Dev Ops Engineer I

Posted Yesterday
Hiring Remotely in United States
Remote or Hybrid
63K-99K Annually
Entry level
Cloud • Hardware • Internet of Things
The Role
Develop and operate internal applications, automation pipelines, cloud infrastructure, deployments, and CI/CD workflows. Write integrations and scripts, monitor systems, troubleshoot issues, and improve reliability. Evaluate AI models for performance, cost, latency, and business fit while supporting AI adoption through workshops, training materials, demos, and internal standards. The role requires Python, API, command-line, and communication skills, with opportunities to use AWS, containers, databases, infrastructure-as-code, and observability tools.
Summary Generated by Built In

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.



Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

Skills Required

  • Bachelor's degree in Computer Science, Engineering, or a related field; bootcamp graduates and self-taught candidates with demonstrable skills are also welcome
  • Comfortable writing Python and working with APIs and command-line tools
  • Curiosity about AI, including experimentation with LLMs, local models, or AI-integrated tools
  • Ability to read documentation, figure things out, and ship without perfect instructions
  • Strong communication skills and ability to explain technical concepts to non-technical people
  • Exposure to cloud platforms such as AWS Lambda, EC2, or S3
  • Experience with GitLab, GitHub, or any CI/CD pipeline
  • Familiarity with containerization tools such as Docker
  • Experience running local models using tools such as Ollama or llama.cpp
  • Experience with Anthropic or OpenAI APIs
  • Familiarity with relational databases such as MariaDB or MySQL
  • Exposure to infrastructure-as-code tools such as Terraform or AWS CloudFormation
  • Experience with monitoring or observability tools such as CloudWatch or Grafana
  • Interest in IoT, networking, or embedded systems
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The Company
HQ: Hopkins, MN
920 Employees
Year Founded: 1985

What We Do

Digi International (Digi) is a leading global provider of mission-critical and business-critical machine-to-machine (M2M) and Internet of Things (IoT) connectivity products and services. We help our customers create next generation connected products and deploy and manage critical communications infrastructures in demanding environments. Our embedded modules and off-the-shelf routers, gateways and network products are designed for relentless reliability and deliver unquestioned performance and security. Our cloud-based software and professional services help customers put their connected products and assets to work across a broad range of mission-critical industry applications. Founded in 1985, we’ve helped our customers connect over 100 million things, and growing.

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