Remote Senior software engineer python Jobs – 132 Open Jobs Today

Data & Backend Engineer
HelixBeat —Remote
- ₹15,00,000 - ₹24,00,000 a year
- Full-time
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- Azure
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W Energy —Remote
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Intelex —Remote
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Avalara —Remote
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WIN Home Inspection —Remote
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Insight Software —Remote
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Staff Software Engineer -ML/AI
Lookout —Remote
- Remote
- Computer Science
- B.Sc
- Master's degree
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Kasmoprav —Remote
- ₹60,000 - ₹80,000 a month
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- Azure
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4d
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3Pillar —Remote
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Techvariable —Remote
- Full-time
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ETL Test Engineer
Appzlogic Mobility Solutions Pvt Ltd —Remote
- Full-time
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7h
Technical Lead,Python
3Pillar —Remote
- Full-time
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Machine Learning Engineer
Expertshub.ai —Remote
- Remote
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Azoca Technologies Pvt Ltd —Remote
- Up to ₹15,00,000 a year
- Full-time
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- Azure
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Python Developer with MCP Model Context Protocol
FuGenTex Solutions Pvt Ltd —Remote
- ₹12,887.43 - ₹65,822.06 a month
- Remote
- AWS
- APIs
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8d
Senior Edge Platform Engineer
Technology Next —Remote
- ₹90,000 - ₹1,00,000 a month
- Full-time
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- Azure
- AWS
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8d
Senior Software Development Manager
CSG —Remote
- Email
- Remote
- Azure
- Oracle
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Data & Backend Engineer

HelixBeat
Remote

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Job details

Full-time
₹15,00,000 - ₹24,00,000 a year
4 hours ago

Benefits

Provident Fund
Work from home

Qualifications

CI/CD
Azure
Cassandra
Kubernetes
DevOps
Spark
NoSQL
Git
MongoDB
Databases
Microservices
SQL
AWS
Docker
PostgreSQL
Distributed systems
Scala
Version control systems
Continuous integration
Back-end development
REST
Django
Software development
APIs
Apache
Kafka
Data warehouse
Python

Full job description

Location: Remote

Experience: 6+ Years

Employment Type: Full-time

Role Overview

We are seeking a highly skilled Senior Data & Backend Engineer with strong expertise in Python (Django), Apache Spark, Apache Airflow, and Apache Camel to design, build, and maintain scalable data pipelines and backend services. You will play a key role in integrating distributed systems, optimizing data workflows, and delivering high-performance, reliable solutions in a fully remote environment.

Key Responsibilities

Design, develop, and maintain backend services using Python and Django
Build scalable data processing pipelines using Apache Spark
Develop and orchestrate workflows using Apache Airflow
Implement integration patterns and routing using Apache Camel
Architect and manage end-to-end data flows across multiple systems
Optimize performance for large-scale data processing and APIs
Collaborate with cross-functional teams (data, DevOps, product, frontend)
Ensure code quality through code reviews, testing, and best practices
Monitor system performance, troubleshoot issues, and ensure high availability
Work with cloud platforms and distributed environments
Document solutions, architecture, and processes

Required Skills & Qualifications

6+ years of professional experience in software development
Strong proficiency in Python and Django framework
Hands-on experience with Apache Spark (PySpark/Scala is a plus)
Solid experience with Apache Airflow for workflow orchestration
Experience with Apache Camel for system integrations and routing
Strong knowledge of REST APIs and microservices architecture
Experience working with large-scale data systems
Familiarity with SQL/NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra)
Understanding of distributed systems and data processing concepts
Experience with Docker, Kubernetes, or containerized environments
Proficiency with version control systems like Git

Preferred Qualifications

Experience with cloud platforms (AWS, Azure, or GCP)
Familiarity with CI/CD pipelines and DevOps practices
Knowledge of Kafka or other streaming platforms
Experience with data lake / data warehouse architectures
Exposure to event-driven architecture

Pay: ₹1,500,000.00 - ₹2,400,000.00 per year

Benefits:

Provident Fund
Work from home

Application Question(s):

What is your notice period?
What is your ctc and ectc?

Experience:

total: 6 years (Preferred)
Python: 5 years (Preferred)
Django: 3 years (Preferred)
Apache: 4 years (Preferred)
Kafka: 4 years (Preferred)
Airflow: 4 years (Preferred)
Spark: 4 years (Preferred)

Work Location: Remote

Quick apply

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