Senior Software Engineer — Cloud-Native Data & AI Platform Lead

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, Web Sockets, 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, Type Script, 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 & Dev Ops: Modernize Azure Dev Ops 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 Type Script/React stacks, supplemented by a practical working familiarity with Go and robust relational/non-relational SQL database operations
• Cloud Infrastructure & Dev Ops: 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 Dev Ops
• 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…