Lead Software Engineer

Ethereum Technologies; Chicago (IL); On-site; USD 83,000 - 113,000; Full time

Job summary

Ethereum Technologies in Chicago, IL is seeking a hands-on Lead Software Engineer to design, develop, and scale cloud-based software solutions. This 6-month engagement, with extension potential, requires leadership across architecture, development, and production readiness.

You will drive emerging technologies such as Generative AI, LLMs, and automated testing, mentor engineers, and collaborate with product, cybersecurity, and infrastructure teams to deliver robust, scalable systems.

Qualifications

• 8+ years of progressive software engineering experience.
• Experience leading delivery across the full SDLC.
• Strong knowledge of cloud, APIs, and distributed systems.
• Excellent leadership, communication, and problem-solving skills.

Responsibilities

• Lead architecture, design, development, testing and deployment of cloud-native apps.
• Evaluate emerging technologies including Generative AI, LLMs, and AI-assisted tooling.
• Translate business needs into technical designs and roadmaps.
• Mentor engineers and establish engineering standards.
• Collaborate with product, security, infrastructure, and data teams.
• Ensure production readiness with testing, monitoring, and performance metrics.

Skills

Software architecture

API integration

CI/CD

DevOps

Tools

Kubernetes

Docker

AWS

Terraform

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

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

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

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.