Senior Full-Stack Software Engineer

Manulife

. Own technical solution design, implementation, deployment, observability, reliability, and ongoing improvement of secure, resilient, cloud-native applications .

Posted 10/14/2026full-timeBoston • Massachusetts • United StatesSenior💰 $107,450 - $199,550 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing, implementing, and maintaining cloud-native applications using .NET, React, and Java, while ensuring compliance with security and governance standards. Proven ability to mentor engineering teams and advocate for best practices in agile and DevSecOps environments.

Highest-signal resume keywords

Cloud-Native Application DevelopmentProficiency in React and C#Kubernetes ExperienceAI-Assisted Engineering ToolsAgile and DevSecOps Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Cloud-Native Application DevelopmentProficiency in ReactProficiency in C#Java ExperienceKubernetes ExperienceTest-Driven DevelopmentContinuous IntegrationDebugging SkillsAI Agent DesignPrompt Engineering

Soft Skills

Strong Communication SkillsCollaboration SkillsMentoring ExperienceContinuous Learning MentalityAdvocacy for Positive Change

Tools & Technologies

Azure Kubernetes ServicesDevOpsGitOpsAI-Assisted Engineering ToolsDevSecOps ToolsGitHub Copilot

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceSoftware Engineering Certification

Industry Keywords

Software EngineeringAgile MethodologiesSecurity ComplianceGovernance RequirementsHuman-Centered Design

Tech Stack

Tools & technologies

AzureCloudJavaJavaScriptKubernetesReact.NET

About the role

Key responsibilities & impact

Own technical solution design, implementation, deployment, observability, reliability, and ongoing improvement of secure, resilient, cloud-native applications
Work with .NET, React, Java, JavaScript, Azure Kubernetes Services, and Application Service Environments using DevOps/GitOps
Translate requirements into solutions and software requirements
Validate solutions against architectural guardrails
Use approved AI-assisted engineering tools across discovery, design, coding, testing, documentation, troubleshooting, and knowledge sharing
Apply engineering judgment and comply with security, privacy, legal, and governance requirements
Advocate for design principles aligned with organizational strategy and architecture
Coach and mentor engineers through pairing, code reviews, technical guidance, and knowledge sharing
Create an environment for safe experimentation, learning, and increased ownership
Experiment with emerging technologies and assess their future impact
Prototype and build functionality supporting key product objectives
Apply agile, DevOps/DevSecOps, test-driven development, and continuous integration practices
Build, code, test, and maintain high-quality software
Ensure quality gates, including test coverage and security validation, are passed using DevSecOps tools
Mentor agile engineering squads and collaborate with Product Owners, Human Centered Designers, Scrum Leads, Engineers, and stakeholders

Requirements

What you’ll need

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
Excellent fixing and debugging skills
Strong communication and collaboration skills
Ability to assess requirements and provide technical solutioning options and level of effort estimates
Continuous learning mentality and advocacy for positive change
Experience using approved AI-assisted engineering tools, such as GitHub Copilot
Bachelor’s degree in computer science, Software Engineering, or a related field, or equivalent experience (preferred)
Mentoring experience (preferred)
Experience designing, building, testing, or integrating AI agents and agentic workflows using tools, APIs, enterprise data, or retrieval-augmented generation (preferred)
Familiarity with prompt engineering, AI evaluation, grounding, observability, and human-in-the-loop controls (preferred)
Experience creating reusable AI patterns, prompts, or development practices (preferred)

Benefits

Comp & perks

Flexible work environment
Learning and career growth support
Well-being and inclusion support
Health, dental, mental health, and vision benefits
Short- and long-term disability insurance
Life and AD&D insurance coverage
Adoption/surrogacy benefits
Wellness benefits
Employee/family assistance plans
Retirement savings plans, including pension and 401(k) savings plans
Global share ownership plan with employer matching contributions
Financial education and counseling resources
Up to 11 paid holidays in the U.S.
3 personal days in the U.S.
150 hours of vacation in the U.S.
40 hours of sick time in the U.S., or more where required by law
Statutory leaves of absence
Incentive programs and incentive compensation tied to business and individual performance
Reasonable accommodation during the application process