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Location
Hybrid (Kochi, India)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Aug 14, 2026.

Overview
Company
Impact
Profile match
Dodge Construction Network is an American construction data and intelligence company that tracks commercial construction projects and supplies project leads, market forecasts and building product information to contractors, manufacturers and building product suppliers. Its products include Dodge project data, The Blue Book Network directory and Sweets product catalogues, continuing a project reporting business that dates back to 1891. The company is headquartered in the United States.

Dodge Construction Network (Dodge) is looking for a seasoned, hands-on .NET developer with strong systems design and architecture experience to join our search engineering team. This role will work on the backend services and search APIs powering our critical applications, and will be trained on our search platform technologies.

This is a full-time position and reports directly to the VP, Data Architecture.

Preferred Location

Qualified candidates should be based in or near Kochi and able to work from our Kochi office as part of a hybrid schedule.

Essential Functions

Backend & API Engineering (.NET)

  • Design, build, and maintain secure, scalable RESTful APIs using .NET Core (C#) to support both internal systems and client-facing applications
  • Architect and implement authentication, authorization, and entitlements/access control systems to protect API endpoints and user data
  • Contribute to system design discussions, producing scalable, fault-tolerant architectures for distributed systems and applying event-driven patterns where appropriate
  • Collaborate with data engineering teams to design and optimize data ingestion and enrichment pipelines that feed search indexes
  • Incorporate AI coding tools (Claude Code, GitHub Copilot, Codex, etc.) into daily workflows; review and validate AI-generated code before merging
  • Ensure code quality through unit, integration, and performance testing; participate in code reviews and uphold engineering standards

Search Platform Engineering

  • Contribute to our scalable search infrastructure built on Apache Solr and/or OpenSearch, including schema design, indexing pipelines, and query parsing
  • Apply or develop knowledge of search relevance concepts: tokenization, stemming, custom analyzers, boosting rules, and query-time vs. index-time tuning
  • Support search cluster operations, replication, and high-availability in production environments
  • Help diagnose and resolve search performance issues, including slow queries, indexing bottlenecks, and relevance degradation

Cloud & Infrastructure

  • Build and deploy cloud-native applications on AWS (Lambda, API Gateway, S3, DynamoDB, RDS, Cognito, etc.)
  • Contribute to CI/CD pipelines and infrastructure-as-code (CloudFormation, Terraform, or CDK) to support reliable, repeatable deployments

Education Requirement

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

Required Experience, Knowledge and Skills

  • 5-10+ years of professional software development experience
  • Strong proficiency in .NET Core (C#), including asynchronous patterns and dependency-injection frameworks
  • Proven experience designing and developing secure, scalable RESTful APIs for internal and client-facing systems
  • Experience with authentication, entitlements, and access control systems
  • Solid experience with AWS services and strong knowledge of relational and NoSQL databases
  • Strong understanding of SDLC, Agile methodologies, and DevOps/CI/CD pipelines
  • Must have worked with AI-assisted development tools (Claude, Copilot, Codex, etc.)

Preferred Experience, Knowledge and Skills

  • Familiarity with Apache Solr, OpenSearch, or Elasticsearch (schema design, indexing, query parsing, clustering)
  • Understanding of search relevance concepts: tokenization, stemming, analyzers, and boosting strategies
  • Experience with infrastructure-as-code tools (CloudFormation, Terraform, CDK) and containerization (Docker, ECS, EKS)
  • Knowledge of event-driven architectures (SNS, SQS, EventBridge) and observability tools (CloudWatch, Datadog, Splunk)
  • Knowledge of search in construction or AEC industry datasets

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.

Dodge is the catalyst for modern construction.

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