American IT Systems

Design and implement automated test frameworks and scripts using C# and test tools, integrate testing into CI/CD pipelines, perform root cause analysis, and collaborate with development teams. | 5-8+ years experience as Automation SDET with strong proficiency in C#, Python, or JavaScript/TypeScript, hands-on experience with NUnit, MSTest, SpecFlow, Selenium or Playwright, CI/CD tools like Azure DevOps, SQL querying skills, Git branching knowledge, strong analytical skills, and excellent communication. | Skills No. of years of experience Detailed Write Up Total No. of Years of experience Minimum 5-8 years of experience as an Automation SDET Must have Strong proficiency in C#, Python, or JavaScript/TypeScript. Must have Hands-on experience with test frameworks such as NUnit, MSTest, SpecFlow, Selenium, PlayWright, or similar. Must have Experience with CI/CD tools (e.g., Azure DevOps) and test case management systems. Must have Solid understanding of relational databases and ability to write SQL queries. Familiarity with Git and branching strategies (e.g., Git Flow, Trunk-Based Development). Strong analytical and debugging skills, with experience in root cause analysis. Preferred: Exposure to financial services or mortgage systems Preferred: Experience building Enterprise Test Automation Framework Preferred: Knowledge of API testing and service virtualization. Preferred: Experience mentoring junior testers or developers. Preferred: Experience with security testing or performance testing frameworks. Must have Excellent communication and collaboration skills.

Design and implement scalable, resilient architectures on Google Cloud Platform, lead enterprise integration strategies, and mentor engineering teams. | 6+ years of Google Cloud Platform experience and 10+ years in data architecture with expertise in enterprise integration and scalable data platforms. | Solution Architect with Google Cloud Platform Remote- Bentonville AR Mandatory Areas Must Have Skills Google Cloud Platform Data Solution Architect Skill 1 6 + Years of in Google Cloud Platform Skill 2 10 + Years of Exp in Data Architecture Summary Seeking a highly experienced Solution Architect with deep expertise in enterprise integration and scalable data platforms. This role is responsible for designing, modernizing, and implementing resilient architectures that support large-scale, business-critical systems. The role requires experience in various industry verticals, including energy, financial services, and automotive. The architect will collaborate with senior stakeholders, product owners, and engineering teams to translate business outcomes into scalable, secure, and future-ready solutions Key Responsibilities Design and implement scalable architectures capable of processing billions of transactions/data points daily. Lead enterprise integration strategy across on-prem, Google Cloud Platform cloud, and hybrid platforms . Partner with business and product leaders to define roadmaps, technology blueprints, and solution standards. Build and modernize data platforms to handle high-volume, mission-critical workloads. Introduce observability, monitoring, and reliability engineering practices to ensure system health and resiliency. Serve as design authority and mentor cross-functional engineering teams in solution delivery. Ensure compliance with service level objectives (SLOs), availability, and performance benchmarks for all critical systems. Collaborate with distributed teams and vendors to deliver.

Lead audit consulting engagement assessing Azure Databricks and Azure DevOps infrastructure, deliver audit reports, and provide recommendations for scaling and optimization. | 8+ years cloud architecture experience with strong Azure Databricks, Azure DevOps, Terraform skills, audit experience, and excellent communication. | Job Title: Cloud Architect Location: REMOTE (PST ) Years of Experience: 8+ Years Job Summary: We are seeking an experienced Cloud Architect to lead an audit consulting engagement focused on assessing the client s current Databricks implementation on Azure and its integration with Azure DevOps. The primary goal of this engagement is to evaluate the existing setup, identify gaps, and provide actionable recommendations for scaling from Proof of Concepts (PoCs) to full production. Responsibilities: • Conduct an As Is assessment of the client s current Azure DevOps and Databricks infrastructure. • Review and validate existing PoCs to determine scalability and production readiness. • Assess and recommend Terraform / Infrastructure as Code (IaC) practices to enable automation and standardization. • Deliver a detailed audit report with best practices, risks, and optimization opportunities. • Collaborate with client stakeholders to support design efforts and roadmap definition. • Provide guidance on infrastructure deployment practices and cost optimization strategies. Key Outcomes: • Comprehensive audit report of current Databricks on Azure environment. • Recommendations for scaling PoCs to production. • Actionable roadmap and proposal options for future implementation. Mandatory Skills: • 8+ years of experience in Cloud Architecture and Infrastructure. • Strong expertise in Azure Databricks (architecture, governance, scaling, and operations). • Hands on experience with Azure DevOps pipelines and integration. • Deep knowledge of Terraform for automation. • Proven track record in conducting IS Audits, infrastructure assessments, and providing best practice recommendations. • Excellent Stakeholder Management and Effective Communication skills. Preferred Skills: • Experience with cloud security best practices. • Familiarity with other cloud platforms (AWS, Google Cloud Platform) • Certifications in Azure or related technologies. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. A master's degree or relevant certifications are a plus.

Lead and own internal engagements to optimize EDA simulation workflows and HPC infrastructure solutions for stakeholders. | Requires expertise in EDA workflows and tools, HPC simulation software, scripting skills, and ability to manage complex projects. | Title: EDA Solution Architect (Electronic Design Automation) Location: REMOTE REMOTE Position Description: We are looking to add a Solutions Architect with a background in Electronic Design Automation (EDA) to help us accelerate innovation in this rapidly growing critical area. As an EDA Solutions Architect, you are responsible to lead and own internal engagements on optimizing the EDA simulation workflows at Applied. You will work closely with various stakeholders with varying needs to identify the best on-premise and cloud-based HPC solutions. You play a critical role in enabling Applied to maintain its leadership role in materials engineering and capture expanding new market opportunities. Responsibilities: Demonstrate expertise in the use of EDA design and simulation software suites such as Synopsis, Cadence, Mentor Graphics, and Ansys. Demonstrate expertise in Bash shell scripting and Perl script for customization of EDA tools (Synopsys, Cadence) Gain a deep knowledge of stakeholders’ design and simulation workflows and computing needs to help optimize and accelerate their workflows. Serve as the EDA subject matter expert (SME) in the development of on-premise and cloud-based HPC infrastructure solutions. Work independently to analyze technical needs, requirements, the customer’s current infrastructure, operations, and workflows. Help stakeholders identify and leverage on-premise and cloud HPC computing resources. Assist new teams get up-to-speed with Applied best practices in procurement, computing, IP protection and security. Help stakeholders identify and adopt best practices for simulation data management. Lead continuous enhancement and exploratory work to design, develop, test and deploy new software and hardware solutions. Identify potential and emerging technologies relevant to innovation for Applied Materials. Understand stakeholder technical and business problem statement in detail to identify strategic alignment and optimize recourse allocation across company. Lead overall architectural design area of a project and solutions to address the stakeholders’ business requirements. Key Qualifications: B.S. in engineering, computer science, math, physics or equivalent Expertise in EDA workflows for chip design such as functional verification, physical design, physical verification, static timing analysis etc. Know best practices and have hands-on experience with Cadence (Allegro, Virtuoso, Sigrity, etc.), Synopsys (Sentaurus, TCAD, VCS, etc.), ANSYS (HFSS, Icepack, SIwave, etc.), Mentor Graphics, and Xilinx products. General knowledge in high-performance computing (HPC) using at least one HPC simulation software (such as packages from ANSYS, Cadence, Synopsys, etc.). Ability to manage multiple projects which are complex in nature and coordinate colleagues across diverse teams and locations. Job Type: Full-time Pay: $90,000.00 - $94,000.00 per year Work Location: Remote