Senior/Staff Platform Engineer

Jobgether SRL; Brasil; Remote; BRL 420,000 - 720,000; Full time

Benefits offered by this job

Fully remote

Autonomy

Challenging projects

Job summary

Jobgether SRL is seeking a Senior/Staff Platform Engineer based in Brazil to build, operate, and evolve large-scale production infrastructure with a strong emphasis on Kubernetes and reliability.

You will own difficult initiatives from design through production, work with stakeholders, and lead incident resolution while driving engineering practices and automation to improve observability and resilience.

Qualifications

• 10+ years in platform/SRE roles preferred for Staff-level candidates.
• Proven experience building production Kubernetes platforms.
• Production coding in Go/Python/Java required.
• Strong incident response and ownership of on-call.
• Experience with infrastructure-as-code and cloud platforms.

Responsibilities

• Design, build, operate, and improve production Kubernetes platforms with reliability focus.
• Troubleshoot Kubernetes and infra issues across multiple layers, including networking and CNI.
• Develop tooling to improve platform reliability, deployment, and developer experience.
• Own incident response, root-cause analysis, and durable remediation.
• Define SLOs/SLIs and observability strategies using metrics, logs, and traces.
• Build and maintain IaC using Terraform and related tooling.

Skills

Kubernetes

Go

Python

Linux

Incident response

Cloud platforms

Education

Bachelor's in CS/Engineering

Tools

Terraform

Ansible

CI/CD tooling

Docker

Job description

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

The Senior/Staff Platform Engineer will build, operate, and evolve large-scale production infrastructure with a strong focus on Kubernetes and reliability.

This hands-on role spans cloud infrastructure, Linux, networking, observability, CI/CD, automation, and production operations.

You will diagnose complex infrastructure challenges across multiple technical layers and build tooling that improves reliability, scalability, and developer experience.

The position offers significant autonomy, with ownership of ambiguous initiatives from initial design through implementation and production operation.

You will work directly with technical stakeholders, contribute to architecture and reliability decisions, and take a leading role in critical incident resolution.

Your impact will extend beyond day-to-day operations as you establish stronger engineering practices, automation, observability, and operational resilience.

This is an ideal opportunity for a highly experienced engineer who combines deep systems expertise with strong technical judgment and communication skills.

Accountabilities

• Design, build, operate, and continuously improve production Kubernetes platforms, owning cluster architecture, networking, workload isolation, resource management, security, upgrades, scaling, and reliability.
• Troubleshoot Kubernetes and infrastructure issues beyond the application layer, including CNI and networking problems, scheduling, node behavior, resource constraints, controllers, and cluster-level failures.
• Operate highly available infrastructure across cloud, hybrid, virtualized, and/or bare-metal environments, diagnosing complex issues across Kubernetes, containers, Linux, networking, and underlying infrastructure.
• Develop and maintain production tooling and automation using Go, Python, or Java to improve platform operations, deployment, troubleshooting, reliability, and developer experience.
• Build internal services, APIs, integrations, and operational tools where needed, while applying sound software engineering practices such as testing, code review, maintainability, and documentation.
• Own the reliability and operational health of critical production infrastructure, leading or significantly contributing to incident response, root-cause analysis, durable remediation, and disaster recovery initiatives.
• Define and improve SLOs, SLIs, alerting, and operational processes, using logs, metrics, traces, profiling tools, and system-level diagnostics to improve availability, performance, capacity, resilience, and recovery times.
• Build and maintain infrastructure as code using Terraform or equivalent technologies, creating reusable patterns and improving automation as the platform evolves.
• Develop and improve CI/CD and deployment workflows while balancing delivery speed with reliability, security, scalability, and operational requirements.
• Participate in cloud and infrastructure migrations, including dependency analysis, networking, cutover planning, rollback strategies, and production validation.
• Build and enhance monitoring, dashboards, logging, distributed tracing, and alerting to improve incident detection, diagnosis, and recovery.
• Work directly with customers, engineers, and technical stakeholders to understand requirements, investigate issues, communicate trade-offs, and drive effective technical solutions.
• Own complex infrastructure initiatives from problem definition through design, implementation, and production operation, contributing to RFCs, architecture discussions, design reviews, and broader technical direction.
• Mentor engineers and help strengthen engineering and operational practices while operating independently in ambiguous situations and taking ownership when immediate direction is unavailable.

Requirements

• 10+ years of professional experience in Platform Engineering, Site Reliability Engineering, Infrastructure Engineering, DevOps, or related fields is preferred for Staff-level candidates, with significant hands-on experience operating complex production infrastructure and distributed systems.
• Demonstrated experience building and operating production Kubernetes platforms is required, rather than experience limited to deploying applications onto existing clusters.
• Production programming experience in Go, Python, or Java is required, with the ability to read, debug, maintain, and contribute to production codebases and automation.
• Strong experience with production reliability, incident response, troubleshooting, root-cause analysis, and operational ownership is essential.
• Demonstrated ability to independently own complex technical initiatives from ambiguous starting points through design, implementation, and production operation.
• A degree in Computer Science, Engineering, or a related field is preferred, although equivalent practical experience may be considered.
• Deep understanding of Kubernetes infrastructure, including cluster architecture, networking and CNI, NetworkPolicy, scheduling, resource management, nodes, security, RBAC, and cluster behavior.
• Strong Linux fundamentals and hands-on experience troubleshooting production systems, combined with a solid understanding of DNS, routing, load balancing, connectivity, and cloud/Kubernetes networking.
• Production experience with at least one major cloud platform, such as AWS, GCP, or Alicloud, along with infrastructure-as-code experience using Terraform or equivalent tooling.
• Experience with configuration management and automation technologies such as Ansible, Puppet, or similar platforms.
• Strong observability expertise using metrics, logs, traces, dashboards, and alerting platforms such as Prometheus, Grafana, OpenTelemetry, Datadog, or equivalent technologies.
• Experience with CI/CD infrastructure, Docker, container tooling, modern software delivery practices, high availability, capacity planning, disaster recovery, and production resilience.
• Experience planning and executing production cloud or infrastructure migrations, operating large-scale or multi-cluster Kubernetes environments, or working with hybrid, on-premises, virtualized, or bare-metal infrastructure is preferred.
• Additional experience with Kubernetes controllers or operators, advanced networking, service mesh, mTLS, workload identity, multi-cloud infrastructure, security hardening, IAM, compliance, capacity planning, performance engineering, or developer platform tooling is highly valued.
• Previous technical leadership, mentoring, Staff/Principal-level responsibilities, or experience working directly with external customers in consulting or service-delivery environments is preferred.
• Exceptional written and verbal technical communication skills are required, with the ability to explain architecture, risks, trade-offs, and technical decisions clearly to customers, engineers, and technical leadership.
• Strong analytical and problem-solving abilities, high ownership, sound technical judgment, and the ability to operate independently in ambiguous environments are essential.
• The ideal candidate can influence others without formal management authority and is comfortable taking the lead on complex technical problems without continuous oversight.
• This is a hands-on platform and reliability engineering position. Candidates should have personally built, operated, troubleshot, and improved production infrastructure rather than primarily consuming managed services or deploying applications onto Kubernetes.
• The role requires availability during core hours aligned with Pacific Time, from 8:00 AM to 5:00 PM PST, as well as participation in an on-call rotation approximately every four to five weeks.

Benefits

• Fully remote work arrangement within Canada.
• Opportunity to work on large-scale Kubernetes platforms and complex production infrastructure with significant technical ownership.
• High degree of autonomy to shape infrastructure architecture, reliability initiatives, automation, and operational practices.
• Exposure to cloud, hybrid, networking, observability, CI/CD, security, and distributed systems at scale.
• Opportunity to collaborate directly with experienced engineers, technical stakeholders, and customers on challenging infrastructure initiatives.
• Ability to influence technical direction, mentor other engineers, and contribute to architecture and engineering best practices.
• Remote-first environment designed to support distributed collaboration across North America and Latin America.
• Opportunity to work on technically challenging projects where reliability, scalability, automation, and operational excellence are core priorities.