Descrição do trabalho
As our Senior DevOps & Infrastructure Engineer, you’ll play a critical role in scaling and securing the systems that power the world’s first Connected Swim Training Platform. You’ll design and operate the cloud infrastructure that keeps thousands of athletes connected in real time—delivering data, insights, and performance feedback with minimal latency and maximum reliability.
This is a hands-on role for a builder who thrives in high-growth, fast-moving environments. You’ll work across AWS, CI/CD, and automation to ensure our backend, mobile, and gameplay systems run smoothly, securely, and efficiently at scale.
We’re looking for someone who can blend strong DevOps engineering with backend awareness: someone who understands how infrastructure choices affect data consistency, user experience, and system performance. You’ll collaborate closely with full-stack and gameplay engineers in Lisbon, shaping our technical foundation as we grow globally.
If you love solving complex scaling challenges, automating everything possible, and building infrastructure that just works, you’ll fit right in.
- Key Responsibilities
- Architect, implement, and maintain AWS infrastructure (ECS/Fargate, EC2, Lambda, CloudFront, Terraform, CloudFormation) to deliver scalable, high-performance systems.
- Build, optimize, and maintain CI/CD pipelines for web, backend, and mobile applications (React Native, Node.js), ensuring seamless releases and rapid iteration.
- Implement and manage Cloudflare, CloudFront, and S3 Origin configurations to enable global distribution, caching, and low-latency asset delivery.
- Design for scalability, reliability, and uptime, applying redundancy, auto-scaling, and failover strategies.
- Collaborate with backend engineers to optimize databases (PostgreSQL, DynamoDB, MySQL), ensuring data integrity, consistency, and high throughput.
- Enhance security and compliance through encryption, IAM policies, access control, and adherence to GDPR, CCPA, and SSDL (Secure Software Development Lifecycle) principles.
- Integrate monitoring, logging, and alerting systems (Datadog, CloudWatch, Grafana) to maintain full observability and proactive detection.
- Use AI-assisted tools (Claude, Copilot, Cody) and automation platforms (n8n, Zapier, Make) to streamline workflows and accelerate problem-solving.
- Continuously evaluate cost efficiency, optimizing AWS resource allocation for sustainable scaling.
- Ensure interoperability with external systems by adhering to open standards, managing API rate limits, and optimizing bandwidth usage.
- Support the development and release of mobile apps, ensuring build pipelines are stable, performant, and secure.
- Collaborate closely with cross-functional teams in Lisbon (engineering, design, product) to deliver reliable, low-latency experiences to athletes worldwide.