We are seeking a highly skilled and detail-oriented DevOps Engineer to join our Front Office Equities Development team. The ideal candidate will have extensive experience in scripting application development and continuous integration/continuous deployment (CI/CD) processes. This role is crucial for driving efficiency and elevating operational excellence within our trading environment.
Key Responsibilities:
Collaborate with development and operations teams to design implement and manage CI/CD pipelines and automated deployment processes.
Develop and maintain UNIX shell scripts to facilitate system automation and enhance operational workflows.
Design develop and support Java and Python applications to meet trading business needs.
Manage and optimize databases using MS SQL and Snowflake to ensure high performance and reliability.
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.
Qualifications:
Masters degree in Computer Science Engineering or a related field with a minimum of 3 years of relevant work experience OR a Bachelors degree with a minimum of 5 years of relevant work experience.
Strong proficiency in UNIX Scripting Java and Python.
Experience with MS SQL Snowflake and PowerBI for data management and visualization.
Knowledge of CI/CD tools such as Jenkins Ansible and DevOps best practices.
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).
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.
Preferred Skills:
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.