Fort Worth, TX27 days ago
May 17, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.
As a Full Stack Lead Developer, you will be responsible for migrating existing Ruby on Rails application to a new architecture built with Angular and Ionic (using Capacitor for mobile) using micro-front-end architecture to ensure smooth integration across web and mobile platforms. Design and implement reusable components like AUTH Guard for routing and session management, including token handling, refresh tokens, and expiry logic to maintain a smooth, authenticated experience across web and mobile platforms.
Implement and manage database replication and migration solutions using AWS DMS and Oracle GoldenGate, enabling reliable data movement, synchronization, and modernization initiatives. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs.
strong>What you ll be doing - Set up SageMaker Unified Studio platform domain configuration, project provisioning, persona-based roles, and multi-environment (Dev, Prod-UAT, Prod) promotion workflows. You will migrate the organization from a fragmented ML toolchain to a unified, governed platform on AWS Landing Zone 2, covering the full ML lifecycle from data discovery through model deployment and monitoring.
li>Batch Processing and Data Integration: Significant experience with batch processing, data integration, automated data processing, and data warehousing solutions like Snowflake, including managing data pipelines.
Kafka and Data Streaming: Proven experience with Apache Kafka, including designing and implementing event-driven architectures, data pipelines, and real-time data streaming solutions.
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