Sr. Cloud Platform Engineer

5+ years of professional technical experience in software engineering, cloud operations, or a related function. 3+ years of professional experience implementing and maintaining infrastructure in a public cloud environment such as AWS (heavily preferred), Google Cloud Platform, or Azure Experience and demonstrated proficiency with Infrastructure as Code (Terraform preferred) Experience implementing and maintaining Kubernetes clusters (EKS preferred) Demonstrated proficiency with networking as it pertains to cloud infrastructure (VPCs, subnets, route tables, NACLs, security groups, peering connections, etc) Experience implementing and maintaining relational database systems/clusters (RDS or Aurora preferred) Experience with security systems such as Web Application Firewall, HIDS/FIM, intrusion detection systems, and vulnerability detection systems Experience developing and maintaining internal tooling consumed by others Experience with Linux container technologies, such as Docker, OCI, LXC and ability to administer, build and deploy images in an automated manner. Proficiency in at least two of the following programming or scripting languages: Ruby, Python, Java, Javascript (NodeJS), Bash Working understanding of relational database systems such as MySQL (preferred) and PostgreSQL Experience with Kafka is a plus (MSK preferred) Experience with generative and agentic AI in an infrastructure management and implementation capacity is a plus Experience working in a PCI DSS environment is a plus Bachelor's degree in Computer Engineering, Computer Science, or a related field (or equivalent experience). Demonstrated experience leveraging AI tools and technologies to improve workflows, enhance decision-making, or drive innovation.

Automate deployment, monitoring, and management for 100% AWS cloud based infrastructure Develop, implement and own developer focused internal tooling and automation as your product Share in new feature design as the cloud SME supporting container/k8s first designs Create and maintain automated Ci/CD pipelines that streamline the release process and ensure high-quality code is delivered rapidly and continuously in a safe and compliant manner Leverage agentic and generative AI and AI tooling in the development, management and enhancement of the Internal Developer and Production Platforms Collaborate with developers to identify pain points and bottlenecks in the development process and design and implement solutions that improve the developer experience and increase overall productivity Put together comprehensive onboarding programs and training resources to seamlessly integrate new developers into the organization Participate in an on-call rotation and provide emergency support occasionally outside of normally scheduled hours as needed Evolve and extend observability tools and systems to determine and resolve performance and usability issues