DevOps & Site Reliability Engineer (SRE) - Remote
EngrewLabs is an AI-native technology company focused on building intelligent automation, scalable cloud infrastructure, and next-generation AI solutions. We help startups and enterprises deploy reliable, high-performance systems that power modern applications, machine learning platforms, and AI products.
Our team values ownership, automation, and operational excellence. We believe the best engineers build systems that are scalable, observable, and resilient while enabling developers to move fast.
### What You’ll Do
* Design, implement, and maintain cloud infrastructure across AWS, GCP, or Azure.
* Build and improve CI/CD pipelines to support rapid and reliable deployments.
* Manage Kubernetes clusters and containerized applications in production environments.
* Develop Infrastructure as Code (IaC) solutions using tools such as Terraform.
* Monitor system performance, availability, and reliability across multiple services.
* Establish observability practices using logging, metrics, and distributed tracing.
* Respond to incidents, perform root cause analysis, and implement preventive measures.
* Improve system security, scalability, and disaster recovery capabilities.
* Collaborate closely with software engineers to optimize deployment workflows and platform reliability.
* Automate repetitive operational tasks and continuously improve engineering productivity.
### Requirements
* Strong experience with Linux system administration.
* Experience managing cloud infrastructure on AWS, GCP, or Azure.
* Proficiency with Docker and Kubernetes.
* Experience building and maintaining CI/CD pipelines.
* Knowledge of Infrastructure as Code tools such as Terraform or Pulumi.
* Experience with monitoring and observability platforms.
* Familiarity with networking fundamentals, DNS, load balancing, and security best practices.
* Experience scripting or programming with Python, Go, Bash, or similar languages.
* Strong troubleshooting and incident management skills.
* Ability to work independently in a remote-first environment.
### Nice to Have
* Experience operating large-scale distributed systems.
* Knowledge of GitOps workflows using ArgoCD or FluxCD.
* Experience with service mesh technologies such as Istio or Linkerd.
* Familiarity with Prometheus, Grafana, Loki, ELK Stack, OpenTelemetry, or Datadog.
* Experience supporting AI, machine learning, or data infrastructure workloads.
* Knowledge of database administration and performance optimization.
* Experience with security compliance frameworks and cloud security best practices.
* Previous startup or high-growth company experience.
### What We Look For
* Engineers who enjoy automating manual processes.
* Builders who prioritize reliability, scalability, and security.
* Strong problem-solvers who thrive during operational challenges.
* Individuals who take ownership and proactively improve systems.
* Team players who collaborate effectively with software and platform engineers.
* Continuous learners who stay current with cloud-native technologies and industry best practices.
* People who believe that operational excellence is a competitive advantage.
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