Software Developer Elastic Stack

Description
Leidos is seeking a highly skilled Software Developer with expertise in the Elastic Stack (Elasticsearch, Logstash, Kibana, Beats) to support the Integrated Defensive Cyber Systems Contract.
This role is part of a high-profile program, contributing to mission-critical products designed for senior leadership.
Responsibilities include development, upgrades, maintenance, R&D, and testing.
The ideal candidate will have AWS cloud development experience, including secure cloud integrations, optimized cloud connectivity, and managed cloud services.
This position is onsite near Lackland Air Force Base.
If you're looking for an opportunity to work on impactful projects that shape the future of cyber defense, apply today!
Primary Responsibilities:

Design, develop, and manage scalable data ingestion pipelines using Logstash, Beats, and other methods to support real-time and batch data processing.
Build and maintain advanced Elasticsearch queries and aggregations to support complex data analysis, reporting, and business insights.
Design, customize, and maintain Kibana dashboards and visualizations to deliver clear, actionable data insights for technical and non-technical stakeholders.
Develop and support backend services and APIs for seamless interaction with the Elastic Stack, ensuring data accessibility and system integration.
Optimize the performance, scalability, and reliability of Elasticsearch clusters, proactively addressing bottlenecks and ensuring high availability.
Diagnose and resolve technical issues across the Elastic Stack, including ingestion, indexing, querying, and visualization layers.
Collaborate with cross-functional engineering teams through code reviews, architectural discussions, and integration testing to ensure high-quality deliverables.
Stay current with Elastic Stack developments and emerging technologies, applying best practices to continuously improve system capabilities.
Contribute to the architecture and evolution of the enterprise data platform, aligning solutions with business and technical goals.
Actively participate in agile workflows, including sprint planning, daily stand-ups, and retrospectives to drive iterative improvements and team alignment.
Basic Qualifications:

Requires BS degree and 8+ years of prior relevant experience or Masters with 6+ years of prior relevant experience, additional years of experience will be accepted in lieu of a degree.
Minimum 10 years of professional experience in software development, with a focus on scalable, distributed systems.
At least 5 years of hands-on experience with the Elastic Stack (Elasticsearch, Logstash, Kibana, Beats), including design, implementation, and optimization.
Deep understanding of Elasticsearch indexing strategies, search query design, and aggregation techniques for performance and accuracy.
Proven expertise in configuring and maintaining Logstash pipelines, including filters, conditionals, and plugin integrations.
Demonstrated ability to create, customize, and maintain Kibana dashboards and visualizations for both technical and business users.
Proficiency in at least one modern programming language, such as Java, Python, or Go, for backend development and automation.
Solid experience in building and integrating RESTful APIs, with a clear understanding of HTTP protocols and best practices.
Familiarity with version control systems, particularly Git, including branching strategies and collaborative workflows.
Strong analytical and problem-solving abilities, with a track record of diagnosing and resolving complex technical issues.
Excellent communication and teamwork skills, with experience collaborating in cross-functional and agile development environments
Must possess an active Secret clearance and ability to obtain TS/SCI clearance is required to be considered
Preferred Qualifications:

Analyze data to create and develop machine learning models
Perform software quality assurance and testing using a variety of technologies
Experience working with git at the command-line
Experience working with the Linux CLI and Linux scripting
Experience with Elastic Cloud or other cloud-based Elasticsearch deployments.
Experience with Elasticsearch security features.
Experience with other data processing technologies (e.g., Kafka, Spark).
Experience with containerization technologies (e.g., Docker, Kubernetes).
Elastic certifications.
Original Posting:
April 29, 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:
Pay Range $104,650.00 - $189,175.00 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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