RWE Americas, LLC
To start as soon as possible, full time, permanent

Functional area: IT / Digital
Remuneration: Exempt

Join RWE America's Digital Solutions team and lead the critical software architecture driving our grid-scale renewable energy operations technology stack. In this role, you will take end-to-end engineering ownership of a high-throughput, custom data ecosystem connecting live operational assets directly to leadership metrics across 160+ wind, solar, and battery storage sites.

The Sr Software Engineer I's core focus will be evolving an intelligent, predictive data platform that aggregates, normalizes, and categorizes performance downtime events. Acting as a central technical anchor, you will drive a clean, cloud-native microservices architecture, institutionalize high code standards across multiple languages, and provide active technical mentorship to a growing engineering squad.

Role Responsibilities:

• Distributed Architecture: Lead the end-to-end system design, robust implementation, and production scale of secure, event-driven microservices across Azure cloud environments
• Intelligent Automation & AI: Build and mature automated data processing flows, intentionally integrating Machine Learning (ML) anomaly detection models to systematically track, evaluate, and categorize industrial asset downtime
• High-Throughput ETL Pipelines: Architect and scale resilient background ingestion engines and low-latency APIs (REST, WebSockets, AMQP protocols) capable of processing non-stop, continuous, high-volume operational telemetry data flows
• Technical Anchor & Leadership: Translate sophisticated business use cases directly into executable technical blueprints. Conduct comprehensive multi-language code reviews (C#/.NET, Python, TypeScript, Go) to optimize security, code reuse, and overall system reliability
• Proactive Observability: Establish comprehensive monitoring, distributed logging, and real-time alerting systems (utilizing Prometheus, Grafana, and Azure Monitor) to build deep operational insight and radically minimize unplanned production downtime
• Technical Documentation: Architect comprehensive system design documents and technical blueprints, accelerating team velocity, streamlining developer onboarding, and ensuring operational readiness
• Performance & Security: Drive proactive security audits and performance tuning, establishing automated vulnerability remediation and code optimization frameworks across the platform
• Incident Resolution: Lead root-cause analysis for high-priority production incidents, collaborating across engineering teams to implement permanent preventative engineering fixes
• CI/CD & DevOps: Modernize Azure DevOps CI/CD pipelines to maximize deployment automation, accelerate release velocity, and improve developer efficiency

Job Requirements and Experience:

• Education Credentials: Bachelor's degree in Computer Science, Software Engineering, IT, or related fields-or equivalent proven track record of software engineering excellence in complex systems
• Production Experience: 5+ years of verified software engineering experience handling end-to-end production scale, service isolation, and lifecycle management within distributed, cloud-native enterprise environments
• Multi-Language Polyglot Profile: High production proficiency across C#/.NET, Python, and TypeScript/React stacks, supplemented by a practical working familiarity with Go and robust relational/non-relational SQL database operations
• Cloud Infrastructure & DevOps: Hands-on engineering depth managing Azure cloud environments, production container orchestration (Kubernetes/AKS), Infrastructure-as-Code (Terraform/Helm charts), and declarative CI/CD release pipelines via Azure DevOps
• Advanced Data Workflows: Direct hands-on background constructing and managing automated high-volume ETL data jobs, utilizing workflow management schedulers like Apache Airflow.
• AI/ML Framework Integration (Preferred): Practical familiarity deploying, querying, or connecting to downstream data science models, statistical predictive analytics modules, or modern LLM APIs to drive automated multi-variable data classification
• Complex Domain Exposure (Preferred): Prior domain familiarity operating within energy trading, electrical utilities, industrial automation IoT, or equivalent continuous streaming big data platforms

Work Environment:

This position is an office-based role with some travel and visits to other RWE Americas offices and field locations. Applicants must be legally authorized to work in the United States. RWE Americas is unable to sponsor or assume visa sponsorship for this specific placement at this time.

Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. Eligible employees also participate in short-term incentives, in addition to salary.

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