We are looking for passionate and motivated Associate Software Engineers who are
eager to work on modern technologies including Full Stack Development, AI/ML,
Cloud, Automation, and Infrastructure-Aware Applications.
This role is ideal for fresh graduates who enjoy problem-solving, building scalable
applications, researching emerging technologies, and working closely with
development and infrastructure teams.
You will gain hands-on exposure to modern software engineering practices, cloud-
native development, AI-assisted workflows, DevOps culture, and scalable system
design.
Key Responsibilities
Design, develop, test, and maintain scalable web applications and APIs.
Work on modern full-stack development using React.js, Node.js, and Python.
Collaborate with Product, QA, DevOps, Cloud, and Infrastructure teams.
Participate in AI/ML and automation-driven product development initiatives.
Research and evaluate emerging technologies, frameworks, and tools.
Develop clean, optimized, reusable, and well-documented code.
Troubleshoot application, infrastructure, and performance-related issues.
Assist in building cloud-native and containerized applications.
Work with Linux-based environments for deployment and debugging.
Contribute to CI/CD automation and DevOps workflows.
Analyze system bottlenecks and recommend performance optimizations.
Document technical designs, R&D findings, and implementation best practices.
Continuously improve technical, analytical, and communication skills
Required Skills & Qualifications
Good programming knowledge in Node.js, JavaScript, or TypeScript, Python.
Understanding of frontend frameworks such as React.js or Next.js.
Familiarity with databases such as MongoDB or PostgreSQL.
Basic understanding of REST APIs, JSON, and microservices concepts.
Knowledge of Linux operating systems and command-line tools.
Understanding of networking fundamentals and web technologies.
Strong analytical, logical reasoning, and debugging skills.
Good written and verbal English communication skills. Ability to learn new technologies quickly and adapt to modern development
practices.
Awareness of AI/ML concepts, Generative AI tools, and automation workflows.
Added Advantage
Knowledge of Cloud Platforms: AWS, Azure, OpenStack, or GCP.
Exposure to Docker, Kubernetes, CI/CD, Jenkins, GitHub Actions, or Ansible.
Knowledge of OpenSearch, Redis, or message queue technologies.
Understanding of cybersecurity, system monitoring, or observability tools.
Experience with Golang or additional programming languages.
Contributions to GitHub, open-source projects, internships, or hackathons.
Technical certifications such as RHCE, AWS, Azure, CCNA, Kubernetes, etc
What We Offer
Opportunity to work on modern AI-driven and cloud-native technologies.
Exposure to real-world enterprise and infrastructure projects.
Collaborative learning environment with mentorship from experienced
engineers.
Career growth opportunities in Full Stack, AI/ML, Cloud, DevOps, and Platform
Engineering.
Hands-on experience with emerging technologies and R&D initiatives.
