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[988] Backend Developer

Salary: $700 - $1500 - Location: Remotely - Full-time

Description

  • Self-managing and contributing to the product development activities including both internal projects and joint development projects;
  • Conducting end-to-end analysis that includes data gathering and requirements specification, analysis, and ongoing deliverables;
  • Writing back-end APIs in Go to manage automated data analytics and machine learning pipelines and training systems, and serve machine learning models on top of Kubernetes;
  • Developing and optimising data analysis and transformation Spark applications in Scala/Python;
  • Working with the Product and Data Science teams to brainstorm, design the architecture, evaluate technologies, implement POCs, benchmark and productionise the ideas;
  • Designing and developing high-level SDKs, sample codes in Python/Java on top of auto-generated gRPC APIs of the platform;
  • Building and testing in local/development environment, containerising and deploying applications or services to Kubernetes using Helm charts and GitOps tools;
  • Working with the Sales and Marketing team to understand the requirements and support our clients;
  • Participating in technical content writing. This may be in the form of product documentation, blog articles highlighting new features and use cases, as and when the need arises;
  • Understanding and advocating our long-term vision while working with the management and product teams to define and adapt the same; and
  • Contributing to the evangelization of our product and our culture internally and externally

Requirement

  • Be able to write well-designed, testable, and efficient code, and have extensive experience in writing unit tests and acceptance tests;
  • In-depth knowledge of at least one of the following programming languages: Java, Go, Scala, and Python. The experience of using front-end frameworks such as Angular is very useful;
  • Have a solid knowledge of at least one NoSQL database (such as Mongo) and containerization and orchestration tools (such as Docker and Kubernetes);
  • Have a good understanding of functional and reactive programming paradigms, distributed and parallel processing, microservice architecture and event-driven architecture;
  • Skills in at least one public cloud provider (such as GCP, AWS or Azure);
  • Highly appreciate the basic knowledge of data engineering and machine learning systems;
  • Proven ability to analyze, troubleshoot, and accelerate software implementation;
  • Track record with practical experience in modern software engineering methods (preferably more than 4 years).

How to Apply

Please contact me via skype hahoainhi or email nhiha@jobseeker.vn 

Thank you!

DREAM IT and MAKE IT

My Name

Nhi Hà

My Job

Technical Recruiter

My City

Saigon

Email

nhiha@jobseeker.vn

Skype

hahoainhi

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