infrastructure
Posted 6 hours agoSenior DevOps Engineer
at saas.group
Remote
Responsibilities
- Build and maintain a platform roadmap based on your findings, prioritising the work that matters most
- Support the consolidation of two infrastructure stacks into a unified platform, helping shape how the migration happens
- Own the platform roadmap: identify what needs to be fixed, what needs to be built, and drive it forward. This is not a ticket-following role
- Lead cost management efforts across our infrastructure, including proxy costs which are among our highest expenses.
- Identify optimisation opportunities and implement them without compromising performance or security
- Ensure the reliability, scalability and performance of our infrastructure through robust monitoring, alerting and disaster recovery strategies
- Strengthen security measures to protect against continuous threats and attacks
- Lead the consolidation of our two infrastructure stacks into a unified platform, ensuring minimal disruption throughout
- Collaborate closely with development teams, with potential involvement in AI projects Our tech stack
Requirements
- ScraperAPI is an enterprise-scale web scraping solution, trusted by businesses across a wide range of industries to extract crucial data at scale.
- Help the engineering team increase its maturity around AI usage and standardise development environment tooling and processes
- We run on DigitalOcean and Hetzner, serve our applications with Kubernetes, and work with a range of databases including PostgreSQL, Redis, ClickHouse and MongoDB.
- Familiarity with this stack or similar environments is a plus.
- experience at scale, with a track record of driving infrastructure improvements. Not just maintaining what's there, but identifying and leading change
- Strong Kubernetes expertise and
- experience with containerisation and orchestration for large-scale deployments
- Infrastructure as Code proficiency (Terraform) and solid
- experience setting up and maintaining CI/CD pipelines •
- Experience with monitoring and observability tools (Datadog, New Relic, ELK, Prometheus or similar) and sound judgment on what "good" looks like