelines, ETL processes, or analytics workflows
- Familiarity with ITSM tools (e.g., ServiceNow)
What This Role Is
- A hands-on engineering role focused on building automation that directly impacts enterprise operations
- An opportunity to work on event-driven and self-healing automation systems
- A role that combines software engineering, cloud, and operational problem-solving
- Exposure to emerging AI-driven automation patterns in a practical enterprise setting
What This Role Is Not
- Not a ticket-based support or purely operational role
- Not limited to monitoring or alerting configuration
- Not a purely academic AI/ML research role
- Not a narrowly scoped development role isolated from real operational impact
Why Work With Us
- Work on enterprise-scale transformation initiatives with Fortune 50 clients
- Be part of a team shaping modern automation and intelligent operations capabilities
- Exposure to multi-cloud environments and complex distributed systems
- Opportunity to grow into advanced automation, platform engineering, and AI-driven operations roles
- Collaborative global delivery model across India
Job Classification
Industry: Software ProductFunctional Area / Department: Engineering - Software & QARole Category: Quality Assurance and TestingRole: Blockchain Quality Assurance EngineerEmployement Type: Full timeContact Details:
Company: CirruslabsLocation(s): Hyderabad+ View Contact
Keyskills: Automation Linux Enterprise applications Debugging Incident management HTTP Windows Analytics Monitoring Python
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