DevOps / Full-Stack Engineer (Intern)

About Biz-Tech Analytics

Biz-Tech Analytics

DevOps / Full-Stack Engineer

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

• Strong 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

  .
• Good 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

  .