Job Description

Senior Software Engineer - Elastic - TS/SCI Eligible - San Antonio, TX onsite Job Description 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. 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 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 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 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. Benefits Medical, Dental, Vision, Unlimited Vacation, Sick Leave, Paid Federal Holidays, Education and Certification Reimbursement Program, 401(k) retirement plan with safe harbor employer match after 3 months, Prepaid legal plan and ID protection plan available, Accident Insurance, Critical Illness Insurance, and Hospital Indemnity Insurance available. EEOC Statement IPSecure is an Affirmative Action Employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, disability or status as a protected veteran. IPSecure Inc

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