Job Description

A Sr Cloud Engineer will be working with the engineering team and focusing on AWS infrastructure and automation, A key part of the role would be working closely with the operations and DevOps to build, manage and automate our customersAWS Infrastructure using Terraform, working on CI/CD pipelines to automate recurring tasks and developing software components as containerized applications using Python.

Must be proficient in:

At least 7+ years of experience in (L3 Skills) (AWS, Linux, Terraform, Kubernetes, Jenkins)

Must have in- depth knowledge in Python, should be able to develop codes.

Experience working in AWS/Azure/GCP Cloud technologies

Practical experience with Docker containerzation and Clustering (Kubernetes/EKS)

Design, test and implement continuous integration and deployment pipelines using bitbucket/github, Jenkins.

Experience working with different services like Ec2, RDS, IAM, VPC, Lambda in AWS.

Experience in creating Infrastructure in AWS using Terraform/Cloudformation.

Strong terraform skills to deploy infrastructure as a code.

Having Grafana is a plus(link removed)>

Nice to have:

Should demonstrate strong Troubleshooting skills

Setup and management of Kubernetes Cluster, including writing Dockerfile and Helm charts

Strong understanding of DNS, TCP/IP, SSL, Firewalls and Networking concepts (VPC, Subnetting, VPNs, etc)

Experience with configuration management tools (E.g Ansible, Chef)

Understanding of Monitoring tools (NewRelic, Pagerduty, Splunk, Cloudwatch etc)

Strong Communication and documentation skills

Ability to learn and apply new technologies through self-Learning

Understanding of Monitoring tools (NewRelic, Pagerduty, Splunk, Cloudwatch etc)

Experiencing of working in Biosciences domain.

Certifications (Desirable) :

1. AWS Solution Architect Associate or Up

2. AWS DevOps Associate or Up