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Raft

Lead Engineer

Raft

. Drive architectural decisions across the [R]AIMS platform, evaluating performance, scalability, security, and maintainability tradeoffs .

Posted 10/21/2026full-timeRemote • United StatesSenior💰 $180,000 - $230,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and shipping production software systems across the full stack, with a strong focus on distributed systems architecture, performance optimization, and AI/ML integration. Proven ability to lead technical initiatives, mentor engineers, and engage with stakeholders in high-stakes environments.

Highest-signal resume keywords
Distributed Systems DesignKubernetes ExpertiseAI/ML IntegrationTechnical LeadershipSecurity+ Certification Eligibility

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Full Stack DevelopmentSystem DesignPerformance OptimizationCloud-Native ArchitectureService DecompositionFault ToleranceObservabilityData-Intensive SystemsReal-Time InferenceOperational AI Systems
Soft Skills
Technical CommunicationMentoringInfluential Leadership
Tools & Technologies
KubernetesCloud PlatformsAI/ML Tools
Certifications & Qualifications
Security+ CertificationTop Secret/SCI Clearance Eligibility
Industry Keywords
DefenseNational SecurityClassified ProgramsAgentic SystemsEvent-Driven Architectures

Tech Stack

Tools & technologies
CloudDistributed SystemsKubernetes

About the role

Key responsibilities & impact
  • Drive architectural decisions across the [R]AIMS platform, evaluating performance, scalability, security, and maintainability tradeoffs
  • Lead major technical epics from conception through delivery
  • Simplify and rationalize distributed system architecture as the platform scales
  • Optimize platform performance across edge and cloud deployment targets
  • Establish reusable engineering patterns that improve developer productivity and code quality
  • Mentor engineers, conduct design reviews, and provide substantive code feedback
  • Partner with AI/ML engineers on model integration, inference optimization, and operational deployment of agentic workflows
  • Engage directly with Department of Defense customers and program stakeholders
  • Evolve the architecture, execution, and engineering rigor of Raft’s [R]AIMS AI Mission System
  • Deliver coherent, documented architecture; timely, high-quality platform initiatives; stronger engineering execution; and reduced platform complexity

Requirements

What you’ll need
  • 6+ years of hands-on experience building and shipping production software systems across the full stack (frontend, backend, infrastructure, and ML)
  • Deep software engineering fundamentals and ability to design, build, and evolve complex systems that perform reliably at scale
  • Exceptional technical communication skills and ability to lead through influence across engineering, product, and leadership stakeholders
  • Proven experience designing and evolving distributed systems, including service decomposition, inter-service communication patterns, fault tolerance, and observability
  • Strong hands-on experience with Kubernetes and cloud-native platform architecture in production environments
  • Experience building data-intensive or AI-enabled production systems with real operational users and real performance constraints
  • Demonstrated technical leadership over large, cross-functional engineering initiatives with clear ownership and accountability for outcomes
  • Strong system design and architecture decision-making ability
  • Some experience or exposure to training, fine-tuning, or deploying machine learning models in production contexts
  • Ability to obtain Security+ certification within the first 90 days of employment
  • U.S. citizenship required
  • Ability to obtain and maintain a Top Secret/SCI clearance
  • No clearance required to start; must be eligible for and willing to obtain a Top Secret/SCI clearance
  • Highly preferred: AI/ML infrastructure or agentic systems; streaming and event-driven architectures; platform engineering and internal developer tooling; real-time inference or operational AI systems; secure, compliant systems; defense, national security, or classified program experience; active clearance

Benefits

Comp & perks
  • Fully covered healthcare, dental, and vision coverage
  • 401(k) and company match
  • Take as you need PTO + 11 paid holidays
  • Education & training benefits
  • Generous Referral Bonuses
  • Up to 25% travel