You’ll Love This Job If You:

• Enjoy owning complex problems end-to-end, from customer need through production and team adoption.
• Thrive in dynamic, growth-stage environments where priorities shift, scope is fluid, and ambiguity is common.
• Are deeply excited about AI-native development and evolving how software is built.
• Like working closely with Product and Design as peers, holding customer context and technical context in the same conversation.
• Take pride in improving systems, practices, and team capability, not just individual features.
• Prefer shipping, learning, and iterating over waiting for perfect requirements.
• Enjoy mentoring, pairing, and transferring practices through hands-on collaboration.
• Want to influence technical direction without relying on formal authority.
• Find energy in modernizing and improving real production systems while keeping them stable.
• Like balancing speed with strong engineering standards, architectural judgment, and quality.

What You’ll Do:

• Embed in key initiatives or pods and ship meaningful product features using advanced engineering practices.
• Think product-first by owning outcomes, not just tickets, and ensuring your 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, including writing specs, generating code, critically evaluating outputs, and improving development loops.
• Practice and model augmented coding while maintaining high standards for code quality, testing, system design, and deployment confidence.
• Pair with engineers inside their actual workflows to transfer practices through collaboration, not instruction.
• Drive ambiguous or high-impact problems when the path forward is unclear.
• Make thoughtful technical decisions with incomplete information and adjust when data or production reality points to a better path.
• Contribute across the full stack, including Node, TypeScript, React, SQL, and cloud-native services across AWS and GCP.
• Shape the technical foundation alongside feature work, including service boundaries, data flows, APIs, observability, reliability, and deployment practices.
• Debug complex issues across distributed systems and make architectural decisions that hold up beyond a single feature.
• Own production systems, including observability, reliability, deployments, postmortems, and on-call responsibilities.
• Improve and evolve large, interconnected production codebases with empathy for legacy systems and the teams that maintain them.
• Influence technical direction within your pod and contribute to broader engineering improvements across pods.
• Leave systems, practices, and teams better than you found them.

How Success Will Be Measured:

• You deliver high-quality, customer-impacting features from concept through production.
• You drive measurable improvements in team velocity, quality, reliability, AI-native development adoption, or engineering practices.
• You positively influence teams through mentorship, pairing, shared standards, and improved practices that continue after your direct involvement decreases.

What You Should Have:

• 10+ years of professional software engineering experience building and shipping products that matter.
• Deep fluency in at least one modern typed web stack. We use Node, TypeScript, React, and SQL; depth of judgment and ability to transfer skills matter more than an exact technology match.
• Strong systems thinking, including architectural judgment across domains, debugging across service boundaries, and sound decision-making under pressure.
• Experience owning services end-to-end, including build, deploy, run, monitoring, observability, on-call support, and postmortems.
• Familiarity with cloud environments such as AWS, GCP, or similar.
• Strong production instincts and experience making decisions that keep systems healthy over time.
• Legacy empathy and a thoughtful approach to modernizing large existing codebases while keeping production systems stable.
• Strong testing standards, including experience establishing or improving testing practices for teams.
• Ability to navigate and improve large, existing codebases quickly.
• Comfort working in ambiguous, fast-moving environments with shifting priorities, loose structure, and multiple hats.
• Strong communication skills, with the ability to translate between engineering depth, product needs, and business context.
• Experience collaborating cross-functionally with Product and Design as true peers.
• A product mindset, starting with the customer problem, challenging assumptions, and connecting technical decisions to business outcomes.
• Significant experience using AI tools to improve development workflows and outcomes, with concrete examples of faster delivery, higher quality, fewer handoffs, or fundamentally different workflows.
• A track record of mentoring, pairing, elevating other engineers, and influencing without authority.

How You Fit:

This is an individual contributor role within a product pod. You influence through your work — your code, your practices, your pairing, and the improvements that continue after you step away.

• With other Tech Leads: You may act as tech lead in a pod or work across pods alongside existing tech leads. When leading, you own technical direction. When partnering, you share practices, approaches, and architectural judgment.
• With Sr. Engineering Managers: You provide signal on team readiness, engineering gaps, and growth opportunities. They own the people conversations. You create the conditions for growth through pairing, modeling, and practical feedback from the work.
• With Product: You partner as a peer. You hold business context and technical context in the same conversation, helping define what is worth building and then building it.

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!

• Salary Range: $170,000 - $195,000
• 4-Day Work Week (32 Hour Work Week)
• WFA (Work From Anywhere) OR 1 Day / Week Remote
• 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!

Originally posted on Himalayas