Software Engineer - Dice

About the role:

We’re rebuilding the candidate and recruiter experience at the core of Dice: the end-to-end journey a job seeker takes to find their next role, and the way recruiters and employers find and connect with them. As a Software Engineer, you’ll build and ship features in a modern, cloud-native stack that reaches thousands of job seekers and recruiters, and you’ll grow on a team that treats AI as a core part of how we build, not a side experiment. You’ll own meaningful pieces of work, deepen your craft, and grow toward broader technical ownership, with the support of senior engineers and a clear path forward. You’ll work closely with Product, Design, and Data to turn real candidate and recruiter problems into shipped outcomes.

If that sounds like your kind of work, but you see yourself at the senior level, apply anyway. We’re hiring across levels and calibrate level at offer.

About the team:

We believe an exceptional candidate and recruiter experience is what makes our platform win, and we’re building the next generation of it across a modern full-stack environment. We value engineers who are curious, collaborative, and want their work to matter for the people using it.

AI-native:

• We start with AI. The engineers who thrive here keep asking “why are we still doing this by hand?” and then automate it, with real autonomy and leadership backing.
• AI amplifies engineers; it doesn’t replace their judgment. The hard parts stay human (thoughtful design, holistic product thinking, sound principles, strong fundamentals), so we hire for those first.
• We use AI agents across the lifecycle: writing and reviewing code, generating tests, triaging dependencies, and building internal tooling.

In the short term, you will:

• Ramp up on our systems. Learn our applications, services, tooling, and infrastructure, and how your team’s work fits the broader product.
• Take ownership of your work. Own features end to end with guidance, give and receive code reviews, and contribute to design discussions as you build context.
• Collaborate and align. Work with engineers, PMs, designers, and stakeholders to deliver incremental value and find your rhythm in the team’s planning and execution.

In the long term, you will:

• Grow your technical depth. Take on larger and more ambiguous problems, deepen your ownership of systems, and raise your standards for quality, including how you apply AI across the workflow.
• Grow toward leadership. Build the judgment, communication, and influence that lead to senior-level scope: mentoring others, shaping design, and driving decisions. We invest in getting you there.
• Deliver meaningful business impact. Ship product features (increasingly AI-powered) that improve the candidate and recruiter experience and move business goals.

What you’ll need (must-haves):

• Solid experience building production applications with Node.js and TypeScript
• Experience building RESTful and/or GraphQL services, and working with modern front-end frameworks (React, Next.js)
• Experience working with applications on AWS (or another major cloud), and exposure to CI/CD and containers (Docker, Fargate, Kubernetes)
• Exposure to automated testing (e.g., Playwright) and a quality-minded approach to your work
• AI-native ways of working: you already use AI coding agents as a core part of how you build, going beyond a chat assistant, and you look for ways to automate repetitive work
• A growth mindset: you navigate ambiguity with support, learn fast, take feedback well, and are eager to grow toward senior-level ownership

Bonus points (preferred, not required):

• Any hands-on experience or curiosity applying LLM tooling (e.g., LiteLLM) to practical data problems like enriching or classifying content
• Exposure to integrating third-party systems via APIs (e.g., ATS platforms) or working with data ingestion pipelines
• Working knowledge of Python and/or Java
• Data modeling and database skills (PostgreSQL or other relational/NoSQL stores): schema design, writing efficient queries, and migrations
• Exposure to modernizing or migrating legacy systems onto newer stacks
• Distributed, event-driven systems (e.g., SNS/SQS, Lambda, or similar messaging and streaming)
• Logging and observability basics, performance tuning, or cost awareness in cloud-native environments
• Experience with scalable SaaS applications, and familiarity with OOP and functional paradigms

NOTE:

This job description is not intended to be an all-inclusive list of the duties and responsibilities of the job described, nor are they intended to be such a listing of the skills and abilities required to do the job. Rather, they are intended only to describe the general nature of the job as of the date this job description was prepared. Management reserves the right to modify this job in order to meet business needs.

All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.