RAPSYS TECHNOLOGIES PTE. LTD. is hiring for a Senior Software Engineer - Nodejs/Typescript internship — a 12-month, on-site Software Engineering role based in Singapore. It is an unpaid internship. It is open to university students, typically in Year 2–4. Applicants with experience in Workflow, PostgreSQL, Azure, NodeJS, and AWS are a strong fit.
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About this role
* Partner with software engineers and other functions to understand objectives for development delivery efficiency and system resiliency, helping them articulate how specific technical capabilities and best practices will achieve key business outcomes. * Conduct comprehensive assessments of Agency's existing technical landscapes, workflows, and processes to identify inefficiencies, pain points, and gaps that hinder their goals. * Collaborate with Agency to identify the most relevant practices (e.g., CI/CD, SRE) for using Core Engineering Products in achieving their goals, considering unique needs and industry best practices. * Develop transition roadmaps that outline a clear path from the current state to the desired future state, including the adoption of recommended tools and processes. * Explain complex concepts clearly to various Agency stakeholders, providing actionable recommendations for improving workflows and addressing their challenges, and providing supporting diagrams as needed. * Support Agency with proof of concept (POC) initiatives to validate solutions, offering hands-on assistance during early implementation phases to enable smooth transitions to full-scale rollouts. * Collaborate closely with fellow Software Engineers to exchange insights, share tools and scripts, and foster a collaborative environment that supports continuous improvement and knowledge sharing. What we are looking for: * 6+ years in an individual contributor software engineering role. * Experience with NodeJs with TypeScript. * Experience with one or more of Cloud Service Providers such as AWS, Azure, or GCP. * Experience building cron jobs and scripts to run batchjobs. * Experience with streaming data. * Strong track record of successful large-scale partner solution implementations, preferably in complex enterprise environments
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