DevOps Engineer - Bengaluru, India - Datafoundry
Description
Position: SoftwareEngineer/Senior Software Engineer
Experience Level: 3-8 Years
Location: Bangalore, Hyderabad & Vizag
About Datafoundry AI:
We're Datafoundry, a dedicated team of data scientists, life sciences experts, and technology geeks. Our mission is to help and optimize deep learning models for maximum impact. We have the expertise to help you with all aspects of the data driven business. Who we think will be a great fit? We are seeking an energetic, responsible person to join our growing organization. In this position, you will be expected to work on the data curation, preparation of datasets, and data pipeline setup. If you think you have what it takes in respect to the skills, the personality and willingness to be in a self-improving and self-challenging position with a lot of freedom and responsibility then please reach us with your CV, we would be happy to have a discussion
General Skills:
Tool chain Management: Select, configure, and maintain the tools and technologies used for continuous integration, continuous deployment, version control, monitoring, and automation. Hands on experience with BitBucket/ GitHub/ Jenkins/ Sonar/Trivy
Infrastructure Management: Design, deploy, and manage infrastructure using cloud services and infrastructure as code (IaC) tools CI/CD/IAC/CAC in Azure/ AKS/Terraform/Ansible.
Release Management: Coordinate the release process, ensuring smooth and reliable delivery of software updates.
Azure: Thorough understanding of infra/ network provisioning in Azure.
Cloud. Azure DevOps: End to end Azure DevOps implantation for CI/CD.
Monitoring and Performance: Monitoring /Trouble shooting skills to detect and address issues proactively, and optimize system performance using Zabbix/ Prometheous/ Graffana and other related tools.
Other Skills: Git, Networking, Linux, Azure Cloud, Micro Services-Containerization (Docker), Orchestration (Kubernetis)
Scripting: Shell/Groovy/ YAML/ Python and Preferable to have : Go/ Ruby/ YCL/and Declarative L
APIs /API Managers :- Azure/ WSO2 API Managers, AWS Route53/ Ingress, Load Balancers
Databases: PostGres/SQL/Elastic Search/ Open Search/ Redis
MLOps Skills:
Expertise in ML frameworks (eg. Tensorflow,Pytorch) and MLOps tools (eg Kubeflow, MLflow)
Strong proficiency in programming languages relevant to ML and data processing such as Python.
Solid knowledge of data management, processing, and analytics best practices in a clinical research or healthcare setting.
Deep understanding of cloud computing platforms (e.g., Azure, AWS, GCP) and their services related to AI/ML deployments.
Experience with CI/CD pipelines, containerization technologies (e.g., Docker, Kubernetes), and infrastructure as code.