Backend engineer building scalable AI - native cybersecurity infrastructure for Doppel. Developing software that detects and disrupts phishing, impersonation, fraud, and other digital threats.
About the role
- Engineering Lead for Sun Life's innovation team, focusing on AI platform and scaling technology. Hands-on leadership role with emphasis on building and mentoring engineering team.
Responsibilities
- Write production-quality code daily across backend, APIs, and AI-enabled services.
- Make fast, pragmatic architecture decisions that prioritize learning and delivery while keeping future scale in mind.
- Design and evolve Sun Life’s agentic AI platform, including orchestration, integration layers, APIs, and guardrails.
- Evaluate and experiment with new technologies, AI models, and vendor solutions.
- Hire, onboard, mentor, and develop a small, high-caliber engineering team (AI, backend, full-stack).
- Lead primarily through contribution and example, not process or hierarchy.
- Establish engineering practices, standards, and ways of working that enable speed without sacrificing quality.
- Foster a culture of experimentation, ownership, and continuous learning.
- Build with security, reliability, and compliance awareness appropriate for a regulated financial institution.
- Partner pragmatically with InfoSec, Legal, Compliance, and Data Governance as solutions mature.
Requirements
- 10+ years of hands-on engineering experience, with recent, demonstrable coding work in a 0 - 1 environment.
- Experience acting as a software engineering leader or founder-level engineer on complex digital products or platforms.
- Strong fluency in modern cloud architecture (AWS, Azure, or GCP) and DevOps practices (CI/CD, containers, infrastructure as code).
- Proven ability to operate in ambiguity, make trade-offs, and ship imperfect solutions quickly.
- Ability to grow from individual contributor to team builder—comfortable hiring, mentoring, and raising the bar for others.
- Startup or early-stage product experience is a significant asset.
- Nice to have: Experience with AI/ML systems → building with LLMs, prompt engineering, or agentic architectures.
Benefits
- Flexible hybrid work model.
- Pension, stock and savings programs to help build and enhance your future financial security.
- Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives.
- A friendly, collaborative and inclusive culture.
- Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.
- Competitive salary and bonus structure influenced by market range data.
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