Staff Software Engineer - Real-time Event Aggregation

T
TwilioCommunications
Remote - IrelandFull-TimeStaff
Salary not disclosed
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Job Details

Experience
8+ years
Required Skills
DockerSQLAWS EKSJavaKubernetesSpring BootClickhouseGrafanaCI/CDLinuxTerraformDatadogHIPAA

Requirements

  • 8+ years of professional Java development experience with mastery of high-performance and low-latency design patterns
  • Production experience with Kafka Streams, Flink, or comparable stream-processing frameworks for building real-time data pipelines
  • Hands-on ClickHouse (or columnar database) performance tuning and SQL optimization expertise
  • Proven success operating AWS-hosted microservices at scale with solid Linux, Docker, and Kubernetes knowledge
  • Strong observability mindset including metrics, tracing, alerting, and post-incident analysis capabilities
  • Excellent communication skills and a bias toward collaborative problem-solving in cross-functional team environments
  • Experience migrating single-region services to multi-region active-active topologies for high availability
  • Familiarity with data-privacy controls including PII tokenization and field-level encryption
  • Previous work in telecom, real-time analytics, or compliance-sensitive domains
  • Contributions to open-source Java or streaming projects demonstrating community engagement

Responsibilities

  • Design, build, and maintain high-performance Java microservices using Spring Boot, capable of ingesting >250K events/sec with p99 < 200 ms
  • Implement stateful stream-processing pipelines (Kafka Streams / Apache Flink) with idempotent replays, exactly-once semantics, and schema-evolution tooling
  • Optimize ClickHouse schemas, partitioning, and materialized views to support multi-region, sub-second queries for Early Warning System (EWS) detectors
  • Embed OpenTelemetry instrumentation and ship comprehensive metrics/traces/logs to Datadog and Grafana with SLI/SLO dashboards
  • Champion DevSecOps best practices including Terraform automation, CI/CD pipelines, Kubernetes orchestration, AWS infrastructure (EKS, MSK, S3), and compliance guardrails (HIPAA, SOX, GDPR)
  • Leverage best-in-class development productivity practices including AI-powered tooling to accelerate delivery and code quality
  • Mentor junior engineers and participate in rigorous code/design reviews to elevate team standards and foster knowledge sharing
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