Staff DevOps Engineer



Krisp AI Meeting Note Taker

Voice Notes and Memo Recorder

)

* AI Meeting Assistant )


 Back


AI Meeting Assistant

with #1 Noise Cancellation

Explore AI Meeting Assistant 


AI Notetaker

![icon for AI Meeting Assistant\
\
**AI Note Taker**](https://krisp.ai/ai-note-taker/)

![icon for AI Meeting Assistant\
\
**Meeting Transcription**](https://krisp.ai/meeting-transcription/)

![icon for AI Meeting Assistant\
\
**Meeting Recording**](https://krisp.ai/meeting-recording/)

![icon for AI Meeting Assistant\
\
**Meeting Summary**](https://krisp.ai/ai-meeting-summary/)

Real Time Voice AI

![icon for AI Meeting Assistant\
\
**Noise Cancellation**](https://krisp.ai/noise-cancellation/)

![icon for AI Meeting Assistant\
\
**Accent Conversion - Speaker side**](https://krisp.ai/ai-accent-conversion/)

![icon for AI Meeting Assistant\
\
**Accent Conversion - Listener side**](https://krisp.ai/ai-accent-conversion/listener/)

* Call Center AI )


 Back


Call Center AI

AI that boosts call center productivity

Explore platform 


Speech Assist

![icon for Call Center AI\
\
**Noise Cancellation**\
\
Remove background noises, voices & echoes.](https://krisp.ai/contact-center/noise-cancellation/)

![icon for Call Center AI\
\
**Accent Conversion**\
\
Real-time accent conversion for call center agents.](https://krisp.ai/contact-center/accent-conversion/)

![icon for Call Center AI\
\
**Voice Translation**\
\
Real-time AI voice translation for call center agents.](https://krisp.ai/ai-voice-translation/)

Agent & Supervisor Assist

![icon for Call Center AI\
\
**Agent Assist**\
\
Real-time AI assistant for call center agents.](https://krisp.ai/contact-center/ai-agent-assist/)

![icon for Call Center AI\
\
**Speech Analytics**\
\
Call scoring, Compliance monitoring and more.](https://krisp.ai/contact-center/speech-analytics/)

![icon for Call Center AI\
\
**Voice security**\
\
Real-time fraud detection and more](https://krisp.ai/contact-center/voice-security/)

* Developers )


 Back


Developers

with #1 AI Voice Models

Explore developers 


For Voice AI Agents

![icon for Developers\
\
**Voice Isolation** New\
\
Isolate the primary speaker’s voice](https://krisp.ai/developers/voice-isolation/)

![icon for Developers\
\
**Turn-Taking**\
\
Improving turn-taking for AI](https://krisp.ai/developers/#turn-taking)

![icon for Developers\
\
**Voice Isolation Benchmark**\
\
STT accuracy across 11 engines](https://krisp.ai/benchmarks/voice-isolation-benchmark/)

For Human-to-human Calls

![icon for Developers\
\
**Accent Conversion**\
\
Convert accents in calls](https://krisp.ai/developers/#accent-conversion)

![icon for Developers\
\
**Noise Cancellation**\
\
Noise removal in calls](https://krisp.ai/developers/#noise-cancellation)

![icon for Developers\
\
**Voice Translation API** New\
\
Real-time translation, self-serve](https://krisp.ai/developers/voice-translation-api/)

![icon for Developers\
\
**Compare Translation API**\
\
Translation providers side by side](https://krisp.ai/vt-comparison/)

* Customers

* Pricing

Book a demo


Careers at Krisp

Staff DevOps Engineer
=====================

* Armenia
* Hybrid

As a Staff DevOps Engineer, you will own the reliability and scalability of the infrastructure behind our production products, including speech APIs, real-time streaming services, and voice AI platforms. You will be deeply involved in high-impact projects across the company.

This means hands-on work on highly available production systems on AWS, Azure, Google Cloud and on-prem, and leading architecture decisions for multi-region, multi-cloud and private cloud deployments. You will work closely with engineering, SDK and product teams.

What you’ll do
--------------

* Work on the reliability of core production services end-to-end, with the goal of delivering and maintaining a 99.9% SLA
* Design and lead infrastructure architectures for multi-region, multi-cloud and private cloud / on-premise deployments for enterprise customers
* Design and build failover mechanisms, including auto-failover between regions and cloud providers
* Build monitoring, alerting and observability tooling that helps us detect issues fast, support incident management, and keep historical monitoring data
* Improve stability and latency of real-time streaming services (WebSocket-based), and optimize network cost and latency across regions
* Own deployment of new ML models and new product features to production together with engineering teams
* Participate in and lead production incident response, root cause analysis, and post-incident improvements
* Design, implement and maintain CI/CD pipelines (Jenkins, GitHub Actions)
* Manage patching and security across systems, and integrate security tools into our infrastructure
* Drive DevOps best practices, standards and documentation across the team.

What we are looking for
-----------------------

**Must-have**

* 5+ years of hands-on DevOps experience, including ownership of highly available production systems
* Proven experience designing and operating systems with strict SLA requirements (99.9% or higher)
* Deep production experience with Kubernetes (EKS preferred) and containers, including migrations from other orchestration platforms
* Strong experience with at least one major cloud provider (AWS preferred); experience with multi-region and multi-cloud architectures
* Hands-on experience with Infrastructure-as-Code tools (Terraform and/or Ansible)
* Experience designing CI/CD pipelines with Jenkins and GitHub Actions
* Strong experience with monitoring and observability stacks (Prometheus, Grafana, or similar) and incident management processes
* Solid fundamentals in networking (TCP/IP, DNS, load balancing, VPNs, firewalls, CDN)
* Strong Linux system administration skills
* Proficiency with scripting languages (bash, Python, or similar) for automation
* Strong proficiency in using Claude Code and AI-assisted coding workflows.

**Nice-to-have**

* Experience with private cloud or on-premise deployments for enterprise customers
* Experience with real-time / low-latency streaming systems (WebSocket, WebRTC, gRPC)
* Experience deploying and serving ML models in production (GPU workloads, inference platforms)
* Experience with network cost optimization in cloud environments.

How to apply
------------

All interested candidates are encouraged to apply through this **form
**.
We highly appreciate all applications, however, only shortlisted candidates will be contacted for the next stages.

Krisp is an Equal Opportunity Employer
--------------------------------------

All applicants are considered regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. We do not tolerate discrimination or harassment of any kind. All employees and contractors of Krisp treat each other with respect and empathy.

Apply now

Come build the future of
Voice AI with us
-------------------------------------------


View open jobs

Read the blog