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# Software Engineer - Platform

- **Company:** Bitwise
- **Location:** Laurel, MD, United States
- **Experience:** Experienced
- **Salary:** $197,500.0 - $232,500.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Computing, Cloud Engineering, Continuous Integration, Elasticsearch, Identity and Access Management, Python (Programming Language), Octopus Deploy, Cloud Services, Prometheus, Software Engineering, SSL Certificate Management, Large Language Models, Grafana, Kubernetes, Kibana, Terraform, Docker, Programming Languages
- **Published:** October 30, 2026
- **Apply:** https://www.careerbuilder.com/job-details/software-engineer-platform-laurel-md--7b41dfe7-bfc6-40be-9090-839033a0182c

## About the Role

Software Engineering, Intelligence Community, Small Company, Thought Leadership, Customer Relations, Artificial Intelligence (AI), Amazon Web Services (AWS), Digital Certificates, Identify Issues, Best Practices, * 3+ years of relevant experience with a B.S. in a technical discipline, or 7+ years of relevant experience without a degree

 * Proficiency with Python or another modern programming language
 * Familiarity with AWS or other cloud service providers
 * Understanding of containerization concepts and tooling such as Docker
 * Ability to learn new technologies quickly
 * Strong communication skills and a willingness to ask questions
 * Active TS//SCI clearance with polygraph

Preferred Skills

 * Experience with AWS services such as EKS, Terraform, and IAM
 * Experience with Kubernetes and Helm/Kustomize
 * Experience with Argo CD and/or other CI/CD frameworks
 * Experience with the Elastic Stack (Kibana), Grafana/Prometheus, or other observability tools and practices
 * Experience with certificate management
 * Experience supporting cloud-native architecture or maintaining production software and infrastructure
 * Familiarity with LLMs and AI hosting concepts

## Description

You'll join our Platform team, which owns the AWS infrastructure, Kubernetes clusters, and security posture that power AI capabilities across the organization. In this role, you'll help build and maintain the foundation that every AI service depends on-reliable, secure infrastructure that scales with mission needs.

Your day-to-day work will include deploying and maintaining cloud infrastructure supporting the organization's AI capabilities, building and maintaining CI/CD pipelines and infrastructure-as-code for repeatable deployments, and configuring observability tooling to monitor the health and performance of production services. You'll support certificate management and follow established security best practices for AI systems and data. You'll collaborate with other teams to provision and configure the infrastructure their services depend on, and you'll diagnose and help resolve production infrastructure issues when they arise.

Requirements shift quickly as mission needs evolve and new technologies emerge, so you'll keep sharpening your skills and learning to turn loosely defined problems into working solutions. You'll be expected to communicate clearly, ask questions when you need to, and bring your best thinking to the table every day.