Staff Platform Engineer | Service Mesh

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Platform Engineer | Service Mesh based in Brazil.

This role sits at the core of a modern cloud-native platform organization, responsible for enabling engineering teams to build, scale, and operate highly reliable distributed systems. You will play a key role in designing and evolving a global Kubernetes-based infrastructure, with strong emphasis on service mesh architecture and multi-cluster connectivity. The position focuses on reducing operational complexity through automation, platform tooling, and self-service capabilities. You will work with cutting-edge technologies in the CNCF ecosystem, contributing to a highly scalable, secure, and cost-efficient cloud platform. Collaboration is central, as you will partner with multiple engineering teams to define standards, improve observability, and drive platform adoption. This is a high-impact role where your work directly influences developer productivity and system reliability at scale. The environment is fast-paced, modern, and deeply engineering-driven.

Accountabilities:

• Design, build, and evolve a global Kubernetes-based platform on AWS with a strong focus on scalability, security, and cost efficiency.
• Lead the architecture and implementation of a multi-cluster Istio Service Mesh, ensuring reliability, observability, and performance.
• Develop Kubernetes operators and automation tools to enable self-service infrastructure provisioning for engineering teams.
• Improve platform observability through metrics, tracing, logging, and cost-awareness initiatives using modern monitoring stacks.
• Define and promote engineering standards, RFCs, and best practices across platform and product teams.
• Support engineering teams in adopting platform tools and ensuring smooth integration into their workflows.
• Continuously identify opportunities to reduce operational overhead through automation and infrastructure abstraction.

Requirements:

• Strong experience with AWS cloud services and Kubernetes in production-grade environments.
• Proven expertise in Istio Service Mesh, including design and management of multi-cluster architectures.
• Deep knowledge of Kubernetes internals and ecosystem tools (operators, controllers, CRDs).
• Experience with Infrastructure as Code using Kubernetes-native approaches such as Crossplane or custom operators.
• Strong background in observability systems (metrics, logs, tracing, alerting).
• Proficiency in at least one programming language (Go, Python, or Ruby) for building platform tools.
• Experience in cloud-native environments with CI/CD, GitOps (e.g., ArgoCD, GitHub Actions), and automation practices.
• Strong analytical and problem-solving skills with a systems-thinking mindset.
• Excellent communication and collaboration skills in English and Portuguese.
• CNCF certifications (CKA, CKS, CKAD) are highly valued.

Benefits:

• Competitive compensation package aligned with senior-level platform engineering roles
• Flexible remote work model with home office support
• Health, dental, and life insurance coverage
• Wellbeing programs including fitness, mental health, and wellness subscriptions
• Paid time off, parental leave, and additional personal days
• Career development programs, certifications, and continuous learning support
• Exposure to global-scale Kubernetes and service mesh architectures
• Collaborative engineering culture focused on autonomy and impact.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1