Senior Platform Engineer

Why we're hiring for this role:

As our product and engineering organization grows, the infrastructure behind it needs to scale with increasing complexity, traffic, and reliability expectations. We’re looking for a Senior Platform Engineer to help evolve the platform our engineering teams build and run on - from Kubernetes and cloud infrastructure to deployment, observability, data services, and distributed workloads.

This is not a role focused on operating existing infrastructure or executing predefined tasks. We’re looking for someone who understands the systems underneath the tooling, can make sound architectural decisions, and enjoys improving how engineers build, deploy, and operate software.

Key challenges you will work on every day:

• Design and evolve our cloud platform with scalability, reliability, security, and multi-region operation in mind
• Own and improve Kubernetes environments, including cluster architecture, networking, workloads, scaling, reliability, and operational patterns
• Improve the developer experience from local development through CI/CD to production
• Design and optimize network topology for connectivity, latency, throughput, and resilience
• Build and evolve observability that provides meaningful insights for engineering and operations rather than simply generating alerts
• Support and improve infrastructure around stateful and distributed systems
• Work closely with software engineers on infrastructure and architecture decisions instead of treating infrastructure as a separate operational layer
• Explore and adopt AI-powered engineering tools where they can meaningfully improve platform engineering and operational workflows
• Participate in a shared fair on-call rotation, with a focus on sustainable operations, low alert noise, automation, and continuous reliability improvements

Most of this applies to you:

• Strong hands-on experience designing and operating production cloud infrastructure; AWS experience is preferred, but strong fundamentals from another major cloud environment can transfer well
• Deep understanding of Kubernetes - not only deploying and operating workloads, but understanding the underlying concepts and mindset on running cloud-native applications
• Strong Linux fundamentals
• Strong understanding of networking, including private/public networking, DNS, load balancing, VPNs, firewalls, and cloud networking concepts
• Experience designing and maintaining infrastructure as code, preferably with Terraform
• Experience building and evolving software delivery platforms and CI/CD pipelines from pull request to production
• Solid scripting or software engineering skills, preferably in Python or Go
• Experience designing observability and monitoring for complex production systems
• Understanding of distributed systems and the trade-offs involved in building highly available and resilient services
• Hands-on experience using AI-powered development or infrastructure tooling as part of your everyday engineering workflow - maintaining and developing skills, plugins
• Ability to reason about infrastructure beyond a specific cloud provider - storage, compute, networking, containers, databases, and distributed workloads rather than relying primarily on vendor-specific tooling

Nice to have:

• Database administration experience, particularly with MySQL
• Experience with durable execution/workflow technologies such as Temporal or similar systems
• Experience with data-intensive platforms or previous exposure to data engineering
• Experience operating multi-region infrastructure
• Experience building internal developer platforms, self-service infrastructure, or platform abstractions used by multiple engineering teams

Requirements:

• 5+ years of relevant experience in Platform Engineering, Cloud Engineering, SRE, DevOps, or a closely related field
• Strong English and Hungarian communication skills
• Experience working in complex production environments and collaborating closely with software engineering teams
• Comfortable taking ownership of ambiguous infrastructure problems and designing solutions rather than only implementing predefined ones
• Experience working in a fast-moving product or startup environment is a strong advantage