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Description & Requirements Who we are looking for 📌 This is a future-oriented recruitment process. While we may not have an immediate opening, we're building a network of talented engineers interested in future opportunities with Deloitte. We expect demand to grow in the coming months, so we'd love to get to know great candidates in advance. We are looking for a strong Backend Engineer or Full-Stack Engineer with deep backend expertise who can combine software engineering excellence with a Forward Deployed Engineer mindset. This person will work closely with clients, architects, product teams, and business stakeholders to rapidly understand problems, design practical solutions, build prototypes, and deliver production-ready applications. The ideal candidate is comfortable working in ambiguous environments, translating business needs into technical solutions, and using modern AI development tools to accelerate design, coding, testing, documentation, and delivery. A person who enjoys solving complex business problems rather than working with a predefined technology stack. Required experience and skills: Experience in consulting, client-facing engineering, solution engineering, or Forward Deployed Engineering. Approximately 5+ years of professional software development experience. Strong backend development experience using technologies such as Java, C#, Python, Node.js, TypeScript, or similar. Experience designing REST APIs, event-driven services, integrations, and distributed systems. Strong knowledge of relational and non-relational databases. Experience with cloud platforms such as Azure, AWS, or Google Cloud. Understanding of software architecture, security, scalability, performance, and maintainability. Hands-on experience with Git, automated testing, CI/CD, containers, and modern development practices. Ability to independently investigate unfamiliar systems and quickly become productive. Strong problem-solving, communication, and stakeholder-management skills. Ability to work directly with clients and operate effectively when requirements are incomplete or rapidly evolving. Practical experience using AI coding tools such as GitHub Copilot, Cursor, Claude Code, ChatGPT, or similar. Valid work permit AI Engineering capabilities: Understanding of LLM-based application architecture. Experience with prompt engineering, structured outputs, tool calling, agents, and RAG patterns. Ability to evaluate AI-generated code for correctness, security, performance, and maintainability. Experience using AI tools to accelerate the complete software-development lifecycle. Ability to move quickly from an idea or natural-language requirement to a working prototype without compromising production engineering standards. Additional experience that will help you succeed: Frontend experience with React, Angular, Vue, or similar frameworks. Experience with Kubernetes, Docker, serverless platforms, or microservices. Knowledge of enterprise platforms such as Salesforce, Microsoft, Creatio, or comparable systems. Experience delivering AI agents, copilots, workflow automation, or intelligent enterprise applications. Familiarity with observability, infrastructure as code, API management, and integration platforms. Your future role Design, develop, and maintain scalable backend services, APIs, integrations, and data-processing solutions. Build full-stack applications when required, with primary ownership of backend architecture and implementation. Work directly with clients and business stakeholders to understand challenges and translate them into working software. Rapidly prototype, validate, and roll out new solutions. Take end-to-end ownership, from requirements discovery and solution design to deployment and operational support. Integrate enterprise platforms, cloud services, databases, APIs, and AI capabilities. Use AI-assisted development tools for code generation, refactoring, testing, debugging, documentation, and rapid experimentation. Apply rapid “vibe coding” techniques responsibly while maintaining security, maintainability, testing, and engineering quality. Build AI-enabled applications using LLMs, agents, retrieval-augmented generation, tool calling, and structured data. Establish reusable development patterns, accelerators, templates, and engineering standards. Support CI/CD pipelines, automated testing, monitoring, observability, and production troubleshooting. Collaborate with architects, DevOps engineers, data engineers, frontend developers, and client delivery teams. Communicate technical decisions, trade-offs, risks, and recommendations clearly to both technical and non-technical audiences. Selection process What you only must do is to take the first step – press the apply button and send us your CV, go through all the stages of the recruitment process: CV check and then HR screening Technical interview with our Architects Meeting with Business (optional, depends on case) Then, last thing to do will be to sign a contract with us. Deloitte is simply your best choice. 🟢
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.