
Senior DevOps Cloud Engineer, AI
Posted Sep 11

Posted Sep 11
This is a fully remote position, open to applicants in India.
β’ Develop infrastructure and systems that balance operational excellence, security, reliability, performance efficiency, and cost optimization.
β’ Enhance system observability through infrastructure as code, operational and health metrics, CI/CD pipelines, and infrastructure automation.
β’ Play a key role in DevOps roadmaps, infrastructure modernization, new projects, deployments, and system hardening.
β’ Incorporate AI-powered tools for predictive monitoring, anomaly detection, intelligent alerting, and auto-remediation.
β’ Leverage AI/ML insights to improve CI/CD pipelines, deployment strategies, infrastructure performance, and cost efficiency.
β’ Create and sustain self-healing systems utilizing AI-based observability platforms.
β’ Facilitate cloud modernization and centralization in collaboration with business, analytics, software, InfoSec, and data science teams.
β’ Design and enforce SDLC, InfoSec, and compliance standards.
β’ Assist in root cause analysis and incident resolution.
β’ Support database operations for SQL Server and MySQL, including SQL scripts, database objects, and performance/connection troubleshooting.
β’ Manage, patch, and monitor MySQL and SQL Server databases within AWS and GCP environments.
β’ Implement Infrastructure as Code solutions using Terraform.
β’ Architect, develop, and maintain CI/CD pipelines using GitHub Actions.
β’ Oversee the GitHub Organization repository structure, branch protection, and access controls.
β’ Automate releases and deployments leveraging GitHub Actions and IaC.
β’ Configure and manage Cloudflare DNS, CDN caching, rulesets, load balancing, Workers, WAF, and Zero Trust services.
β’ Provide 24/7/365 monitoring, incident response, and on-call support.
β’ Mentor junior engineers, spearhead technical initiatives, collaborate across departments, and execute assigned IT projects.
β’ Bachelor's degree in Computer Science, Software, or Systems Engineering preferred, or equivalent experience.
β’ Over 8 years of relevant experience.
β’ Proficient in cloud-based systems and containerized infrastructure, including Linux/OS fundamentals, Kubernetes, database systems, and cloud networking.
β’ Extensive expertise with GCP required; significant knowledge across two or more cloud platforms, including GCP and AWS, preferred.
β’ Experience supporting AI/ML platforms and integrating AI-driven DevOps tools.
β’ Proficient in MySQL and SQL Server database infrastructure in AWS and GCP.
β’ Familiarity with LLM-based systems, vector databases, or AI APIs.
β’ Expertise in building web/internet platform components, such as proxies, caches, load balancers, firewalls, app/web server tiers, and database systems.
β’ Experience in Unix scripting is required.
β’ Conceptual and practical knowledge of CI/CD, IaC, configuration management, and secrets/vault management.
β’ Proficient in troubleshooting systems, networks, and applications in distributed/microservice environments.
β’ Hands-on experience with Cloudflare.
β’ Strong practical experience with GitHub Actions for CI/CD.
β’ Experience managing GitHub Organizations, repository permissions, and branch protection policies.
β’ Experience in IT for a publicly owned company based in the United States is preferred.
β’ Excellent written and verbal communication skills in English.
β’ Proven track record of working with US-based business teams.
β’ Ability to work during core US business hours with an overlap in Eastern Standard Time.
β’ A quiet, dedicated workspace and a reliable internet connection with a minimum speed of 50 Mbps.
β’ Medical insurance.
β’ Accident insurance.
β’ Retiral benefits.
β’ 12 company-paid holidays.
β’ 2 flexible holidays.
β’ Privilege/earned leave.
β’ Casual/sick leave.
β’ Paid maternity and paternity leaves.
β’ Weekly wellness events.
β’ Remote work arrangement.
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