• Install, configure, and maintain OpenShift clusters on-premises. • Monitor cluster performance and troubleshoot issues to ensure optimal operation. • Manage user access and permissions within the OpenShift environment. • Implement and manage CI/CD pipelines to automate application deployment. • Work with development teams to optimize applications running on OpenShift. • Create and maintain documentation related to OpenShift configurations and procedures. • Stay updated with the latest OpenShift and Kubernetes features and best practices. • Collaborate with security teams to implement best security practices for containerized applications.

Role Description AOA is seeking a collaborative and detail-oriented Senior QA Engineer to guide our QA processes and champion the integration of AI into our quality assurance practices. You’ll play a key role in delivering exceptionally high-quality and performant applications while working closely with stakeholders to understand and align on business requirements and product specifications. In this role, you’ll guide the full QA lifecycle for AOA’s projects: - Partnering closely with engineering, UX/UI, product, and project management teams. - Managing QA across multiple concurrent client projects. - Moving comfortably between eCommerce builds, SaaS platforms, and AI-native apps. - Demonstrating adaptability, clear prioritization, and a team-first approach. The ideal candidate is organized, detail-oriented, and a strong communicator. You’ll enjoy: - Deeply understanding applications. - Spotting edge cases and catching issues before they reach production. - Developing and maintaining automated tests that uphold our high standards of quality. Responsibilities - Help shape a QA organization recognized for its high standards of quality, efficiency, and predictability. - Leverage generative AI, agentic testing, and self-healing automation to accelerate test creation, maintenance, and coverage. - Research, pilot, and implement AI-powered QA tools and methodologies to improve quality and reduce manual effort. - Collaborate with engineering and product teams to integrate AI-driven quality gates into delivery pipelines. - Develop and implement test plans, test cases, and test scripts for both automated and manual testing. - Design, build, and maintain automated test frameworks to streamline testing processes and improve efficiency. - Execute manual tests to identify bugs, defects, and usability issues. - Collaborate closely with development teams to understand project requirements and verify software functionality. - Perform regression testing, load testing, and performance testing to assess product quality and performance. - Analyze test results, troubleshoot issues, and communicate findings to relevant stakeholders. - Participate in Agile development processes, including sprint planning, daily stand-ups, and retrospectives. - Continuously evaluate and enhance QA processes, tools, and methodologies to optimize testing efforts. - Manage QA workstreams across multiple simultaneous client projects, coordinating timelines and priorities with project managers. Qualifications - Bachelor's degree in Computer Science, Engineering, or related field. - Proven experience in QA engineering, with a focus on both automation and manual testing. - Strong proficiency in one of the test automation tools/frameworks such as Cypress, Playwright, Selenium, Appium, Jest, or similar. - Solid understanding of software development lifecycle (SDLC) and Agile methodologies. - Excellent analytical and problem-solving skills, with meticulous attention to detail. - Effective communication skills, with the ability to collaborate across teams and articulate technical concepts. - Experience with version control systems (e.g., Git) and issue tracking tools (e.g., JIRA, Clickup). - Experience with programming languages such as JavaScript, Typescript. Preferred Qualifications - Experience in a client-focused environment, preferably within an agency. - Experience supporting eCommerce and/or SaaS brands. - Demonstrated enthusiasm and hands-on experience using AI tools in QA workflows. - Experience building client success processes/playbooks in a growing team. - Familiarity with website/platform builds (Shopify Plus, headless builds, or complex CMS implementations). Benefits - Direct, meaningful impact on our success. - Opportunities for growth and career development. - Supportive, collaborative environment.

Role Description When working at Honeywell, you are a member of our global team of thinkers, innovators, dreamers, and doers who make the things that make the future. That means changing the way we fly, fueling jets in an eco-friendly way, keeping buildings smart and safe, and even making it possible to breathe on Mars. Are you ready to make a difference, work on the most impactful projects influencing our business, and be at the heart of a revolution to create a world-class supply chain? In Supplier Engineering, we’re finding innovative, collaborative ways to improve delivery and quality of our suppliers, creating a vital link between our supply chain, internal factories, and our customers. Come be a part of a team of future shapers that: - Proactively reviews supplier capabilities, assesses operational gaps to identify risks, and takes systematic actions to develop a world-class supplier. - Is globally responsible for all supplier development, quality improvement, and sustainment. - Systematically drives Root Cause Corrective Action (RCCA) investigations to prevent defects. - Works directly with sourcing, business, engineering, and our customers on strategies to improve product quality and delivery. - Identifies and leads the implementation of continuous improvement projects. - Are leaders creating a performance culture with our suppliers through coaching and technical engagement. We are looking for an experienced Sr. Supplier Quality Engineer to take ownership of the Supplier Corrective Action Request (SCAR) Program. This position plays a vital role in improving supplier quality and minimizing disruptions in our manufacturing facilities. The successful candidate will leverage their expertise in quality management to drive initiatives aimed at enhancing supplier performance, reducing customer escapes, and implementing effective corrective action processes. Qualifications - Experience in quality management. - Strong understanding of supplier development processes. - Proven track record in driving continuous improvement initiatives. Requirements - Ability to assess operational gaps and identify risks. - Experience with Root Cause Corrective Action (RCCA) investigations. - Strong communication skills to work with cross-functional teams. Benefits - Competitive salary. - Health and wellness programs. - Opportunities for professional development.

Role Description - Develop and execute mixed-signal verification plans for high-current IVR designs. - Build and maintain analog behavioral models (Verilog-A / SystemVerilog real-number modeling) for power stages, integrated inductors, PDN, and analog blocks. - Perform analog-digital co-simulation using industry-standard tools (Cadence Xcelium + Spectre, Synopsys VCS + FineSim / CustomSim, or AMS Designer). - Verify digital control loops. - Create testbenches for key performance metrics: - Transient response (load steps) - Loop stability - Efficiency - Ripple - Over-current / over-voltage protection - Startup/shutdown sequences - Run regressions across PVT corners, Monte-Carlo analysis, and corner-case scenarios. - Debug mixed-signal issues at both transistor-level and behavioral level. - Collaborate closely with analog designers, digital designers, and system engineers to close verification coverage. - Develop automated verification scripts and improve verification methodology for faster turnaround. - Support post-silicon validation by correlating simulation results with lab measurements. Qualifications - 5+ years of hands-on experience in mixed-signal verification of power management ICs or analog/mixed-signal SoCs. - Strong proficiency in mixed-signal simulation flows: - Real Number Modeling (RNM) and Verilog-A behavioral modeling - Analog-digital co-simulation (AMS, VCS + Spectre, Xcelium) - Solid understanding of power converter topologies (buck, multi-phase, 3-level buck, switched-capacitor converters). - Good knowledge of digital control concepts for power converters (PID controllers, DPWM, digital feedback loops). - Experience with MATLAB/Simulink for system-level modeling and testbench reference generation. - Proficiency in SystemVerilog and UVM for digital/mixed-signal testbenches. - Familiarity with Cadence Virtuoso, Spectre, or Synopsys CustomSim for analog simulation. - Understanding of analog non-idealities (quantization effects, loop delay, sensor offsets, PDN resonances, inductor non-linearities). - BSEE / MSEE with 8+ years relevant experience. Preferred Qualifications - Experience verifying high-frequency IVRs, PoL regulators, or high-current power delivery systems. - Experience with SIMPLIS, PLECS, or Simulink for system-level power electronics validation. - Familiarity with digital PID controller verification and fixed-point arithmetic effects. - Exposure to advanced packaging and on-die inductor modeling. - Scripting skills in Python, Perl, or Tcl for automation.