Software Engineer
$130,000–$170,000 year
HybridNew York, United States
Job Summary
Build, maintain, and improve internal tools, data workflows, and operational web applications using Python, SQL, and Git-based development. Develop services, automation scripts, and AI-enabled tools including chatbots and agent workflows with integrations via MCP, RAG, and secure APIs. Design data ingestion, transformation, and validation pipelines while debugging issues across code, databases, and deployment environments. Maintain backend APIs, frontend interfaces, and observability systems to enhance reliability and test coverage. Collaborate with business users and engineers to clarify requirements and deliver practical software solutions.
Required Qualifications
- Degree in Computer Science, Engineering, Mathematics, Physics, or a related technical field, or equivalent practical experience.
- 3–5 years of professional software engineering experience.
- Strong programming skills, preferably in Python.
- Solid SQL skills and understanding of relational databases.
- Experience working with production or business-critical codebases.
- Experience with data workflows such as ETL, reporting, reconciliation, validation, or operational data processing.
- Familiarity with web application development, backend APIs, and frontend/backend integration.
- Comfortable working in Linux/Unix environments and using Git-based workflows.
- Strong debugging and problem-solving skills across code, data, configuration, and environment issues.
- Ability to work with ambiguous requirements, identify assumptions, ask targeted questions, and propose practical plans.
- Strong ownership mindset and ability to drive well-scoped tasks to completion once context and direction are clear.
- Clear communication skills, including concise status updates and early blocker reporting.
- Ability to use AI coding tools thoughtfully while understanding, testing, and taking responsibility for the final output.
Desired Qualifications
- Experience with Vue.js or similar frontend frameworks.
- Experience building internal tools, admin portals, dashboards, workflow applications, or reporting systems.
- Familiarity with Docker, Kubernetes, deployment configuration, service logs, or operational troubleshooting.
- Experience with GitLab CI/CD or similar automation systems.
- Experience with Python web frameworks such as Django, Flask, or FastAPI.
- Experience with database schemas, migrations, indexes, or data validation logic.
- Experience with observability tools, metrics, dashboards, alerts, or production monitoring.
- Interest in improving internal platforms, automating manual workflows, and reducing operational burden.
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