Senior Systems Engineer

Our Company

TADA brings together data from across your ecosystem, provides end-to-end visibility, and delivers actionable insights. We deliver powerful applications and tools for collaboration and orchestration for supply chain, procurement, production, and logistics. We power complex supply chains from small companies to Fortune 500 companies in discrete manufacturing, CPG, retail, healthcare providers, equipment dealers and distributors.

Our revolutionary platform with groundbreaking Digital Duplicateâ technology connects people, products, and processes to provide collaboration, orchestration, and visibility across your entire enterprise ecosystem. With our platform, we can unleash the magic of Data at supersonic speeds. Our unique Data Fabric and persona-based command centers connect data silos to increase revenue and drive efficiency.

For more information about TADA, please visit: tadanow.com.

Position Summary

We are seeking a Senior Systems Engineer with deep expertise in cloud platforms, AI technologies, and enterprise architecture to help scale and evolve the TADA platform and integrated solution suites. This individual will play a key role in designing platform strategy, driving technical innovation, and building scalable, intelligent systems in a fast-paced startup environment. The ideal candidate brings a strong background in platform engineering, architecture, and cloud-native development, along with a collaborative, solution-oriented mindset. The candidate will reside in or relocate to our corporate office location in Peoria, IL.

Key Responsibilities

• Design, build, and scale core platform capabilities and integrated solution suites across the TADA ecosystem.
• Lead architecture and development efforts for cloud-native, scalable, and secure systems.
• Drive integration strategy across APIs, microservices, cloud services, and enterprise platforms.
• Direct AI-enabled platform initiatives, including intelligent automation and data-driven solutions.
• Partner with Product Managers, Architects, and Engineering teams to align platform development with business and customer needs.
• Oversee technical direction through architecture reviews, mentorship, and engineering best practices.
• Execute and develop and optimize cloud infrastructure across AWS, Azure, and/or GCP environments.
• Manage and lead platform modernization, performance optimization, and system reliability initiatives.
• Direct agile development activities including sprint planning, design discussions, and code reviews.
• Lead architectural standards, technical decisions, and platform best practices.

Desired Profile

• Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical field required. PhD in a related field is a plus.
• Minimum of 5 years of professional experience in software engineering, systems engineering, platform engineering, or solution architecture roles.
• Strong background in enterprise platform architecture, integrated system design, and cloud-native application development.
• Demonstrated experience building and scaling platform ecosystems and integrated technology suites.
• Deep knowledge of cloud computing platforms and services, including AWS, Azure, and/or GCP.
• Experience designing and implementing scalable APIs, distributed systems, microservices, and platform infrastructure.
• Strong understanding of AI/ML technologies, intelligent automation, large language model integrations, data-driven architectures, and emerging AI platform capabilities.
• Experience working across full-stack technologies, including modern front-end frameworks (such as React) and back-end development using languages such as Python, Node.js, C/C , or similar technologies.
• Strong understanding of system architecture principles, security best practices, performance optimization, and scalability considerations.
• Experience leading technical initiatives, conducting design reviews, mentoring engineers, and influencing architectural direction.
• Familiarity with Git, CI/CD pipelines, DevOps practices, infrastructure-as-code, and agile development methodologies.
• Excellent communication, collaboration, and stakeholder engagement skills.
• Self-starter who thrives in a dynamic startup environment with evolving priorities and rapid growth initiatives.

Our Tech Stack

You will be working across a polyglot Enterprise Saas codebase. Familiarity with some or all of the following is expected:

• Languages: Python, JavaScript, TypeScript, Java, Kotlin, C#, .NET
• AI Tooling: Claude Code, Anthropic Claude API, LLM prompt engineering
• DevOps/CI/CD: Git, GitHub/GitLab, automated testing, deployment pipelines
• Platform: Enterprise SaaS (cloud-hosted, multi-tenant)