3 Days Left: SpurTree Technologies

Job Description Location : Bangalore Employment Type : Full-time About The Role We are seeking a Lead Software Engineer with experiences in full stack and strong experience in Data, AI, Cloud, and DevOps. As a critical resource across multiple engagements, you will work on diverse projects involving full-stack development, AI-driven applications, scalable cloud solutions, and DevOps automation. You should be highly adaptable, eager to learn, and capable of delivering high-quality, efficient, and scalable solutions across multiple domains. Key Responsibilities Full-Stack Development (MERN & Beyond) - Design, develop, and maintain scalable full-stack applications on web and mobile. - Optimize front-end performance and ensure smooth UI/UX experiences. - Build and integrate RESTful & GraphQL APIs. Data & AI Development - Work with data pipelines, ETL processes, and real-time data processing. - Integrate AI/ML models (TensorFlow, PyTorch, OpenAI APIs, or similar) into applications. - Develop AI-powered features such as recommendation engines, chatbots, and agentic solutions. Cloud & DevOps - Deploy, manage, and optimize applications on AWS, Azure, or GCP. - Implement Infrastructure as Code (Terraform, CloudFormation, Pulumi) for cloud automation. - Design and maintain CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI/CD, or similar. - Manage containerized applications using Docker & Kubernetes. - Ensure scalability, security, and performance of cloud-based applications. Cross-Project Collaboration & Problem Solving - Act as a critical resource across multiple projects, adapting quickly to different technical needs. - Debug, troubleshoot, and optimize both front-end and back-end systems. - Stay updated on emerging web, mobile, AI, and cloud technologies, bringing innovative ideas to the team. Qualifications - 5+ years of experience as a full-stack software developer. - Proficiency in JavaScript, TypeScript, Python, Java, .NET or other relevant languages. - Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, OpenAI APIs, etc.). - Experience with databases (MongoDB, PostgreSQL, MySQL, NoSQL, or distributed databases). - Strong knowledge of cloud platforms (AWS, Azure, GCP) and cloud services (Lambda, S3, EC2, DynamoDB, Firebase, etc.). - Experience with DevOps tools (Docker, Kubernetes, Terraform, Ansible, CI/CD pipelines). - Strong understanding of microservices architecture and event-driven systems. - Ability to adapt to multiple projects and technology stacks. Nice To Have - Exposure to Generative AI, LLMs, or NLP-based applications. - Experience with serverless architectures. - Knowledge of vector databases (Pinecone, FAISS, Weaviate) for AI-powered search. - Experience with MLOps and model deployment strategies. - Background in data visualization (Tableau, Power BI, Jasper, D3.js). Why Join Us - Work on cutting-edge projects across web & mobile, AI, Cloud, and DevOps domains. - Be a key contributor in multiple high-impact engagements. - Exposure to a variety of tech stacks, cloud platforms, and AI-driven applications. - Competitive salary, benefits, and career growth opportunities. If you're a versatile developer passionate about full stack development, Data, AI, Cloud, and DevOps, we'd love to hear from you Why being a generalist ensures YOU will always be in demand : In Today's Fast-evolving Tech Landscape, Specialists May Shine In Niche Areas, But Generalist Developers Who Can Cut Across Multiple Tech Stacks Are Invaluable. Here's Why Being a Versatile, Multi-stack Developer Ensures Long-term Job Security And Career Growth - Adaptability to Market Trends : - Tech stacks rise and fall in popularity-what's in demand today might be outdated tomorrow. As a generalist, you're not locked into a single ecosystem; you can pivot to whatever technology is in demand, keeping your skills relevant. - Cross-Project Value : - Businesses often have multiple projects running simultaneously, using different technologies. A generalist can seamlessly switch between stacks, making them a critical asset across multiple engagements. - Bridging the Gaps Between Teams : - Specialists often work in silos (frontend, backend, DevOps, AI, etc.), but generalists bridge the gap, facilitating better collaboration and reducing bottlenecks in development workflows. - More Job Opportunities : - With skills in MERN, Python, AI, DevOps, and Cloud, you're not restricted to a single job role. Whether it's full-stack development, AI/ML integration, or cloud infrastructure, you can apply for diverse roles, ensuring you're never short on opportunities. - Future-Proofing Your Career : - Companies value problem solvers over coders. By working across multiple stacks, you develop a broad problem-solving mindset, making you indispensable in any technical challenge. - Ideal for Startups & High-Growth Companies : - Startups and lean teams love generalists because they do more with fewer resources. If you can build an app, deploy it to the cloud, optimize performance, and integrate AI-all in one role-you become a one-person powerhouse. - Competitive Edge in a Shifting Economy : - Tech layoffs often hit specialists harder when a particular tech stack becomes obsolete. A generalist, however, can quickly transition to a new role or domain, making them resilient even in uncertain times. - Being a lead developer means you're not just a coder-you're a versatile tech problem solver. Whether it's full-stack development, AI, data engineering, or cloud automation, your ability to learn, adapt, and contribute across multiple domains will keep you in demand-always. (ref:hirist.tech)