Principal Software Developer
PowerPlan, Inc.7 hours ago
Atlanta, GA, USAStaff+
Responsibilities
- Own the delivery of scalable, maintainable, cloud-native services for the NXT platform.
- Learn the NXT architecture, legacy dependencies, cloud components, ML models, LLM services, and data pipelines, then present findings to the Director of Software Development.
- Create a personal roadmap covering technical development, backlog contributions, testing goals, tooling or workflow improvements, and applied ML/GenAI growth.
- Ship production-ready features with meaningful automated tests and minimal rework, including prediction models, anomaly detection, RAG search, LLM chatbots, and intelligent document processing.
- Modernize legacy systems, simplify integrations, deliver refactored services, and advance PowerBuilder deprecation.
- Identify opportunities for ML predictions and GenAI assistants to reduce manual work and create product value.
- Deliver measurable productivity improvements from AI-assisted development and create reusable patterns, SDKs, or internal libraries for ML and LLM integration.
- Maintain unit, integration, and regression coverage, meet incident-response SLAs, reduce defects, and monitor AI model performance, inference latency, output quality, and safety thresholds.
Requirements
- 7–10+ years of hands-on software development experience with enterprise-grade applications.
- Strong proficiency in C#/.NET, Angular or React, and Azure cloud-native development.
- Experience modernizing legacy systems and migrating monoliths to modular services.
- Deep understanding of microservices, RESTful API design, and event-driven architectures.
- Working knowledge of CI/CD pipelines, automated testing, and DevOps practices.
- Experience integrating classical ML models into applications, including prediction endpoints, feature pipelines, model serving, and feedback loops.
- Hands-on experience integrating generative AI and LLMs through RAG architectures, vector databases, embedding models, conversational features, prompt engineering, and enterprise guardrails.
- Familiarity with ML Ops practices including model versioning, model A/B testing, model-drift monitoring, and production inference pipelines.
- Experience with AI-assisted development tools such as GitHub Copilot, Cursor, and Windsurf, plus familiarity with LLM-based tooling.
- Strong communication and cross-functional collaboration skills across architecture, product, QA, and CloudOps.
- Demonstrated ownership, follow-through, early blocker escalation, and commitment to raising engineering standards.
Benefits
- Hybrid work arrangement combining onsite work at the corporate office with work from home; onsite attendance may be required for scheduled office days, team meetings, client meetings, or special events.
- Opportunity to influence the architecture, engineering practices, AI capabilities, and long-term direction of a modern SaaS platform.
Categories
About PowerPlan, Inc.
PowerPlan builds enterprise software that helps asset‑intensive organizations—especially utilities, energy, and other infrastructure operators—manage asset accounting, tax, and regulatory finance. It sells a suite now delivered on a modernizing SaaS platform, paired with professional services for implementations, integrations, and cloud migrations. Founded in 1994 and headquartered in Atlanta, it operates as an independent subsidiary of Roper Technologies and is used across sectors including energy, telecommunications, and rail.