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System Engineer (Cloud & AI)

Super Technologies
CompanySuper Technologies
CategoryUncategorised
LocationRomania
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted23 Jun 2026
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
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Description
We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.   We are looking for a skilled  System Engineer (Cloud & AI) to design, deploy and operate our cloud and on-prem infrastructure, keep production stable and automated. You'll work across multiple cloud providers, automate everything as code, and bring modern AI tooling into day-to-day operations. As a System Engineer at Super, you'll design, deploy, operate and continuously harden our cloud and on-prem infrastructure across multiple environments — keeping production stable, automated and scalable — while bringing modern AI tooling into the operations workflow (AI-assisted automation, supporting AI/ML workloads, and AI-augmented runbooks/self-service).     What the role involves Own reliability of our multi-environment platform across AWS, GCP, and on-prem virtualization . Build and operate infrastructure as code with Terraform across core domains: compute, storage, databases, IAM, DNS, certificates, and managed services (e.g. AWS : EC2/RDS/S3/CloudFront/ALB/Route 53/KMS/EKS/ECS; GCP : Compute Engine/Cloud SQL/Cloud Storage/Load Balancing/Cloud DNS/Cloud KMS/GKE). Improve cost, scalability, and performance; understand billing models and right-sizing levers across clouds. Operate and harden production systems (Linux + Windows): patching, lifecycle maintenance, fleet tooling/agents, and incident response (MTTR-focused). Run critical internet-facing foundations: email infrastructure and security posture ( SPF/DKIM/DMARC/ARC ), plus DNS and TLS/ACME certificate automation. Automate operations with scripts/playbooks ( Python/Bash/Go ) in a PR-based workflow; build self-service and reduce recurring toil (runbooks, DNS/cert changes, etc.). Improve observability and reliability (monitoring/alerting; Prometheus/Grafana/SNMP/exporters/agents) and collaborate cross-functionally on upgrades and scaling. Support security and internal tooling: remediate findings (SAST, headers, dependency issues), harden services, and help maintain internal infra web apps (Node/Go/PHP).     What we are looking for Demonstrated experience operating production infrastructure across cloud and virtualized/on-prem environments. Strong Linux systems administration skills, with proven ability to run, troubleshoot, and harden production services. Hands-on experience with Infrastructure as Code and configuration management (preferred: Terraform ), with an automation-first approach. Strong scripting skills (e.g. Python, Bash, Node, Go, PHP) to automate, integrate, and operationalize systems. Multi-cloud experience , ideally across AWS and GCP (compute, storage, databases, identity, DNS, and managed services). Experience with containers and orchestration (Docker + Kubernetes; EKS/GKE/ECS). A strong security mindset (least privilege, robust secret hygiene, and a focus on root-cause remediation). Strong problem-solving, ownership, and communication skills. Base in Zagreb, Žilina or Bucharest     How you work Apply an evidence-driven approach to troubleshooting: review primary signals (logs, metrics) before forming conclusions, and reproduce issues where appropriate. Demonstrate sound judgment by identifying root causes and avoiding unverified or short-term workarounds. Take a proactive approach to incident prevention; maintain composure and a solution-oriented mindset. Communicate clearly and document thoroughly, ensuring outcomes are captured in run books and shared back w
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