Lead Software Engineer

About this role

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Skills you'll use

What you'll do

• Define and drive the architectural roadmap for our core observability ingestion pipelines, ensuring high availability, resilience, and operational excellence.
• Lead the design and development of highly concurrent, distributed systems using advanced Java, Kafka, and cloud-native technologies.
• Act as the principal technical expert, mentoring a team of engineers and establishing rigorous standards for code quality, testing, and performance optimization.
• Architect multi-cloud infrastructure solutions, optimizing primarily for AWS while leveraging Azure for cross-cloud compatibility and routing.
• Proactively identify and eliminate systemic bottlenecks through JVM tuning, advanced concurrency management, and efficient data structure design.
• Collaborate with cross-functional leadership to translate complex business requirements into highly scalable technical strategies.
• This role requires:
• Experience: 8+ years in software engineering, with a strong focus on designing and building large-scale, highly concurrent distributed systems.
• Advanced Java Engineering: Expert-level proficiency in Java, including deep knowledge of JVM tuning, garbage collection optimization, concurrency, and multithreading under extreme load.
• Distributed Streaming: Mastery of Apache Kafka (or AWS MSK), including deep understanding of partition strategies, consumer group rebalancing, and high-throughput tuning.

Who can apply

• Distributed Streaming: Mastery of Apache Kafka (or AWS MSK), including deep understanding of partition strategies, consumer group rebalancing, and high-throughput tuning.
• Cloud Architecture: Extensive hands-on experience with AWS compute and data services (EKS, S3) and strong architectural knowledge of Kubernetes and Docker.
• System Design: Exceptional problem-solving skills with a strong foundation in data structures, algorithms, and resilient microservices design.
• Technical Leadership: Proven track record of defining technical vision, mentoring engineers, and successfully leading the delivery of mission-critical systems.
• Familiarity with stream processing frameworks, preferably Apache Flink or Kafka Streams.
• Practical experience with Azure equivalents (e.g., Event Hubs, AKS, Blob Storage).
• Experience utilizing Infrastructure as Code (IaC) tools like Terraform for automated provisioning.
• Experience establishing and improving CI/CD pipelines and DevSecOps best practices.

About New Relic

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