Uniphore is one of the largest B2B AI-native companies—decades-proven, built-for-scale and designed for the enterprise. The company drives business outcomes, across multiple industry verticals, and enables the largest global deployments.
Uniphore infuses AI into every part of the enterprise that impacts the customer. We deliver the only multimodal architecture centered on customers that combines Generative AI, Knowledge AI, Emotion AI, workflow automation and a co-pilot to guide you. We understand better than anyone how to capture voice, video and text and how to analyze all types of data.
As AI becomes more powerful, every part of the enterprise that impacts the customer will be disrupted. We believe the future will run on the connective tissue between people, machines and data: all in the service of creating the most human processes and experiences for customers and employees.
Job Description:
About the Role
We're looking for a motivated DevOps Engineering Intern to join our infrastructure team for [Summer/Fall/Spring] 2026. You'll get hands-on experience with real systems — not just shadow work — contributing to automation, deployment pipelines, and cloud infrastructure alongside a team of experienced engineers. This internship is designed to give you a strong foundation in modern DevOps practices.
What You'll Do
Support CI/CD pipeline monitoring and help identify areas for improvement
Assist with provisioning and configuring cloud resources under engineer guidance
Write scripts to automate repetitive operational tasks
Help maintain and improve internal documentation and runbooks
Participate in team standups, sprint planning, and retrospectives
Explore monitoring dashboards and help investigate system alerts
Work on a scoped intern project with a defined deliverable by end of term
What We're Looking For
Currently pursuing a degree in Computer Science, Engineering, Information Systems, or a related field
Basic familiarity with Linux/Unix command line
Some exposure to at least one scripting language (Python or Bash preferred)
Awareness of cloud concepts (AWS, GCP, or Azure) through coursework or self-study
Curious, self-motivated, and comfortable asking questions
Able to work collaboratively in a fast-paced team environment
Nice to Have
Personal or class projects involving Git, Docker, or any CI/CD tool
Exposure to infrastructure-as-code concepts (Terraform, Ansible)
Any cloud certifications or online coursework (AWS, Google Cloud, etc.)
Familiarity with monitoring tools like Grafana or Datadog
What You'll Walk Away With
Real-world experience with production infrastructure and DevOps tooling
A completed project you can speak to in future interviews
Mentorship from senior engineers and exposure to agile team workflows
[Paid / Stipend / Course credit — specify per your program]
Potential path to a full-time offer for strong performers
Hiring Range:
The specific rate will depend on the successful candidate's qualifications and prior experience.
In addition to competitive base pay, this position also includes the option to enroll in our medical High Deductible Health Plan (HDHP), ModernHealth, our mental health support provider, and will be eligible for our sick time-off plan.
Location preference:
Uniphore is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.
For more information on how Uniphore uses AI to unify—and humanize—every enterprise experience, please visit www.uniphore.com.
Uniphore Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Uniphore and has not been reviewed or approved by Uniphore.
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Healthcare Strength — Health coverage includes medical, dental, vision, mental‑health resources, and wellness programs, with multiple plan options (including HSA/FSA) indicating robust depth. Plan quality and affordability are highlighted relative to peers.
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Leave & Time Off Breadth — Time off includes generous PTO, paid holidays, and a paid birthday day off. Enhanced parental, caregiver, and bereavement leave extend coverage beyond standard policies.
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Retirement Support — Retirement offerings include a U.S. 401(k) with company match and pension/retirement plans with employer contributions in many countries. These programs support longer‑term financial security alongside core pay.
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What We Do
The Business AI Cloud is the only sovereign, composable and secure AI platform that enables businesses to rapidly adopt, significantly transform and immediately unlock the value of their data. Trusted by more than 2,500 of the world’s largest enterprises and recognized by Gartner, Forrester, IDC and the Deloitte Fast 500, Uniphore is where enterprise AI moves from ambitions to production. A Complete, Composable Platform Uniphore is designed to be: Sovereign — run on any public cloud, private cloud or on-premises with full control over your data and AI models. Composable — choose your layer, model, or component—vector DBs, knowledge graphs, data compute, and beyond. Secure — embedded guardrails, observability, and AI security ensure trusted, compliant, and enterprise-grade protection. Trusted at Scale Over 2,000 global businesses — including many of the Fortune 500 — rely on Uniphore every day to drive growth, improve efficiency, and deliver personalized customer experiences. Customers include leaders across industries, like Skechers, LastPass, Atlassian, HP, Allstate, Sony, and more. Industry Recognition Named to Inc.'s Best in Business List Listed on the Deloitte Technology Fast 500 Recognized in reports by Gartner, Forrester, and IDC From Pilot to Production Through strategic collaborations with industry leaders like KPMG, Cognizant, Rackspace, Databricks and Snowflake, Uniphore helps organizations move beyond experimental AI pilots to production-grade deployment — operationalizing AI agents across internal and client-facing workflows at scale.
