Company Overview:

Gnani.ai is a leader in the conversational AI space, specializing in building advanced speech-to-text, text-to-speech, and natural language processing solutions. The company provides enterprise-grade AI infrastructure that enables businesses to automate customer interactions and gain actionable insights from voice and text data. Operating at the intersection of deep tech and scalable cloud architecture, Gnani.ai serves global clients across sectors like banking, healthcare, and retail, focusing on delivering high-performance, low-latency AI models in production environments.

Role Overview:

As a Senior DevOps Engineer based in Bangalore, you will be the backbone of our infrastructure, ensuring that our AI models and applications are deployed reliably and at scale. You will work closely with data scientists, machine learning engineers, and software developers to bridge the gap between model development and production deployment. Your daily efforts will focus on optimizing our cloud footprint, automating deployment pipelines, and maintaining the high availability of our services, directly impacting the performance and reliability of our AI solutions for our enterprise customers.

Key Responsibilities:

- Design and maintain robust CI/CD pipelines to accelerate the delivery of AI-driven applications and services.

- Manage and scale containerized environments using Kubernetes and Docker to ensure consistent performance across development and production.

- Implement Infrastructure as Code (IaC) using Terraform to automate the provisioning and management of cloud resources on AWS and Azure.

- Automate configuration management and system administration tasks using Ansible to reduce manual overhead and improve system reliability.

- Monitor system health, latency, and resource utilization to proactively identify and resolve bottlenecks in our production infrastructure.

- Collaborate with engineering teams to implement security best practices and ensure compliance across all cloud environments.

Required Skillset:

- Demonstrated expertise in managing large-scale cloud infrastructure on AWS and Azure platforms.

- Strong proficiency in container orchestration with Kubernetes and containerization using Docker in production environments.

- Proven ability to write efficient automation scripts using Python and Shell to streamline operational workflows.

- Hands-on experience in building and optimizing CI/CD pipelines to support rapid deployment cycles.

- Solid understanding of Infrastructure as Code principles using Terraform and configuration management tools like Ansible.

- Ability to communicate complex technical challenges clearly to cross-functional teams and stakeholders.

- Strong problem-solving skills with a focus on maintaining system uptime and operational excellence.

- 4 - 6 years of professional experience in DevOps or Site Reliability Engineering roles.

- Ability to work effectively in a hybrid work environment from our Bangalore office.