Datadog Jobs in Anderson, IN (NOW HIRING)

Cloud Engineer requires:

• Bachelor's degree in Computer Science, Information Technology, or a related field — or equivalent professional experience.
• 3+ years of hands-on cloud engineering experience in a production enterprise environment (Microsoft Azure required).
• Demonstrated proficiency with infrastructure-as-code tools (Terraform, Ansible, Bicep, ARM templates, or equivalent) and version control (Git).
• Proficiency in scripting languages (Python, Bash, or equivalent) for automation and tooling development.
• Strong understanding of cloud networking, virtualization, containerization (Docker, Kubernetes), and cloud security principles.
• Experience with CI/CD pipelines and DevOps practices in a cloud-native context.
• Microsoft Azure certification strongly preferred — Azure Solutions Architect Expert, Azure Administrator Associate, or Azure DevOps Engineer Expert.
• Experience with FinOps practices and cloud cost optimization at enterprise scale. – Familiarity with monitoring and observability platforms (Prometheus, Grafana, Datadog, Azure Monitor, Application Insights, or equivalent).
• Experience in pharmaceutical, healthcare, life sciences, or other regulated industries — particularly with GxP, 21 CFR Part 11, or HIPAA cloud compliance requirements.
• Experience with Kubernetes in production (Azure Kubernetes Service / AKS or self-managed) including cluster operations and workload management.
• Background in cloud security architecture: IAM design, secrets management, network security groups, and cloud-native security tooling.
• Deep, hands-on cloud expertise — build and operate production cloud infrastructure, and you hold yourself accountable for its reliability, security, and cost.
• Infrastructure-as-code as a default practice: write Terraform or equivalent as naturally as you use the cloud console, and you understand why that matters for consistency, auditability, and scale.
• A security-conscious engineering mindset — design with least privilege, defense in depth, and compliance requirements built in from the start, not retrofitted under pressure.
• A cost-conscious approach: care about what cloud resources cost, design systems that deliver value without unnecessary spend, and proactively surface optimization opportunities.

DUTIES:

• Cloud Architecture & Infrastructure – Design and deploy cloud architectures on Microsoft Azure that meet performance, security, availability, and cost-efficiency requirements for a diverse portfolio of enterprise and research applications. –
• Architect and implement cloud networking, compute, storage, and identity constructs with security built in from the outset — applying least-privilege principles, network segmentation, encryption, and defense-in-depth across every layer.
• Evaluate and recommend cloud services, architectural patterns, and infrastructure approaches; build evidence-based adoption cases that account for engineering capability, operational cost, and long-term platform sustainability. Automation & Deployment
• Implement and maintain infrastructure-as-code (IaC) frameworks using Terraform, Ansible, Bicep, ARM templates, or equivalent — making infrastructure provisioning repeatable, auditable, and developer-friendly.

Build and maintain CI/CD pipelines for cloud infrastructure and application deployments; ensure changes are tested, validated, and deployed