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Description
Leidos is seeking a highly adaptable
Platform Integration Engineer to support mission-critical solutions across various laboratory environments. This role focuses on addressing complex, mission-specific challenges by developing, implementing, and integrating applications on bare metal or cloud infrastructure, migrating systems to the cloud, and debugging advanced technical stacks. The engineer will work in dynamic lab settings, collaborating with cross-functional teams to solve unique problems critical to national security, defense, or scientific advancements. The role demands flexibility, technical expertise, and the ability to rapidly adapt to diverse mission requirements.
Key Responsibilities
- Develop and implement applications on bare metal or cloud infrastructure, ensuring scalability and performance.
- Migrate applications and data from on-premises network and IT assets to cloud environments, ensuring minimal disruption.
- Debug and troubleshoot cloud stacks, identifying and resolving issues in software and hardware components.
- Perform data conversion, process design, and architecture setup to support application integration.
- Integrate software applications with cloud platforms, ensuring seamless functionality and interoperability.
- Synchronize information and data systems to maintain consistency and compatibility across platforms.
- Design, build, and maintain workflows and tools to streamline software engineering processes, driving consistency and accelerating common tasks.
- Collaborate with cross-functional teams to define requirements, develop solutions, and ensure project milestones are met.
- Document technical processes, system configurations, and integration workflows for knowledge sharing and compliance.
Basic Qualifications
- Bachelor’s degree with 8+ years of experience or a Master’s Degree with 6+ years of experience. Additional experience maybe considered in lieu of a degree.
- Active TS//SCI security clearance with Poly
- Proven expertise in developing and deploying applications on bare metal and/or cloud infrastructure (e.g., AWS, Azure, Google Cloud).
- Strong experience in migrating applications and data from on-premises systems to cloud environments.
- Proficiency in debugging and troubleshooting complex cloud stacks, including software and hardware components.
- Hands-on experience with data conversion, process design, and application architecture setup.
- Knowledge of integrating software applications with cloud platforms and ensuring interoperability between data sources.
- Familiarity with designing and maintaining workflows and tools to enhance software engineering efficiency.
- Strong problem-solving skills and the ability to work independently or in a team environment.
- Excellent communication skills to collaborate with technical and non-technical stakeholders.
Preferred Qualifications
- Advanced certifications in cloud platforms (e.g., AWS Certified Solutions Architect, Microsoft Azure Administrator, Google Cloud Professional Engineer).
- Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
- Familiarity with CI/CD pipelines and DevOps practices.
- Knowledge of scripting languages (e.g., Python, Bash) for automation and workflow optimization.
- Experience working in Agile or Scrum environments.
- Familiarity with SMF
Why Leidos?
- Innovative Environment: Work on cutting-edge technologies that solve real-world challenges.
- Career Growth: Access to professional development, training, and mentorship programs.
- Comprehensive Benefits: Competitive salary, health and wellness programs, retirement plans, and flexible work options.
- Impactful Work: Contribute to mission-critical projects that make a difference.
Original Posting
June 10, 2025
For 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.
Pay Range
The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
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