Senior Full Stack Developer

Alchemer•Louisville, CO

2d•$170,000 - $185,000

About The Position

As the most senior individual contributor on Alchemer's analytics and data visualization products, you'll spend your days building, bringing the judgment and independence to figure out how a hard problem should be solved. This is a full-stack role, but with acknowledgement that “the stack” is so large these days, a bias towards front-end is perfectly okay: we want people who are well rounded, not simply domain experts in one specific framework or language. You'll work closely with engineering leadership and product managers on the direction for a product, then own getting it built well, while setting the technical standard other engineers work to.

Requirements

At least 10 years of professional software engineering experience, preferably but not as a requirement with significant depth in data-intensive or analytics applications.
Well rounded across the stack, perhaps with your center of gravity on the front end, and React in particular.
Command of databases, data structures, query optimization, and data modeling.
Ability to reason about why a dashboard is slow and fix it at the right layer.
Experience with or good familiarity with analytics, BI, or data visualization platforms, whether integrating them, embedding them, or building alternatives to them.
Ability to build front-ends for the expectations and considerations of users, being able to get into the mind of a user rather than merely build an interface.
Belief in understanding why work is being done, not just implementing code and moving to the next task. Ability to raise gaps, ambiguity, or missing scenarios rather than build around them.
Desire for frequent if not continuous software releases rather than “big bang” releases.
Deeply experienced with the full software development lifecycle, including application code, unit/integration/automation testing, documentation, and performance and security engineering.
Ability to work well with other engineers and willingness to spend time making them better.
Communication and collaboration skills across technical and non-technical, internal and external, audiences.
Adopted AI tooling in your workflow, knowing how it can improve your own efficacy but as another tool in your toolbox, not a substitute for genuine knowledge and experience.

Nice To Haves

Significant depth in data-intensive or analytics applications.

Responsibilities

Make major hands-on contributions to Alchemer's analytics products, including building new services and interfaces, leading significant changes, and maintaining the existing portfolio.
Contribute to architectural designs and systemic processes at a level beyond merely writing code to build reliable, scalable, and durable products that can integrate with other Alchemer systems and platforms.
Take substantial initiatives from concept through to production, owning the technical approach and adjusting it as the reality of a business operates.
Build and optimize the services, pipelines, and query paths behind the analytics products, where correctness and performance at volume turn into multiplicative problems if unchecked.
Design and build APIs and embed surfaces meant to be consumed by others, including internal teams, customers, and partners, where ease of use, simple design, and interoperability are key.
Build the front-end that users engage with, working with UX to produce experiences that hold up under real data volumes.
Work with product managers and subject matter experts to shape requirements into something buildable, weighing trade-offs between usability, cost, and query performance.
Bring technical judgment to sprint and release planning, including a clear-eyed view of what enhancements, bug fixes, and technical debt actually cost while knowing not all tech debt is inherently “bad.”
Build AI and ML capabilities into analytics products, including retrieval, natural-language query, and generated-insight features.
Use usage data, query telemetry, and customer feedback to find and fix performance bottlenecks.
Contribute to CI/CD processes that allow for smoother releases and increasing team and business confidence.
Identify and help resolve roadblocks impeding software development.
Mentor engineers, raise the bar on code review and design review, and share knowledge rather than concentrate it.
Consider the full lifecycle of what you build, from initial conception to launch, through maintenance, all the way to sunsetting.