Senior Software Engineering - Telecommute

Senior Software Engineer

At Dice, we believe that delivering an exceptional candidate experience — the end-to-end journey a job seeker takes to discover, evaluate, and land their next role — is essential to the success of our platform. This team plays a critical role in building the next generation of that experience, contributing across a modern full-stack environment. We are an AI-native team. We actively use AI coding assistants (e.g., Claude Code, Codex, Gemini CLI) to accelerate development, sharpen code quality, and focus our energy on higher-impact engineering work.

As a Senior Software Engineer at Dice, you'll contribute to the design, development, and delivery of high-impact product features in a modern, cloud-native stack. As a senior engineer you'll be expected to provide technical leadership within the team by driving architectural decisions, mentoring teammates, and helping maintain a high standard of quality and maintainability. You'll collaborate cross-functionally with Product, Design, and Data partners to align on outcomes and advocate for sound technical solutions.

Being AI-native is central to how we work. We expect engineers in this role to go beyond using AI as a simple chat assistant, embracing tools like Claude Code as core parts of the development workflow to increase productivity such as automating repetitive tasks by generating skills and leveraging subagents, and apply best practices through prompt engineering to get the most out of the AI tools we use at every stage of the software lifecycle.

As we scale and modernize our platform, we're looking for experienced senior engineers who can take ownership of complex systems, communicate effectively with stakeholders, deploy AI-powered features, and contribute to product and architectural decisions. This role is ideal for someone who enjoys working across the stack, solving real user problems, working with AI, and influencing both code and culture.

In the Short Term, You Will:

Gain familiarity with our applications, services, tools, and infrastructure. Help improve the team's planning and execution rhythm.

Help evolve our systems through well-designed, scalable AI architecture. Reduce tech debt, improve performance, and contribute to shared engineering standards.

The Senior Software Engineer at Dice plays a key role in mentoring peers, reviewing designs, and helping grow the technical capabilities of those around you.

Own end-to-end delivery of AI-powered product features that support business goals and enhance user experience. Proven experience building and deploying production-grade applications with a track record of delivering value through practical, maintainable solutions

Strong technical skills and experience in cloud-based technologies

Track record of development and deployment of ML and AI features into a Production environment.

Technical depth and experience that allows you to lead design discussions, break down complex tasks into meaningful deliverables, and ensure a high standard of engineering quality

Proven experience building and maintaining business-critical applications using Node.js and TypeScript in a production setting

Experience with front-end frameworks such as NextJS, React, or Angular

Demonstrated experience building highly available applications on AWS infrastructure

Experience implementing and working with CI/CD pipelines to support automated testing and deployments

Ability to apply quality best practices and implement automated testing using tools such as Playwright

Practical understanding of how to implement traditional Machine Learning models and LLMs in production, including knowledge of model selection criteria and architectural trade-offs

Familiarity with AI/ML tooling such as LangChain, LangGraph, LangSmith, Vercel AI SDK, LiteLLM, or equivalent frameworks

Understanding of different programming paradigms such as OOP and Functional

Experience with highly available, highly scalable SaaS applications

Familiarity with DevOps principles and the ability to work closely with platform teams

Knowledge of performance tuning, cost optimization, or scalability in a cloud-native environment

Experience collaborating with cross-functional partners (Product, Design, Data)

Experience designing and deploying Agentic features or autonomous AI Agents in a production environment

Familiarity with LLM guardrails and safeguards, monitoring, and observability practices for production AI systems

Experience working as an AI-native engineer — including creating agent skill files, configuring and orchestrating subagents, or building custom AI tooling to accelerate engineering workflows

Base salary/pay per year, plus 10% annual bonus at 100% of plan targets tied to company and individual performance. Remote (US-only) pay range: Base salary/pay per year, plus 10% annual bonus at 100% of plan targets tied to company and individual performance. Healthy living - medical, dental, vision, FSA, HSA, disability, life, wellness & fitness programs Future living - 401(k) match, performance bonuses, education assistance, learning & development Enjoy living - generous paid time off, parental leave, flexible summer hours, social &