> Markdown version of [/jobs/ext/3754818-software-engineer-1-python-kubernetes-aws](https://www.wearedevelopers.com/jobs/ext/3754818-software-engineer-1-python-kubernetes-aws). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Software Engineer 1 - (Python, Kubernetes, AWS)

- **Company:** Akina, Inc.
- **Location:** Cape Saint Claire, MD, United States
- **Experience:** Experienced
- **Salary:** $169,000.0 - $207,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Continuous Integration, Python (Programming Language), Octopus Deploy, Reliability Engineering, Cloud Services, Prometheus, AI Infrastructure, Large Language Models, Grafana, Containerization, Kubernetes, Information Technology, LiteLLM, Docker, Programming Languages
- **Published:** October 15, 2026
- **Apply:** https://www.dice.com/job-detail/44cff5ee-b541-44dc-ac6d-660e532b7c36

## About the Role

* Experience with Python and/or other modern programming languages.
 * Familiarity with Argo CD and/or other CI/CD frameworks.
 * Experience with Kubernetes/Helm.
 * Familiarity with AWS or other cloud service providers.
 * Ability to learn new technologies quickly.
 * Strong communication skills and willingness to ask questions.

Nice to Haves

 * Experience with vLLM, LiteLLM, or similar inference-serving frameworks.
 * Experience with other LLM hosting frameworks and practices.
 * Experience supporting production software using Site Reliability Engineering (SRE) best practices.
 * Experience with Elastic, Grafana/Prometheus, or other observability frameworks and practices.
 * Experience with Docker and containerization.
 * Experience in traffic shaping and quality-of-service engineering.
 * Knowledge of and interest in hosting AI capabilities., A minimum of three (3) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity is required. Bachelor's degree in Computer Science or related discipline from an accredited college or university is required. Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor's degree.

## Description

Join us in building the next generation of AI infrastructure that will power innovation across the customer organization. We're seeking a software engineer to support our AI infrastructure team. In this role, you'll help build and maintain the foundation for customer AI capabilities while supporting a broader ecosystem of AI-enabled applications. Your focus will be ensuring access to the highest available quality LLMs to users throughout the inference software stack. 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.

 * Procure, configure, and test new inference models, preparing them for release to our user base.
 * Develop in-house services and techniques to guarantee continual high-quality inference service for our customer.
 * Work with model vendor teams and representatives to create reliable pipelines for closed-source model usage.
 * Collaborate with teammates on surge efforts to support short-term, high-priority inference needs from our customer.
 * Engage with other teams in our organization to establish solid infrastructure for our services and integrate LLM-powered tools for user needs.