Lead Software Engineer

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

Job summary

Cloud Analytics Technologies, LLC in Chicago seeks a hands-on Lead Software Engineer for Emerging Technology & AI Cloud Solutions to design, develop, and scale software using modern engineering practices, cloud platforms, and AI capabilities.

You will lead architecture, mentor engineers, translate business needs into technical roadmaps, and drive PoCs into production with a focus on security, reliability, and operational excellence.

Qualifications

• 8+ years in software engineering with APIs, distributed systems, or cloud-native apps.
• Experience leading full SDLC delivery and production deployments.
• Strong knowledge of CI/CD, API integration, and DevOps practices.
• Familiarity with Generative AI, LLMs, or AI cloud solutions is a plus.
• Experience with cloud providers and Kubernetes is preferred.

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.

Skills

Software architecture

API integration

CI/CD

DevOps

Production support

Cloud platforms

Kubernetes

Serverless

Tools

AWS

Azure

GCP

Kubernetes

Terraform

CI/CD pipelines

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.

Some of our Business Ventures - Knowledge Analytics

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