Applied Engineer

Endgame Systems, LLC

6d • $111,000 - $152,000 • Remote

About The Position

Endgame Systems, LLC, a subsidiary of Elastic, the Search AI Company, empowers organizations to harness the power of their data in real time, at scale, driving business innovation and success. Elastic is rapidly growing its Federal Services Team to support public sector customers with opportunities to support customers across the U.S. and internationally.
As an Applied Engineer at Elastic, you will work directly with our most strategic customers to own, deliver, and implement mission driven outcomes. You will act as a trusted technical advisor, guiding strategy, architecture, design, and engineering. The ideal candidate is technically adept, mission driven, and skilled in building strong customer relationships.
We believe the best solutions come from those closest to the problem. When you join our team, we empower you to define the technical direction rather than just following a pre-defined path. We champion an environment where autonomy is encouraged and expected. We provide the vision, but we give you the freedom to build, experiment, and own your technical decisions as you create high-impact solutions for our customers.

Requirements

• Eligible for a U.S. Federal security clearance (TS/SCI or higher).
• You are a builder. You solve complex problems with simplicity.
• Proficiency of Infrastructure as Code (IaC) tooling
• Demonstrated ability as a software engineer with at least one language (e.g., Java, Python, JavaScript, Golang).
• Experience working with customers to gather requirements, plan, and deliver technical solutions aligned with business needs.
• Proficiency in designing, implementing, and optimizing solutions with Elasticsearch or similar distributed data technologies.
• Strong understanding of Linux, Unix, and Windows operating systems, including command-line interfaces.
• Familiarity with information retrieval and analytics domains.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
• Experience with databases, including SQL, Elasticsearch, Redis, MongoDB, or similar NoSQL technologies.
• Ability to quickly learn and adapt to new Elastic technologies.

Nice To Haves

• Certifications or expertise in technologies like Ansible, GitHub, Kubernetes, Docker, Kafka, Redis, or cloud platforms (AWS, Azure, GCP).
• Familiarity with network data, cybersecurity data, and system logs.
• Elastic Certified Engineer
• Elastic Certified Analyst
• Elastic Certified Observability Engineer

Responsibilities

• Architect, build and implement robust security architectures and data pipelines
• Architect and implement Infrastructure as Code (IaC) patterns and tailored automation frameworks to ensure scalable, secure, and repeatable environment deployments for customer on-boarding
• Bring disparate enterprise data to AI agents
• Engineer advanced search architectures by implementing and ingesting data for sparse and dense vectors within the Search AI Platform
• Architect and optimize elasticsearch for massive-scale ingest of IT, OT, geopoint, and other mission data.
• Build strong relationships as a customer advocate, ensuring excellent communication and collaboration.
• Develop and present demos and proof-of-concepts that showcase the value of the Elastic Stack.
• Conduct data modeling, query development, vector embedding, optimization, and cluster tuning for scalable, high-performance search and analytics.

Benefits

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Double your charitable giving - We match up to $1500 (or local currency equivalent)
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with minimum of 16 weeks of parental leave
• company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings
• stock program

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed