Job Description
Infrrd
Trainee DevOps Engineer
Full -Time
Bangalore, Karnataka
Infrrd is an award-winning AI firm focused on applying machine learning to improving business processes. The company’s platform employs next-generation AI capabilities to help enterprises transform their businesses. Proprietary technology removes bottlenecks caused by manual data entry and unlocks data from complex documents to power digitization.Infrrd’s unique ML-first approach can automatically extract data from documents with complex visual elements, surpassing OCR’s performance limitations to help you maximize straight-through processing.
Any Degree
Freshers
1. A Good Engineering or master’s degree from a reputed university in Computer Science, Information Science or Information Technology (year of graduation-2024) with an aggregate of 60% throughout academics.
2. Basic Understanding of AWS: Familiarity with AWS cloud services such as EC2, S3, RDS, Lambda, etc.
3. Scripting Knowledge: Basic understanding of scripting languages such asPython, Bash, or PowerShell.
4. Version Control: Familiarity with version control systems like Git.
5. Problem-Solving Skills: Strong analytical and problem-solving skills.
6. Eagerness to Learn: A passion for learning new technologies and staying up-to date with industry trends.
7. Communication Skills: Good verbal and written communication skills.
8. Operating Systems: Experience working with Linux and Windows operating
systems
9. Good Aptitude & Trouble the Trouble Attitude
10. Knowledge of Object-Oriented Programming (OOP’s) concepts
11. Ability and strong willingness to learn, explore and master new emerging technologies.
12. Excellent communication, analytical and problem-solving skills
13. Positive attitude and work ethic, passionate about the web and the desire to challenge own limit.
1. Assist in AWS Cloud Management: Support the team in managing AWS cloud infrastructure, including EC2 instances, S3 buckets, RDS databases, VPCs, and other AWS services.
2. Automation and Scripting: Learn to develop automation scripts using languages like Python, Bash, or PowerShell to streamline deployment and management tasks.
3. CI/CD Pipelines: Assist in the creation, maintenance, and optimization of Continuous Integration and Continuous Deployment (CI/CD) pipelines using tools like Jenkins or similar.
4. Monitoring and Logging: Help set up and maintain monitoring and logging systems using AWS CloudWatch, ELK Stack, Prometheus, Grafana, or other relevant tools.
5. Infrastructure as Code (IaC): Learn and assist in writing infrastructure as code using tools like Terraform, or Ansible.
6. Security and Compliance: Assist in implementing security best practices and compliance requirements within the AWS environment.
7. Collaboration: Work closely with developers, QA engineers, and other stakeholders to ensure smooth deployment and operation of applications.
8. Learning and Development: Continuously learn and stay updated with AWS
9. services and DevOps best practices.
We are the creators of a proprietary Intelligent Document Processing platform that automates data extraction from complex and messy unstructured documents. For over a decade, we’ve been building expertise in Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Neural Networks and much much more.
