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 Senior Software Engineer, you’ll design and ship high-impact features in a modern, cloud-native stack that reaches thousands of job seekers and recruiters, and you’ll do it on a team that treats AI as a core part of how we build, not a side experiment. You’ll provide technical leadership, drive architectural decisions, mentor teammates, and hold a high bar for quality. You’ll partner closely with Product, Design, and Data to turn real candidate and recruiter problems into shipped outcomes.

If that sounds like the work you want, but you see yourself a level below this, 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 and architecture.
• Establish technical ownership. Take responsibility for features and systems, give thoughtful code reviews, and contribute to design discussions. You’ll make solid technical calls, defend them clearly, and stay open to feedback.
• Collaborate and align. Work with engineers, PMs, designers, and stakeholders to align on priorities and ship incremental value, and help sharpen the team’s planning and execution rhythm.

In the long term, you will:

• Drive technical excellence. Evolve our systems through well-designed, scalable architecture. Reduce tech debt, improve performance, and raise shared engineering standards, including how we apply AI across the workflow.
• Mentor and elevate the team. Mentor peers, review designs, and grow the technical capability of those around you.
• Deliver meaningful business impact. Own end-to-end delivery of product features (increasingly AI-powered) that move business goals and improve the candidate and recruiter experience, and influence the roadmap by advocating for the right technical investments.

What you’ll need (must-haves):

• Proven experience building and operating production-grade applications with Node.js and TypeScript, with a track record of practical, maintainable solutions
• Hands-on experience building scalable RESTful and/or GraphQL services in production
• Experience with modern front-end frameworks (React, Next.js)
• Demonstrated experience building highly available applications on AWS, with CI/CD and container-based deployment (Docker, Fargate, Kubernetes)
• Automated testing (e.g., Playwright) and a genuine ownership mindset for quality
• AI-native ways of working: you already use AI coding agents as a core part of how you build, going well beyond a chat assistant, and you push to automate repetitive work
• Senior-level judgment and leadership: you lead design discussions, break ambiguous problems into meaningful deliverables, and communicate and collaborate with the confidence to advocate for ideas while staying open to better ones

Bonus points (preferred, not required):

• Comfort applying LLM-based tooling (e.g., LiteLLM) to practical data problems such as enriching and classifying content
• Integrating third-party systems via APIs and building or operating high-volume data ingestion pipelines
• Working knowledge of Python and/or Java
• Strong data modeling and database skills (PostgreSQL and other relational or NoSQL stores), especially for high-volume data pipelines: schema design, query optimization, and migrations
• Experience modernizing or migrating legacy systems onto newer technology stacks
• Distributed, event-driven systems (e.g., SNS/SQS, Lambda, or similar messaging and streaming architectures)
• Logging and observability best practices, performance tuning, or cost optimization in cloud-native environments
• Experience with highly available, highly scalable SaaS applications, and comfort across 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.