Simplesense builds, deploys, and sustains the Installation Resilience Platform that enables mission operators to rapidly adapt and respond. The Platform protects critical infrastructure from cyber attack while unlocking previously siloed information to monitor, diagnose, and improve response times to incidents.
Requirements
- 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.
Responsibilities
- Support the development of ML/LLM-enabled capabilities, including retrieval workflows, inference services, and fine-tuning pipelines using frameworks such as SageMaker.
- Develop and deploy backend services and cloud functions, such as Lambda, ECS, or DynamoDB, to support mission workflows and data-driven capabilities.
- Contribute to build/test/deploy pipelines and maintain scripting for automated development environments and deployments
- Implement monitoring and alerting for AI/ML and data services to ensure availability and performance across environments
- Partner with infrastructure, UI, and mission-facing teams to shape solutions and ensure contextual relevance of features.
- Contribute to rapid prototyping and research efforts across government and dual-use applications, with opportunities to shape applied GenAI use cases.
- Write maintainable, well-documented code and contribute to peer reviews, technical write-ups, and internal learning.
Other
- Occasional travel for on-site collaboration or operational support may be required.
- Must be a U.S. Citizen and able to obtain a DoD NIPR account and Common Access Card (CAC).
- Bachelor's degree in Computer Science, Data Science, Software Engineering, or related field.
