- 5-8 years of professional software engineering experience, including building internal tools, workflow automation or system integrations.
- High proficiency in at least one technical area, with a record of writing correct, well-tested code that others can easily understand and maintain.
- Experience efficiently debugging and profiling ambiguous problems across systems and codebases, including data pipelines and device or upload workflows.
- Experience leading design and architecture for complex projects and systems, and backing up decisions with data.
- Experience working across teams and domains, and directly with non-engineering users or external partners, to understand their workflow and ship tools they can use on their own.
- Experience coaching and mentoring less experienced engineers, and leading or coordinating the work of others as a team or tech lead. Direct management experience is not required.
- Education: Bachelor’s degree in computer science, engineering or a related field, or equivalent practical experience]
- Preferred: experience with logistics, warehouse or fulfillment systems, or with returns and reverse-logistics flows.
- Preferred: experience in a regulated environment, such as medical devices, where traceability and compliance matter.
- Traits and behaviors: curious, biased toward simple solutions, comfortable in a new team where the process is still being defined, a strong written communicator in an async environment, and empathetic to the people who rely on your tools.
The base salary range for this role is $170,000 – $190,000. Salary ranges are determined using current market compensation data for this role and adjusted based on experience, skills, and location. The base salary is one component of the total compensation package, which includes equity, PTO, and other benefits.
At Beacon, we've found that cultural and scientific impact is driven most by those that lead by example. As such, we're always seeking new contributors whose work demonstrates an avid curiosity, a bias towards simplicity, an eye for composability, a self-service mindset, and - most of all - a deep empathy towards colleagues, stakeholders, users, and patients. We believe a diverse team builds more robust systems and achieves higher impact.