Lead Engineer

Raft Company Website; Honolulu (HI); Remote; USD 180,000 - 230,000; Full time

Benefits offered by this job

Fully covered healthcare

Fully covered dental

Fully covered vision

401(k) with company match

PTO + 11 paid holidays

Job summary

Raft Company Website seeks a Lead AI/ML Engineer for the [R]AIMS platform. You will shape architecture, lead major epics, and drive engineering quality across distributed data systems and Kubernetes-native infrastructure.

You will mentor teams and collaborate with product and delivery groups to meet mission-driven requirements. You will work hands-on in the codebase, coordinating model integration, deployment, and performance tuning while engaging with Department of Defense stakeholders to

Qualifications

• 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; ability to design, build, and evolve complex, scalable systems.
• Exceptional technical communication; ability to influence across teams without direct authority.
• Experience designing distributed systems with service decomposition, observability, and fault tolerance.
• Strong hands-on experience with Kubernetes and cloud-native platform architecture in production.
• Experience building data-intensive or AI-enabled production systems with real users and performance constraints.
• Demonstrated technical leadership over large cross-functional engineering initiatives.
• Strong system design and architecture decision-making under incomplete information.
• Some exposure to training, fine-tuning, or deploying ML models in production contexts.
• Ability to obtain Security+ within first 90 days; US citizenship and TS/SCI eligibility.

Responsibilities

• Drive architectural decisions across the [R]AIMS platform, balancing performance, scalability, security, and maintainability.
• Lead major technical epics from conception through delivery with cross-functional teams.
• Simplify distributed architecture to scale while maintaining capability and reliability.
• Optimize platform performance across edge and cloud deployment targets.
• Establish reusable engineering patterns to improve developer productivity and code quality.
• Mentor engineers, conduct design reviews, and elevate technical execution across the platform.
• Partner with AI/ML engineers on model integration, inference optimization, and deployment.
• Engage with customers and DoD stakeholders, representing Raft’s technical capabilities.

Skills

Leadership

Distributed systems

Kubernetes

Cloud-native

AI/ML platforms

Technical communication

Tools

Kafka

RMF

Job description

This is a U.S. based position. All of the programs we support require U.S. citizenship to be eligible for employment. All work must be conducted within the continental U.S.

Who we are:

Raft (https://TeamRaft.com) is a customer-obsessed non-traditional defense tech company dedicated to empowering U.S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development. With headquarters in McLean, VA, our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans.

About the role:

As the Lead AI/ML Engineer for [R]AIMS, you will serve as a senior technical leader responsible for evolving the architecture, execution, and engineering rigor of Raft’s AI Mission System. You will be hands-on in the codebase, leading by doing, while also setting technical direction and raising the quality of engineering across the team.

You will partner closely with platform leadership, product, and delivery teams to drive architectural decisions, lead major technical epics from conception through delivery, and establish the engineering patterns that the platform will grow on. You will operate at the intersection of distributed systems, AI/ML platform engineering, Kubernetes-native infrastructure, and data-intensive application development, balancing rapid mission delivery with long-term platform integrity.

This role requires someone equally comfortable writing production systems with complex multi-vendor integrations, debugging difficult distributed systems issues, leading design reviews, and making pragmatic tradeoff decisions under ambiguity.

What you'll do:

• Drive architectural decisions across the [R]AIMS platform, evaluating tradeoffs across performance, scalability, security, and maintainability and building alignment across engineering and product stakeholders
• Lead major technical epics from conception through delivery, decomposing ambiguous problems into executable plans and keeping cross-functional teams moving with clarity and momentum
• Simplify and rationalize distributed system architecture as the platform scales, reducing incidental complexity and improving operational reliability without sacrificing capability
• Optimize platform performance across both edge and cloud deployment targets, identifying and resolving bottlenecks in data-intensive, latency-sensitive operational environments
• Establish strong engineering foundations and reusable technical patterns that improve developer productivity and code quality across the team
• Mentor engineers at multiple levels, conducting design reviews, providing substantive code feedback, and actively elevating technical execution across the platform
• Partner with AI/ML engineers on model integration, inference optimization, and the operational deployment of agentic workflows within [R]AIMS
• Engage directly with customers and program stakeholders at operationally demanding environments across the Department of Defense, representing Raft’s technical capabilities with credibility and clarity

What we are looking for:

• 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 with demonstrated ability to design, build, and evolve complex systems that perform reliably at scale
• Exceptional technical communication skills; able to lead through influence across engineering, product, and leadership stakeholders without requiring direct authority
• 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, with a track record of making the right call under incomplete information
• 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
• US citizenship required; ability to obtain and maintain a Top Secret/SCI clearance

Highly preferred:

• Experience building AI/ML infrastructure or agentic systems, including orchestration frameworks, tool-use patterns, and LLM integration in production
• Experience with streaming and event-driven architectures, particularly Kafka, Kafka Streams, or Apache Flink
• Experience with platform engineering and internal developer tooling, including golden-path frameworks, shared libraries, and developer experience improvements
• Experience with real-time inference or operational AI systems in latency-sensitive environments
• Experience building secure, compliant systems for regulated or mission-critical environments, including familiarity with IL4/IL5/IL6 requirements or RMF processes
• Prior work in defense, national security, or classified program environments
• Active clearance preferred

What Success Looks Like

• [R]AIMS has a coherent, well-documented architecture that engineers at all levels understand and can contribute to confidently
• Major platform initiatives ship on time with high engineering quality, low rework rates, and clear technical rationale behind key decisions
• The engineering team is measurably stronger because of your presence: better design reviews, sharper code, cleaner systems
• Customers trust Raft technically. When you’re in the room, they leave the conversation with confidence in what we’re building and how we’re building it
• Platform complexity is decreasing relative to capability, not increasing

Clearance Requirements:

• No clearance required to start
• Must be eligible for and willing to obtain a Top Secret/SCI clearance; active clearance preferred

Salary Range: $180,000.00 - $230,000.00

Work Type:

• Remote within the U.S.; preference for candidates located near a Raft hub (McLean, VA; Colorado Springs, CO; Tacoma, WA; Oahu, HI, Tampa, FL; Boston, MA)
• Up to 25% travel

What we will offer you:

• Highly competitive salary
• Fully covered healthcare, dental, and vision coverage
• 401(k) and company match
• Take as you need PTO + 11 paid holidays
• And More!

Our Vision Statement:

We bridge the gap between humans and data through radical transparency and our obsession withthemission.

Our Customer Obsession:

We will approach every deliverable like it's a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies.

How do we get there?

Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking,and collaboration is a norm.

We’re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in Raft Company Website’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.