Fullstack Software Engineer II - Admin UX - Platform Applications

📍 Job Overview

Job Title: Fullstack Software Engineer II - Admin UX - Platform Applications

Company: Elastic

Location: United States

Job Type: Full-time

Category: Software Engineering / Platform Engineering

Date Posted: 2026-09-21T22:01:40

Experience Level: Mid-level (5-10 years)

Remote Status: Remote Eligible (within the United States)

🚀 Role Summary

• Design, build, and ship robust full-stack product features for administrator user experiences within Elastic Cloud.

• Own end-to-end delivery of software, ensuring stability and deployability through feature flags and continuous delivery practices.

• Operate and maintain services in production environments, participating in release rotations and incident response.

• Collaborate closely with product management and UX/UI designers to translate business goals into polished, accessible interfaces.

• Leverage AI development tools to accelerate workflow and enhance team productivity while maintaining high code quality and ownership.

📝 Enhancement Note: This role is positioned as a Fullstack Software Engineer II, indicating a need for experienced engineers who can operate with a significant degree of autonomy. The emphasis on "Platform Applications" and "Admin UX" suggests a focus on the internal tools and user interfaces that enable customers to manage and utilize Elastic's core products, particularly within Elastic Cloud. The requirement for eligibility in DoD Impact Level 4 or above environments points to a need for security-consciousness and adherence to specific compliance standards.

📈 Primary Responsibilities

• Design, develop, and deploy full-stack features, encompassing both React UI components and the backend services that power them.

• Take ownership of the complete software development lifecycle, managing multiple product variants and environments with robust feature flagging strategies.

• Actively participate in production operations, including release rotations, alert triaging, and the maintenance of continuous delivery pipelines.

• Translate product requirements and design prototypes into functional, user-friendly, and accessible interfaces for administrators.

• Conduct thorough code reviews to uphold engineering best practices, drive architectural improvements, and promote automated testing methodologies.

• Ensure the security and currency of the platform by managing dependency upgrades, investigating vulnerabilities, and expanding synthetic test coverage.

• Collaborate with cross-functional teams, including Product Management and UX/UI Design, to align technical solutions with business objectives and user needs.

• Drive architectural improvements and advocate for best practices in code quality, testing, and operational maturity.

📝 Enhancement Note: The responsibilities highlight a "you build it, you run it" philosophy. This implies that the engineer will not only develop features but also be responsible for their deployment, monitoring, and ongoing maintenance in production. The emphasis on "operational maturity" and "DevOps practices" further reinforces this expectation.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong foundation in Computer Science principles is implied through the experience requirements and the nature of the role.

Experience: Minimum of 5 years of professional full-stack development experience.

Required Skills:

• 5+ years of full-stack development experience with a strong command of React, TypeScript, JavaScript, HTML, and CSS.

• Proficiency with Redux-style state management patterns and modern data-fetching techniques.

• Demonstrated experience owning and operating Node.js services in production, including managing HTTP APIs, authentication, configuration, and debugging production incidents.

• Proven ability to use AI development tools (e.g., Cursor, Claude) to accelerate development workflows and improve code quality.

• Strong understanding of operational maturity, including experience with on-call rotations, runbooks, Service Level Objectives (SLOs), continuous delivery, feature flags, and automated testing.

• Experience with testing frameworks such as React Testing Library or equivalent, and end-to-end (E2E) / synthetic testing for critical user paths.

• Familiarity with DevOps practices and tooling, including comfort in multi-environment, compliance-aware product matrices.

• Excellent communication and collaboration skills, including clear written communication, constructive code reviews, peer mentoring, and effective cross-functional teamwork.

• Eligibility to work in Department of Defense (DoD) Impact Level 4 or above cloud service environments.

• Solid command of Git and standard version control workflows. Preferred Skills:

• Experience with cloud-native architectures and deployment pipelines.

• Familiarity with observability tools and practices (logging, metrics, tracing).

• Understanding of security best practices in software development.

• Experience working in a distributed team environment.

• Knowledge of Elastic's product suite and ecosystem.

📝 Enhancement Note: The requirement for DoD Impact Level 4 or above eligibility is a critical qualification that may necessitate background checks or specific citizenship/residency status. This is a significant differentiator for this role. The explicit mention of AI development tools indicates a forward-thinking approach to engineering efficiency.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase of full-stack projects demonstrating end-to-end development capabilities, from UI implementation to backend service logic.

• Examples of features or applications where you were responsible for both development and operational aspects (e.g., deployment, monitoring).

• Case studies illustrating how you've used feature flags, automated testing, or other DevOps practices to ensure stable and reliable releases.

• Projects that highlight your ability to translate UX/UI designs and product requirements into functional, accessible interfaces.

• Demonstrations of code quality, including well-structured code, comprehensive test coverage, and adherence to engineering best practices. Process Documentation:

• Examples of how you have documented processes related to development, deployment, or incident response.

• Evidence of contributions to runbooks, SLO definitions, or post-incident reviews.

• Documentation illustrating your approach to managing dependencies, security vulnerabilities, or feature flag lifecycles.

• Workflows demonstrating your collaboration with product and design teams, including how requirements are translated and feedback is incorporated.

📝 Enhancement Note: For a role emphasizing full-stack development and operational ownership, a portfolio should ideally demonstrate not just code, but also the impact of that code in a production environment. Evidence of system design, testing strategies, and operational contribution will be highly valued.

💵 Compensation & Benefits

Salary Range:

• United States (General): $110,900 - $175,000 USD per year

• Select Locations (Seattle, Los Angeles, San Francisco Bay Area, New York City Metro): $133,200 - $210,000 USD per year Benefits:

• Competitive base salary, with pay determined by relevant qualifications, experience, and location.

• Eligibility to participate in Elastic's stock program.

• Company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings.

• Comprehensive health coverage for employees and their families (in many locations).

• Flexible work arrangements, including flexible locations and schedules.

• Generous vacation days.

• Employee donation matching program (up to $2000 USD or local equivalent).

• Up to 40 hours of paid volunteer time off annually.

• Minimum of 16 weeks of paid parental leave.

Working Hours: 40 hours per week (standard full-time expectation), with flexibility in scheduling.

📝 Enhancement Note: The salary ranges provided are typical starting points. The company explicitly states that the actual salary may fall outside this range based on candidate qualifications, geographic location, and business needs. The inclusion of stock options and a robust 401k match, alongside other benefits, indicates a strong total compensation package.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, specifically Search AI, Cloud Services, Observability, and Security. Elastic is a leader in providing solutions that enable real-time data insights and AI-driven search capabilities.

Company Size: Elastic is a large, established technology company, indicated by its public trading and extensive product suite. The role is within the "Platform Applications" team, suggesting a focus on core infrastructure and internal tooling that supports the broader Elastic Cloud offerings.

Founded: Elastic was founded in 2012.

Team Structure:

• The "Platform Admin UX" team is part of the broader Platform Applications group, focusing on the user experience for administrators managing Elastic Cloud.

• This role operates within a distributed team, emphasizing asynchronous, direct, and transparent communication.

• Collaboration is expected across various functions, including product management, UX/UI design, and other engineering teams. Methodology:

• Emphasis on full-stack development, from UI to backend services.

• Commitment to continuous delivery, feature flags, and automated testing as core development practices.

• Strong focus on operational ownership, including production monitoring, incident response, and system maintenance.

• Utilization of AI tools to enhance development velocity and efficiency.

• Adherence to security and compliance standards, particularly for environments like DoD Impact Level 4+.

Company Website: https://www.elastic.co/

📝 Enhancement Note: Elastic's mission as "The Search AI Company" highlights its focus on leveraging AI to enhance search capabilities across various domains. The company culture, as described, values autonomy, collaboration in a distributed setting, and a proactive approach to development and operations.

📈 Career & Growth Analysis

Operations Career Level: This role is classified as "Software Engineer II," indicating a mid-level position. Engineers at this level are expected to contribute significantly to feature development, take ownership of components or services, and operate with a degree of independence. They are key contributors to team velocity and code quality.

Reporting Structure: The role reports into the Platform Admin UX team, likely under an Engineering Manager. Collaboration will extend to Product Managers and UX Designers.

Operations Impact: The work directly impacts the user experience for administrators managing Elastic Cloud, a critical aspect of customer satisfaction and platform adoption. By building robust and intuitive administrative tools, this role contributes to the overall success and scalability of Elastic's cloud offerings.

Growth Opportunities:

• Technical Specialization: Deepen expertise in full-stack development, React, Node.js, cloud infrastructure, or specific areas of AI integration.

• Leadership Development: Progress to a Senior Software Engineer role, taking on more complex architectural challenges, mentoring junior engineers, and leading feature initiatives.

• Cross-Functional Exposure: Gain broader experience by collaborating with various product teams and understanding the interconnectedness of Elastic's platform services.

• Operational Excellence: Develop advanced skills in production operations, incident management, and building resilient, scalable systems.

• AI Integration: Become a leader in leveraging AI tools and techniques within the software development lifecycle.

📝 Enhancement Note: The "II" in the title suggests a path for growth into senior roles. The emphasis on operational ownership and AI tool utilization provides opportunities for engineers to develop highly sought-after skills in the current tech landscape.

🌐 Work Environment

Office Type: Elastic operates as a distributed company, meaning the primary work environment is remote. While specific office locations might exist, the role is designed to accommodate remote work within the United States.

Office Location(s): The role is eligible for remote work within the United States. Specific office locations for Elastic can be found on their careers page, but this role is not tied to a single physical office.

Workspace Context:

• Remote Collaboration: The environment is built for effective collaboration among distributed team members, relying on asynchronous communication tools and practices.

• Technology Stack: Access to modern development tools, cloud infrastructure, and AI-powered coding assistants.

• Team Interaction: Regular interaction with team members, product managers, and designers through virtual meetings, code reviews, and collaborative platforms.

Work Schedule: Standard full-time hours (40 hours/week) with flexibility in scheduling, allowing engineers to balance work and personal life effectively. This flexibility is crucial for managing asynchronous communication across different time zones within the US.

📝 Enhancement Note: The distributed nature of Elastic is a key aspect of its work environment. Candidates should be comfortable with remote work, asynchronous communication, and self-management.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter will review your application and potentially conduct an initial screening call to assess basic qualifications and cultural fit.

• Technical Interviews: Expect multiple rounds of technical interviews, likely including:

  • Coding Challenges: Live coding exercises focusing on algorithms, data structures, and problem-solving, potentially using a shared editor.
  • System Design: Discussions about designing scalable and resilient systems, focusing on architecture, trade-offs, and operational considerations.
  • Behavioral/Situational: Questions to assess your experience with collaboration, problem-solving, handling incidents, and working with AI tools.

• Portfolio Presentation/Discussion: You may be asked to present specific projects from your portfolio, explaining your role, technical decisions, challenges faced, and outcomes achieved.

• Hiring Manager/Team Lead Interview: A final discussion to assess overall fit with the team and company culture.

Portfolio Review Tips:

• Highlight Full-Stack Contributions: Showcase projects where you've worked on both frontend (React) and backend (Node.js) components.

• Demonstrate Operational Ownership: Include examples of how you've managed services in production, implemented monitoring, or handled incidents. Use metrics to show impact.

• Showcase AI Tool Integration: Detail how you've used AI tools to accelerate development, improve code quality, or solve specific problems. Be specific about the tools and outcomes.

• Emphasize Testing and CI/CD: Present projects that clearly demonstrate your commitment to automated testing (unit, integration, E2E) and Continuous Integration/Continuous Deployment practices.

• Quantify Achievements: Whenever possible, use metrics to illustrate the impact of your work (e.g., performance improvements, reduction in errors, faster delivery times).

• Address DoD Eligibility: Be prepared to discuss your eligibility and understanding of working within secure environments.

Challenge Preparation:

• Practice Coding Problems: Familiarize yourself with common coding interview questions on platforms like LeetCode, HackerRank, or similar sites. Focus on algorithms and data structures relevant to web development.

• Prepare System Design Scenarios: Think about how you would design scalable web applications, APIs, or distributed systems. Consider aspects like data storage, caching, load balancing, and fault tolerance.

• Articulate Your Experience with AI Tools: Be ready to discuss specific instances where you've used AI tools effectively and how they've impacted your work.

• Review Your Resume and Portfolio: Be prepared to discuss any project listed in detail, including your specific contributions, technical challenges, and lessons learned.

📝 Enhancement Note: Given the emphasis on AI tools and operational maturity, interviewers will likely probe deeply into how candidates apply these concepts in practice and how they ensure quality and reliability.

🛠 Tools & Technology Stack

Primary Tools:

• Frontend: React, TypeScript, JavaScript, HTML, CSS, Redux (or similar state management)

• Backend: Node.js

• Version Control: Git

• AI Development Tools: Cursor, Claude, or equivalent AI-assisted coding platforms.

Analytics & Reporting:

• Experience with observability tools for monitoring production services (logging, metrics, tracing) is expected, though specific tools are not named. This would likely include tools like Prometheus, Grafana, ELK stack (Elasticsearch, Logstash, Kibana), or similar. CRM & Automation:

• While not explicitly stated as CRM, the role involves building and operating platform applications that likely interact with or manage customer data and infrastructure, requiring an understanding of data management and workflow automation.

📝 Enhancement Note: The explicit mention of AI development tools is a key differentiator. Familiarity with modern frontend frameworks (React, TypeScript) and backend technologies (Node.js) is essential. Experience with the broader Elastic Stack (Elasticsearch, Kibana, Logstash, Beats) is likely beneficial but not explicitly required for this specific role.

👥 Team Culture & Values

Operations Values:

• Ownership & Accountability: Taking full responsibility for code from development through production operation.

• Collaboration & Transparency: Working effectively in a distributed team, communicating clearly, and sharing knowledge openly.

• Continuous Improvement: Constantly seeking ways to enhance code quality, system reliability, and development efficiency, including through AI tools.

• Customer Focus: Building intuitive and robust administrative experiences that serve the needs of Elastic Cloud users.

• Security & Compliance: Prioritizing security and adhering to standards, especially for sensitive environments.

Collaboration Style:

• Distributed & Asynchronous: Emphasizes direct, transparent communication suitable for remote teams, leveraging tools for asynchronous collaboration.

• Cross-Functional: Works closely with Product Management and UX/UI Design to ensure alignment on goals and user experience.

• Code Review Culture: Participates in and provides constructive feedback through code reviews to maintain high engineering standards.

• Mentorship: Expected to mentor peers and contribute to the growth of the team's technical capabilities.

📝 Enhancement Note: Elastic's culture appears to value engineers who are proactive, self-sufficient, and comfortable working in a remote, collaborative environment. The emphasis on AI tools suggests a culture that embraces innovation and efficiency.

⚡ Challenges & Growth Opportunities

Challenges:

• Balancing Development and Operations: Effectively managing the dual responsibility of building new features and ensuring the stability and performance of live services.

• Navigating Complex Environments: Working within multi-environment, compliance-aware product matrices, requiring careful consideration of blast radius and risk.

• Distributed Team Communication: Mastering asynchronous communication and collaboration across different time zones and locations.

• Rapidly Evolving Technology: Keeping pace with advancements in full-stack technologies, cloud platforms, and AI tools.

• Security & Compliance Demands: Meeting the stringent requirements for DoD Impact Level 4+ environments.

Learning & Development Opportunities:

• Advanced Full-Stack Development: Deepen expertise in modern frontend and backend technologies.

• Cloud Operations & DevOps: Gain extensive experience in operating and scaling cloud-native applications.

• AI Integration in Software Engineering: Become proficient in leveraging AI tools for code generation, testing, and operational tasks.

• System Architecture & Design: Contribute to the design of scalable, resilient, and secure platform applications.

• Mentorship and Leadership: Opportunity to mentor junior engineers and take on leadership roles within projects.

📝 Enhancement Note: This role presents an opportunity to develop a unique skill set at the intersection of full-stack development, cloud operations, and AI-driven engineering, with a specialization in secure environments.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex full-stack feature you designed and built. What were the key technical decisions, and how did you ensure its reliability in production?" (Focus on React, Node.js, feature flags, testing, and operational aspects).

• "How have you leveraged AI development tools (like Cursor or Claude) to accelerate your workflow or improve code quality? Provide a specific example." (Be ready to discuss tools, processes, and outcomes).

• "Explain your experience with operating services in production. Describe a time you had to troubleshoot a critical incident from logs, metrics, or traces." (Highlight operational maturity, SLOs, and debugging skills).

• "How do you approach translating UX/UI designs and product requirements into accessible and functional interfaces?" (Focus on collaboration with design and product, and frontend implementation details).

• "Discuss your understanding of DoD Impact Level 4+ cloud environments. What are the key considerations for developing and operating services in such contexts?" (Demonstrate awareness of security and compliance). Company & Culture Questions:

• "Why are you interested in Elastic and this specific role on the Platform Admin UX team?" (Research Elastic's mission, products, and culture).

• "How do you contribute to a positive and productive team culture, especially in a distributed environment?" (Highlight communication, collaboration, and mentorship skills).

• "Elastic values continuous improvement and leveraging AI tools. How do you stay current with new technologies and integrate them into your work?" (Showcase a proactive learning mindset). Portfolio Presentation Strategy:

• Structure Your Case Studies: For each project, clearly outline the problem, your solution, your specific contributions, the technologies used, the challenges encountered, and the quantifiable results.

• Emphasize Full-Stack and Operational Aspects: Ensure your presentations highlight both your frontend and backend development skills, as well as your experience with deployment, monitoring, and maintenance.

• Demonstrate AI Tool Usage: Integrate examples of how AI tools aided your development process, code quality, or problem-solving within your project narratives.

• Quantify Impact: Use metrics to demonstrate the success of your projects (e.g., performance improvements, error rate reduction, user adoption).

• Be Prepared for Deep Dives: Anticipate detailed questions about your code, architectural decisions, and operational strategies.

📝 Enhancement Note: The interview process will likely assess not only technical proficiency but also your ability to work autonomously, collaborate effectively in a distributed setting, and embrace new technologies like AI for development efficiency.

📌 Application Steps

To apply for this full-stack software engineering position:

• Submit your application through the Elastic careers portal via the provided job link.

• Tailor your Resume: Highlight your 5+ years of full-stack experience, specifically mentioning React, TypeScript, Node.js, and any experience with AI development tools. Quantify achievements and mention operational responsibilities.

• Prepare Your Portfolio: Curate examples of full-stack projects that demonstrate your end-to-end development capabilities, operational ownership, and any use of AI tools. Be ready to discuss these in detail.

• Practice Interview Questions: Review common full-stack, system design, and behavioral interview questions. Prepare specific examples that showcase your experience with production operations, feature flags, automated testing, and AI tool integration.

• Research Elastic: Understand Elastic's mission, products (especially Elastic Cloud), and company culture, particularly their emphasis on AI and distributed work. Be ready to articulate why you are a good fit.

• Confirm DoD Eligibility: Be prepared to discuss your eligibility and understanding of working within secure, compliance-driven environments.

⚠️ 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.