Full Stack Engineer

Fractal Analytics Ltd.; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Fractal Analytics Ltd. in Bengaluru invites a hands-on Full Stack Engineer with 3+ years of experience to build enterprise-grade digital products across front-end, back-end, APIs, cloud, and AI-enabled layers.

You will collaborate with senior engineers, product managers, and cloud teams to deliver reliable, scalable solutions for enterprise clients. You will contribute to AI-enabled features, participate in testing and reviews, and strengthen engineering depth through collaboration and

Qualifications

• 3+ years of experience building and supporting web applications.
• Proficiency in React, Angular, or Vue with JavaScript/TypeScript.
• Hands-on experience in Java Spring Boot backend development.
• Strong APIs, databases, authentication, debugging fundamentals.
• Experience with MySQL, PostgreSQL, SQL Server, or MongoDB.
• Knowledge of source control, CI/CD, testing, and secure coding.
• Familiarity with cloud platforms (Azure, AWS, or GCP).

Responsibilities

• Write clean, maintainable code aligned to project requirements and standards.
• Build and enhance front-end, back-end, API, and integration components.
• Contribute to AI-enabled features by integrating AI services or copilots.
• Participate in unit and integration testing, debugging, and defect resolution.
• Validate AI-assisted outputs and ensure secure, scalable behaviour.
• Collaborate in Agile rituals, code reviews, and cross-functional delivery.
• Maintain technical documentation for code and implementations.
• Learn new technologies and strengthen engineering practices.

Skills

React

Java Spring Boot

APIs & Microservices

SQL/NoSQL Databases

CI/CD

Cloud Platforms

AI Tools Exposure

Tools

Docker

Kubernetes

Job description

Full Stack Engineer (Reacts + java Spring Boot)

Job Locations: Bengaluru, Hyderabad, Pune, Chennai, Gurugram, Coimbatore

About Company: Fractal is a leading AI and analytics company that helps global enterprises turn data into decisions at scale. We are hiring a hands‑on Full Stack Engineer with 3+ years of experience to build enterprise‑grade digital products across front‑end, back‑end, APIs, cloud, and AI‑enabled application layers. In this role, you will develop secure, maintainable, and high‑performing software while collaborating closely with senior engineers and cross‑functional teams.

Role Brief: This role is suited for an engineer with a strong full‑stack foundation and interest in modern AI‑enabled products. You will contribute across web applications, APIs, integrations, cloud‑native platforms, and intelligent workflows while strengthening your engineering depth through coding, testing, debugging, collaboration, and continuous learning. You will work with senior engineers, technical leads, product managers, designers, QA engineers, and cloud teams to deliver reliable, scalable, and user‑focused digital solutions for enterprise clients.

Key Responsibilities

• Write clean, maintainable, and efficient code aligned to project requirements, coding standards, and engineering best practices.
• Build and enhance front‑end, back‑end, API, and integration components under the guidance of senior engineers or technical leads.
• Contribute to AI‑enabled application features by integrating approved AI services, copilots, or intelligent workflow components into digital products.
• Participate in unit testing, integration testing, debugging, and defect resolution to improve product quality and reliability.
• Validate AI‑assisted outputs and application behaviour through testing, logging, and feedback loops while following responsible AI and security practices.
• Collaborate in Agile team rituals, code reviews, and cross‑functional delivery discussions to ensure alignment, transparency, and timely execution.
• Maintain clear technical documentation for code, implementation notes, and reusable engineering practices.
• Learn and adopt new technologies, frameworks, tools, and AI engineering practices to strengthen delivery capability.
• Contribute positively to engineering culture through ownership, collaboration, and openness to feedback.

Must Have

• 3+ years of experience building and supporting web applications with hands‑on exposure to both front‑end and back‑end development.
• Proficiency in one or more modern front‑end frameworks such as React, Angular, or Vue, with solid command of JavaScript/TypeScript, HTML5, and CSS3.
• Hands‑on experience in at least one back‑end stack such as Java (Spring Boot).
• Strong understanding of APIs, databases, authentication, debugging, and software engineering fundamentals required to deliver production‑ready code.
• Experience with relational or NoSQL databases such as MySQL, PostgreSQL, SQL Server, or MongoDB.
• Working knowledge of source control, code review workflows, CI/CD fundamentals, testing practices, and secure development principles.
• Familiarity with cloud platforms such as Azure, AWS, or GCP, including deployment, logging, and monitoring fundamentals.
• Exposure to AI‑assisted development tools or AI‑enabled application development, including coding assistants or features powered by AI services.
• Strong collaboration, communication, learning agility, and ownership mindset in Agile delivery environments.

Nice to Have

• Exposure to containerization technologies such as Docker and basic orchestration concepts.
• Experience working with design systems, UI libraries, or responsive design implementation.
• Familiarity with observability, caching, messaging systems, or performance monitoring tools.
• Exposure to AI application patterns such as prompt‑based features, LLM integrations, retrieval‑assisted experiences, AI workflow orchestration, or basic evaluation and monitoring concepts.
• Experience using AI developer productivity tools for code generation, test support, code explanation, or documentation assistance.

Evaluation Focus

coding fundamentals, full‑stack development concepts, API and database understanding, debugging and testing ability, ability to work effectively under guidance, exposure to AI‑enabled development, and clear technical communication.

Additional Signals

• curiosity
• consistency in delivery
• attention to code quality
• eagerness to learn
• positive contribution to team collaboration

What Success Looks Like

• Deliver well‑structured code that meets functional requirements and aligns with team engineering standards.
• Complete assigned work reliably, seek clarification when needed, and collaborate effectively with senior engineers and peers.
• Improve product quality through active participation in reviews, testing, debugging, and documentation.
• Show learning agility by adopting new tools, frameworks, and AI‑enabled engineering practices.
• Communicate progress and risks clearly while growing into broader technical responsibilities over time.

If you like wild growth and working with happy, enthusiastic over‑achievers, you'll enjoy your career with us!

Our growth is creating great opportunities! Our team is expanding, and we want to hire the most talented people we can. Continued success depends on it! So once you've had a chance to explore our current open positions, apply to the ones you feel suit you best and keep track of both your progress in the selection process, and new postings that might interest you! Thanks for your interest in working on our team!!

At Fractal, towards our goal of “powering every human decision in the enterprise”, our partnerships and alliances help in creating and delivering a compelling suite of solutions to unlock value. We partner with companies from around the globe, leaders in their respective fields. With Fractal’s expertise in artificial intelligence, design, engineering, and digital transformation, combined with the data, technology, and software platforms from our partners, we create cutting‑edge solutions to problems in the business world. We understand how critical and timely decision triggers, and information, empower our clients to create, unlock, deliver, and realize value. Together with our partners, our goal is to serve each client in their end‑to‑end data‑to‑decision journey.