Cloud Engineer - Kubernetes (Home Office)

Ittconnect; Teletrabalho; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A global technology consulting leader is seeking a skilled Kubernetes Engineer to work remotely from Brazil. This role involves designing, operating, and securing Kubernetes platforms and collaborating across teams to ensure best practices in automation and compliance. Candidates should have a proven background of at least 5 years in Kubernetes engineering, excellent English communication skills, and experience with tools like Terraform and Prometheus. The opportunity provides a flexible working environment with a focus on innovative solutions.

Qualificações

• 5+ years of experience in Kubernetes engineering, platform engineering, or cloud-native infrastructure roles.
• Hands-on experience with Kubernetes distributions like RKE2, AKS, and GKE.
• Strong understanding of container orchestration and security practices.

Responsabilidades

• Design, build, and operate Kubernetes clusters both on-prem and cloud.
• Automate repetitive operational tasks and ensure compliance with security standards.
• Collaborate with cross-functional teams to deliver resilient platform services.

Conhecimentos

Kubernetes engineering

Infrastructure automation

Container orchestration

Collaboration across teams

DevOps tooling

Formação académica

Bachelor’s or Master’s degree in Computer Science or Engineering

Ferramentas

Terraform

Prometheus

Grafana

OpenLens

Descrição da oferta de emprego

Kubernetes Engineer

ITTConnect is seeking a Kubernetes Engineer to work remotely for one of our clients. This is a role with a global leader in consulting, digital transformation, technology and engineering services present in nearly 50 countries.

Job location

Remote, work anywhere from Brazil.

English language requirement

This job requires excellent English, written and spoken. Please submit a resume in English and be prepared for English language interviews throughout the process.

Overview

The Kubernetes Engineer plays a critical role in designing, building, operating, and securing our client's container platforms, with a focus on Kubernetes-based PaaS (Platform as a Service) environments. This role ensures high availability, performance, security, and lifecycle management of Kubernetes platforms across Lab, Non-Prod, and Production environments. The Kubernetes Engineer works cross‑functionally with cloud, cybersecurity, compute, network, and application teams to deliver resilient and automated platform services aligned with Product Management and CCOE strategies.

Key Responsibilities

Platform Engineering & Operations

• Design, build, and operate Kubernetes clusters (on‑prem and/or cloud) following standard reference architectures.
• Implement and maintain Kubernetes add‑ons, CSI storage drivers, CNI network plugins, and ingress controllers.
• Ensure high availability, scalability, and reliability of Kubernetes clusters and workloads.
• Perform lifecycle upgrades of Kubernetes, OS, infrastructure software (GKE, Rancher), and supporting components.
• Manage persistent storage solutions including migration to Dell CSI‑enabled PowerStore and Portworx.
• Manage hardware lifecycle work for Kubernetes‑backed compute environments.

Security, Compliance & Cybersecurity Alignment

• Implement and maintain vulnerability remediation workflows to achieve >90% SecureLens compliance.
• Enable PAM authentication across Kubernetes and supporting OS layers.
• Ensure clusters and workloads meet cybersecurity, data privacy, and lifecycle compliance requirements.
• Support audits and remediate non‑compliant configurations.
• Drive the transition from CentOS to supported and approved OS platforms.

Automation, Standardization & Continuous Improvement

• Automate repetitive operational tasks, cluster provisioning, workload deployment, configuration, and compliance enforcement.
• Contribute to product roadmaps, automation frameworks, and standard reference designs.
• Participate in EPIC initiatives to reduce complexity and increase efficiency.
• Assist with PPDM migrations for Kubernetes‑based backup workloads.
• Contribute to patch testing frameworks using canary/ring deployment models.

Platform 3 / CCOE Collaboration & Customer Engagement

• Partner with CCOE intake, design, and fulfillment teams to deliver frictionless onboarding.
• Ensure Kubernetes solutions align with lifecycle, security, and platform standards.
• Conduct workshops and training sessions to extend platform knowledge across Cox.
• Participate in customer feedback loops, roadshows, and product management routines.
• Provide timely support for Rancher migrations and eventual decommissioning.

AI & GPU Platform Support

• Support deployment of GPU‑enabled Kubernetes clusters.
• Implement automation for provisioning GPU workloads.
• Validate ServiceNow intake workflows for AI-native tenant designs.

Observability, Reporting & KPIs

• Enhance New Relic dashboards for Kubernetes reliability and health.
• Develop and publish right‑sizing audit reports for cluster optimization and cost efficiency.
• Track cluster capacity, growth, and licensing/tool usage.
• Participate in monthly operational reviews.

Requirements

• 5+ years of experience in Kubernetes engineering, platform engineering, or cloud‑native infrastructure roles.
• Hands‑on experience with some Kubernetes distributions (RKE2, AKS, EKS, GKE, VMware Tanzu, or upstream).
• Experience with Prometheus and Grafana.
• Experience with OpenLens and other K8s management tools.
• Strong understanding of container orchestration, container runtimes, registries, and image security.
• Expertise with infrastructure automation and configuration management (Terraform, Ansible, FluxCD/ArgoCD, Helm).
• Experience with Linux system administration and OS‑level troubleshooting.
• Understanding of networking concepts (CNI, load balancers, service mesh, DNS, ingress/egress).
• Experience with CSI persistent storage solutions and cluster storage migrations.
• Knowledge of DevOps tooling: CI/CD, GitOps, monitoring/observability, vulnerability scanning.
• Experience implementing Zero Trust and cybersecurity controls in production environments.
• Ability to collaborate across cross‑functional teams and communicate complex technical concepts.

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Kubernetes certifications (CKA, CKAD, CKS).
• Experience with GKE and enterprise virtualization platforms.
• Experience designing Kubernetes platforms for AI/GPU workloads.