OneMain Financial Jobs

Job Description

Insight Global is looking for a Cloud Platform Engineer to join one of North America's largest retail and wellness companies. The ideal candidate will be joining the Cloud Foundations team is a core pillar of technology strategy. We provide strong, scalable foundations across Azure and AWS, using cloud-native services to offer secure, self-service platforms with clear guardrails for our internal engineering teams. You’ll be hands-on, collaborate across platform, security, and product teams, and contribute to a consistent delivery cadence and short cycle times in line with our team’s goals

• Build, enhance, and operate AWS/Azure landing zones, reference architectures, and

reusable Terraform modules that enable secure, self-service provisioning.

• Implement policy-as-code guardrails (e.g., OPA/Conftest/Azure Policies/Service Control

Policies) to protect the organization while preserving developer velocity.

• Contribute to GitLab-based CI/CD pipelines, artifact management, and release

automation for infra and platform products.

• Participate in the on-call rotation, incident response, and post-incident reviews for

cloud platform services supporting high-volume retail experiences.

Internal

• Enable integration patterns for agent tool use (function calling, API mediation,

approvals), plus guardrails for least-privileged access, secrets handling, and PII

protection.

• Integrate observability for agent runs (traces/metrics/logs/evals), cost controls,

rate-limit handling, safe defaults, and automated rollback/kill switches.

• Document golden paths and developer guides that simplify adopting AI/agent

capabilities.

• Embed practical security into designs (network segmentation, KMS, identity, secret

management, private endpoints) and support compliance controls.

• Drive SRE practices for platform services (SLOs, error budgets, autoscaling, chaos/game

days).

• Apply FinOps practices (tagging, budgets, anomaly detection, right-sizing) to optimize

cost-to-operate

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 HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

• 3–5 years in cloud/platform engineering or SRE, working with distributed systems in

AWS and/or Azure.

• Proficiency with Terraform and Infrastructure as Code; comfortable designing reusable

modules and pipelines.

• Working knowledge of GitLab CI/CD (or similar), containerization, and orchestration.

• Coding proficiency in at least one of Python or Go; able to integrate with REST/JSON

APIs.

• Familiarity with serverless patterns and event-driven architectures.

• Exposure to AI/LLM/agent development concepts (prompting, tool and skill

use/function calling, RAG). • Policy-as-code (OPA/Conftest/Azure Policy), secrets and identity (IAM/AAD), and private

networking

• Observability stacks (Splunk/Datadog, logs/metrics/traces), and LLM run

analytics/evaluations.

• FinOps practices and cost optimization in multi-cloud.