DevOps / SRE | CodeRound AI | 25 LPA - 50 LPA | Remote/Onsite

Company: CodeRound AI
Role: DevOps Engineer / SRE
Location: Remote / Onsite
Salary: ₹25 LPA - ₹50 LPA

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About CodeRound AI

At CodeRound AI, we revolutionize tech hiring by matching the top 5% of tech talent with fast-growing, VC-funded AI startups in Silicon Valley and India. As a DevOps Engineer / SRE, you'll optimize and manage cloud infrastructure for a real-world AI platform, directly contributing to high-stakes projects and the growth of the tech ecosystem.

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Responsibilities

• Cloud Infrastructure: Build and optimize secure, scalable, and cost-effective cloud infrastructure, primarily on AWS
• CI/CD Pipelines: Set up and manage seamless deployment pipelines for backend services, AI services, and mobile platforms
• Containerization: Optimize containerized services (e.g., FastAPI, Rails) for performance and scalability
• Monitoring & Logging: Implement comprehensive monitoring, alerting, and logging for proactive issue resolution
• Database Optimization: Optimize Postgres and Redis database performance, manage backups, and scale as needed
• Collaboration: Work with backend, AI, and product teams to ensure smooth and rapid deployment of new features
• Automation: Champion Infrastructure-as-Code and automate processes across the platform

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Why This is Exciting

• Impactful Role: Own the DevOps for a high-usage AI platform, driving real-time AI flows in interviews, scoring, and hiring decisions
• Close Collaboration: Work closely with founders and see the direct impact of your work in weekly releases
• Scalability: Work on cloud infrastructure foundational to the company's long-term success

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Requirements

• Experience: 2–5 years as a DevOps Engineer, SRE, or Infrastructure Engineer
• Skills:
  • Proficiency with AWS services (EC2, RDS, ECS/EKS, S3, CloudWatch)
  • Experience in writing reusable Terraform or CloudFormation code for infrastructure management
  • CI/CD pipeline setup and build/release optimization
  • Familiarity with Docker, Linux servers, and networking (e.g., VPCs, security groups)
  • Understanding of application and database scaling (horizontal/vertical)

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Bonus Points

• Experience with AI/ML pipelines in production, managing vector databases
• Cost optimization for cloud infrastructure (e.g., spot instances, autoscaling groups)
• Passion for building and leading an infra team

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Hashtags

#DevOpsEngineer #SRE #AIInfrastructure #AWS #Terraform #CI_CD #Docker #Linux #CloudInfrastructure #CloudOptimizations #AWSCloud #DevOpsCareers #TechTalent #AIStartups #Postgres #Redis #InfrastructureAsCode #AI #Scaling #Monitoring #TechJobsIndia #RemoteJobs #OnsiteJobs

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