Software Engineer III, Data Platform Operations - Remote

aaaie; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

CSAA Insurance Group in the United States is seeking a Software Engineer III, Data Platform Operations to join a remote team. You will develop, deliver, and support software and automation that strengthen the reliability and operational readiness of the enterprise data platforms.

The role focuses on platform operations, production support, automation, monitoring, incident response, deployment enablement, governance, and continuous improvement, working across cloud and on-premises data ecosystems

Responsibilities

• Develop, test, and maintain data platform software and automation.
• Collaborate with cross-functional teams to run production workloads.
• Implement CI/CD, monitoring, and observability across platforms.
• Support deployment, troubleshooting, and governance of data services.

Job description

Job Title

Software Engineer III, Data Platform Operations - Remote

Requisition Number

R8040 Software Engineer III, Data Platform Operations - Remote (Open)

Location

Arizona - Home Teleworkers

Job Information

CSAA Insurance Group (CSAA IG), a AAA insurer, is one of the leading personal lines property and casualty insurance groups in the United States. Here, every employee shapes our mission. We build innovative, human-centered solutions that help AAA members prevent, prepare for, and recover from life's uncertainties. You will join a collaborative, inclusive culture where your strengths have room to grow and your ideas can drive real impact. Step into a role where you can contribute to our shared success through meaningful work.

We are actively hiring for a Software Engineer III, Data Platform Operations - Remote.

Your Role

As a Software Engineer III - Data Platform Operations, you will develop, deliver, and support software and automation that strengthen the reliability and operational readiness of the organization's enterprise data platforms. Using established DevOps, DataOps, Agile, and software engineering practices, you will help maintain scalable, observable, and well-governed data services that support business intelligence, analytics, regulatory reporting, customer data exchanges, and operational decision-making.

This is not a traditional application development role. While software engineering is an important part of the position, the primary focus is platform operations, production support, automation, monitoring, incident response, deployment enablement, governance, and continuous improvement. You will work mostly independently within a collaborative team, contribute technical expertise, and serve as a go-to resource for design, implementation, and troubleshooting within your assigned areas.

Your Work

• You will work across a diverse enterprise data ecosystem that includes cloud and on-premises platforms, data warehouses, data lakes, ETL/ELT pipelines, streaming technologies, data integration platforms, orchestration tools, metadata and governance solutions, and emerging AI-enabled data capabilities.
• You will collaborate with Software Engineers, QA Engineers, Technical Analysts, Solution Architects, Data Engineering, Infrastructure, Security, Governance, Analytics, and Business teams to support production workloads, improve data availability and quality, and reliably deliver data products and services.

Data Platform Operations and Reliability

• Support enterprise data platforms including Snowflake, Informatica, StreamSets, Elastic, and AWS services such as S3, Glue, CodePipeline, CodeBuild, CodeDeploy, EventBridge, and Lambda, along with related cloud-native technologies.
• Develop, test, deploy, and maintain scalable, high-quality software, automation, and platform capabilities across supported technologies.
• Monitor platform reliability, scalability, performance, security, and operational readiness for production data and integration workloads.
• Perform deployment, maintenance, troubleshooting, and lifecycle management activities for data platform solutions and services.
• Follow established operational standards, support models, service-level objectives, engineering practices, and platform governance requirements.

DataOps, Automation, and Observability

• Design and implement automation, monitoring, observability, and operational tooling that improve platform reliability and team efficiency.
• Develop and maintain dashboards, health metrics, alerts, logging frameworks, and operational runbooks.
• Contribute to CI/CD pipelines, deployment automation, infrastructure-as-code, and model release processes.
• Participate in developing DevOps and observability metrics and dashboards to support solution and production readiness.
• Implement continuous integration, unit testing, static analysis, and automated integration testing to support reliable and efficient software delivery.
• Use approved APIs and tools to implement defined solutions and improve operational efficiency.

Incident Management and Problem Resolution

• Investigate and resolve production issues involving data platforms, cloud infrastructure, software components, and data integrations.
• Proactively identify problems, communicate roadblocks, and engage appropriate team members when additional support or escalation is needed.
• Participate in root cause analysis and implement corrective and preventive actions that improve platform stability.
• Work with engineering and business teams to restore service, communicate status, and reduce operational risk.
• Translate business and operational requirements into practical, supportable technical solutions.

Design, Development, and Delivery

Contribute to the