DevOps and Backend Infrastructure Engineer

DevOps / Backend Infrastructure Engineer (Linux, Docker, Postgres/TimescaleDB, Go) Vienna, Austria / in office - Full-time - Mid-level to senior potential About Thalos Thalos is building the AI Performance Coach for people who train seriously. We combine training, nutrition, recovery, wearable data and product intelligence into a personalized performance system. We are still a small team, so we value infrastructure that is pragmatic, secure, observable, recoverable and documented - not oversized enterprise complexity. The role We are looking for a DevOps / Backend Infrastructure Engineer to help us operate and improve our production infrastructure. We run several Linux servers with Docker Compose, Go backend services, Postgres/TimescaleDB, rsync-based data sync and large volumes of wearable-device time-series data. Your mission is to make production reliable and boring: clean servers, safe deployments, tested backups, clear monitoring, controlled secrets, documented runbooks and calm debugging when something breaks. We need someone very attentive and careful - someone we can trust not to break production through rushed or undocumented changes. What you will own · Manage Linux servers in production: SSH access, users, permissions, firewalls, updates, logs, configs, backups and data folders. · Maintain Docker Compose setups for backend services, databases, workers and monitoring. · Improve the deployment flow from Git to server, including safe restart/update procedures, staging/production separation and rollback paths. · Operate Postgres and TimescaleDB in production: backups, tested restores, migrations, indexes, query performance, vacuum/analyze, disk usage, connection limits and storage growth. · Support high-volume time-series data flows from wearable devices, including retries, delayed uploads, duplicates, missing data, idempotency, retention and long-term storage costs. · Maintain rsync-based sync jobs where needed and clearly separate sync, backup, replication and archive concepts. · Organize environment files and secrets safely, prevent secrets in Git and manage production/staging/dev configuration separately. · Set up monitoring and alerts for servers, Docker containers, APIs, databases, queues, backups, disk growth and production errors. · Improve security basics: SSH keys, least-privilege users, firewall rules, exposed ports, database access, updated images and simple incident response procedures. · Improve CI/CD via GitHub Actions, GitLab CI or similar, including build/test checks, migrations, deployments and rollback readiness. · Support Go backend services enough to build, run, debug and profile APIs, workers, cron jobs, queues and migrations. · Write runbooks and documentation so the system does not depend on only one person. What we are looking for · Solid Linux server administration experience. · Strong Docker and Docker Compose experience. · Production Postgres experience, including backup and restore. · Basic networking, DNS, TLS/SSL, reverse proxies and firewall understanding. · Git and CI/CD experience. · Monitoring/logging setup experience. · Security fundamentals and a careful mindset around production systems. · Ability to debug production issues calmly and systematically. · Enough Go understanding to build, run and debug backend services. · Clear written documentation habits. Very useful extras · TimescaleDB experience, including hypertables, retention policies, compression and continuous aggregates. · Experience with time-series, IoT or wearable-device data. · Go backend performance profiling. · Ansible or Terraform. · Prometheus, Grafana, Loki and Alertmanager. · S3-compatible storage for backups. · Redis, NATS, RabbitMQ, Kafka or similar queue systems. · Experience moving from manual servers toward more automated infrastructure. What makes you successful here You are not a cowboy operator. You do not make random production changes and hope for the best. You prefer simple, reliable systems over impressive buzzword stacks. You document what you change, test restores before we need them, set alerts that matter and keep the infrastructure understandable for a fast-moving startup team. What we offer · High ownership of the infrastructure foundation of an ambitious AI performance company. · Direct collaboration with the founder team and backend/product team. · A pragmatic startup environment with fast decisions and visible impact. · The chance to shape production reliability, data infrastructure and deployment discipline from the ground up. · Full-time in-office setup in Vienna with direct collaboration, fast decisions and high trust. Compensation For this full-time role, the gross monthly salary is EUR 4,643, paid 14 times (EUR 65,000 gross annually). How to apply Apply with your CV or LinkedIn profile. GitHub, technical writing, runbooks, incident postmortems or architecture examples are welcome, as long as they are sanitized and do not expose confidential information. Optional but valuable: include a short note on a production system you helped make more reliable - what was broken, what you changed and how you verified that it worked.