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Backend Engineer (Remote - US) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a . Backend Engineer. in the . United States. .. We are seeking a talented Backend Engineer to join a high-performing integrations team responsible for moving massive volumes of data across a sophisticated SaaS platform. In this role, you will design, implement, and optimize backend systems and integration connectors that power real-time workflows for clients. You will collaborate closely with engineering, product, and cross-functional teams to ensure data pipelines are reliable, scalable, and efficient. The ideal candidate thrives in distributed systems environments, enjoys tackling technical challenges thoughtfully, and is committed to high-quality, maintainable code while continuously learning and adopting modern tools and best practices.. Accountabilities:. Design, implement, test, and maintain backend integration connectors to support trillions of data points across diverse systems.. Collaborate with cross-functional teams, including technical and non-technical stakeholders, to prioritize and deliver high-impact data solutions.. Monitor, optimize, and troubleshoot backend systems to ensure high reliability, performance, and scalability.. Participate in on-call rotations and other team responsibilities to maintain platform uptime and operational excellence.. Contribute to team knowledge-sharing, retrospectives, and process improvements, bringing creativity and energy to problem-solving.. Continuously enhance backend architecture, incorporating AI, automation, and best practices to improve efficiency and maintainability.. 3–5+ years of professional experience as a backend engineer working on SaaS products.. Proficiency in at least one compiled or JIT language (Golang preferred; Kotlin, Java, Rust, C++ also considered).. Experience with messaging systems such as Kafka, SQS, Pub/Sub, or RabbitMQ.. Solid foundation in computer science fundamentals: data types, algorithms, and networking basics.. Comfortable working with Postgres-style SQL; experience with data warehouses (Redshift, BigQuery, Cloudberry) is a plus.. Familiarity with ETL flows and data pipeline orchestration (DAGs) is beneficial.. Command-line proficiency and ability to navigate UNIX-like environments effectively.. Strong communication skills, able to collaborate with both technical and non-technical colleagues.. Analytical, idealistic yet practical mindset, focusing on solutions that deliver the most impact.. Company Location: United States.