Software Architect

Medium; Boston (MA); On-site; USD 120,000 - 160,000; Full time

Job summary

Medium, a Boston-based startup, seeks an experienced Software Architect to lead architecture decisions as the company scales its revolutionary AI Copilot product. This role involves defining system designs, collaborating with cross-functional teams, and mentoring engineers. Ideal candidates have over 10 years of experience, a solid understanding of distributed systems, and fluency in Python and TypeScript. Join Medium to change the landscape of design and manufacturing through cutting-edge technology.

Qualifications

• 10+ years of experience building and scaling complex software systems.
• Experience designing and implementing gRPC and Protobuf-based APIs.
• Familiarity with Kubernetes-based production environments.

Responsibilities

• Lead the architecture, technical design, and execution strategy for engineering initiatives.
• Define scalable system designs and establish engineering best practices.
• Partner with Product and Research teams to translate ideas into features.
• Mentor engineers through architecture and code reviews.
• Improve reliability, scalability, and performance of platforms.

Skills

Fluency in Python

Fluency in TypeScript

Fluency in SQL

Strong experience designing distributed systems

Excellent communication skills

Experience with cloud infrastructure (GCP/AWS)

Strong knowledge of data modeling

Familiarity with machine learning (LLMs)

Experience with Docker

Experience with Kubernetes

Education

BS/MS in Computer Science or related field

Tools

Terraform

Pulumi

CAD software

PostgreSQL

Job description

About us

We are an MIT-born, venture-backed Silicon Valley startup building a real-life 'Jarvis'—an AI Copilot for design and manufacturing. Our goal is to utilize advanced AI, physics simulation, and computer graphics to reduce costs and improve engineering productivity across all steps of the design and manufacturing process.

The Role

We are looking for an experienced Software Architect to help shape the foundation of our products as we scale. You will lead architecture decisions across our systems, collaborate closely with product and research teams, and drive the delivery of high-impact features across the stack.

This role is ideal for someone who enjoys solving complex technical problems, mentoring teams, and building scalable systems at the intersection of AI, simulation, and modern cloud infrastructure

Responsibilities

• Lead the architecture, technical design, and execution strategy for cross-functional engineering initiatives.
• Define scalable system designs and establish engineering best practices across the organization.
• Partner closely with Product and Research teams to translate ideas into production-ready features.
• Break down complex initiatives into clear technical specifications, implementation plans, and delivery milestones.
• Mentor engineers and researchers through architecture reviews, code reviews, technical documentation, and pair programming.
• Improve the reliability, scalability, observability, and performance of our platforms and services.
• Contribute hands-on to critical parts of the codebase with clean, maintainable, and well-tested code.
• Drive continuous improvements in developer experience, infrastructure, and deployment workflows.
• Help foster a strong engineering culture focused on quality, ownership, and collaboration.

What Were Looking for

• BS/MS in Computer Science, Engineering, or a related technical field.
• 10+ years of experience building and scaling complex software systems.
• Strong experience designing distributed systems and service-oriented architectures.
• Fluency in Python, TypeScript, and SQL.
• Experience designing and implementing gRPC and Protobuf-based APIs.
• Experience working with cloud infrastructure on Google Cloud Platform and/or AWS.
• Strong knowledge of data modeling, performance optimization, and scalable system design.
• Familiarity with machine learning including LLMs.
• Excellent communication and collaboration skills across technical and non-technical teams.

Bonus Points

• Experience managing infrastructure as code (Terraform, Pulumi, etc.).
• Experience working with CAD software.
• Background in computer graphics, simulation, or physics-based systems.
• Experience building or working with Domain-Specific Languages (DSLs).
• Experience deploying or integrating machine learning systems into production environments.
• Familiarity with Kubernetes-based production environments.

Our Tech Stack

• Google Cloud, AWS
• Python, TypeScript
• Protobuf, gRPC
• Next.JS, React.JS
• GitHub Actions
• Docker, Kubernetes, Spinnaker
• PostgreSQL