Software Engineer, Platfrom Engineering

We are looking for an experienced software engineer to design, build, and maintain scalable platform and infrastructure solutions.
In this role, you will contribute to systems that support the entire software development lifecycle, from build and testing to deployment and operations.
You will play a key role in improving developer productivity, infrastructure reliability, security, and observability across large-scale distributed systems.
Working with cloud technologies, automation, and modern platform engineering tools, you will help streamline workflows and enhance operational efficiency.
You will collaborate closely with engineering, SRE, and security teams to deliver robust, scalable, and secure solutions.
This opportunity offers significant technical ownership and the chance to influence engineering practices across multiple global products and services.
Join a collaborative, fast-paced environment that values innovation, engineering excellence, and continuous improvement.

• At least 6 years of experience developing, operating, and maintaining complex, scalable production systems, including cloud-based platforms and infrastructure.

• Strong computer science fundamentals and in-depth knowledge of a major cloud provider such as AWS, Azure, or Google Cloud Platform (GCP).

• Hands-on experience with containerization and orchestration technologies such as Docker and Kubernetes in production environments.

• Strong proficiency in scripting and automation using languages such as Bash, Go, or Python.

• Extensive experience implementing and managing Infrastructure as Code (IaC), particularly using tools such as Terraform.

• Excellent written communication skills, including the ability to document technical designs and collaborate effectively with stakeholders.

• Strong teamwork, interpersonal, and problem-solving skills, with the ability to adapt to a dynamic engineering environment.

• Passion for improving developer productivity and experience through scalable infrastructure, automation, and platform engineering.

• Pragmatic approach to technical challenges, with an emphasis on selecting appropriate technologies and leveraging existing tools rather than unnecessarily reinventing solutions.

• Preferred qualifications: Experience with distributed systems and microservices architecture; understanding of Service Level Agreements (SLAs) and Service Level Objectives (SLOs); familiarity with monitoring and observability tools such as Datadog, Prometheus, Graphite, Grafana, Kibana, or Elasticsearch; contributions to open-source projects or communities; and production experience with service mesh technologies such as Istio, Kong, or Linkerd.