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Pearson VUE

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Staff Software Engineer

Full-stack EngineerSoftware EngineerFull TimeRemoteLeadTeam 1,001-5,000Since 1994H1B No SponsorCompany SiteLinkedIn

Location

India

Posted

2 days ago

Salary

0

Seniority

Lead

Postgraduate Degree10 yrs expEnglishAWSAzureCloudDistributed SystemsgRPCMicroservicesSDLC

Job Description

Staff Software Engineer

Pearson VUE

• Own the design and evolution of scalable, secure, and high-performing web application architectures • Lead complex feature delivery across systems, ensuring alignment with long-term platform strategy • Act as a technical advisor to engineering and product leadership on design trade-offs and implementation approaches • Drive engineering best practices across code quality, testing, observability, and system reliability • Champion AI-powered development by actively leveraging tools (e.g., Cursor, Claude Code, LLM platforms) to enhance productivity • Define standards and best practices for AI-assisted coding, test generation, and design-to-code workflows • Lead adoption of generative AI and LLM integrations into enterprise applications and engineering processes • Partner with teams to operationalize AI-driven workflows and improve development efficiency at scale • Design, develop, and maintain full-stack web applications with a focus on performance, usability, and reliability • Contribute high-quality, production-grade code across frontend, backend, and APIs • Drive adoption of modern engineering practices including microservices, cloud-native development, and CI/CD • Mentor senior and mid-level engineers, fostering technical growth and engineering rigor • Conduct in-depth code reviews, providing actionable and constructive feedback • Influence engineering culture by promoting collaboration, ownership, and continuous improvement • Lead by example in driving accountability, technical excellence, and innovation

Job Requirements

  • 10+ years of experience in software engineering with a strong focus on web and distributed systems
  • Demonstrated success in leading complex technical initiatives and delivering at scale
  • Proven track record mentoring engineers and elevating team performance
  • Experience driving adoption of new technologies and engineering transformations (preferably AI-driven)
  • Experience operating in iterative, product-driven environments
  • Advanced expertise in software design, system architecture, and distributed systems
  • Strong experience in API design and management (REST/gRPC, versioning, scalability)
  • Deep understanding of cloud platforms (Azure or AWS) and cloud-native application design
  • Solid foundation in application security, data protection, and secure coding practices
  • Strong problem-solving and debugging skills across large-scale systems
  • Hands-on experience integrating LLMs, generative AI, and AI APIs (e.g., OpenAI, Anthropic, Azure OpenAI, AWS Bedrock)
  • Experience applying AI across SDLC: code generation, testing, documentation, and workflow automation
  • Understanding of ML concepts and AI adoption strategies across engineering teams
  • Proven ability to influence without authority and drive alignment across teams
  • Strong communication skills, with the ability to translate complex technical concepts to diverse stakeholders
  • High adaptability in fast-moving, ambiguous environments
  • Commitment to ethical engineering practices and responsible AI use.

Benefits

  • Remote

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