• Designing, developing, testing, and maintaining high-performance, real-time software for autonomous systems using modern C++. • Implementing and integrating advanced algorithms for autonomous control, sensor fusion, machine learning, and mission planning. • Architecting and developing software that adheres to the Open Mission Systems (OMS) standard, promoting modularity, interoperability, and rapid capability integration across diverse platforms. • Collaborating within a multi-disciplinary team of world-class engineers, researchers, and military subject matter experts to translate operational needs into technical requirements and software solutions. • Participating in the entire software development lifecycle, from requirements analysis and design to integration, testing, and deployment. • Analyzing and optimizing software for performance, scalability, and reliability on target hardware. • Creating and maintaining thorough documentation for software designs, APIs, and test procedures. • Learn new technologies, frameworks, and operational procedures as needed. • Other duties as assigned.

• Ensure our technology deliverables have a solid, scalable architecture • Monitor the code quality of your team • Design and plan architectures and infrastructure • Select the best technologies for each project • Collaborate with professionals from different areas • Communicate clearly and adapt to constant change • Use Git, Docker, AWS/Azure/GCP, CI/CD, testing and code review

• Own advanced troubleshooting for Microsoft 365 and Intune issues. • Work closely with onshore leads/architects, security, identity, messaging/collaboration, and networking teams. • Deliver scoped engineering tasks aligned to project plans. • Configure and support Microsoft Intune and core M365 services. • Implement and maintain endpoint security configurations.

• Architect and own the Elastic Stack (Elasticsearch, Logstash, Beats/Elastic Agent, Kibana) supporting high-volume security telemetry ingestion, detection, and search. • Direct implementation experience with ECK is required. • Design data models, index lifecycle management (ILM) strategies, sharding, and hot-warm-cold tiering for petabyte-scale, multi-tenant security data. • Build and harden ingestion pipelines from EDR, network, cloud, and log sources into the Elastic Stack, in partnership with detection engineering. • Tune cluster performance — query latency, indexing throughput, resource allocation — and drive capacity planning for growth. • Own Elastic Stack security, upgrades, and reliability, including runbooks, monitoring, and incident response for the platform itself. • Evaluate and roll out new Elastic capabilities (e.g., Elastic Security, ES|QL, machine learning jobs) that improve detection speed and analyst experience. • Set technical direction for and mentor a small team of Elastic engineers, establishing standards, review practices, and on-call structure for the platform. • Document architecture decisions, standards, and best practices, and represent the Elastic platform in cross-functional planning and vendor (Elastic) conversations.