Senior Platform Engineer – Cloud & Microservices

the-swift-group

Herndon (VA)

On-site

USD 140,000 - 180,000

Full time

14 days+
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Job summary

Swift is seeking a highly experienced platform Software Engineer to build, scale, and maintain a mission critical data science platform. You will design backend services, APIs, and microservices in a Linux environment, focusing on performance, reliability, and security.

Collaboration with data engineers and platform teams is essential to support data science, analytics, and AI/ML workloads. The ideal candidate has 10+ years of hands-on backend and platform experience, with cloud-native

Qualifications

  • BS in Computer Science or equivalent.
  • 10+ years building and operating software or platform systems.
  • Strong proficiency in Java, Python, SQL databases and AWS.
  • Experience with microservices and distributed system design.
  • Cloud deployment and containerized environments a must.
  • Active TS/SCI with Polygraph security clearance required.

Responsibilities

  • Design, build, and maintain backend services, APIs, and microservices in a Linux-based environment.
  • Contribute to architecture of large-scale distributed systems with focus on performance and security.
  • Develop and deploy services in cloud environments.
  • Work with relational databases to support high-volume applications.
  • Containerize services and optimize runtime across the platform.
  • Troubleshoot production issues and enhance system monitoring and reliability.

Skills

Java
Ansible
Python
Postgres
MySQL
MariaDB
Linux
AWS
RESTful APIs
Distributed systems
Microservices
Git (GitLab/GitHub)
Security
SQL databases

Education

Bachelor's in Computer Science

Tools

GitLab
GitHub

Job description

Swift is seeking a highly experienced platform Software Engineer to build, scale, and maintain a mission critical data science platform. You will design backend services, APIs, and microservices in a Linux environment, focusing on performance, reliability, and security.

Collaboration with data engineers and platform teams is essential to support data science, analytics, and AI/ML workloads. The ideal candidate has 10+ years of hands-on backend and platform experience, with cloud-native

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