Platform Engineer

Senior Staff Software Engineer

Bill Rate: *** Location: Remote/North Chicago Area Position Summary We are seeking a highly skilled Senior Staff Software Engineer to design, build, and scale next-generation AI platforms and intelligent systems. The ideal candidate will possess strong software engineering fundamentals, deep expertise in distributed systems, cloud-native infrastructure, machine learning platforms, and operational excellence. This role involves developing production-grade AI applications, shared services, internal platforms, and foundational infrastructure that support large-scale AI workloads across enterprise environments.

Key Responsibilities

• Design, develop, and maintain scalable software systems using C/C++, Python, Go, Rust, Node.js, and other modern programming languages.
• Build advanced AI solutions including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) pipelines, agentic AI systems, vector databases, and multi-agent architectures.
• Research, design, and optimize high-performance AI workloads for CPU, GPU, and heterogeneous computing environments.
• Develop internal platforms, SDKs, shared services, and infrastructure components that accelerate engineering productivity.
• Create rapid prototypes and production-ready solutions while maintaining high standards of software quality and maintainability.
• Design and implement inference serving platforms for deep learning and generative AI applications.
• Establish engineering best practices for testing, debugging, CI/CD, automated deployments, monitoring, observability, incident management, and operational excellence.
• Drive architecture reviews, technical strategy, and platform modernization initiatives.
• Collaborate with data scientists, ML engineers, platform engineers, security teams, and product stakeholders to deliver enterprise-scale AI solutions.
• Manage Kubernetes-based environments including cluster lifecycle management, version upgrades, service mesh administration, GitOps workflows, and Argo-based deployments.
• Implement secure authentication and authorization mechanisms using SSO, OAuth2, OIDC, SCIM, and enterprise identity governance frameworks.

YOE 5+ years Additional: Years of experience/education and/or certifications required: 5 Years min and AWS Certification

What are the top 3-5 skills requirements should this person have?

• Strong software engineering background with systems programming experience in languages like C/C++, Python, Go, Node, and Rust, plus solid fundamentals in data structures, algorithms, and concurrency.
• Experience in rapid prototyping with Python, along with knowledge of software engineering principles and foundational computer science.
• Familiarity with AI/ML development, including fine-tuning large language models, multi-agent systems, RAG pipelines, vector databases, and deep learning frameworks like TensorFlow and PyTorch.
• Understanding of advanced compute and infrastructure topics such as GPUs, heterogeneous accelerators like cuda, modern inference serving, shared services, internal platforms, testing, CI/CD and Kubernetes.
• Basic knowledge of identity and access management concepts, including SSO, OAuth/OIDC, SCIM, authentication protocols, access lifecycle management, and identity governance.

What is a nice to have (but not required) regarding skills, requirements, experience, education, or certification?

Master's in computer science, Artificial Intelligence, Machine Learning, Distributed Systems, platform engineering and developer experience (DevEx) or a related field.

EEO: "Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."