Senior Software Engineer

Who We Are:

Digible is a privately owned and operated digital marketing company founded in 2017 with a mission to bring cutting-edge solutions to the multifamily industry. We offer a full suite of digital services, alongside Fiona, our predictive analytics platform—the first of its kind.

At Digible, we take pride in our collaborative, transparent, and authentic culture. Since 2021, we’ve been recognized as a Top Workplace in Colorado and secured the #8 spot in the Best Places to Work Multifamily rankings. From our hiring process to our All Hands meetings and Town Halls, our values are at the core of everything we do.

We believe diversity fuels innovation, and we strive to create an inclusive environment where everyone can bring their authentic selves to work. If you're ready to do the best work of your career, we’d love to have you on the team!

Core Values:

Authenticity - The commitment to be steadfast and genuine with our actions and communication toward everyone we touch.
Curiosity - The belief that a deep and fundamental curiosity (the "why") in our work is vital to company innovation and evolution.
Focus - The collective will to remain completely devoted and ultimately accountable to our deliverables.
Humility - The recognition and daily practice that "we" is always greater than "I".
Happiness - The decision to prioritize passion and love for what we do above everything else.

The Role

Digible is looking for a Senior Software Engineer to join our Engineering team!

You’ll join a product pod; a small, cross-functional team of engineers, product managers, and designers, focused on building features that directly impact how our clients market their properties. Our Engineering team is evolving toward an AI-native development model, where engineers design, spec, and evaluate while AI accelerates implementation.

In this role, you’ll operate as a full-stack engineer across a modern, interconnected codebase. You’ll ship meaningful features, influence how we build, and help evolve both our systems and our engineering practices. Depending on your experience, you’ll also play a key role in guiding teammates, shaping technical direction, and accelerating adoption of AI-native workflows through hands-on collaboration.

You’ll Love This Job If You:

Enjoy owning problems end-to-end, from customer need through production

Thrive in dynamic environments where priorities shift and ambiguity is common

Are excited about AI-native development and evolving how software is built

Like working closely with Product and Design as peers, not stakeholders

Take pride in improving both systems and the way teams work

Prefer shipping and learning over waiting for perfect requirements

Enjoy mentoring, pairing, and helping other engineers grow

Want to influence technical direction without needing formal authority

Find energy in modernizing and improving real production systems

Like balancing speed with strong engineering standards and quality

What You’ll Do:

Think product-first — own outcomes, not just tickets, and ensure work delivers real customer impact

Design, build, and ship features end-to-end, from problem definition through production

Use AI as a core part of your workflow — writing specs, generating code, and critically evaluating outputs

Practice augmented coding — maintaining high standards for code quality, testing, and system design

Navigate ambiguity by prototyping, iterating, and validating solutions with real data

Contribute across the full stack (Node, TypeScript, React) in a cloud-native environment (AWS/GCP)

Improve and evolve a large, interconnected production codebase

Debug complex issues across services and make sound architectural decisions

Own production systems, including observability, reliability, deployments, and on-call responsibilities

Collaborate closely with engineers through code reviews, pairing, and shared problem solving

Transfer knowledge and best practices through hands-on work, not just documentation

Influence technical direction within your pod and contribute to broader engineering improvements

Help define and evolve engineering practices, especially around AI-native development

Step in to lead ambiguous or high-impact problems, and step back to enable others when appropriate

Leave systems and teams better than you found them

How Success Will Be Measured:

Delivery of high-quality, customer-impacting features from concept through production

Measurable improvements in team velocity, quality, or engineering practices

Positive influence on team members through mentorship, pairing, and shared standards

What You Should Have:

5–8+ years of professional software engineering experience

Strong experience building and shipping production systems using modern web technologies (TypeScript, Node, React)

Solid system design and debugging skills across distributed systems

Experience owning services end-to-end, including deployment, monitoring, and on-call support

Familiarity with cloud environments (AWS, GCP, or similar)

Strong testing discipline and understanding of test design and coverage

Ability to navigate and improve large, existing codebases

Comfort working in ambiguous, fast-moving environments with shifting priorities

Strong communication skills; able to translate technical concepts across audiences

Experience collaborating cross-functionally with Product and Design

A product mindset — starting with the customer problem and challenging assumptions

Experience using AI tools to improve development workflows and outcomes

Ability to quickly ramp up in unfamiliar systems and deliver value without heavy direction

Track record of mentoring, pairing, or elevating other engineers

Humility and curiosity; openness to learning, adapting, and sharing credit

Physical Requirements

Prolonged periods sitting at a desk and working on a computer.

Must be able to lift up to 15 pounds at times

This role is open to candidates located within the United States.

While this job description outlines the core expectations of the role, it’s not a full list of everything you’ll do at Digible. We believe in leaning in by hitting your key goals, sharing insights, and finding new ways to elevate performance, process, and client success.

Pay, Perks and More!

We are hiring for this role at different levels within our Engineering Manager track. The salary range is broad, and final compensation will be based on your experience, qualifications, and leveling.

Salary Range: $140,000 - $210,000

4-Day Work Week (32 Hour Work Week)

WFA (Work From Anywhere) 

Discretionary Bonus

We offer 3 weeks of PTO as well as Sick leave, and Bereavement. 

We offer 11 paid holidays! (not counting ones that fall on Friday!)

401(k) + Match

75% Employer Paid Health Benefits (Medical, Dental, and Vision)

Mental and Physical Wellness Reimbursement Benefit

$1000/year travel fund for employees who have been with Digible 3+ years

Paid Parental Leave

Dog-Friendly Office

Monthly Social Events

Weekly lunches and snacks for in office employees!

HEADS UP! We believe in transparency throughout our hiring process. To help us ensure a great fit, we'll ask you to share a few professional references during the hiring process who can speak to your experience and skills. It’s all part of our commitment to open, honest communication and our core values: Focus, Authenticity, Humility, Curiosity, and Happiness.