Bachelor s degree in computer science or a related discipline or equivalent work experience required 6 - 8 years of application or infrastructure related experience required experience in the securities or financial services industry is a plus 10 years of experience in infrastructure engineering DevOps or site reliability roles Hands-on experience with Kubernetes Docker HELM and GitLab CI CD Proficiency in Python and Bash Shell scripting for automation and operational tooling Familiarity with enterprise tools such as JIRA ServiceNow and Azure AD Working knowledge of networking fundamentals and storage systems especially as they apply to distributed AI systems Solid documentation and collaboration skills in a cross-functional fast-paced environment Willingness to participate in weekend or after-hours support rotations as needed Educational Background Bachelor s or Master s degree in Computer Science Data Engineering or a related field Technical Expertise Proven experience in building and maintaining scalable data pipelines using tools such as Java Python SQL DBT Spark Kafka and Airflow AI ML Experience Hands-on experience in deploying machine learning models into production environments with a strong understanding of model lifecycle and performance optimization Cloud Big Data Proficiency Familiarity with cloud platforms e g AWS Azure GCP and big data technologies Snowflake Communication Skills Strong analytical and communication skills to translate complex data insights into actionable business strategies