Senior Python Software Engineer

Company Description 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. Job Description We are hiring for a major customer in the agricultural industry and looking for a Senior Backend Engineer with strong Python expertise to design, build, and maintain production-grade backend services. In this role, you will work on scalable backend systems, data processing flows, API integrations, and cloud-based architectures, collaborating closely with mobile, DevOps, Product, and other engineering teams. You will be expected to take ownership of backend features and system behavior end to end, with a strong focus on reliability, performance, observability, and maintainability. Responsibilities Design, develop, and maintain production-grade backend services using Python as the primary programming language. Build and integrate REST APIs for internal and external consumers. Work with AWS cloud services, including compute, storage, networking, and common cloud architecture patterns. Develop and maintain data processing flows, including batch, streaming, or near real-time pipelines. Integrate backend services with external systems, third-party APIs, and AI inference services. Design and work with relational and/or NoSQL databases, depending on system requirements. Contribute to event-driven architectures using queues, messaging systems, or similar patterns. Collaborate with DevOps teams on CI/CD pipelines, deployments, versioning, and environment management. Implement and improve logging, monitoring, and observability practices to support production systems. Debug complex production issues across multiple services and identify root causes. Ensure backend systems are scalable, reliable, performant, and maintainable. Collaborate with mobile, Product, DevOps, and other engineering teams to deliver high-quality solutions. Participate in agile ceremonies and contribute to planning, estimation, and technical decision-making. Proactively identify risks, technical dependencies, and opportunities for system improvements. Qualifications Must Have Strong professional experience as a Backend Engineer, with solid experience in Python. Experience building and maintaining production-grade backend services. Good understanding of REST API design, implementation, and integration. Practical experience with AWS cloud services and basic cloud architecture patterns. 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, versioning, and environment management. Experience with logging, monitoring, and observability tools for debugging production systems. Strong problem-solving skills, especially in distributed or multi-service environments. Ability to debug complex issues across services, systems, and integrations. Good communication skills and the ability to collaborate with cross-functional teams. Ownership mindset and accountability for feature quality and system behavior. Attention to performance, reliability, scalability, and long-term maintainability. Ability to understand the wider system impact of technical decisions. 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 Basic understanding of or exposure to Go. Experience with event-driven architectures, queues, messaging systems, or asynchronous processing. Experience integrating with AI inference services or machine learning-related APIs. Experience designing backend systems that handle high-volume or performance-sensitive workloads. Familiarity with infrastructure-as-code, containerization, or orchestration tools. Experience working closely with mobile engineering teams. Experience in systems where reliability, observability, and production support are c