kpler - Backend Engineer
Requirements
• 3+ years of professional software engineering experience delivering backend services and data pipelines in production. • Strong proficiency in at least two core backend programming languages: Java, TypeScript, PHP, or Scala. • Practical experience building and operating event-driven applications or data pipelines in cloud environments (AWS). • Hands-on experience with containerized deployments using Kubernetes, Docker, and GitOps workflows. • Solid background in SQL, relational database design, data modeling, and distributed system fundamentals. • Production experience with Apache Flink, Kafka Streams, or Snowflake. • Exposure to Test-Driven Development (TDD) and modern observability stacks (Datadog, OpenTelemetry, metrics, tracing). • Experience working on high-throughput, low-latency streaming systems where data freshness is critical. • We are a dynamic company dedicated to nurturing connections and innovating solutions to tackle market challenges head-on. If you thrive on customer satisfaction and turning ideas into reality, then you’ve found your ideal destination. Are you ready to embark on this exciting journey with us? • We make things happen • We act decisively and with purpose, going the extra mile. • We build together • We foster relationships and develop creative solutions to address market challenges. • We are here to help • We are accessible and supportive to colleagues and clients with a friendly approach. • Our People Pledge • Don’t meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don’t match 100% of the job requirements. Don’t let the confidence gap stand in your way, we’d love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team.
Responsibilities
• Design, build, and maintain high-performance backend microservices and APIs using Java, TypeScript, and PHP. • Develop and operate scalable real-time stream-processing applications using Apache Kafka, Kafka Streams, and Apache Flink. • Drive end-to-end technical ownership of backend services from design and testing through deployment, continuous monitoring, and production operations. • Optimize system health, throughput, and consumer lag across streaming infrastructure to maximize data freshness and platform uptime. • Investigate production incidents, perform thorough root-cause analysis, and implement long-term structural improvements. • Reduce technical debt by continuously elevating software maintainability, observability, automated test coverage, and CI/CD practices. • Partner cross-functionally with product managers, platform engineers, and peer teams to turn complex maritime domain needs into robust software.
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