Senior Platform Engineer

This is a fully remote position, open to applicants in Spain.

📋 Description

• Develop the software platform that supports Swiftly's transit data products.

• Upgrade cloud infrastructure and extend services into a second AWS region.

• Enhance the reliability of systems that process real-time transit data.

• Manage the foundation that allows engineers to efficiently and safely utilize AI.

• Lead the migration to Amazon EKS by implementing reusable Kubernetes deployment, autoscaling, networking, and reliability patterns.

• Create designs for multi-region resilience, failover, and data residency.

• Oversee and enhance shared cloud infrastructure while automating provisioning processes.

• Enable self-service observability through versioned dashboards, alerts, and reusable OpenTelemetry instrumentation.

• Construct and manage the AI platform layer utilizing managed model access, reusable tools, templates, and documentation.

• Strengthen CI/CD pipelines and transition workloads to a unified CI platform.

• Document platform-related decisions and ensure alignment between engineering, product, and go-to-market teams.

• Collaborate closely with product teams to tailor platform initiatives to their requirements.

• Take part in an on-call rotation for production systems to minimize repeat incidents.

• Assist in maintaining a 99.9% uptime SLA and ensuring reliable, accessible products.

⛳️ Requirements

• Proven experience in building and managing cloud infrastructure on a leading cloud platform; AWS is preferred.

• Practical experience with Kubernetes or other container orchestration technologies.

• Familiarity with infrastructure-as-code tools like Terraform or Ansible.

• Experience in constructing and maintaining CI/CD pipelines, including transitioning workloads between CI platforms.

• Background in designing or operating multi-region deployments, focusing on failover, data residency, and replicable provisioning.

• Hands-on experience in developing AI tools that are utilized by other engineers.

• Capability to write production-level code or scripts in languages such as Python, Java, JavaScript, Go, or similar.

• Understanding of secure cloud networking principles, including VPCs, subnets, routing, load balancers, security groups, and IAM.

• Familiarity with observability practices and tools such as Grafana and OpenTelemetry.

• Strong written communication skills with the ability to document platform decisions and foster cross-functional alignment.

• Comfort in troubleshooting production systems and participating in on-call duties.

• A collaborative and pragmatic approach to making technical decisions.

• Interest in creating platforms that empower engineers to work more efficiently and safely.

• Experience with security scanning, intrusion detection, policy-as-code, or other DevSecOps tools is a plus.

• Familiarity with managed API gateways such as Kong is an added advantage.

• Experience with PostgreSQL, TimescaleDB, or other database systems is a plus.

• Background in building or operating data pipelines is beneficial.

• Experience in evaluating LLM output quality or assessing the impact of AI tools on developer productivity is a plus.

🏝️ Benefits

• Stock options.

• Comprehensive benefits package.

• 401(k)/RRSP matching.

• Opportunity to make a significant impact.

• Focus on professional development.

• Commitment to holistic wellness.

• Additional perks.

• In-person company or team offsites 1–2 times a year.

• Fully distributed work environment.