Associate Software Engineer, Python
Saatvik Agro
About the Role
Saatvik Agro is seeking an Associate Software Engineer - Python for a full-time, on-site opportunity in Morena, Madhya Pradesh, India. This 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.
Key Responsibilities
- Work closely with software, IT, data, analytics, operations, production, supply chain, finance, sales, and other business teams.
- Develop, test, integrate, maintain, troubleshoot, and improve Python-based applications, backend services, APIs, databases, automation solutions, data-processing workflows, internal platforms, and enterprise systems.
Requirements & Tech Stack
- Python programming
- Object-oriented programming, data structures, algorithms, functions, classes, modules, packages, exception handling, debugging, and clean coding practices.
- Django, Flask, FastAPI, or similar Python backend frameworks (beneficial)
- REST APIs, JSON, HTTP/HTTPS, web services, authentication, authorization, API integration, and system integration.
- SQL, MySQL, PostgreSQL, SQL Server, Oracle, SQLite, MongoDB, Redis, or similar relational and NoSQL databases (familiarity beneficial)
- Database design, joins, normalization, indexing, transactions, schemas, CRUD operations, queries, and data-access concepts (advantageous)
- Pandas, NumPy, Requests, SQLAlchemy, Pydantic, or similar Python libraries (beneficial)
- Automation scripts, workflow automation, reporting automation, scheduled jobs, file processing, web scraping, or business-process automation (exposure advantageous)
- ETL/ELT, data processing, data pipelines, data transformation, validation, or data-engineering concepts (exposure considered an advantage)
- Git, GitHub, version control, branching, pull requests, debugging, code reviews, and collaborative software-development workflows.
- PyTest, unittest, Postman, unit testing, integration testing, API testing, or automated testing (exposure beneficial but not mandatory)
- AWS, Microsoft Azure, Google Cloud, Docker, Kubernetes, Jenkins, GitHub Actions, CI/CD, or similar cloud and DevOps technologies (exposure considered an advantage)
- Linux, command-line tools, virtual environments, dependency management, application deployment, logging, monitoring, and production-support concepts (basic understanding beneficial)
- Microservices, Redis, Celery, Kafka, RabbitMQ, caching, message queues, asynchronous processing, background jobs, or event-driven architecture (exposure advantageous but not mandatory)
- OAuth, JWT, role-based access control, secure coding, input validation, API security, encryption, authentication, and authorization concepts (familiarity beneficial)
- Cloud-native applications, serverless computing, AWS Lambda, Azure Functions, Google Cloud Functions, or similar technologies (exposure considered an advantage)
- Machine learning, artificial intelligence, generative AI, data science, NLP, computer vision, or predictive analytics (exposure beneficial but not mandatory)
- Excel, Power BI, Tableau, dashboards, analytics, reporting systems, ERP, CRM, or enterprise applications (familiarity considered an additional advantage)
- Frontend technologies such as HTML5, CSS3, JavaScript, TypeScript, React, Angular, or Vue.js (familiarity beneficial but not mandatory)
- Agile, Scrum, Jira, SDLC, technical documentation, requirements gathering, user stories, sprint planning, or issue tracking (familiarity advantageous but not mandatory)
- 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 (considered but not mandatory)
- Strong willingness to learn new Python frameworks, APIs, databases, cloud platforms, automation tools, testing frameworks, and modern software-engineering practices.
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, Associate Software Engineer Python, Junior Python Software Engineer, Software Engineer - Python, Software Engineer Python, Python Software Engineer, Python Software Developer, Python Developer, Python Backend Developer, Backend Engineer Python, 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.
- 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.
- Candidates without previous full-time Python-development experience can apply.


