About Us
We are an AI-first technology company building enterprise software, cloud platforms, AI agents, intelligent automation solutions, and digital transformation products. We believe AI should automate engineering, operations, and business processes—not just assist developers.
We are looking for an ambitious engineer who enjoys solving problems across DevOps, software development, cloud infrastructure, AI, and automation. This role offers the opportunity to work on enterprise projects while helping build next-generation AI-powered platforms.
Key ResponsibilitiesDevOps & Cloud Infrastructure
- Manage Linux servers and cloud infrastructure
- Configure and maintain AWS, Azure, GCP, DigitalOcean, Hetzner or similar cloud platforms
- Build and maintain CI/CD pipelines
- Deploy and manage Docker containers and Kubernetes clusters
- Configure Nginx, Apache, SSL certificates, DNS and networking
- Monitor production environments and infrastructure health
- Configure backups, disaster recovery and business continuity
- Implement security hardening, patch management and system updates
- Perform infrastructure documentation
- Troubleshoot production incidents and performance issues
- Support database infrastructure (PostgreSQL, MySQL, MongoDB, Redis)
Software Development
- Develop applications using Python
- Build REST APIs and backend services
- Work with FastAPI (preferred)
- Develop automation tools and internal platforms
- Integrate third-party APIs
- Build scalable microservices
AI Engineering
- Develop AI-powered applications using Claude, OpenAI and other LLMs
- Build Agentic AI systems
- Develop Retrieval-Augmented Generation (RAG) applications
- Build AI Agents for enterprise automation
- Integrate Vector Databases (Qdrant, Pinecone, ChromaDB or similar)
- Develop AI-powered workflows
- Build intelligent automation solutions
- Work with MCP (Model Context Protocol) servers and AI tool integrations
AI DevOps (AIOps)
- Use Claude Code and other AI development tools to accelerate software engineering and DevOps
- Automate infrastructure provisioning using AI
- Automate CI/CD pipelines using AI
- Build AI-assisted deployment workflows
- Use AI to automate monitoring, incident response, log analysis and troubleshooting
- Develop autonomous AI agents that reduce manual DevOps effort
- Continuously identify repetitive engineering tasks and replace them with AI-powered automation
- Evaluate and implement emerging AI tools that improve engineering productivity
Required SkillsDevOps
- Linux Administration
- Docker
- Kubernetes (basic knowledge acceptable)
- Git & GitHub
- GitHub Actions / GitLab CI / Jenkins
- Infrastructure as Code (Terraform or Ansible)
- Nginx
- Networking
- DNS
- SSL
- Monitoring & Observability
- Backup & Disaster Recovery
- Security Hardening
- Bash Scripting
- Database Administration
Programming
- Strong Python
- REST APIs
- FastAPI (preferred)
- SQL
- NoSQL Databases
- JavaScript/TypeScript (basic knowledge preferred)
AI Skills
- Claude Code
- OpenAI APIs
- Prompt Engineering
- Agentic AI
- RAG Applications
- Vector Databases
- MCP (Model Context Protocol)
- AI API Integrations
- AI Workflow Automation
Nice to Have
- n8n
- LangGraph
- CrewAI
- AutoGen
- OCR & Document AI
- Knowledge Graphs
- Redis
- PostgreSQL
- Elasticsearch/OpenSearch
- Prometheus
- Grafana
Ideal Candidate
- 2–4 years of experience in DevOps, Python or Cloud Engineering
- Strong analytical and problem-solving skills
- Passionate about AI and automation
- Self-driven and eager to learn new technologies
- Comfortable working independently on enterprise projects
- Excellent communication and documentation skills
- Able to take ownership of production systems
What You'll Work On
- Enterprise cloud infrastructure
- AI-powered business applications
- Agentic AI platforms
- AI DevOps (AIOps)
- Enterprise automation solutions
- Intelligent workflow platforms
- Large Language Model (LLM) integrations
- Cloud-native software development
- Digital transformation projects
Why Join Us?
- Work with the latest AI technologies
- Build enterprise-grade AI products
- Opportunity to lead AI automation initiatives
- Exposure to cloud, DevOps, AI and enterprise software in one role
- Continuous learning and innovation-focused environment
- Opportunity to grow into a Technical Lead or AI Platform Architect
Salary
Competitive salary based on skills and experience.
Fresh graduates with exceptional practical skills, GitHub projects, AI experience, or strong open-source contributions are also encouraged to apply.
Pay: ₹16,000.00 - ₹30,000.00 per month
Work Location: In person
