DevOps Engineer

Key Responsibilities:

Architect and maintain secure, scalable environments for fixed-income trading systems.

Develop robust CI/CD pipelines using tools like Jenkins, Git, and Octopus Deploy.

Implement containerization (Docker, Kubernetes, LXC) and manage microservices-based deployments.

Administer cloud infrastructure in Azure and AWS, optimizing for performance and uptime.

Utilize Azure Batch for large-scale compute tasks, integrate Azure ML for machine learning ops, and manage Azure Databricks for data analytics workflows.

Support a hybrid infrastructure with minimal downtime and high reliability.

Manage development environments and tooling for Python, TypeScript, React, and JavaScript.

Collaborate with development teams to enhance testing, deployment, and local development workflows.

Maintain both Linux and Windows systems, ensuring operational stability.

Tune and manage SQL and NoSQL databases supporting critical trading operations.

Oversee messaging and queueing systems (e.g., RabbitMQ, Celery) for background job processing.

Orchestrate and monitor complex workflows and ETL pipelines using Airflow and related tools.

Implement monitoring/logging solutions using Prometheus, Grafana, ELK Stack, Splunk, etc.

Uphold security and compliance practices with regular audits and remediation processes.

Partner with stakeholders to troubleshoot infrastructure issues and streamline processes.

Drive automation and adopt emerging technologies to enhance operational efficiency.

Participate in agile workflows, continuously refining and improving the deployment pipeline.

Qualifications:

Education:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field from a top-tier university.

Experience:

5-10 years of hands-on experience in DevOps or Site Reliability Engineering roles, ideally within the financial or trading sector.

Deep experience with infrastructure automation, CI/CD, and modern DevOps practices.

Proven success managing hybrid cloud/on-prem environments, especially within Azure and AWS.

Strong background supporting software teams using Python, JavaScript/TypeScript, React, and C++.

Demonstrated experience migrating legacy systems to the cloud.

Skilled in database optimization, infrastructure monitoring, and network/messaging configuration.

Technical Skills:

DevOps & Infrastructure:

Infrastructure-as-Code (Terraform, Bicep, CloudFormation)

Hybrid cloud experience with Linux/Windows systems

Container orchestration with Kubernetes (AKS, EKS, on-prem) and Docker

CI/CD & Developer Tooling:

Jenkins, GitHub/GitLab, Octopus Deploy, TeamCity

Python tooling: pip, poetry, conda

Deployment strategies: blue/green, IaC-CI/CD integration

Observability & Monitoring:

Tools like Datadog, Prometheus, ELK Stack, Grafana, Splunk

Programming & Scripting:

Strong scripting in Python and Bash

Backend processing using Celery, RabbitMQ

Data & Workflow Management:

Apache Airflow, ETL pipeline design

Azure Batch, Azure ML, and Azure Databricks

Database & Networking:

Deep knowledge of SQL and database tuning

Security best practices, compliance, and performance tuning in distributed environments

Desired Skills and Experience

DevOps

CI/CD

Docker

Kubernetes

Azure

Python, TypeScript, React, JavaScript

Linux

Windows

Prometheus, Grafana