Container Engineer
Pubblicato il 30-10-2026 - Jobgether in Italia
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Container Engineer based in Italy.
La descrizione completa del lavoro illustra tutte le competenze, l'esperienza pregressa e le qualifiche che i candidati dovrebbero possedere.
Join a globally distributed engineering team building and operating a high-performance container platform that powers modern, cloud-native applications at scale. In this role, you will help ensure the reliability, security, observability, and cost efficiency of multi-tenant Kubernetes infrastructure across multiple regions. You will combine software engineering, platform architecture, and Site Reliability Engineering (SRE) practices to build robust automation and improve operational resilience. Working closely with infrastructure specialists and product engineers, you will make reliable deployment practices easier to adopt and maintain. The position offers the opportunity to influence core platform architecture, solve complex infrastructure challenges, and improve the experience of engineering teams worldwide. It is an excellent fit for an experienced engineer who enjoys autonomy, open-source technologies, and building scalable systems in a fast-moving, asynchronous environment.
Accountabilities
-
- Platform reliability and operations: Define and maintain service-level indicators (SLIs), service-level objectives (SLOs), and error budgets for the container platform. Develop policies that connect reliability targets to platform changes and deployment decisions.
- Operational readiness and observability: Lead Operational Readiness Reviews (ORRs) for new capabilities and significant changes.
Establish meaningful uptime metrics and improve visibility through comprehensive metrics, logs, and distributed traces across platform components.
- Incident management and continuous improvement: Participate in the team's on-call rotation, respond to platform incidents, and drive issues through resolution and follow-up. Facilitate blameless postmortems, identify recurring failure patterns, and implement lasting improvements that reduce detection and recovery times.
- Platform software engineering: Build, maintain, and deploy production-grade automation, controllers, operators, internal tools, and platform APIs. Develop custom solutions when existing tools do not adequately address the underlying technical challenges.
- Deployment automation and release management: Design and improve platform CI/CD pipelines, rollout mechanisms, and release processes that enable safe, efficient, and predictable deployments.
- Security and operational automation: Implement security automation covering intrusion detection, automated remediation, and patch management. Identify repetitive operational tasks and eliminate toil through reliable automation.
- Testing and quality assurance: Develop and maintain automated testing suites and pipelines that validate platform releases before they reach production workloads.
- Architecture and ecosystem development:
Evaluate and evolve the container technology stack, including orchestration, runtimes, networking, workload isolation, and observability tools. Conduct failure-mode analysis, map dependencies, and design resilient architectures for multi-tenant environments.
- Infrastructure efficiency: Improve platform architecture to optimize infrastructure costs while maintaining appropriate standards for security, reliability, and performance across tenants.
- Engineering enablement: Help product teams adopt sustainable operational practices, including effective alerting, escalation procedures, runbook coverage, and reduced notification noise.
Requirements
-
- Professional experience: At least five years of experience in platform engineering, Kubernetes or container platform operations, Site Reliability Engineering (SRE), or production infrastructure, including operating production systems at scale and participating in on-call rotations.
- Deep technical expertise: Strong expertise in at least one of the following areas, ideally with experience across two:
-
- Container tooling and ecosystem: In-depth knowledge of Kubernetes, containerd, OCI/CRI standards, and the broader Cloud Native Computing Foundation (CNCF) ecosystem. Familiarity with technologies such as Argo CD, Argo Rollouts, Cilium, eBPF, Gateway API, Karpenter, KEDA, gVisor, or Kata Containers is valuable.
- Software engineering: Ability to write production-quality code in Go or a comparable systems programming language, build controllers and operators, and design platform APIs and custom automation solutions.
- Operational excellence and SRE: Strong understanding of SLOs, error budgets, operational KPIs, incident res