We are redirecting you to the source. If you are not redirected in 3 seconds, please click here.

Engineering Manager - Runtime Team (India or US) at Jobgether. This position is posted by Jobgether on behalf of Nexla. We are currently looking for an Engineering Manager – Runtime Team in United States or India.. This is an exceptional opportunity to lead the development of large-scale distributed systems that power real-time data integration and AI infrastructure. In this role, you’ll manage a team of senior engineers building execution engines and stream processing systems that operate with sub-second latency and enterprise-grade reliability. You’ll shape technical strategy, implement best-in-class DevOps practices, and drive velocity without compromising quality. This position is ideal for a hands-on leader passionate about distributed computing, team mentorship, and systems built to scale globally.. . Accountabilities:. . Lead the engineering team responsible for building distributed runtime systems that process billions of data events daily.. . Collaborate with senior engineers to architect fault-tolerant, scalable stream processing systems using technologies like Kafka, Ray, and custom execution engines.. . Define technical standards and drive decisions related to real-time pipelines, cloud scalability, and performance optimization.. . Mentor a team of 8–12 Senior and Principal Engineers, overseeing hiring, development plans, and performance reviews.. . Build a high-velocity engineering culture by implementing agile processes, CI/CD pipelines, and robust monitoring practices.. . Partner with cross-functional teams including Product, AI, DevOps, and Customer Engineering to align engineering outcomes with business goals.. . Oversee system health, capacity planning, cost control, and ensure uptime exceeds enterprise SLAs.. . Lead incident response, post-mortems, and continuous improvement efforts to maintain operational excellence.. . . 5+ years managing high-performing engineering teams in distributed systems or data infrastructure environments.. . Experience leading Senior and Principal Engineers with a proven ability to scale teams and systems in high-growth tech companies.. . Deep technical background with 5+ years in hands-on distributed systems, stream processing, or large-scale data platforms.. . Expertise in the Apache Kafka ecosystem, real-time event streaming, and distributed computing tools like Ray, Spark, or Flink.. . Strong knowledge of cloud platforms (AWS, GCP, or Azure), Kubernetes, Docker, and modern DevOps toolchains.. . Solid grasp of system architecture concepts such as fault tolerance, replication, consensus, and consistency models.. . Experience deploying mission-critical systems at scale with high throughput, low latency, and 99.9%+ uptime.. . Bonus: Familiarity with enterprise SaaS, AI/ML infrastructure, performance engineering, and regulatory compliance (GDPR, CCPA).. . Company Location: United States.