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Principal Software Engineer (Digital Systems)
Formlabs · Somerville, United States
About The Role
Join Formlabs as a Principal Software Engineer, where you will be a strategic technical leader within the Systems Department. You will define and drive the technology strategy for our tech stack, partner with delivery teams to design scalable solutions, and establish engineering principles for our custom applications. You will also lead the discovery and architectural adoption of new toolsets, including AI-supported workflows.
- Define and drive the technology strategy for the tech stack, focusing on core platforms and custom applications.
- Partner with delivery teams to design scalable, secure, and robust solutions for major initiatives, such as eCommerce migration and ERP optimizations.
- Drive options and prototypes by getting hands-on with the code, building proofs-of-concept, and establishing architectural patterns.
- Consultative & Decisive: You are an excellent listener who can partner with various stakeholders to find the best solution, but you are confident enough to make firm technical decisions when consensus cannot be reached
- Integration Expertise: Proven experience designing enterprise integration patterns and middleware strategies in a complex landscape. You understand when to use an IPaaS, when to build a custom microservice, and when to use point-to-point APIs
- Cloud Native: Deep hands-on experience with GCP (or AWS/Azure) and modern deployment practices, including Docker and Kubernetes
- Platform Knowledge: Functional and technical familiarity with our core business stack: Salesforce, NetSuite, and Shopify
- Hybrid Technical Background: You possess a unique blend of core Software Engineering experience (Python, API design) and Enterprise Systems experience (understanding how ERP, CRM, and eCommerce systems transact)
- Data Proficiency: Strong working knowledge of SQL and data warehousing principles (experience with BigQuery is a strong plus)
- Background in Security architecture and Vulnerability Management
- Experience with AI tooling implementation (LLMs, RAG, Agents) in an enterprise context
- Familiarity with Data Engineering concepts (ETL/ELT, Airbyte)
- Experience with Gearset or similar DevOps tools for Salesforce
- Even if you don't check every box, but see yourself contributing, please apply
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