Job Description - Dev Ops Engineer I

Why Digi


At Digi International, you won't spend your first few years maintaining someone else's legacy system. This role puts you at the center of how we build and use AI — across internal operations, product strategy, and team enablement. You'll write real code, evaluate cutting-edge models, and help shape how a global IoT company adopts AI. It's a rare entry-level opportunity with genuine strategic exposure from day one.


About the Role


Digi International is building an increasingly sophisticated set of internal tools, AI pipelines, and automation systems to accelerate how we operate and compete. This is a generalist role for someone who wants to write code, keep systems running, build glue, and grow into AI strategy work — all at the same time. You'll own the development and operations of internally-built applications, cloud infrastructure, help evaluate AI models and tools, and play a key role in how Digi's teams adopt AI in their day-to-day work. This is an entry-level position designed for someone technically sharp, curious, and eager to build real things that matter.


Responsibilities


Application Development & Operations



  • 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


AI Strategy & Model Evaluation



  • 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


Internal AI Enablement



  • 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


Key Tools


























































Category



Tools



Cloud Infrastructure



AWS (Lambda, EC2, S3, ECR, API Gateway)



AI APIs & Models



Anthropic Claude API, OpenAI API



Local Models



Ollama, llama.cpp, Hugging Face



Version Control & CI/CD



GitLab, GitLab CI



Containers



Docker, Kubernetes



Relational Databases



MariaDB, MySQL



NoSQL Databases



AWS Aurora, AWS KeySpaces (Apache Cassandra), Redis



Vector Search



PostgreSQL/pgvector, Qdrant



Languages & Frameworks



Python, Bash, FastAPI



Monitoring & Observability



AWS CloudWatch, Grafana



Dev Tooling



Claude Code, VS Code



Infrastructure as Code (IaC)



Terraform, Ansible, AWS CloudFormation



Qualifications



  • 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


Nice to Have



  • 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


 


*Please note that we are unable to provide visa sponsorship for this position. This includes, but is not limited to, work visas, employment-based visas, or residency sponsorship. Candidates must have valid work authorization in the United States at the time of application. Visa applications of any kind will not be considered.


Digi International offers a distinctive Total Rewards package including a short-term incentive program, new hire stock award, paid parental leave, open (uncapped) PTO, and hybrid work environment in addition to our competitive medical, health & wellbeing and compensation offerings.


The anticipated base pay range for this position is $63,000 - $99,000. Pay ranges are determined by role, job level and primary job location.  The range displayed reflects the reasonable range we anticipate paying for this position and reflects the cost of labor within several U.S. geographic markets. The specific salary offered within the range will depend on various factors including, but not limited to the candidate’s relevant and prior experience, education, skills, and primary work location.  It is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each position. Pay ranges are typically reviewed and updated annually.


At Digi, we embrace diversity and inclusion among our teammates. It is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. We are committed to providing an environment of respect where equal employment opportunities are available to all applicants and teammates.


 


 

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