System Engineer
at Hostinger
Vilnius; Kaunas, remote, full time, EUR 60,000+ / year, 5+ years
posted 31 Jul 2026
- KVM
- KumoMTA
- PostgreSQL
- Go
- DNS
- SPF
- Kafka
- DKIM
- Flink
- SpamAssassin
- Dovecot
- Cyrus
- GitHub Actions
- Terraform
- Docker
- Exim
- MySQL
- Lua
- TCP/IP
- TLS
- AWS
- Python
- Rspamd
- Rust
- rDNS
- Proxmox
- GreenArrow
- Ceph
- ClickHouse
- Redis
- HTTP
- DMARC
- Postfix
- ARC
- PowerMTA
- Linux
- Valkey
- GCP
- Ansible
- ZoneMTA
- Redpanda
- Cloudflare
- RHCSA
- RHCE
- Memcached
- Kubernetes
About the role
Remote: yes Posted: 2026-07-31
JOIN THE TEAM BUILDING AN AI-FIRST COMPANY.
Hostinger serves more than 5.5 million clients across 150 countries, but we're still excited about what we're creating next.
AI is changing how we build products, support customers, work together, and solve problems. It helps us move faster, spend less time on repetitive work, and focus on bigger ideas.
If you want your work to influence both what we build and how we build it, we'd like to meet you.
Our culture: Guided by 10 company principles https://www.hostinger.com/principles
YOUR ROLE AT HOSTINGER
As System Engineer, you'll join one of the few places left where a single team owns the whole stack end to end - compute, storage, networking, and the services running on top of it. Email is what makes that infrastructure hard: it's stateful, latency-sensitive, adversarial, and it never stops. You'll join at a point where large parts of the platform are being modernized, so there's genuine architectural work ahead, not just maintenance of someone else's decisions. This isn't a role where you follow playbooks - you'll write them.
Curious to learn more? Connect with your team: Edgaras Lukoševičius, Engineering Manager, Email Hosting. https://www.linkedin.com/in/edgaras-lukosevicius/
What you would do
- Build and scale the infrastructure behind the service. Design and operate the systems that carry millions of messages a day — compute, networking, routing, and throughput — at a volume where a fraction of a percent is thousands of clients.
- Run storage at scale. Petabytes of customer data across a distributed storage fleet: capacity planning, performance tuning, backups, and data integrity.
- Automate everything you touch. Our infrastructure lives in code. If you did it manually twice, the third time should be a pull request.
- Engineer how we ship. Build the testing and deployment pipeline that lets a platform this large change safely — infrastructure tests, preflight checks, progressive rollouts. Confident releases are an engineering achievement, not an accident.
- Own monitoring and observability. Metrics, logs, SLOs, and alerting — build the systems that surface a problem while it's still small, so it's solved before anyone notices it.
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