💼 Full-time🗓 2026-06-24
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## About the role
This role is part of our ScraperAPI team, one of our growing brands at saas.group.
ScraperAPI is an enterprise-scale web scraping solution, trusted by businesses across a wide range of industries to extract crucial data at scale. From e-commerce, travel to real estate and market research, we support companies in turning the web into actionable insights. We're currently on an exciting growth journey, scaling rapidly as demand for reliable, high-performance web scraping and data keeps rising.
Profile Overview
We are seeking a talented Senior Platform Engineer to join our focused engineering team. We're building a product that handles billions of requests per month for businesses that depend on it. Web data is increasingly central to how companies make decisions, and our infrastructure is what makes accessing it seamless and reliable at scale. You won't be following someone else's roadmap, you'll be building it.
Your immediate impact in the first 3-6 months will be:
- Explore and assess the infrastructure architecture, collecting risks and opportunities that need to be addressed
- 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
- Help the engineering team increase its maturity around AI usage and standardise development environment tooling and processes
## Your responsibilities
- 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
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.
## What you bring to the table
- 5+ years of platform or DevOps engineering 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
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
- Passion for building scalable, reliable and secure systems
- Experience with cloud platforms and infrastructure management
- Familiarity with AI and machine learning concepts is a plus
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