• Build scalable and efficient services using microservices architecture capable of handling large datasets and complex processing. • Integrate with payment platforms (e.g., Stripe or equivalent) to support Credit card payments HSA/FSA transactions, Payment history visibility and reconciliation • Ensure data quality, consistency, and security throughout the data integration process • Ensure high performance and reliability through scalable architecture and best practices. • Integrate with third-party services to expand capabilities. • Build Data pipelines to support data integration and transformation processes with tools including Python, DBT, Workato, Rivery, and Snowflake • Troubleshoot and resolve technical issues related to data pipelines and integration • Develop and implement data validation and monitoring strategies to ensure ongoing data integrity • Involve in scheduled operations to help audits and support the cross functional team. • Create and maintain technical documentation, including integration specifications, data flow diagrams, and data dictionaries • Contribute to the continuous improvement of data integration processes and methodologies • Other duties as assigned

• Design, implement, and maintain components and workloads responsible for provisioning and managing Kubernetes-based Aerospike clusters • Build and evolve workflows used to orchestrate long-running infrastructure and database lifecycle operations • Develop Kubernetes-native systems using controllers, operators, and CRDs • Own cloud infrastructure automation using Terraform, including VPCs, EKS clusters, IAM, storage, and networking • Design and maintain persistent storage lifecycles involving EBS volumes, local NVMe instance storage, and backups • Diagnose and resolve complex production issues spanning Kubernetes, cloud provider APIs, and distributed systems • Improve observability through metrics, logs, and alerts using Prometheus, OpenTelemetry, and Datadog • Collaborate across teams to evolve architecture, improve reliability, and prevent operational regressions

• Lead efforts in defining and implementing significant components of our new cloud architecture, collaborating with our most senior technologists • Deliver low-latency and highly scalable services • Partner closely with our desktop agent and AI teams • Drive continuous improvement in hiring, design reviews, post mortems, and growing the technical skills our team needs to excel.

• Implement and enhance scalable back-end features and APIs that support product growth and platform reliability • Refactor and evolve existing codebases and services to improve maintainability, performance, and long-term sustainability • Design scalable, performant, and maintainable services. Identify and advocate for architectural improvements and best practices • Write clean, testable code and participate in peer reviews that help raise the quality of the team’s output • Make thoughtful tradeoffs between speed, scale, and simplicity • Collaborate with a cross-functional team of engineers, designers, and product managers to define and ship new features • Strengthen your written communication through design docs, planning notes, and pull request descriptions — key to thriving in a remote-first environment • Develop confidence in owning small to medium-sized services, including monitoring, on-call participation, and driving incremental improvements • Meet regularly with global team members between 9-12 AM EST