We are seeking a highly experienced and motivated Elastic Stack Engineer to join our dynamic team and play a critical role in building and maintaining our enterprise data platform. This position focuses on designing and managing scalable data ingestion pipelines, optimizing Elasticsearch performance, and delivering actionable insights through advanced Kibana visualizations. You will be responsible for developing backend services, supporting complex query logic, and ensuring the reliability and efficiency of our Elastic Stack infrastructure. The ideal candidate will bring deep technical expertise, hands-on experience across the Elastic Stack ecosystem, and a passion for solving complex data challenges in a collaborative, agile environment. An active Secret clearance and the ability to obtain a TS/SCI clearance are required.
We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to
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10+ years of professional experience in software development, with a focus on scalable, distributed systems.
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.
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.
Analytical and problem-solving abilities, with a track record of diagnosing and resolving complex technical issues.
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
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.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.