We are seeking a Research & Development Software Engineer to support our client joining their remote, US-based team. Please see below to find the job description and desired qualifications;

In this role, you will help design and deliver data-driven capabilities within our Installation Resilience Platform, with a focus on applied AI and large-scale operational data. You'll build cloud-native components that support machine learning workflows, integrate with sensor and cybersecurity systems, and make complex infrastructure data accessible through natural language interfaces. This position combines production-grade software development with real-world mission relevance. Occasional travel for on-site collaboration or operational support may be required.We're looking for candidates who thrive in cloud-native, remote-first environments and who bring a mix of software engineering experience and interest in AI-driven capabilities. Our stack includes Amazon Web Services, containerized workloads, and data from operational environments demanding reliability, security, and clarity. You don't need to meet every listed qualification as we value curiosity, learning, and the ability to contribute meaningfully to a small, high-trust team working on real-world challenges.Qualifications

• 5+ years of experience in software or data engineering deploying to production cloud or on-premise environments.
• Hands-on experience with Python, or similar, for data processing, pipeline development, or machine learning workflows.
• Experience with retrieval augmented generation (RAG), embeddings, or GenAI pipelines.
• Proficiency in AWS services commonly used in data/AI systems such as Lambda, S3, RDS, SageMaker, Bedrock, DynamoDB, or Athena.
• Experience developing and operating systems in Linux environments.
• Comfort building and debugging containerized applications using Docker, ECS, Kubernetes, or similar.
• Experience working with GitHub based workflows, CI/CD automation, and branching strategies.
• Bachelor's degree in Computer Science, Data Science, Software Engineering, or related field.
• Must be a U.S. Citizen and able to obtain a DoD NIPR account and Common Access Card (CAC).

Bonus Qualifications

• Experience working with real-world telemetry, log, or sensor data
• Familiarity with secure architecture, FedRAMP environments, and/or RMF aligned systems.
• Security certifications such as Security+ or AWS Certified Solutions Architect