N-Power Medicine, Inc.
Accelerating Oncology Innovation
Full Stack Staff Engineer
Location
United States
Posted
122 days ago
Salary
$180K - $215K / year
Bachelor Degree7 yrs expEnglishCloudDistributed SystemsDockerETLJava ScriptKubernetesMicroservicesPostgresPythonReactSQLTerraform
Job Description
• Architect, build, and scale core applications, working from the user interface to backend services.
• Lead the design and implementation of complex, scalable, and resilient full-stack systems and features. Define and drive best practices for architecture, security, performance, and maintainability.
• Develop high-quality, efficient, and well-tested code for both front-end and back-end components using Python and JavaScript.
• Build modern and responsive user interfaces using frameworks like React and/or dynamic server-side rendering with HTMX.
• Design and build robust APIs and services, ensuring high performance and reliability.
• Optimize, interact with relational databases using SQL to ensure data integrity and efficient querying.
• Act as a technical mentor to mid-level and senior engineers, raising the bar for engineering quality across the organization.
• Partner closely with Product Managers, Designers, and other engineering teams to define requirements, break down features, and ensure successful project delivery.
• Troubleshoot production issues, and continuously improve monitoring, logging, and deployment processes.
• Other activities as assigned.
Job Requirements
- 7+ years of professional software development experience, with a significant focus on full-stack development.
- Bachelor in Computer Science preferred.
- Expert-level proficiency in Python and developing scalable backend services, APIs, and microservices.
- Strong command of JavaScript and expertise in building modern web applications using React or similar frameworks. Experience with or a strong interest in HTMX is highly valued.
- Expert knowledge of SQL for complex queries, schema design, and performance tuning of relational databases (PostgreSQL preferred).
- Proven track record of designing, deploying, and maintaining large-scale distributed systems in a cloud environment.
- Demonstrated ability to drive technical initiatives, make high-impact technical decisions, and influence the direction of a major product or service.
- Experience utilizing Databricks or similar unified data and AI platforms for data engineering, ETL pipelines, or machine learning workloads.
- Experience with containerization (e.g., Docker, Kubernetes) and Infrastructure as Code (e.g., Terraform).
- Demonstrated ability to communicate clearly and effectively, both in writing and verbally.
- Ability to work effectively in a fast-paced and dynamic environment, managing multiple priorities simultaneously.
- Generous, Curious & Humble.
Benefits
- Equity at hire
- Discretionary annual bonus based on Company performance
- Company benefits
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