Platform Support Engineer

Critical Manufacturing

. Support the deployment and operation of mission-critical MES installations in high-tech manufacturing environments .

Posted 9/29/2026full-timeMaia • PortugalMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in deploying and managing MES environments in high-tech manufacturing, with a strong focus on containerization, system health monitoring, and compliance. Proficient in troubleshooting and optimizing performance while ensuring secure and efficient operations.

Highest-signal resume keywords

DockerKubernetesLinuxVMwareProblem-Solving

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Containerized DeploymentsPod TroubleshootingVM ProvisioningSQL ServerChange Management

Soft Skills

Attention to DetailTime ManagementCommunicationInitiativeAccountability

Tools & Technologies

OpenShiftKafkaClickHousePrometheusGrafana

Certifications & Qualifications

ITIL Framework

Industry Keywords

ManufacturingMESOperational ReportingSecure Network ArchitecturesDevOps

Tech Stack

Tools & technologies

DockerGrafanaKafkaKubernetesLinuxOpenShiftPrometheusSQLVMware

About the role

Key responsibilities & impact

Support the deployment and operation of mission-critical MES installations in high-tech manufacturing environments
Execute remote installations of MES environments and applications
Validate pre-conditions, dependencies, and compatibility before deployment
Ensure smooth, structured, and auditable installation flows
Control and grant access according to governance policies
Enforce environmental limits, quotas, and expiration rules
Ensure secure and compliant access workflows across teams and customers
Monitor CPU, memory, storage, and cluster health
Identify scaling needs and perform capacity adjustments
Guarantee stable, performant, and cost-efficient MES environments
Execute deployments in DMZ or restricted network zones
Validate firewall, routing, reverse proxy, and TLS configurations
Ensure ongoing availability, compliance, and secure connectivity
Investigate issues using logs, containers, pods, events, and system traces
Collaborate with engineering, SRE, and infrastructure teams
Resolve installation and post-installation issues using root-cause analysis
Advise partners and customers on infrastructure, virtualization, container platforms, and network setup best practices
Clarify responsibilities between internal teams, integrators, and customers
Document lessons learned and corrective/preventive actions
Contribute to knowledge bases, troubleshooting playbooks, and best practices
Help improve automation, observability, and deployment tooling

Requirements

What you’ll need

Strong experience with Docker and Kubernetes/OpenShift: containerized deployments, pod troubleshooting, logs, events, networking, health checks
Solid background in Linux (networking, volumes, system services, journaling)
Hands-on experience with VMware or Hyper-V (VM provisioning, configuration, snapshots)
Strong problem-solving and investigative skills, with a methodical, log-oriented approach
Ability to troubleshoot beyond standard procedures, going deep when needed
Strong organization, time-management, and prioritization skills
High attention to detail, ownership, and accountability
Excellent communication skills and ability to work cross-functionally
Initiative and a drive for continuous improvement and best practices adoption
Excellent written and spoken English communication skills
Experience with Kafka or ClickHouse in distributed deployments (not mandatory)
Familiarity with the Manufacturing / MES / industrial domain (not mandatory)
Experience with SQL Server, including backup/restore, high availability, and performance considerations (not mandatory)
Knowledge of the ITIL framework, particularly related to change, incident, and problem management (not mandatory)
Exposure to data platforms for operational reporting, analytics, dashboards, or log aggregation (not mandatory)
Experience working with reverse proxies, TLS certificates, and secure network architectures (not mandatory)
Understanding of DevOps-adjacent tools, such as CI/CD pipelines, monitoring and observability stacks (Prometheus, Grafana, ELK), or scripting for automation (PowerShell, Bash) (not mandatory)