Infrastructure Engineer III – AWS, Terraform, Python

• Build and support Environment-as-Code solutions and core engineering workstreams using AWS (EC2, EKS, CloudFront), Terraform, OpenSearch, EMR, and Python.
• Drive new initiatives for cloud migration and platform modernization leveraging AWS, Terraform, and Python.
• Provision and operate EKS and ECS clusters, and implement observability with Datadog, Dynatrace, and Gremlin.
• Troubleshoot technical issues by decomposing problems and resolving cases of basic complexity.
• Maintain an up-to-date inventory of environments and assist development teams in debugging environment-specific issues.
• Deliver BAU UNIX support, remediate risk breaks, and enforce audit compliance across global operations.
• Manage and distribute workloads across APAC and NA to ensure continuous coverage and operational efficiency.
• Collaborate with cross-functional partners to proactively meet new opportunities and project demands.
• Uphold high standards for service delivery, regulatory compliance, and customer satisfaction.
• Contribute to sustained excellence in support, engineering, and feature onboarding activities.
• Document configurations, runbooks, and operational procedures to improve supportability and knowledge sharing.

Required qualifications, capabilities, and skills

• Formal training or certification on infrastructure disciplines concepts and 3+ years applied experience
• Hands on experience in platform engineering, cloud infrastructure, or UNIX support.
• Hold an active AWS certification.
• Build and support web environments on AWS, including EC2, ELB, RDS, Lambda, and S3.
• Automate infrastructure tasks using Python or another scripting language.
• Demonstrate understanding of compliance, risk management, and audit processes.
• Support global operations and coordinate across distributed teams.
• Communicate effectively and collaborate across engineering and business stakeholders.
• Solve problems methodically and drive issues to resolution.
• Adapt quickly in a fast-paced, evolving environment and reprioritize as needed.
• Document designs, standards, and procedures to ensure operational consistency.

• Leverage experience with Terraform, OpenSearch, EMR, and Flink in production environments.
• Enhance observability and resilience using Datadog, Dynatrace, and Gremlin.
• Optimize Kubernetes/EKS and ECS cluster operations for performance, reliability, and cost.
• Coordinate follow-the-sun support models across APAC and NA regions.