Software Engineer

Saatvik Agro

Role Description

Saatvik Agro is seeking a Python - Software Engineer for a full-time, on-site opportunity in Morena, Madhya Pradesh, India. This role is suitable for fresh graduates and experienced technology professionals.

The Python - Software Engineer will collaborate with various business teams to develop, test, integrate, maintain, troubleshoot, and improve Python-based applications, backend services, APIs, databases, automation solutions, data-processing workflows, internal platforms, and enterprise systems.

Key Responsibilities

• Develop, test, integrate, maintain, troubleshoot, and improve Python-based applications.
• Develop, test, integrate, maintain, troubleshoot, and improve backend services.
• Develop, test, integrate, maintain, troubleshoot, and improve REST APIs.
• Develop, test, integrate, maintain, troubleshoot, and improve databases.
• Develop, test, integrate, maintain, troubleshoot, and improve automation solutions.
• Develop, test, integrate, maintain, troubleshoot, and improve data-processing workflows.
• Develop, test, integrate, maintain, troubleshoot, and improve internal platforms.
• Develop, test, integrate, maintain, troubleshoot, and improve enterprise systems.

Requirements & Tech Stack

• Python programming
• Object-oriented programming
• Data structures
• Algorithms
• Functions, classes, modules, packages
• Exception handling
• Debugging
• Clean coding practices
• REST APIs
• JSON
• HTTP/HTTPS
• Web services
• API integration
• System integration
• SQL
• NoSQL databases
• Pandas
• NumPy
• Requests
• SQLAlchemy
• Pydantic
• Automation scripts
• Workflow automation
• ETL/ELT
• Data processing
• Data pipelines
• Git
• Version control
• Branching
• Pull requests
• Code reviews
• Collaborative software-development workflows
• Linux
• Command-line tools
• Virtual environments
• Dependency management
• Application deployment
• Logging
• Monitoring
• Production-support concepts
• Microservices
• Redis
• Celery
• Kafka
• RabbitMQ
• Caching
• Message queues
• Asynchronous processing
• Background jobs
• Event-driven architecture
• OAuth
• JWT
• Role-based access control
• Secure coding
• Input validation
• API security
• Encryption
• Authentication
• Authorization
• Cloud-native applications
• Serverless computing
• Agile
• Scrum
• Jira
• SDLC
• Technical documentation
• Requirements gathering
• User stories
• Sprint planning
• Issue tracking

Qualifications

• B.E. / B.Tech / B.Sc. / BCA / MCA / M.Sc. / M.Tech in Computer Science, Information Technology, Software Engineering, Computer Applications, Data Science, Artificial Intelligence, Mathematics, Statistics, or a related discipline.
• Freshers and experienced candidates are encouraged to apply.
• Candidates with 0–5 years of experience in Python development, software engineering, backend development, application development, API development, automation, data engineering, or related technology roles.
• Good analytical, logical, debugging, troubleshooting, and problem-solving skills.
• Good communication, documentation, collaboration, and teamwork abilities.
• Ability to understand business and technical requirements and translate them into practical, reliable, scalable, maintainable, and secure Python software solutions.
• Willingness to work on-site.
• Strong willingness to learn new Python frameworks, APIs, databases, cloud platforms, automation tools, testing frameworks, and modern software-engineering practices.

Beneficial Skills & Exposure

• Django, Flask, FastAPI, or similar Python backend frameworks.
• SQL databases (MySQL, PostgreSQL, SQL Server, Oracle, SQLite).
• NoSQL databases (MongoDB, Redis).
• Database design, normalization, joins, indexing, transactions, schemas, CRUD operations, queries, and data-access concepts.
• Pandas, NumPy, Requests, SQLAlchemy, Pydantic.
• Automation scripts, workflow automation, reporting automation, scheduled jobs, web scraping, file processing, or business-process automation.
• ETL/ELT, data processing, data pipelines, data transformation, data validation, or data-engineering concepts.
• GitHub, version control, branching, pull requests, code reviews, debugging, and collaborative software-development workflows.
• PyTest, unittest, Postman, unit testing, integration testing, API testing, or automated testing.
• AWS, Microsoft Azure, Google Cloud, Docker, Kubernetes, Jenkins, GitHub Actions, CI/CD, or similar cloud and DevOps technologies.
• Microservices, Redis, Celery, Kafka, RabbitMQ, caching, message queues, asynchronous processing, background jobs, or event-driven architecture.
• OAuth, JWT, role-based access control, secure coding, input validation, API security, encryption, authentication, and authorization concepts.
• Cloud-native applications, serverless computing, AWS Lambda, Azure Functions, Google Cloud Functions, or similar technologies.
• Machine learning, artificial intelligence, generative AI, data science, NLP, computer vision, or predictive analytics.
• Excel, Power BI, Tableau, dashboards, analytics, reporting systems, ERP, CRM, or enterprise applications.
• Frontend technologies such as HTML5, CSS3, JavaScript, TypeScript, React, Angular, or Vue.js.
• Agile, Scrum, Jira, SDLC, technical documentation, requirements gathering, user stories, sprint planning, or issue tracking.

Considered Experience

• Internship, academic project, Python project, backend project, API project, automation project, data project, web application, GitHub project, hackathon, freelance assignment, startup project, or open-source contribution.
• Candidates without previous full-time Python-development experience can also apply.