Engineering and Architecture Lead

Everly is focused on transforming the life insurance industry by providing consumer-first insurance solutions. They are seeking a hands-on Engineering and Architecture Lead to drive the design and delivery of AI-powered insurance solutions, leading a cross-functional engineering team and collaborating with various departments to ensure innovative technology solutions.

Responsibilities:

• Define and maintain enterprise architecture standards and reference architectures
• Govern solution design reviews, ensuring scalability, security, and maintainability
• Lead and mentor engineering team to deliver high-quality, resilient solutions
• Drive engineering best practices including DevOps, CI/CD, cloud-native development, test automation, AI enablement and establish measurable engineering KPIs
• Lead by doing: design, develop & review performant, secure code using modern tech stacks
• Oversee emerging technologies and tool evaluations for architectural and business fit
• Chair the Architecture Review Board (ARB) and technology governance forums
• Partner with data scientists and product teams to operationalize AI models
• Ensure compliance with data privacy, cybersecurity, and regulatory requirements (GDPR, SOC2, etc.)
• Collaborate with external partners to ensure technical feasibility and optimized delivery
• Foster a culture of innovation, collaboration, and continuous improvement
• Balance innovation and execution, with a strong bias for measurable business outcomes

Requirements:

• Bachelor's or master's degree in computer science, engineering, or a related field
• 10+ years of experience in software engineering, with 5+ years in architectural leadership
• Experience in delivering scalable direct-to-consumer insurance platforms and AI-driven personalization systems
• Expertise in cloud platforms (AWS/Azure), container orchestration, microservices, APIs, event-driven systems and serverless architectures
• Hands-on understanding of CI/CD, DevSecOps, and Infrastructure-as-Code practices (Terraform, Docker, Kubernetes, GitLab)
• Practical experience with AI/ML pipelines, data engineering, and MLOps frameworks
• Excellent leadership, collaboration, stakeholder management and communication skills
• Experience working in agile, product-centric organizations
• Expertise in technologies like Next.js, Vercel, React, Python, Prismic, GitLab, Headless CMS, Auth0, Redis, AWS Services (SNS, SQS, Data Pipeline, EC2, Lambda, EBS, S3, CloudFront, Route53, ELB, KMS, CloudTrail, API Gateway), Snowflake, and more
• Background in Insurtech, FinTech, or regulated financial services preferred
• Certifications such as TOGAF, AWS Certified Architect, or Azure Solutions Architect or AI/ML Specializations are advantageous