Lead Backend Engineer

EAD, High Throughput, Consulting, Artificial Intelligence (AI), Computer Science, Software Development, Distributed Computing, Cloud Computing, High Tech Industry, Engineering, Lead Backend Engineer - RemoteBright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.Job Title: Lead Backend EngineerLocation: 100% Remote (U.S.)Position Type: Full-time, Direct W2Salary Range: $750,000-$95,000 AnnuallyExperience Required: 6+ yearsSponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.Job SummaryWe are seeking a Lead Backend Engineer with deep expertise in distributed systems to design, build, and operate large-scale, high-throughput backend services that power mission-critical workloads. In this role you will architect the core platforms that other engineering teams build on, focusing on scalability, reliability, performance, and clean engineering practices. The ideal candidate will combine strong fundamentals in computer science with practical, battle-tested experience operating distributed systems at scale, and will be comfortable navigating the trade-offs between consistency, availability, and latency.Required Qualifications

• Bachelor’s or Master’s degree in Computer Science or a related discipline.
• Six or more years of professional backend engineering experience, with significant time on distributed systems.
• Strong programming skills in Java, Go, Scala, or similar.
• Deep understanding of distributed systems concepts, including consensus, replication, and CAP trade-offs.
• Hands-on experience with high-throughput message systems such as Kafka.
• Experience operating systems at scale, including capacity planning and performance tuning.
• Strong SQL skills and experience with both relational and NoSQL data stores.
• Hands-on experience with major cloud platforms (AWS, Azure, or GCP).
• Strong debugging and root-cause analysis skills.
• Excellent communication, documentation, and mentorship skills., * Experience leading complex technical initiatives across multiple teams.
• Hands-on experience with Kubernetes-based platforms in production.
• Exposure to service-mesh technologies (Istio, Linkerd).
• Familiarity with chaos engineering practices and tools.
• Open-source contributions to relevant distributed systems projects.