Software Engineer - Dice

Summary

DHI Group, Inc. is the parent company of the Dice and ClearanceJobs career marketplaces, connecting candidates and employers through career resources and job opportunities. The Software Engineer will build and ship features for Dice’s candidate and recruiter experience using a modern cloud-native, AI-native stack, while collaborating with Product, Design, and Data. The role involves growing technical ownership, delivering product features, and contributing to system quality and automation.

Responsibilities

• 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
• 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

Skills

• 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
• 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

Qualifications

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

Nice to Haves

• 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

Benefits

• 10% annual bonus at 100% of plan targets tied to company and individual performance
• Medical insurance
• Dental insurance
• Vision insurance
• FSA
• HSA
• Disability insurance
• Life insurance
• Wellness & fitness programs
• 401(k) match
• Performance bonuses
• Education assistance
• Learning & development
• Generous paid time off
• Parental leave
• Flexible summer hours
• Social & giving events