Python Software Engineer

Company Description

Accesa is a leading technology company headquartered in Cluj-Napoca, with offices in Oradea and 20 years of experience in turning business challenges into opportunities and growth.

A value-driven organisation, it has established itself as a partner of choice for major brands in Retail, Manufacturing, Finance, and Banking. It covers the complete digital evolution journey of its customers, from ideation and requirements setup to software development and managed services solutions.

With more than 1,200 IT professionals, Accesa also has a fast-growing footprint, establishing itself as an employer of choice for IT professionals who are passionate about problem-solving through technology. Coming together in strong tech teams with a customer-centric approach, they enable businesses to grow, delivering value for our clients, partners, industry, and community.

We are hiring for a major customer in the agricultural industry and looking for a Mid-level Backend Engineer with solid Python experience to build and maintain production-grade backend services. In this role, you will work on backend systems, data processing flows, API integrations, and cloud-based services, collaborating closely with mobile, DevOps, Product, and other engineering teams. The role also involves occasional contributions to the customer's Flutter mobile application (up to approximately 20% of the time), so hands-on Flutter experience is required.

You will be expected to deliver reliable, well-maintained features with a focus on quality, performance, and observability, taking increasing ownership of backend functionality as you grow within the project.

Nice to Have

As a people-first organisation, we believe diversity strengthens our teams and drives innovation. All employment decisions are based on merit, skills, and performance, without discriminating based on any personal characteristic. This reinforces our commitment to providing an inclusive and respectful workplace.

Responsibilities

Develop and maintain production-grade backend services using Python as the primary programming language.; Implement and integrate REST APIs for internal and external consumers.; Work with AWS cloud services, including compute, storage, and common cloud patterns, following established architecture guidelines.; Contribute to data processing flows, including batch, streaming, or near real-time pipelines.; Integrate backend services with external systems, third-party APIs, and AI inference services.; Work with relational and/or NoSQL databases, depending on system requirements.; Contribute to features in the Flutter mobile application when needed (up to ~20% of the time), collaborating with the mobile team.; Use CI/CD pipelines for deployments, versioning, and environment management, in collaboration with DevOps teams.; Apply logging, monitoring, and observability practices to support production systems.; Debug and resolve production issues, escalating and collaborating with senior engineers on complex cross-service problems.; Write clean, maintainable, and well-tested code, with attention to performance and reliability.; Collaborate with mobile, Product, DevOps, and other engineering teams to deliver high-quality solutions.; Participate in agile ceremonies and contribute to planning and estimation.; Flag risks, blockers, and technical dependencies early.

Requirements

Professional experience as a Backend Engineer, with solid hands-on experience in Python.; Experience contributing to production-grade backend services.; Good understanding of REST API implementation and integration.; Practical experience with Flutter and mobile app development, with the willingness to contribute to mobile features on a part-time basis (~20%).; Practical experience with AWS cloud services.; Experience working with relational and/or NoSQL databases.; Understanding of data processing concepts, such as incoming data streams, batch processing, or near real-time flows.; Familiarity with CI/CD pipelines, deployment processes, and versioning.; Familiarity with logging, monitoring, and observability tools for debugging production systems.; Good problem-solving and debugging skills.; Good communication skills and the ability to collaborate with cross-functional teams.; Accountability for the quality of delivered features and openness to feedback.; Attention to code quality, performance, and maintainability.; Comfortable working in agile teams and adapting to changing priorities.; Regular use of AI tools to improve productivity, automate or reduce repetitive work, support decision-making, and deliver higher-quality outcomes.; Ability to use AI tools responsibly by structuring effective prompts, critically validating outputs, understanding limitations, and taking ownership of the final result.

Nice to have

Experience with event-driven architectures, queues, messaging systems, or asynchronous processing.; Experience integrating with AI inference services or machine learning-related APIs.; Experience publishing or maintaining mobile apps (iOS/Android release processes).; Familiarity with infrastructure-as-code, containerization, or orchestration tools.; Basic understanding of or exposure to Go.; Experience in systems where reliability, observability, and production support are important.