Job Description

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:
What You’ll Do:

--> Architect, design, and provide guidance on cloud-based services and applications, with a focus on AWS, Azure, and GCP, including Kubernetes integration. --> Lead in deploying, monitoring, and scaling Kubernetes clusters across multiple cloud platforms, ensuring the stability and reliability of the production environment. --> Collaborate with cross-functional teams to strategize and improve multi-tenant and multi-cloud architecture, demonstrating leadership in Infrastructure, CI/CD, Automation, and Observability. --> Mentor junior team members and provide expert troubleshooting for infrastructure-related incidents in a multi-cloud environment, including managing on-call shifts. --> Drive the optimization of system performance, security, and overall quality of service across various cloud platforms. --> Implement and standardize best practices in multi-cloud infrastructure management using Infrastructure as Code (IaC) tools, such as Terraform.

Skills Required:

•    Extensive experience in systems/DevOps/CloudOps or Site Reliability Engineering related roles, particularly with AWS, Azure, and GCP, including Kubernetes. •    Expertise in deploying, monitoring, and scaling Kubernetes clusters in high-traffic production environments across multiple clouds. •    In-depth understanding of containers, containerization concepts, and multi-cloud strategies. •    Proven experience in configuring, deploying, and maintaining cloud infrastructure using AWS, Azure, GCP services, and Infrastructure as Code (IaC) tools. •    Mastery of CI/CD systems, such as Gitlab or similar tools, in a multi-cloud environment. •    Advanced understanding of Linux fundamentals. •    Proficiency in one or more scripting languages, such as Bash or Python. •    Demonstrated ability to analyze distributed systems across different clouds, debug, and solve complex problems. •    Commitment to continuous learning and the application of best engineering practices for building high-performance, reliable, and scalable applications in a multi-cloud environment. •    Ability to drive new technologies and optimize delivery timelines across various cloud platforms. •    Excellent communication, collaboration, and leadership skills. •    Completed M.S. or B.S. in Computer Science or equivalent experience.

It's Great If You also Have:

•    Relevant advanced certifications in AWS, Azure or GCP, such as AWS Certified Solutions Architect – Professional, Azure Solutions Architect Expert, Google Professional Cloud Architect. •    Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), or Certified Kubernetes Security Specialist (CKS). •    5+ years of Extensive hands-on experience in developing and leading cloud-native applications across different cloud platforms.

Location preference:

India - Bangalore