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Salary
$52k – $123k per year (Estimated)
Location
In office (Hyderabad)
Seniority
Architect
Employment
Full-Time

Confirmed on the employer's own hiring board on Sep 24, 2026. First seen by Alion on Sep 24, 2026. Weekday scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Weekday is an Indian recruitment company that sources software engineers through referrals from other engineers rather than through job advertisements or agency databases. Its model pays working engineers to vouch for former colleagues they rate, turning informal knowledge about who is genuinely good into a searchable candidate pool that companies can hire from. Based in Bengaluru and backed by Y Combinator, the platform has layered AI screening and outbound sourcing on top of that referral network, and sells to startups and technology companies hiring in the Indian market.

This role is for one of Weekday’s clients

Salary range: Rs 4000000 - Rs 7500000 (ie INR 40 - 75 LPA)

Min Experience: 10+ years

Location: Hyderabad

JobType: full-time

We are looking for a Software Architect who is a self-starter and thrives on designing and delivering high-quality, scalable solutions. This role requires the ability to make sound architectural decisions across APIs, data pipelines, cloud infrastructure, AI services, and client applications. The ideal candidate combines deep Python expertise with enough frontend knowledge to guide Flutter development, influence frontend architecture, and operate effectively across the stack.

Requirements

Key Responsibilities

  • Own the architecture of backend services and their integration with mobile and web applications.
  • Lead technical design reviews and drive architectural decisions across backend, frontend, and infrastructure.
  • Design scalable, resilient, cloud-native systems supporting AI-driven coaching experiences.
  • Implement robust database session management with a focus on high concurrency and thread safety (SQLAlchemy or equivalent).
  • Apply dependency injection patterns to create testable and maintainable code.
  • Break down complex requirements into independent, manageable tasks and deliver them incrementally.
  • Collaborate with frontend developers, data scientists, and DevOps engineers to integrate backend services with web/mobile apps, AI models, and cloud infrastructure.
  • Optimize backend services for performance and scalability, identify bottlenecks, and implement solutions.
  • Provide technical leadership and mentorship to engineers across disciplines.
  • Design and optimize database schemas for performance and data integrity in PostgreSQL or MySQL.
  • Containerize backend services using Docker and orchestrate deployments with Kubernetes.
  • Leverage cloud platforms such as Google Cloud Platform (GCP) to deploy and scale services.
  • Document APIs using OpenAPI/Swagger for internal and external consumption.

Qualifications

  • Master’s degree in Computer Science, Software Engineering, or related field.
  • 10+ years of software engineering experience with at least 5 years of experience designing production-scale systems.
  • Ability to evaluate architectural trade-offs involving scalability, reliability, maintainability, and cost.
  • Excellent communication, leadership, and mentoring skills and ability to collaborate effectively with cross-functional teams.
  • Extensive experience with Python backend development using Flask or FastAPI.
  • Strong expertise with SQLAlchemy or equivalent ORM for robust session management and high-concurrency, thread-safe applications.
  • Practical experience with dependency injection and modular code design.
  • Ability to break down complex requirements into smaller, independent deliverables.
  • Proficiency in designing scalable database schemas and optimizing queries for performance.
  • Experience with containerization (Docker) and orchestration (Kubernetes) in production environments.
  • Hands-on experience with cloud platforms (preferably GCP) and cloud-native technologies.
  • Familiarity with data processing libraries (Pandas, NumPy) for analytics or ML tasks is a plus.
  • Excellent problem-solving skills, attention to detail, and ability to work independently with minimal

Must-have skills

Python, GCP, Architect

Good-to-have skills

SQL, Alchemy, fastapi, Flask

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