About The Role: 

• We're looking for a Staff Software Engineer who wants real ownership in a fast-moving environment. 
• You'll help design, build, deploy, and operate the software that runs Urban Sky's manufacturing operation—a full-stack MRP system that tracks inventory, work orders, bills of materials, quality holds, and serialized parts from receiving through final integration. It's the operational backbone of how we actually build balloons. Because the company is growing quickly, the scope of the role will evolve over time, and you'll have meaningful influence over what we build next and how we build it. 
• You'll work shoulder-to-shoulder with the people using the software every day—manufacturing technicians, logistics coordinators, quality inspectors, and finance. There's no product manager between you and them. You'll learn how parts flow through the building, what makes a quarantine workflow painful at 3pm on a Friday, and how a missed traceability record turns into a compliance problem. Translating messy physical processes into clean software is most of the job. 
• The interfaces you build are for operators, not consumers. A shop-floor tech holding a tablet, scanning a barcode, working through a multi-step assembly procedure—that's your user. Touch targets, scanner integration, and drag-and-drop work instructions matter more than landing-page polish. 
• We operate in an aerospace-regulated environment (AS9100). Every mutation needs an audit trail. Serialized parts need end-to-end traceability. "Move fast and break things" doesn't apply to production data. We still move fast—but with the discipline that comes from knowing a corrupted record can ground a flight. 
• You don't need prior MRP or manufacturing experience. You do need to be excited—or at least not intimidated—by learning a complex business domain alongside the code. 
• If you enjoy small teams and solving ambiguous problems, this role is likely a great fit. 

What You'll Do 

• Our overall software team is roughly 7 people, and this team will be just 2 people, everyone works across the stack. That's not aspirational—it's required. A small team with real ownership only works if everyone can contribute quickly and adapt as the company and product evolve. 
• Senior engineers here build trust by shipping early and expanding their scope through demonstrated ownership. 

What we need you to do right away

• We expect senior engineers to become productive almost immediately. 
• In your first days and weeks, you will: 
  • Set up your environment and start committing code within your first day or two 
  • Learn existing systems by improving them, not by watching from the sidelines 
  • Fix bugs, tighten rough edges, and ship small enhancements to production 
  • Participate in deployments, debugging, and operational workflows 
  • Use AI tools from the start to understand the codebase and accelerate contributions 
  • Ask questions, propose improvements, and engage in technical decisions 
• You won't be waiting for a long ramp period. 
• You'll build context by doing real work that ships. 

What you will grow quickly into

• As you gain context, scope expands fast. 
• Within your first couple of months, you'll be expected to: 
  • Own meaningful areas of our stack across backend, frontend, and infrastructure 
  • Lead design and implementation of projects that may span quarters 
  • Make architectural decisions with an eye toward reliability, operability, and future change 
  • Work directly with operators and stakeholders—often non-engineers—to refine solutions 
  • Drive systems from concept → implementation → production → iteration → support 
  • Continuously simplify, improve, and evolve what you own 
  • Help the team move faster by raising technical quality and reducing friction 
• By this point, you're not just contributing—you're a primary owner. 
• There are no lanes to stay in and no handoffs to hide behind. 
• If something feels confusing to an operator, that's an engineering problem. 
• If a system is brittle, slow, or overbuilt, that's an engineering problem. 
• If a workflow on the shop floor doesn't match the software, that's an engineering problem. 
• If requirements change mid-stream, that's reality—and adapting thoughtfully is part of the job. 
• If AI-generated code is messy, that's also an engineering problem. 
• You'll own systems end-to-end, from design through production and long-term maintenance—even as those systems evolve. 

Our engineering principles 

• These principles guide how we build systems in a fast-moving, real-world environment. 
• Design for operations, not just implementation 
• Software doesn't stop at merge. We design systems that can be deployed, monitored, debugged, and safely operated under changing constraints. 
• Favor simple, adaptable systems 
• Clarity beats cleverness—especially when systems need to change quickly. 
• Own the full lifecycle 
• Engineers are responsible for their systems from design through production, operational support, and ongoing evolution. 
• Build reliability through feedback 
• Observability is a first-class concern. Logs, metrics, and traces help us understand how systems behave as usage and requirements change. 
• Use abstraction sparingly and intentionally 
• Abstractions should make change easier, not harder. If they obscure failures or slow iteration, they're the wrong choice. 
• Scale and evolve based on evidence 
• We increase complexity, performance, and scale in response to real operational needs—not speculative futures. 
• Leverage AI with engineering judgment 
• We use AI aggressively to increase velocity and explore solutions, while remaining fully accountable for correctness and maintainability. 
• Embrace iteration as the default 
• Progress comes from frequent adjustments and steady improvement, not rigid plans. 

AI-assisted development 

• AI isn't supplemental here. It's a core part of our SDLC. 
• We use Claude Code for feature implementation, run automated multi-agent code review on pull requests, and have AI-driven quality checks integrated into CI. A meaningful portion of production code is AI-written and human-shaped. The skill we care about isn't typing speed or autocomplete—it's the judgment to review, restructure, reject, or rewrite AI output until it's correct, readable, and operable. 
• We expect you to: 
  • Use AI tools daily for implementation, debugging, refactoring, and exploration 
  • Adapt quickly as tools, models, and workflows evolve 
  • Apply strong judgment to AI-generated code—you're accountable for what ships, not the model 
  • Use AI to build production systems, not just prototypes 
  • Treat AI as leverage, not a replacement for understanding 
• We care far more about how you use AI than which model you prefer. 

What we are looking for

• This is a senior role. We're optimizing for experience, judgment, and adaptability. 
• You likely have: 
  • 8+ years of professional software engineering experience 
  • Strong fundamentals in system design, data structures, and architecture 
  • Experience building and operating backend systems at scale 
  • Solid instincts for data modeling, schema design, and SQL 
  • Comfort with cloud infrastructure and modern DevOps practices 
  • Experience owning production systems in environments that evolve quickly 
  • Strong communication skills and the ability to collaborate as priorities shift 
• You probably enjoy: 
  • TypeScript and modern web development 
  • Designing clean APIs and well-structured monoliths 
  • Thinking carefully about data models, schemas, and migrations 
  • Infrastructure, reliability, and operational excellence 
  • Mentoring others and raising the bar for the team 
• Learning quickly and adjusting course as new information emerges

Technologies (not a checklist) 

• We currently work with technologies such as: 
  • TypeScript / JavaScript 
  • React, Vite, Mantine UI 
  • tRPC for API contracts 
  • PostgreSQL (raw SQL and migrations, not just an ORM) 
  • ClickHouse for analytics 
  • Playwright for end-to-end testing 
  • AWS, Terraform, Docker 
  • CI/CD pipelines 
• You don't need experience with every tool—but you should be comfortable learning new systems as the stack evolves. 

 Benefits 

• Salary $150,000 - $180,000 per year  
• Stock Options 
• Medical, Vision and Dental 
• Unlimited Vacation Days 
• Cell Phone Bill Stipend 

The Role

Forge Quality Engineering team’s charter is to improve product quality. We thrive on maintaining high standards, obsessing over our customers, and living our values of being bold, humble, and accountable.

We are seeking a Staff Quality Engineer owning and delivering quality for large, complex financial trading systems. This role will be part of our Platform Services team.

Location: This role requires 2-3 days a week in office in San Francisco, CA.

Responsibilities

• Build comprehensive, bottom-up test strategies for the Platform Services organization
• Write test plans covering various customer use cases, including functional, compliance, and legal aspects
• Engage in projects from the initiation phase to identify requirement gaps and design failure modes
• Act as a force multiplier to help developers shift testing left
• Automate tests based on priority and business value
• Help adopt best practices to improve code quality
• Collaborate with product, design, information security, and business teams to quickly grasp domain knowledge
• Develop concise, clear, and detailed documentation
• Participate in scope definition, requirements analysis, functional and technical test design, and gap analysis
• Provide technical expertise in diagnosing and resolving issues, including determining workarounds or escalating to service owners
• Identify defect trends and partner with development teams to address root causes
• Leverage AI technologies to improve the effectiveness and efficiency of testing

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)
• 8–12 years of software testing experience
• Experience in fintech, trading, or financial services
• Experience leading quality efforts for internet applications
• Expertise in test automation (UI, API, or other layers)
• Experience enhancing test automation frameworks such as Playwright, Cypress, Selenium, K6, etc.

Qualifications

• Experience in end-to-end (E2E) automation, contract testing, API automation, and load/performance testing
• Experience with CI/CD pipelines
• Experience mentoring other quality engineers
• Proven track record of teamwork and delivery
• Experience at high-growth, venture-backed startups
• Experience with TypeScript and Node.js (strong plus)

For residents of the San Francisco, CA area, the annual salary range for this role is $169,000 - $200,000 + annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role

Forge Quality Engineering team’s charter is to improve product quality. We thrive on maintaining high standards, obsessing over our customers, and living our values of being bold, humble, and accountable.

We are seeking a Staff Quality Engineer owning and delivering quality for large, complex financial trading systems. This role will be part of our Platform Services team.

Location: This role requires 2-3 days a week in office in Soho, NY

Responsibilities

• Build comprehensive, bottom-up test strategies for the Platform Services organization
• Write test plans covering various customer use cases, including functional, compliance, and legal aspects
• Engage in projects from the initiation phase to identify requirement gaps and design failure modes
• Act as a force multiplier to help developers shift testing left
• Automate tests based on priority and business value
• Help adopt best practices to improve code quality
• Collaborate with product, design, information security, and business teams to quickly grasp domain knowledge
• Develop concise, clear, and detailed documentation
• Participate in scope definition, requirements analysis, functional and technical test design, and gap analysis
• Provide technical expertise in diagnosing and resolving issues, including determining workarounds or escalating to service owners
• Identify defect trends and partner with development teams to address root causes
• Leverage AI technologies to improve the effectiveness and efficiency of testing

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)
• 8–12 years of software testing experience
• Experience in fintech, trading, or financial services
• Experience leading quality efforts for internet applications
• Expertise in test automation (UI, API, or other layers)
• Experience enhancing test automation frameworks such as Playwright, Cypress, Selenium, K6, etc.

Qualifications

• Experience in end-to-end (E2E) automation, contract testing, API automation, and load/performance testing
• Experience with CI/CD pipelines
• Experience mentoring other quality engineers
• Proven track record of teamwork and delivery
• Experience at high-growth, venture-backed startups
• Experience with TypeScript and Node.js (strong plus)

For residents of the New York, NY area, the annual salary range for this role is $169,000 - $200,000 + annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role

Forge Quality Engineering team’s charter is to improve product quality. We thrive on maintaining high standards, obsessing over our customers, and living our values of being bold, humble, and accountable.

We are seeking a Staff Quality Engineer owning and delivering quality for large, complex financial trading systems. This role will be part of our Platform Services team.

Location: This position is remote in Denver, CO. We intend to open an office in Denver and once we do, we will require hybrid attendance onsite at least 9 days each month.

Responsibilities

• Build comprehensive, bottom-up test strategies for the Platform Services organization
• Write test plans covering various customer use cases, including functional, compliance, and legal aspects
• Engage in projects from the initiation phase to identify requirement gaps and design failure modes
• Act as a force multiplier to help developers shift testing left
• Automate tests based on priority and business value
• Help adopt best practices to improve code quality
• Collaborate with product, design, information security, and business teams to quickly grasp domain knowledge
• Develop concise, clear, and detailed documentation
• Participate in scope definition, requirements analysis, functional and technical test design, and gap analysis
• Provide technical expertise in diagnosing and resolving issues, including determining workarounds or escalating to service owners
• Identify defect trends and partner with development teams to address root causes
• Leverage AI technologies to improve the effectiveness and efficiency of testing

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)
• 8–12 years of software testing experience
• Experience in fintech, trading, or financial services
• Experience leading quality efforts for internet applications
• Expertise in test automation (UI, API, or other layers)
• Experience enhancing test automation frameworks such as Playwright, Cypress, Selenium, K6, etc.

Qualifications

• Experience in end-to-end (E2E) automation, contract testing, API automation, and load/performance testing
• Experience with CI/CD pipelines
• Experience mentoring other quality engineers
• Proven track record of teamwork and delivery
• Experience at high-growth, venture-backed startups
• Experience with TypeScript and Node.js (strong plus)

For residents of the Denver, CO the annual salary range for this role is $155,000 - $175,000 + annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

About the Team

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 value engineers who are curious, collaborative, and committed to making an impact for thousands of job seekers.

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.

About the Role

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.

Why We’re Hiring for This Role

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:

Ramp Up on Systems and Codebases

Gain familiarity with our applications, services, tools, and infrastructure. Develop an understanding of how your team’s work fits into the broader product and architecture.

Establish Technical Ownership

Take responsibility for features and systems, provide thoughtful code reviews, and contribute to team design discussions. You’ll be trusted to make solid technical decisions and defend them clearly when needed while staying open to feedback.

Collaborate and Align

Work closely with engineers, product managers, designers, and stakeholders to align on priorities and deliver incremental value. Help improve the team's planning and execution rhythm.

In the Long Term, You Will:

Drive Technical Excellence

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

Mentor and Elevate the Team

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.

Deliver Meaningful Business Impact

Own end-to-end delivery of AI-powered product features that support business goals and enhance user experience. Influence the roadmap by advocating for technical investments that align with long-term value.

What You Bring to the Team:

• 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.
• Ability to navigate ambiguity, make sound decisions, and adapt to changing priorities
• A collaborative, team-first mindset — you know the best outcomes come from working well together, and you actively contribute to a supportive, inclusive team 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
• A sense of urgency, accountability, and ownership, you take pride in your work and team achievements.
• Strong communication, problem-solving, and collaboration skills, with the confidence to advocate for ideas while being open to alternative perspectives

Required:

• Proven experience building and maintaining business-critical applications using Node.js and TypeScript in a production setting
• Hands-on experience developing scalable, maintainable RESTful and GraphQL services in production environments
• Working knowledge of container-based technologies (Docker, Fargate, Kubernetes, or other)
• 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
• Solid understanding of architectural patterns (event-driven, serverless, SOA, and others)
• Practical understanding of how to implement traditional Machine Learning models and LLMs in production, including knowledge of model selection criteria and architectural trade-offs
• Hands-on experience deploying LLM-powered features into production, such as simple LLM API calls, RAG (Retrieval-Augmented Generation) systems, Vector Stores, and MCP Servers
• Familiarity with AI/ML tooling such as LangChain, LangGraph, LangSmith, Vercel AI SDK, LiteLLM, or equivalent frameworks

Preferred:

• Understanding of different programming paradigms such as OOP and Functional
• Experience with highly available, highly scalable SaaS applications
• Working knowledge of logging and observability best practices
• 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
• Comfort navigating ambiguity to define and implement technical solutions
• Experience collaborating with cross-functional partners (Product, Design, Data)
• Experience designing and deploying Agentic features or autonomous AI Agents in a production environment
• Experience with LLM evaluation techniques (e.g., LLMs-as-judges), prompt engineering, and context engineering
• 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

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. 

About the Team:

STR’s Analytics and Command & Control (AC2) Division focuses on developing actionable, advanced technology solutions to provide asymmetric advantages within the information domain. 

The Mission Applications (MA) Group within the AC2 Division specializes in ensuring the technology that STR creates produces outsized mission impact. Staff within the MA group have a deep understanding of missions and technology needs for national security with skills targeting transition of technology to operational use, including product management, UX Product implementation, software integration & mission engineering, platform engineering, DevOps, and program management. MA staff combine with other science and engineering staff from the various STR research and development groups to form dedicated product teams focused on accelerating the operational transition of cutting-edge software technologies. 

The Role: 

A Test Lead coordinates all efforts associated with test, to include test-driven development and implementing automation for various elements of system test.  This approach places a strong emphasis on all aspects of test (unit, integration, and system-level) to ensure STR is fulfilling the end-user's operational needs, thus enabling the success of the overall mission.  Ensuring all facets of system test are accounted for in the end-to-end software development and deployment can significantly improve the impact of STR software. 

We are seeking experienced candidates – preferably, established technical leads with experience as a test lead on a software development program and skill interfacing with teams of developers.

What you will do:

• Lead the development team in designing and implementing integration tests for innovative software services in an agile DevSecOps environment
• Collaborate with program leadership to prioritize test planning and execution activities
• Ongoing work includes developing and maintaining automated system and regression tests and working with program management/staff to identify key system-level test cases
• Hands-on experience with ability to quickly grasp overall system architecture picture is essential

Who You Are: 

• Ability to obtain a Top Secret security clearance with SCI eligibility, for which U.S citizenship is needed by the U.S government
• BS in Computer Science, Information Technology, or related technical field with a minimum of 7+ years of relevant experience. Equivalent experience will be considered.
• Experience with relevant technologies, including:
  • Python
  • Kafka
  • RESTful services
  • Gitlab, specifically Gitlab CI/CD and understanding pipelines
  • Kubernetes (good familiarity with kubectl and experience putting together k8s yml config files)
  • ELK stack tools
  • Docker and docker-compose
  • Java applications (e.g., deployment/configuration)
  • xUnit-based test frameworks, primarily pytest, PyUnit, Jest, and Junit
  • Web-based UI test automation tools (e.g., Selenium, Playwright) 

Even Better:  

• Active Security Clearance at the Top Secret level with SCI Eligibility
• Advanced Degree in Computer Science, Information Technology, or related technical field
• Located near STR offices in Woburn, MA, Arlington, VA, or San Diego, CA, Denver, CO or willing to relocate
• Demonstrated ability to work across DevOps and development teams to find solutions to enable automated testing
• Demonstrated test framework/infrastructure debugging skills, especially debugging microservices deployed to a cloud infrastructure (leverages multiple skills including kubectl, ELK, Docker knowledge
• Ability to fully understand the architecture of the system under test and to identify weak/failure points

Pay Information
Full-Time Salary Range: $175,000 - $240,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate’s experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.

About the Team

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 value engineers who are curious, collaborative, and committed to making an impact for thousands of job seekers.

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.

About the Role

As a 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 Software Engineer, you’ll be expected to provide technical support within the team by adhering to architectural decisions, working collaboratively teammates, and helping maintain a high standard of quality and maintainability. You’ll contribute cross-functionally with Product, Design, and Data partners to achieve ongoing outcomes and implement 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.

Why We’re Hiring for This Role

As we scale and modernize our platform, we’re looking for engineers who can take ownership of complex systems, communicate effectively with collaborators and team members, 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:

Ramp Up on Systems and Codebases

Gain familiarity with our applications, services, tools, and infrastructure. Develop an understanding of how your team’s work fits into the broader product and architecture.

Establish Technical Ownership

Take responsibility for features and systems, provide thoughtful code reviews, and contribute to team design discussions. You’ll be trusted to make solid technical decisions and defend them clearly when needed while staying open to feedback.

Collaborate and Align

Work closely with engineers, product managers, designers, and stakeholders to align on priorities and deliver incremental value. Help improve the team's planning and execution rhythm.

In the Long Term, You Will:

Drive Technical Excellence

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

Deliver Meaningful Business Impact

Own end-to-end delivery of product features that support business goals and enhance user experience. Influence the roadmap by advocating for technical investments that align with long-term value.

What You Bring to the Team:

• 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
• Ability to navigate ambiguity, make sound decisions, and adapt to changing priorities
• A collaborative, team-first mindset — you know the best outcomes come from working well together, and you actively contribute to a supportive, inclusive team environment
• Technical depth and experience that allows you to contribute to design discussions, assist in breaking down complex tasks into meaningful deliverables, and ensure a high standard of engineering quality
• A sense of urgency, accountability, and ownership, you take pride in your work and team achievements.
• Strong communication, problem-solving, and collaboration skills, with the confidence to advocate for ideas while being open to alternative perspectives

Required:

• Proven experience building and maintaining business-critical applications using Node.js and TypeScript in a production setting
• Hands-on experience developing scalable, maintainable RESTful APIs in production environments
• Experience with front-end frameworks such as NextJS or React
• 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
• Solid understanding of architectural patterns (event-driven, serverless, SOA, and others)

Preferred:

• Understanding of different programming paradigms such as OOP and Functional
• Experience with highly available, highly scalable SaaS applications
• Working knowledge of logging and observability best practices
• 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
• Comfort navigating ambiguity to define and implement technical solutions
• Experience collaborating with cross-functional partners (Product, Design, Data)
• Familiarity with GraphQL APIs
• Working knowledge of container-based technologies (Docker, Fargate, Kubernetes, or other)

About the Team 

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 value engineers who are curious, collaborative, and committed to making an impact for thousands of job seekers. 

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. 

About the Role 

As a 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 Software Engineer, you’ll be expected to provide technical support within the team by adhering to architectural decisions, working collaboratively teammates, and helping maintain a high standard of quality and maintainability. You’ll contribute cross-functionally with Product, Design, and Data partners to achieve ongoing outcomes and implement 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.  

Why We’re Hiring for This Role 

As we scale and modernize our platform, we’re looking for engineers who can take ownership of complex systems, communicate effectively with collaborators and team members, 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: 

Ramp Up on Systems and Codebases 

Gain familiarity with our applications, services, tools, and infrastructure. Develop an understanding of how your team’s work fits into the broader product and architecture. 

Establish Technical Ownership 

Take responsibility for features and systems, provide thoughtful code reviews, and contribute to team design discussions. You’ll be trusted to make solid technical decisions and defend them clearly when needed while staying open to feedback. 

Collaborate and Align 

Work closely with engineers, product managers, designers, and stakeholders to align on priorities and deliver incremental value. Help improve the team's planning and execution rhythm. 

In the Long Term, You Will: 

Drive Technical Excellence 

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

Deliver Meaningful Business Impact 

Own end-to-end delivery of product features that support business goals and enhance user experience. Influence the roadmap by advocating for technical investments that align with long-term value. 

What You Bring to the Team: 

• 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 

• Exposure to the development and deployment of ML and AI features into a Production environment. 

• Ability to navigate ambiguity, make sound decisions, and adapt to changing priorities 

• A collaborative, team-first mindset — you know the best outcomes come from working well together, and you actively contribute to a supportive, inclusive team environment 

• Technical depth and experience that allows you to contribute to design discussions, assist in breaking down complex tasks into meaningful deliverables, and ensure a high standard of engineering quality 

• A sense of urgency, accountability, and ownership, you take pride in your work and team achievements. 
• Strong communication, problem-solving, and collaboration skills, with the confidence to advocate for ideas while being open to alternative perspectives 

Required: 

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

• Hands-on experience developing scalable, maintainable RESTful APIs in production environments 

• Experience with front-end frameworks such as NextJS or React 

• 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 

• Solid understanding of architectural patterns (event-driven, serverless, SOA, and others) 

• 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 

• Hands-on experience deploying LLM-powered features into production, such as simple LLM API calls, RAG (Retrieval-Augmented Generation) systems, Vector Stores, and MCP Servers 
• Familiarity with LLM guardrails and safeguards, monitoring, and observability practices for production AI systems 

Preferred: 

• Understanding of different programming paradigms such as OOP and Functional 

• Experience with highly available, highly scalable SaaS applications 

• Working knowledge of logging and observability best practices 

• 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 

• Comfort navigating ambiguity to define and implement technical solutions 

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

• Familiarity with GraphQL APIs 

• Working knowledge of container-based technologies (Docker, Fargate, Kubernetes, or other) 

• 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 

About the team:

At Dice, we believe that delivering an exceptional candidate experience is essential to the success of our platform.  As an engineering leader you will utilize your personal and professional knowledge and experience to lead a team of software engineers in both front and back-end application development.  This team currently plays a crucial role in developing Dice’s next-gen experiences.

About the role:

As a hands-on Engineering Manager at Dice, you will lead a team of skilled engineers working across a modern full-stack environment to deliver high-impact product enhancements that support thousands of job seekers and recriters. You’ll collaborate with product, design, and data partners to ensure alignment on goals and outcomes, maintain a high bar for technical quality, and drive continuous improvement. The Engineering Manager is responsible for investing in the growth, development, and success of their team by supporting their career progression through regular coaching, feedback, and opportunities for advancement.

Why we’re hiring for this role:

At Dice we recognize that strong engineering leadership is fundamental to building high-performing teams. As a hands-on technical leader, you'll play a key role in shaping both the user experience and the engineering culture.

In the short term you will:

Build Technical Context and System Knowledge

Become familiar with the codebases, architecture, infrastructure, and development workflows. While you typically won’t be in the critical path for delivery, you’re expected to contribute meaningfully to technical discussions and architectural decisions, review code, and understand the tradeoffs your team faces. This fluency is essential to earning trust and effectively guiding the team.

Understanding the Team, Product, and Engineering Culture

Begin building relationships with your team through one-on-ones and hands-on collaboration. Learn the product's purpose, user base, and how your team’s work fits into the broader platform. Participate in team rituals and begin to assess team strengths and growth areas.

Establish Technical Leadership

Take ownership of the roadmap and begin identifying opportunities for long-term improvement in architecture, team capabilities, and development practices.

In the long term you will:

Build and Empower a High-Performing Team

Develop a team culture of shared ownership, open communication, accountability and innovation. Mentor engineers, support their career growth, close skill gaps, and ensure the team can operate with autonomy and clarity.

Drive Technical Excellence and Scalable Practices

Continually raise the technical bar through code reviews, architectural improvements, reduced technical debt, and strong engineering practices. Ensure production systems are reliable, maintainable, supportable, and scalable.

Deliver Business Impact Through Execution and Collaboration

Establish predictable delivery, aligning closely with cross-functional partners, and ensure the team consistently ships meaningful outcomes. Own and influence roadmap decisions, advocate for smart trade-offs, and contribute to broader organizational goals.

What you bring to the team:

• Hands-on experience building and deploying production-grade applications with a proven track record of rapid delivery and practical implementation
• Strong technical skills using cloud-based technologies.
• In-depth knowledge of agile methodologies, and best practices to guide and enable the team.
• Demonstrated ability to navigate ambiguous situations, make informed decisions, and adapt based on feedback.
• Proven ability to balance the benefits and costs of simple versus complex solutions, ensuring outcomes align with project and organizational goals.
• Ability to bridge the gap between technical teams and stakeholders, ensuring clear communication of complex data concepts and project goals.
• Excellent communication and collaboration skills with the ability to make pragmatic technical decisions while growing a culture of continuous improvement and delivery.
• Technical depth and credibility to engage with the team’s work, whether to unblock progress, offer hands-on support, or hold individuals accountable to high engineering standards.

Required:

• Proven ability to lead teams in building and maintaining business-critical applications across the stack, including enterprise Next.js and React frontends and Node.js/TypeScript services.
• Experience guiding the development of scalable, maintainable, RESTful and GraphQL services in production environments
• Working knowledge of container-based technologies (Docker, Fargate, Kubernetes, or other)
• Solid understanding of architectural patterns (event-driven, serverless, SOA, and others)
• Demonstrated ability to lead teams designing and operating modern web authentication and authorization systems.
• Knowledge of quality best practices and automated testing tools such as Playwright
• Proven experience leading in an Agile environment
• Strong communication, problem-solving, organization skills and attention to detail
• Demonstrated ability to build a high-performing team, including addressing underperformance with empathy, and accountability
• Experience developing team members through regular 1:1s, coaching, and feedback, with a focus on growth and engagement   

Preferred:

• Working knowledge of implementing and operating Stripe-based payment flows or other payment processing, including product configuration, pricing models, and integration with application services.
• Identity and Access Management (IAM, Authentication & Authorization) is highly preferred.
• Experience with highly available, highly scalable SaaS applications
• Working knowledge of logging and observability best practices
• 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
• Comfort navigating ambiguity and contributing to shaping roadmaps and priorities
• Experience collaborating with cross-functional partners (Product, Design, Data)

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.