Python Software Engineer
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Job Description
Python Backend Engineer building production services, APIs, data pipelines, and AWS solutions for Accesa’s agricultural-industry client. Supporting Flutter mobile features up to 20% of the time.
Responsibilities:
- Develop and maintain production-grade backend services using Python
- Implement and integrate REST APIs for internal and external consumers
- Work with AWS cloud services, including compute, storage, and common cloud patterns
- Contribute to batch, streaming, and near real-time data processing flows
- Integrate backend services with external systems, third-party APIs, and AI inference services
- Work with relational and/or NoSQL databases
- Contribute to Flutter mobile application features up to approximately 20% of the time
- Use CI/CD pipelines for deployments, versioning, and environment management
- Apply logging, monitoring, and observability practices to support production systems
- Debug and resolve production issues, collaborating with senior engineers on complex cross-service problems
- Write clean, maintainable, and well-tested code focused on performance and reliability
- Collaborate with mobile, Product, DevOps, and other engineering teams
- Participate in agile ceremonies, planning, and estimation
- Flag risks, blockers, and technical dependencies early
Requirements:
- Professional experience as a Backend Engineer with solid hands-on Python experience
- Experience contributing to production-grade backend services
- Good understanding of REST API implementation and integration
- Practical Flutter and mobile app development experience, with willingness to contribute to mobile features part-time (~20%)
- Practical experience with AWS cloud services
- Experience with relational and/or NoSQL databases
- Understanding of 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
- Good problem-solving and debugging skills
- Good communication and cross-functional collaboration skills
- Accountability for delivered feature quality 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 and automate or reduce repetitive work
- Ability to use AI tools responsibly, validate outputs, understand limitations, and own final results
- Nice to have: event-driven architectures, queues, messaging systems, or asynchronous processing
- Nice to have: AI inference services or machine learning-related APIs
- Nice to have: mobile app publishing and iOS/Android release processes
- Nice to have: infrastructure-as-code, containerization, or orchestration tools
- Nice to have: basic Go knowledge or exposure
- Nice to have: experience in reliability, observability, and production-support systems
Benefits:
- Medical benefits
- Gym support
- Personalised fitness options
- Team events
- Healthy Habits Club
- Flexible work-life dynamic
- Mental wellbeing support
- Social wellbeing initiatives
- Hybrid-environment community activities
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