Note: The job is a remote job and is open to candidates in USA. Digi International is a global IoT company building internal tools, AI pipelines, and automation systems. The Dev Ops Engineer I will develop and operate internal applications, manage cloud infrastructure and CI/CD workflows, evaluate AI models, and help employees adopt AI through training and enablement programs.
Responsibilities
- Build, maintain, and improve internally developed applications and automation pipelines
- Manage deployments, environment configuration, and CI/CD workflows for selfware projects
- Write glue code, integrations, and scripts to connect tools, APIs, and data sources
- Monitor system health, triage issues, and iterate toward more reliable, maintainable systems
- Research and test AI models — cloud-hosted and local — for product and internal use cases
- Run structured evaluations comparing models on performance, cost, latency, and fit
- Support product and engineering teams in identifying where AI creates real leverage
- Track developments in the AI landscape and surface relevant findings to the team
- Partner with the Digi AI team to develop and deliver AI training programs across the broader organization
- Host regular workshops and lunch-and-learns to help Digi employees build practical AI skills
- Build training materials, guides, and playbooks for AI tools and workflows
- Support teammates in getting productive with AI — answering questions, running demos, troubleshooting
- Contribute to internal standards for responsible and effective AI use
Skills
- Bachelor's degree in Computer Science, Engineering, or a related field — bootcamp graduates and self-taught candidates with demonstrable skills are equally welcome
- Comfortable writing Python and working with APIs and command-line tools
- Curious about AI — you've experimented with LLMs, local models, or AI-integrated tools on your own
- Able to read documentation, figure things out, and ship without waiting for perfect instructions
- Strong communicator — you can explain technical things to non-technical people
- Candidates must have valid work authorization in the United States at the time of application
- Exposure to cloud platforms such as AWS Lambda, EC2, or S3
- Experience with GitLab, GitHub, or any CI/CD pipeline
- Familiarity with containerization tools like Docker
- Any experience running local models using tools like Ollama or llama.cpp
- Experience with the Anthropic or OpenAI APIs
- Familiarity with relational databases such as MariaDB or MySQL
- Exposure to infrastructure as code tools like Terraform or AWS CloudFormation
- Experience with monitoring or observability tools such as CloudWatch or Grafana
- Interest in IoT, networking, or embedded systems
Benefits
- Short-term incentive program
- New hire stock award
- Paid parental leave
- Open (uncapped) PTO
- Hybrid work environment
- Medical, health and wellbeing benefits
Company Overview