Senior Backend Engineer | Cloud-Native & Distributed

Pearson

Madison (WI)

À distance

USD 125 000 - 175 000

Plein temps

Il y a 8 jours

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Résumé du poste

Pearson is seeking an experienced Senior Software Engineer to own end-to-end backend systems on AWS with a focus on reliability and scalability. You will guide architecture, design, and production readiness, mentor teams across locations, and drive modernization while delivering new capabilities.

This role emphasizes AI-enabled engineering practices and strong collaboration with product and security teams. Remote-friendly role within the US, with opportunities to influence across the Pearson

Qualifications

  • Bachelor’s degree or equivalent professional experience in CS, SE, IT, or related field.
  • 7+ years of professional software engineering experience, with backend systems experience.
  • Technical lead or senior engineer for complex, cross‑functional initiatives.
  • Deep knowledge of backend concepts: distributed systems, concurrency, scalability, fault tolerance.
  • Strong programming in a modern typed language (Java, Kotlin, Scala, C#, Go, Rust, TS).
  • Experience designing microservices, RESTful APIs, async workflows, event-driven architectures, streaming systems, integration services.
  • AWS and cloud-native engineering experience with multiple AWS services listed in tools above.
  • Experience with relational, NoSQL, graph, and streaming data technologies.
  • Strong API design, system integration, auth, security, data protection concepts.
  • Automated testing, CI/CD, observability, and incident response.
  • Documentation, architecture diagrams, runbooks, best-practice guidance.
  • Proven ability to turn POCs into production systems.
  • Agile development with distributed teams.
  • Excellent written and verbal communication.

Responsabilités

  • Lead architecture, design, implementation, testing, deployment, and production support of complex software systems.
  • Build scalable backend services, distributed systems, event-driven apps, and streaming solutions.
  • Own major engineering initiatives from discovery to production rollout.
  • Balance new features with modernization, debt reduction, reliability, and maintenance.
  • Collaborate with product, architecture, security, and operations to translate requirements.
  • Develop and communicate technical proposals with architecture decisions and risks.
  • Lead discovery sessions, architecture reviews, and design discussions.
  • Design APIs, microservices, asynchronous workflows, and cloud-native services.
  • Evaluate existing capabilities before introducing new solutions.
  • Create PoCs and evolve them into secure, maintainable capabilities.
  • Provide technical leadership across onshore and offshore teams.
  • Mentor engineers in design reviews, troubleshooting, and best practices.
  • Establish standards for code quality, testing, observability, and operational readiness.
  • Produce clear technical docs and runbooks.
  • Drive continuous improvement across development and production practices.
  • Own production systems, including monitoring, incident response, and RCAs.
  • Operate in 24/7 production environments.
  • Stay current with cloud, distributed systems, AI, and engineering productivity.
  • Adopt AI-assisted engineering where it adds value.
  • Contribute to an AI-native engineering culture.

Connaissances

Backend engineering
Distributed systems
Event-driven
Cloud-native
AWS
Leadership
Mentoring
Technical communication

Formation

Bachelor’s degree or equivalent

Outils

AWS Lambda
Amazon ECS
Amazon EKS
Amazon API Gateway
Amazon SQS
Amazon SNS
Amazon EventBridge
Amazon MSK
AWS Step Functions
DynamoDB
RDS/Aurora
Neptune
CloudWatch
Infrastructure as Code

Description du poste

Pearson is seeking an experienced Senior Software Engineer to own end-to-end backend systems on AWS with a focus on reliability and scalability. You will guide architecture, design, and production readiness, mentor teams across locations, and drive modernization while delivering new capabilities.

This role emphasizes AI-enabled engineering practices and strong collaboration with product and security teams. Remote-friendly role within the US, with opportunities to influence across the Pearson

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