Develop and maintain production-grade backend services using Python as the primary 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.

Ключевые требования

Develop and maintain production-grade backend services using Python as the primary 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.

Вакансии в Accesa

Открытые роли в этой компании — 5 в каталоге JobMatcher.

Все вакансии компании

Вакансии в Accesa

Открытые роли в этой компании — 5 в каталоге JobMatcher.

Все вакансии компании

About the role

Accesa is hiring a Mid-level Backend Engineer with strong Python experience to build and maintain production-grade backend services for a major customer in the agricultural industry. In this role you will develop backend systems, data processing pipelines, API integrations, and cloud-based services, collaborating closely with mobile, DevOps, Product, and other engineering teams. Occasional contributions to the customer's Flutter mobile application are expected (up to ~20%). You will deliver reliable, high-quality features with a focus on performance, observability, and ownership of backend functionality as you grow within the project.

Responsibilities

Develop and maintain production-grade backend services using Python as the primary 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%), 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,

About the role

Accesa is hiring a Mid-level Backend Engineer with strong Python experience to build and maintain production-grade backend services for a major customer in the agricultural industry. In this role you will develop backend systems, data processing pipelines, API integrations, and cloud-based services, collaborating closely with mobile, DevOps, Product, and other engineering teams. Occasional contributions to the customer's Flutter mobile application are expected (up to ~20%). You will deliver reliable, high-quality features with a focus on performance, observability, and ownership of backend functionality as you grow within the project.

Responsibilities

Develop and maintain production-grade backend services using Python as the primary 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%), 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,

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Based on: Python Software Engineer