Senior Software Engineer

About the role

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. 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

Responsibilities

• 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
• Familiari

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