Systems Engineer — AWS Infrastructure, IAM & DevOps Automation

Overview

We’re seeking a Systems Engineer with deep experience in AWS infrastructure and a strong focus on identity and access management (IAM) and Dev Ops automation. In this role, you will design, build, secure, and automate cloud infrastructure across services such as S3, EC2, Lambda, and Elastic Beanstalk, while driving operational excellence through Infrastructure as Code (IaC), CI/CD, monitoring, and reliability best practices.

You’ll partner closely with application teams, security, and platform engineering to deliver scalable, secure, and repeatable AWS environments that support modern delivery and operational needs.

This is a hybrid role in Cincinnati, OH - 3 days onsite one week, 2 days onsite the next.

AWS Infrastructure & Operations

• Design, deploy, and manage AWS infrastructure leveraging S3, EC2, Lambda, Elastic Beanstalk, and supporting services (e.g., VPC, Cloud Watch, Cloud Trail, ALB/ELB, Route 53 as applicable).
• Maintain and improve environment stability, scalability, and cost efficiency through proactive performance tuning and Fin Ops-minded practices.
• Troubleshoot complex infrastructure and application deployment issues; perform root-cause analysis and implement preventative measures.

• Architect and manage IAM roles, policies, permission boundaries, and service roles using least-privilege principles.
• Implement identity patterns for workloads (e.g., role-based access, temporary credentials, policy standardization).
• Support security controls, auditing, and compliance through logging, monitoring, and policy guardrails (e.g., Cloud Trail, Config, access reviews).

• Build and maintain IaC using Terraform and/or AWS Cloud Formation, ensuring repeatable, version-controlled infrastructure.
• Develop and maintain CI/CD pipelines (e.g., Git Hub Actions, Jenkins, Git Lab CI, AWS Code Pipeline/Code Build) to automate builds, deployments, and infrastructure changes.
• Automate operational workflows (patching, backups, provisioning, environment promotion) using scripting (Python/Bash) and AWS automation services.

• Implement robust monitoring, alerting, and dashboards using Cloud Watch, log aggregation, and APM tools as applicable.
• Improve operational readiness with runbooks, incident response procedures, and SRE-style practices (SLOs/SLIs where appropriate).
• Participate in an on-call rotation (if applicable) and drive continuous improvement post-incident.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to  learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

• 3+ years experience supporting production infrastructure in AWS (or equivalent cloud with strong AWS hands-on).
• Strong working knowledge of:
• S3 (policies, encryption, lifecycle rules, access controls)
• EC2 (AMIs, autoscaling, security groups, EBS, patching strategies)
• Lambda (deployments, permissions, triggers, monitoring)
• Elastic Beanstalk (environment management, deployment strategies, scaling)
• IAM (roles, policies, trust relationships, least privilege)
• Proven experience with Infrastructure as Code (Terraform and/or Cloud Formation).
• Experience building or supporting CI/CD pipelines and automated deployment workflows.
• Proficiency with Linux fundamentals and scripting/automation (Python and/or Bash).
• Familiarity with networking concepts (VPCs, subnets, routing, DNS, load balancing). AWS certifications (one or more):
  Solutions Architect, Sys Ops Administrator, Dev Ops Engineer.
• Experience with containers and orchestration (ECS/EKS, Docker) and/or serverless frameworks.
• Familiarity with secrets management (AWS Secrets Manager / Parameter Store) and KMS encryption patterns.
• Experience with configuration management tooling (Ansible, Chef, Puppet) and/or golden image pipelines.
• Exposure to governance tooling and controls (AWS Config, SCPs/Organizations, security posture tools).
• Understanding of cost optimization practices (rightsizing, reserved instances/savings plans, storage tiering).