Backend Engineer - IoT Platform & Cloud APIs

Enersys

Gambellara

On-site

EUR 55,000 - 75,000

Full time

3 days ago
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Job summary

EnerSys is seeking a Backend Engineer to join our Engineering team and contribute to the design, development, and evolution of our IoT platform. You will focus on backend services, APIs, data processing, integrations, and cloud-native architecture while collaborating with international stakeholders and engineering teams.

The role requires strong backend engineering experience, solid software design skills, and the ability to work independently in a distributed environment.

Qualifications

  • Strong professional experience as a Backend Engineer, Software Engineer, or similar role.
  • Solid experience designing and implementing backend services and REST APIs.
  • Good understanding of distributed systems, microservices, and cloud-native architectures.
  • Experience with relational and/or time-series databases.

Responsibilities

  • Design, develop, test, and maintain backend services for a cloud-based IoT platform.
  • Build reliable, scalable, and secure APIs used by Web/mobile apps, devices, and external systems.
  • Contribute to the architecture of backend components, microservices, data flows, and integrations.
  • Work on features related to device management, telemetry ingestion, user management, notifications, reporting, firmware updates, and system integrations.

Skills

Backend engineering
REST APIs
Distributed systems
Cloud-native
CI/CD
Agile
English fluency

Tools

Kubernetes
Docker
Terraform
GitOps tools
Microsoft Azure

Job description

EnerSys is seeking a Backend Engineer to join our Engineering team and contribute to the design, development, and evolution of our IoT platform. You will focus on backend services, APIs, data processing, integrations, and cloud-native architecture while collaborating with international stakeholders and engineering teams.

The role requires strong backend engineering experience, solid software design skills, and the ability to work independently in a distributed environment.

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