Job Description Summary

Consulting Services business is seeking a Senior Platform Engineer to support evolution of our integrated systems planning software. This role focuses on creating reliable, scalable, and developer-friendly platforms that support complex, model-driven workloads, large datasets, and long-running simulations. You will enable application engineers and energy system modelers to build, deploy, and operate planning capabilities efficiently and safely.

Job Description

Roles & Responsibilities

• Design and operate Kubernetes-based runtime platforms for batch and service workloads
• Support scheduling and orchestration of long-running and compute-intensive jobs
• Define resource management, autoscaling, and workload isolation strategies
• Partner with infrastructure teams on cluster lifecycle and capacity planning
• Build and maintain CI/CD pipelines for application, model, and platform components
• Automate environment provisioning and deployment workflows
• Ensure reproducible builds and deployments across environments
• Implement platform-level monitoring, logging, and alerting
• Define platform SLIs/SLOs and reliability standards
• Improve resilience and operational maturity of the platform
• Support incident response and root-cause analysis as needed
• Integrate security best practices into the platform (identity, secrets, access control)
• Support auditability, traceability, and reproducibility requirements
• Enable compliance with expectations common in utility and ISO/RTO environments
• Partner closely with product, application engineering, data science, and modeling teams
• Act as a technical advisor on platform and runtime design
• Design and maintain internal platforms that abstract cloud and infrastructure complexity
• Build self-service tooling for deploying services, models, and analytical workflows

Required Qualifications

• 6+ years of experience in platform, infrastructure, or backend engineering
• Strong experience with Kubernetes and containerized workloads
• Experience building internal platforms or developer tooling
• Proficiency with CI/CD systems and automation
• Solid understanding of cloud platforms (AWS, Azure, or GCP)
• Experience using toolsets like  Jenkins, Terraform , AQUA

Preferred Qualifications

• Experience supporting data-intensive or simulation-driven systems
• Familiarity with batch processing, distributed compute, or HPC-style workloads
• Experience in regulated or mission-critical software environments
• Exposure to energy systems, utilities, or grid planning (a plus)

Additional Information