Sr Software Engineer I

RWE•Austin, TX

5d•Onsite

About The Position

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.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, IT, or related fields—or equivalent proven track record of software engineering excellence in complex systems
5+ years of verified software engineering experience handling end-to-end production scale, service isolation, and lifecycle management within distributed, cloud-native enterprise environments
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
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
Direct hands-on background constructing and managing automated high-volume ETL data jobs, utilizing workflow management schedulers like Apache Airflow.

Nice To Haves

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
Prior domain familiarity operating within energy trading, electrical utilities, industrial automation IoT, or equivalent continuous streaming big data platforms

Responsibilities

Lead the end-to-end system design, robust implementation, and production scale of secure, event-driven microservices across Azure cloud environments
Build and mature automated data processing flows, intentionally integrating Machine Learning (ML) anomaly detection models to systematically track, evaluate, and categorize industrial asset downtime
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
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
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
Architect comprehensive system design documents and technical blueprints, accelerating team velocity, streamlining developer onboarding, and ensuring operational readiness
Drive proactive security audits and performance tuning, establishing automated vulnerability remediation and code optimization frameworks across the platform
Lead root-cause analysis for high-priority production incidents, collaborating across engineering teams to implement permanent preventative engineering fixes
Modernize Azure DevOps CI/CD pipelines to maximize deployment automation, accelerate release velocity, and improve developer efficiency