Jobs at Leidos

Designs, automates, secures, and supports production cloud infrastructure and platform services across Azure and/or AWS. Responsibilities include Infrastructure as Code, networking, identity, security controls, CI/CD pipelines, monitoring, observability, backup and recovery, container platforms, vulnerability remediation, and technical documentation. The role also supports cloud governance, landing zones, environment separation, platform automation, incident diagnosis, and controlled change processes.

Leads business analysis for technology-enabled transformation, translating strategic outcomes and stakeholder needs into prioritized, testable requirements. Responsibilities include capability mapping, process and operating model design, requirements traceability, user stories, acceptance criteria, process re-engineering, data modeling, migration analysis, UAT support, change impact assessment, and benefits mapping. The role also facilitates workshops, mentors analysts, and establishes analysis standards while collaborating across business, architecture, engineering, and testing teams.

Business Analyst gathers and analyzes requirements for technology-enabled change, facilitates stakeholder workshops, models current and future processes, and creates user stories, acceptance criteria, and traceability artifacts. The role supports backlog refinement, prioritization, design and test reviews, data and business rule analysis, UAT, training, transition, and business change activities across the delivery lifecycle.

Designs, builds, operates, and supports secure, governed data pipelines and services for reporting, integration, migration, and analytics. Responsibilities include ingestion, transformation, validation, publishing, data modeling, quality controls, lineage, metadata, access controls, migration, monitoring, troubleshooting, and documentation. The role collaborates with analysts, architects, developers, and business stakeholders across cloud data environments.

The Business Analyst will elicit and analyze stakeholder needs, model current and future processes, define requirements, create user stories and acceptance criteria, and maintain traceability throughout delivery. Responsibilities include facilitating workshops, supporting backlog refinement and prioritization, analyzing data and business rules, assisting design and testing reviews, and supporting UAT, training, transition, and business change activities.

Leads engineering strategy, architecture, delivery, and productionisation for a secure cloud Data Intelligence Platform. Designs ingestion, streaming, transformation, lakehouse, serving, API, and feature-pipeline capabilities while establishing data quality, governance, lineage, observability, CI/CD, infrastructure-as-code, resilience, and FinOps standards. Coordinates analytics, ML, security, infrastructure, suppliers, and operations; manages technical priorities and risks; supports governance decisions; and mentors data engineers.