6 infrastructure and cloud engineer jobs found in Washington

Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for Oracle. Clicking "Apply Now" or "Read more" on Lensa redirects you to the job board/employer site. Any information collected there is subject to their terms and privacy notice. Job Description Must be enrolled in a university prior to and post internship. Target Internship Duration: May-Aug 2026 or June-Sept 2026. Work Location: San Francisco Bay Area (Redwood Shores, CA) The Program Our future success depends on hiring world-class, early in career talent who are looking to power next-generation services and solutions. We are hiring students with a diverse set of skills and experiences to work in and across teams. Our program is intended to enhance...

Job Requirements Position Summary: At Fearless, this Artificial Intelligence & Machine Learning Engineer (Senior Consultant) collaborates with cross-functional teams to align the technical vision, implementation, and quality of software systems across development, reliability, testing, and operations. This role will possess the skills to bridge business objectives with technical execution across software development, infrastructure, security, and testing at an advanced application-level of proficiency. The Sr. Consultant role will work on projects to ensure scalable, secure, and reliable solutions, while mentoring engineers, fostering collaboration, and aligning stakeholders with product and project goals. The Impact You Will Create This project delivers high-performance AI and data solutions that enable federal civilian agencies to manage and analyze massive datasets in support of people-centered policy and decision-making. By implementing advanced AI agents and...

The goal of a Senior Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Our machine learning engineers take advantage of robust internal infrastructure and unique access to massive datasets to deliver improvements to our customers. Our Public Sector Machine Learning team is focused on deploying cutting-edge models to mission-critical government systems through products like Donovan and Thunderforge. Our work spans multiple modalities, with a strong focus on both large language models and computer vision. On the LLM side, we are developing agentic systems that help solve complex operational and planning challenges for government partners. This includes building agent frameworks that integrate with custom retrieval pipelines and production APIs, as well as evaluation tools to benchmark and refine agent...

Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for Confluent. Clicking "Apply Now" or "Read more" on Lensa redirects you to the job board/employer site. Any information collected there is subject to their terms and privacy notice. Location: Remote, United States Employment Type FullTime Location Type: Remote Department Engineering Compensation $182.1K – $245.8K Offers Equity At Confluent, we are committed to providing competitive pay that is in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. The actual pay may vary depending on your skills,...

The Public Sector ML team at Scale deploys advanced AI systems—including LLMs, agentic models, and multimodal pipelines—into mission-critical government environments. We build evaluation frameworks that ensure these models operate reliably, safely, and effectively under real-world constraints. As an ML Engineer, you will design, implement, and scale automated evaluation pipelines that help customers trust and operationalize advanced AI systems across defense, intelligence, and federal missions. You will: Develop and maintain automated evaluation pipelines for ML models across functional, performance, robustness, and safety metrics, including LLM-judge–based evaluations. Design test datasets and benchmarks to measure generalization, bias, explainability, and failure modes. Build evaluation frameworks for LLM agents, including infrastructure for scenario-based and environment-based testing. Conduct comparative analyses of model architectures, training procedures, and...

Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for Cisco. Clicking "Apply Now" or "Read more" on Lensa redirects you to the job board/employer site. Any information collected there is subject to their terms and privacy notice. The application window is expected to close on: 02/28/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . This role can be performed remotely from locations within the United States. Meet the Team Splunk, a Cisco company, is building a safer, more resilient digital world with an end‑to‑end, full‑stack platform designed for hybrid, multi‑cloud environments. The Splunk AI Platform and Services team provides...