Senior Software Engineer (Pune, India) Position Available In Middlesex, Massachusetts
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Job Description
Palosade is on a mission to help companies protect their operations and customers by advancing the state of AI security.
The ideal candidate is a self-motivated team player and proven leader. As a Lead Developer, youll drive the creation of new software products and enhancements to our existing platform. You thrive in large-scale environments, communicate clearly across teams, and inspire engineering excellence.
LocationIn-person in Pune, IndiaResponsibilitiesInvent, design, and implement scalable, efficient, and reliable solutionsTranslate user stories into rapid prototypes and production-ready featuresestimating effort, iterating with the product team, writing tests, and shepherding code through reviewOwn end-to-end delivery: continuous integration, automated regression testing, and smooth deployments while maintaining and refactoring our existing codebaseCollaborate in a dynamic, iterative environment where innovation and feedback fuel our successEvolve and document our architecture to ensure robustness, performance, and securityPartner with UX/UI designers to shape intuitive workflows and polished interfacesQualifications10+ years of professional software development experience5+ years of full-stack development, with deep fluency in modern JavaScript/TypeScript and at least one backend language (e.g., Python, Java)5+ years building services with frameworks such as Next.js, Node.js, Flask, or Spring3+ years with front-end frameworks like React or Angular3+ years architecting and operating solutions in public clouds (AWS, GCP, or Azure)Strong grasp of OWASP Top 10 and secure coding best practicesBachelors degree in Computer Science or a related disciplineAI/ML ExpertiseHands-on experience building AI/ML-driven applications leveraging large language models (LLMs)Familiarity with foundational model families (e.g., GPT, LLaMA, PaLM) and their deployment considerationsProven skills in data preparation, prompt engineering, fine-tuning, or training custom models on domain-specific dataUnderstanding of MLOps workflows: model versioning, evaluation metrics, monitoring, and continuous improvement recblid zx70tj3e4rvtrhz7vjs7y8cmthz5oz
