Lead engineering teams to design and deliver large-scale backend and distributed streaming systems. Drive architecture, mentor engineers, ensure high-throughput, low-latency production solutions, and establish engineering best practices to meet scalability, reliability, and performance goals.
This role is for one of the Weekday's clients
Salary range: Rs 15000000 - Rs 30000000 (ie INR 150-300 LPA)
Min Experience: 8 years
Location: United States
JobType: full-time
We are seeking an experienced Engineering Manager to lead the design and delivery of large-scale backend and distributed systems. This role combines deep technical expertise with people leadership, ensuring high-performance architecture, strong engineering standards, and successful execution of complex, real-time data platforms.
The ideal candidate will bring strong hands-on experience in distributed systems while mentoring engineers, driving technical direction, and delivering scalable, production-grade solutions.
RequirementsCore Requirements
- 8+ years of experience building backend or distributed systems
- Strong hands-on experience with Apache Flink
- Advanced programming expertise in Java
- Working experience with Rust in production environments
- Deep understanding of distributed systems, streaming architectures, and data pipelines
- Proven experience building high-throughput, low-latency systems
- Strong fundamentals in system design, concurrency, scalability, and performance optimization
- Prior experience in cybersecurity, threat detection, observability, or data security domains
- Experience processing high-volume event streams such as logs, telemetry, or network data
- Familiarity with Kafka, stateful stream processing, and real-time analytics
- Experience working in high-growth or early-stage startup environments
- Demonstrated track record of taking products from concept (0 → 1) to scale, or significantly optimizing existing systems
- Lead and mentor engineering teams while maintaining technical depth
- Drive architectural decisions and establish engineering best practices
- Ensure scalability, reliability, and performance across distributed systems
- Foster a culture of ownership, accountability, and continuous improvement
- Collaborate cross-functionally to align technical solutions with business objectives
- Java
- Apache Flink
- Rust
- Distributed Systems Architecture
- Streaming Data Platforms
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