June 26, 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.
- Will be responsible for Development and Testing of Data Integration Workflows (ETL Packages, Stored Procedures, UDF, Ad Hoc-Queries), Test Plans and Test Cases using Microsoft Technologies such as SSIS, SSAS and SQL Server Database, as well as company-wide Document Management.
- Leadership (if applicable): Motivates employees to exercise their talents to the fullest and holds them accountable for their best efforts; provides support to develop potential skills for improved individual growth and trains and empowers subordinates effectively.
Write and maintain automated scripts (using tools like Terraform or Ansible) to deploy cloud resources Assist DevOps teams by supporting developers that build pipelines that enable rapid, reliable, and automated application delivery Maintain consistency across environments by using immutable infrastructure principles, reducing deployment drift Monitor cloud environments for performance bottlenecks and execute capacity planning Diagnose and resolve complex, cloud-related issues during outages with minimal disruption to services Set up proactive monitoring, logging, and alerting using tools like Datadog, CloudWatch, or Prometheus Participate in on-call rotations to support production services, perform root cause analysis, and handle routine maintenance| Skills. They will collaborate across NYPA IT daily to implement Infrastructure as Code (IaC), manage and provision systems and services, and optimize costs and security across major platforms like Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). |