Senior Software Engineer

1872 Consulting; Houston (TX); Hybrid; USD 94,000 - 129,000; Full time

Job summary

1872 Consulting is seeking a Senior Software Engineer to join its Data & AI Engineering team in a hybrid role based in the Houston area. You will design and build scalable full-stack applications using C#/.NET, React/Next.js, and Azure, with an emphasis on greenfield development.

The ideal candidate has 5+ years of professional experience, strong fundamentals in software design, and the ability to own features end-to-end, from design through production.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or related field.
• Minimum 5 years of professional software engineering experience.
• Strong proficiency in C#/.NET, React/Next.js, Azure.

Responsibilities

• Design, develop, test, deploy, and maintain scalable full-stack web applications using C#, .NET, React/Next.js, TypeScript, and Azure.
• Take ownership of complex features from design through production support.
• Contribute to software architecture, design decisions, and technical direction.
• Develop and integrate RESTful APIs, microservices, and cloud-based services.
• Collaborate with product managers, designers, engineers, and stakeholders to define requirements.
• Write clean, secure, and well-tested code.
• Participate in code reviews and problem-solving discussions.
• Troubleshoot and optimize performance across frontend, APIs, and databases.

Skills

C#/.NET

React/Next.js

Azure

RESTful APIs

SQL/NoSQL

Education

Bachelor's degree in CS or related

Tools

Git

CI/CD

Job description

Senior Software Engineer – Full Stack (.NET / React / Azure)

Location: Chicago, IL | New York, NY | Dallas, TX | Houston, TX

Work Arrangement: Hybrid – 3 days onsite per week (typically Monday–Wednesday)

Employment Type: Full-Time, Direct Hire

Salary Range by Location:

• Chicago: $98,300–$135,200
• New York: $107,300–$147,500
• Houston: $93,900–$129,000

About the Opportunity

We are partnering with a leading global law firm seeking a Senior Software Engineer to join its growing Data & AI Engineering team.

This position offers the opportunity to build modern, scalable, enterprise-grade applications, with a strong emphasis on greenfield development rather than maintaining legacy systems.

The ideal candidate is a hands-on full-stack engineer who enjoys solving complex technical problems, taking ownership of application features, and contributing to technical design and architecture decisions.

The engineering team values strong technical fundamentals, collaboration, problem-solving, and the ability to learn new technologies. While the primary stack includes .NET, React/Next.js, and Azure, candidates with comparable technical backgrounds are encouraged to apply.

Key Responsibilities

• Design, develop, test, deploy, and maintain scalable full-stack web applications using technologies such as C#, .NET, React/Next.js, TypeScript, and Azure
• Take ownership of complex application features from technical design through implementation, deployment, and production support
• Contribute to software architecture, application design, and technical decision-making
• Develop and integrate RESTful APIs, microservices, and cloud-based application services
• Collaborate with product managers, designers, engineers, and business stakeholders to define requirements and deliver new application capabilities
• Write clean, maintainable, secure, and well-tested code
• Participate in code reviews, peer design discussions, and collaborative problem-solving
• Troubleshoot and optimize application performance across frontend applications, APIs, services, and databases
• Apply security best practices, including authentication, authorization, and data protection
• Work alongside dedicated DevOps engineers to support CI/CD pipelines, cloud deployments, and production operations
• Provide technical guidance and knowledge sharing to less experienced engineers
• Explore opportunities to improve engineering productivity through modern development practices and AI-assisted tools

Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, a related field, or equivalent professional experience
• Minimum 5 years of professional software engineering experience, excluding internships
• Strong proficiency in C#/.NET, React/Next.js, Azure, or comparable development technologies
• Experience designing and developing scalable RESTful APIs and backend services
• Understanding of software design patterns, object-oriented programming, and application architecture
• Hands-on experience with relational or NoSQL databases, such as SQL Server, PostgreSQL, or MongoDB
• Experience delivering production-quality software with attention to performance, reliability, security, and maintainability
• Familiarity with Git, Agile development methodologies, and collaborative code reviews
• Understanding of cloud deployment concepts and CI/CD practices
• Strong analytical, problem-solving, and communication skills, including the ability to explain technical concepts to nontechnical stakeholders

Preferred Qualifications

• Experience developing greenfield applications and building new software capabilities from the ground up
• Experience independently owning complex application features and contributing to technical architecture
• Strong experience with React, Next.js, TypeScript, C#/.NET, and Microsoft Azure
• Experience with Docker, Kubernetes, Azure Container Apps, or similar containerization technologies
• Familiarity with serverless computing and cloud-native application architecture
• Experience implementing automated testing frameworks and unit testing practices
• Exposure to application performance monitoring, observability, and production troubleshooting
• Experience developing or integrating AI-enabled capabilities, including intelligent search, document summarization, knowledge assistants, or LLM-based services
• Familiarity with AI-assisted development tools such as GitHub Copilot or similar technologies
• Experience mentoring junior engineers or providing technical guidance through code reviews and peer collaboration