Senior Software Engineer at Pearson

Austin, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

28 Apr, 26

Salary

140000.0

Posted On

28 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Full Stack Development, Cloud Solutions, Data Science, Psychometrics, Agile Methodologies, LLM Codegen, AI Development, AWS, Go, Postgres, TypeScript, Vue.js, R, D3, GitHub, CI/CD

Industry

education

Description

Description: This Software Engineer position is responsible for analysis, design, implementation, unit testing, and quality engineering to produce and maintain high-quality software solutions. The role aligns to industry-level titles such as Full stack Engineer, Full stack Developer" 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 Current Tech Stack AWS hosted applications Go, Postgres, TypeScript, Vue.js, PrimeVue, D3 R and R data science libraries Github and Github-driven CI/CD Heavily LLM-driven development 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. The full-time salary range is between $120,000 - $140,000. This position is eligible to participate in an annual incentive program, and information on benefits offered is here. Applications will be accepted through 28th January 2026. This window may be extended depending on business needs.

Responsibilities

The Senior Software Engineer will develop and support a new web application stack while leveraging LLM-codegen processes and agent-driven AI architectures. The role involves working closely with customers to adapt tools to their needs and ensuring high-quality software solutions.