Senior DevOps Engineer

• Design, build and support automated provisioning, continuous deployment and telemetry systems that help our teammates work more effectively
• Help make decisions around infrastructure technology choices that impact developer workflow, security, scalability, reliability, and performance
• Contribute to the curation and prioritization of the team roadmap
• Embrace cross-team collaboration, debate, and execution, working closely with teammates in Application Engineering, Service Reliability Engineering, Data Science, Program Management, E-Commerce Engineering, and business orgs to solve problems and make sure our infrastructure evolves with our products

• Extensive knowledge of major Cloud platforms, specifically Amazon Web Services (AWS), and Google Cloud Platform (GCP), with demonstrable experience in migrating, deploying, and managing large-scale systems on these platforms
• Proficiency in Infrastructure as Code (IaC) using Terraform. Able to construct and manage virtualized infrastructure and enforce best practices for security, reliability, and maintainability
• Proven experience with Continuous Integration/Continuous Deployment (CI/CD) pipelines using GitHub Actions and Flux Kubernetes
• Comprehensive understanding and practical experience with GitHub for source control management and Artifactory for binary repository management
• Working knowledge of HashiCorp tools like Vault, Consul, and Nomad. Familiarity with securing, storing, and tightly controlling access to tokens, passwords, certificates, API keys, and other secrets in technology environments
• Proficient in containerization and orchestration with technologies like Docker, Rancher, Kubernetes, ECS, EKS, GCR, and ECR
• Demonstrable experience with managing and troubleshooting networks at scale, with a strong understanding of network protocols, subnetting, routing, and firewall rules
• Proficient with Atlassian products, specifically JIRA for project management and tracking, and Confluence for collaboration and project documentation
• Ability to work in Agile and DevOps environments, with a clear understanding of agile principles and methodologies
• Strong communication skills, both verbal and written, to effectively collaborate with team members and stakeholders
• Strong problem-solving skills and the ability to think critically and swiftly under pressure

Relevant industry certifications such as AWS Certified Solutions Architect, Google Professional Cloud Architect, or Certified Kubernetes Administrator (CKA) would be beneficial

• Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation
• Be part of a global team with equal opportunities for collaboration across continents and cultures
• Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards