Staff DevOps Engineer

About This Opportunity

We are representing a confidential global technology organization seeking an accomplished Staff DevOps Engineer to help shape and evolve their cloud, DevOps, and SRE platforms. This role is based in Brazil or Mexico and offers the opportunity to design and implement the tools, automation, and infrastructure that support reliable, secure, and scalable service delivery across their environments.

You will play a key role in improving platform reliability, operational efficiency, scalability, and consistency, working across teams to deliver resilient and well-governed solutions. This position also includes mentoring other engineers and helping drive best practice across cloud infrastructure, automation, CI/CD, and site reliability engineering.

Responsibilities

• 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

What We're Looking For

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
• Advanced networking experience

How We Work With You

When you apply through Get A Job.ai, our talent team will review your profile and conduct an initial screening to understand your background and career goals. If there's a strong match, we will submit your candidacy to our client for their consideration. Please do not contact the client directly—all communication regarding this opportunity should go through our recruiting team to ensure the best experience for everyone involved.

Pay

Compensation details will be discussed during the screening process based on experience and location.

Equal Employment Opportunity: Get A Job.ai is committed to inclusive hiring practices. We welcome applications from all qualified candidates regardless of race, color, religion, sex, gender identity, sexual orientation, national origin, disability, age, or veteran status.