We are looking for a Backend Team Lead to manage and grow a team of backend engineers in our Alerting group. The Alerting backend powers real-time, streaming-based detection at massive scale, processing millions of events per second with millisecond latency to catch issues as they happen. Built with a distributed, event-driven architecture, it supports complex pattern evaluation, dynamic enrichment, and fault-tolerant delivery for mission-critical observability.
What Youll Do:
Lead and mentor a team of backend engineers working on mission-critical alerting infrastructure.
Be accountable for the teams execution, code quality, and technical innovation.
Guide the teams technical direction, architecture, and system design for distributed stream processing.
Collaborate closely with Product Managers and Engineering stakeholders to define scope, align priorities, and ensure timely delivery.
Manage engineering trade-offs, risks, and technical debt to maintain product and team velocity.
Drive clear prioritization of work across technical improvements, feature development, and production maintenance.
Support career development through regular feedback, goal setting, and performance reviews.
Foster a culture of ownership, excellence, and continuous learning.
Requirements: Requirements:
3+ years of experience as a team leader or engineering manager.
7+ years of backend development experience.
2+ years working with JVM based languages (Java, Scala, Kotline, etc.)
Experience in developing and operating distributed systems in production.
Proven experience designing highly reliable, scalable systems.
Hands-on experience with streaming/data processing technologies (Kafka, Kafka-Streams, Flink, Akka Streams).
Experience managing risks, timelines, and delivery expectations across multiple priorities.
Excellent communication skills and a strong sense of ownership and accountability.
Experience with monitoring and observability tools and practices.
B.Sc. in Computer Science or equivalent field.
Advantage:
Experience writing production code in Scala.
Familiarity with gRPC and Protobuf.
Experience tuning RocksDB or similar stateful stream-processing storage engines.
Prior experience working in a SaaS environment with observability stacks (metrics, logging, etc.).
This position is open to all candidates.