• Design, assess, and implement scalable normalized data architectures • Define and enforce enterprise data modeling standards • Collaborate closely with Software Architects and Engineering teams • Develop and maintain canonical data models, ER diagrams, and data dictionaries • Identify and remediate structural technical debt • Design and optimize indexing strategies, query access patterns, and database performance • Implement secure multi-tenant data isolation strategies • Ensure data security, compliance, encryption, RBAC, and audit logging standards are followed • Implement best practices for schema versioning, migration scripting, CI/CD, and database monitoring • Manage and optimize database scalability, reliability, and maintainability • Troubleshoot complex database issues and perform root cause analysis • Mentor developers and provide technical leadership on best practices • Ensure high standards of performance, security, and data quality.

• Responsible for designing, developing and testing software for use in external facing software products. • Work with team lead in designing appropriate UI, architectural, database and instrument controls for company’s software products. • Model behaviors, object hierarchies, and database structure. • Conduct unit testing, verification and debugging of systems and troubleshoot to determine any issues and communicate appropriate solutions. • As required, present and participate in peer reviews of code and designs. • Responsible for the extension of existing systems for new capabilities. • As needed, develop and implement standard operating procedures (SOPs).

• Serve as technical owner for your area or service within the retail service cloud, setting architecture direction and maintaining quality standards • Design, build, and ship features — reading and writing code daily alongside the team • Identify and resolve technical challenges across the stack, from profiling and refactoring to scaling the platform • Replace legacy code and services with modern, maintainable solutions and optimize the overall stack • Build frameworks and reusable patterns for upcoming projects across the portfolio • Plan and communicate product roadmaps, triage sprint tickets, and push back on requests when technical tradeoffs demand it • Mentor junior engineers through code review, pairing, and hands-on problem solving • Help build the team by driving developer productivity and contributing to hiring decisions

• Develop and maintain high-fidelity power flow & optimal power flow models • Write and maintain automated tests and validation pipelines that verify model accuracy, catch regressions and ensure solver reliability • Drive the architecture of solvers that balance accuracy with computational performance • Build tooling that visualizes and translates model outputs into actionable insights, for internal and client-facing applications • Partner with our utility customers to understand their datasets and validate model outputs against their system measurements • Collaborate with Camus’ internal teams to integrate utility models (GIS, ADMS, and time series data) into the Camus platform • Identify and resolve computational bottlenecks in large-scale grid simulations