Raft
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The Proposal Manager oversees the development and submission of proposals in response to RFPs, RFIs, and RFQs. This role involves ensuring compliance with federal regulations, coordinating with stakeholders, and maintaining documentation while striving for proposal excellence and process improvements.
The Principal Software Engineer will lead technical initiatives, perform code reviews, and mentor junior engineers while driving complex software projects. Responsibilities include leading design discussions, ensuring quality delivery, enhancing APIs, and utilizing various cloud technologies.
The DevSecOps Engineer will develop secure, end-to-end lifecycle solutions in cloud environments using Kubernetes or Docker. Responsibilities include building and maintaining CI/CD pipelines, applying GitOps for automation, implementing security best practices, and leveraging AWS and other cloud services. The role requires collaboration for containerized solutions and ongoing monitoring for system optimization.
The Senior Software Engineer will support the development of a platform for the DoD that enables operators to train custom computer vision models. Responsibilities include creating APIs, managing databases, and working within cloud-native environments, with a focus on data ingestion and model serving.
The Principal Software Engineer will build a platform for the DoD enabling users to train custom computer vision models. Responsibilities include developing web-socket and RESTful APIs, working with AWS and microservices, and managing large-scale databases. The role requires extensive experience with TypeScript and React, contributing to complex applications in a hybrid work environment.
The Senior MLOps Engineer will support the development of a real-time data platform for the Department of Defense, focusing on deploying ML infrastructure, building MLOps pipelines, and enhancing systems that process billions of events daily. The role requires collaboration with a team to ensure efficient data handling and operational decision-making.
As a Principal AI/ML Engineer at Raft, you will develop machine learning models and pipelines for a computer vision platform supporting the DoD. Responsibilities include collaborating with cross-functional teams, designing training and deploying ML models, and building data pipelines. You are expected to have extensive experience and strong problem-solving skills to innovate and optimize machine learning objectives.
The Principal MLOps Engineer will support the development of a real-time data platform for the DoD, involving deployment of ML infrastructure, building MLOps pipelines, and developing a full-lifecycle ML platform while processing vast amounts of data with low latency.
The Platform Engineer will develop production software utilizing modern programming languages, deploy containerized services on orchestration platforms, and manage APIs for scalable services. The role requires effective communication, collaboration with senior team members, and hands-on experience with cloud infrastructure and version control systems.
As a Senior AI/ML Engineer, you will develop and deploy Machine Learning models, collaborate with a cross-functional team, and work on building and maintaining machine learning pipelines with a focus on innovation and interdisciplinary teamwork.
The Program Administrator will manage program-wide documentation processes, support recruiting and stakeholder management, assist in budgeting and financial tasks, review resumes, and coordinate with contract stakeholders. The role requires organizational skills and the ability to manage multiple processes while supporting engineers and maintaining program reporting.
The Staff MLOps Engineer will develop and support a real-time data platform for the Department of Defense, deploying machine learning infrastructure and building MLOps pipelines, while managing production clusters and ensuring compliance.
The Staff DevSecOps Engineer will architect, develop, and implement end-to-end cluster and application lifecycles, focusing on Kubernetes and Docker solutions. Responsibilities include creating CI/CD pipelines, applying GitOps principles, and collaborating with clients on cloud or on-premises needs, while ensuring process security and efficiency.
The Staff Platform Engineer will build and operate hybrid-infrastructure platforms using Kubernetes and Docker, develop platform APIs, implement CI/CD pipelines, and mentor junior engineers. Responsibilities include managing and troubleshooting Kubernetes workloads at scale and ensuring platform services are effectively deployed and maintained.
The Integration Program Manager will oversee air operations planning, ensuring mission analysis addresses customer needs. Responsibilities include analyzing military operations, coordinating planning processes, supporting strategy approval, and maintaining operational documents. This role involves collaboration with various military components to assess threats and develop long-term operational plans.
Raft is seeking talented professionals interested in bleeding edge technology. Applicants are encouraged to express their motivation to join the team, and the company will reach out if any matching openings are available.
As a Senior Software Engineer (Back-End) at Raft, you will work on complex tasks, lead projects, and engage in design discussions and code reviews while mentoring junior engineers. Your role includes creating robust RESTful APIs, collaborating with diverse teams, and utilizing a broad tech stack for building scalable applications.
The Staff Software Engineer will implement mission-critical software on a cloud-native platform, focusing on real-time data aggregation and processing for the Department of Defense. Responsibilities include providing strategic advice, supporting DevSecOps practices, and developing distributed applications using key technologies like Kafka and Kubernetes.
The DevSecOps Engineer will architect and implement cluster and application lifecycles, develop CI/CD pipelines, and deploy Kubernetes or Docker solutions in both Cloud and on-premises environments. Responsibilities include managing data-intensive platforms, ensuring compliance of production clusters, and collaborating with clients to enhance operational awareness through effective data management.
The Senior Cloud Engineer will manage and secure cloud computing environments, utilizing Infrastructure as Code, while mentoring junior developers. The role involves scripting, transforming infrastructure to a cloud-native architecture, and ensuring security practices are followed. Communication with stakeholders is crucial to success.