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Who We Are At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. Our Impact Corporate Planning & Management (CPM) unifies Finance & Planning, Global Procurement, Product & Reporting and CPM Engineering teams to deliver business planning and analytics, expense management, third party risk management, sustainability strategy for our operations and supply chain, and governance strategies across the firm. CPM Engineering provides engineering solutions that enable the firm to manage third-party spend & risk management, plan budgets, forecast financial scenarios, allocate expenses and support corporate decision making in-line with the firms strategic objectives. Why does this role stand out: Direct business impact - your work shapes how the firm plans, spends, forecasts, and makes strategic decisions.Build solutions across data, automation, platforms, and decision-support tools, not just isolated applications.Cross-functional exposure - partner closely with finance, procurement, product, and risk leaders across a global organization.Complex, meaningful problems - work on systems that improve transparency, controls, efficiency, and scalability across enterprise operations. We offer: The opportunity to work on high-impact platforms that directly influence firm-wide financial planning and operational resilienceAccess to modern cloud-native architectures, distributed systems, and large-scale data pipelinesA forward-looking environment where AI tools, agentic frameworks, and intelligent automation are actively shaping the next generation of our solutionsA collaborative, global team where you can learn from experts and grow your career How You Will Fulfill Your Potential As a Software Developer on our team, you will: Design, develop, and maintain full-stack applications across the entire software lifecycle from requirements gathering and architecture through implementation, testing and deploymentBuild responsive, intuitive experiences and robust back-end services that power financial planning, expense management, and risk platformsLeverage AI tools and techniques (e.g., code-generation assistants, LLM-powered automation, prompt engineering, Spec-Driven Development) to accelerate development, improve code quality, and enhance platform capabilitiesContribute to the design and development of AI-driven and agentic solutions, including intelligent workflows, retrieval-augmented generation (RAG) pipelines, and automated decision-support systemsCollaborate globally with sponsors, users, and engineering colleagues across multiple divisions to create end-to-end solutions that meet complex business requirementsParticipate in code reviews to ensure quality, maintainability, and adherence to engineering best practicesTake technical ownership of features and components, managing multiple stakeholders and driving delivery within a global teamStay current with the latest advancements in AI/ML platforms, tools, and software engineering practices to continuously improve our solutions Qualifications Required Bachelor's or master's degree in computer science, Computer Engineering, or a similar field of study.3+ years of proficiency in Java (preferred) or another major programming language (Python), with readiness to upskill where necessaryFull-stack development experience - comfortable building both front-end (e.g., React, JavaScript/TypeScript) and back-end (e.g., Java, Spring Framework, APIs) componentsStrong analytical and problem-solving skills - experience with algorithms, data structures, and software designExcellent programming skills - developing, debugging, testing, and optimizing codeProficiency in utilizing AI tools for software development (e.g., AI-assisted coding, code review tools, LLM-based productivity tools)Foundational understanding of AI and agentic systems - familiarity with concepts such as large language models, prompt engineering, retrieval-augmented generation (RAG) etc.Knowledge of cloud-native solutions in AWSComfortable with technical ownership, managing multiple stakeholders, and working as part of a global team Preferred - Experience That Can Set You Apart Experience with distributed databases such as MongoDB and/or ElasticsearchExperience with open-source messaging systems like KafkaSystems experience in UNIX/Linux, especially in scaling for performance and debugging complex distributed systemsExperience with API design - creating interconnected services, message buses, or real-time processing systemsExposure to GenAI techniques including RAG pipelines, model fine-tuning, agentic frameworks (e.g., LangChain, AutoGen), or embedding models and vector databasesFamiliarity with MLOps practices .
Here's where they are and how to stand out in your next interview.
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That number includes positions in India (9,577), Poland (3,429), the United States (1,753), Singapore (787), and Brazil (779). If you're looking to move or work remotely, check which countries match your goals — then filter WorkMundi by location to see what's actually hiring near you.
Most developer ads you'll see are written in English: 18,397 of the 24,795. That doesn't tell you whether the job itself requires you to speak English or work in English daily, so read each posting carefully. Don't assume the language of the ad matches the language of the team.
The employers posting the most developer roles are Link Group (369 jobs), Upvanta (257), jobgether (226), and OfferZen (212). If you're applying to any of these, research their hiring patterns. They move fast and post often, which means they're either scaling hard or replacing people who didn't fit.
In your interview, expect this: 'Walk me through the last time you had to debug something that took you more than an hour. What was it, what did you try first, and what would you do differently?' Hiring managers ask this to see if you think systematically or just try random fixes. Have a real example ready with specifics.