Specialist, Technology Engineer

Nationwide

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Columbus, OH
Salary
$95,500–$177,500 / yr
Posted
9 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $165k
This role $136k
$84k most similar roles pay here $206k

This role pays less than 79% of similar roles. Most pay $142,350–$187,250 — the shaded band above. At the midpoint, this role pays about $136k versus about $165k for comparable roles.

Based on 240 similar postings.

Employer

About Nationwide

Nationwide is a Fortune 100 insurance and financial services company offering auto, home, life, and commercial insurance along with retirement savings, asset management, and banking products. Industry: Insurance & Financial Services

Nationwide currently has 17 open roles on FindRole.

Listed pay typically runs $95,500–$177,500 across 17 roles with salary data.

Most-posted roles

View all roles at Nationwide

At a glance

TL;DR · Specialist, Technology Engineer

Specialist, Technology Engineer (AWS) joins the cloud platform engineering team to build, automate, secure, and support AWS infrastructure for enterprise application teams. This role involves provisioning workload accounts and sandbox environments, developing infrastructure-as-code using AWS CDK, Terraform, or CloudFormation, and managing deployment automation via GitHub Actions and Harness. The engineer will manage core services including Lambda, Step Functions, S3, KMS, EventBridge, and API Gateway while improving security through IAM least-privilege patterns and OIDC. Day-to-day tasks include troubleshooting production issues, participating in on-call rotations, and supporting observability through tools like Splunk, New Relic, and CloudWatch. The role focuses on solving complex infrastructure challenges by providing scalable solutions for enterprise workloads, implementing guardrails, and contributing to AI infrastructure initiatives using Python, Go, or TypeScript within a highly regulated environment.

What you'll do

  • Build and support AWS workload accounts, sandbox environments, and shared infrastructure across development, test, and production environments.
  • Develop and maintain infrastructure-as-code and deployment automation using tools like AWS CDK, GitHub Actions, and Python.
  • Engineer core AWS platform components including Lambda, Step Functions, S3, KMS, EventBridge, and API Gateway.
  • Improve security posture through IAM least-privilege access patterns, OIDC, policy controls, and vulnerability remediation.
  • Manage observability and monitoring by implementing logging, telemetry, and dashboards using tools like Splunk or New Relic.
  • Participate in on-call rotations to provide incident response, root cause analysis, and platform reliability improvements.
  • Contribute to AWS AI infrastructure initiatives and enterprise-scale modernization projects.
  • Troubleshoot production issues related to identity, networking, deployment pipelines, and resource lifecycle management.

What we're looking for

  • Experience engineering and supporting AWS infrastructure in an enterprise environment including IAM, networking, security, and serverless services.
  • Experience with infrastructure-as-code and automated deployment pipelines using tools like AWS CDK, Terraform, or CloudFormation.
  • Strong troubleshooting skills across infrastructure, access, connectivity, logging, monitoring, and AWS service workflows.
  • Experience implementing secure access patterns such as least-privilege IAM, OIDC/workload identity, and policy guardrails.
  • Ability to collaborate with cross-functional teams to understand requirements and deliver practical infrastructure solutions.
  • Ability to manage work in a structured way across testing, change control, implementation, and production validation.
  • Four or more years of experience with moderately complex integrated solutions and automation of solution configuration.
  • Undergraduate studies in computer science, management information systems, or a related field are preferred.

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