job summary: 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. location: San Antonio, Texas job type: Permanent salary: $140,000 - 160,000 per year work hours: 9am to 5pm education: Bachelors 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. 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 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 skills: Analyze data to create and develop machine learning modelsPerform software quality assurance and testing using a variety of technologiesExperience working with git at the command-lineExperience working with the Linux CLI and Linux scriptingExperience 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. Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com. Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility). This posting is open for thirty (30) days.