Software Engineer - Machine Learning (Remote)

About Us At Atolio, we are a fully remote, well-funded startup founded by experienced leaders from Splunk and PagerDuty. Our mission is to revolutionize how enterprises manage and interact with knowledge at work by leveraging advanced AI and machine learning systems, securely deployed in enterprise environments. We are committed to creating a flexible, inclusive, and supportive workplace that values diversity and empowers everyone to do their best work. About the Role We are seeking a skilled Connector Software Engineer to join our remote team. In this role, you will focus on designing, developing, and maintaining connectors that enable seamless data integration between Atolio and various external systems. Your work will directly enhance our platform’s ability to interact with APIs, databases, and third-party tools, ensuring smooth interoperability and scalability in enterprise environments. What You’ll Bring: • At least 3 years of experience designing, building, and maintaining software connectors or integration solutions for APIs, databases, and third-party platforms. • Strong ability to research systems and APIs and find creative solutions for data extraction from underdocumented APIs that push the boundaries of what’s possible. • Detail and test oriented approach to solutions, with a high priority on data and permission security. • A strong understanding of core computer science principles, including algorithms, data structures, distributed systems, and networking. • Expertise in working with APIs (REST, GraphQL, gRPC, etc) and transforming data formats like JSON, XML, and CSV for interoperability. • Proficient in the Go programming language. • Experience in data mapping, transformation, and schema design to ensure compatibility across systems. • Excellent communication and collaboration skills for working across remote teams and with external stakeholders. • Monitor connector performance, optimize for scalability, and update connectors to handle changes in external systems, ensuring long-term reliability. • Provide technical support for resolving integration-related issues in production environments and collaborate with internal teams to troubleshoot connectivity problems. • AWS as our cloud-first platform for deployment and infrastructure. • GitHub for code collaboration and version control. • Technologies include full-text search, ML, and NLP systems. If you're passionate about connecting systems and solving complex data challenges, we’d love to hear from you!