Senior Full-Stack Engineer (Python / Django)

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Groundbreaking SaaS Data Analytics platform for Healthcare Providers / Meaningful equity!

This Jobot Job is hosted by: Craig Rosecrans
Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume.
Salary: $80,000 - $165,000 per year

A bit about us:

We are partnering with a rapidly growing AI-driven SaaS company that is transforming how organizations leverage data, analytics, and automation to drive business outcomes. Backed by strong recurring revenue growth and an award-winning product, the company is seeking a Senior Software Engineer to help scale its platform and contribute to key technical and product decisions.

This is a highly visible role offering significant influence over architecture, product direction, engineering standards, and future hiring decisions. The ideal candidate enjoys working across the entire technology stack, thrives in fast-moving environments, and wants to build products that solve meaningful real-world problems at scale.

Why join us?
Competitive Base Salary
Excellent health, dental and vision coverage
Equity in high-growth start-up (not in lieu of a salary)
Flexible Hours
Very generous PTO
401k plan with 4% match
Small team, autonomy
Many more great perks!

Job Details

Responsibilities

Design, develop, test, deploy, and support software across the full technology stack

Build and maintain APIs, microservices, backend services, and data pipelines

Contribute to system architecture, infrastructure, and database design decisions

Partner closely with Product, Sales, Customer Success, and Leadership teams

Review code and promote engineering best practices across the organization

Support machine learning initiatives through experimentation, testing, and model iteration

Help shape the future direction of the engineering organization through technical leadership and mentorship

Qualifications

5+ years of professional software engineering experience

Strong full-stack development experience

Experience building and supporting distributed systems, APIs, microservices, and scalable cloud-based applications

Hands-on experience with modern cloud infrastructure and deployment practices

Strong problem-solving skills and meticulous attention to detail

Excellent communication skills and ability to collaborate across technical and non-technical teams

Experience with or willingness to work extensively in technologies such as Python, Django, Node.js, JavaScript frameworks, AWS, relational databases, and event-driven architectures

AI-Assisted Development Requirements

This organization embraces AI as a core part of the software development lifecycle. Engineers are expected to leverage modern AI coding tools to accelerate development, improve code quality, enhance testing, and increase overall productivity.

The ideal candidate already uses tools such as Claude, ChatGPT, GitHub Copilot, Cursor, or similar AI-powered development platforms on a daily basis. Experience using Claude specifically for code generation, refactoring, debugging, architecture discussions, documentation, test creation, and problem solving is highly valued.

Candidates who view AI as an essential engineering partner rather than an occasional experiment will be most successful in this environment. Curiosity, adaptability, and enthusiasm for AI-assisted software development are considered critical attributes for this role.

Preferred Experience

Machine Learning and AI frameworks

Large-scale data processing and analytics platforms

Telephony, messaging, or communication APIs

Marketing technology integrations

HIPAA-compliant applications and healthcare technology environments

Interested in hearing more? Easy Apply now by clicking the "Apply" button.

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Remember: Always have at least 5 questions prepared for the interview. If you do not, you run the risk of looking unprepared.

What does success look like in this role, and how is it measured?

Why ask this? You want to ensure you have a clear understanding of expectations before accepting the role. Knowing how success is measured helps you hit the ground running and avoid surprises about performance evaluations. It also signals to the employer that you're results-driven.

Can you describe the team dynamic and the company culture?

Why ask this? Skills and experience matter, but if the work environment isn’t a good fit, you won’t be happy or productive. This question helps you gauge whether the company values collaboration, how teams interact, and whether the culture aligns with your work style and values.

What are the biggest challenges facing the person in this role right now?

Why ask this? Every job has challenges, and it’s better to know them upfront. This helps you assess whether the role is a good fit for your strengths and whether the company is realistic about its expectations. If they hesitate to answer, it could be a red flag.

How does the company support work-life balance and employee well-being??

Why ask this? Burnout is real, and some companies expect employees to sacrifice personal time for the job. By asking this, you’ll get a sense of how they value work-life balance, flexibility, and well-being—things that are crucial for job satisfaction and long-term success.

These questions help you make an informed decision while also showing your professionalism and strategic thinking!

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