DevOps инженер

The company operates a large-scale, high-traffic scraping platform that processes billions of requests globally. It focuses on maintaining infrastructure reliability, security, and performance for complex distributed systems.

• Own and drive the end-to-end platform roadmap, identifying critical improvements, infrastructure gaps, and long-term architectural priorities;
• Lead the consolidation of multiple infrastructure stacks into a unified, scalable, and reliable platform;
• Design and optimize cloud infrastructure for performance, scalability, security, and cost efficiency;
• Implement robust monitoring, alerting, logging, and disaster recovery strategies;
• Manage infrastructure cost optimization, including proxy and compute expenses;
• Strengthen platform security posture by addressing vulnerabilities and defending against threats;
• Collaborate with engineering teams on system design decisions and development workflows;
• Mentor engineers and elevate platform engineering maturity, including tooling and best practices.

• 5+ Years of experience in DevOps, Platform Engineering, or Infrastructure Engineering at scale;
• Strong hands-on expertise with Kubernetes, container orchestration, and large-scale distributed systems;
• Proven experience with Infrastructure as Code tools such as Terraform and building CI/CD pipelines;
• Strong knowledge of cloud and hosting environments, including DigitalOcean, Hetzner, or similar providers;
• Expertise in monitoring and observability tools like Datadog, New Relic, Prometheus, or ELK stack;
• Demonstrated experience optimizing infrastructure costs and system performance in production;
• Strong communication skills for influencing stakeholders in an async-first environment;
• Proven hands-on use of AI tools to deliver engineering or operational improvements;
• Experience mentoring or leading other engineers in a technical capacity;
• Nice to have: Experience with databases and data systems such as PostgreSQL, Redis, ClickHouse, and MongoDB.

• Fully remote position with flexible working hours;
• High autonomy and ownership in a trust-based engineering culture;
• Opportunity to lead infrastructure at massive scale;
• Minimal bureaucracy with a focus on efficiency;
• Access to a wider SaaS engineering network;
• Flexible time off.