Key skills
Kafka ecosystemEvent-driven designCloud-native architecturesGolangPythonKubernetesDockerTerraformRDBMSNoSQL databasesRESTful API designMicroservice architectureMentorshipSQLNoSQLAIAgenticKafkaApache KafkaReactAngularTDDBDDGitHub ActionsHelmArgoCDPostgresPrometheusGrafanaSplunkRESTfulGitHubGitOpsCI/CDOKRs
About this role
WEX simplifies the business of running a business and is seeking a Software Development Engineer 4 to join their Global Technology Service Organization. In this role, you will lead the design and delivery of Kafka and eventing platforms, ensuring operational excellence and platform innovation.
Responsibilities:
- Lead the design and delivery of enterprise-grade Kafka and eventing platforms
- Build and maintain KaaS features, including automated provisioning, schema management, custom connectors, and self-service streaming governance
- Champion TDD, BDD, and automated CI/CD pipelines (GitHub Actions)
- Drive the integration of agentic workflows and AI-assisted automation to enable self-healing infrastructure and zero-downtime operations
- Implement and standardize robust IaC patterns using Terraform and Helm to ensure platform consistency across multi-cloud environments
- Own the operational health of Kafka services
- Establish SLIs/SLOs, drive proactive monitoring, and lead rapid incident response and root cause analysis
- Hold the team accountable for delivering quality results using defined OKRs
- Interact with Senior Managers to advise on complex technical matters and align the platform roadmap with business needs
- Mentor and learn from your peers, fostering a culture of continuous learning, ownership, and high-trust engineering excellence
Requirements:
- Bachelor's degree in Computer Science, Software Engineering, or related field; OR demonstrable equivalent experience
- At least 10 years of experience in software engineering, with a focus on large-scale distributed systems or platform services
- Proven ability to lead initiatives, mentor senior engineers, and influence technical direction across organizational boundaries
- Deep understanding of the Kafka ecosystem, event-driven design, and cloud-native architectures
- Languages: Golang and/or Python
- Eventing: Apache Kafka (Brokers, Connect, Schema Registry)
- Orchestration: Kubernetes and Docker
- Infrastructure: Terraform (IaC)
- Data: Modern RDBMS (Postgres, MS SQL) and NoSQL databases
- API: RESTful API design and Microservice architecture
- GitOps: Helm and ArgoCD
- Automation: GitHub Actions and Agentic/AI-driven automation frameworks
- Observability: Prometheus, Grafana, and Splunk
- Front-End: Modern Web UI Frameworks (React, Angular) for platform dashboards