Specialist, Software Engineer - Infrastructure​/Platform Engineer - ETL Pipelines

Overview

We are looking for a strong infrastructure/platform engineer who can own production stability, platform operations, automation, security, and modernization across this compute estate.

• Support and enhance actuarial compute platforms including GGY AXIS, GlaaS environments, Beowulf HPC operations, AWS S3 and EC2 resources, UAC workflow orchestration, SSIS and ETL pipelines, and external data integrations.
• Maintain and optimize AWS-hosted actuarial compute infrastructure, including GGY eLink, queue managers, compute nodes, and supporting database services used for actuarial modeling workloads.
• Support hybrid storage patterns using AWS Storage Gateway and S3‑backed file shares that bridge on‑prem actuarial storage and cloud platforms.
• Administer and improve IAM roles, access controls, KMS‑backed encryption, and shared AWS platform capabilities used by the Compute Dragons environment.
• Participate in production support, incident response, operational monitoring, patching, and platform reliability activities needed to keep actuarial model runs and quarter‑end processing stable.
• Partner with engineering, actuarial, and vendor teams to manage upgrades, infrastructure changes, platform risk remediation, and modernization efforts across the compute estate.
• Improve disaster recovery, backup, resiliency, and capacity planning for business‑critical actuarial systems.

• Platform operations
  • Own day‑to‑day support for actuarial compute and storage platforms.
  • Manage virtual and Windows on‑prem servers that support actuarial compute platforms and related services.
  • Monitor availability, performance, capacity, and operational health of compute nodes, supporting servers, and storage integrations.
  • Troubleshoot production issues across infrastructure, connectivity, security, and application support boundaries.
• Cloud and infrastructure engineering
  • Build, maintain, and improve AWS infrastructure supporting actuarial workloads.
  • Manage EC2, S3, IAM, KMS, networking, and storage‑related configurations.
  • Support infrastructure changes with appropriate testing, rollback planning, and operational validation.
• Security and controls
  • Support access control reviews, least‑privilege access, MFA‑enabled remote access, and secure handling of platform credentials and encryption keys.
  • Partner on vulnerability remediation, patching, audit support, and control evidence as needed.
• Reliability and recovery
  • Support backup, restoration, disaster recovery, and recovery testing for key compute platforms and storage assets.
  • Help reduce operational risk tied to aging infrastructure, unsupported software, or manual operational processes.
• Engineering and modernization
  • Identify automation opportunities in provisioning, monitoring, deployment, patching, access management, and reporting.
  • Contribute to platform modernization initiatives spanning cloud adoption, storage architecture, code pipeline improvements, and operational tooling.

• Strong experience supporting production infrastructure and platform services in enterprise environments.
• Hands‑on experience with AWS services such as EC2, S3, IAM, and KMS.
• Experience with Windows Server administration, Active Directory, remote access controls, and operational support for server‑based platforms.
• Experience with infrastructure security, vulnerability remediation, patching, and operational monitoring.
• Ability to troubleshoot complex cross‑platform issues involving compute, storage, networking, access, and batch processing.
• Strong documentation, communication, and coordination skills for working with technical and business stakeholders.

• Experience with HPC or distributed compute environments such as Beowulf‑style clusters.
• Experience supporting actuarial or financial modeling platforms such as GGY AXIS, eLink, or similar vendor products.
• Experience with workflow scheduling, ETL, file transfer, and hybrid cloud storage integrations.
• Experience working in regulated environments with audit, control, and resiliency expectations.

• Compute platforms remain stable and available for actuarial model execution and downstream processing.
• Infrastruc…