Senior Backend Software Engineer

About the job

Nexthink is the leader in digital employee experience management software. The company provides IT leaders with unprecedented insight allowing them to see, diagnose, and fix issues at scale impacting employees anywhere, with any application or network, before employees notice the issue. As the first solution to allow IT to progress from reactive problem solving to proactive optimization, Nexthink enables its more than 1,300 customers to provide better digital experiences to more than 18 million employees.

As a Backend Software Engineer at Nexthink, you will join a highly autonomous and experienced team integral to the core functionality of the Nexthink product. The team owns the data pipelines that collect data from over 25 million Endpoints, integrating and enriching massive volumes of Endpoint data and transforming it into actionable insights.

You will work closely with Endpoint engineers to build data collection features end-to-end. You will have full, end-to-end ownership of the components you build—from requirements and design through implementation, validation, and deployment.

We embrace a DevOps and CI/CD culture focused on automation, code quality, and maintainability, working together to build a world-class cloud platform with modern practices.

You will partner closely with the Product team to deliver, and we place a high value on agency and strong ownership.

Qualifications

5+ years of experience in software engineering, ideally on backend or data-intensive systems

Strong Java skills and a deep understanding of the JVM (Java 17 and 21)

Solid grasp of concurrency—multithreading, thread-safety, and concurrent data structures for high-throughput systems

Experience building microservices with Spring Boot or Micronaut

Experience with event-driven architectures and distributed systems

Strong SQL and hands-on experience with high-volume relational databases or data warehouses (e.g., Postgres)

Solid experience with Apache Kafka and Kafka Streams (stateless and stateful topologies) for building high-throughput data pipelines

Hands-on experience running services on AWS, including monitoring, alerting, and operational best practices

Strong automated testing practices (unit and integration) and a focus on code quality

Experience with agentic AI coding tools such as Claude Code or Cursor

Fluent in English (spoken and written)

Desirable Pluses

Experience with DevOps, GitOps, and infrastructure as code (e.g., FluxCD / Helm / Kustomize)

High-performance analytical databases like ClickHouse

Observability and monitoring tools such as DataDog or Prometheus/Grafana