Platform Systems Architect

1 day ago

Peshawar City Tehsil, Pakistan beBeeBackend Full time $150,000 - $180,000
Senior Platform Software Engineer Job Description

We are seeking a skilled Senior Platform Software Engineer to join our team.

  • This is an exciting opportunity for an experienced software engineer to take on new challenges and responsibilities.
About the Role:

The successful candidate will have a strong background in backend systems and platform engineering, with experience in DevOps and development.

  • We require a deep understanding of containerization and orchestration (Docker, Kubernetes).
  • Experience with observability tools (Prometheus, Grafana, ELK/EFK) is highly valued.
  • The ideal candidate will also have familiarity with data infrastructure (e.g., Kafka, Spark, Airflow).
  • Proficiency in languages like Go, Python, or Java; experience with infrastructure-as-code (Terraform, Pulumi, etc.) is preferred.
Key Responsibilities:

As a Senior Platform Software Engineer, you will be responsible for driving infrastructure automation, CI/CD, and monitoring/alerting pipelines.

  • You will collaborate with Field Engineering teams to support PoCs, and Platform deployments in customer Cloud VPCs and on-premises environments.
  • Deploy, scale, and optimize ML/NLP workloads, especially model inference.
  • Lead initiatives to improve system reliability, scalability, and developer experience.
  • Contribute to architecture and infrastructure decisions as we scale our platform.
  • Champion best practices in code quality, testing, and DevOps culture across the team.
  • Design, implement, and maintain scalable and secure backend services and platform components.
Requirements:

To succeed in this role, you must have at least 5 years of experience as a software engineer with a focus on backend systems and platform engineering.

  • At least 2 years of experience in DevOps and 2 years in development.
  • Deep experience with all computing environments (GCP, AWS, Onprem, or Azure).
  • Familiarity with data infrastructure (e.g., Kafka, Spark, Airflow).
  • Proficiency in languages like Go, Python, or Java; experience with infrastructure-as-code (Terraform, Pulumi, etc.).
  • Experience working on ML platforms or supporting ML workloads in production.
Benefits:

This is a full-time position with opportunities for growth and professional development.

Other Details:
  • Seniority level: Not Applicable
  • Job function: Engineering and Information Technology
  • Industries: Business Consulting and Services

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