Senior Software Engineer at Weekday AI

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Senior Software Engineer at Weekday AI. This role is for one of the Weekday's clients. Min Experience: 8 years. Location: India. JobType: full-time. As a . Senior Software Engineer. , you will take ownership of the core SaaS platform—driving key technical decisions, mentoring developers, and ensuring scalability, performance, and reliability across systems. You will collaborate closely with leadership and cross-functional teams to build high-impact, customer-focused solutions.. Key Responsibilities. . . Technical Ownership:. Lead development and technical direction for the core SaaS platform built on . Python, MySQL, Celery, OpenSearch, Redis. , and a . React-based frontend. . . . Architecture & Design:. Make critical architectural decisions to ensure system scalability, reliability, and high performance. . . Team Leadership:. Mentor and guide developers; implement engineering best practices in coding, testing, CI/CD, and deployment. . . DevOps & Infrastructure:. Oversee infrastructure and deployment pipelines using . AWS, Kubernetes, Docker Swarm, GPU servers for ML inference, Redis/Valkey, and S3/CDN. . . . Collaboration:. Work with product, design, and business teams to deliver impactful features that align with customer needs and company goals. . . Security & Compliance:. Maintain platform security, ensure data protection, and enforce best practices for system reliability. . . Strategic Growth:. Contribute to the technical roadmap and prepare to evolve into a technology leadership role as the company scales. . . Tech Stack. . Backend:. Python, FastAPI, Celery, REST APIs. . Data & Search:. MySQL, OpenSearch, Redis/Valkey. . Frontend:. React, Next.js, Tailwind, Framer Motion, Figma. . Infrastructure:. Docker Swarm, Kubernetes, AWS S3, Cloudflare R2. . ML/AI:. NVIDIA GPUs, Triton Inference Server, custom AI/ML models, MCP, n8n. . Workflows:. Prefect, Celery distributed tasks. . What We’re Looking For. . 8+ years of experience in . software engineering. , preferably building and scaling . SaaS platforms. . . Strong expertise in . Python. , distributed systems, and . cloud-native architectures. . . Proven experience with . databases, caching, search systems, and queues. at scale. . Proficiency with . AWS services, Docker Swarm, Kubernetes. , and . CI/CD pipelines. . . Bonus: Exposure to . machine learning workflows, GPU inference. , or . digital asset/media processing. . . Strong communication and mentoring skills with the ability to lead by example. . Entrepreneurial mindset, passionate about scaling technology and teams in a startup environment. . . Why Join. . . Impact:. Directly influence the technical roadmap of a fast-growing SaaS product. . . Career Growth:. Clear pathway to . CTO-level responsibilities. . . . Cutting-Edge Tech:. Work on AI/ML, distributed systems, and large-scale media workflows. . . Global Exposure:. Build solutions for enterprise clients across industries like e-commerce, media, and events. . . Flexibility:. Remote-first, results-oriented culture. . . Rewards:. Competitive compensation, performance bonuses, and equity aligned with leadership progression. . . Skills:. Python | FastAPI | Celery | REST API | MySQL | OpenSearch | Redis | Valkey | React | Next.js | Tailwind | Framer Motion | Figma | Docker Swarm | Kubernetes | AWS S3 | Cloudflare R2 | Machine Learning | Digital Asset Management | Media Processing | GPU Inference. Company Location: India.