DevOps / Cloud Engineer

Pathlock; Mexico; On-site; MXN 600,000 - 900,000; Full time

Job summary

Pathlock is seeking an experienced DevOps / Cloud Engineer to join our global team. You will own the reliability, scalability, and automation of a multi-cloud SaaS platform running in AWS and Azure, serving hundreds of enterprise tenants.

You will design and maintain CI/CD pipelines, build automation, and improve observability using Elastic Stack, Prometheus, or Datadog, while developing tooling in Python, Go, Bash, and YAML. Strong collaboration across engineering is essential.

Qualifications

• Minimum 5 years of experience as a DevOps, SRE, or Cloud Engineer in a production SaaS environment.
• Strong hands-on experience with Kubernetes, Helm, and Argo.
• Proficient in YAML, Bash, Python, and Go.
• Deep understanding of CI/CD pipelines, Git, and GitOps workflows.
• Experience with monitoring and observability tools such as Elastic Stack, Prometheus, or Datadog.
• Solid understanding of AWS and/or Azure cloud services.
• Excellent problem-solving skills, especially in debugging distributed systems.
• Strong communication and collaboration skills with a DevOps mindset.

Responsibilities

• Design, implement, and maintain CI/CD pipelines across multi-cloud SaaS platforms.
• Drive automation across infrastructure provisioning, deployments, and workflows.
• Own and improve observability and monitoring using Elastic Stack, Prometheus, or Datadog.
• Develop tools and scripts (Python, Go, Bash, PowerShell) to boost developer efficiency.
• Manage and optimize Kubernetes infrastructure with Helm, Argo, and KEDA.
• Implement infrastructure-as-code across AWS and Azure environments.
• Participate in on-call rotations for platform reliability and quick incident response.
• Perform root-cause analysis and postmortems for failures.
• Collaborate closely with engineering teams to embed reliability into the product.

Skills

CI/CD pipelines

GitOps workflows

Observability

Distributed systems debugging

DevOps mindset

Communication & collaboration

Tools

Kubernetes

Helm

Argo

Prometheus

Grafana

Datadog

Git

YAML

Bash

Python

Go

AWS

Azure

Job description

Pathlock is a global leader in access governance and application security, protecting the world’s largest enterprises across ERP, SaaS, and cloud applications. Our platform manages risk, enforces compliance, and provides continuous control monitoring for hundreds of enterprise customers across multiple clouds.

Role Overview

We’re looking for an experienced DevOps / Cloud Engineer to join our global DevOps team. You’ll be part of a core group responsible for the reliability, scalability, and automation of our multi-cloud SaaS platform running in AWS and Azure. The environment supports hundreds of enterprise tenants and requires exceptional operational maturity, automation, and observability.

Key Responsibilities

• Design, implement, and maintain CI/CD pipelines using GitOps principles (GitHub Actions, ArgoCD, etc.)
• Drive automation across infrastructure provisioning, deployments, and operational workflows
• Own and improve observability and monitoring, leveraging Elastic Stack or equivalent (Prometheus, Grafana, Datadog)
• Develop tools and scripts (Python, Go, Bash, PowerShell) to enhance developer experience and efficiency
• Manage and optimize Kubernetes infrastructure using Helm, Argo, and KEDA
• Implement and maintain infrastructure‑as‑code across multi‑cloud environments (AWS, Azure)
• Participate in on‑call rotations ensuring platform reliability and fast incident response
• Perform root‑cause analysis and postmortems for infrastructure or software failures
• Collaborate closely with engineering teams to embed operational excellence and reliability into the product

Qualifications

• Minimum 5 years of experience as a DevOps, SRE, or Cloud Engineer in a production SaaS environment
• Strong hands‑on experience with Kubernetes, Helm, and Argo
• Proficient in YAML, Bash, Python, and Go
• Deep understanding of CI/CD pipelines, Git, and GitOps workflows
• Experience with monitoring and observability tools such as Elastic Stack, Prometheus, or Datadog
• Solid understanding of AWS and/or Azure cloud services
• Excellent problem‑solving skills, especially in debugging distributed systems
• Strong communication and collaboration skills with a DevOps mindset

Nice to Have

• Experience with Terraform or Pulumi
• Exposure to service mesh and secrets management solutions
• Familiarity with cost optimization and performance tuning across cloud environments