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Diligent Recruitment 2026
Diligent
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1 day ago
Key Responsibilities
Develop robust, secure, and scalable microservices powering Diligent’s SaaS governance platform.
Build serverless cloud solutions in TypeScript using AWS architecture.
Take end-to-end service ownership from writing clean code to automated deployment and monitoring.
Collaborate on building AI-enhanced platform capabilities and intelligent automation workflows.
Participate actively in technical design reviews, architecture discussions, and team demos.
Skills & Eligibility
Please read before applying:
This opportunity is strictly for Freshers applying for Diligent’s 1-Year Engineering Apprenticeship Program.
Candidates must not have been previously employed or undergone Aadhaar seeding with EPFO / ESIC through any prior employer.
As per Government Apprenticeship rules, candidates whose Aadhaar has already been linked due to prior full-time employment are ineligible.
Candidates who completed academic curriculum internships without statutory EPFO / ESIC registration remain fully eligible.
Graduating in 2026 with a Bachelor’s Degree (B.E / B.Tech / B.Sc) in Computer Science, Engineering, Mathematics, or a related quantitative field.
Strong foundation in problem-solving and software engineering fundamentals.
Proficiency in developing RESTful APIs using Node.js and/or TypeScript based on OpenAPI specifications.
Hands-on skills in building modern web interfaces using frontend frameworks like Angular or React.
Solid understanding of Git version control and source code management best practices.
Experience working with Docker containers and containerization concepts.
Practical experience with SQL databases, preferably PostgreSQL.
Hands-on experience with Amazon Web Services (AWS), AWS CDK, or Terraform.
Basic understanding of CI/CD deployment principles and automated pipelines.
Demonstrated curiosity about AI/ML through coursework, projects, or self-directed learning.
Scripting and data processing experience using Python (pandas, numpy).
Familiarity with AI frameworks (TensorFlow, PyTorch, scikit-learn) or AWS AI services (SageMaker, Bedrock, Comprehend, Textract).
Interest in prompt engineering, Large Language Models (LLMs), and AI orchestration tools (LangChain, LlamaIndex).
Graduating in 2026 with a Bachelor’s Degree (B.E / B.Tech / B.Sc) in Computer Science, Engineering, Mathematics, or a related quantitative field.
Strong foundation in problem-solving and software engineering fundamentals.
Proficiency in developing RESTful APIs using Node.js and/or TypeScript based on OpenAPI specifications.
Hands-on skills in building modern web interfaces using frontend frameworks like Angular or React.
Solid understanding of Git version control and source code management best practices.
Experience working with Docker containers and containerization concepts.
Practical experience with SQL databases, preferably PostgreSQL.
Hands-on experience with Amazon Web Services (AWS), AWS CDK, or Terraform.
Basic understanding of CI/CD deployment principles and automated pipelines.
Demonstrated curiosity about AI/ML through coursework, projects, or self-directed learning.
Scripting and data processing experience using Python (pandas, numpy).
Familiarity with AI frameworks (TensorFlow, PyTorch, scikit-learn) or AWS AI services (SageMaker, Bedrock, Comprehend, Textract).
Interest in prompt engineering, Large Language Models (LLMs), and AI orchestration tools (LangChain, LlamaIndex).
Note:
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