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Location
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Experience
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Employment
Full-Time

First seen by Alion on Oct 10, 2026.

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Global digital transformation partner delivering Cloud, AI, Enterprise Service Management, Enterprise Security, Managed Services, and GIS solutions across industries.

Automation & AI Engineers

Claidroid — Pune / Thiruvananthapuram, India (Hybrid)

Claidroid Technologies Pvt. Ltd.

Location: Pune / Trivandrum( Hybrid)

Work Mode: Hybrid / Project Delivery Model

Experience: Minimum 2 years in IT Automation, Scripting or Infrastructure Support (including relevant internships/projects)

We're Hiring: Automation & AI Engineers

Claidroid Technologies Pvt. Ltd. is hiring Automation & AI Engineers for a strategic enterprise technology engagement with a leading global client.

The role focuses on developing, implementing and supporting intelligent automation solutions across on-premises and cloud infrastructure environments, combining traditional infrastructure automation with emerging Artificial Intelligence (AI) and Machine Learning (ML) technologies.

This opportunity is ideal for early-career technology professionals with hands-on exposure to Python, Ansible, Terraform, infrastructure automation, APIs and DevOps tools, along with a strong interest in Generative AI, intelligent operations, observability and enterprise automation.

You will collaborate with experienced automation engineers, infrastructure specialists and cross-functional technology teams to simplify operational processes, reduce manual intervention and accelerate the adoption of automation and AI-driven solutions.

About Claidroid Technologies

Claidroid Technologies Pvt. Ltd. is a global digital transformation and technology services partner built around Cloud, AI, Automation and Enterprise Platforms.

We work with leading enterprises to modernize technology platforms, improve operational efficiency, strengthen governance and deliver high-quality technology solutions.

Our expertise spans Cloud Engineering, Artificial Intelligence, Intelligent Automation, DevOps, DevSecOps, AIOps, Enterprise Service Management and Digital Transformation.

Role Overview

As an Automation & AI Engineer, you will work closely with senior automation engineers, infrastructure specialists, product owners and operational teams to identify automation opportunities and develop scalable solutions across enterprise IT environments.

You will support the design, development, testing, deployment and maintenance of automation scripts, workflows and integrations covering on-premises and cloud infrastructure.

The role combines infrastructure automation, scripting, cloud technologies, AI/ML integration, API development, monitoring and observability, providing exposure to modern enterprise automation platforms.

You will also contribute to the integration of automation solutions with enterprise technologies such as ServiceNow, Dynatrace and emerging AI frameworks, including Model Context Protocol (MCP).

The role requires a good understanding of IT infrastructure and operations, a problem-solving mindset and a willingness to learn emerging automation and AI technologies while working in a collaborative DevOps-oriented environment.

Key Responsibilities

Infrastructure Automation & Development

  • Develop, test and maintain automation scripts, workflows and playbooks for on-premises and cloud infrastructure.
  • Support automation across Compute, Storage, Backup, Network and Operating System environments.
  • Identify repetitive and manual infrastructure activities suitable for automation.
  • Develop and maintain automation solutions using technologies such as Python, Ansible, Terraform and Power Automate.
  • Assist in translating operational requirements into practical automation use cases.
  • Work with senior engineers to design and implement small-to-medium automation solutions.
  • Support infrastructure-as-code and configuration management initiatives.
  • Troubleshoot automation scripts and workflows and implement improvements.
  • Ensure automation solutions follow established engineering standards, documentation practices and operational requirements.

AI, Machine Learning & Intelligent Automation

  • Support the integration of existing AI/ML models with infrastructure automation workflows.
  • Use APIs to connect AI-enabled capabilities with existing infrastructure tools and enterprise systems.
  • Explore practical applications of Generative AI and intelligent automation within IT operations.
  • Gain exposure to Cognitive Services, Machine Learning concepts and GenAI frameworks.
  • Support the development and integration of AI-powered automation workflows under senior engineering guidance.
  • Explore the use of Model Context Protocol (MCP) servers for connecting AI and automation capabilities with enterprise tools.
  • Assist in building solutions that improve operational efficiency, reduce manual intervention and support intelligent infrastructure operations.

Monitoring, Observability & Enterprise Integration

  • Support infrastructure and application health monitoring using observability platforms such as Dynatrace.
  • Assist in translating infrastructure alerts and monitoring events into automated workflows and triggers.
  • Support automation integration with enterprise platforms such as ServiceNow.
  • Work with REST APIs to connect automation scripts with enterprise IT systems.
  • Gain exposure to ServiceNow Incident, Change and Request Management processes.
  • Assist in developing automation capabilities that enhance incident response and operational support.
  • Collaborate with monitoring-tool owners, infrastructure teams and platform specialists.

DevOps, Cloud & Automation Tooling

  • Work with DevOps tools and CI/CD pipelines supporting automation development and deployment.
  • Gain practical exposure to Git, Jenkins, Azure DevOps and related engineering toolchains.
  • Support automation across cloud and on-premises environments.
  • Participate in testing, validation and deployment of automation workflows.
  • Assist in integrating infrastructure automation with existing enterprise platforms.
  • Apply basic security, data privacy and compliance considerations when developing automation solutions.
  • Explore emerging automation frameworks and contribute to technical evaluations and proof-of-concept initiatives.

Collaboration, Documentation & Continuous Improvement

  • Collaborate with infrastructure Subject Matter Experts (SMEs), product owners and senior automation engineers.
  • Participate in technical discussions and working sessions to understand automation requirements.
  • Document scripts, workflows, configurations and implementation procedures.
  • Maintain clear technical documentation for knowledge transfer and operational support.
  • Track assigned automation activities and escalate technical blockers promptly.
  • Provide progress updates and contribute to stakeholder reporting.
  • Demonstrate completed automation solutions to technical and non-technical stakeholders.
  • Participate in automation and AI training programmes, technical workshops and knowledge-sharing activities.
  • Continuously improve automation quality, maintainability and operational effectiveness.

Must-Have Skills

We are looking for professionals with foundational hands-on experience in IT automation and a strong interest in AI-driven infrastructure operations.

Infrastructure & Automation

  • Basic working knowledge of Data Centre infrastructure and IT Operations.
  • Understanding of Compute, Storage, Backup, Network and Operating System technologies.
  • Exposure to infrastructure automation and scripting.
  • Good programming or scripting knowledge, particularly Python, Java or JavaScript.
  • Familiarity with automation scripts, workflows and playbooks.
  • Knowledge of REST APIs and basic system integration concepts.
  • Foundational understanding of cloud and on-premises infrastructure environments.

DevOps & Automation Tools

  • Working knowledge of, or willingness to learn, Ansible and Terraform.
  • Basic exposure to Git, Jenkins, Azure DevOps or similar DevOps toolchains.
  • Understanding of CI/CD concepts and software deployment workflows.
  • Basic understanding of ITIL and DevOps practices.

AI & Intelligent Automation

  • Awareness of Artificial Intelligence, Machine Learning and Generative AI concepts.
  • Interest in applying AI technologies to IT infrastructure and operations.
  • Basic understanding of how AI/ML models can be integrated through APIs.
  • Willingness to explore emerging AI automation frameworks and MCP-based integrations.

Professional Competencies

  • Strong analytical and problem-solving abilities.
  • Good communication and collaboration skills.
  • Ability to understand technical requirements and translate them into automation tasks.
  • Willingness to work with cross-functional engineering and infrastructure teams.
  • Ability to manage assigned activities and meet agreed timelines.
  • Strong learning orientation and adaptability to emerging technologies.

Good-to-Have Skills

Candidates with exposure to the following technologies will have an added advantage:

  • Python Automation: Practical scripting experience for infrastructure or operational processes.
  • Ansible / Terraform: Infrastructure-as-code and configuration management.
  • Power Automate: Workflow and process automation.
  • Dynatrace: Infrastructure monitoring, application observability and alert-driven automation.
  • ServiceNow: Familiarity with Incident, Change and Request modules and API integration.
  • Generative AI: Understanding of GenAI frameworks and AI-assisted automation.
  • Model Context Protocol (MCP): Awareness of MCP servers and AI-to-enterprise-tool integrations.
  • MLOps: Basic concepts of model monitoring and CI/CD for ML pipelines.
  • Cloud Platforms: Foundational knowledge of AWS, Microsoft Azure or related cloud technologies.
  • CI/CD: Exposure to Git, Jenkins and Azure DevOps.
  • Security & Compliance: Awareness of security considerations, data privacy and regulatory concepts.
  • Certifications: AWS, Azure, automation or AI-related certifications.

Candidate Profile

We are looking for enthusiastic Automation & AI Engineers with a strong technical foundation and a genuine interest in modernizing enterprise IT operations through automation and Artificial Intelligence.

The ideal candidate should have:

  • Minimum 2 years of relevant experience, including qualifying internships or projects, in IT automation, infrastructure support or scripting.
  • Foundational knowledge of on-premises and cloud infrastructure.
  • Practical exposure to programming or automation technologies.
  • Interest in developing automation solutions for real-world infrastructure challenges.
  • Curiosity about AI, Machine Learning, Generative AI and emerging enterprise automation frameworks.
  • Willingness to learn from experienced engineers and contribute to enterprise automation initiatives.
  • A collaborative mindset, accountability and a commitment to continuous technical improvement.

Candidates who have worked on automation projects, scripting assignments, cloud infrastructure initiatives or AI-related technical projects are encouraged to apply.

Why Join Claidroid Technologies

At Claidroid Technologies, you will have the opportunity to work on enterprise-scale technology initiatives for global clients while building expertise at the intersection of Infrastructure Engineering, Intelligent Automation, Cloud and Artificial Intelligence.

You will work alongside experienced technology specialists in an environment that encourages innovation, technical learning, collaboration and ownership.

This role provides exposure to:

  • Enterprise Infrastructure Automation
  • Python Scripting & Automation Development
  • Ansible & Terraform
  • Cloud & On-Premises Infrastructure
  • Artificial Intelligence & Machine Learning
  • Generative AI & Intelligent Workflows
  • Model Context Protocol (MCP)
  • ServiceNow & Enterprise ITSM Integration
  • Dynatrace & Infrastructure Observability
  • REST APIs & Enterprise System Integration
  • DevOps & CI/CD Automation
  • Infrastructure-as-Code
  • Operational Efficiency & Process Optimization
  • Global Enterprise Technology Projects

This is an excellent opportunity to strengthen your automation engineering skills while gaining practical exposure to emerging AI-driven IT operations technologies.

Work Location

Pune / Trivandrum – Hybrid

Candidates should be open to working from the designated project location as required by the client and project delivery model.

Apply Now

If you are passionate about Python, Infrastructure Automation, Cloud Engineering and AI-driven technology solutions, we would like to hear from you.

Join Claidroid Technologies and contribute to building the next generation of intelligent enterprise automation solutions.

Key Skills: Python | Infrastructure Automation | AI Automation | Generative AI | Ansible | Terraform | Power Automate | DevOps | CI/CD | Cloud Infrastructure | REST API | ServiceNow | Dynatrace | Model Context Protocol (MCP) | MLOps | Machine Learning | IT Infrastructure | Infrastructure-as-Code | Azure DevOps | Jenkins | Git | ITIL | Intelligent Automation

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