IT & Technology Trainee (Work From Home)

Location : Kochi

Candidated must be in Kerala and should be willing to relocate.

Notice Period : up to 30 days

Job Summary

We are seeking a motivated and detail-oriented Junior Azure Cloud Engineer with 2–3 years of experience in Microsoft cloud technologies. The ideal candidate will have hands-on experience in Microsoft Azure infrastructure services and Microsoft 365 administration. This role involves supporting cloud environments, managing identity and security, and assisting in cloud-based deployments and operations.

Key Responsibilities

• Manage and support Azure Entra ID (Azure Active Directory) including user management, group policies, conditional access, and identity governance.
• Configure and maintain Azure networking components such as Virtual Networks (VNet), Subnets, NSGs, VPN, and Load Balancers.
• Deploy and manage Azure Compute services including Virtual Machines, App Services, and related infrastructure.
• Administer Azure Storage services (Blob, File Shares, Backup, etc.).
• Monitor and maintain Microsoft 365 environments including Exchange Online, Teams, and SharePoint Online.
• Administer SharePoint Online sites, permissions, and configurations.
• Manage and monitor security policies using Microsoft 365 Security Center.
• Support cloud governance, compliance, and security best practices.
• Troubleshoot cloud infrastructure and M365-related issues.
• Collaborate with internal teams to support cloud migration and deployment activities.
• Document configurations, processes, and standard operating procedures.

Required Skills & Qualifications

• 2–3 years of hands-on experience in Microsoft Azure cloud services.
• Strong experience with Azure Entra ID, Azure Networking, Azure Storage, and Azure Compute services.
• Experience in Microsoft 365 Administration.
• Hands-on experience in SharePoint Online administration.
• Experience working with Microsoft 365 Security Center.
• Good understanding of cloud security, identity management, and governance.
• Strong troubleshooting and problem-solving skills.
• Good communication and documentation skills.

Nice to Have (Added Advantage)

• Experience with Azure DevOps (CI/CD pipelines, Repos, Boards, etc.).
• Basic scripting knowledge (PowerShell, Azure CLI).
• Azure or Microsoft 365 certifications.

• Troubleshooting & Issue Resolution – Diagnose and resolve hardware, software, and network issues through remote and on-site support.
• User Support & Training – Assist employees and clients with technical queries, software installations, and system configurations.
• System Maintenance & Updates – Ensure regular system updates, patches, and security fixes to maintain system integrity.
• Network & Connectivity Support – Address internet connectivity issues, VPN configurations, and firewall troubleshooting.
• Ticket Management & Documentation – Log, track, and resolve issues through a helpdesk system, ensuring timely resolution.
• Hardware & Peripheral Support – Install, configure, and maintain printers, scanners, and other IT peripherals.
• Security & Data Protection – Ensure adherence to IT security policies, managing access controls and data backup solutions.

About the Role

We are seeking motivated DevOps Interns to join our team remotely for a 3-month internship. This internship provides hands-on experience with cloud platforms, CI/CD pipelines, and automation tools. While this is an unpaid internship, interns who successfully complete the program will receive a Completion Certificate and a Letter of Recommendation.

Responsibilities

• Assist in setting up and managing CI/CD pipelines.
• Work with cloud infrastructure (AWS, Azure, or Google Cloud).
• Support deployment, monitoring, and scaling of applications.
• Automate routine operational tasks using scripts and tools.
• Collaborate with developers to improve build and release processes.
• Help maintain system reliability, security, and performance.
• Document workflows, configurations, and best practices.

Requirements

• Basic understanding of Linux/Unix systems and shell scripting.
• Familiarity with version control (Git/GitHub).
• Knowledge of CI/CD tools (Jenkins, GitHub Actions, GitLab CI, or similar).
• Exposure to containerization tools like Docker (Kubernetes knowledge is a plus).
• Understanding of cloud services (AWS, Azure, or GCP preferred).
• Problem-solving skills and willingness to learn quickly.
• Ability to work independently in a remote setup.

What You’ll Gain

• Real-world exposure to DevOps tools and workflows.
• Mentorship and guidance from experienced engineers.
• Completion Certificate after the internship.
• Letter of Recommendation based on performance.
• Opportunity to strengthen your resume and portfolio.

Internship Details

• Duration: 3 months
• Location: Remote (Work from Home)
• Stipend: Unpaid
• Perks: Completion Certificate + Letter of Recommendation

Click "Apply Now" in https://gosuperedtech.com/career/ai-system-engineer to apply

Role Overview

We are looking for a Junior AI System Engineer who is eager to build a career in AI systems, automation, backend workflows, cloud infrastructure, and intelligent product operations.

This role offers an opportunity to work closely with experienced engineers, product teams, and AI specialists on real AI-powered systems that support learners, educators, schools, and internal business operations.

At GoSuper EdTech, our cloud infrastructure is built on Google Cloud Platform — GCP. You will get hands-on exposure to GCP-based systems, backend services, AI integrations, deployment workflows, monitoring, cloud storage, databases, and automation pipelines.

You will help design, integrate, test, monitor, and maintain AI-enabled systems using modern tools such as AI APIs, LLMs, automation workflows, backend services, databases, GCP services, cloud deployment tools, and monitoring systems.

This role is ideal if you are curious about AI, comfortable with technical problem-solving, and interested in building reliable systems that connect software, data, cloud infrastructure, automation, and intelligent workflows.

What You’ll Do

• Support the development and maintenance of AI-powered systems, tools, and workflows.
• Assist in integrating AI APIs, LLM platforms, automation tools, and backend services into GoSuper products.
• Work with OpenAI, Gemini, Claude, or similar AI platforms under the guidance of senior engineers.
• Support AI and backend workflows deployed on Google Cloud Platform — GCP.
• Assist with GCP-based services such as Cloud Run, Compute Engine, Cloud Functions, Cloud Storage, Firebase, Firestore, Cloud SQL, BigQuery, Pub/Sub, Cloud Logging, and Cloud Monitoring, based on project needs.
• Help build AI workflows for content generation, chatbot systems, smart recommendations, internal automation, and productivity tools.
• Support backend integrations using Node.js, Python, REST APIs, webhooks, and third-party services.
• Assist in designing and maintaining system workflows that connect databases, applications, AI models, cloud services, and business tools.
• Work with databases such as PostgreSQL, MongoDB, Firebase, Firestore, Supabase, or similar platforms.
• Help test AI outputs, validate workflows, debug issues, and improve system reliability.
• Monitor system performance, API usage, errors, logs, workflow failures, and cloud service health.
• Support deployment, configuration, and maintenance of AI-enabled product features on GCP.
• Collaborate with product managers, developers, designers, QA teams, and business teams to understand requirements and deliver working solutions.
• Participate in daily standups, sprint planning, technical discussions, and team meetings.
• Document AI workflows, system logic, API integrations, prompts, GCP configurations, deployment steps, and troubleshooting processes.
• Continuously learn and apply best practices in AI systems, backend engineering, automation, GCP cloud infrastructure, and production support.

What We’re Looking For

• 6 months to 1 year of experience in AI systems, backend development, software engineering, automation, DevOps support, cloud support, system integration, or relevant internship/project experience.
• Basic understanding of AI tools, LLMs, APIs, automation workflows, and software systems.
• Working knowledge of JavaScript, TypeScript, or Python.
• Basic backend development experience with Node.js, Express, NestJS, FastAPI, or similar frameworks.
• Basic understanding of Google Cloud Platform — GCP or willingness to learn GCP-based deployment and monitoring workflows.
• Understanding of REST APIs, webhooks, third-party integrations, and data flow between systems.
• Interest in AI APIs, prompt workflows, chatbot systems, automation tools, and intelligent product features.
• Basic understanding of databases such as PostgreSQL, MongoDB, Firebase, Firestore, Supabase, or Redis.
• Ability to debug technical issues across APIs, workflows, logs, backend services, and cloud deployments.
• Good analytical thinking and problem-solving ability.
• Ability to write clear documentation for workflows, integrations, cloud configurations, and technical processes.
• Eagerness to learn new tools, AI platforms, system design concepts, GCP services, and cloud technologies.
• Good communication skills to work with technical and non-technical teams.
• Ownership mindset and willingness to take responsibility for assigned tasks.
• Comfortable working in a fast-paced startup environment.

Nice to Have

• Familiarity with AI APIs such as OpenAI, Gemini, Claude, or similar platforms.
• Basic understanding of prompt engineering and LLM-based workflows.
• Exposure to LangChain, LlamaIndex, embeddings, vector databases, or retrieval-augmented generation.
• Basic experience with GCP services such as Cloud Run, Cloud Functions, Firebase, Firestore, Cloud Storage, Cloud SQL, BigQuery, Pub/Sub, Cloud Logging, or Cloud Monitoring.
• Exposure to Google AI tools, Vertex AI, Gemini API, or AI-related services on GCP.
• Experience with automation tools, workflow builders, webhooks, or integration platforms.
• Exposure to Docker, CI/CD pipelines, GitHub Actions, deployment workflows, or cloud-based release processes.
• Experience working with logs, monitoring tools, API testing tools, or debugging platforms.
• Familiarity with Postman, Git, GitHub, Notion, Zoho, Slack, or similar productivity tools.
• Experience building chatbots, AI assistants, internal tools, or automated workflows.
• Personal, academic, internship, or open-source projects related to AI, automation, backend systems, GCP, or cloud tools.
• Interest in SaaS, EdTech, AI-powered products, and startup environments.

What You’ll Gain

• Hands-on experience building AI-powered systems in a real startup environment.
• Practical exposure to AI APIs, LLM workflows, automation systems, backend services, and GCP cloud infrastructure.
• Mentorship from senior engineers and product leaders.
• Experience working across AI, backend engineering, databases, APIs, integrations, deployment, system monitoring, and cloud operations.
• Opportunity to contribute to real product features used by learners, educators, schools, and institutions.
• Exposure to SaaS product development, EdTech workflows, AI-driven business solutions, and GCP-based production systems.
• Learning culture that encourages experimentation, feedback, and continuous improvement.
• Opportunity to understand how AI systems are designed, deployed, monitored, scaled, and improved in production.
• Access to Cult Elite and Cult Play Pass, offering wellness and lifestyle benefits to keep you energized and inspired.

Compensation

• Competitive salary with performance-based bonuses.
• Equity ownership through ESOPs — own a piece of the company you help build.
• Flexible remote work options with occasional Bengaluru office meetups.
• Health and wellness perks, including Cult Elite membership and Cult Play Pass for employees.
• Learning and development support to help you grow in AI systems, backend engineering, automation, SaaS, and GCP cloud technologies.
• Team retreats, virtual hangouts, and a collaborative work culture.

We are looking for a AI System Engineer who is eager to build a career in AI systems, automation, backend workflows, cloud infrastructure, and intelligent product operations. Apply in https://gosuperedtech.com/career/ai-system-engineer

Role Overview 

We are looking for passionate and driven interns across multiple technology domains including Frontend Development, Backend Development, DevOps, AI/ML, and Data Engineering. This internship offers hands-on experience in real-world projects, collaboration with cross-functional teams, and exposure to modern tools and technologies. 

Domains & Responsibilities 

Frontend Development 

• Build responsive and user-friendly web interfaces  
• Translate UI/UX designs into functional applications  
• Optimize performance and ensure cross-browser compatibility  

Backend Development 

• Develop APIs and server-side logic  
• Work with databases and data storage solutions  
• Ensure application security and performance  

DevOps 

• Assist in CI/CD pipeline setup and automation  
• Manage deployments and cloud infrastructure  
• Monitor system performance and reliability  

Job Title: Backend Developer Trainee

Location: Indore, Madhya Pradesh

Experience: 0–6 Months

Job Type: Full-Time | Work From Office

Job Overview

TechnoToil is looking for a motivated Backend Developer Trainee who is eager to learn, build scalable applications, and work with modern backend technologies. The ideal candidate should have a strong learning attitude and be comfortable using AI tools in development workflows.

Roles & Responsibilities :- 

• Develop and maintain backend applications and APIs.
• Write clean, efficient, and maintainable code.
• Work with databases and perform basic database operations.
• Assist in developing, testing, debugging, and optimizing backend functionality.
• Integrate APIs and third-party services as required.
• Collaborate with frontend developers and other team members.
• Use AI tools to improve coding, debugging, documentation, and development productivity.
• Learn and adapt to new backend technologies and development practices.
• Follow coding standards and development best practices.

Requirements:-

• Graduation must be completed.
• 0–6 months of experience; freshers and trainees are welcome.
• Basic understanding of backend development concepts.
• Knowledge of any backend programming language/framework is an advantage.
• Good communication and problem-solving skills.
• Strong willingness to learn and grow.
• Candidate must be comfortable working with AI tools as part of the development process.
• Ability to work effectively in a team.

Job Location:-

2nd Floor, Building Number 79, Main Road, Behind C21 Mall, Scheme 54 PU4, Indore

As an intern for the Artificial Intelligence business automation team, you will be focusing on researching and developing AI tools that automate some parts of our business automation. As business automation is important throughout the firm, you will have the opportunity to collaborate with teams across Springer. 

Skills and Qualifications Required • Bachelor's or Master's degree in Information Technology, Computer Science, or a related analytical discipline. • 3–5+ years of experience in application support, software support, or business systems support roles. • Hands-on experience supporting NetSuite is mandatory. • Experience with NSAR, including access management and governance processes, is highly preferred. • Strong customer service, stakeholder management, and relationship-building skills. • Willingness to work in US business hours and support a 24x7 operational environment when required. • Proficiency in Microsoft Office applications, including Excel, PowerPoint, Teams, Outlook, and Word. • Advanced to expert-level proficiency in Microsoft Excel, including data analysis and reporting. • Strong analytical, troubleshooting, and problem-solving capabilities. • Ability to manage multiple priorities and work effectively in a fast-paced environment. • Excellent verbal and written communication skills, with the ability to independently engage and support US-based stakeholders. • Ability to work both independently and collaboratively within cross-functional teams. • Demonstrated ability and eagerness to learn and support new business applications such as CaseLocker, Ragic, Salesforce, and DocuSign. • Exposure to Salesforce, Ragic, CaseLocker, and DocuSign is considered an advantage. • Familiarity with AI tools such as Microsoft Copilot or similar platforms for productivity, automation, and operational efficiency is preferred.