Who You Are

Not only do you have broad and deep knowledge of software development technologies, but you are also deeply curious about how knowledge flows through complex organizations. You enjoy designing systems that make information easier to structure, store, retrieve, and reuse across teams and tools.

You have a strong sense of empathy for both technical and non-technical collaborators and are able to translate complex system designs into concepts that content designers, product managers, and business stakeholders can understand.

You are particularly excited about the emerging intersection of AI systems, structured knowledge, and modern content infrastructure. You enjoy building foundational systems that enable others—engineers, designers, support teams, and AI tools—to work more effectively.

In this role, you will partner closely with content strategists, designers, and product teams to build the infrastructure that powers Justworks’ internal knowledge systems and AI capabilities. This work includes designing systems that store structured knowledge, expose it through APIs, and enable downstream tools—including AI assistants—to retrieve reliable context.

Your Success Profile

What You Will Work On

• Design and build the foundational infrastructure that enables structured knowledge to be stored, versioned, and retrieved across the organization
• Partner with Content Design, Product, and Engineering teams to translate knowledge architecture (taxonomy, content models, decision tables, and policy relationships) into technical systems
• Stand up and configure a headless CMS platform that implements the organization’s knowledge operating model, translating content models, taxonomy, and governance structures defined by Content Design into scalable technical systems
• Develop APIs and services that expose structured knowledge to internal tools, AI assistants, and future product experiences
• Build and maintain integrations between knowledge storage systems and AI tooling, including retrieval pipelines and experimentation with RAG-based architectures
• Prototype using lightweight tooling (e.g., Git-based content repositories, markdown workflows, and developer-friendly authoring environments)
• Collaborate with engineers and designers to identify opportunities where structured knowledge can improve product development workflows and AI capabilities
• Evaluate and recommend technology approaches for knowledge storage and delivery (e.g., headless CMS platforms, structured content repositories, search infrastructure)
• Establish scalable patterns for content versioning, governance workflows, and structured metadata management
• Work with cross-functional stakeholders to ensure the system supports internal enablement needs such as SOPs, policies, decision trees, and operational guidance
• Continuously iterate on the architecture as the organization’s knowledge systems mature and new use cases emerge

How You Will Do Your Work

As a Senior Engineer working on foundational systems, how results are achieved is paramount for your success and ultimately for our success as an organization.

In this role, your foundational knowledge, skills, abilities and personal attributes are anchored in the following competencies:

• Systems thinking – the ability to understand complex systems and design infrastructure that supports multiple teams, workflows, and downstream consumers.
• Good judgment – exercising critical thinking when evaluating architectural decisions, balancing long-term platform goals with pragmatic iteration.
• Resourcefulness – taking a pragmatic, experimental approach to building early versions of systems while designing for future scalability.
• Teamwork and communication – collaborating closely with engineers, content designers, and non-technical stakeholders to translate business knowledge into technical systems.
• Curiosity and technical exploration – staying engaged with emerging approaches to knowledge infrastructure, AI tooling, retrieval systems, and structured content architectures.
• Skills and knowledge – the capacity to actively learn and apply new technologies and architectural patterns that improve how knowledge flows across the organization.

In addition, all Justworkers focus on aligning their behaviors to our core values known as COGIS. It stands for:

• Camaraderie – Day to day you can be seen working together toward a higher purpose. You like to have fun. You’re an active listener, treat people respectfully, and have a strong desire to know and help others.
• Openness – Your default is to be open. You're willing to share information, understand other perspectives, and consider new possibilities. You’re curious, ask open questions, and are receptive to thoughts and feedback from others.
• Grit – You demonstrate grit by having the courage to commit and persevere. You’re committed, earnest, and dive in to get the job done well with a positive attitude.
• Integrity – Simply put, do what you say and say what you'll do. You’re honest and forthright, have a strong moral compass, and strive to match your words with your actions while leading by example.
• Simplicity – Be like Einstein: “Everything should be made as simple as possible, but no simpler.”

Technologies Used

Technologies may evolve as the platform matures, but current systems across the Justworks engineering organization include:

• Golang, Ruby on Rails, Javascript
• MySQL, Redis, ElasticSearch
• Kafka, Temporal
• AWS infrastructure
• Git and GitHub workflows
• Docker, Kubernetes
• Terraform
• CircleCI
• DataDog

Experience with the following areas is also helpful for this role:

• Headless CMS platforms (e.g., Contentful, Sanity, Strapi)
• Git-based content workflows and markdown repositories
• Knowledge retrieval systems and RAG architectures
• Search and indexing systems
• API-driven content platforms 

Qualifications

• 7+ years of experience as a software engineer building production systems
• Strong experience designing APIs and backend services that support multiple downstream consumers
• Experience working with structured content systems, CMS platforms, or knowledge management infrastructure
• Experience leading the technical implementation of complex systems and coordinating work across multiple engineers, including delegating implementation tasks and guiding architectural decisions
• Experience designing or integrating systems that support information retrieval or search
• Familiarity with modern AI tooling and experience integrating LLM-based workflows with structured knowledge sources
• Experience designing systems that model relationships between entities, policies, or domain concepts
• Strong collaboration skills and ability to work closely with non-engineering partners such as content strategists, designers, and product managers
• Ability to operate autonomously in ambiguous problem spaces and design pragmatic early-stage solutions

 

The base wage range for this position based in our New York City Office is targeted at $167,500.00 to $235,000.00 per year.