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It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. About Company : Fractal is a leading AI and analytics company that helps global enterprises turn data into decisions at scale. We are looking for a hands-on Senior Full Stack Engineer with 6+ years of experience to design, build, and scale enterprise-grade digital products across front-end, back-end, APIs, cloud, DevOps, and AI-enabled application layers. This role requires strong engineering ownership, practical design thinking, and the ability to deliver secure, reliable, and high-performing solutions in collaboration with architects, TPMs, and cross-functional teams. Role Brief: You will own critical feature implementation across web applications, APIs, integrations, cloud-native services, and AI-powered capabilities. The role combines deep hands-on engineering with practical participation in technical design, code quality, performance optimization, and operational excellence. You will work closely with architects, TPMs, product managers, QA engineers, DevOps engineers, designers, and peer developers to translate solution intent into scalable, maintainable, and production-ready systems. Key responsibilities include: - Develop robust, efficient, and maintainable code for critical features, ensuring both functional and non-functional requirements are met. - Participate in system and solution design discussions, contributing practical implementation insights, technical trade-offs, and pseudo-code where needed. - Act as a technical point of contact for day-to-day implementation issues, troubleshoot challenges quickly, and drive timely resolution. - Enforce and improve code quality through code reviews, engineering standards, automated testing, and secure development practices. - Collaborate closely with architects, TPMs, product teams, and platform teams to translate high-level designs and AI use cases into scalable, secure, and production-ready solutions. - Build and integrate AI-powered application capabilities such as copilots, intelligent assistants, summarization, search, recommendations, and workflow augmentation using LLM APIs and related services where relevant. - Implement AI-enabled solution patterns including prompt orchestration, retrieval-augmented generation (RAG), grounding strategies, structured outputs, tool or function calling, and quality or safety guardrails for enterprise use cases. - Support and improve DevOps practices including build pipelines, CI/CD workflows, automated testing, release readiness, and engineering observability. - Monitor, troubleshoot, and optimize application, system, and AI feature performance in line with project objectives, reliability expectations, latency targets, and cost considerations. - Document technical designs, implementation decisions, and operational considerations to support maintainability, auditability, and knowledge transfer. - Mentor junior engineers by sharing best practices, reviewing work products, and guiding them on sound engineering approaches. - Contribute to technical proposals, estimations, reusable assets, and implementation improvements including automation, refactoring, and component reuse. - Maintain compliance with security, quality, governance, and audit expectations, and contribute to broader process and capability improvement initiatives within CDT. Must Have - 6+ years of hands-on experience building enterprise-grade full-stack applications, with strong ownership of complex engineering workstreams from design through delivery. - Strong expertise in one or more modern front-end frameworks such as React, along with solid command of JavaScript/TypeScript, HTML5, and CSS3. - Solid back-end engineering experience in at least one major stack such as ,.NET (.NET Core). - Strong understanding of system design fundamentals, design patterns, API design, scalability, reliability, performance optimization, and distributed application architecture. - Experience with relational and/or NoSQL databases such as MySQL, PostgreSQL, SQL Server, MongoDB, or similar, including schema design and query performance tuning. - Hands-on experience building and consuming REST APIs and working with modern integration patterns across services and external systems. - Strong understanding of responsive web design, reusable component-based architecture, accessibility basics, and front-end performance optimization. - Hands-on experience with automated testing practices including unit, integration, and end-to-end testing using tools such as Jest, PyTest, Playwright, Cypress, or equivalent. - Working experience with cloud platforms such as Azure, AWS, or GCP, including deployment, configuration, observability, and support for cloud-native environments. - Hands-on experience with containerization and modern engineering environments using tools such as Docker, Kubernetes, or equivalent platforms. - Strong .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.