Software Engineering Architect

Verisk Analytics•Boston, MA

50d

About The Position

We are seeking an experienced Cloud Native AWS Software Architect to lead the design and development of cutting-edge cloud-hosted solutions. The ideal candidate will have deep expertise in AWS, microservices architecture, SaaS product development, and modern web application frameworks. This role requires a hands-on leader who can drive architectural decisions, mentor engineering teams, and ensure the delivery of secure, scalable, and high-performance cloud applications.

Requirements

Bachelor’s degree in computer science, Software Engineering, Electrical Engineering, Mathematics, or a related field; Master’s preferred.
8+ years of progressive experience in software engineering, with 2+ years in an AWS cloud-native architect role.
Proven experience designing and implementing AWS-native SaaS products and complex full-stack applications.
Strong expertise in .NET Core, C#, ASP.NET Core, and modern JavaScript frameworks (Angular, React, TypeScript).
Experience with serverless architectures (AWS Lambda, Step Functions, API Gateway) and microservices deployed on ECS/EKS.
Proficiency with SQL and database programming for both RDBMS (SQL Server, PostgreSQL, MySQL) and AWS data solutions (Redshift, Aurora, DynamoDB).
Experience designing secure, multi-tenant SaaS architectures.
Solid understanding of Agile/Scrum methodologies and experience working in cross-functional product teams.
Familiarity with infrastructure-as-code tools such as AWS CloudFormation, Terraform, or CDK.
Working knowledge of CI/CD pipelines with GitHub Actions, AWS Code Pipeline, or similar tools.
Experience implementing application monitoring and observability.
Strong problem-solving skills, excellent communication abilities, and the ability to collaborate across multiple teams.

Nice To Haves

Experience with event-driven architectures using AWS SNS, SQS, or Kafka.
Understanding of cost optimization strategies in AWS environments.
Experience integrating with third-party APIs and services.
Knowledge of insurance industry platforms and regulatory compliance considerations.
Hands-on experience with containerization and orchestration (Docker, Kubernetes).

Responsibilities

Lead the architecture, design, and development of cloud-hosted web applications for the insurance industry — from network infrastructure design to user experience, database schema, data models, workflow automation, and end-to-end integration testing.
Define and own architectural standards, patterns, and best practices for AWS-native SaaS products.
Collaborate closely with product management, business stakeholders, and cross-functional teams to translate requirements into technical solutions.
Drive domain-driven designs for data models, APIs, and data products.
Architect and implement microservices using modern frameworks and container orchestration platforms (Docker, Kubernetes, ECS, EKS).
Oversee CI/CD pipelines and DevOps processes for rapid, reliable, and secure deployments.
Design and implement RESTful and GraphQL APIs with a focus on performance and scalability.
Develop functional, responsive, and accessible front-end interfaces using HTML5, CSS/SCSS, TypeScript, Angular/React, and modern UI component libraries (e.g., Kendo UI, Infragistics).
Ensure security best practices in application architecture, including IAM policies, encryption, API security, and compliance with industry standards (e.g., ISO 27001, SOC 2).
Champion cloud-native principles and serverless architectures using AWS Lambda, API Gateway, DynamoDB, SQS, SNS, and other AWS managed services.
Work with AWS data services, including Redshift, RDS, Aurora, and S3, for building scalable data-driven applications.
Lead proof-of-concept initiatives to evaluate emerging AWS services and architectural approaches.
Mentor and guide development teams in architecture decisions, code quality, and performance optimization.
Support UI automation testing alongside development activities to ensure high-quality deliverables.
Collaborate with QA and DevOps teams for automated testing, monitoring, and application observability using tools like CloudWatch, X-Ray, and Open Telemetry.