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We're looking for a talented DevOps engineer to join our team.
As a DevOps Engineer, you will architect and operate scalable, resilient cloud environments, using advanced automation and AI-based tools to improve system health, reduce manual intervention, and optimize infrastructure costs.
Responsibilities
Own the full lifecycle of the Coin Master platform. Ensure high availability, performance, and cost-efficiency across our multi-region AWS environment
Design and maintain robust, high-performance infrastructure using IaC. You will focus on building self-healing environments where AI agents continuously monitor and remediate issues in real-time
Embed security into the infrastructure layer. Leverage AI-assisted tooling to proactively identify and patch vulnerabilities across our Kubernetes clusters and AWS stack
Build tools and services that empower our engineering team to ship code faster. You are the architect of the platform, ensuring it is intuitive, scalable, and fully automated.

Were looking for an DevOps Engineer to join the R&D team and spread our power.
In this role, you will design and implement scalable systems that will keep us running smoothly and support our significant business growth.
You will join an innovative, high-performance team and work with cutting-edge technologies in a dynamic and agile environment.
WHAT YOULL DO
Take an active part of all DevOps areas: our infrastructure and cloud environment, tools, services and up-time.
Be part of our products architectural and infrastructure design, examine and implement new cloud technologies, and open-source tools to improve the delivery and availability of the product.
Plan and push forward the growth and scale of data capacity for various products.
Be responsible for the smooth production-grade execution of provided solutions.

Required DevOps Engineer
As a DevOps Engineer, you will:
Own and manage the companys internal AI infrastructure, including GPU-based environments
Manage and maintain Kubernetes-based infrastructure, owning the platform end to end
Design, develop and maintain in-house infrastructure, automation tools and systems
Manage the DevOps tools including Bitbucket, Jenkins, Artifactory, Monitoring tools and databases
Implement and maintain infrastructure as code using Terraform and Ansible
Take part in solving DevOps challenges in order to support and improve R&D Services and Delivery time
Own end-to-end responsibility for DEV environments
Maintaining R&D systems and issue, build self-services tooling and improve developer experience
Test and integrate new technologies and tools (POC)
Be in charge of integration with the CI team and workflows.

We are seeking an experienced DevOps Engineer to join our Engineering team and play a key role in building and operating our cloud-native platform. The ideal candidate will have hands-on experience managing production environments at scale, driving cloud transformation initiatives, and supporting the of enterprise systems from on-premises deployments to modern SaaS and cloud-native architectures. You will be responsible for designing, automating, and maintaining scalable infrastructure, CI/CD pipelines, and deployment processes that support both our core products and emerging AI-driven capabilities. Working closely with Engineering, QA, Product, and AI teams, you will help ensure the reliability, security, and performance of our services while driving operational excellence and continuous improvement across our technology stack.
Responsibilities:
Design, implement, and maintain CI/CD pipelines.
Manage and optimize cloud infrastructure across AWS, Azure, and/or GCP.
Develop and maintain Infrastructure as Code using Terraform.
Manage Kubernetes-based environments and GitOps deployment workflows using Argo CD and Kustomize.
Lead and support the migration of enterprise applications and infrastructure from on-premises
environments to scalable SaaS and cloud-native architectures.
Establish, maintain, and continuously improve production environments, ensuring high availability, security, scalability, and operational excellence.
Demonstrate strong production ownership, including incident management, root cause analysis, capacity planning, and performance optimization.
Collaborate with Engineering, QA, Product, and AI teams.
Support the deployment, operation, and monitoring of AI and Generative AI services.
Build and maintain monitoring, logging, and alerting systems.
Troubleshoot and resolve infrastructure, deployment, and production issues.

We're seeking an experienced DevOps Engineer to design, automate, and maintain cloud-native infrastructure for scalable microservices deployments while working closely with the SRE team. This role requires 3+ years of hands-on cloud experience with strong Kubernetes expertise and GitOps practices to support development and QA teams across production and development environments.
Provision and manage infrastructure using Terraform IaC across cloud platforms.
Orchestrate advanced Kubernetes deployments with ArgoCD, Helm charts, and GitOps workflows.
Build and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, or equivalents.
Implement full observability stack with Grafana (Prometheus, Loki, Tempo), Azure Monitor, or equivalent tools for comprehensive metrics, logs, and tracing.
Containerize microservices with Docker and deploy across multi-environment setups.
Automate operations with Bash scripting; develop custom tools in Python/Go as needed.
Manage databases including MongoDB; handle basic L3/L4 networking, protocols, and DNS.
Collaborate closely with SRE team on reliability, incident response, and on-call rotations.
About Us:
We are a global leader in enterprise voice technology and Voice AI innovation for the digital workplace and customer experience. We help organizations unlock the full value of voice, transforming every conversation into a strategic asset that drives smarter decisions, better experiences and business growth. Our portfolio spans secure voice infrastructure, unified communications and contact center, with next-generation AI-powered voice solutions. With over 30 years of expertise and presence in more than 100 countries, we are trusted by 65 of the Fortune 100 to power intelligent, agile and future-ready interactions across businesses worldwide.

We are looking for a talented and hands-on DevOps Engineer to join our team and play a key role in building, maintaining, and scaling our cloud infrastructure and delivery pipelines.
What youll do:
Design, implement, and maintain cloud infrastructure across AWS and Azure
Build and manage CI/CD pipelines using Azure DevOps
Develop and maintain Infrastructure as Code using Terraform and Terragrunt
Manage containerized environments using Docker
Administer and maintain Windows and Linux servers
Implement and manage monitoring, logging, and alerting systems using Grafana and related tools
Automate operational processes using PowerShell, Bash, and Python
Collaborate closely with development teams to improve performance, reliability, and system availability
Troubleshoot and resolve issues in complex production environments.

We are international Multi-Cloud experts, utilizing the power of the cloud for smart digital transformation. With 5 sites over 4 continents around the globe, +450 experts, +1000 customers, and +30 years of proven experience, our mission is to deliver the best Multi-Cloud service to our customers, accelerate their business and help them grow. As tech-savvies, To help our customers stay on top of their game, our teams are constantly developing new strategies and tools that will help them improve cloud performance, spending, visibility, control, and automation. Our cloud experts will make any digital transformation a quick, smart, and easy process

-Cloud Infrastructure Platform Ownership:
Design, implement, and maintain scalable infrastructure in a multi-account AWS organization
Manage and deploy applications using Helm charts, GitOps workflows using ArgoCD
Support CI/CD pipelines and release processes.

-Observability Reliability:
Implement and maintain monitoring and logging solutions.
Define alerts, dashboards, and SLOs to ensure system health and operational excellence.

-MLOps Enablement:
Support and operate ML infrastructure in AWS
Enable reliable model deployment, monitoring, and lifecycle management.

-DevSecOps Security:
Implement security best practices across infrastructure and CI/CD pipelines
Enforce IAM least-privilege policies and secure networking configurations
Integrate security ownership and compliance controls.

-DevFinOps Cost Optimization

-IT Operational Support

We are international Multi-Cloud experts, utilizing the power of the cloud for smart digital transformation. With 5 sites over 4 continents around the globe, +450 experts, +1000 customers, and +30 years of proven experience, our mission is to deliver the best Multi-Cloud service to our customers, accelerate their business and help them grow. As tech-savvies, To help our customers stay on top of their game, our teams are constantly developing new strategies and tools that will help them improve cloud performance, spending, visibility, control, and automation. Our cloud experts will make any digital transformation a quick, smart, and easy process.

We are looking for a talented DevOps Engineer (Kubernetes & Terraform) to join our Backend Microservices team. The team develops an innovative Azure-based SaaS platform that enables the creation of AI agents and their integration with telephony and voice communication systems. Operating in a cloud-native environment built on Azure, Kubernetes, Docker, Terraform, and other modern cloud technologies, the team delivers large-scale, production-grade microservices solutions with a strong focus on reliability, scalability, and performance. This is an exciting opportunity to work at the intersection of cloud infrastructure, DevOps, and AI-driven technologies while helping shape and maintain a highly available platform used at scale.
Responsibilities:
Work with DevOps and cloud infrastructure to ensure smooth delivery and operations.
Manage, deploy, troubleshoot, and scale Kubernetes, Terraform, and Azure-based environments.
Support both development and production environments.
Help define, build, and deploy cloud environments.
Troubleshoot and optimize system performance and cloud costs across services and environments.
Ensure the reliability, scalability, and security of services.
Design, develop, and maintain backend services and APIs.
About Us:
We are a global leader in enterprise voice technology and Voice AI innovation for the digital workplace and customer experience. We help organizations unlock the full value of voice, transforming every conversation into a strategic asset that drives smarter decisions, better experiences and business growth. Our portfolio spans secure voice infrastructure, unified communications and contact center, with next-generation AI-powered voice solutions. With over 30 years of expertise and presence in more than 100 countries, we are trusted by 65 of the Fortune 100 to power intelligent, agile and future-ready interactions across businesses worldwide.

You will join a global DevOps & Platform team responsible for designing and operating distributed production systems at very high scale, with a relentless focus on quality, robustness, and reliability. We provide our company with the tools it needs to push forward product innovation and scale in the age of AI.

You will own projects end-to-end, drive new implementations forward, and act as a technical partner across the organization. Youll work closely with the Platform teams, Development teams, Architects, AI/ML Researchers, and Product, translating complex needs into resilient systems that scale.

Were looking for someone who takes ownership, who can see a problem or a need, shape the solution, and carry it all the way to production.

The day-to-day
Lead initiatives end-to-end, from design through implementation to production rollout, owning the outcome, not just the task
Design, build, and operate highly available, distributed systems at scale on AWS and GCP, with a strong emphasis on quality and robustness
Work across the full platform stack, Kubernetes, Docker, and Helm, CI/CD and automation, and the data, caching, and messaging layers (Mongo, MySQL, Postgres, Redis, Kafka, and more)
Modernize and consolidate different stacks and architectures into our single, coherent platform
Build and operate the infrastructure behind our AI workloads, including GPU inference and the platforms that serve them
Drive system reliability, monitoring, and observability, and troubleshoot complex issues across application, infrastructure, networking, OS, and data layers
Collaborate across Platform, Development, Architects, AI/ML Researchers, and Product, and leverage modern AI coding tools to work at high velocity and quality

We are adding a third DevOps engineer to increase delivery capacity, reduce single-person risk on critical systems, and grow our database infrastructure capability from within. If building resilient cloud and on-prem systems at scale sounds like the right challenge, we'd like to hear from you.

What you'll be doing:

Design, build, and operate Kubernetes infrastructure across Azure AKS and on-prem clusters, including ingress, autoscaling with Keda, TLS management, and GPU-enabled workloads.

Extend and harden CI/CD pipelines in GitLab, manage runners across multiple environments, and evolve GitOps-based deployments through ArgoCD.

Maintain and improve the critical on-prem infrastructure - Linux servers, NGINX, container platforms, and networking - that several production workflows depend on.

Partner with development, data, and architecture teams to streamline delivery, improve observability across Datadog, and shorten time-to-recovery during incidents.

Contribute to flagship initiatives on the roadmap: per-site Kubernetes cluster rollouts, AKS upgrades and node pool reorganization, GPU cluster enablement, and secret management with Azure Key Vault, and Sealed Secrets.

Automate provisioning and configuration across Azure resources and on-prem systems using infrastructure-as-code and scripting.

Troubleshoot across the full stack - from networking and certificates to container runtime and pipeline internals - turning incidents into durable improvements.

We are international Multi-Cloud experts, utilizing the power of the cloud for smart digital transformation. With 5 sites over 4 continents around the globe, +450 experts, +1000 customers, and +30 years of proven experience, our mission is to deliver the best Multi-Cloud service to our customers, accelerate their business and help them grow. As tech-savvies, To help our customers stay on top of their game, our teams are constantly developing new strategies and tools that will help them improve cloud performance, spending, visibility, control, and automation. Our cloud experts will make any digital transformation a quick, smart, and easy process.

Required Developer Advocate
This role sits at the intersection of engineering, product, and the global developer community. Youll translate our technical work across all domains, repositories, security, release management, pipelines, distribution, metadata, AI/ML, and ecosystem integrations, into content, demos, talks, and conversations that developers trust. Youll also bring community insights back into our R&D and business teams to influence product direction.
As a Developer Advocate you will:
Represent us across developer, DevOps, security, and platform-engineering communities through conferences, meetups, webinars, podcasts, and online conversations
Create high-quality technical content: deep-dive articles, demos, hands-on guides, screencasts, code samples, and social content
Build compelling demos and storytelling around our core domains: Artifactory, Xray, Curation, Distribution, Pipelines, Workers, Fly, AI/MCP, and ecosystem integrations like GitHub
Collaborate closely with R&D, Product, Security, Solutions Engineering, Architecture, and Customer Success to deeply understand new capabilities and provide practical feedback
Engage with open source and developer communities, finding new channels and conversations where we should have a voice
Partner with Marketing to strengthen messaging while preserving technical credibility
Monitor and report impact across community engagement, content performance, OSS participation, and broader DevRel KPIs.