Software Architect, AWS, Cloud Computing: Infrastructure & Operations
Listed on 2026-09-06
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IT/Tech
AWS, Cloud Computing: Infrastructure & Operations
Wood Mackenzie is the global leader in analytics, insights and proprietary data across the entire energy and natural resources landscape.
For over 50 years our work has guided the decisions of the world's most influential energy producers, utilities companies, financial institutions and governments.
Now, with the world's energy system more complex and interconnected than ever before, sector-specific views are no longer enough. That's why we've redefined what's possible with Intelligence Connected.
By fusing our unparalleled proprietary data with the sharpest analytical minds, all supercharged by Synoptic AI, we deliver a clear, interconnected view of the entire value chain. Our trusted team of 2,700 experts across 30 countries breaks siloes and connects industries, markets and regions across the globe.
This empowers our customers to identify risk sooner, spot opportunities faster and recalibrate strategy with confidence - whether planning days, weeks, months or decades ahead.
Wood Mackenzie
Intelligence Connected
Wood Mackenzie Brand Video
Wood Mackenzie Values- Inclusive - we succeed together
- Trusting - we choose to trust each other
- Customer committed - we put customers at the heart of our decisions
- Future Focused - we accelerate change
- Curious - we turn knowledge into action
Join the Thunder cats Team, responsible for real-time platforms that collect, process, analyze, and distribute operational data from thousands of energy assets and sensors worldwide. Our systems provide critical insights into power grids, power plants, transmission infrastructure, industrial facilities, and large energy consumers helping customers monitor performance, detect events, and improve operational reliability.
VoltronWood Mackenzie's primary operational intelligence platform, providing real-time visibility into energy infrastructure through monitoring, analytics, visualization, and event management capabilities.
Current focus:
Re-architecture, performance improvements, reliability enhancements, new features, and 3D visualization support.
Backend services supporting Eagle and Polaris sensors, data ingestion pipelines, and integrations with downstream platforms such as PowerRT.
Current focus:
Expanding sensor capabilities, improving data quality, enhancing integrations, and supporting new products and services.
- Develop and maintain large-scale real-time data processing systems
- Design and implement new product features for internal and external customers
- Improve performance, scalability, reliability, and observability across platforms
- Contribute to cloud migration and modernization initiatives (AWS and Azure)
- Work with IoT sensor data, event streams, and operational analytics
- Maintain, enhance, and document existing systems
- Collaborate with product, engineering, and domain experts across the organization
- Participate in architecture, design, and operational excellence initiatives
- Work as part of an international agile team
- Python, PostgreSQL, Kafka
- Frontend:
React, JavaScript, CSS - Apache Airflow for workflow orchestration
- AWS and Azure cloud services
- Additional downstream integration technologies
- Python development
- Database knowledge (SQL, performance tuning)
- Git version control
- AWS cloud services (RDS, Kinesis/MSK, ECS, S3, EC2, Cloud Formation)
- AI/Machine Learning experience
- Ability to learn new technologies
- Java development
- Frontend experience (React, Angular, CSS, HTML, JavaScript)
- Dev Ops skills (automation, monitoring, alerting, CI/CD, Cloud Formation)
- Experience migrating systems to the cloud
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Equal OpportunitiesWe are an equal opportunities employer. This means we are committed to recruiting the best people regardless of their race, colour, religion, age, sex (including pregnancy, sexual orientation, and gender identity), national origin, disability or protected veteran status. You can find out more about your rights under the law c.gov
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