Software Engineer III

Pearson

Concord (NH)

On-site

USD 100,000 - 130,000

Full time

12 days ago

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Job summary

Pearson is seeking a Software Engineer to analyze, design, implement, test, and ensure quality of software solutions. This role offers a chance to build a new platform using a fresh technology stack from the ground up, demanding rapid learning and adaptability.

Responsibilities include end-to-end feature ownership, collaboration with customers, and applying AI, R data science, and AWS cloud solutions to deliver robust, secure applications with best practices.

Qualifications

  • Bachelor's degree in Computer Science, MIS, or equivalent technology discipline, or equivalent on-the-job training.
  • 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.

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.

Skills

Full-stack dev
Cloud computing
R data science
AI codegen

Education

Bachelor's degree in CS/MIS or equivalent
Willingness to learn new tech/domains
3-5 years full-stack experience

Tools

AWS
Github CI/CD
R libraries
Agentic AI tools

Job description

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.

You will:

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

Required Education and Experience

  • 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
  • Some background in statistics is not required but is a big plus
  • AWS hosted applications
  • R and R data science libraries
  • Github and Github-driven CI/CD

Desired Experience

  • 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

Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. As required by the California, Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York State, New York City, Vermont, Washington State, and Washington DC laws, the pay range for this position is as follows:

The full-time salary range for this position is between $100,000 - $130,000. This position is eligible to participate in an annual incentive program, and information on benefits offered ishere.

Who we are:

At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson.

Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing TalentExperienceGlobalTeam@grp.pearson.com.

Job Family: TECHNOLOGY
Organization: Assessment & Qualifications
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