Python Software Engineer

Company Description
Saatvik Agro is the agro-ingredient unit of the Saatvik Group, specializing in high-quality maize-based ingredients used in food, nutrition, animal feed, and industrial applications. The organization focuses on purity and scientific rigor, converting responsibly sourced maize into functional and reliable ingredient solutions. Its products are designed to meet the evolving needs of modern manufacturers who demand consistency, performance, and safety. Guided by the belief that better ingredients create better outcomes, Saatvik Agro aims to support customers in delivering superior products to their markets.
Role Description
We are looking for a Python Software Engineer for a full-time, on-site opportunity based in Morena, Madhya Pradesh, India.
The role is suitable for fresh graduates and technology professionals interested in Python development, software engineering, backend development, application development, REST APIs, databases, automation, data processing, cloud technologies, and modern software-development practices.
The Python Software Engineer will work closely with software, IT, data, analytics, operations, finance, production, supply chain, sales, and other business teams to develop, test, integrate, maintain, troubleshoot, and improve Python-based applications, backend services, APIs, automation tools, data-processing workflows, internal platforms, enterprise applications, and digital systems.
The role may involve working with Python, Django, Flask, FastAPI, REST APIs, SQL and NoSQL databases, Pandas, NumPy, cloud platforms, testing tools, automation frameworks, data pipelines, microservices, and modern Python software-development technologies depending on project and business requirements.
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 strongly encouraged to apply.
Candidates with 0–5 years of experience in Python development, software engineering, backend development, application development, API development, automation, scripting, data engineering, analytics, or related technology roles can apply.
Candidates currently working as Python Software Engineer, Software Engineer Python, Software Engineer (Python), Software Engineer - Python, Python - Software Engineer, (Python) Software Engineer, Python Developer, Python Backend Developer, Backend Engineer Python, Backend Developer Python, Django Developer, Flask Developer, FastAPI Developer, Application Developer, Software Developer, Associate Software Engineer, Graduate Software Engineer, or Junior Software Engineer are encouraged to apply.
Candidates from IT services, SaaS, product companies, technology, consulting, e-commerce, fintech, telecom, analytics, manufacturing, logistics, FMCG, or other industries are welcome.
Basic to good knowledge of Python programming, object-oriented programming, data structures, algorithms, modules, packages, functions, exception handling, debugging, and clean coding practices.
Familiarity with Django, Flask, FastAPI, or similar Python web and backend frameworks will be beneficial.
Basic to good understanding of REST APIs, JSON, HTTP/HTTPS, web services, authentication, authorization, API integration, and system integration.
Familiarity with SQL, MySQL, PostgreSQL, SQL Server, Oracle, SQLite, MongoDB, Redis, or similar databases will be beneficial.
Understanding of database design, joins, indexing, transactions, schemas, queries, CRUD operations, and data-access concepts will be advantageous.
Familiarity with Pandas, NumPy, Requests, SQLAlchemy, Pydantic, or similar Python libraries will be beneficial.
Exposure to automation, workflow automation, reporting automation, scheduling, scripting, file processing, or process optimization will be considered an advantage.
Exposure to ETL/ELT, data pipelines, data ingestion, transformation, validation, data processing, or data engineering will be beneficial but is not mandatory.
Familiarity with Git, GitHub, version control, branching, pull requests, code reviews, and collaborative software-development workflows.
Exposure to PyTest, unittest, Postman, API testing, unit testing, integration testing, or automated testing tools will be beneficial.
Exposure to AWS, Microsoft Azure, Google Cloud, Docker, Kubernetes, CI/CD, Jenkins, GitHub Actions, or similar cloud and DevOps technologies will be considered an advantage.
Basic understanding of Linux, command-line tools, virtual environments, dependency management, application deployment, configuration management, logging, monitoring, and production-support concepts will be beneficial.
Exposure to microservices, Redis, Celery, Kafka, RabbitMQ, background jobs, asynchronous processing, caching, or event-driven systems will be advantageous.
Familiarity with OAuth, JWT, role-based access control, API security, secure coding, input validation, encryption, and application-security concepts will be beneficial.
Exposure to cloud functions, serverless computing, containerized applications, scalable backend services, or distributed systems will be advantageous.
Exposure to machine learning, artificial intelligence, data science, generative AI, LLMs, predictive analytics, or related technologies will be considered an additional advantage but is not mandatory.
Familiarity with Excel, Power BI, Tableau, dashboards, reporting tools, or business analytics will be beneficial.
Exposure to HTML, CSS, JavaScript, React, Angular, or other frontend technologies will be considered an additional advantage but is not mandatory.
Familiarity with Agile, Scrum, Jira, SDLC, technical documentation, requirements gathering, sprint planning, or issue tracking will be advantageous but is not mandatory.
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-based software solutions.
Willingness to work in an on-site environment.
Internship, academic project, Python project, Django project, Flask project, FastAPI project, backend project, API project, automation project, data project, GitHub project, hackathon, freelance assignment, startup project, or open-source contribution will be considered but is not mandatory.
Candidates without previous full-time Python-development experience can also apply.
Strong willingness to learn new Python frameworks, databases, APIs, cloud platforms, automation technologies, data tools, and modern software-engineering practices.
Job Location: Morena, Madhya Pradesh
Employment Type: Full-time, On-site
Experience: Freshers & 0–5 Years

Work arrangement
No