• Design, configure, maintain, and enhance Celigo integration flows between NetSuite and other platforms. • Develop and support integrations across e-commerce, ERP, and supporting systems. • Optimise Celigo processes using scripting, transformations, and automation tools. • Configure, customise, and maintain NetSuite modules to support evolving business requirements. • Develop and maintain JavaScript-based integration logic, scripts, and automation workflows. • Maintain and enhance SuiteScript and Celigo scripts to improve reliability and performance. • Design and implement Celigo integration flows for Shopify and other connected platforms.

• Contribute to engineering initiatives as a full software developer, delivering production-quality features and services. • Write, review, test, and maintain clean, reliable, and scalable code following standard engineering workflows (PRs, code reviews, CI/testing). • Provide internal developer support by answering specialized, contextual questions across the engineering ecosystem (tooling, libraries, standards, and patterns). • Guide engineers on local development environment setup, Unix/Bash workflows, and day-to-day tooling usage. • Advise teams on internal tools and frameworks, clearly explaining technical trade-offs and recommending best paths forward. • Identify repetitive friction points and automate workflows through scripts, templates, and improved tooling. • Partner with the team to embed AI know-how into the company’s AI coding tools (e.g., Claude) and enable smarter developer experiences. • Contribute to infrastructure-as-code and internal platform efforts using Terraform, especially in AWS-based environments. • Help teams make identity/security framework decisions (e.g., Okta, Auth0) based on use case and organizational standards. • Operate effectively in ambiguous environments, establishing clarity where documentation or standards don’t yet exist.

• Design, develop, and maintain end-to-end data streaming and CDC pipelines using Kafka and Striim • Implement real-time data integration from source systems through streaming platforms to analytical and operational targets • Collaborate with architects, lead engineers, and business partners to translate requirements into technical solutions • Apply team best practices for Kafka topic design, partitioning, schema management, and Striim pipeline configuration • Build reliable, scalable, fault-tolerant streaming solutions with attention to data consistency and replayability • Perform code and configuration reviews and contribute to standards for testing, documentation, and deployment • Troubleshoot and resolve complex production issues related to streaming pipelines, including latency and data correctness • Participate in proof-of-concepts and evaluation of new streaming or data integration technologies • Continuously improve observability, monitoring, and alerting for streaming pipelines

• Work on an exciting product(s) where speed of delivery is essential • Develop web apps, APIs and systems to support a fast-moving team for consumer-facing products • Collaborate with a quirky and diverse crew to reach goals and delight customers