Senior Software Engineer @ 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
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.