InfraOps Engineer

Job Summary

A technology company focused on building innovative software solutions that help businesses streamline operations, improve efficiency, and leverage data and automation to drive better decision-making.

Build and operate the infrastructure behind the product. Own meaningful parts of the cloud, deployment, networking, observability, reliability, and production operations setup. Translate fast moving AI capabilities into stable production systems. Build reliable, maintainable, secure, scalable, and observable infrastructure. Own what you ship, including delivery, reliability, production behavior, and what happens after deployment. InfraOps Engineer responsible for building and operating the infrastructure behind AI systems used by large enterprise customers. The role involves owning cloud, deployment, networking, observability, reliability, and production operations, including deploying classical ML and LLM based systems across cloud and on premise environments.

Responsibilities

• Build and operate the infrastructure behind the product.
• Own meaningful parts of the cloud, deployment, networking, observability, reliability, and production operations setup.
• Set up deployment workflows, CI/CD pipelines, monitoring, logging, access controls, and infrastructure needed to run AI systems reliably.
• Work with AWS, Azure, Google Cloud, or similar cloud platforms.
• Build secure connectivity across cloud and on premise systems using VPNs, gateways, and related infrastructure.
• Work with PostgreSQL, PgVector, Redis, Kafka, RocketMQ, or similar tools.
• Debug across application, database, infrastructure, cloud, networking, and distributed system boundaries.
• Translate fast moving AI capabilities into stable production systems.
• Build reliable, maintainable, secure, scalable, and observable infrastructure.
• Support production systems and be available for production support when needed.
• Own what you ship, including delivery, reliability, production behavior, and what happens after deployment.
• InfraOps Engineer responsible for building and operating the infrastructure behind AI systems used by large enterprise customers.
• The role involves owning cloud, deployment, networking, observability, reliability, and production operations, including deploying classical ML and LLM based systems across cloud and on premise environments.

Skills

• Python
• shell scripting
• SQL
• AWS
• Azure
• Google Cloud
• CI/CD pipelines
• Monitoring systems
• PostgreSQL