PingOne Identity Architect Location: US or Canada - Remote About the Role We are seeking a Senior Identity and Access Management (IAM) Engineer with deep expertise in Ping Identity solutions and AWS architecture. This role is a 50/50 mix of design and hands-on development, requiring someone who can lead complex IAM projects, guide the team, and execute independently. The primary focus will be Customer Identity and Access Management (CIAM), integrating third-party and B2B applications using Ping as the core infrastructure. Key Responsibilities - Design and build IAM solutions leveraging PingFederate, PingDirectory, and PingOne. - Implement OIDC/OAuth protocols and manage secure token exchange. - Develop and deploy complex AWS-based architectures, including Lambda, Kafka, OpenSearch, and Terraform for automation. - Onboard third-party and partner applications into CIAM systems. - Collaborate on PingOne DaVinci workflows and PingOne MFA integrations. - Ensure scalability, security, and monitoring of IAM systems using AWS-native tools. - Work independently to deliver solutions and provide technical leadership to the team. Required Skills & Experience - Strong hands-on experience with PingFederate, PingDirectory, and PingOne. - Familiarity with PingOne DaVinci, PingOne MFA, and risk-based solutions like PingOne Protect. - Expertise in AWS services (Lambda, Kafka, OpenSearch) and Terraform. - Deep understanding of OIDC/OAuth and token exchange mechanisms. - Experience with CIAM implementations and onboarding external apps. - Ability to design and build complex IAM solutions from scratch. - Excellent communication and problem-solving skills. Nice-to-Have - Experience with PingOne Advanced Services (managed hosting). - Knowledge of risk evaluation and adaptive authentication. About Simeio Simeio is a global leader in Identity and Access Management (IAM), with over 650 employees across offices in the USA (Atlanta HQ and Texas), India, Canada, Costa Rica, and the UK. Founded in 2007 and backed by private equity firm ZMC, Simeio is recognized by industry analysts as a top IAM provider. We deliver services across access management, identity governance and administration, privileged access management, and risk intelligence—partnering with leading IAM software vendors to support on-premise, cloud, and hybrid environments. Our clients include Fortune 1000 companies across industries such as financial services, technology, healthcare, media, retail, public sector, utilities, and education. Diversity & Inclusion Simeio is an equal opportunity employer. If you require assistance with completing this application, interviewing, or participating in the selection process, please let us know. Simeio is an equal opportunity employer. If you require assistance with completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to any of the recruitment team at recruitment@simeio.com or +1 404-882-3700.

This is a remote position. Principal Quality Automation Architect We are seeking a Principal Quality Automation Architect to define and lead enterprise-wide automation strategy across AI-driven applications, data platforms, and cloud environments. This role will be responsible for designing scalable, modern test automation frameworks that ensure the quality, reliability, and performance of solutions built across AWS, Azure, Tableau, Power BI, and DealCloud CRM integrations. This is a highly strategic, hands-on leadership role focused on building next-generation QA automation capabilities, particularly for AI/ML systems, data pipelines, and distributed cloud architectures. Key Responsibilities - Define and lead the enterprise test automation architecture and strategy across applications, data, and AI platforms - Design and implement scalable automation frameworks for UI, API, data, and AI/ML validation - Establish automation standards, tools, and best practices across AWS and Azure ecosystems - Architect automation solutions for data pipelines (ETL/ELT), data lakes, and analytics platforms - Build frameworks to validate outputs from AI/ML models, including accuracy, consistency, and regression testing - Integrate automated testing into CI/CD pipelines to enable continuous quality validation - Drive shift-left testing practices, embedding quality early in the development lifecycle - Oversee performance, load, and resilience testing strategies for high-scale applications - Partner with architecture, data, and engineering teams to ensure testability and observability - Provide technical leadership and mentorship to QA engineers and automation teams - Evaluate and implement modern tools for test automation, data validation, and AI testing Requirements Required Qualifications - 10+ years of experience in Quality Engineering, Test Automation, or QA Architecture - Proven experience designing and implementing enterprise-level automation frameworks - Strong hands-on experience with automation tools (e.g., Selenium, Cypress, Playwright, or similar) - Experience with API testing frameworks and microservices architectures - Deep understanding of cloud platforms (AWS and/or Azure) - Strong experience validating data pipelines, ETL/ELT processes, and data platforms - Experience with CI/CD tools (e.g., Jenkins, GitHub Actions, Azure DevOps) and DevOps practices - Strong programming/scripting experience (e.g., Python, Java, or JavaScript) - Expertise in SQL and data validation techniques Key Traits for Success - Strategic thinker with the ability to design scalable QA ecosystems - Hands-on technical leader who can both architect and execute - Strong cross-functional collaboration skills - Passion for building modern, automation-first quality practices - Ability to operate in a greenfield AI environment

This is a remote position. Data Architect – AI & Cloud Data Platforms We are seeking a highly skilled Data Architect to design and lead the development of modern data ecosystems that support AI-driven solutions and client-facing applications. This role will be responsible for building scalable data architectures across cloud platforms, enabling advanced analytics, and supporting machine learning and AI initiatives. The ideal candidate has deep experience with AWS and Azure, strong expertise in data modeling and pipeline design, and a proven ability to integrate data across platforms including BI tools and CRM systems such as DealCloud. Key Responsibilities - Design and implement scalable, cloud-based data architectures across AWS and Azure - Develop and maintain enterprise data models (conceptual, logical, and physical) - Build and optimize data pipelines (ETL/ELT) to support analytics, reporting, and AI/ML use cases - Architect solutions that integrate data from multiple sources, including CRM systems (DealCloud) and third-party platforms - Partner with analytics teams to enable reporting through Tableau and Power BI - Define and enforce data governance, quality, and security standards - Design data frameworks to support AI/ML workloads, including feature engineering and model-ready datasets - Collaborate with application architects and engineers to ensure seamless data integration within applications - Optimize performance of data warehouses, data lakes, and real-time data processing systems - Evaluate and recommend tools and technologies to enhance the data ecosystem Requirements Required Qualifications - 7+ years of experience in data architecture, data engineering, or related roles - Strong experience with cloud data platforms (AWS and/or Azure) - Expertise in data modeling, data warehousing, and data lake architecture - Hands-on experience with ETL/ELT tools and data pipeline design - Experience supporting BI tools such as Tableau and Power BI - Strong SQL skills and experience with at least one programming language (Python preferred) - Experience integrating data from CRM platforms (DealCloud or similar) - Understanding of data governance, data quality, and security best practices Key Traits for Success - Ability to translate business needs into scalable data solutions - Strong collaboration skills across engineering, analytics, and business teams - Strategic mindset with the ability to design for future AI scalability - Strong attention to data integrity, performance, and usability

This is a remote position. Application Architect – AI Solutions We are seeking an experienced Application Architect to design and lead the development of scalable, AI-driven solutions for our client-facing applications. This role will be instrumental in shaping modern architectures across cloud platforms, data ecosystems, and business intelligence tools. The ideal candidate brings a strong background in cloud architecture (AWS and Azure), data platforms, and AI/ML integration, along with experience building solutions that integrate with CRM systems such as DealCloud. Key Responsibilities - Lead the architecture, design, and development of AI-enabled applications and platforms - Define scalable, secure, and high-performing solutions across AWS and Azure environments - Partner with data teams to design architectures that leverage Tableau and Power BI for analytics and reporting - Design and implement data pipelines and integrations across multiple systems, including CRM platforms like DealCloud - Translate business requirements into technical architecture, system design, and solution roadmaps - Evaluate and implement AI/ML models, APIs, and services (e.g., NLP, predictive analytics, generative AI use cases) - Establish architecture standards, best practices, and governance frameworks - Collaborate with engineering teams to ensure proper implementation of architecture designs - Provide technical leadership and mentorship to developers and engineers - Ensure solutions meet security, compliance, and performance requirements Requirements Required Qualifications - 7+ years of experience in application architecture or solution architecture roles - Strong hands-on experience with AWS and/or Microsoft Azure cloud platforms - Experience designing systems that integrate with data visualization tools such as Tableau and Power BI - Proven experience building enterprise-level applications and distributed systems - Strong understanding of data architecture, ETL processes, and API integrations - Experience working with or integrating CRM platforms (DealCloud or similar) - Knowledge of AI/ML concepts and frameworks (e.g., model integration, data pipelines, inference services) - Proficiency in modern programming languages (e.g., Python, Java, or .NET) - Experience with microservices architecture and RESTful APIs Key Traits for Success - Strong ability to bridge business needs and technical solutions - Excellent communication and stakeholder management skills - Strategic thinker with a hands-on, solution-oriented mindset - Ability to work in a fast-paced, evolving AI-driven environment