AI Platform & DevOps Engineer

ECMS# *

532555

Number of openings

1

Job Title*

AI Platform & DevOps Engineer

Work Location (with ZIP code for US)

Hyderabad

Vendor Rate*

12000 INR/day

Contract duration (in months)*

12 months

Job Description

Job Description:

• Design, implement, and manage container orchestration systems using Docker and Kubernetes (AKS)


• Deploy and manage AI applications on Azure, ensuring scalability and reliability.


• Knowledge on Azure and opensource AI models and usage.


• Knowledge on Security tools like Nexus or Blackduck to have a DevSecOps mindset.


• Setup and maintain continuous integration and continuous deployment (CI/CD) pipelines using tools such as Gitlab CI or Jenkins.


• Setup observability tools like langfuse or ELK or DataDog.


• Develop and maintain scripts to automate various deployment and system tasks.


• Manage toolchain installations, including version control systems, artifact repositories, and build tools.


• Collaborate with development and operations teams to ensure a seamless and effective deployment pipeline.


• Monitor and maintain systems to ensure high availability and performance under restrictive network infrastructure.


• Stay informed about new technologies and incorporate them into existing processes when appropriate.


• Report progress, issues, and solutions clearly and concisely to management and stakeholders.

Qualifications

• Experience: Minimum of 5-10 years of relevant experience in DevOps.


• Containerization: Expertise in Docker, Docker Swarm setup and use.


• Orchestration Technologies: Proficient in Azure Kubernetes Service (AKS) or other similar orchestration technologies.


• Deployment: Experience with deploying applications on Azure.


• CI/CD Tools: Working knowledge and experience with Gitlab CI and Jenkins for continuous deployment.


• Operating Systems: Proficient in working with Linux operating systems.


• Tool Chain: Experience with installation and configuration of toolchains including Git, Nexus, Maven, Jenkins.


• Scripting: Skilled in writing scripts to automate tasks and workflows (e.g., Bash, Python).


• Build Tools: Experienced with build tools such as Maven or Gradle or NPM


• Methodologies: Familiar with Agile-Scrum methodologies.


• Communication: Fluent in English with the ability to clearly communicate complex technical information.


• Learning and Adaptability: Demonstrates a willingness to investigate and learn new technologies quickly.


• Work Under Pressure: Ability to perform effectively under pressure, especially in a restrictive network infrastructure.

Mandatory Skills:

2.Working knowledge and experience with Gitlab CI and Jenkins for continuous deployment. Deploy and manage AI applications on Azure, ensuring scalability and reliability.

Knowledge on Azure and opensource AI models and usage.

3. Expertise in Docker, Docker Swarm setup and use. Knowledge on Security tools like Nexus or Blackduck to have a DevSecOps mindset.

Good to Have Skills:

2. Proficient in working with Linux operating systems.

Experience

8-10 years