Streaming Reliability Engineer

XpertDirect; Stockholms kommun; On-site; SEK 900,000 - 1,200,000; Full time

Job summary

Mobility Technology in Stockholm seeks a Streaming Reliability Engineer to own the performance, resilience, and operability of high-throughput streaming infrastructure processing real-time data.

You will work at the intersection of Streaming Engineering, SRE, and Platform Engineering to keep Kafka and Flink workloads fast, observable, and reliable as data volumes grow.

Qualifications

• 4+ years in Streaming Engineering, SRE, Data Infrastructure or Platform Engineering.
• Proficient in Java and/or Scala.
• Strong understanding of distributed systems and production reliability.

Responsibilities

• Operate and improve high-throughput Kafka infrastructure.
• Build and optimise real-time processing workloads using Apache Flink.
• Improve reliability across Kubernetes-based streaming environments.
• Define SLIs, SLOs, and reliability standards for critical streaming services.
• Build monitoring and alerting using Prometheus.
• Investigate latency, throughput, consumer lag, backpressure, and processing failures.
• Automate infrastructure provisioning and configuration using Terraform.
• Improve partitioning, scaling, and resource-allocation strategies.
• Build reliability tooling in Java and/or Scala.
• Automate recovery and reduce manual intervention during incidents.
• Perform capacity planning for growing event volumes.
• Partner with Data and Platform Engineers to design more resilient streaming systems.

Skills

Streaming engineering experience

Java/Scala

Distributed systems

Tools

Terraform

Prometheus

Kubernetes

Kafka

Flink

Job description

Mobility Technology | Streaming Infrastructure | Site Reliability Engineering | Real-Time Data | Distributed Systems

Our client, a growing Mobility Technology company based in Stockholm, is looking for a Streaming Reliability Engineer to own the performance, resilience, and operability of high-throughput streaming infrastructure processing real-time operational data.

You'll work at the intersection of Streaming Engineering, SRE, and Platform Engineering, ensuring Kafka and Flink workloads remain fast, observable, and reliable as data volumes and platform complexity grow.

What You'll Work On

• Operate and improve high-throughput Kafka infrastructure
• Build and optimise real-time processing workloads using Apache Flink
• Improve reliability across Kubernetes-based streaming environments
• Define SLIs, SLOs, and reliability standards for critical streaming services
• Build monitoring and alerting using Prometheus
• Investigate latency, throughput, consumer lag, backpressure, and processing failures
• Automate infrastructure provisioning and configuration using Terraform
• Improve partitioning, scaling, and resource-allocation strategies
• Build reliability tooling in Java and/or Scala
• Automate recovery and reduce manual intervention during incidents
• Perform capacity planning for growing event volumes
• Partner with Data and Platform Engineers to design more resilient streaming systems

Core Skills

• 4+ years in Streaming Engineering, SRE, Data Infrastructure, Platform Engineering, or similar roles
• Java and/or Scala
• Strong understanding of distributed systems and production reliability

Nice to Have

• Kafka Streams / Kafka Connect
• Exactly-once processing concepts
• Event-driven architectures
• AWS / GCP
• JVM performance tuning
• Incident management and postmortems
• High-throughput or low-latency systems
• Experience operating multi-region streaming infrastructure