Lead Software Engineer

Quantum Technologies. LLC; Chicago (IL); On-site; USD 81,000 - 115,000; Full time

Job summary

Quantum Technologies. LLC seeks a hands-on Lead Software Engineer in Chicago to design, develop, and scale cloud-native solutions. You will lead architecture, APIs, testing, and deployment while driving adoption of Generative AI, LLMs, and data-driven capabilities.

Responsibilities include mentoring engineers, setting engineering standards, and collaborating with product, cybersecurity, and infra teams to ensure production readiness and secure, scalable delivery.

Qualifications

• 8+ years of progressive software engineering experience across APIs and distributed systems.
• Experience leading technical delivery through full SDLC, architecture to deployment.
• Strong knowledge of API integration, CI/CD, DevOps, and production support.
• Working knowledge of cloud platforms and containerization.

Responsibilities

• Lead architecture, design, and deployment of scalable cloud-native applications.
• Evaluate emerging tech including Generative AI, LLMs, and data-driven apps.
• Translate requirements into technical designs, roadmaps, and plans.
• Develop secure, scalable applications with microservices and APIs.
• Mentor engineers, set standards, and conduct design reviews.
• Collaborate with product, cybersecurity, data, and infra teams.
• Define proof-of-concept criteria, tests, and production readiness.

Skills

Architectural design

SDLC leadership

API integration

CI/CD & DevOps

Distributed systems

Cloud platforms knowledge

Analytical & communication

Tools

Kubernetes

Terraform

CloudFormation

CI/CD tooling

APIs

Job description

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Title: Lead Software Engineer

Location: Chicago, IL

Duration: 6 Months + Extension

Bill Rate: $71/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Job Description:

We are seeking a hands-on Lead Software Engineer - Emerging Technology & AI Cloud Solutions to design, develop, and scale innovative software solutions using modern engineering practices, cloud technologies, and emerging AI capabilities. The ideal candidate will combine strong software development expertise with technical leadership, solution architecture, and the ability to take proof-of-concept solutions into production.

Key Responsibilities

• Lead the architecture, design, development, testing, and deployment of scalable software applications and cloud-native solutions.
• Evaluate and implement emerging technologies, including Generative AI, LLMs, agentic AI, RAG, APIs, automation, and data-driven applications.
• Translate business requirements into technical designs, architecture patterns, roadmaps, and implementation plans.
• Develop secure, scalable, maintainable applications using modern programming languages, APIs, microservices, and distributed systems.
• Guide and mentor engineers, conduct design reviews, and establish reusable engineering standards and best practices.
• Collaborate with product, architecture, cybersecurity, infrastructure, data, and business teams.
• Establish proof-of-concept success criteria, automated testing, performance metrics, monitoring, and production readiness standards.
• Identify technical risks, security concerns, integration dependencies, and operational challenges throughout the SDLC.
• Support responsible AI adoption, including model evaluation, governance, data privacy, security, and compliance.

Required Qualifications

• 8+ years of progressive software engineering experience, including hands-on development of complex applications, APIs, distributed systems, or cloud-native platforms.
• Experience leading technical delivery across the full SDLC, from requirements and architecture through development, testing, and deployment.
• Strong knowledge of software architecture, API integration, automated testing, CI/CD, DevOps, and production support.
• Working knowledge of cloud platforms, containerization, infrastructure automation, and modern integration patterns.
• Excellent analytical, problem-solving, decision-making, communication, and technical leadership skills.

Preferred Qualifications

• Experience with Generative AI, LLMs, agentic workflows, RAG, vector databases, machine learning, or prompt engineering.
• Experience moving emerging technology solutions from proof of concept to production.
• Knowledge of responsible AI, model evaluation, guardrails, cybersecurity, data privacy, and enterprise governance.
• Familiarity with AWS, Azure, or GCP; Kubernetes; serverless computing; microservices; event-driven architecture; and infrastructure-as-code.
• Experience mentoring engineers and influencing technical direction across teams.
• Cloud, AI/ML, or Software Architecture certifications are a plus.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.