- Experience with Python, JavaScript/TypeScript, or similar modern development languages.
- Experience with AWS services and cloud-native application architectures.
- Experience with Terraform or other Infrastructure-as-Code technologies.
- Experience integrating applications with enterprise platforms through APIs.
- Experience with identity platforms such as Microsoft Entra ID or Okta.
- Experience supporting applications developed using AI coding assistants, low-code platforms, or rapid application development approaches.
- Experience with relational databases, schema changes / migrations and data integrity.
- Familiarity with Kubernetes/EKS is a plus.
- Experience working in regulated or security-sensitive environments is a plus.
What Success Looks Like Within the first several months, this engineer will be able to independently understand and support the existing application(s), eliminate critical knowledge dependencies on its original developer, establish a reliable development and deployment process, address significant technical debt or security concerns, and begin delivering enhancements requested by the business.
Longer term, this role will help establish a repeatable model for how internally developed and AI-assisted applications move from experimentation into secure, maintainable, production-supported services.
The salary range listed for this role is intended as a general guideline. Final compensation will be determined based on a variety of factors, including role scope and responsibilities, relevant experience, education and training, key skills, market data, and business needs.
At Hermeus, compensation is only one part of our total rewards package. We offer competitive pay, equity, and a range of benefits designed to support our team.