Senior Cloud Infra Engineer — AI-Driven Automation, Remote

Nexaminds; United States; Remote; USD 64,000 - 96,000; Full time

Benefits offered by this job

Stock options

Remote work options

Flexible working hours

Benefits above the law

Mentorship and learning opportunities

Job summary

Join Nexaminds as a Senior Cloud Infrastructure Engineer to design, build, and operate AI-augmented cloud infrastructure for large-scale customer-facing services. You will implement automated patching, AI agents, and proactive observability, collaborating with distributed teams to ensure reliability.

Ideal candidates have 5+ years in cloud infrastructure, strong AWS expertise, and experience with Kubernetes, Terraform, and CI/CD tooling.

Qualifications

• 5+ years of professional experience in cloud infrastructure.
• Strong experience with AWS cloud services.
• Hands-on experience building AI-driven automation in an engineering environment, such as AI agents, automated patching, dependency updates, or operational workflows.
• Professional experience with Linux, Bash, Terraform, Python, Kubernetes, Helm, ArgoCD, and Nginx.
• Experience with AWS services: EC2, Auto Scaling, ALB, EKS, ECS, Spot Fleet, CloudWatch, CloudFront, RDS, and ElastiCache Redis/Valkey.
• Observability platforms: Datadog, New Relic, or Sumo Logic.
• Strong analytical and problem-solving skills for troubleshooting full-stack web services and production infrastructure.
• Experience monitoring service availability, latency, logs, and container health signals.
• Excellent communication and collaboration skills, including documentation, code reviews, and change management.
• Ability to work with distributed teams and English.
• Willingness to participate in an on-call rotation covering workdays and occasional weekends.

Responsibilities

• Design, build, and maintain automated patching and update workflows for operating systems, container images, Kubernetes, and software dependencies.
• Develop and operate AI agents and automated workflows that support infrastructure operations, including incident detection, triage, and response.
• Identify opportunities to reduce manual on-call workload and improve MTTR through automation.
• Support web services, including Ruby on Rails and Golang applications, through production readiness reviews and operational preparation.
• Monitor production service health, availability, latency, logs, and container-level health signals.
• Troubleshoot infrastructure and production incidents, implementing recovery actions across cloud services, databases, regions, and Kubernetes environments.
• Participate in blameless postmortems and turn recurring incidents into automated workflows and AI-driven solutions.
• Contribute code changes to infrastructure, CI/CD pipelines, and observability tooling.
• Collaborate with distributed engineering teams to improve service reliability, observability, and availability against SLAs.
• Participate in agile planning, story definition, work estimation, and continuous improvement initiatives.

Skills

Cloud infrastructure

Analytics

On-call readiness

Tools

AWS

Linux

Bash

Terraform

Python

Kubernetes

Helm

ArgoCD

Nginx

Datadog

New Relic

Sumo Logic

Job description

Join Nexaminds as a Senior Cloud Infrastructure Engineer to design, build, and operate AI-augmented cloud infrastructure for large-scale customer-facing services. You will implement automated patching, AI agents, and proactive observability, collaborating with distributed teams to ensure reliability.

Ideal candidates have 5+ years in cloud infrastructure, strong AWS expertise, and experience with Kubernetes, Terraform, and CI/CD tooling.