
Location: Chennai (Hybrid)
Commitment: Minimum 2 Years (Excluding 3 months of Probation)
Experience Level: Fresher / Entry Level
Job Overview:
We are looking for a skilled and versatile System Administrator with strong expertise in Windows and Linux environments, along with working knowledge of cloud infrastructure, cybersecurity, automation, and AI/ML systems.
The ideal candidate should be capable of handling enterprise IT infrastructure, supporting multi-cloud environments, and contributing to AI/ML deployment and integration activities. Strong communication skills and the ability to collaborate with technical and client-facing teams are essential.
Key Responsibilities:
- Manage and maintain Windows and Linux server environments ensuring stability, performance, and security.
- Support deployment, configuration, and administration of IT infrastructure components across on-prem and cloud environments.
- Monitor system health, troubleshoot issues, and ensure high availability of services.
- Work with cloud platforms such as AWS, Microsoft Azure, and Google Cloud.
- Assist in implementation of security solutions including IAM, firewalls, endpoint protection, and SIEM tools.
- Develop and maintain automation scripts using Python, PowerShell, or JavaScript.
- Support deployment and integration of AI/ML models into production environments.
- Collaborate with engineering and development teams to optimize infrastructure and application performance.
- Participate in technical discussions, documentation, and client support activities when required.
Required Skills & Qualifications:
- Strong knowledge of Windows and Linux system administration.
- Good understanding of networking, servers, and cloud fundamentals.
- Experience or exposure to AWS, Azure, or GCP.
- Proficiency in scripting languages such as Python, PowerShell, or JavaScript.
- Basic understanding of cybersecurity principles and system hardening.
- Familiarity with AI/ML concepts and deployment workflows is an advantage.
- Strong analytical and troubleshooting skills.
- Excellent verbal and written communication skills.
Preferred Qualifications:
- Experience with virtualization and containerization (VMware, Docker, Kubernetes).
- Knowledge of CI/CD pipelines and DevOps practices.
- Exposure to MLOps concepts and model deployment workflows.
- Understanding of monitoring tools and logging systems.
- Experience working in hybrid or enterprise IT environments.
What We Offer:
- Exposure to enterprise-level infrastructure and cloud environments.
- Opportunity to work on real-world AI/ML integration projects.
- Structured career growth into Cloud, DevOps, Security, or AI/ML engineering roles.
- Collaborative work environment with hands-on learning opportunities.
- Competitive compensation and long-term growth path.
Who Should Apply:
- Freshers or candidates with up to 2 years of experience.
- Candidates passionate about system administration, cloud computing, and AI/ML.
- Individuals eager to work in infrastructure-heavy, production environments.
- Strong communicators who can work in team-oriented and client-facing roles.

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