We are looking for a Python Backend Engineer with hands-on experience in distributed systems and event-driven architecture to design, develop, and maintain scalable backend services and data processing workflows.

The ideal candidate will have experience building Python-based microservices, implementing event-driven communication using message brokers, handling asynchronous processing, and developing reliable distributed workflows. Strong programming fundamentals and knowledge of API development, concurrency, SQL databases, and fault-tolerant system design are essential.

The role involves building scalable backend services, processing events asynchronously, managing service-to-service communication, and ensuring the reliability, performance, and resilience of distributed applications.

Title : Python Backend Engineer

Location :Remote Work

Employment Type: Full-time

Exp Range: 2+ years

Key Responsibilities:

- Python Backend Development: Design, develop, and maintain backend applications and REST APIs using Python and frameworks such as FastAPI or Flask.
- Distributed Systems: Build and maintain distributed backend services, handling service communication, concurrent requests, failures, timeouts, retries, and fault tolerance.
- Event-Driven Architecture: Design and implement event-driven workflows using message brokers or event streaming platforms such as Kafka, RabbitMQ, or equivalent technologies.
- Messaging & Event Processing: Develop event producers and consumers, process messages asynchronously, and handle message failures, retries, duplicate events, and delivery guarantees.
- Microservices Development: Build independent backend services and implement reliable service-to-service communication and integration.
- Asynchronous Processing & Task Scheduling: Implement asynchronous operations, background jobs, scheduled tasks, and task queues using asyncio, Celery, or equivalent frameworks.
- Data Ingestion & ETL Pipelines: Develop data processing workflows to extract, transform, validate, and load data while maintaining accuracy and reliability.
- Database Development: Write and optimize SQL queries, manage database interactions, and integrate backend services with PostgreSQL, AlloyDB,



or other SQL databases.
- Redis & Caching: Implement caching and efficient data access strategies to reduce database load and improve application performance.
- Problem Solving & Debugging: Analyze logs, troubleshoot complex backend issues, identify root causes, and optimize application performance.
- Containerization & Cloud Deployment: Use Docker to package backend services and support deployments and troubleshooting in AWS or GCP environments.
- Code Quality & Collaboration: Follow clean coding practices, use Git for version control, participate in code reviews, and write maintainable, testable code.

Mandatory Skills & Qualifications:

- Python Backend Development: 2+ years of hands-on experience developing backend applications and REST APIs using Python, preferably with FastAPI or Flask.
- Distributed Systems: Practical understanding of distributed services, service-to-service communication, fault tolerance, timeouts, retries, and failure handling.
- Event-Driven Architecture: Hands-on experience with event-driven workflows, message producers and consumers, and asynchronous messaging.
- Message Brokers: Experience with Kafka, RabbitMQ, or equivalent messaging technologies. Familiarity with message delivery guarantees, acknowledgments, retries, and dead-letter queues is preferred.
- Microservices: Understanding of independent backend services, REST APIs, and service integration patterns.
- Asynchronous Processing & Concurrency: Knowledge of asyncio, async/await, concurrent execution, and non-blocking I/O.
- Task Scheduling & Background Processing: Experience or working knowledge of background jobs, scheduled tasks, and task queues using Celery or equivalent technologies.
- SQL & Database Integration: Working knowledge of SQL and experience with PostgreSQL, AlloyDB, or another relational database.




- ETL & Data Processing: Exposure to data ingestion, extraction, transformation, validation, or data pipeline development.
- Redis & Caching: Understanding of caching strategies and their impact on backend performance.
- Docker & Cloud Fundamentals: Familiarity with Docker and basic exposure to AWS or GCP environments.
- Problem Solving & Debugging: Solid analytical skills, ability to troubleshoot backend issues, investigate failures, and write clean, maintainable code.

Preferred Qualifications:

- Experience building production-grade distributed applications.
- Understanding of idempotency, eventual consistency, and message ordering.
- Exposure to observability tools, structured logging, metrics, and distributed tracing.
- Familiarity with automated testing and CI/CD pipelines

About Techolution:

Techolution is the world’s leading FEA – Full Enterprise Automation specialist. We are trusted by boards and executive leaders who need AI with real business outcomes. Despite Gen AI, LLMs, and billions in investment, most enterprise AI programs aren't delivering results.

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Our platform has delivered over $900M in AI ROI for our clients in less than a year, all while increasing their AI Adoption by 10x.

Our 3 power moves for ROI from AI:

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2. 100K Challenge: Work on fast-paced AI initiatives where teams build solutions designed to generate 2× ROI within 100 days.

3. GE LEAP: Contribute to enterprise AI transformation through our partnership with Google, helping scale Gemini-driven solutions across organizations.

Visit us @www.techolution.com : To know more about our revolutionary core practices and getting to know in detail about how we enrich the human experience with technology.

📌 Python Backend Developer – Distributed & Event-Driven Systems (India)
🏢 Techolution
📍 India