Senior Developer

This role is for one of the Weekday's clients

Salary range: Rs 5000000 - Rs 8000000 (ie INR 50-80 LPA)

Min Experience: 8 years

Location: Remote (India)

JobType: full-time

We are seeking a highly skilled Senior Developer who can take strong technical ownership while contributing to long-term architectural direction and team growth. You will begin in a hands-on capacity—building backend systems, optimizing performance, and shaping core platform decisions—while gradually moving into a leadership role with broader responsibilities.

This role is ideal for an ambitious engineer ready to scale into a senior technical leader over time.

Requirements

• Lead development of core backend systems, APIs, and performance-critical components
• Own technical architecture and contribute to the evolution of the platform's technology roadmap
• Build and deploy ML models at scale, ensuring efficient and reliable inference workflows
• Make critical architectural decisions around scalability, performance, infrastructure, and security
• Mentor and guide a small engineering team; promote best practices across coding, testing, and DevOps
• Manage infrastructure and DevOps workflows (AWS, Docker, CI/CD, GPUs for ML, GitHub workflows)
• Collaborate closely with product, sales, and customer teams to deliver high-value features
• Drive automation, process improvements, and technical excellence across the engineering org

Backend: Python, FastAPI, Celery, REST APIs
Data/Search: MySQL, OpenSearch, Redis/Valkey
Frontend: React, Next.js, Tailwind, Framer Motion, Figma
Infrastructure: AWS, Docker Swarm, S3, Cloudflare R2, n8n
ML/AI: NVIDIA GPUs, Triton Inference Server, custom models
Workflows: Celery distributed task system

• 8+ years of hands-on software engineering experience, ideally with SaaS products
• Expert-level proficiency in Python, distributed systems, and cloud-native architecture
• Strong experience with databases, caching layers, messaging queues, and search technologies
• Comfortable working with AWS, containerized environments (Docker/Kubernetes), and CI/CD pipelines
• Background in ML pipelines or GPU-based inference environments
• Experience with large-scale image/video processing is an added advantage

• Strong communication, ownership mindset, and problem-solving ability
• Thrives in fast-paced, startup-like environments with ambiguous requirements
• Experience mentoring developers and making high-impact technical decisions
• Business-aware: focuses on outcomes and value, not just implementation
• Aspires to take on broader technical leadership responsibilities over time

• 3 Months: Fully owns key modules; delivers improvements in performance and reliability
• 6–9 Months: Independently leads feature deliveries and product releases
• 12–18 Months: Manages technical direction, engineering operations, and major customer deployments