SuperAwesome

• Creating digital experiences that are safe and empowering for young audiences • Designing and implementing features and services for one of SuperAwesome’s key products • Maintaining high levels of code quality, test coverage, and operational visibility • Building backend-heavy systems while contributing across the full stack where needed • Ensuring system performance, reliability, and scalability as usage grows • Helping break complex problems into simple, maintainable deliverables • Supporting the product in production, including participation in our on-call rota • Writing clear technical documentation and participating in architecture reviews • Championing DevOps culture—treating infrastructure as code and owning deployments

• Work across the full stack depending on where you can drive the highest impact: from ETL pipelines to data warehousing to visualisations, as well as testing and cloud infrastructure. • Work with your team to design and implement features and services for the data analytics solution, and keep the design choices well-documented and explained • Train/mentor other Data engineers on Data engineering best practice. • Use your experience to create/improve predictive data quality • Champion the DataOps culture, support data systems in production, including participation in our out-of-hours on-call rota • Communicate with customers to discuss new use cases or help them identify and fix data issues, as well as manage the end-to-end setup for them: from raw data analysis, to defining and implementing data ingestion/enrichment pipelines to creating data visualisations

• Design, evolve, and optimise our cloud-native infrastructure (AWS, Kubernetes, Terraform) to ensure reliability, scalability, and maintainability. • Improve platform responsiveness and reduce friction for engineering teams through better tooling, automation, and guardrails. • Drive operational excellence by strengthening observability, resilience, and cost-aware engineering practices. • Work towards designing and implementing self-healing, reliable and scalable infrastructure in a cloud-native environment. • Actively participate in architectural decision-making, bringing thoughtful challenge and well-supported alternatives where appropriate. • Contribute to intelligent automation and self-healing systems where it adds measurable value (experience with AI-assisted operations is a plus). • Act as a senior escalation point for platform and infrastructure-related production incidents, contributing to resolution and meaningful post-mortems.