Senior Elastic Engineer

Job Description

Everforth ECS is seeking a skilled Senior Elastic Engineer to influence the design, operation, and evolution of our enterprise Elastic SIEM solution. This role is central to ensuring the platform remains secure, highly available, and optimized to support mission-critical analytics, search, observability, and security workloads across the organization.

The Senior Elastic Engineer will work collaboratively as part of a dedicated engineering team, serving as a technical leader in guidance, mentorship, and influence within the Elastic Stack. They will proactively detect problems, identify emerging risks, and implement preventative measures to maintain a stable and resilient environment.

A core responsibility of this role is to drive thoughtful solution execution that simplifies operations and improves reliability. The Elastic Engineer will participate in change control processes, maintain rigorous configuration management practices, and ensure the platform adheres to security and compliance standards. They will also support adjacent teams including SRE, DevOps, and Security while providing guidance on best practices for data ingestion, dashboards, and alerts.

This role will also partner closely with the Elastic vendor, engaging in support escalations, roadmap discussions, and collaborative planning around product innovation and new use cases. The Elastic Engineer will help ensure ECS leverages emerging platform capabilities, stays aligned with best practices to continuously improve the platform maturity through a strong vendor relationship.

The ideal candidate will bring strong experience in creative thinking and client facing solution execution using the Elastic Stack to enable stakeholders to transform platform data into meaningful insights. Ultimately, the Elastic Engineer will contribute to a culture of continuous improvement, advancing ECS's Elastic capabilities to deliver a robust, scalable, and high-performing platform.

Salary: $108,000 - $163,000

General Description of Benefits

Required Skills

• US citizenship with ability to obtain and maintain Public Trust Suitability
• 4+ years general experience architecting, deploying, and maintaining core facets of the Elastic Stack which include Elasticsearch and Kibana
• 2+ years' experience with Elastic Agent to include deployment, configuration of agent policies, and troubleshooting common problems
• Experience managing data ingestion for Elasticsearch use cases
• Experience with monitoring the Elastic Stack and resolving common issues
• Experience with process control improvement
• Comfortable leveraging Elastic APIs through Dev Tools and/or ad-hoc Scripting
• Strong communication skills with ability to translate difficult technical discussion into business language
• Skilled at designing clear, efficient technical delivery plans that drive high-quality outcomes and predictable execution
• Bachelor's degree in computer science, engineering, or a related field
• Experience leading a team or serving in a senior mentorship level role
• Experience leveraging Kafka as a data queue for Elasticsearch ingestion
• Experience with major version Elastic Stack upgrades to 9.x
• Experience migrating and/or deploying to Elastic Cloud Hosted
• Experience working in an Agile/SAFe environment using ALM tools (Jira, Confluence, or similar)
• Strong understanding of CI/CD principles and platforms (Jenkins, CircleCI, GitLab, GitHub Actions, Argo, Travis CI, etc.)
• Knowledge of version control platforms and branching strategies
• Knowledge of disaster recovery planning, backup strategies, and data replication
• Experience supporting large Federal programs ($200M+)
• Experience with Vector, Semantic, and Lexical Search techniques.
• Hands-on experience designing or implementing Retrieval-Augmented Generation (RAG) solutions.
• Experience working with LLMs and GenAI frameworks and tooling.
• Familiarity with AgentAI Builder or agent-based AI architectures.
• Experience applying GenAI to enterprise search, observability, or security data.
• Elastic Certified Engineer or related Elastic certifications.
• Experience with Elasticsearch Enterprise Search use cases.
• Familiarity with complementary search technologies (OpenSearch, Solr, Lucene).
• Understanding of cybersecurity, observability, or operational data domains.
• Exposure to Agile or project-based delivery models.

#EverforthECS1

ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law.

Everforth ECS is the federal segment of Everforth, a $4B global organization with over 10,000 employees. Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies.

Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow.

We value:

• Attracting and developing top talent and high-performing teams
• Fostering a culture that is engaging, accountable, and mission-driven

Meet the challenge. Make a difference with Everforth ECS!