DevOps Engineer (with Python/Java for cloud-based AI applications exp.)

Luxoft; United Kingdom; Remote; GBP 60,000 - 80,000; Full time

Job summary

A prominent software development company is seeking a skilled DevOps engineer in the United Kingdom. The ideal candidate will have extensive experience in Java/Python deployment automation, Unix shell scripting, and cloud technologies like AWS. Responsibilities include building automation tools, troubleshooting inquiries under pressure, and standardizing workflows across environments. This role involves working closely with traders and developers in a dynamic environment.

Qualifications

• 5+ years of Java/Python deployment automation experience is essential.
• Solid Unix shell scripting experience is a must.
• 2+ years as an SRE/DevOps engineer with a focus on production systems.

Responsibilities

• Build automation tools and provide ongoing support.
• Troubleshoot inquiries and outages effectively.
• Standardize workflows across QA, UAT, and PROD environments.

Skills

Java/Python deployment automation

Unix shell scripting

SRE/DevOps experience

Cloud technologies (AWS/GCP/Azure)

Communication skills

Tools

Docker

Jenkins

Ansible

Job description

Project description

We've been developing trading software for our partner - a top-tier hedge fund - for over 10 years. One of the teams develops deployment pipelines for AI applications. With evolving tech stack, we are looking for a new DevOps engineer join it. You will work with traders and portfolio managers, developers, QA engineers, and other fellow DevOps engineers.

Responsibilities

• Build automation tools and support them
• Troubleshoot inquiries and outages - should be able to work under pressure.
• Standardize workflows and keep QA, UAT, and PROD in sync.

SKILLS

Must have

• 5+ years of Java/Python deployment automation
• Solid Unix shell scripting experience
• 2+ years of experience as an SRE/DevOps engineer responsible for deployment and maintenance of production systems
• Experience with Cloud technologies (AWS/GCP/Azure)
• An appetite for process re-engineering and automation
• Good communication skills

Nice to have

• AWS specific experience in EC2, Lambda, RDS and SageMaker
• Building pipelines in Jenkins using Groovy
• Docker Containers, Ansible
• Experience with systems and IT support on setting up CI/CD pipelines
• Experience with trading applications, financial instruments, trade lifecycle