Software Engineer

Pearson
1d$120,000 - $140,000

About The Position

This Software Engineer position is responsible for analysis, design, implementation, unit testing, and quality engineering to produce and maintain high-quality software solutions. This is an opportunity to develop a new platform, using a new technology stack and new processes, from the early stages. This is a role that requires rapid learning of new tools and technologies: new languages, new domains (data science, collaboration with psychometrics), and new processes (LLM codegen, agentic AI development). The ideal engineer is willing to take high-level ownership of functionality, filling in the gaps and eliciting requirements without fully relying on a business analyst, and executing quality processes without fully relying on a QA engineer. The ideal candidate is willing to adapt to and adopt new ways of working, excited about new challenges, and able to show past work and successes that relate to the role.

Requirements

  • Bachelor’s degree in computer science, MIS, or equivalent technology discipline, or equivalent on-the-job training
  • A willingness to learn new technologies and new domains (R, data science, agentic AI cloud applications)
  • 3-5 years relevant full-stack software development experience
  • Experience with development, maintenance, and testing of software, following industry best practices
  • Experience with highly available, highly concurrent cloud-based Web applications

Nice To Haves

  • Some background in statistics is not required but is a big plus
  • Experience working in an Agile environment
  • Desire to expand knowledge in many development languages, applications, and tools
  • Able to think technically and analytically
  • Ability to understand the philosophy of architecture
  • Must assimilate information, distill knowledge, apply experience and provide solution alternatives and recommendations
  • Must have strong time management skills - including the ability to work well under pressure, plan, set priorities, adapt to change, and meet established timelines
  • Must be a self-starter and detail-oriented
  • Effective written and verbal communication skills
  • Proven ability to work and excel within a team

Responsibilities

  • Develop and support a new web application stack
  • Leverage and refine LLM-codegen processes to balance agility and quality
  • Develop and leverage agent-driven AI architectures
  • Work closely with customers and adapt tools to their needs
  • Develop psychometrics and data science-focused tools in R
  • Operate, extend and create cloud-based solutions in AWS
  • Develop and maintain code using best practices for maintainability, performance, security, and verifiability
  • Possess the ability to quickly learn new processes, tools, and business domains
  • Work with engineering leadership to deliver timely, robust software adhering to best practices
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