Senior Software Engineer I - UI

Porch Group
Full-time₹2.5M-3.5M/year (INR)

📍 Job Overview

Job Title: Senior Software Engineer I - UI

Company: Porch Group

Location: India (Remote)

Job Type: FULL_TIME

Category: Software Engineering / UI Development

Date Posted: 2026-05-04

Experience Level: 6+ Years Professional Experience

🚀 Role Summary

  • Lead the design, development, and implementation of high-quality software solutions for consumer-facing applications and data platforms, emphasizing UI/UX best practices.

  • Drive the adoption and integration of AI technologies, including LLM APIs and AI coding assistants, into production systems to enhance customer experiences and internal development workflows.

  • Collaborate effectively with product managers, web engineers, and data engineers in an agile environment to deliver robust and scalable software features.

  • Conduct thorough code reviews to ensure code quality, maintainability, and alignment with both long-term architectural goals and immediate business needs.

  • Analyze and resolve complex technical issues using a data-driven approach, ensuring timely and effective solutions.

📝 Enhancement Note: While the input job title is "Senior Software Engineer I - UI," the responsibilities and required skills heavily lean into modern web and mobile application development, with a significant emphasis on AI integration. The role requires not just UI expertise but also a strong understanding of full-stack JavaScript/TypeScript and experience shipping production AI systems. This indicates a hybrid role focusing on the frontend experience of AI-powered applications.

📈 Primary Responsibilities

  • Spearhead the end-to-end design, development, and deployment of user interfaces and features for web and mobile applications, ensuring a seamless and intuitive consumer experience.

  • Actively participate in and contribute to agile ceremonies, including sprint planning, daily stand-ups, backlog refinement, and retrospectives, fostering a culture of continuous improvement.

  • Conduct comprehensive code reviews, providing constructive feedback to peers to uphold high standards of code quality, performance, and maintainability.

  • Translate complex business requirements and product visions into technical specifications and actionable development tasks, identifying and resolving ambiguities early in the development cycle.

  • Integrate and leverage AI coding assistants and LLM APIs to streamline development processes, enhance code generation, and improve the overall efficiency of the engineering team.

  • Develop and maintain robust, scalable, and performant server-side logic using Node.js, supporting server-side rendering for enhanced SEO and initial load performance.

  • Implement and manage state management solutions within React applications to ensure predictable data flow and a consistent user experience across different application states.

  • Design and build reusable UI components and establish clear component architecture patterns to promote consistency, scalability, and ease of maintenance across the application codebase.

  • Write comprehensive unit tests, integration tests, and end-to-end tests using frameworks like Jest and React Native Testing Library to ensure the reliability and stability of shipped features.

  • Collaborate closely with UX/UI designers to translate wireframes and mockups from tools like Figma into functional, responsive, and visually appealing user interfaces.

  • Contribute to the continuous integration and continuous delivery (CI/CD) pipeline, ensuring smooth and automated deployments to production environments.

  • Document technical designs, implementation details, and API specifications to facilitate knowledge sharing and onboarding for new team members.

📝 Enhancement Note: The original description highlights "consumer experience and data platform" collaboration. This has been expanded to explicitly include the development and integration of UI components for AI-powered features and data visualization, given the mention of LLM APIs and AI coding assistants.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience, is strongly implied for a Senior Engineer role.

Experience: 6+ years of professional software development experience, with a significant focus on building and shipping modern web and mobile applications.

Required Skills:

  • Expertise in Modern Web Technologies: Deep proficiency in TypeScript/JavaScript and extensive experience with front-end frameworks such as React, React Native, and Next.js.

  • Component-Based Architecture: Strong understanding of component architecture principles, state management patterns (e.g., Redux, Zustand, Context API), and designing responsive user interfaces.

  • GraphQL & Apollo: Proven experience with GraphQL query language and Apollo client/server for efficient data fetching and management.

  • Node.js & SSR: Solid experience with Node.js for server-side development and implementation of server-side rendering (SSR) techniques.

  • AI Integration: Demonstrated experience with AI coding assistant tools and shipping production AI systems, including LLM APIs and creating great AI customer experiences.

  • Mobile Development (Expo): Experience shipping iOS and Android mobile applications, particularly using Expo for streamlined development.

  • Testing Discipline: Strong proficiency in writing comprehensive tests using frameworks like Jest, React Native Testing Library, and mobile end-to-end testing tools such as Maestro.

  • Design Collaboration: Familiarity with design tools like Figma for translating design mockups into functional code.

  • Agile Methodologies: Active participation and contribution to agile development processes, including ticket refinement, daily stand-ups, and retrospectives.

  • Version Control: Proficiency with version control systems, primarily Git.

  • Communication & Problem-Solving: Excellent verbal and written communication skills in English, strong analytical and problem-solving abilities, and a collaborative mindset.

  • Self-Direction: Ability to organize tasks, self-direct work, and proactively seek assistance when needed.

  • Geographic Alignment: Must currently reside within 150 km of Greater Delhi NCR, Greater Bangalore, or Greater Pune, India.

  • US Business Experience: Proven experience working effectively with US-based business teams.

Preferred Skills:

  • Containerization & Orchestration: Experience with Docker for containerization and Kubernetes for managing containerized applications.

  • CI/CD Practices: Familiarity with continuous integration and continuous delivery (CI/CD) practices and tools.

  • UI/UX Principles: A strong understanding of UI/UX design principles and best practices beyond just implementation.

📝 Enhancement Note: The "6+ years" experience aligns with a Senior Engineer I level. The core competencies listed are directly mapped to required skills. The geographic requirement is a critical qualification.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

  • Demonstrated UI/UX Excellence: Showcase projects that highlight exceptional user interface design, intuitive user experience, and responsive design implementation across various devices.

  • AI Integration Case Studies: Include examples of projects where AI technologies (LLM APIs, AI coding assistants) were integrated to solve problems or enhance user experiences, detailing the approach and outcomes.

  • Code Quality & Testing: Provide examples of well-structured, maintainable code, demonstrating a strong testing discipline with clear evidence of unit, integration, and E2E tests.

  • Performance Optimization: Highlight projects where performance was a key consideration, showcasing efforts to optimize load times, rendering, and overall application responsiveness.

  • Full-Stack JavaScript/TypeScript Application Examples: Showcase end-to-end applications that demonstrate proficiency across both front-end (React, React Native) and back-end (Node.js) development.

Process Documentation:

  • Workflow Design & Optimization: Document your approach to designing and optimizing development workflows, including how you've improved efficiency and code quality in previous roles.

  • System Implementation & Automation: Illustrate your experience with implementing new systems or features, emphasizing any automation efforts in development, testing, or deployment processes.

  • Measurement & Performance Analysis: Provide examples of how you've measured the success of your contributions, focusing on metrics related to user engagement, application performance, and development velocity.

📝 Enhancement Note: For a Senior UI Engineer with AI integration experience, a portfolio should explicitly showcase their ability to build user-centric interfaces that incorporate advanced AI features and demonstrate strong software engineering practices.

💵 Compensation & Benefits

Salary Range: INR 24,75,000 – INR 34,65,000 annually. This range is based on the provided pay range and is competitive for a Senior Software Engineer I with 6+ years of experience in the specified Indian metropolitan regions.

Benefits:

  • Health & Wellness: Comprehensive medical insurance, accident insurance, and robust wellness programs including weekly wellness events.

  • Financial Security: Retiral benefits to support long-term financial planning.

  • Time Off: Generous leave policy including 12 company-paid holidays, 2 flexible holidays, privilege/earned leave, casual/sick leave, and paid maternity and paternity leaves.

Working Hours: 8 hours per day (excluding breaks), with a mandatory 4-hour overlap with US core business hours (7:30 PM - 11:30 PM IST) and 4 flexible hours within the IST time zone.

📝 Enhancement Note: The salary range provided is directly from the input. The benefits are enumerated from the input and contextualized for their value to a professional. The working hours are detailed to highlight the cross-timezone collaboration requirement.

🎯 Team & Company Context

🏢 Company Culture

Industry: The company operates within the Home Services and Insurance Platform sector, leveraging a Software-as-a-Service (SaaS) model. Porch Group aims to be the premier partner for homebuyers, offering a suite of services from moving to home maintenance and protection, with homeowners insurance as a central offering.

Company Size: Porch Group is a publicly traded company (PRCH on Nasdaq) with a significant presence, indicating a mid-to-large enterprise structure. This size suggests a blend of established processes and opportunities for growth and impact.

Founded: Founded in 2020, Porch Group is a relatively young but rapidly growing company, evidenced by its recent IPO. This implies a dynamic, fast-paced environment with a strong focus on innovation and market expansion.

Team Structure:

  • Cross-Functional Collaboration: The role emphasizes working closely with product managers, web engineers, and data engineers, indicating a highly collaborative, cross-functional team structure.

  • Agile Development Pods: Teams likely operate in agile pods or squads, focused on delivering specific features or platform components, fostering autonomy and shared ownership.

  • Remote-First or Hybrid Model: With a "Remote OK" and specific Indian remote location requirements, the team structure will be adapted to support remote collaboration effectively, potentially with distributed team members.

Methodology:

  • Data-Driven Decision Making: The role requires a "data-driven approach" to problem-solving, suggesting that decisions are informed by analytics, metrics, and empirical evidence.

  • Agile & Lean Principles: Participation in agile processes (ticket refinement, daily syncs, retrospectives) points to an adoption of agile methodologies for iterative development and continuous improvement.

  • Focus on Quality & Maintainability: Emphasis on code reviews and balancing long-term code health with business needs highlights a commitment to building sustainable and high-quality software.

Company Website: https://porchgroup.com/

📝 Enhancement Note: The company description has been synthesized to highlight its industry, size, and founding context, emphasizing the implications for a software engineer in terms of dynamism and growth. The team structure and methodology are inferred from the role's collaborative nature and agile practices.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Senior Software Engineer I, indicating a mid-to-senior level position. It requires substantial technical expertise, the ability to lead design and development initiatives, and mentor junior engineers. The focus is on contributing to complex projects, driving technical decisions within the UI domain, and integrating advanced technologies like AI.

Reporting Structure: While not explicitly stated, a Senior Software Engineer typically reports to an Engineering Manager or a Lead Engineer. They are expected to work collaboratively within their engineering pod and interact with product management and other technical teams.

Operations Impact: The Senior Software Engineer plays a critical role in shaping the user experience of Porch Group's platform, directly impacting customer acquisition, engagement, and retention. By developing robust and intuitive interfaces, especially for AI-powered features, they contribute significantly to the company's mission of serving homebuyers and strengthening its insurance offerings. Their work on the data platform also underpins crucial business insights.

Growth Opportunities:

  • Technical Specialization: Deepen expertise in specific areas like advanced React Native development, AI/ML integration in front-end applications, or performance optimization for large-scale platforms.

  • Leadership Development: Progress into roles such as Tech Lead, Staff Engineer, or Engineering Manager, taking on more responsibility for technical strategy, team mentorship, and project leadership.

  • Cross-Functional Exposure: Gain broader experience by collaborating on different aspects of the platform, potentially exploring backend services, data engineering pipelines, or product strategy.

  • AI & Emerging Technologies: Continue to build expertise in cutting-edge AI technologies, positioning oneself as a go-to specialist for integrating advanced AI capabilities into user-facing products.

📝 Enhancement Note: The growth analysis focuses on typical career progression for a Senior Software Engineer, emphasizing both technical depth and leadership potential within a growing tech company, particularly in the context of AI integration.

🌐 Work Environment

Office Type: This is a fully remote position, allowing engineers to work from their preferred location within specified regions in India.

Office Location(s): The role is open to candidates residing within 150 km of Greater Delhi NCR, Greater Bangalore, or Greater Pune, India. This ensures alignment with critical US business hours overlap.

Workspace Context:

  • Remote Autonomy: Engineers are expected to manage their own work environment, requiring a quiet space conducive to focused coding and virtual collaboration.

  • Reliable Infrastructure: A stable internet connection with a minimum of 30 Mbps download and 10 Mbps upload speed is mandated to support real-time communication, code synchronization, and access to cloud-based development tools.

  • Digital Collaboration Tools: The team will rely heavily on digital collaboration platforms (e.g., Slack, Jira, Confluence, video conferencing tools) for communication, task management, and knowledge sharing.

Work Schedule: The standard work schedule is 8 hours per day, excluding breaks. A critical component is the required 4-hour overlap with US core business hours (7:30 PM - 11:30 PM IST), supplemented by 4 flexible hours within the IST time zone. This structure is designed to facilitate effective communication and collaboration with US-based teams.

📝 Enhancement Note: The work environment section is tailored to a remote role, emphasizing the requirements for a home office setup and the specific time zone overlap crucial for collaboration with US teams.

📄 Application & Portfolio Review Process

Interview Process:

  • Initial Screening: A review of your application, resume, and potentially a brief introductory call with a recruiter to assess basic qualifications and cultural fit.

  • Technical Interviews (Multiple Rounds): Expect several technical interview rounds focusing on:

    • Coding Challenges: Live coding sessions or take-home assignments testing proficiency in TypeScript/JavaScript, React, React Native, and problem-solving skills. These may include UI implementation, algorithm questions, and API integration scenarios.
    • System Design: Discussions on designing scalable and maintainable UI architectures, state management strategies, and how to integrate AI features effectively.
    • AI/ML Integration: Questions specifically probing your experience with LLM APIs, AI coding assistants, and the challenges/solutions in shipping AI-powered features.
  • Portfolio Review: A dedicated session where you will present selected projects from your portfolio, explaining your technical contributions, design choices, and the impact of your work.

  • Behavioral & Cultural Fit Interview: Discussions focused on your experience working in agile teams, collaborating with cross-functional partners, handling ambiguity, and aligning with Porch Group's values.

  • Hiring Manager Interview: A final discussion with the hiring manager to delve deeper into your experience, career aspirations, and how you envision contributing to the team.

Portfolio Review Tips:

  • Curate Selectively: Choose 2-3 of your strongest projects that best showcase your UI/UX skills, AI integration experience, and proficiency in the required tech stack (React, React Native, Node.js).

  • Structure Your Narrative: For each project, clearly articulate the problem statement, your role and contributions, the technical challenges faced, the solutions implemented (especially AI aspects), and the measurable outcomes (e.g., performance improvements, user engagement metrics).

  • Showcase Code Quality: Be prepared to walk through code snippets that demonstrate clean architecture, efficient state management, robust testing, and effective AI API usage.

  • Highlight AI Impact: Specifically detail how AI was used, what benefits it provided (e.g., developer productivity, enhanced user features), and any lessons learned.

  • Prepare for Questions: Anticipate questions about your design decisions, trade-offs made, and how you would handle specific scenarios or challenges related to UI development and AI integration.

Challenge Preparation:

  • Practice Live Coding: Utilize platforms like LeetCode, HackerRank, or AlgoExpert to practice coding problems relevant to JavaScript, algorithms, and data structures. Focus on problems related to UI rendering, state management, and API interactions.

  • System Design Scenarios: Study common UI system design patterns and challenges, particularly those involving scalability, performance, and the integration of complex features like AI.

  • AI Integration Scenarios: Prepare to discuss how you would approach integrating specific AI models or services into a user interface, considering factors like latency, data privacy, and user feedback loops.

  • Understand Core Technologies: Ensure a deep understanding of React, React Native, Next.js, Node.js, and GraphQL, including their underlying principles and best practices.

📝 Enhancement Note: This section is heavily tailored to a UI/AI-focused role, emphasizing portfolio elements that showcase AI integration and UI/UX expertise, along with specific preparation advice for technical and system design interviews.

🛠 Tools & Technology Stack

Primary Tools:

  • Front-end Frameworks: React, React Native, Next.js - Essential for building interactive web and mobile user interfaces.

  • State Management: Proficiency in libraries/patterns like Redux, Zustand, or React's Context API for managing application state effectively.

  • UI Component Libraries: Experience with component libraries and design systems to ensure consistency and accelerate development.

  • GraphQL & Apollo: Used for efficient data fetching and API interaction, enabling dynamic content rendering and complex data manipulation.

Analytics & Reporting:

  • Web Analytics: Tools like Google Analytics or similar platforms for tracking user behavior and application performance.

  • Performance Monitoring: Tools for monitoring front-end performance, identifying bottlenecks, and ensuring a smooth user experience.

  • Dashboarding Tools: Experience with tools that can visualize key performance indicators (KPIs) and application metrics for reporting to stakeholders.

CRM & Automation:

  • Component Libraries: While not a CRM, the ability to work with and potentially contribute to shared component libraries is key.

  • AI Coding Assistants: Tools like GitHub Copilot or similar AI-powered coding assistants are explicitly mentioned as required, aimed at boosting developer productivity.

  • Integration Tools: Understanding how front-end applications integrate with backend services and APIs is crucial.

Development & Deployment:

  • Version Control: Git is the standard for code management and collaboration.

  • Containerization: Docker for creating consistent development environments and packaging applications.

  • CI/CD Tools: Experience with continuous integration and continuous deployment pipelines for automated testing and releases.

  • Testing Frameworks: Jest, React Native Testing Library for unit and integration testing; Maestro for mobile E2E testing.

  • Design Tools: Figma for translating design mockups into code.

📝 Enhancement Note: The technology stack is derived directly from the "Core competencies" and "What You Will Bring" sections of the job description, emphasizing the key tools and frameworks relevant to a Senior UI Engineer with AI integration experience.

👥 Team Culture & Values

Operations Values:

  • Innovation & AI Adoption: A strong emphasis on embracing new technologies, particularly AI, to drive innovation in customer experience and development processes.

  • Quality & Maintainability: A commitment to writing high-quality, well-tested, and maintainable code, balancing short-term delivery needs with long-term architectural health.

  • Collaboration & Teamwork: A culture of proactive collaboration, open communication, and mutual support across cross-functional teams (product, engineering, data).

  • Data-Driven Decision Making: Valuing decisions informed by data and metrics, encouraging analytical thinking in problem-solving and performance assessment.

  • Customer Centricity: A focus on delivering exceptional customer experiences through intuitive and performant user interfaces.

Collaboration Style:

  • Agile & Iterative: Working in agile sprints, with regular feedback loops through daily stand-ups, code reviews, and retrospectives.

  • Cross-Functional Partnership: Close collaboration with product managers to define requirements and with data engineers to leverage data insights.

  • Proactive Communication: Encouraging team members to communicate openly, ask questions, and share knowledge to foster a supportive and efficient working environment.

  • Continuous Improvement: A culture that actively seeks opportunities for process and product enhancement through retrospectives and ongoing learning.

📝 Enhancement Note: The team culture and values are inferred from the job description's emphasis on agile practices, AI integration, collaboration, and data-driven problem-solving, tailored to a software engineering context.

⚡ Challenges & Growth Opportunities

Challenges:

  • Balancing Innovation with Stability: Integrating cutting-edge AI technologies while ensuring the stability, security, and maintainability of production systems.

  • Cross-Time Zone Collaboration: Effectively collaborating with US-based teams across significant time zone differences, requiring strong asynchronous communication skills and strategic meeting scheduling.

  • Rapidly Evolving Technology Landscape: Staying current with the fast-paced evolution of front-end frameworks, AI technologies, and best practices in the industry.

  • Scalability and Performance: Ensuring that UI applications and AI integrations scale effectively to handle a growing user base and increasing data loads without compromising performance.

Learning & Development Opportunities:

  • AI Specialization: Deepen expertise in AI/ML applications for front-end development, including prompt engineering, LLM integration best practices, and ethical AI considerations.

  • Advanced UI Architecture: Develop advanced skills in building complex, scalable, and performant front-end architectures, potentially exploring state-of-the-art patterns and libraries.

  • Leadership and Mentorship: Opportunities to mentor junior engineers, lead technical initiatives, and grow into a Tech Lead or Staff Engineer role.

  • Industry Exposure: Potential for participation in industry conferences, workshops, and online courses focused on emerging trends in UI development and AI.

📝 Enhancement Note: Challenges are framed around the core aspects of the role: AI integration, remote work across time zones, and the dynamic tech environment. Growth opportunities are aligned with typical career paths for senior engineers in such a field.

💡 Interview Preparation

Strategy Questions:

  • Technical Deep Dive: Be prepared to discuss your experience with TypeScript/JavaScript, React, React Native, Node.js, and GraphQL in detail. Expect questions on state management strategies, component design patterns, and performance optimization techniques.

  • AI Integration Scenarios: Discuss specific examples of how you've integrated LLM APIs or AI coding assistants. Be ready to explain the technical challenges, your approach to API calls, data handling, and how you measured success or impact.

  • System Design for UI: Prepare to design a scalable UI architecture for a complex application, focusing on modularity, performance, and maintainability. Consider how AI features would be integrated into such a design.

  • Problem-Solving Approach: Describe a complex technical problem you encountered and how you used a data-driven approach to diagnose and resolve it.

Company & Culture Questions:

  • Porch's Mission: Research Porch Group's business model, its role in the home services and insurance industry, and its mission to serve homebuyers. Understand how your role contributes to this mission.

  • Remote Collaboration: Discuss your experience working effectively in remote, distributed teams, especially with cross-functional colleagues and across different time zones.

  • Agile Practices: Explain your understanding of agile methodologies and how you contribute to sprint planning, code reviews, and retrospectives.

  • Handling Ambiguity: Describe a situation where you had to work with ambiguous requirements and how you navigated it to deliver a successful outcome.

Portfolio Presentation Strategy:

  • Storytelling: Frame your portfolio projects as compelling stories of problem, solution, and impact. Clearly articulate the "why" behind your technical decisions.

  • Quantify Achievements: Use metrics wherever possible to demonstrate the impact of your work (e.g., "improved load time by X%", "reduced developer onboarding time by Y%", "increased user engagement with AI feature by Z%").

  • Focus on AI Contribution: For AI-related projects, clearly explain the specific AI components used, your role in their integration, and the tangible benefits realized.

  • Code Walkthrough: Be ready to share your screen and walk through key code sections, highlighting best practices, testing strategies, and the elegance of your solutions.

  • Prepare Questions: Have thoughtful questions ready for the interviewers about the team, the technology roadmap, challenges, and company culture.

📝 Enhancement Note: Interview preparation is tailored to a Senior UI Engineer role with AI experience, focusing on technical depth, AI integration specifics, system design, and effective portfolio presentation strategies.

📌 Application Steps

To apply for this Senior Software Engineer I - UI position:

  • Submit your application through the provided link on the Porch Group careers portal.

  • Tailor Your Resume: Highlight your 6+ years of experience in web and mobile development, emphasizing your expertise in TypeScript, React, React Native, Next.js, Node.js, and GraphQL. Clearly showcase any experience with AI systems, LLM APIs, and AI coding assistants. Use keywords from the job description.

  • Curate Your Portfolio: Prepare a portfolio that includes 2-3 of your strongest projects. Focus on showcasing UI/UX design, responsive development, AI integration examples, and robust testing practices. Be ready to present and discuss these projects in detail.

  • Practice Interview Questions: Rehearse answers to common technical, behavioral, and system design questions, paying special attention to scenarios involving AI integration and cross-time zone collaboration. Prepare specific examples from your experience.

  • Research Porch Group: Familiarize yourself with Porch Group's business, mission, and values. Understand their position in the home services and insurance market, and consider how your skills can contribute to their goals.

⚠️ 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.

Application Requirements

Requires 6+ years of professional experience in web and mobile application development with expertise in the React ecosystem and Node JS. Must have experience shipping production AI systems and mobile apps, and reside near specific Indian metropolitan areas.