Backend Engineer Application -2

Detect Technologies

Chennai

Hybrid

INR 600,000 - 1,200,000

Full time

4 days ago
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Job summary

Detect Technologies Pvt Ltd. is seeking a Platform Engineer to design, build, and maintain a scalable platform powering AI-driven industrial solutions. You will collaborate with cross-functional teams to translate requirements into robust APIs, services, and automated deployments.

The role emphasizes reliability, security, and performance, with hands-on work in containerization, cloud platforms, and modern DevOps practices. Prior experience in platform engineering is preferred.

Qualifications

  • 1-2+ years of experience in Platform Engineering.
  • Proficiency in Python, Django and Flask.
  • Experience with cloud platforms (AWS, Azure, GCP).
  • Hands-on with Docker and Kubernetes.
  • Strong knowledge of Git, Linux, and databases (RDBMS/NoSQL).
  • Familiarity with AI APIs and tools a plus.

Responsibilities

  • Architect, design, and develop scalable platform components.
  • Implement robust APIs and services for integration and data processing.
  • Ensure platform reliability, security, and performance via monitoring and updates.
  • Develop and maintain IaC to automate deployment and resource management.
  • Optimize CI/CD pipelines and container orchestration workflows.
  • Collaborate with product and delivery teams and other engineering groups.

Skills

Python
Django
Flask
Git
SQL/NoSQL
JIRA
PyUnit
Linux
AWS
Azure
GCP
Docker
Kubernetes
Networking
Security
AI APIs
Angular

Education

Bachelors/Masters in Computer Science Engineering

Tools

Docker
Kubernetes
AWS
Azure
GCP
GitHub Copilot
OpenAI API

Job description

Job Description

We are seeking a highly skilled and motivated Platform Engineer to join our talented engineering team. As a Platform Engineer, he/she will play a critical role in designing, developing, and maintaining the scalable, reliable, and secure platform that powers our advanced industrial solutions. You will work closely with cross-functional teams to ensure our platform meets the evolving needs of our customers and supports the deployment of our AI-driven technologies.

Key Responsibilities
Design and Development:
  • Architect, design, and develop scalable and high-performance platform components.
  • Design application using SOLID principles.
  • Implement robust APIs and services to support application integration and data processing.
  • Collaborate with software engineers, data scientists, and product managers to understand requirements and deliver effective solutions.
Platform Maintenance:
  • Ensure the reliability, security, and performance of the platform through continuous monitoring and improvement.
  • Implement best practices for system health monitoring, logging, and monitoring systems.
  • Perform regular system updates, patches, and security enhancements.
Automation and Infrastructure:
  • Develop and maintain infrastructure as code (IaC) to automate the deployment and management of platform resources.
  • Optimize CI/CD pipelines to streamline development workflows and reduce deployment times.
  • Implement and manage containerization and orchestration technologies (e.g., Docker, Kubernetes).
Collaboration and Support:
  • Work closely with the Product and Delivery team to align platform capabilities with operational needs.
  • Independently collaborate with other engineering teams to address and resolve platform-related issues.
Innovation and Continuous Improvement:
  • Stay up-to-date with emerging technologies and industry trends.
  • Propose and implement improvements to enhance platform functionality, performance, and scalability.
  • Participate in code reviews, design discussions, and team meetings to foster a culture of innovation and excellence.
Requirements
Education:
  • Bachelors/Master's degree in Computer Science Engineering
Experience:
  • 1-2+ years of experience in Platform Engineering
Technical Skills:
  • 2+ experience as a Platform Engineer, DevOps Engineer.
  • Strong knowledge in Python, Django and Flask framework.
  • Strong knowledge in Git.
  • Good knowledge in RDBMS/No SQL.
  • Good knowledge in JIRA, PyUnit.
  • Basic knowledge in Linux and Linux commands.
  • Experience with cloud platforms (AWS, Azure, GCP).
  • Hands‑on experience with containerization (Docker) and orchestration (Kubernetes).
  • Solid understanding of networking, security, and database management.
  • Good to have knowledge of AI. Experience designing or working with AI agents and LLM‑powered workflows (e.g., LangChain, LlamaIndex, OpenAI API, or similar).
  • Proficiency in using AI‑assisted coding tools (GitHub Copilot, Cursor, Claude Code, etc.) to improve development speed and quality.
  • Solid understanding of networking, security, and database management.
  • Preferable: Working knowledge of Angular for frontend development and cross functional collaboration.

Good to have: Experience with prompt engineering and agentic system design

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