Senior Data Platform Engineer - Cloud & Distributed Systems

LexisNexis Risk Solutions Inc. Company; Dayton (OH); On-site; USD 95,000 - 159,000; Full time

Benefits offered by this job

Annual incentive bonus

Country-specific benefits

Job summary

LexisNexis Risk Solutions in Dayton, OH seeks an experienced software engineer to design, develop, and deploy scalable data ingestion and processing platforms. The role emphasizes collaboration with product and platform teams to translate complex requirements into reliable software across distributed systems.

You will work with Java, cloud-native services, Kubernetes, and data-lake storage, while building robust testing, monitoring, and performance enhancements.

Qualifications

• 7+ years of professional Software Engineering experience.
• BS in Engineering, Computer Science, or related discipline, or equivalent practical experience.
• Experience developing and supporting production backend, distributed, data-intensive, or cloud-native systems preferred.

Responsibilities

• Design, develop, test, deploy, and maintain software for large-scale data ingestion and processing workflows.
• Collaborate with engineers, product stakeholders, and platform teams to translate requirements into scalable designs.
• Develop and optimize interactions with relational databases, data-lake/storage, and messaging systems.
• Build observability through logging, metrics, dashboards, and alerts; participate in incident response and RCAs.

Skills

Java programming

Distributed systems

Cloud-native apps

Kubernetes

SQL & relational DBs

Observability

CI/CD

Mentoring

Performance tuning

Education

BS in Engineering/CS or related

Tools

Azure AKS

GitHub Actions

Grafana

Azure Data Lake Storage

CI/CD tooling

Job description

LexisNexis Risk Solutions in Dayton, OH seeks an experienced software engineer to design, develop, and deploy scalable data ingestion and processing platforms. The role emphasizes collaboration with product and platform teams to translate complex requirements into reliable software across distributed systems.

You will work with Java, cloud-native services, Kubernetes, and data-lake storage, while building robust testing, monitoring, and performance enhancements.