OpenSearch Control-Plane Engineer - Serverless & Scalable

Amazon Web Services (AWS)

Austin (TX)

On-site

USD 143,700 - 194,400

Full time

14 days+

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Job summary

Amazon Web Services, Inc. in Austin, TX is hiring for a software engineer to design, develop, and operate a large-scale distributed control plane for OpenSearch.

You will tackle capacity provisioning, lifecycle workflows, and multi-tenant infrastructure while collaborating with senior engineers across Java, Rust, Python, and Go. The role emphasizes ownership of end-to-end systems, incident response, and cost-effective maintenance in a serverless/large-cluster environment with a focus on

Qualifications

  • 3+ years of non-internship professional software development experience.
  • 2+ years of design or architecture experience for large-scale systems.
  • 1+ year of software development engineer or related experience.
  • Experience with OO design and multiple programming languages.

Responsibilities

  • Design, develop, and operate components of a large-scale distributed control plane.
  • Look for opportunities to simplify—reduce configuration sprawl and complexity.
  • Own the systems you build end-to-end and participate in incident response and RCAs.
  • Solve problems in cluster orchestration, capacity provisioning, and lifecycle workflows.
  • Write robust, maintainable code in Java, Rust, Python, or Go.

Skills

Software development
Distributed systems
Java
C++
Python
Go

Education

Bachelor's degree in Computer Science, Engineering, Mathematics or related field

Tools

Java
Rust
Python
Go
C++
C#
Perl

Job description

Amazon Web Services, Inc. in Austin, TX is hiring for a software engineer to design, develop, and operate a large-scale distributed control plane for OpenSearch.

You will tackle capacity provisioning, lifecycle workflows, and multi-tenant infrastructure while collaborating with senior engineers across Java, Rust, Python, and Go. The role emphasizes ownership of end-to-end systems, incident response, and cost-effective maintenance in a serverless/large-cluster environment with a focus on

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