Senior Software Engineer (Integration team at EdTech product for US market)
Summary
Senior full-stack engineer building the data-integrations ecosystem (imports, validation, transformations, exports across 100+ school information systems) for a US K-12 school scheduling platform. Stack centers on Python/FastAPI, MongoDB, RabbitMQ/Temporal, and AWS, with LLM-assisted parser development and direct customer collaboration.
About Company
Wise Engineering is a software company where 90% of client relationships turn into long-term partnerships, and 70% of the team are senior-level engineers. We're hiring for one of our client products.
About the Project
A secondary school scheduling platform built by former educators who lived the problem firsthand. The school schedule is one of the most consequential decisions a district makes - it shapes how staff and students spend their time, what positions are needed, and how resources are allocated across schools. With AI-powered optimization and hands-on support, the platform helps school and district leaders build schedules that reflect their academic, staffing, and budget priorities - while saving hundreds of hours in the process.
About the Role
Senior Software Engineer responsible for full-stack development of the platform's data integrations ecosystem. You will build the product and infrastructure that enables schools and districts to send and receive data to the scheduling application, and participate in limited direct customer support to stay close to real integration challenges.
Strong English is a hard requirement - you'll work directly with non-technical
stakeholders on the customer side.
Responsibilities:
Build and maintain data pipelines - import, validation, transformation, and export of customer data across 100+ school information systems
Work directly with customers to enable and troubleshoot their data integrations
Design and deliver tools and infrastructure that make the integration process more reliable and scalable
Own key architectural decisions in your product area
Introduce and apply AI-assisted approaches to parser and exporter development
Own production availability - observability, incident response, and fixing what you ship
Mentor engineers on the integration team and contribute to cross-team knowledge sharing
Requirements
Technical Skills
3–5+ years of experience in backend or integration-heavy domains
Hands-on experience with data pipelines, parsers, or system integrations (SFTP, APIs, custom formats)
Proficiency in Python and async patterns
English C1 - you'll communicate directly with customers, often non-technical ones
Strong ownership mindset - comfortable in a fast-moving startup with limited hand-holding
Experience with LLM/generative AI in a production or development context - building with it, not just using Copilot
Prior EdTech experience is a plus
Experience & Soft Skills
English C1 or higher - customer-facing role requiring clear communication with non-technical stakeholders!
Strong problem-solving skills with the ability to navigate ambiguous, loosely defined integration requirements
Proactive communicator - keeps stakeholders informed, surfaces blockers early, doesn't wait to be asked
Comfortable working collaboratively across product, engineering, and customer success teams
Tech Stack: Python, FastAPI, Pydantic v2, MongoDB, Motor, Dramatiq, RabbitMQ, Temporal, AWS (ECS Fargate, Batch, Lambda, S3, SQS), AWS Bedrock, Gurobi / OR-Tools, dbt, DuckDB / MotherDuck, pytest, GitHub Actions, Docker, Terraform, Terragrunt, Helm, Kubernetes (EKS + ArgoCD), Datadog