# Cloud DevOps Engineer

**Company**: FIC & Risk Technology
**Location**: Miami, Florida, United States of America
**Work arrangement**: onsite
**Experience**: mid
**Job type**: full-time
**Category**: Engineering
**Industry**: Finance

**Apply**: https://mlp.eightfold.ai/careers/job/755955154859
**Canonical**: https://yubhub.co/jobs/job_1963e2d1-add

## Description

We are seeking a skilled Cloud DevOps Engineer to join our Commodities Technology team. As a Cloud DevOps Engineer, you will work closely with quants, portfolio managers, risk managers, and other engineers to develop data-intensive and multi-asset analytics for our Commodities platform.

Responsibilities:

- Collaborate with cross-functional teams to gather requirements and user feedback

- Design, build, and refactor robust software applications with clean and concise code following Agile and continuous delivery practices

- Automate system maintenance tasks, end-of-day processing jobs, data integrity checks, and bulk data loads/extracts

- Stay up-to-date with industry trends, new platforms, and tools, and develop a business case to adopt new technologies

- Develop new tools and infrastructure using Python (Flask/Fast API) or Java (Spring Boot) and relational data backend (AWS – Aurora/Redshift/Athena/S3)

- Support users and operational flows for quantitative risk, senior management, and portfolio management teams using the tools developed

Qualifications:

- Advanced degree in computer science or any other scientific field

- 3+ years of experience in CI/CD tools like TeamCity, Jenkins, Octopus Deploy, and ArgoCD

- AWS Cloud infrastructure design, implementation, and support

- Experience with multiple AWS services

- Infrastructure as Code deploying cloud infrastructure using Terraform or CloudFormation

- Knowledge of Python (Flask/FastAPI/Django)

- Demonstrated expertise in the process of containerization for applications and their subsequent orchestration within Kubernetes environments

- Experience working on at least one monitoring/observability stack (Datadog, ELK, Splunk, Loki, Grafana)

- Strong knowledge of Unix or Linux

- Strong communication skills to collaborate with various stakeholders

- Able to work independently in a fast-paced environment

- Detail-oriented, organized, demonstrating thoroughness and strong ownership of work

- Experience working in a production environment

- Some experience with relational and non-relational databases

Nice to have:

- Experience with a messaging middleware platform like Solace, Kafka, or RabbitMQ

- Experience with Snowflake and distributed processing technologies (e.g., Hadoop, Flink, Spark)

## Skills

### Required
- CI/CD tools like TeamCity, Jenkins, Octopus Deploy, and ArgoCD
- AWS Cloud infrastructure design, implementation, and support
- Infrastructure as Code deploying cloud infrastructure using Terraform or CloudFormation
- Python (Flask/FastAPI/Django)
- Containerization for applications and their subsequent orchestration within Kubernetes environments