Lead Search Software Engineer

Incorporate AI coding tools such as Claude Code, GitHub Copilot, or Codex into daily development workflows to accelerate delivery and code quality

Review and validate AI-generated code for correctness, security, and alignment with team standards

Share effective AI-assisted development practices with teammates to improve team-wide productivity and velocity

Act as the team’s subject matter expert on search technologies, providing guidance and mentorship to engineers across skill levels

Conduct code reviews and uphold engineering standards across the team

Translate complex search and relevance concepts into clear, accessible language for non-technical stakeholders and product partners

Collaborate with product managers, data scientists, and other engineering teams to deliver search capabilities that power Dodge’s core products

Operate effectively in Agile/Scrum environments, contributing to sprint planning, estimation, and continuous improvement practices

Education Requirement

Bachelor’s degree in a related field or equivalent education and work experience.

Required Experience, Knowledge and Skills

5+ years of hands-on experience with Apache Solr and/or OpenSearch (schema design, indexing pipelines, query parsing, clustering, replication)

3+ years of professional .NET (C#) development, including asynchronous patterns and dependency-injection frameworks

Python proficiency for data processing, orchestration scripts, and ML prototypes

Proven track record deploying workloads on AWS (ECS/EKS, Lambda, S3, IAM, CloudFormation or CDK)

Solid understanding of search relevance concepts: tokenization, stemming, analyzers, boosting, query-time vs. index-time strategies

CI/CD and automated testing expertise (unit, integration, performance)

Excellent communication skills; able to simplify complex technical topics for non-technical stakeholders

Must have worked with AI-assisted development tools (Claude, Copilot, Codex, etc.)

Preferred Experience, Knowledge and Skills

Knowledge of search in construction or AEC industry datasets

Experience with Infrastructure as Code (Terraform, Pulumi)

Familiarity with container security best practices and AWS Well-Architected Framework

Familiarity with other distributed search technologies

About Dodge Construction Network

Dodge Construction Network exists to deliver the comprehensive data and connections the construction industry needs to build thriving communities. Our legacy is deeply rooted in empowering our customers with transformative insights, igniting their journey towards unparalleled business expansion and success. We serve decision-makers who seek reliable growth and who value relationships built on trust and quality. By combining our proprietary data with cutting-edge software, we deliver to our customers the essential intelligence needed to excel within their respective landscapes. We propel the construction industry forward by transforming data into tangible guidance, driving unparalleled advancement.