Software Engineer, Research & Development, Mid-Level (Remote)

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Job Summary:

Simplesense is a non-traditional defense contractor focused on enhancing operational resilience through innovative technology solutions. They are seeking a Research & Development Software Engineer to design and deliver data-driven capabilities within their Installation Resilience Platform, emphasizing applied AI and large-scale operational data.

Responsibilities:

• AI Workflow Integration: Support the development of ML/LLM-enabled capabilities, including retrieval workflows, inference services, and fine-tuning pipelines using frameworks such as SageMaker.

• Cloud Native Application Engineering: Develop and deploy backend services and cloud functions, such as Lambda, ECS, or DynamoDB, to support mission workflows and data-driven capabilities.

• Automation and DevOps: Contribute to build/test/deploy pipelines and maintain scripting for automated development environments and deployments

• Observability and Reliability: Implement monitoring and alerting for AI/ML and data services to ensure availability and performance across environments

• Collaboration: Partner with infrastructure, UI, and mission-facing teams to shape solutions and ensure contextual relevance of features.

• Research and Prototyping: Contribute to rapid prototyping and research efforts across government and dual-use applications, with opportunities to shape applied GenAI use cases.

• Code Quality and Documentation: Write maintainable, well-documented code and contribute to peer reviews, technical write-ups, and internal learning.

Qualifications:

Required:

• 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).

Preferred:

• 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

Company:

Rapidly authorize and deploy proven cybersecurity solutions for Industrial Control Systems (ICS) / Operational Technology (OT) Founded in 2017, the company is headquartered in Brooklyn, New York, USA, with a team of 11-50 employees. The company is currently Early Stage.