Senior Software Engineer

IL LLP•Chicago, IL

About The Position

We are seeking a Software Engineer to join our Data & AI Engineering team to build modern, scalable web applications using technologies such as React, .NET, Next.js, and Azure. This role is open to both experienced engineers and high-potential early-career candidates (e.g., recent Master’s graduates in Computer Science or related fields). Responsibilities and level of ownership will be calibrated based on experience. Experienced candidates will take ownership of complex features, contribute to architectural decisions, and help raise engineering standards across the team. Early-career candidates will work closely with experienced engineers, contributing to meaningful features while developing strong production engineering skills through mentorship and hands-on experience.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience).
5+ years of experience in full-stack software development.
Strong experience with modern web technologies (e.g., React, .NET, Next.js, Azure or similar stacks).
Proven ability to design and build scalable APIs and/or microservices.
Experience with relational and/or NoSQL databases (e.g., SQL Server, PostgreSQL).
Experience with version control (Git) and Agile development practices.
Demonstrated ability to deliver production-quality software with strong attention to reliability, observability, and maintainability.
Master’s degree in Computer Science, Software Engineering, or related field (or equivalent practical experience).
Strong foundation in computer science fundamentals, including data structures, algorithms, and system design concepts.
Proficiency in at least one modern programming language (e.g., C#, TypeScript, Java, Python).
Hands-on experience through internships, research, or substantial academic/personal projects.
Familiarity with web development concepts (front-end frameworks, APIs, databases, or cloud platforms).
Demonstrated ability to learn quickly, solve problems, and apply concepts in practical settings.
Strong organizational skills
Strong attention to detail
Good judgment
Strong interpersonal communication skills
Strong analytical and problem-solving skills
Able to work harmoniously and effectively with others
Able to preserve confidentiality and exercise discretion
Able to work under pressure
Able to manage multiple projects with competing deadlines and priorities
Applicants must be authorized to work in the United States without the need for employer sponsorship, now or in the future

Nice To Haves

Experience with containerization and orchestration (e.g., Docker, Kubernetes, Azure Container Apps).
Familiarity with cloud-native and serverless architectures.
Experience with automated testing frameworks and best practices.
Exposure to Azure or other major cloud platforms.
Experience building or integrating AI-enabled features (e.g., search, summarization, knowledge assistants) or working with LLM/AI services.

Responsibilities

Design, develop, test, and maintain scalable full-stack applications using modern technologies (e.g., .NET, React/Next.js, Azure).
Contribute to the delivery of features from technical design through implementation, deployment, and production support (scope based on experience).
Collaborate with product managers, designers, and engineers to define and deliver new capabilities.
Write clean, maintainable, and well-tested code, with attention to performance and reliability.
Participate in code reviews, both as an author and reviewer, to improve code quality and share knowledge.
Contribute to architectural discussions and propose improvements to systems and development practices.
Monitor and improve application performance, including front-end rendering, APIs, and database interactions.
Apply security best practices in application development, including authentication, authorization, and data protection.
Partner with DevOps to support CI/CD pipelines and cloud deployments on Azure.
For experienced engineers: mentor and support other engineers through collaboration, pairing, and feedback.
For early-career engineers: actively learn through mentorship, pairing, and feedback, and progressively take on more ownership over time.
Stay current with emerging technologies and contribute ideas for continuous improvement.