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Job Description & How to Apply Below
Insight Global is seeking a Cloud Platform Engineer to join a high-impact Cloud Foundations team, a core pillar of the organization’s technology strategy. This team builds scalable, secure, and self-service cloud platforms across AWS and Azure, enabling internal engineering teams to move quickly with clear guardrails.
This is a hands-on role collaborating across platform, security, and product teams while supporting modern cloud-native delivery practices
.
Platform Engineering & Delive
- ry Build and operate AWS/Azure landing zones, reference architectures, and reusable Terraform modul
- es Enable secure, self-service infrastructure provisioning through standardized I
- aCDevelop and maintain Git Lab CI/CD pipelines, release automation, and artifact manageme
- nt Support cloud platform services through on-call rotation, incident response, and post-morte
msAI / Agent Enableme
- nt Enable integration patterns for agent tooling (function calling, APIs, approval
- s)
Implement guardrails for least-privileged access, secrets management, and PII protecti - on Build observability for agent runs (logs, metrics, traces, evaluation
- s)
Define golden paths and developer documentation to accelerate adoption of AI capabiliti
es Security, Reliability & Cost Optimizati
- on Embed security best practices (network segmentation, KMS, identity, secrets, private endpoint
- s)
Drive SRE practices (SLOs, error budgets, autoscaling, chaos testin - g)
Implement Fin Ops strategies (tagging, budgets, anomaly detection, right-sizing) to optimize cloud spe
nd
Required Ski
- lls3–5 years in cloud/platform engineering or SRE within AWS and/or Az
- ure Strong experience with Terraform, Infrastructure as Code, and reusable module des
- ign Experience with CI/CD pipelines (Git Lab preferred), containerization, and orchestrat
- ion Proficiency in Python or Go with ability to integrate REST/JSON A
- PIsUnderstanding of serverless and event-driven architectu
- res Exposure to AI/LLM/agent concepts (prompting, function calling, R
AG)
Nice to
- Have Policy-as-code (OPA, Conftest, Azure Pol
- icy)
Identity, secrets, and networking (IAM, AAD, private network - ing)
Observability tools (Datadog, Splunk, logs/metrics/trac - ing)
Experience with LLM evaluation/analytics too - ling
FinOps and multi-cloud cost optimization experi
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