Senior Full-Stack Engineer: AI-Powered Cloud Solutions

Manulife/John Hancock

Boston (MA)

Hybrid

USD 107,000 - 200,000

Full time

3 days ago
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Benefits offered by this job

Health insurance
Dental insurance
Vision insurance
401(k) plan
Paid time off
Flexibility and well-being programs

Job summary

Manulife/John Hancock in Boston is seeking a software engineer to join our engineering-first culture. You will own design, implementation, deployment, observability, and reliability of cloud-native applications, using .NET, React, Java, and modern Azure-based platforms.

You will mentor agile squads, collaborate with Product Owners and designers, and apply AI-assisted tools to improve productivity while ensuring security and governance.

Qualifications

  • Minimum of 7+ years of experience as a Software Engineer.
  • Proficiency in React, C# and/or Java.
  • Experience with Kubernetes.
  • Strong understanding of front-end and back-end development principles.
  • Experience using AI-assisted engineering tools such as GitHub Copilot.

Responsibilities

  • Own technical solution design, implementation, deployment, observability, reliability, and ongoing improvement of cloud-native applications.
  • Work with the latest tech stack including .NET, React, Java, JavaScript on Azure Kubernetes Services and DevOps/GitOps.
  • Coach and mentor engineers through pairing, code reviews, and knowledge sharing.
  • Prototype and build new functionality to deliver on key product objectives with strong architectural design.

Skills

React
C#
Java
Kubernetes

Education

Bachelor's degree in computer science, software engineering, or related field

Tools

Azure
GitHub Copilot
Azure Kubernetes Services

Job description

Manulife/John Hancock in Boston is seeking a software engineer to join our engineering-first culture. You will own design, implementation, deployment, observability, and reliability of cloud-native applications, using .NET, React, Java, and modern Azure-based platforms.

You will mentor agile squads, collaborate with Product Owners and designers, and apply AI-assisted tools to improve productivity while ensuring security and governance.

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