DevOps Architect

About Cognida.ai Our Purpose is to boost your competitive advantage using AI and Analytics.

We Deliver tangible business impact with data-driven insights powered by AI. Drive revenue growth, increase profitability and improve operational efficiencies.

We Are technologists with keen business acumen - Forever curious, always on the front lines of technological advancements. Applying our latest learnings, and tools to solve your everyday business challenges.

We Believe the power of AI should not be the exclusive preserve of the few. Every business, regardless of its size or sector deserves the opportunity to harness the power of AI to make better decisions and drive business value.

We See a world where our AI and Analytics solutions democratise decision intelligence for all businesses. With Cognida.ai, our motto is ‘No enterprise left behind’.

Qualifications Bachelor's degree in BE/B. Tech /MCA

15+ years of experience

Position: DevOps Architect Location: Hyderabad, India

• 15+ years of overall IT experience with a strong background in DevOps/SRE roles.
• Proven expertise with Terraform for Infrastructure as Code (modular, reusable, and production-grade deployments).
• Strong hands-on experience with cloud platforms, including AWS / Microsoft Azure services (networking, compute, storage, databases, and security).
• Experience with multi-cloud or hybrid cloud environments (AWS / Azure preferred).
• Solid knowledge of CI/CD pipelines with GitHub Actions (GHA).
• Proficiency in scripting (Python, Bash, Shell, or Go) for automation.
• Experience with containerization and orchestration (Docker, Kubernetes, ECS/EKS/AKS).
• Familiarity with observability tools (ELK, Datadog, CloudWatch, Azure Monitor).
• Strong understanding of networking (DNS, Load Balancers, VPNs, VPCs in AWS / VNets in Azure, security groups / NSGs).
• Experience implementing DevSecOps practices and integrating security checks into CI/CD.
• Exposure to configuration management tools (e.g., Ansible, Chef, Puppet).
• Knowledge of cost optimization strategies on AWS / Azure.