Amazon Web Services (AWS)
Docker
Kubernetes
PythonJob description
Overview
The infrastructure for regulation-compliant AI. Train and deploy generative AI for the large enterprise.It is the most private solution for enterprise AI. Achieve best-in-class and compliant AI at the fraction of the time and cost. It is an enterprise AI platform that provides state-of-the-art and regulatory-compliant AI for a fraction of the cost. It simplifies model training across privacy-critical datasets using Federated Learning and Differential Privacy.
Ø Roles & Responsibilities:-
Proven experience as a DevOps Engineer or similar role, with a strong focus on AWS, Docker, and orchestration.
- In-depth knowledge of AWS services and infrastructure, including EC2, VPC, RDS, S3, IAM, and CloudWatch.
- Expertise in containerization technologies like Docker and container orchestration platforms such as AWS ECS or Kubernetes.
- Experience with infrastructure-as-code (IaC) tools like AWS CloudFormation or Terraform or AWS CDK.
- Strong scripting skills (e.g., Bash, Python) and proficiency in automating infrastructure provisioning and deployment processes.
- Familiarity with monitoring and logging tools such as AWS CloudWatch, ELK stack, or Prometheus.
- Knowledge of CI/CD practices and tools like Jenkins, Github Actions CI/CD, or AWS CodePipeline.
- Solid understanding of networking concepts, security best practices, and troubleshooting methodologies in a cloud environment.
- Ability to setup our on-prem software in a customer's cloud environment
Location-remote/bangalore
P.S-Only IIT madras, IIT Bombay, IIIT Hyderabad, atlassian,google,slack,zoom,e-commerce,internet & product based startup companies
Shubham Vishwakarma
Full Stack Developer - Averlon
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Preferred Candidate Profile
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React Native
Javascript
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iOS App Development
Objective C
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Java
Spring BootPlease find the JD details below.
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon