DevSecOps Engineer Front Office

Brains Workgroup • New York, NY

11d • Hybrid

About The Position

We are seeking a highly skilled and detail-oriented DevSecOps Engineer to join our Front Office Equities Development team. The ideal candidate will have extensive experience in Java, scripting, application development, and continuous integration/continuous deployment (CI/CD) processes.

Requirements

• BS or MS degree in Computer Science, Engineering, or a related field with a minimum of 3 years of relevant work experience, Bachelor’s degree with a minimum of 5 years of relevant work experience.
• Strong proficiency in Java, Some UNIX Scripting and Python is a plus.
• Experience with SonaType, SonarQube (or similar) scanning tools is a plus
• Experience with CI/CD tools such as Jenkins, Ansible, and DevOps best practices.
• Experience with Jenkins, Nexus, Gitlab.
• Hands-on experience with Tomcat, SpringBoot 3, and message brokers like Kafka and Active MQ.
• Familiarity with distributed caching systems (Hazelcast) and search/analytics tools (Elastic Search, Kibana, Splunk) is a plus
• Proven ability to work effectively under pressure in a fast-paced environment with little context.
• Strong analytical and problem-solving skills with attention to detail.

Nice To Haves

• Experience in the finance sector, particularly within Equities trading or related fields.
• Knowledge of Kubernetes and containerization technologies (Docker).
• Strong communication skills and the ability to collaborate with both technical and non-technical stakeholders.

Responsibilities

• Collaborate with development and operations teams to design, implement, and manage CI/CD pipelines and automated deployment processes. Experience with SonarQube and SonaType Tools is a big plus
• Design, develop, and support Java applications to meet trading business needs. Python skills is a plus.
• Utilize configuration management tools (Ansible) to maintain consistent environments across development, testing, and production.
• Monitor and troubleshoot applications and infrastructure using tools such as Splunk, Elastic Search, Filebeat, and Kibana.
• Administer and maintain application servers (Tomcat) and microservices deployed on SpringBoot 3.
• Implement and manage message queues using Kafka and Active MQ for efficient data flow across applications.
• Enhance and refine system performance using distributed caching solutions like Hazelcast.
• Work closely with cross-functional teams to understand requirements and deliver solutions with minimal supervision in a fast-paced environment.

What This Job Offers

• Career Level: Mid Level