Senior Software Engineer

Summary

The Senior Software Engineer will lead platform modernization initiatives, focusing on building scalable backend services in Golang for large-scale time-series data workloads. The role involves designing resilient systems, integrating event-streaming platforms, and utilizing AI-assisted tools throughout the development lifecycle.

Key Responsibilities

  • Analyse the existing platform architecture and codebase to understand system behaviour, dependencies, and technical constraints.
  • Own end-to-end solution design and implementation planning for platform modernisation initiatives.
  • Modernise data ingestion, processing, storage, and analytics capabilities for large-scale time-series workloads.
  • Design and develop scalable backend services using Golang.
  • Implement integrations with databases, event-streaming platforms, and supporting services.
  • Collaborate with product, infrastructure, cybersecurity, and business stakeholders to deliver modernisation initiatives.
  • Leverage AI tools throughout the software development lifecycle, including code analysis, development, testing, troubleshooting, and documentation.
  • Follow engineering best practices in software design, testing, observability, automation, and operational excellence.

Requirements (Must Have)

  • 8+ years of software engineering experience building enterprise-grade applications.
  • Strong proficiency in modern Golang development.
  • Deep understanding of time-series data systems, including ingestion, transformation, aggregation, storage, and querying including experience in implementing & operating said solutions.
  • Strong knowledge of distributed systems, and modern web application architecture.
  • Experience with Kafka, event streaming, or real-time data processing platforms.
  • Experience designing and building scalable, resilient, and maintainable software systems.
  • Practical experience using AI-assisted engineering tools to improve productivity and software quality.

Preferred

  • Experience with TimescaleDB or other time-series databases.
  • Experience with Azure Cloud and Kubernetes.
  • Experience leading application or platform modernisation initiatives.
  • Experience in IoT, utilities, energy, or industrial systems

See also

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