Dev Ops Engineer I

Socket.dev; United States; Hybrid; USD 63,000 - 99,000; Full time

Benefits offered by this job

Stock award

Parental leave

PTO (uncapped)

Job summary

Digi International is seeking an entry-level engineer to build internal tools, AI pipelines, and automation systems. You will own development and operations of internally-built applications, cloud infrastructure, and help evaluate AI models while shaping how Digi adopts AI in daily work.

You’ll write code, run experiments, and collaborate across product, engineering, and operations in a hybrid, US-based role with real impact from day one.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Comfortable writing Python and working with APIs and command-line tools.
• Curious about AI and has experimented with LLMs, local models, or AI-integrated tools.
• Able to read documentation, figure things out, and ship without waiting for perfect instructions.
• Strong communicator who can explain technical concepts to non-technical people.

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 organization.
• Host 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

Python

APIs

Command-line tools

Documentation

Communication

Education

Bachelor's degree in Computer Science or Engineering

Tools

GitLab

GitHub

Docker

Ollama

llama.cpp

Hugging Face

AWS Lambda

EC2

S3

Terraform

Ansible

AWS CloudFormation

CloudWatch

Grafana

VS Code

Claude API

OpenAI API

Job description

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

• 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.