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NeuroHire is building an AI-first SaaS platform transforming how companies hire. Our product relies on scalable infrastructure, reliable deployments, and secure systems that support AI-driven workloads and growing customer usage. We’re looking for a DevOps Engineer who sees infrastructure as a product — someone who enjoys automation, reliability, and building systems that scale without constant firefighting. If you care about uptime, performance, and clean deployment pipelines, you’ll fit right in.
Job Responsibility:
Design and maintain scalable cloud infrastructure for a growing SaaS platform
Build and optimize CI/CD pipelines for fast and reliable deployments
Automate infrastructure provisioning using Infrastructure as Code
Improve system reliability, availability, and performance
Monitor production systems and proactively resolve issues
Strengthen security practices across environments
Optimize cloud resources for cost and efficiency
Collaborate closely with engineering teams to improve developer experience
Support AI/ML workloads and data pipelines where required
Requirements:
3+ years of experience in DevOps, SRE, or infrastructure engineering
Strong hands-on experience with cloud platforms (AWS, GCP, or Azure)
Experience with CI/CD tools and deployment workflows
Proficiency in containerization and orchestration (Docker, Kubernetes)
Experience with Infrastructure as Code tools (Terraform, CloudFormation, etc.)
Strong scripting skills (Python, Bash, or similar)
Familiarity with monitoring/logging tools (Prometheus, Grafana, ELK, Datadog, etc.)
Understanding of networking, security, and system architecture
Comfortable working in a fast-paced startup environment
Nice to have:
Experience supporting AI/ML systems in production
Exposure to microservices or distributed systems
Experience in high-growth SaaS environments
Background in incident response and reliability engineering
Familiarity with security best practices and compliance standards