Senior Backend Engineer (Python/FastAPI) at Weekday AI

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

25 Feb, 26

Salary

0.0

Posted On

27 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, FastAPI, SQL, Docker, Kubernetes, GitHub Actions, Airflow, Kafka, Postgres, Redis, Celery, Async Programming, Performance Optimization, Microservice Architectures, Data Modeling, REST APIs

Industry

technology;Information and Internet

Description

This role is for one of the Weekday's clients Location: Bengaluru, Chennai, Hyderabad, Pune JobType: full-time What Success Looks Like (First 3–6 Months): Build and scale high-performance backend services and APIs using Python and FastAPI. Design modular, extensible microservices that integrate seamlessly with distributed systems. Take ownership of performance, scalability, and fault tolerance for services handling millions of time series data points. Optimize data ingestion, transformation, and orchestration pipelines. Collaborate closely with frontend, ML, and infrastructure teams to deliver stable, production-grade services. Contribute to system design discussions, code reviews, and technical decision-making. Tech Stack You’ll Work With: Languages: Python (primary), SQL Frameworks: FastAPI, Flask (secondary), asyncio Infrastructure / Tooling: Docker, Kubernetes, GitHub Actions, Airflow Data / Workflow: Kafka, Postgres, Redis, Celery Testing / CI/CD: Pytest, unit and integration testing frameworks What We’re Looking For: Must-Haves: 4–8 years of experience in backend product engineering. Strong expertise in Python and FastAPI (or similar frameworks). Solid fundamentals in data structures, algorithms, and system design. Proven experience building scalable, production-grade REST APIs. Hands-on experience with Docker, CI/CD pipelines, and microservice architectures. Strong SQL and data modeling skills. Familiarity with async programming and performance optimization. Nice-to-Haves: Exposure to distributed compute frameworks like Spark, Dask, or Ray. Experience with Kubernetes, AWS/GCP, or MLOps-style data pipelines. Prior work in enterprise-scale SaaS or data platforms. Why Join: Build core backend systems powering global enterprise AI platforms. Collaborate in a high-agency environment with top-tier engineering peers. Work in a fast-scaling company solving high-impact technical challenges. Opportunity for end-to-end ownership and growth into system design or tech lead roles.

Responsibilities

The role involves building and scaling high-performance backend services and APIs using Python and FastAPI. The engineer will take ownership of performance, scalability, and fault tolerance for services handling millions of time series data points.