Senior Software and Integrations Engineer

Propeller Industries•New York, NY

68d•$150,000 - $180,000•Remote

About The Position

Propeller is hiring a Senior Software and Integrations Engineer for its IT Services and Systems department. The role is remote in the United States, with in-person meetings as needed, and reports to Engineering Leadership. The position spans data engineering, AI, application development, and DevOps. The engineer is expected to have deep strength in two or three domains and contribute across the others, taking technical ownership of assigned solutions and delivering quality work within architecture and standards set by leadership. The role builds and maintains data pipelines and models, develops AI features using the Anthropic Claude API, delivers full-stack applications and APIs, and works with Azure infrastructure and system integrations. The engineer translates requirements into technical designs, implements and tests solutions, builds integrations, troubleshoots issues, reviews teammates’ work, and contributes to shared standards, tooling, and documentation. The role uses AI tools in day-to-day work to improve efficiency and automate repetitive tasks.

Requirements

Bachelor’s degree in Computer Science or a similar field.
Deep strength in two or three of the four domains: data engineering, AI, application development, and DevOps; comfortable contributing in the others and willing to grow.
Demonstrated AI fluency, including current use of AI tools in personal workflow and ability to explain how they affect work output.
Ability to work effectively with limited supervision and execute independently within leadership’s direction, architecture, and standards.
Strong peer collaboration and review skills, including sharing knowledge across the team.
Sound independent technical decision-making and judgment about when to escalate.
Ability to raise strategy, budget/cost, and cross-functional decisions to leadership rather than owning them.

Responsibilities

Take technical ownership of assigned solutions and be accountable for quality and delivery.
Translate requirements into technical designs, approaches, and plans.
Implement full-stack solutions from data model to API to interface.
Own unit, integration, and end-to-end testing as appropriate, and validate solutions against requirements before release.
Design and build integrations connecting systems within the architecture owned by leadership.
Peer-review teammates’ work through code reviews, design feedback, and constructive critique.
Contribute to shared tooling, engineering standards, and documentation.
Track work and changes in the team’s shared system and keep work visible and documented.
Use AI tools to work efficiently and automate repetitive work.
Build and maintain data pipelines and models; manage schema changes, migrations, backups, data quality, reconciliation, and integrity.
Build AI features into the platform using the Anthropic Claude API.
Work with Azure infrastructure, Microsoft Graph and SharePoint integrations, and Redis caching.
Troubleshoot and resolve issues across applications, integrations, and infrastructure.
Follow and contribute to the change-control process, including proposing, reviewing, tracking, and releasing changes.