DevOps Engineer

This is a fully remote position, open to applicants in Mexico, +1 more state.

📋 Description

• Design, develop, and enhance dependable, scalable, high-performance, and secure production platforms and services.

• Collaborate closely with cross-functional teams to establish and sustain resilient infrastructure and deployment methodologies.

• Provide support and guidance to engineers throughout the organization, fostering robust engineering standards and operational best practices.

• Engage in a 24x7 on-call rotation to support essential services and ensure platform availability.

• Lead efforts in standardization, automation, and documentation to enhance consistency, minimize operational overhead, and facilitate knowledge sharing.

• Contribute throughout the entire lifecycle of platform and service delivery, from initial design and construction to operation and optimization.

⛳️ Requirements

• Over 3 years of experience in DevOps, SRE, platform engineering, or software engineering roles.

• Extensive experience with Kubernetes, along with a deep understanding of containers and container orchestration.

• Practical experience with infrastructure as code tools such as Terraform, Ansible, or Puppet.

• Proficiency in at least one object-oriented programming language, coupled with skills in scripting and automation.

• Solid grasp of security principles and best practices pertaining to infrastructure, platforms, and services.

• Practical experience with one or more leading cloud platforms, including exposure to AWS, GCP, or OCI.

• Experience in monitoring, alerting, and observability using tools like Prometheus, Grafana, or similar platforms.

• Comprehensive understanding of networking fundamentals and distributed systems.

• Strong experience in Linux and/or Windows systems administration.

• Familiarity with software delivery automation, CI/CD pipelines, and secure SDLC practices, including experience with static and dynamic security testing.

• Good understanding of SRE concepts such as SLIs, SLOs, SLAs, toil reduction, availability, and observability.

• Experience managing and supporting Elasticsearch in a production environment is a plus.

🏝️ Benefits

• Health insurance

• Retirement plans

• Paid time off

• Flexible work arrangements

• Professional development

• Stock options

• Equipment allowances