Sr. UX Designer, AWS Security, Search, Observability & Governance

📍 Job Overview

Job Title: Sr. UX Designer, AWS Security, Search, Observability & Governance
Company: Amazon
Location: Santa Clara, California, United States
Job Type: Full-Time
Category: UX/Product Design (with a strong focus on Operations Technology)
Date Posted: May 20, 2026
Experience Level: Mid-Senior Level (7+ years)
Remote Status: On-site

🚀 Role Summary

• Design and deliver cutting-edge, AI-native cloud experiences for AWS Security, Search, Observability, and Governance (SSOG) services.
• Drive end-to-end ownership of customer outcomes, from problem framing and research to prototyping and production delivery.
• Define and implement innovative interaction patterns for agentic and AI-assisted workflows within complex distributed cloud environments.
• Collaborate deeply with engineering, product management, and AI systems to translate complex technical concepts into intuitive user interfaces.
• Elevate design craft, establish scalable interaction patterns, and contribute to design system components across the SSOG portfolio.

📝 Enhancement Note: While this role is primarily a UX Designer position, its focus on AWS Security, Search, Observability, and Governance places it at the intersection of design and complex operational technology. Candidates will need to demonstrate an understanding of how design impacts the efficiency, security, and manageability of cloud infrastructure, a key concern for revenue and sales operations professionals who rely on these underlying systems. The "Experience Builder" model implies a strong emphasis on practical, hands-on design and development, requiring a builder mentality.

📈 Primary Responsibilities

• Build critical product experiences across AWS Security, Search, Observability, and Governance (SSOG) services, including console and off-console surfaces like APIs, AI agents, and developer tooling.
• Operate as a full-cycle experience builder, contributing to problem framing, defining success metrics, designing workflows, prototyping solutions, and partnering with engineering through production delivery.
• Design interaction patterns for AI-assisted systems, including guided investigations, automated signal correlation, governance insights, and intent-driven system actions.
• Create cross-service operational workflows that connect signals and workflows across observability, security posture, governance controls, and search infrastructure to accelerate the detection-to-resolution process.
• Raise the bar for interaction design, usability, and visual craft across SSOG services by establishing reusable patterns, interaction models, and experience principles.
• Partner to develop scalable UX patterns and components that support consistent workflows across both console and off-console experiences.
• Utilize modern prototyping tools, AI-assisted design workflows, and rapid experimentation to shorten the cycle between idea and shipped experience.
• Work closely with engineers to ensure designs are technically feasible, production-ready, and aligned with underlying system architecture.
• Translate complex distributed infrastructure, telemetry signals, and security insights into intuitive workflows that help users understand and act quickly.
• Use customer insights, telemetry, and design thinking to identify opportunities that improve cross-service experiences and shape future product capabilities.
• Mentor other designers, participate in design reviews, and help define patterns and practices that raise the bar across the organization.

📝 Enhancement Note: The responsibilities clearly indicate a need for a candidate who can bridge the gap between high-level design strategy and hands-on execution within a cloud infrastructure context. The emphasis on "AI-native," "agentic workflows," and "cross-service operational workflows" points to a role that requires a deep understanding of how users (developers, SREs, platform teams) interact with complex systems to maintain and secure them. This is highly relevant to operations roles that depend on the stability and efficiency of these underlying cloud services.

🎓 Skills & Qualifications

Education: While no specific degree is listed, a Bachelor's or Master's degree in Human-Computer Interaction (HCI), Interaction Design, Graphic Design, or a related field is typically expected for a Senior UX Designer role. Experience: A minimum of 7 years of professional design experience is required. This experience should ideally include designing for complex software systems, cloud platforms, or enterprise-level applications.

Required Skills:

• 7+ years of professional UX design experience.
• Proven ability to design and deliver high-impact customer experiences across complex product suites.
• Expertise in interaction design, user research methodologies, and usability testing.
• Proficiency in prototyping tools (e.g., Figma, Sketch, Adobe XD) and creating high-fidelity mockups.
• Experience with problem framing, defining success metrics, and translating user needs into actionable design solutions.
• Ability to simplify complex technical concepts and workflows into intuitive user interfaces.
• Strong understanding of design principles, visual hierarchy, and information architecture.
• Excellent communication, collaboration, and presentation skills.

Preferred Skills:

• Experience designing for AI-native or agentic systems and workflows.
• Familiarity with cloud computing platforms, particularly AWS services related to security, search, observability, and governance.
• Experience designing APIs, developer tooling, or enterprise-level SaaS applications.
• Knowledge of telemetry, signal correlation, and incident investigation processes.
• Experience contributing to or managing design systems and reusable UX patterns.
• Ability to work effectively in agile, fast-paced, and cross-functional environments.
• Experience mentoring junior designers and leading design discussions.

📝 Enhancement Note: The "7+ years of design experience" requirement, coupled with the focus on complex cloud services and AI-native workflows, suggests a need for a candidate who can operate with significant autonomy and strategic input. The preference for an online portfolio is critical, as it will be the primary means to assess the candidate's ability to execute on these complex design challenges and demonstrate impact.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A robust online portfolio showcasing end-to-end UX design projects.
• Demonstrations of how you've tackled complex problems, particularly in technical or enterprise software domains.
• Case studies detailing your process: problem definition, user research, ideation, prototyping, user testing, and final design solutions.
• Evidence of designing for AI-assisted features, complex data visualization, or operational workflows.
• Examples of how your designs have led to measurable improvements in user efficiency, task completion, or system understanding.
• Showcase of your ability to create and utilize design systems or reusable UX patterns.

Process Documentation:

• Examples of how you've framed complex operational problems and defined clear success metrics for design initiatives.
• Documentation of your user research findings and how they informed design decisions for technical users (e.g., developers, SREs).
• Prototypes and design iterations that illustrate your approach to simplifying complex cloud systems and workflows.
• Evidence of collaboration with engineering teams to ensure technical feasibility and production readiness of designs.
• Case studies that highlight your contribution to accelerating design-to-build velocity through rapid experimentation or AI-assisted design workflows.

📝 Enhancement Note: For a role like this, the portfolio is paramount. It needs to go beyond standard UI design to demonstrate a deep understanding of user workflows in operational contexts, especially those involving complex data, security, and system monitoring. Candidates should prepare to articulate not just "what" they designed, but "why," and how their design choices directly impacted the efficiency and effectiveness of users managing cloud infrastructure.

💵 Compensation & Benefits

Salary Range: $156,400 - $211,600 USD annually. Benefits:

• Comprehensive health insurance package: medical, dental, vision, prescription insurance.
• Basic Life & AD&D Insurance with options for supplemental life plans.
• Employee Assistance Program (EAP) and Mental Health Support.
• Medical Advice Line.
• Flexible Spending Accounts.
• Adoption and Surrogacy Reimbursement coverage.
• 401(k) matching plan.
• Paid Time Off (PTO).
• Parental Leave.
• Sign-on payments.
• Restricted Stock Units (RSUs).

Working Hours: Standard full-time working hours are expected, likely around 40 hours per week. While the role is on-site, the nature of cloud operations and Amazon's culture may require flexibility to address critical issues.

📝 Enhancement Note: The provided salary range is for Santa Clara, California. Amazon's compensation structure for this role includes not only base salary but also significant equity (RSUs) and potential sign-on bonuses, which are common for senior technical roles. The benefits package is extensive, reflecting Amazon's commitment to employee well-being and financial security. The "A day in the life" section suggests a dynamic environment where responsiveness to customer signals is key, implying that while 40 hours is standard, some flexibility may be needed.

🎯 Team & Company Context

🏢 Company Culture

Industry: E-commerce, Cloud Computing, Artificial Intelligence, Digital Streaming, Consumer Electronics. Amazon is a diversified technology conglomerate. Company Size: Extremely large (over 1.5 million employees globally). This scale means established processes, but also opportunities for impact within specialized teams. Founded: 1994. Amazon has a long history of innovation and customer obsession, which permeates its culture.

Team Structure:

• The role is within the AWS Security, Search, Observability, and Governance (SSOG) organization, specifically on a "Transformers" design and research team.
• This team operates using an "Experience Builder" model, forming "builder pods."
• Pods consist of designers working closely with product managers and engineers, owning outcomes end-to-end.
• The SSOG Transformers team focuses on simplifying complex operational workflows for developers, SREs, and platform teams.
• Designers in this team influence product direction and work on critical cloud infrastructure used globally.

Methodology:

• Customer Obsession: A core Amazon leadership principle, driving all product and design decisions.
• Data-Driven Decisions: Emphasis on using telemetry, customer insights, and product metrics to inform design.
• Bias for Action: Encouraging rapid prototyping, experimentation, and shipping quickly to get customer feedback.
• Invent and Simplify: Developing innovative solutions and making complex systems easier to use.
• Ownership: Designers are expected to take full responsibility for their projects from inception to delivery.

Company Website: https://www.amazon.com

📝 Enhancement Note: Amazon's culture is known for its intensity and focus on results. The "Experience Builder" model is a deliberate organizational shift to empower teams and accelerate innovation. For a designer, this means a high degree of autonomy and responsibility, but also the expectation to be a hands-on builder and collaborator, deeply integrated with engineering and product. This environment is well-suited for individuals who thrive on direct impact and can navigate a large, complex organization.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior UX Designer role, indicating a mid-to-senior level position requiring significant experience and the ability to work independently. It's a key contributor role focused on delivering high-impact product experiences.

Reporting Structure: The designer will likely report to a Design Manager or Lead within the SSOG organization. They will work within "builder pods" that have end-to-end ownership, implying a flat and collaborative reporting structure within the pod itself, reporting into functional management for career development.

Operations Impact: While not a direct "Operations" role in the traditional sense (e.g., Revenue Operations), this UX Designer's work has a profound impact on how operations professionals (developers, SREs, platform teams) manage and secure critical cloud infrastructure. By simplifying complex systems and creating AI-native workflows, this role directly contributes to the efficiency, reliability, and security of cloud operations, which are foundational to any business's GTM strategy and revenue generation.

Growth Opportunities:

• Specialization: Deepen expertise in AI-native UX, agentic systems, cloud security, observability, or governance design.
• Leadership: Progress to Senior Principal UX Designer, Design Lead, or Managerial roles within Amazon's design organization.
• Cross-functional Impact: Lead design initiatives that span multiple AWS services and impact a wide range of AWS customers.
• Skill Development: Opportunities to learn cutting-edge AI technologies, advanced prototyping techniques, and Amazon's internal design systems and tools.
• Influence: Shape the future of cloud operations UX by defining new interaction paradigms and contributing to scalable frameworks.

📝 Enhancement Note: The growth path for a Senior UX Designer at Amazon is typically through increasing scope, influence, and leadership. This role offers a unique opportunity to specialize in a critical and rapidly evolving area of cloud computing (AI-native operations) and contribute to foundational AWS services, which provides a strong foundation for future career advancement within Amazon or the broader tech industry.

🌐 Work Environment

Office Type: On-site. This role is based in Santa Clara, California, within Amazon's AWS offices. Office Location(s): Santa Clara, California, United States. This location offers access to a vibrant tech ecosystem and talent pool.

Workspace Context:

• Collaborative Pods: The "builder pod" model emphasizes close, in-person collaboration between designers, product managers, and engineers.
• Technology Rich: Access to modern design tools, prototyping software, and potentially AI-assisted design tools.
• Dynamic Environment: Amazon's fast-paced culture means a constantly evolving work environment with a focus on rapid iteration and delivery.
• Customer Focus: The work is driven by deep understanding of customer needs in complex cloud operations scenarios.

Work Schedule: Standard full-time hours (likely 40 hours/week) with the expectation of flexibility to address critical issues or meet project deadlines, common in high-growth tech environments. The on-site nature facilitates spontaneous collaboration and hands-on problem-solving.

📝 Enhancement Note: The on-site requirement for this role is significant. It indicates a preference for high-bandwidth, in-person collaboration, which is crucial for the "builder pod" model and for tackling complex design challenges in real-time. Candidates should be prepared for a collaborative, fast-paced office environment.

📄 Application & Portfolio Review Process

Interview Process: Amazon's hiring process is rigorous and typically involves multiple stages:

• Online Application & Resume/Portfolio Review: Initial screening for qualifications and portfolio strength.
• Recruiter Screen: A call to assess general fit, experience, and salary expectations.
• Hiring Manager Interview: Deeper dive into experience, problem-solving approach, and alignment with team goals.
• Bar Raiser Interview(s): Conducted by an experienced Amazonian from outside the hiring team, focused on assessing leadership principles, technical depth, and overall fit. This often includes design deep dives and behavioral questions.
• Design Deep Dive / Portfolio Presentation: A dedicated session where candidates present their portfolio, discussing specific projects, their process, and their impact. This is where the "builder" mentality and operational understanding will be heavily scrutinized.
• Final Decision: Based on feedback from all interviewers.

Portfolio Review Tips:

• Focus on Impact: Clearly articulate the problem you solved, your specific contributions, the design process you followed, and the measurable outcomes or impact of your work.
• Showcase End-to-End Ownership: Present projects where you took ownership from discovery to delivery, demonstrating your ability to navigate the full product lifecycle.
• Highlight Operational Context: For this role, emphasize projects that involve complex systems, data analysis, security, or operational workflows. Explain how you simplified these for users.
• Demonstrate AI/Agentic Design Thinking: If possible, include examples or thought processes related to designing for AI-assisted features or automated systems.
• Be Ready to Discuss Trade-offs: Explain the decisions you made, the constraints you faced (technical, business, time), and how you navigated them.
• Structure for Clarity: Organize your portfolio with clear case studies, using a consistent structure (Problem, Solution, Process, Impact).

Challenge Preparation:

• Behavioral Questions: Prepare to answer questions based on Amazon's 16 Leadership Principles (e.g., Customer Obsession, Ownership, Bias for Action, Dive Deep, Invent and Simplify). Use the STAR method (Situation, Task, Action, Result) for your responses.
• Design Exercises: Be prepared for potential design exercises, which might involve problem-solving scenarios, critique sessions, or whiteboard challenges related to designing for complex systems.
• Technical Acumen: While not a developer role, demonstrate an understanding of technical constraints and how design integrates with engineering and AI systems.
• Role-Specific Questions: Anticipate questions about your experience with cloud platforms, AI-native design, operational workflows, and your ability to work in a "builder pod" environment.

📝 Enhancement Note: The "Bar Raiser" interview is a critical Amazon process; candidates must be prepared to articulate their contributions and alignment with Amazon's culture and principles. The portfolio presentation is a key opportunity to demonstrate hands-on design skills and strategic thinking specifically relevant to operational technology and AI.

🛠 Tools & Technology Stack

Primary Tools:

• Design Software: Figma (highly probable given industry trends and Amazon's potential adoption), Sketch, Adobe Creative Suite.
• Prototyping Tools: Figma, InVision, ProtoPie, or similar advanced prototyping tools.
• AI-Assisted Design Tools: Potentially emerging tools for generating design assets, suggesting patterns, or automating parts of the design workflow. Candidates should be aware of this trend.
• Collaboration Platforms: Confluence, Jira, Slack, Microsoft Teams (depending on specific team setup).

Analytics & Reporting:

• Telemetry Analysis Tools: Familiarity with how to interpret and use data from AWS CloudWatch, or similar observability platforms.
• User Behavior Analytics: Tools for tracking user interactions and identifying pain points within the application.
• Data Visualization Tools: For presenting findings and design impact to stakeholders.

CRM & Automation: While not directly managing a CRM, understanding how user data and system interactions feed into broader AWS operational metrics and potentially CRM-like systems for customer success is beneficial.

📝 Enhancement Note: Proficiency with modern design and prototyping tools is a baseline. The ability to interpret and leverage telemetry and operational data will be a significant differentiator. Awareness of AI tools that can augment the design process is increasingly important for roles focused on AI-native experiences.

👥 Team Culture & Values

Operations Values:

• Customer Obsession: Deeply understanding the needs of developers, SREs, and platform teams who manage complex cloud environments.
• Ownership: Taking full responsibility for the design outcomes and their impact on customer success and system manageability.
• Bias for Action: Rapidly iterating on designs, prototyping, and shipping solutions to gather feedback and drive progress.
• Invent and Simplify: Creating novel solutions to simplify complex cloud operations, security, and governance challenges.
• Dive Deep: Understanding the intricacies of AWS services, distributed systems, and AI technologies to design effective experiences.
• High Standards: Maintaining a high bar for design craft, usability, and clarity in all deliverables.

Collaboration Style:

• Integrated Pods: Designers work as integral members of cross-functional "builder pods" alongside product managers and engineers, fostering a highly collaborative and co-dependent workflow.
• Design Reviews: Regular participation in design critiques to provide and receive constructive feedback, ensuring quality and consistency.
• Cross-functional Communication: Open and frequent communication with engineering, product, and potentially research teams to align on vision, requirements, and execution.
• Mentorship Culture: Senior designers are expected to mentor and elevate the skills of other designers within the team.

📝 Enhancement Note: The team culture is heavily influenced by Amazon's Leadership Principles. For this role, principles like Customer Obsession, Ownership, Bias for Action, Dive Deep, and Invent and Simplify are particularly relevant. The collaborative style within "builder pods" means that designers must be comfortable working closely and iteratively with technical counterparts.

⚡ Challenges & Growth Opportunities

Challenges:

• Complexity of Cloud Systems: Designing intuitive experiences for highly complex, distributed AWS services requires deep domain understanding and strong simplification skills.
• AI-Native Workflow Design: Defining effective interaction patterns for nascent AI and agentic systems that users can trust and leverage efficiently.
• Balancing Craft and Velocity: Meeting Amazon's high bar for design quality while operating at the rapid pace of cloud development.
• Cross-Service Integration: Designing cohesive workflows that span multiple distinct AWS services, requiring deep understanding of their interdependencies.
• Technical Feasibility: Ensuring designs are not only user-centric but also technically viable and align with underlying system architecture.

Learning & Development Opportunities:

• Cutting-edge AI/ML: Gaining hands-on experience designing for AI-native and agentic cloud operations.
• AWS Ecosystem: Deepening knowledge of the broad AWS service portfolio and its operational complexities.
• Scalable Design Systems: Contributing to and leveraging large-scale design systems and experience frameworks.
• Leadership & Mentorship: Developing leadership skills through mentoring junior designers and leading design initiatives.
• Industry Trends: Staying abreast of advancements in UX, AI, and cloud technology through internal resources, conferences, and Amazon's innovative environment.

📝 Enhancement Note: The primary challenge is translating extreme technical complexity into usable, efficient, and trustworthy user experiences, especially with the introduction of AI. The growth opportunities are significant, offering deep specialization in a critical area of cloud technology and the chance to influence how millions of users interact with AWS.

💡 Interview Preparation

Strategy Questions:

• "Tell me about a time you designed an AI-native experience or an agentic workflow. What were the challenges, and how did you address them?"
  • Preparation: Focus on projects where you designed for automation, intelligent assistance, or systems that took proactive actions. Highlight your process for understanding user intent and ensuring trust.
• "How would you approach designing a unified operational workflow that connects signals from AWS Security, Observability, and Governance?"
  • Preparation: Think about information architecture, data correlation, and how to present complex, multi-faceted data in a digestible way. Consider user journey mapping across different operational domains.
• "Describe a situation where you had to simplify an extremely complex technical system for a non-expert user. What was your process and the outcome?"
  • Preparation: Use a specific project where you translated intricate technical details into clear, actionable UI elements or workflows. Quantify the impact if possible.

Company & Culture Questions:

• "How do you embody Amazon's 'Customer Obsession' leadership principle in your design work?"
  • Preparation: Provide concrete examples of how you've used customer research, data, or telemetry to inform your designs and advocate for the user.
• "Describe a time you had to work with a difficult engineer or product manager. How did you navigate that relationship to achieve a successful outcome?"
  • Preparation: Prepare a STAR method answer that showcases your collaboration, communication, and problem-solving skills in cross-functional settings.
• "How do you ensure your designs meet high standards while also shipping quickly (Bias for Action)?"
  • Preparation: Discuss your approach to iterative design, rapid prototyping, and knowing when a design is "good enough" to ship and learn from.

Portfolio Presentation Strategy:

• Structure: Organize your presentation logically, typically by project. For each project, clearly state the problem, your role, the design process, your key contributions, the final solution, and the impact/results.
• Storytelling: Weave a narrative around each project. Explain the "why" behind your decisions.
• Focus on Process: Detail your research, ideation, prototyping, and testing methodologies.
• Quantify Impact: Use metrics whenever possible to demonstrate the success of your designs (e.g., reduced time to resolution, increased task completion rate, improved security posture).
• Technical Context: Be prepared to discuss how your designs integrate with technical systems and AI. Show awareness of constraints and collaboration with engineers.
• Conciseness: Be mindful of time. Practice your presentation to ensure you cover key points effectively within the allotted time.

📝 Enhancement Note: Amazon interviews are known for their depth and focus on leadership principles. Candidates must be prepared to provide specific, data-backed examples and articulate their thought process clearly. The portfolio presentation is a critical component, serving as the primary demonstration of design capabilities and strategic thinking relevant to operational technology.

📌 Application Steps

To apply for this operations-adjacent design position:

• Submit your application through the Amazon Jobs portal at https://www.amazon.jobs/en/jobs/10425114.
• Curate Your Portfolio: Select 2-3 of your strongest projects that best showcase your experience with complex systems, AI-native design, operational workflows, and end-to-end ownership. Tailor your case studies to highlight your impact in these areas.
• Optimize Your Resume: Ensure your resume clearly lists your 7+ years of experience and highlights skills and achievements relevant to UX design for technical products, cloud services, or AI-driven features. Use keywords from the job description.
• Prepare for STAR Answers: Review Amazon's 16 Leadership Principles and prepare specific, quantifiable examples using the STAR method for common behavioral interview questions.
• Research AWS SSOG: Familiarize yourself with AWS Security, Search, Observability, and Governance services. Understand the challenges faced by users of these services and how AI is beginning to impact them. Gain an understanding of Amazon's "builder pod" and "experience builder" models.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.