IT Operations Engineer - Arcitech AI
Full-time
Navi Mumbai, Maharashtra, India
2-5 Years Experience
IT Operations Engineer - Arcitech AI
Full-time
Navi Mumbai, Maharashtra, India
Position: IT Operations Engineer
Location: Vashi
Employment Type: Full-time
About the Role :
We are seeking an experienced and versatile IT & Desktop Engineer with 3–5 years of hands-on experience
in IT infrastructure support, server management, desktop troubleshooting, and cloud technologies
(AWS/Azure). This role includes system administration, network support, desktop management, and security
operations. The ideal candidate should be capable of handling end-user support as well as backend IT
operations, ensuring smooth functioning of servers, networks, and endpoint devices.
Key Responsibilities
• Manage and maintain servers including installation, configuration, patching, and performance
monitoring.
• Perform routine server administration tasks such as backups, security updates, IAM and logs.
• Manage Active Directory, Group Policies, and access permissions.
• Troubleshoot system and application issues across Windows/Linux.
• Ensure uptime, availability, and reliability of IT infrastructure.
• Support IT security operations including antivirus, firewalls, and vulnerability fixes.
• Maintain IT documentation, SOPs, and configuration records.
• Provide L1/L2 end-user support for desktops, laptops, printers, and other endpoint devices.
• Install, upgrade, and troubleshoot Windows/Mac/Linux OS on client systems.
• Diagnose and resolve hardware, software, and peripheral issues.
• Configure and manage endpoint security tools and policies.
• Manage CCTV configuration, monitoring, and backup processes.
• Perform LAN/WAN troubleshooting including switches, routers, Wi-Fi, and cabling.
• Handle network troubleshooting (DNS, DHCP, IP conflicts, connectivity issues).
• Set up new user profiles, email accounts, and access privileges.
• Support remote users using VPN and remote access tools.
• Oversee identity and access lifecycle (SSO, MFA setups).
• Configure network devices and enforce basic network security standards.
• Monitor security alerts & escalate incidents when necessary.
• Assist in implementing security policies, compliance controls & patching plans.
• Support cloud resources setup, IAM access, and monitoring.
• Monitor systems through tools like Grafana, CloudWatch, Zabbix, or similar.
• Manage license renewals & vendor coordination.
• Support biometric devices & access control systems.
• Assist HR/Operations during onboarding/offboarding processes.
• Collaborate with cross-functional teams to improve IT workflows.
• Participate in IT audits and compliance reviews.
• Conduct periodic infrastructure health checks.
• Identify automation opportunities in IT operations.
• Support procurement decisions for IT equipment & services.
• Perform root-cause analysis for major incidents.
Technical Skills Required
• Windows & Linux server management
• LAN/WAN troubleshooting & network diagnostics
• CCTV configuration and backup management
• Endpoint device configuration & management
• Asset management
• Networking knowledge: DNS, DHCP, TCP/IP, Routing, Switching
• Backup tools & disaster recovery
• IT ticketing systems & ITIL processes
• Security tools: antivirus, EDR, endpoint protection
• Basic cloud concepts (AWS/Azure)
Industry
- IT Services and IT Consulting
Employment Type
Full-time
Shubham Vishwakarma
Full Stack Developer - Averlon
About Arcitech
About
The company is a team of experienced professionals dedicated to guiding businesses in establishing a profitable and appealing online presence. They offer services such as website development, mobile app development, e-commerce store, website design, software development, social media marketing, UI/UX design, SEO optimization, and tech support. They handle the project from creative ideation to execution, putting businesses in the digital realm. The company solves the problem of businesses struggling to establish an online presence and offers solutions to help them succeed in the digital space. They operate in various industries, including but not limited to, e-commerce, software, and technology.
Candid answers by the company
Mumbai, Hyderabad, Bangalore, Pune
Company social profiles
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Collaborate on data collection, preprocessing, and feature engineering for ML pipelines.
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Use Git and GitHub for all version control workflows — branching strategies, pull requests, and code reviews.
Contribute to technical documentation, architecture decision records, and internal knowledge bases.
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Stipend: Base ₹8,000/month — up to ₹15,000/month based on performance
Post-Internship: Full-time opportunity as AI/ML Engineer (₹6–8 LPA) based on performance
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Hands-on experience shipping real AI products used by actual customers.
Mentorship from senior engineers and industry experts in AI/ML and backend development.
Exposure to the full development lifecycle — from model training to production deployment.
Collaborative, innovative, and flexible work environment.
Accelerated growth path with a clear route to a full-time engineering role.
How to Apply
Interested candidates are invited to submit their resume and complete the assignment using
the link : https://pgagi.in/jobs/28df1e98-f0c3-4d58-9509-d5b1a4ea9754
Shortlisted candidates will be contacted for an interview.
Selection Process
Initial Screening: We'll review your application for evidence of your skills, experience, and a strong foundation in AI.
Task Assignment: Candidates need to submit assignment which is already being attached in careers page , designed to assess your practical skills.
Performance Review: Our experts will evaluate your task submission, with excellence in this stage being crucial for further consideration.
Interview: Impressive task performers will be invited for an interview to discuss their potential contribution to our team.
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Solid understanding of JavaScript / TypeScript; experience with Node.js and Next.js (or a strong willingness to learn quickly).
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Working knowledge of at least one database system (PostgreSQL, MySQL, MongoDB).
Experience with Git and GitHub version control workflows.
Exposure to AI/ML platforms such as Hugging Face and OpenAI.
Understanding of prompt engineering concepts and the model fine-tuning process.
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Hands-on experience with Next.js App Router, React Server Components, or similar modern full-stack frameworks.
Familiarity with Docker, basic DevOps concepts, or cloud platforms (AWS, GCP, or Azure).
Experience with message queues (Redis, RabbitMQ) or background task processing.
Knowledge of LLM orchestration tools such as LangChain or LlamaIndex.
SOFT SKILLS & MINDSET
Strong problem-solving instincts and a genuine curiosity about AI technology.
Ability to own tasks end-to-end and communicate progress clearly.
Comfortable working in a fast-moving environment where requirements evolve.
A growth mindset — eager to learn, receive feedback, and level up continuously.
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Node.js
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OpenAI API
GitHub
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Apply now to embark on a transformative career journey with PGAGI, where innovation and talent converge!
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