HostPapa

Full-stack Engineer

• Architect and operate backend services driving complex billing logic and transaction processing
• Develop Python-based APIs and services, leveraging AI-assisted tools to accelerate delivery and quality
• Own features end-to-end, from initial design and technical scoping through implementation, testing, deployment, and ongoing production support, ensuring high quality, scalability, and maintainability
• Drive AI adoption across the platform by identifying opportunities to integrate AI into backend services and workflows, and developing AI-powered solutions that improve automation, efficiency, and developer productivity
• Develop and support single-page applications (SPAs) using Vue, contributing to frontend components that enable seamless interaction with backend services and APIs
• Collaborate within small, cross-functional engineering teams to deliver features iteratively, contributing to design discussions, code reviews, and shared ownership of system architecture and quality
• Work closely with Product Managers and other CloudBlue teams to translate business requirements into technical solutions, align on priorities, and ensure successful delivery of platform capabilities
• Partner with your Engineering Manager on growth and career development
• Support other tasks or projects as assigned to meet team and business needs

Senior Software Engineer, Billing Platform

Data Engineer

• Architect and design machine learning systems capable of processing millions of real-time data points, leveraging feature stores, real-time inference pipelines, and scalable model serving frameworks to ensure high performance and low latency
• Drive architectural decision-making for data and ML systems through RFC processes, ensuring solutions are scalable, statistically sound, and future-proof
• Contribute hands-on to data and ML challenges, including building data architectures and high-performance feature engineering pipelines
• Collaborate closely with DevOps teams to ensure ML infrastructure (Kubernetes, cloud platforms, GPU clusters) is optimized for training and inference workloads
• Define and evolve scalable data architectures that support advanced analytics, predictive modeling, and business growth
• Mentor and guide Senior Data Scientists and ML Engineers, fostering strong practices in statistical rigor, MLOps, and systems thinking
• Support other tasks or projects as assigned to meet team and business needs

Principal Data Architect

Manager

• Lead, mentor, and develop a team of email operations and deliverability specialists, managing priorities, performance, and ongoing team growth
• Oversee the administration, maintenance, and continuous improvement of email infrastructure, MTAs, authentication protocols (SPF, DKIM, DMARC), DNS configurations, filtering systems, and overall platform reliability
• Monitor platform health, deliverability metrics, sender reputation, and inbox placement, proactively troubleshooting complex mail delivery and infrastructure issues
• Act as the primary point of contact for customer and internal mail-related escalations, coordinating cross-functionally with Support, Engineering, Security, and Account Management teams to drive timely resolution and root cause analysis
• Lead incident response efforts related to platform outages or degraded delivery events while maintaining clear escalation processes, SLAs, and communication standards
• Ensure compliance with applicable email-related regulations and best practices, including CAN-SPAM, CASL, GDPR, anti-spam protections, and acceptable email usage policies
• Provide operational reporting and strategic recommendations to the Director of Mail Infrastructure while identifying opportunities to improve tooling, automation, scalability, and operational efficiency
• Stay current on industry trends, emerging threats, and evolving best practices related to email infrastructure, security, and deliverability
• Support other tasks or projects as assigned to meet team and business needs

Email Manager

Senior Software Engineer, Intelligent Systems

DevOps Engineer

• Define and implement SLIs, SLOs, and error budgets for critical CloudBlue services to ensure reliability and performance
• Influence system architecture with a strong focus on reliability, scalability, and operability, designing systems for fault tolerance, graceful degradation, and self-healing
• Reduce operational toil by identifying opportunities for automation and process improvement
• Design and operate CloudBlue’s observability stack across metrics, logs, and traces using tools such as Datadog, Grafana, and Elastic Stack
• Develop actionable alerting strategies and dashboards that provide clear insight into platform and business health
• Design and maintain high-availability architectures, implementing redundancy, failover, and disaster recovery strategies across regions and availability zones
• Conduct capacity planning, load testing, and performance optimization to ensure platform stability and scalability
• Act as a senior responder during production incidents, leading incident coordination, communication, and service restoration
• Own blameless postmortems and drive improvements that reduce incident frequency, MTTR, and customer impact
• Improve reliability of Kubernetes-based platforms through health checks, autoscaling strategies, rollout safety, and resilience testing
• Partner with engineering and DevOps teams to improve deployment safety, rollback strategies, and platform reliability
• Maintain runbooks and operational documentation, and promote SRE best practices across engineering teams
• Support other tasks or projects as assigned to meet team and business needs

Site Reliability Engineer

• Design and evolve hyper-scale systems capable of handling millions of transactions per second using advanced sharding, event-driven architectures, and high-performance caching strategies
• Lead architectural decision-making through RFC processes, ensuring scalability, reliability, and long-term maintainability
• Collaborate cross-functionally with engineering, SRE, and DevOps teams to align infrastructure with application needs
• Contribute hands-on by building proofs of concept (PoCs) for new technologies such as messaging systems or storage solutions
• Define system architecture for a microservices-based, cloud-native SaaS platform integrating APIs, relational and non-relational databases, and AI-driven workflows
• Mentor and guide senior engineers, fostering strong systems thinking, design excellence, and technical leadership across teams
• Drive innovation in AI-enabled architectures and support the evolution of intelligent, scalable platform capabilities
• Support other tasks or projects as assigned to meet team and business needs

Principal Software Architect

• Influence product direction by challenging assumptions and advocating for user-first decisions
• Design scalable architectures and break them into actionable components with clear rationale
• Build full-stack apps using Next.js, TypeScript, shadcn/ui, Supabase/Postgres, and edge functions
• Develop AI-driven workflows that accelerate development while ensuring correctness
• Lead code reviews, mentor peers, and uphold high engineering standards
• Monitor and optimize performance, security, and cost in production environments
• Collaborate async with global teams across product, design, and operations
• Support other tasks or projects as assigned to meet team and business needs