Software Architect

This is a fully remote position, open to applicants in Massachusetts.

📋 Description

• Oversee the architecture, technical design, and execution strategy for multidisciplinary engineering projects.

• Create scalable system designs and set engineering best practices.

• Collaborate with Product and Research teams to transform concepts into production-ready features.

• Decompose complex initiatives into technical specifications, implementation plans, and delivery timelines.

• Guide engineers and researchers through architecture evaluations, code assessments, technical documentation, and pair programming.

• Enhance platform and service reliability, scalability, observability, and performance.

• Actively contribute to critical areas of the codebase with clean, maintainable, and well-tested code.

• Promote enhancements in developer experience, infrastructure, and deployment processes.

• Cultivate an engineering culture that emphasizes quality, ownership, and teamwork.

⛳️ Requirements

• BS/MS in Computer Science, Engineering, or a related technical discipline.

• Over 10 years of experience in building and scaling complex software systems.

• Extensive experience in designing distributed systems and service-oriented architectures.

• Proficient in Python, TypeScript, and SQL.

• Experience in designing and implementing gRPC and Protobuf-based APIs.

• Familiarity with cloud infrastructure, particularly Google Cloud Platform.

• Strong understanding of data modeling, performance optimization, and scalable system design.

• Knowledge of machine learning concepts, including LLMs.

• Experience in building front-end solutions using React.JS.

• Exceptional communication and collaboration skills with both technical and non-technical teams.

• Bonus: Experience managing infrastructure as code (Terraform, Pulumi, etc.).

• Bonus: Experience working with CAD software.

• Bonus: Background in computer graphics, simulation, or physics-based systems.

• Bonus: Experience in developing or working with Domain-Specific Languages (DSLs).

• Bonus: Experience deploying or integrating machine learning systems into production settings.

• Bonus: Familiarity with Kubernetes-based production environments.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Flexible work hours and remote working options.

• Professional development opportunities and training programs.

• Generous vacation and holiday policies.