What we're doing isn't easy. But nothing worth doing ever is.

We envision a future powered by robots that work seamlessly with human teams. We build the artificial intelligence that enables service robots to collaborate with people and adapt to dynamic human environments. Join our mission-driven, venture-backed team as we build out our customer-facing operations arm.

The Diligent Software Engineer - Backend works together with engineering teams, IT, and Platform to address unique business challenges through comprehensive solutions while taking into account monitoring and observability, reliability, and maintainability. In this role you will focus on building brand new backend architecture and data processing systems. The engineer will work with a small, highly focused, and collaborative team to design tools and systems to enhance our data processing capabilities. You will participate in On-Call rotation to maintain platform SLAs.

Responsibilities

• Build backend integrations with cloud provider's managed databases and infrastructure (AWS and GCP)
• Work with the front end team to develop and integrate user-facing applications
• Build reusable code and libraries for future use
• Optimize for maximum speed and scalability
• Implement security and data protection
• Design and implement data storage solution
• Occasional off-hours, on-call work required

Qualifications

• 5 years of combined experience in Back End Software Engineering roles in a SaaS environment
• Bachelor’s degree in Computer Science, related field, or equivalent experience
• Experience soliciting systems requirements, designing, and implementing new components leveraging infrastructure or SaaS services
• Experience working with distributed, fault tolerant systems
• Experience creating database schemas that represent and support business processes
• Experience implementing user authentication and authorization between multiple systems, servers, and environments
• Experience with the integration of multiple data sources and databases into one system
• Experience with running a production environment in one or more Infrastructure as a Service cloud providers (AWS or Google Cloud)
• Experience with modern datastores at small to medium scale (Firestore, Redshift, Postgres, Mongo)
• Experience with distributed queues such as Kafka, MosquittoMQ.
• Experience with converting monolithic applications to microservices and service discovery technology
• Proficient understanding of code versioning tools, such as Git
• Proficient understanding of OWASP security principles
• Understanding of “session management” in a distributed server environment
• Solid Linux skills and proficiency in at least one high-level language (i.e. Python, TypeScript)
• Experience working in an agile methodology development lifecycle