Senior Backend Engineer

HYrEzy Tech Solutions

Bengaluru

Hybride

INR 1 500 000 - 2 600 000

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Il y a 2 jours
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Avantages offerts par ce poste

Competitive compensation
Flexible work culture
Learning budgets
Health benefits

Résumé du poste

HYrEzy Tech Solutions is seeking a Senior Backend Engineer to design, build, and scale high-throughput APIs using FastAPI and Python in a FinTech/Payments context.

You will own HLD/LLD for distributed microservices, integrate AI/LLM features, ensure security compliance, and collaborate with product, data, and DevOps across Bengaluru and Hyderabad in a hybrid model.

Qualifications

  • 2–5 years of backend software engineering experience with Python and asynchronous frameworks (FastAPI/Flask).
  • Experience designing robust HLD/LLD for distributed systems and microservices.
  • Hands-on experience integrating AI/ML models, LLM APIs, or vector search into backend apps.

Responsabilités

  • Own HLD and LLD for scalable backend microservices processing payments.
  • Develop production-grade asynchronous REST APIs with Python/FastAPI.
  • Integrate AI/LLM backends and vector search into payment rails and fraud pipelines.
  • Collaborate with product, data, and DevOps to ship robust features.

Connaissances

Python & FastAPI
HLD & LLD
Distributed Microservices
AI Integration
SQL & DB Optimisation
Caching/Message Queues
RESTful APIs
Cloud & Containers
Testing & CI/CD
FinTech Security

Outils

Docker
Kubernetes
AWS
GCP
Azure
MySQL
PostgreSQL
Redis
RabbitMQ
Kafka

Description du poste

Key Skills & Competencies Required

Python & FastAPI (Asynchronous Programming)

Job Title: Senior Backend Engineer - FastAPI & Python | HLD/LLD & AI Experience (Payments / FinTech / US Multinational)
Location: Bangalore / Hyderabad, India (Hybrid / On-site options)
Employment Type: Full-time
Experience Required: 2–5 Years

About The Opportunity

We are partnering with a prominent US-based payment transaction and financial technology enterprise that is scaling its state-of-the-art engineering hubs in Bangalore and Hyderabad. Our client processes high-volume global payment transactions, powers robust merchant solutions, and is aggressively integrating next-generation artificial intelligence and automated workflows into its core transaction security, fraud detection, and merchant intelligence platforms.
They operate at high velocity—where production-grade reliability, ultra-low latency, and architectural excellence form the backbone of global financial operations.

The Role

As a Senior Backend Engineer (FastAPI & Python), you will design, build, and scale high-throughput REST APIs and distributed microservices that power global payment transactions and intelligent AI-driven workflows.
You will own both High-Level Design (HLD) and Low-Level Design (LLD) for critical backend systems, ensuring fault tolerance, low latency, and strict security compliance. Beyond traditional backend engineering, you will collaborate with AI teams to integrate LLM and RAG services seamlessly into payment rails, fraud detection pipelines, and merchant analytics.

What You’ll Own
  • System Architecture & Design: Own HLD and LLD for scalable, resilient, and high-performance backend microservices processing payment transactions.
  • FastAPI & Python Development: Build production-grade, asynchronous REST APIs and backend services using Python, FastAPI, and modern concurrency frameworks.
  • AI & LLM Integration: Architect backend pipelines that interface with Large Language Models, vector search databases, and automated decision engines.
  • Database & Caching Management: Design efficient schemas, optimize queries, and manage high-throughput relational databases (e.g., MySQL, PostgreSQL, MariaDB) and caching layers (Redis).
  • Code Quality & Scalability: Establish rigorous coding standards, perform thorough code reviews, write comprehensive unit/integration tests, and ensure high system availability.
  • Cross-Functional Collaboration: Partner closely with product managers, frontend teams, data engineers, and DevOps to deliver robust features from conception to production deployment.
What We’re Looking For
  • Experience: 2–5 years of professional backend software engineering experience, with deep expertise in Python and asynchronous frameworks (FastAPI/Flask).
  • Architectural Mastery: Proven track record in designing robust HLD and LLD for distributed systems, microservices, and event-driven architectures.
  • AI Familiarity: Hands‑on experience integrating AI/ML models, LLM APIs, or vector search engines into backend applications.
  • Data & Infrastructure: Strong proficiency with SQL databases, connection pooling, indexing strategies, and cloud infrastructure (AWS/GCP/Azure, Docker, Kubernetes).
  • FinTech / High-Scale Mindset: Understanding of transaction security, PCI‑DSS compliance, API security best practices, and ultra‑low latency requirements.
  • High Agency: A proactive builder who thrives in fast‑paced environments, takes end‑to‑end ownership of systems, and drives engineering excellence.
Why Join?
  • High-Impact FinTech Scale: Build backend infrastructure that directly handles high-volume global payment transactions and merchant operations.
  • Modern Technology Stack: Work with Python, FastAPI, advanced microservices, and applied AI without legacy baggage.
  • Growth & Leadership: Play a pivotal role in shaping engineering standards and scaling technology hubs across Bangalore and Hyderabad.
Key Skills & Competencies Required
  • Python & FastAPI (Asynchronous Programming)
  • High-Level Design (HLD) & Low-Level Design (LLD)
  • Distributed Microservices Architecture
  • AI & LLM Backend Integration
  • Relational Databases & Query Optimization (MySQL/PostgreSQL)
  • Caching & Message Queues (Redis, RabbitMQ/Kafka)
  • RESTful API Design & Documentation
  • Cloud Infrastructure & Containerization (Docker, Kubernetes, AWS)
  • Unit Testing & CI/CD Pipelines
  • FinTech / Payment Domain Security & Scalability

The Perks: Competitive compensation, flexible work culture, continuous learning budgets, and robust health benefits.

Skills: microservices,level design,redis,sql,security,python,postgresql,fintech,databases,fastapi,rest apis,ci/cd,aws,mysql,gcp,azure,docker,integration,infrastructure,kubernetes,kafka

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