Senior Software Engineer
@ Weekday AI

Hybrid
₹0
Hybrid
Posted 24 days ago

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XXXXXXXXX XXXXXXXXXXX XXXXXXXX****** @weekday.ai
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Job Details

Overview

This role is for one of Weekday AI's clients. 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.

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 for scalability and performance.
  • Team Leadership: Mentor developers and 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, and more.
  • Collaboration: Work with product, design, and business teams to deliver impactful features.
  • Security & Compliance: Ensure platform security and data protection by enforcing industry best practices.
  • Strategic Growth: Contribute to the technical roadmap with a path toward technology leadership.

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

Minimum 8+ years experience building and scaling SaaS platforms with deep technical expertise in Python, distributed systems, and cloud-native architectures. Proven experience with databases, caching, search systems, and queues at scale is required along with proficiency in AWS services, Docker Swarm, Kubernetes, and CI/CD pipelines. Bonus for exposure to machine learning workflows, GPU inference, or digital asset/media processing. Strong communication and mentoring skills are essential.

Why Join

At Weekday AI, you will directly influence a fast-growing SaaS product's technical roadmap, enjoy clear growth pathways toward CTO-level responsibilities, work with cutting-edge technology, and operate within a remote-first, results-oriented culture. Competitive compensation, performance bonuses, and equity align with leadership progression.

Key skills/competency

  • Python
  • FastAPI
  • Celery
  • MySQL
  • OpenSearch
  • Redis/Valkey
  • React
  • Kubernetes
  • AWS
  • DevOps
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How to Get Hired at Weekday AI

🎯 Tips for Getting Hired

  • Research Weekday AI: Understand their mission, tech stack, and culture.
  • Tailor your resume: Highlight SaaS and cloud experience.
  • Showcase leadership: Detail mentoring and technical ownership skills.
  • Prepare for technical interviews: Review Python and system design.
  • Network with current employees: Gain insights via LinkedIn and Glassdoor.

📝 Interview Preparation Advice

Technical Preparation

Review Python and FastAPI fundamentals.
Study distributed systems, architecture, and scaling.
Practice designing cloud-native systems with AWS.
Brush up on CI/CD, Docker Swarm, and Kubernetes basics.

Behavioral Questions

Describe a time you led a team.
Explain handling technical conflicts effectively.
Share examples of mentoring junior developers.
Discuss managing project deadlines and priorities.

Frequently Asked Questions