UI Fullstack Developer

📍 Job Overview

Job Title: UI Fullstack Developer

Company: SAS

Location: Pune, Maharashtra, India

Job Type: Full-time

Category: Software Development / Engineering

Date Posted: 2026-04-01

Experience Level: 6-8 Years

Remote Status: On-site

🚀 Role Summary

• Seeking a passionate UI/Full Stack Developer to join the SAS Analytics for IoT team, focusing on building enterprise-level, end-to-end analytics products.

• This role involves designing, developing, and maintaining high-performance, scalable UI and mid-tier code for transforming high-volume, high-velocity IoT data into actionable business insights.

• The position requires a strong foundation in backend development (GoLang/Java), with a focus on automation frameworks for testing and deployment.

• Responsibilities include building intuitive user interfaces using React and TypeScript to enhance data visualization and user experience, contributing to a mission-critical analytics platform.

📝 Enhancement Note: While the title is "UI Fullstack Developer," the core responsibilities and required technologies (GoLang, Java, microservices, Docker, Kubernetes, DevOps) lean heavily into robust backend and DevOps practices, in addition to UI development. This suggests a role that requires a strong understanding of the entire software development lifecycle and infrastructure. The emphasis on IoT data and analytics product development indicates a need for understanding data pipelines and real-time processing.

📈 Primary Responsibilities

• Design and develop high-quality, testable, and scalable software solutions within established timelines, adhering to R&D best practices and processes.

• Develop robust backend services using GoLang or Java, with a strategic focus on implementing and enhancing automation frameworks for comprehensive testing and efficient deployment pipelines.

• Build intuitive and responsive user interfaces using React and TypeScript (or comparable UI frameworks) to significantly improve data visualization capabilities and overall user experience for IoT analytics platforms.

• Implement and maintain microservices architecture, ensuring seamless integration and efficient communication through well-defined REST APIs.

• Contribute to the DevOps culture by actively participating in and improving CI/CD processes, containerization (Docker), and orchestration (Kubernetes).

• Ensure high software quality through rigorous functional, unit, and performance testing, including the automation of key use cases to drive efficiency.

• Collaborate closely with cross-functional teams, including product managers, data scientists, and other engineers, to troubleshoot complex issues, iterate on features, and deliver high-quality software solutions.

• Mentor junior developers, sharing expertise in full-stack development, microservices, and best practices to foster team growth and technical excellence.

📝 Enhancement Note: The responsibilities highlight a need for a developer who can not only code but also understand and contribute to the broader software engineering lifecycle, including testing automation, deployment, and collaboration. The mention of "automating few use cases" and "automation frameworks" suggests a proactive approach to efficiency and quality assurance.

🎓 Skills & Qualifications

Education: Master of Technology (M.Tech) / Master of Science (MS) / Bachelor of Technology (B.Tech) in Computer Science or Engineering.

Experience: 6-8 years of professional experience in software development, with a proven track record in building scalable applications.

Required Skills:

• Proficiency in UI development using TypeScript and React (or comparable modern UI frameworks).

• Strong experience in backend development with GoLang and/or Java.

• Deep understanding of microservices architecture, including design principles and implementation patterns.

• Hands-on experience with containerization technologies such as Docker.

• Familiarity with container orchestration platforms, particularly Kubernetes.

• Solid understanding of DevOps practices, including CI/CD pipelines and Git version control.

• Proven experience with RESTful API design and development.

• Demonstrated ability in building and maintaining automated testing frameworks (functional, unit, performance).

• Excellent problem-solving skills and the ability to mentor junior developers.

Preferred Skills:

• Knowledge of Python for scripting, automation, or other development tasks.

• Experience with other UI frameworks beyond React.

• Familiarity with advanced cloud-native development patterns and practices.

• Experience in data visualization libraries and techniques.

• Understanding of IoT data ingestion, processing, and analytics lifecycles.

📝 Enhancement Note: The "Required Qualifications" section is quite specific about the technology stack, emphasizing a full-stack capability with a strong preference for GoLang and Java on the backend and React/TypeScript on the frontend. The mention of LLM usage is a modern addition, suggesting the company is exploring AI in its development processes.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Project Demonstrations: Showcase at least 2-3 significant full-stack projects that highlight your ability to design, develop, and deploy complete applications, from UI to backend services.

• Code Samples: Provide access to well-documented code repositories (e.g., GitHub) demonstrating proficiency in GoLang/Java, React/TypeScript, and microservices architecture. Focus on code quality, readability, and adherence to best practices.

• Architecture Diagrams: Include diagrams illustrating the architecture of complex systems you've worked on, particularly those involving microservices, APIs, and data pipelines.

• Performance & Scalability: Present evidence or case studies of how you've designed systems for high performance and scalability, especially in handling high-volume or high-velocity data.

Process Documentation:

• Workflow Design: Illustrate your understanding of designing efficient development workflows, including CI/CD pipelines, testing strategies, and deployment processes.

• Automation Examples: Provide examples of automation implemented in previous roles, such as automated testing, deployment scripts, or infrastructure as code.

• Agile Methodologies: Be prepared to discuss your experience working within Agile frameworks, including sprint planning, daily stand-ups, retrospectives, and continuous integration.

• Troubleshooting & Debugging: Detail your systematic approach to identifying, diagnosing, and resolving complex technical issues across the full stack.

📝 Enhancement Note: For a role emphasizing full-stack development and microservices, a portfolio that demonstrates end-to-end project ownership and technical depth across different layers of the application stack is crucial. Highlighting contributions to automation and system performance will be key differentiators.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for experienced UI Fullstack Developers in Pune, India, with 6-8 years of experience and expertise in GoLang, Java, React, and Microservices, the estimated salary range is ₹1,800,000 - ₹2,800,000 per annum. This range can vary based on specific skill alignment, interview performance, and final negotiation.

Benefits:

• Comprehensive health insurance coverage for employees and dependents.

• Retirement savings plans and employee stock purchase options.

• Paid time off, including vacation, sick leave, and national holidays.

• Opportunities for professional development, including training programs, certifications, and conference attendance.

• Access to company-provided resources for well-being and work-life balance initiatives.

• Potential for performance-based bonuses and annual increments.

Working Hours: Standard full-time working hours are typically 40 hours per week, with potential for some flexibility depending on project needs and team agreements. The role is based on-site in Pune.

📝 Enhancement Note: The salary estimate is based on current market data for senior full-stack developers in Pune, India, considering the specified experience level and technology stack. The benefits are typical for established tech companies in India, aiming to attract and retain skilled professionals.

🎯 Team & Company Context

🏢 Company Culture

Industry: Software & Data Analytics, with a specific focus on IoT Analytics. SAS is a global leader in business analytics software and services.

Company Size: SAS is a large enterprise, employing thousands of individuals worldwide. This means access to extensive resources, established processes, and a global network of professionals.

Founded: SAS was founded in 1976, giving it a long history of innovation and stability in the technology sector.

Team Structure:

• The role is within the "SAS Analytics for IoT" team, indicating a specialized group focused on a critical and growing area of SAS's business.

• The team likely comprises a mix of frontend developers, backend developers, DevOps engineers, QA specialists, and potentially product managers or technical leads, fostering a collaborative engineering environment.

Methodology:

• The team operates within an Agile development methodology, emphasizing iterative development, continuous feedback, and adaptability to changing requirements.

• A strong focus is placed on R&D best practices, including robust code quality, testability, and scalability.

• DevOps principles are integrated into the development lifecycle, aiming for efficient and reliable software delivery through automation and collaboration.

Company Website: www.sas.com

📝 Enhancement Note: SAS's long history and large size suggest a stable yet innovative work environment. The specific team focus on IoT Analytics points to a forward-looking division working on cutting-edge technology.

📈 Career & Growth Analysis

Operations Career Level: This position is for an experienced UI Fullstack Developer, typically falling into a mid-to-senior level role (6-8 years of experience). It requires not only strong technical execution but also the ability to mentor junior team members and contribute to architectural discussions.

Reporting Structure: The developer will likely report to a Software Engineering Manager or Team Lead. Collaboration will extend across various engineering disciplines and potentially product management, facilitating exposure to different facets of product development.

Operations Impact: As a developer on the Analytics for IoT platform, this role directly impacts the company's ability to deliver cutting-edge solutions for a high-growth market. Contributions will be crucial for the performance, scalability, and user experience of products that transform IoT data into actionable business insights, directly influencing customer success and SAS's market position.

Growth Opportunities:

• Technical Specialization: Deepen expertise in specific areas like GoLang, Kubernetes, advanced UI patterns, or LLM integration within the IoT analytics domain.

• Leadership Development: Progress into a Tech Lead role, taking on more responsibility for architectural design, project planning, and mentoring junior engineers.

• Cross-Functional Exposure: Gain experience working with data scientists, AI/ML specialists, and product strategists to influence product direction and innovation.

• Architectural Contributions: Contribute to high-level system design and architectural decisions for future iterations of the IoT analytics platform.

📝 Enhancement Note: The role offers a clear path for technical growth and potentially leadership within a specialized, high-impact product team at a reputable tech company.

🌐 Work Environment

Office Type: The role is designated as on-site, suggesting a traditional office environment with dedicated workspaces.

Office Location(s): Pune, Maharashtra, India. This location likely offers a modern office facility designed to foster collaboration and productivity.

Workspace Context:

• The environment is expected to be collaborative, with opportunities for direct interaction and knowledge sharing with team members.

• Access to standard developer tools, high-performance computing resources, and robust network infrastructure is anticipated.

• Team members will likely engage in regular stand-ups, sprint planning sessions, and code reviews, fostering a dynamic and interactive work culture.

Work Schedule: A standard 40-hour work week is expected, with the possibility of occasional adjustments based on project deadlines or urgent issues. The on-site nature implies a structured daily schedule.

📝 Enhancement Note: The on-site requirement in Pune indicates a preference for in-person collaboration, which can be beneficial for team cohesion and rapid problem-solving in complex development projects.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will conduct an initial call to assess basic qualifications, experience, and cultural fit.

• Technical Screening: Expect a technical interview, possibly a coding challenge or a deep dive into your experience with the required technologies (GoLang, Java, React, TypeScript,

Microservices).

• On-Site/Virtual Interviews: Multiple rounds of interviews, potentially including:

  • A panel interview focusing on system design, architectural thinking, and problem-solving.
  • A session dedicated to reviewing your portfolio or code samples, discussing your contributions and technical decisions.
  • Interviews with potential team members and the hiring manager to assess collaboration skills and team fit.

• Final Round: A potential discussion with senior leadership or a final comprehensive review.

Portfolio Review Tips:

• Curate Selectively: Choose projects that best demonstrate your full-stack capabilities, especially those involving microservices, IoT data, or complex UI/UX.

• Highlight Impact: For each project, clearly articulate the problem you solved, your specific contributions, the technologies used, and the measurable outcomes or impact.

• Code Quality: Ensure any shared code is clean, well-commented, and follows best practices. Be prepared to discuss your design choices and trade-offs.

• System Design: Be ready to walk through architectural diagrams and explain your reasoning behind specific design decisions, particularly concerning scalability, performance, and maintainability.

• Mentorship: If you have examples of mentoring junior developers, prepare to discuss your approach and impact.

Challenge Preparation:

• Coding Proficiency: Practice coding challenges on platforms like LeetCode or HackerRank, focusing on algorithms, data structures, and problem-solving efficiency, particularly in GoLang or Java.

• System Design: Study common system design patterns for microservices, APIs, and scalable applications. Be prepared to design a system from scratch or discuss improvements to an existing one.

• Technology Deep Dive: Refresh your knowledge on the specific technologies listed in the job description (React, TypeScript, Docker, Kubernetes, REST APIs).

• Behavioral Questions: Prepare answers for common behavioral questions related to teamwork, problem-solving, handling challenges, and leadership, using the STAR method.

📝 Enhancement Note: A strong portfolio showcasing end-to-end development and technical problem-solving skills, along with preparation for system design and coding challenges, will be crucial for success in the interview process.

🛠 Tools & Technology Stack

Primary Tools:

• Backend Languages: GoLang, Java (primary focus), Python (preferred for scripting/automation).

• Frontend Frameworks: React, TypeScript (primary focus).

• Microservices: Spring Boot (for Java), Go framework (for GoLang).

• Containerization: Docker.

• Orchestration: Kubernetes.

• API Development: RESTful APIs.

Analytics & Reporting:

• Data Visualization Libraries: e.g., D3.js, Chart.js (used with React).

• Internal SAS Analytics Tools: While not explicitly stated, expect potential integration with or exposure to SAS's own powerful analytics and visualization platforms.

CRM & Automation:

• Version Control: Git (mandatory).

• CI/CD Tools: Jenkins, GitLab CI, or similar for automated testing and deployment pipelines.

• Collaboration Tools: JIRA, Confluence, Slack, or similar for project management and communication.

📝 Enhancement Note: The specified technology stack is modern and robust, emphasizing a need for developers comfortable with building scalable, cloud-native applications. Familiarity with the full lifecycle from UI to backend and deployment is key.

👥 Team Culture & Values

Operations Values:

• Innovation & Curiosity: A drive to explore new technologies and approaches, especially in the rapidly evolving field of IoT analytics.

• Quality & Excellence: A commitment to delivering high-quality, robust, and well-tested software solutions.

• Collaboration & Teamwork: A strong emphasis on working together across disciplines to achieve common goals, fostering an environment of mutual support and knowledge sharing.

• Agility & Adaptability: The ability to thrive in a fast-paced, dynamic environment, embracing change and iterating quickly on solutions.

• Ownership & Accountability: Taking responsibility for tasks and projects, demonstrating a commitment to seeing them through to successful completion.

Collaboration Style:

• The team likely practices a highly collaborative approach, with frequent communication through daily stand-ups, code reviews, and joint problem-solving sessions.

• Cross-functional collaboration is essential, requiring effective communication and coordination with product managers, QA engineers, and potentially data scientists.

• An open feedback culture is encouraged, where constructive criticism is welcomed to drive continuous improvement in both individuals and the product.

📝 Enhancement Note: SAS emphasizes a culture that values continuous learning and contribution. The specific team's focus on IoT analytics suggests a dynamic, forward-thinking environment where innovation and collaboration are paramount.

⚡ Challenges & Growth Opportunities

Challenges:

• Complexity of IoT Data: Working with high-volume, high-velocity data streams from diverse IoT devices presents unique engineering challenges in ingestion, processing, and storage.

• Scalability & Performance: Ensuring the platform can scale to meet increasing data loads and user demands while maintaining high performance will be an ongoing challenge.

• Rapid Technological Evolution: Staying abreast of the fast-paced advancements in cloud-native technologies, AI, and IoT is crucial.

• Cross-Functional Integration: Effectively integrating frontend, backend, and DevOps efforts to deliver a cohesive product requires strong communication and coordination.

Learning & Development Opportunities:

• Advanced Technology Training: Opportunities to gain deeper expertise in GoLang, Kubernetes, advanced React patterns, or explore new technologies like machine learning integration for IoT data.

• Industry Conferences & Certifications: Support for attending relevant conferences and pursuing certifications in cloud-native technologies, DevOps, or specific programming languages.

• Mentorship Programs: Access to experienced mentors within SAS who can guide career development and technical skill enhancement.

• Exposure to Enterprise-Scale Projects: Working on mission-critical, large-scale systems that impact global customers provides invaluable experience.

📝 Enhancement Note: The role offers the chance to tackle complex, real-world problems in the growing IoT analytics space, with ample opportunities for professional and technical growth within a leading technology company.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex microservices architecture you designed or contributed to. What were the key challenges, and how did you address them?" (Focus on your role, technical decisions, and outcomes).

• "Walk me through your process for building a highly interactive and performant UI component using React and TypeScript. How do you ensure scalability and maintainability?" (Highlight your UI development best practices).

• "How have you used GoLang or Java to build robust backend services, and how do you approach automation for testing and deployment?" (Emphasize your backend skills and DevOps mindset).

Company & Culture Questions:

• "What interests you about SAS and specifically the Analytics for IoT team?" (Research SAS's mission, products, and recent news, especially in IoT).

• "How do you approach collaboration with cross-functional teams, such as Product Management or QA?" (Provide examples of successful collaborations).

• "Describe a time you had to adapt to a rapidly changing requirement or technology. How did you handle it?" (Showcase your agility and problem-solving skills).

Portfolio Presentation Strategy:

• Tell a Story: For each project in your portfolio, craft a narrative that explains the problem, your solution, your specific contributions, and the impact achieved.

• Quantify Achievements: Whenever possible, use metrics to demonstrate the success of your work (e.g., "improved performance by X%", "reduced load times by Y seconds," "handled Z transactions per second").

• Technical Depth: Be prepared to dive deep into the technical details of your projects, explaining your design choices, trade-offs, and challenges overcome.

• Clean Code Showcase: If sharing code, ensure it's well-organized, commented, and representative of your best work. Be ready to discuss specific code snippets.

📝 Enhancement Note: The interview process will likely test not only your technical skills but also your ability to think critically about system design, solve complex problems, and collaborate effectively within an Agile and DevOps-oriented environment.

📌 Application Steps

To apply for this UI Fullstack Developer position:

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

• Portfolio Customization: Tailor your resume and any portfolio links to highlight your experience with GoLang, Java, React, TypeScript, microservices, Docker, and Kubernetes, particularly any projects involving data processing or analytics.

• Resume Optimization: Ensure your resume clearly details your 6-8 years of professional experience, emphasizing achievements in full-stack development, backend service creation, UI implementation, and automation. Use keywords from the job description.

• Interview Preparation: Practice coding exercises, system design scenarios, and behavioral questions. Be ready to discuss your portfolio projects in detail, focusing on your technical contributions and the impact of your work.

• Company Research: Familiarize yourself with SAS's products, its role in the analytics and IoT space, and its company culture. Understand how your skills align with SAS's mission and the specific goals of the Analytics for IoT team.

⚠️ 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.