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DevOps Engineer (25 LPA - 50 LPA)

5 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

🚀 What We’re Building

  • CodeRound AI matches top 5% tech talent to fastest growing VC funded AI startups in Silicon Valley and India.
  • Candidates apply once and get UPTO 20 remote as well as onsite interview opportunities IF selected!
  • Top-tier product startups in US, UAE & India have hired top engineers & ML folk using CodeRound

🧩 What You’ll Do

  • Build and optimize our cloud infrastructure — scalable, secure, and cost-effective (mostly AWS).
  • Set up and manage CI/CD pipelines to ensure smooth deployment across backend, AI services, and mobile.
  • Containerize backend services (FastAPI, Rails) and optimize them for performance.
  • Implement monitoring, alerting, and logging to catch issues before users do.
  • Optimize database performance (Postgres, Redis) and manage backups and scaling.
  • Collaborate with backend, AI, and product teams to deploy new features safely and quickly.
  • Champion infra-as-code and automation wherever possible.

💥 Why this is exciting

  • You'll own DevOps for a high-usage, real-world AI platform — not just internal tools.
  • You’ll work on real-time, high-stakes flows — interviews, scoring, hiring decisions.
  • You’ll work closely with founders, ship weekly, and see the direct impact of your work.

✅ You’ll Be Great At This If You

  • Have 2–5 years of experience as a DevOps engineer, SRE, or infrastructure engineer.
  • Are strong with AWS services (EC2, RDS, ECS/EKS, S3, CloudWatch).
  • Can write clean, reusable Terraform or CloudFormation code.
  • Have experience setting up CI/CD pipelines and optimizing build/release flows.
  • Are comfortable with Docker, Linux servers, and basic networking (VPCs, security groups).
  • Understand application and database scaling (horizontal/vertical).

⚡ Bonus If You

  • Have experience supporting AI/ML pipelines in production (fine-tuning infra, vector DBs, etc.).
  • Know cost optimization tricks for cloud infra (spot instances, autoscaling groups, etc.).
  • Are excited to eventually build a small infra team

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