Senior Full-Stack Engineer for Construction Platform

Reframe Systems Inc

Andover (MA)

On-site

USD 140,000 - 190,000

Full time

14 days+

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Job summary

Reframe Systems Inc. is seeking a Senior Software Engineer to rethink how a construction project is managed from inception to build. You will own the data model, drive a single source of truth, and collaborate across sales, estimation, procurement, and factory teams to accelerate delivery.

You will work closely with the design automation platform and factory software teams, turning unstructured processes into usable software that improves predictability and reduces cycle times across projects.

Qualifications

Bachelor's in computer science or related field, or equivalent experience.
7+ years building production software.
Strong full-stack engineering with Python and TypeScript, including automated testing, CI/CD, monitoring and alerting, and root cause analysis.
Experience gathering your own requirements and owning problems end to end, working directly with users.
Experience building internal tools for non-technical operators, with at least one adopted tool.
Comfort with data modeling, pipelines, and warehouse work, without needing to be a pure data engineer.
Experience with cloud-native architecture and containerized deployments.
Experience using coding agents to prototype, reach a solution quickly, and augment development.
Comfort shipping across organizational boundaries, into systems and teams you don't control.

Responsibilities

Own how a project flows through our systems, from the first customer conversation through to what the factory builds, including every handoff in between.
Design the underlying data model and system of record, so that each function works from one authoritative representation of a project.
Build full-stack applications that turn manual, document-driven processes into software that operations teams run their day on.
Define the data contracts and interfaces between business functions, and keep them clear enough that engineers and agents can both work against them.
Apply AI to the manual and unstructured parts of the process, and build it to drive value in production not just demo well.
Partner with other software teams to close the loop between what we plan and what we actually produce, so that real operating data improves the next project.
Set the technical direction for how these systems evolve, including where we build and where we buy.
Partner directly with the teams who will use what you build to find the highest‑leverage problem to solve next, then cut scope until it ships.
Mentor and grow other team members; this is an opportunity to shape the software engineering culture in a small, agile team.