Staff DevOps Engineer
Location: Remote - Mexico; Remote- Brazil
Department: 710 - Software Product Engr
What you’ll do
- Lead the design, implementation, and ongoing improvement of reliable, scalable, performant, and secure production platforms and services.
- Work closely with cross-functional teams to build and maintain resilient infrastructure and deployment patterns.
- Provide technical leadership and mentorship to engineers across the organisation, promoting strong engineering standards and operational best practice.
- Participate in a 24x7 on-call rotation to support critical services and ensure platform availability.
- Drive standardisation, automation, and documentation to improve consistency, reduce operational overhead, and support knowledge sharing.
- Contribute across the full lifecycle of platform and service delivery, from design and build through to operation and optimisation.
Essential skills and experience
- 5+ years of experience in DevOps, SRE, platform engineering, or software engineering roles.
- Strong Kubernetes experience at scale, with deep understanding of containers and container orchestration.
- Hands-on experience with infrastructure as code tools such as Terraform, Ansible, or Puppet.
- Strong programming skills in at least one object-oriented language, along with effective scripting and automation capability.
- Strong understanding of security principles and best practices across infrastructure, platforms, and services.
- Significant hands-on experience in at least one major cloud platform, with broad exposure across AWS, GCP, or OCI.
- Strong monitoring, alerting, and observability experience using tools such as Prometheus, Grafana, or similar platforms.
- Solid understanding of networking fundamentals and distributed systems.
- Strong Linux and/or Windows systems administration experience.
- Experience with software delivery automation, CI/CD pipelines, and secure SDLC practices, including exposure to static and dynamic security testing.
- Good understanding of SRE concepts such as SLIs, SLOs, SLAs, toil reduction, availability, and observability.
- Experience managing and scaling Elasticsearch in production is strongly preferred.
Preferred skills
- Kafka
- MySQL and/or PostgreSQL
- Redis
- Networking
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