Senior Software Engineer

Pearson VUE

. Lead architecture, design, implementation, testing, deployment, operationalization, and production support of complex software systems .

Posted 10/9/2026full-timeHoboken • New Jersey • United StatesSenior💰 $125,000 - $175,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable, reliable backend systems and distributed architectures, with a strong focus on cloud-native solutions and AI-assisted engineering. Proven ability to lead technical initiatives, mentor teams, and produce comprehensive technical documentation.

Highest-signal resume keywords

Backend System DesignDistributed Systems ExpertiseAWS Cloud EngineeringMicroservices ArchitectureTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

JavaKotlinScalaC#GoRustTypeScriptMicroservicesRESTful APIsAutomated Testing

Soft Skills

Excellent CommunicationMentoringTechnical Decision-MakingCollaborationProblem-Solving

Tools & Technologies

AWS ServicesInfrastructure as CodeContainerizationEvent-Driven ArchitecturesObservability Tools

Industry Keywords

Software EngineeringAgile MethodologiesTechnical DocumentationProduction SupportAI Development Lifecycle

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsJavaKotlinMicroservicesNoSQLRustScalaTypeScriptGo

About the role

Key responsibilities & impact

Lead architecture, design, implementation, testing, deployment, operationalization, and production support of complex software systems
Build scalable, reliable, secure, and highly available backend services, distributed systems, event-driven applications, and stream-processing solutions
Own engineering initiatives from technical discovery through delivery, production rollout, and ongoing support
Balance new product capabilities with modernization, technical debt reduction, reliability improvements, and maintenance
Partner with product, architecture, platform, security, operations, development, and solution teams
Develop and communicate technical proposals covering architecture, implementation decisions, outcomes, dependencies, risks, and trade-offs
Lead technical discovery sessions, architecture reviews, system design discussions, and implementation planning
Design APIs, microservices, asynchronous workflows, streaming applications, and cloud-native services
Evaluate existing platform capabilities, shared services, and APIs before introducing new solutions
Create proof-of-concept solutions and evolve successful prototypes into production-ready capabilities
Provide technical leadership and guidance to onshore and offshore engineering teams
Mentor engineers through design guidance, code reviews, troubleshooting, and knowledge sharing
Establish standards for code quality, automated testing, observability, resiliency, security, documentation, and operational readiness
Produce technical documentation, system designs, architecture decisions, workflows, runbooks, and engineering standards
Drive continuous improvement across development, delivery, deployment, maintenance, and production support
Own production systems, including monitoring, incident response, root-cause analysis, performance optimization, and corrective actions
Operate effectively in a 24/7 production environment
Stay current with cloud computing, distributed systems, software architecture, AI, and engineering productivity
Evaluate and adopt AI-assisted and agentic engineering capabilities where beneficial
Apply AI capabilities across discovery, design, development, testing, documentation, deployment, and operational support

Requirements

What you’ll need

Bachelor’s degree or equivalent professional experience in Computer Science, Software Engineering, Information Technology, or a related discipline
7+ years of professional software engineering experience
Experience designing, developing, and operating backend systems
Experience serving as a technical lead or senior engineer for complex, cross-functional software initiatives
Deep knowledge of distributed systems, concurrency, scalability, fault tolerance, resiliency, consistency, event processing, and performance
Strong programming experience with at least one modern, strongly typed language, such as Java, Kotlin, Scala, C#, Go, Rust, or TypeScript
Experience with microservices, RESTful APIs, asynchronous workflows, event-driven architectures, streaming systems, and integration services
Strong AWS and cloud-native engineering experience, including relevant AWS services and Infrastructure as Code
Experience with serverless, containerized, microservice-based, and event-driven architectures
Experience with relational, NoSQL, graph, and streaming data technologies
Understanding of API design, system integration, authentication, authorization, application security, and data protection
Experience with automated testing, continuous integration, and continuous delivery
Experience implementing observability with structured logging, metrics, distributed tracing, dashboards, and alerting
Experience diagnosing production issues, conducting root-cause analysis, and improving distributed-system reliability
Ability to create technical documentation, architecture diagrams, design proposals, operational runbooks, and engineering guidance
Experience building proof-of-concept solutions and evolving them into production-ready systems
Experience maintaining and modernizing mature software platforms
Experience working in Agile environments and coordinating delivery across globally distributed teams
Ability to independently manage work, make technical decisions, navigate uncertainty, and drive initiatives to completion
Excellent written and verbal communication skills
Ability to use AI-assisted engineering tools
Familiarity with agentic AI technologies and the AI Development Lifecycle

Benefits

Comp & perks

Annual incentive program
Benefits offered by Pearson (details linked in the posting)