We are looking for an experienced and passionate Staff Backend Software Engineer
to join a rapidly growing team. In this role, you will lead the design and evolution of our large-scale, real-time infrastructure that powers global in-app advertising.
Youll tackle complex engineering challenges and drive the design of systems built for massive scale, reliability, and performance. As a hands-on technical leader, youll influence architecture and implementation decisions that define the future of LevelPlays infrastructure.
This is a great opportunity for experienced professionals who have a strong background in backend development and a deep understanding of large-scale distributed systems. If you're passionate about tackling complex technical challenges and building products that reach a massive global audience, this role is for you.
What you'll be doing
Lead the design and development of large-scale, low-latency, high-throughput systems that power real-time ad bidding and delivery.
Define and drive technical strategy and long-term architecture for LevelPlays core infrastructure.
Collaborate cross-functionally with product, data, and ad network integration teams to deliver impactful solutions that scale globally.
Mentor and guide engineers, fostering a culture of technical excellence, ownership, and continuous improvement.
Investigate and resolve complex system challenges, optimizing performance, reliability, and cost efficiency.
Requirements: 8+ years of experience in software engineering, with significant experience in distributed systems, real-time systems, or high-scale backend infrastructure,i.e, message queue technologies (e.g., Kafka, Kinesis, SQS), and key-value databases (e.g., Aerospike, Redis).
Proven track record of technical leadership setting architectural direction, mentoring engineers, and leading projects end-to-end.
Strong proficiency in Java, Scala, Go, or similar languages, and experience working in JVM-based production environments.
Deep understanding of system design, concurrency, performance tuning, and data pipelines.
Experience with cloud infrastructure (AWS, GCP, or similar) and modern DevOps practices.
Excellent communication and collaboration skills; ability to influence technical and product decisions across teams.
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