Senior Backend Engineer

A fast-growing, AI-driven SaaS company operating in the network management and IT infrastructure space, is looking for an experienced Senior Backend Engineer to join it's team.

The Role:

We are looking for a Senior Backend Engineer to help design and build our high-throughput, low-latency processing infrastructure. In this role, you will be a key contributor to the core systems that power our platform, working on complex technical challenges at scale.

We are looking for someone who thrives on solving complex, large-scale system challenges.

This is not a maintenance role. You will be building high-throughput, low-latency distributed systems that process massive volumes of data in real time. You’ll work alongside strong engineers and be expected to operate at a high technical bar from day one.

What You’ll Do:

• Design and build scalable, distributed microservices from the ground up

• Own critical components end-to-endת from architecture to production

• Write clean, efficient, production-grade code with a strong focus on performance

• Tackle hard problems in concurrency, data processing, and system reliability

• Push the system to its limits and redesign it when it breaks

• Collaborate closely with product and engineering to deliver impactful features

• Continuously raise the engineering bar through code and design reviews

What We Expect:

• You take ownership and move fast without sacrificing quality

• You are opinionated about system design and can defend your decisions

• You’ve built and scaled real systems in production, not just prototypes

• You are comfortable diving deep into performance bottlenecks and debugging complex issues

• You don’t wait for direction. You identify problems and solve them

• You want to work with strong engineers and be challenged daily

Requirements:

• 5+ years of hands-on backend development experience

• Strong expertise in Java (Spring / Spring Boot), with Strong advantage for experience with Python and/or Node.js as well

• Experience working in the communication networks field - big advantage

• Proven experience building high-scale, distributed systems

• Deep understanding of microservices architecture

• Experience with Docker and Kubernetes in production

• Strong experience working in cloud environments (AWS, GCP, Azure)

• Solid understanding of networking fundamentals

• Experience with relational databases (e.g., PostgreSQL)

Advantage:

• Data Science Background (work/school)

• Experience with Kafka, Redis, ActiveMQ, or similar systems

• Background in data-intensive systems, streaming, or real-time processing

• Experience with Apache Flink, Spark, or similar frameworks

• Familiarity with Machine Learning systems or pipelines