• Strategic Account Alignment with top accounts for SI partners (Focus on Acceleration): • Unlock High-Impact Customer Journeys: Identify and prioritize AI/ML customer journeys for SI partner top accounts, focusing on quick wins and high consumption, informed by your understanding of SI partner needs. • Expedited POCs and RFPs: Provide support for partners during RFI/RFP processes and POCs, ensuring rapid turnaround and successful outcomes, informed by your SI proposal experience. • Rapid Deployment Frameworks: Develop and share best practices and POC frameworks specifically designed to accelerate the deployment of prioritized AI/ML customer journeys, based on your SI project implementation knowledge. • SI Partner Snowflake Practice Building (Focus on Production Readiness): • COE for Rapid Implementation: Collaborate on creating and managing Partner Snowflake Centers of Excellence (COE) with a focus on accelerating AI/ML deployments, leveraging your SI center of excellence experience. • Accelerated Capability Maturity: Drive partner capabilities maturity for each AI/ML product category, emphasizing hands-on skills and practical knowledge, informed by your SI skill development experience. • Targeted Communication: Deliver public webinars and product roadmap sessions focused on accelerating AI/ML implementation, drawing on your SI presentation and communication experience. • Work on Initiatives and Joint Solutions with SI partners (Focus on Market-Ready Solutions): • Rapid Joint Solution Development: Build or replatform Partner-led Joint Industry Solutions for AI/ML, focusing on speed to market, based on your SI solution development experience. • Asset Creation for Fast Implementation: Assist partners with asset creation for AI/ML product categories, focusing on templates, code samples, and deployment guides, drawing on your SI asset creation experience. • Customer Journey Alignment for Quick Wins: Align AI/ML customer journeys with Partner Solutions/Offerings, focusing on immediate value and quick wins, informed by your SI customer journey analysis experience. • AI/ML Focused work with SI partners (Hands-On Expertise): • Enable partners to leverage Cortex AI for gen AI customer journeys, including Cortex LLM, Fine Tuning, Search, and Analyst, with a focus on practical application. • Support partners in implementing end-to-end ML development and MLOps using Snowflake ML, emphasizing rapid deployment and operationalization. • Advise partners on using Cortex AI for unstructured data analytics, focusing on real-world customer journeys and quick results. • Mentor and guide junior cloud architects in our PSE team working on critical AI/ML engagements with our SI partners, aiming to accelerate their customer journeys, ensuring production readiness, and developing market-ready solutions. By sharing expertise and providing hands-on guidance, the Principal Data Cloud Architect will empower the junior team members to effectively support SI partners in deploying successful AI/ML solutions on the Snowflake AI Data Cloud.

Job Summary: The Senior Azure Architect Identity & Endpoint Engineer designs, implements, and manages enterprise identity and endpoint services within Microsoft Azure. This role serves as the technical authority for identity, access, and endpoint configuration services across cloud and hybrid environments. *This position is contingent upon contract award.* Job Duties and Responsibilities: Core Responsibilities - Design, implement, and maintain enterprise identity architectures within Microsoft Azure, supporting secure authentication, authorization, and access management across cloud and hybrid environments - Serve as the technical authority for identity and access management (IAM) solutions, including Microsoft Entra ID (Azure AD), ADFS, and hybrid identity integrations - Architect and manage endpoint engineering and device management solutions, leveraging Microsoft Endpoint Configuration Manager (MECM/SCCM) and Microsoft Intune - Define and enforce identity and endpoint standards, policies, and configurations to ensure consistency, security, and scalability across the enterprise. - Design and support identity federation, single sign-on (SSO), conditional access, and authentication flows across enterprise systems - Integrate identity and endpoint services with Azure-hosted workloads and on-premises infrastructure - Collaborate with Information Assurance and cybersecurity teams to design and implement security controls related to identity, access, and endpoint management - Support compliance, audit, and authorization activities by providing architecture documentation, control mappings, and technical guidance - Lead troubleshooting and resolution of complex identity and endpoint issues, including authentication failures, access problems, and device compliance issues - Evaluate and recommend improvements to identity and endpoint architectures, balancing security, usability, and operational impact - Guide system and platform engineers on identity integration patterns and endpoint management best practices - Maintain authoritative architecture diagrams, standards, and technical documentation for identity and endpoint services - Support lifecycle activities for identity and endpoint platforms, including upgrades, migrations, and modernization efforts - Participate in strategic planning and technical reviews to ensure identity and endpoint services align with enterprise architecture and mission needs Job Requirements (Education/Skills/Experience): Required Qualifications - Experience: - Minimum 4 years of relevant experience (with significant depth in identity and endpoint engineering) - Education: - Bachelor’s degree in IT, Cybersecurity, or related field - OR equivalent combination of education, training, and experience - Azure Expertise (Required): - Proven experience managing identity services within Microsoft Azure - Certifications (Required): - Microsoft Certified: Azure Administrator Associate or higher - Must meet DoD 8570 / 8140 IAT-II requirements (examples in the table include Security+, SSCP, GSEC, etc.) - Technical Expertise (Required): - Microsoft Entra ID (Azure AD) - ADFS and hybrid identity architectures - Microsoft Endpoint Configuration Manager (MECM / SCCM) - Microsoft Intune - Security Requirement: - Active Secret clearance This contractor and subcontractor shall abide by the requirements of 41 CFR 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity, national origin, or for inquiring about, discussing, or disclosing information about compensation, or any other basis prohibited by law. We participate in E-Verify.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking engineers to help design, build, and operate secure, scalable, and highly automated cloud platforms on AWS. This role is ideal for engineers who enjoy both hands-on delivery and contributing to technical direction through thoughtful design and ownership. Successful candidates will be assessed during the hiring process and placed into either a Cloud Engineering or DevOps Engineering role based on skills, experience, and interests. You will work with modern cloud technologies, automation, and AI-assisted tooling in a collaborative environment that values ownership, learning, and technical excellence. Responsibilities - Designing, implement, and evolve cloud-native solutions for infrastructure provisioning, configuration management, and deployment pipelines. - Owning production systems end-to-end, including design decisions, implementation, operational reliability, and iterative improvement. - Developing and maintain Infrastructure as Code and Configuration as Code using tools such as Terraform, CloudFormation, and Ansible. - Designing, implementing, optimizing, and own CI/CD pipeline tooling for application and infrastructure deployments using tools such as GitHub Actions or Jenkins. - Designing, implementing, and own high‑quality, maintainable code in a modern language like Python, and author reliable Bash or PowerShell scripts. - Using AI-assisted development tools (e.g., GitHub Copilot) and contribute to internal platforms that enable teams to build and deploy AI-enabled solutions using AWS Bedrock and WatsonX. - Implementing observability, monitoring, and alerting to ensure system reliability, scalability, performance, and cost efficiency. - Embedding security into infrastructure and delivery workflows by applying DevSecOps practices such as least-privilege access, secure defaults, and automated policy enforcement. - Collaborating effectively with application, platform, network, and security teams, clearly communicating requirements, tradeoffs, and design decisions. - Maintaining clear documentation and proactively explore and apply emerging technologies in cloud, DevOps, and AI. Qualifications - 3+ years of experience in software development, cloud engineering, or DevOps roles. - Experience operating automated infrastructure and delivery pipelines at scale. - Exposure to foundational AI concepts (e.g., LLMs, agentic patterns, RAG) and interest in applying AI to automation, developer tooling, or operational workflows. - Contributions to open-source projects. - AWS certification or equivalent cloud credentials. - Software engineering skills in Python (preferred) and Bash. Experience with Web development, Java, JavaScript, and/or PowerShell desirable. - Hands-on experience building and operating AWS-based systems using services such as EC2, ECS/EKS, RDS, S3, and Lambda. - Experience using Infrastructure as Code and Configuration as Code tools (Terraform, CloudFormation, Ansible). - Experience building and operating CI/CD pipelines in production environments. - Knowledge of containerization and orchestration technologies, including Docker and Kubernetes. - Working knowledge of AWS networking and security, including troubleshooting connectivity issues, defining security group rules, applying least-privilege IAM policies, and partnering with network and security engineers. - Ability to impact reliability, scalability, and performance, and make pragmatic tradeoffs in production systems. - Strong collaboration and communication skills, with the ability to influence technical outcomes across teams. - Demonstrated self-directed learning and curiosity—proactively seeking out and applying new technologies and approaches. - Familiarity with multi-cloud environments (AWS, Azure, GCP). - Experience working in Agile environments (Scrum or Kanban). Benefits - Programs and plans for a healthy mind, body, wallet, and life. - A variety of health coverage options. - Wellbeing and support programs. - Retirement plans. - Vacation and sick leave. - Maternity, paternity & adoption leave. - Continuing education and training. - A number of voluntary benefit options.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking engineers to help design, build, and operate secure, scalable, and highly automated cloud platforms on AWS. This role is ideal for engineers who enjoy both hands-on delivery and contributing to technical direction through thoughtful design and ownership. Successful candidates will be assessed during the hiring process and placed into either a Cloud Engineering or DevOps Engineering role based on skills, experience, and interests. You will work with modern cloud technologies, automation, and AI-assisted tooling in a collaborative environment that values ownership, learning, and technical excellence. Responsibilities - Designing, implement, and evolve cloud-native solutions for infrastructure provisioning, configuration management, and deployment pipelines. - Owning production systems end-to-end, including design decisions, implementation, operational reliability, and iterative improvement. - Developing and maintain Infrastructure as Code and Configuration as Code using tools such as Terraform, CloudFormation, and Ansible. - Designing, implementing, optimizing, and own CI/CD pipeline tooling for application and infrastructure deployments using tools such as GitHub Actions or Jenkins. - Designing, implementing, and own high-quality, maintainable code in a modern language like Python, and author reliable Bash or PowerShell scripts. - Using AI-assisted development tools (e.g., GitHub Copilot) and contribute to internal platforms that enable teams to build and deploy AI-enabled solutions using AWS Bedrock and WatsonX. - Implementing observability, monitoring, and alerting to ensure system reliability, scalability, performance, and cost efficiency. - Embedding security into infrastructure and delivery workflows by applying DevSecOps practices such as least-privilege access, secure defaults, and automated policy enforcement. - Collaborating effectively with application, platform, network, and security teams, clearly communicating requirements, tradeoffs, and design decisions. - Maintaining clear documentation and proactively explore and apply emerging technologies in cloud, DevOps, and AI. Qualifications - 3+ years of experience in software development, cloud engineering, or DevOps roles. - Experience operating automated infrastructure and delivery pipelines at scale. - Exposure to foundational AI concepts (e.g., LLMs, agentic patterns, RAG) and interest in applying AI to automation, developer tooling, or operational workflows. - Contributions to open-source projects. - AWS certification or equivalent cloud credentials. - Software engineering skills in Python (preferred) and Bash. Experience with Web development, Java, JavaScript, and/or PowerShell desirable. - Hands-on experience building and operating AWS-based systems using services such as EC2, ECS/EKS, RDS, S3, and Lambda. - Experience using Infrastructure as Code and Configuration as Code tools (Terraform, CloudFormation, Ansible). - Experience building and operating CI/CD pipelines in production environments. - Knowledge of containerization and orchestration technologies, including Docker and Kubernetes. - Working knowledge of AWS networking and security, including troubleshooting connectivity issues, defining security group rules, applying least-privilege IAM policies, and partnering with network and security engineers. - Ability to impact reliability, scalability, and performance, and make pragmatic tradeoffs in production systems. - Strong collaboration and communication skills, with the ability to influence technical outcomes across teams. - Demonstrated self-directed learning and curiosity—proactively seeking out and applying new technologies and approaches. - Familiarity with multi-cloud environments (AWS, Azure, GCP). - Experience working in Agile environments (Scrum or Kanban). Benefits - Programs and plans for a healthy mind, body, wallet, and life. - A variety of health coverage options. - Wellbeing and support programs. - Retirement plans. - Vacation and sick leave. - Maternity, paternity & adoption leave. - Continuing education and training. - A number of voluntary benefit options.