
Engineering Apprentice – 2026 Batch
Diligent

Diligent Corporation is hiring Engineering Apprentices from the 2026 graduating batch to join its engineering teams in Bengaluru. This one-year apprenticeship offers fresh graduates the opportunity to work on enterprise-scale SaaS products powered by AWS, microservices, and modern cloud technologies. Apprentices will contribute to backend services, collaborate with experienced engineers, participate in architecture discussions, and gain exposure to AI-powered features, intelligent automation, and serverless application development in a real-world engineering environment.
This apprenticeship is designed for graduates who want practical experience building scalable cloud applications while learning modern software engineering practices in a collaborative enterprise environment. You'll work alongside experienced developers, contribute to production-ready services, and strengthen your understanding of cloud-native development, DevOps workflows, and AI-driven applications.
🚀 Why This Opportunity Stands Out
Unlike many apprenticeship programs focused only on training, Diligent allows apprentices to contribute to actual engineering projects. You'll help develop secure backend services, work with AWS infrastructure, and understand how enterprise software is designed, deployed, and monitored.
2026 Graduates Only
The engineering team follows modern Agile practices where every member contributes ideas during planning sessions, technical discussions, sprint reviews, and product demonstrations.
🛠 Technologies You'll Work With
The role exposes candidates to a modern cloud technology stack used in enterprise SaaS platforms.
Some of the primary technologies include:
TypeScript
Node.js
REST APIs
AWS
Docker
PostgreSQL
Git
React
Angular
Candidates may also gain exposure to serverless computing, monitoring tools, deployment pipelines, and cloud-native architecture patterns.
🌐 AI & Cloud Learning Exposure
Diligent is actively integrating Artificial Intelligence into its products. Apprentices interested in AI will have opportunities to explore intelligent automation and machine learning concepts while working with experienced engineering teams.
Preferred areas of knowledge include:
Python scripting
Prompt Engineering
Large Language Models (LLMs)
LangChain
LlamaIndex
TensorFlow
PyTorch
scikit-learn
AWS Bedrock
AWS SageMaker
Amazon Textract
Amazon Comprehend
pandas
NumPy
Understanding these technologies is beneficial but not mandatory for selection.
💼 What You'll Be Doing
As an Engineering Apprentice, your daily responsibilities may include:
Developing RESTful APIs using Node.js and TypeScript
Building and maintaining cloud-based microservices
Supporting migration of services to AWS Serverless architecture
Writing clean, reusable, and maintainable code
Fixing bugs and improving application performance
Participating in sprint planning and code reviews
Collaborating with frontend and backend developers
Monitoring deployed services
Learning enterprise software development practices
Assisting with AI-powered workflow implementations
Every project is reviewed by senior engineers, giving apprentices continuous technical guidance throughout the program.
🎯 Eligibility Requirements
Candidates should meet the following criteria:
2026 Bachelor's graduate in Computer Science, Engineering, Mathematics, or a related discipline
Strong understanding of programming fundamentals
Knowledge of Node.js or TypeScript
Experience building REST APIs
Familiarity with React or Angular
Basic SQL knowledge (PostgreSQL preferred)
Understanding of Docker containers
Knowledge of Git version control
Important Government Apprenticeship Requirement:
Candidates must not have previous EPFO/ESIC registration through full-time employment.
Students who completed internships without EPFO or ESIC registration as part of their academic curriculum remain eligible.
📚 Skills That Can Strengthen Your Profile
Although not mandatory, recruiters may value candidates who have:
AWS Cloud certifications
Personal backend projects
Docker deployment experience
GitHub portfolio
Open-source contributions
Terraform basics
CI/CD knowledge
Python automation scripts
AI or Machine Learning coursework
Database optimization projects
Practical projects often demonstrate engineering potential better than theoretical knowledge alone.
🤝 Team Environment
Diligent follows a collaborative engineering culture where teams own their services from development to deployment and production monitoring. Apprentices work closely with experienced software engineers, architects, QA engineers, and product managers while following Agile development methodologies.
The role also provides opportunities to present completed work during sprint demos and engineering discussions, helping improve both technical and communication skills.
📈 Career Benefits
This apprenticeship offers valuable exposure to enterprise software development using modern cloud technologies. Candidates will strengthen their understanding of distributed systems, backend engineering, DevOps workflows, cloud infrastructure, and AI-powered software development while working on production-grade applications.
Experience gained during the apprenticeship can be valuable for future Software Engineer, Backend Developer, Cloud Engineer, DevOps Engineer, and Full Stack Developer roles.
🔑 Keywords for Resume
Node.js • TypeScript • REST APIs • AWS • Docker • PostgreSQL • Git • React • Angular • Microservices • Serverless Computing • CI/CD • Terraform • Python • Machine Learning • LLMs • LangChain • Agile Methodology • Cloud Computing • Problem Solving
💡 Final Thoughts
The Diligent Engineering Apprentice 2026 program provides fresh graduates with an opportunity to work on modern cloud applications, scalable backend systems, and AI-enabled software solutions. Candidates with strong programming fundamentals, curiosity for continuous learning, and interest in cloud technologies can gain meaningful industry experience while working alongside experienced engineering professionals.
The above article is written by me, a person interested in technology, automobiles, modern gadgets, movies, music, and clean aesthetics.



