Associate Software Engineer Python

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 an Associate Software Engineer Python for a full-time, on-site opportunity based in Morena, Madhya Pradesh, India. The role is designed for fresh graduates and early-career technology professionals interested in Python software development, backend engineering, application development, REST APIs, databases, automation, data processing, cloud technologies, enterprise applications, and modern software-engineering practices. The Associate Software Engineer Python will work closely with software, IT, data, analytics, operations, production, supply chain, finance, sales, and other 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. The role may involve working with Python, Django, Flask, FastAPI, REST APIs, SQL and NoSQL databases, Pandas, NumPy, automation tools, data pipelines, microservices, cloud platforms, testing frameworks, Git, CI/CD, 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.
• Fresh graduates and candidates with up to 2 years of relevant experience are strongly encouraged to apply.
• Final-year students completing their degree and available for full-time employment may also apply.
• Candidates with 0–2 years of experience in Python development, software engineering, backend development, application development, API development, automation, data engineering, or related technology roles can apply.
• Candidates currently working as Associate Software Engineer Python, Associate Python Software Engineer, Junior Python Software Engineer, Python Software Engineer, Software Engineer Python, Python Software Developer, Python Developer, Python Backend Developer, Backend Engineer Python, Associate Software Engineer, Graduate Software Engineer, Junior Software Engineer, or Application Developer 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, functions, classes, modules, packages, exception handling, debugging, and clean coding practices.
• Familiarity with Django, Flask, FastAPI, or similar Python backend frameworks will be beneficial.
• Basic 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 relational and NoSQL databases will be beneficial.
• Understanding of database design, joins, normalization, indexing, transactions, schemas, CRUD operations, queries, and data-access concepts will be advantageous.
• Familiarity with Pandas, NumPy, Requests, SQLAlchemy, Pydantic, or similar Python libraries will be beneficial.
• Exposure to automation scripts, workflow automation, reporting automation, scheduled jobs, file processing, or business-process automation will be advantageous.
• Exposure to ETL/ELT, data processing, data pipelines, data transformation, validation, or data-engineering concepts will be considered an advantage.
• Familiarity with Git, GitHub, version control, branching, pull requests, debugging, code reviews, and collaborative software-development workflows.
• Exposure to PyTest, unittest, Postman, unit testing, integration testing, API testing, or automated testing will be beneficial but is not mandatory.
• Exposure to AWS, Microsoft Azure, Google Cloud, Docker, Kubernetes, Jenkins, GitHub Actions, CI/CD, or similar cloud and DevOps technologies will be considered an advantage.
• Basic understanding of Linux, command-line tools, virtual environments, dependency management, application deployment, logging, monitoring, and production-support concepts will be beneficial.
• Exposure to microservices, Redis, Celery, Kafka, RabbitMQ, caching, message queues, asynchronous processing, background jobs, or event-driven architecture will be advantageous but is not mandatory.
• Familiarity with OAuth, JWT, role-based access control, secure coding, input validation, API security, encryption, authentication, and authorization concepts will be beneficial.
• Exposure to cloud-native applications, serverless computing, AWS Lambda, Azure Functions, Google Cloud Functions, or similar technologies will be considered an advantage.
• Exposure to machine learning, artificial intelligence, generative AI, data science, NLP, computer vision, or predictive analytics will be beneficial but is not mandatory.
• Familiarity with Excel, Power BI, Tableau, dashboards, analytics, reporting systems, ERP, CRM, or enterprise applications will be considered an additional advantage.
• Exposure to frontend technologies such as HTML5, CSS3, JavaScript, TypeScript, React, Angular, or Vue.js will be beneficial but is not mandatory.
• Familiarity with Agile, Scrum, Jira, SDLC, technical documentation, requirements gathering, user stories, 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 contribute to practical, reliable, scalable, maintainable, and secure Python software solutions.
• Willingness to work in an on-site environment.
• 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 will be considered but is not mandatory.
• Candidates without previous full-time Python-development experience can apply.
• Strong willingness to learn new Python frameworks, APIs, databases, cloud platforms, automation tools, testing frameworks, and modern software-engineering practices. Job

Location:
Morena, Madhya Pradesh Employment Type: Full-time, On-site

Experience:
Freshers & 0–2 Years