Job Details

This range is provided by CodeRound AI. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$175,000.00/yr - $240,000.00/yr

Direct message the job poster from CodeRound AI

Coderound AI - Hire Pre-Vetted & AI Interviewed Engineers

???? What we're building

• CodeRound AI matches top 5% tech talent to fastest growing VC funded AI startups.
• Candidates apply once and get UPTO 10 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 4+ 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).
• 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

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Technology
• Information and Internet

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