About Biz-Tech Analytics

At Biz-Tech Analytics, we build production-grade AI and data-driven solutions that help businesses turn complex data into actionable intelligence. Our work spans AI training data, annotation workflows, automation, and scalable technology infrastructure supporting real-world AI systems.

We are looking for a DevOps / Full-Stack Engineer who can work across application development, backend systems, cloud infrastructure, deployment, and system reliability. The ideal candidate is someone who enjoys building things end-to-end and can take ownership from development to production.

Key Responsibilities

- Design, develop, and maintain scalable full-stack web applications and internal platforms.
- Build and maintain robust backend services, REST APIs, and integrations.
- Develop responsive and functional frontend interfaces when required.
- Manage and improve cloud infrastructure, servers, networking, and deployment environments.
- Set up and maintain CI/CD pipelines for automated testing, deployment, and release management.
- Containerize applications using Docker and manage containerized workloads.
- Monitor application and infrastructure performance, availability, and reliability.
- Troubleshoot production issues and work on root-cause analysis and resolution.
- Implement appropriate logging, monitoring, alerting, and observability practices.
- Manage databases, data storage, backups, and access controls.
- Implement secure authentication, authorization, RBAC, and other application security practices.
- Collaborate with AI/ML engineers and other technical teams to deploy and integrate AI-driven applications and services.
- Optimize systems for performance, scalability, reliability, and cost efficiency.
- Automate repetitive development and infrastructure workflows.
- Maintain technical documentation and contribute to engineering best practices.

Required Skills

- Solid proficiency in at least one backend language such as Python, Node.js, Java, or Go.
- Experience with modern frontend technologies such as React, Next.js, or similar frameworks.




- Strong understanding of REST APIs, backend architecture, databases, and distributed systems.
- Hands-on experience with Docker and containerization.
- Experience with CI/CD tools and deployment pipelines.
- Working knowledge of cloud platforms such as AWS, Azure, or GCP.
- Valuable understanding of Linux, networking, servers, and system administration.
- Experience with relational databases such as PostgreSQL/MySQL and familiarity with NoSQL databases is a plus.
- Understanding of Git, version control, branching, and collaborative development workflows.
- Familiarity with monitoring and logging tools.
- Strong debugging and problem-solving skills.

Good to Have

- Experience with Kubernetes or other container orchestration platforms.
- Experience with Terraform, Ansible, or other Infrastructure-as-Code tools.
- Experience deploying AI/ML applications or inference services.
- Familiarity with cloud-native architecture and microservices.
- Experience with authentication systems, RBAC, API security, and secrets management.
- Familiarity with Redis, message queues, or event-driven architectures.
- Experience working with NVIDIA GPUs, AI infrastructure, or model-serving systems.
- Exposure to MLOps workflows and machine learning deployment.

What We're Looking For

- Someone who can work across both software development and infrastructure.
- Strong ownership and ability to take a feature or system from development to production.
- Ability to troubleshoot independently and solve problems systematically.
- Comfortable working in a fast-paced environment with changing requirements.
- Strong communication and collaboration skills.
- A practical, engineering-focused mindset with an emphasis on building reliable production systems.

Why Join Biz-Tech Analytics?
- Work on real-world AI, automation, and data-driven technology.
- Build and manage systems that support production AI workflows.
- Work closely with engineering, AI/ML, and business teams.
- Take meaningful ownership of infrastructure and product development.
- Opportunity to work across Full-Stack Engineering, DevOps, Cloud, and AI infrastructure.

📌 DevOps / Full-Stack Engineer (New Delhi)
🏢 Biz-Tech Analytics
📍 New Delhi