Remote Software engineering Jobs · Kubernetes

• Design, develop, and maintain clean code, ensuring top-tier performance and reliability.
• Take full ownership of the software development lifecycle, ensuring seamless delivery and operation.
• Design, build, test, and deploy a highly scalable and resilient system architecture.

• Build the backbone of Underdog’s data ecosystem to power seamless communication across our services.
• Create robust, scalable microservices to serve real-time, high-volume data needs for our internal teams.
• Drive impactful technical initiatives from start to finish in a fast-moving, high-stakes environment.

As a Software Engineer on the SaaS Platform team, you will deliver on product and technical roadmaps. Focus on building and scaling the core Asset & SaaS Management services. You will contribute high-quality code, participate in design discussions, and mentor other engineers.

Act as the emissary of the architecture. Technical owner from design to resolution of tailored solutions to sophisticated problems on cloud platforms based on client requirements and other constraints. Influence and communicate long-term product vision, technical vision, development strategy and roadmap.

• Lead the design and deployment of advanced AI inference systems for high-profile clients.
• Translate complex business problems into robust, real-time AI architectures.
• Partner with technical teams and clients to deliver scalable, high-performance solutions on modern GPU and cloud infrastructure.

• Lead the Video and Ads Engineering teams, focusing on people management and project delivery.
• Collaborate with engineering leads to improve code quality, reliability, and user experience.
• Drive the professional development of direct reports, offering coaching and mentorship.

• Build and evolve Rasa’s core Conversational AI engine, leveraging LLMs.
• Lead architecture decisions and algorithm implementations.
• Collaborate with engineers to build Rasa Pro, enabling developers to build, deploy, and maintain complex AI assistants.

• Design, build, and ship features that improve developer experience and productivity.
• Contribute to technical decisions, balancing trade-offs between performance, scalability, and maintainability.
• Participate in customer research, discovery sessions, and feedback loops to inform product development.

• Provide technical leadership across full-stack development initiatives.
• Design, build, and optimize cloud-based applications using Azure Services.
• Lead frontend development using Angular, contributing to reusable components and UI patterns.

• Design, implement and maintain robust integrations between Censys Platform and third-party SOAR, SIEM, TIPs solutions.
• Develop and operate scalable, high-availability API connectors.
• Maintain and improve existing Censys open source APIs.