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Remote Raft Jobs (NOW HIRING)

Infrastructure Engineer

$110K - $144K/yr

This is a remote position available anywhere in the world! Linkedin makes us show a country, but we ... Be a student of both distributed systems and simplicity - you know how to reach for the RAFT but ...

Remote Raft information

What are Remote Raft jobs?

Remote Raft jobs refer to positions that involve working with the Raft consensus algorithm, often in distributed systems or blockchain environments, while allowing employees to work remotely. Raft is a protocol designed to help multiple computers agree on shared data even when some of them might fail. People in these roles typically work as software engineers, site reliability engineers, or DevOps professionals, focusing on building, maintaining, or optimizing distributed systems. These jobs require strong knowledge of consensus algorithms, distributed computing, and communication protocols, and allow team members to collaborate from anywhere in the world.

What is the difference between Remote Raft vs Remote Scrum Master?

AspectRemote RaftRemote Scrum Master
CertificationsAgile certifications (e.g., Scrum, SAFe)Scrum Master certifications (CSM, PSM)
Work EnvironmentRemote, collaborative teams in tech/agile projectsRemote, facilitating Agile/Scrum processes
Industry UsageTech, software development, project managementTech, software, product development
Job FocusImplementing Agile practices, team coordinationFacilitating Scrum ceremonies, removing impediments

Remote Raft and Remote Scrum Master roles both focus on Agile methodologies in remote settings. While Remote Raft emphasizes implementing Agile practices and team collaboration, the Remote Scrum Master specifically facilitates Scrum ceremonies and removes obstacles for teams. Both roles require similar certifications and are common in tech industries, but their primary responsibilities differ slightly.

What are the typical challenges faced by remote Raft engineers, and how can they effectively collaborate with distributed teams?

Remote Raft engineers often face challenges such as coordinating across time zones, ensuring clear communication, and maintaining consistent code quality within distributed systems. To address these, engineers typically rely on asynchronous communication tools (like Slack or email), regular stand-up meetings, and detailed documentation. Pair programming and code review sessions are also common practices to foster collaboration and knowledge sharing. Establishing clear protocols for handling Raft consensus issues and leveraging project management tools can further streamline teamwork and project progress.

What are the key skills and qualifications needed to thrive as a Remote Raft Guide, and why are they important?

To thrive as a Remote Raft Guide, you need expertise in river navigation, safety protocols, and first aid, often demonstrated through relevant certifications like Swiftwater Rescue and Wilderness First Responder. Familiarity with GPS devices, communication radios, and emergency response systems is typically required. Strong leadership, problem-solving, and interpersonal communication skills help ensure group safety and a positive client experience. These competencies are essential for managing risks and delivering safe, enjoyable adventures in remote environments.
More about Remote Raft jobs
What cities are hiring for Remote Raft jobs? Cities with the most Remote Raft job openings:
What are the most commonly searched types of Raft jobs? The most popular types of Raft jobs are:
What states have the most Remote Raft jobs? States with the most job openings for Remote Raft jobs include:
What job categories do people searching Remote Raft jobs look for? The top searched job categories for Remote Raft jobs are:
Infographic showing various Remote Raft job openings in the United States as of May 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 50% Physical, 5% Hybrid, and 45% Remote job distribution.
Principal MLOps Engineer with Security Clearance

Principal MLOps Engineer with Security Clearance

Raft

Mclean, VA • Remote

Other

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago


Job description

Principal MLOps Engineer Remote, US; DMV; McLean, VA; Boston, MA; San Antonio, TX; Colorado Springs, CO; Tampa, FL; Honolulu, HI 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. We’re looking for an experienced Principal ML Ops Engineer to support our customers and join our passionate team of high-impact problem solvers. About the role: Raft is building mission-critical AI and data platforms for the Department of Defense (DoD). Our systems ingest and process massive volumes of real-time data from hundreds of sensors and operational sources, transform that data into usable intelligence, and deliver it to operators through mission applications and common operational pictures that support time-sensitive decision-making. Our platform operates at scale, processing billions of events per day with low-latency data pipelines and cloud-native infrastructure. As Raft expands its AI capabilities, we are investing in a more mature end-to-end machine learning platform to support model development, evaluation, deployment, monitoring, and lifecycle management across both cloud and constrained operational environments. In this role, you will help design, deploy, and mature Raft’s ML platform and MLOps infrastructure. You will work across Kubernetes-based deployment environments, GPU-enabled infrastructure, model serving systems, CI/CD pipelines, and secure production operations to enable rapid and reliable delivery of machine learning capabilities. This role is ideal for someone who understands both the infrastructure needed to run ML systems in production and the practical needs of ML engineers building and deploying models. What you’ll do: Design, build, and maintain secure, scalable MLOps infrastructure and deployment pipelines for production ML systems Help mature Raft’s internal ML platform and model lifecycle capabilities, including model packaging, registry/catalog workflows, deployment, monitoring, and operational support Deploy and manage machine learning workloads on Kubernetes, including GPU-enabled clusters Support model serving and inference infrastructure for a range of ML use cases, including traditional ML, computer vision, speech/audio, and LLM-based systems Build and maintain CI/CD workflows for ML services, model artifacts, and platform components Partner closely with ML engineers, software engineers, and product teams to move models from experimentation to reliable operational deployment Improve observability, reliability, security, and maintainability across ML infrastructure and services Help evaluate and standardize runtime patterns, serving frameworks, and deployment architectures for production ML workloads Contribute to infrastructure decisions across edge, on-prem, and cloud-hosted deployment environments Support compliance-driven deployment practices and secure software supply chain requirements in defense environments Get hands-on with customers at the most forward-leaning places in the Department of War What we are looking for: 7+ years of relevant hands-on experience in software engineering, platform engineering, DevOps, MLOps, or related technical roles 5+ years of experience with Docker and Kubernetes in production environments 5+ years of experience supporting enterprise cloud infrastructure or applications in AWS, Azure, or similar environments Strong experience provisioning, operating, and troubleshooting Kubernetes clusters in production Experience building and maintaining machine learning platforms, infrastructure, or pipelines used by engineering or data science teams Practical experience deploying machine learning workloads on Kubernetes Experience managing clusters or workloads that use GPUs Strong understanding of Helm and Kubernetes deployment patterns Strong scripting or programming skills, preferably in Python Experience with modern software engineering practices including Git, CI/CD, DevOps, and Agile/Scrum workflows Strong troubleshooting, systems thinking, and communication skills Ability to work independently and collaboratively in a fast-moving environment Ability to obtain and maintain a Top Secret clearance Ability to obtain Security+ certification within the first 90 days of employment Highly preferred: Experience with ML model serving and inference platforms such as Triton Inference Server, KServe, Ray Serve, vLLM, or similar technologies Experience with secure and compliant deployment practices in regulated or government environments Experience with Kubernetes-based ML platforms such as Kubeflow Familiarity with service mesh technologies such as Istio Experience provisioning and debugging complex CI/CD systems Experience with infrastructure as code tools such as Terraform Familiarity with software supply chain security, container hardening, vulnerability management, and runtime scanning Experience supporting ML systems across multiple deployment environments, including cloud, on-prem, and edge Background working with machine learning engineers on model training, evaluation, packaging, and release workflows Familiarity with storage and artifact systems used in ML platforms, such as S3-compatible object stores, registries, and metadata/catalog system What success looks like: You help Raft stand up a more mature and repeatable ML platform for deploying and managing models in production ML engineers can move faster because deployment, serving, and platform workflows are clearer, more reliable, and easier to use Model deployments become more secure, observable, and supportable across real-world mission environments The organization gains stronger infrastructure for model lifecycle management, including deployment standards, runtime patterns, and platform ownership Clearance Requirements: Ability to obtain and maintain a Top Secret clearance  Work Type:  Remote in DMV; McLean, VA; Boston, MA; San Antonio, TX; Colorado Springs, CO; Tampa, FL; Honolulu, HI Locations ONLY May require up to 40% travel Salary Range: $150,000.00 - $200,000.00 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 Education & training benefits Annual budget for your tech/gadgets needs Monthly box of yummy snacks to eat while doing meaningful work Remote, hybrid, and flexible work options Team off-site in fun places! Generous Referral Bonuses * And More! Our Vision Statement:  We bridge the gap between humans and data through radical transparency and our obsession with the mission.  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.  Raft’s core philosophy is Ubuntu: I Am, Because We are. We support our “nadi” by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration.  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. Create a Job Alert Interested in building your career at Raft Company Website? Get future opportunities sent straight to your email.
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