careertakescareertakes

Software Engineer - Cloud Computing

Confidential Clientunspecified
Entry LevelFull-timeHybridN/A
United States
3 Days Ago

The Software Engineer - Cloud Computing at Confidential Client is responsible for designing and implementing automated test suites for complex microservice-based systems, leveraging AI-driven automation to ensure platform quality and reliability. This role involves close collaboration with development and operations teams to enhance testing infrastructure and support continuous integration and delivery within a hybrid work environment, contributing to innovative projects in the online sports betting industry.

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Description

About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Technology, Information and Media.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.


Position overview

Confidential Client is hiring a Software Engineer — Cloud Computing focused on test automation for cloud-native, microservice-based systems. This full-time role supports a platform migration using modern technologies (Go, React, Google Cloud Platform) and sits on cross-functional teams that include software development and operations engineering. The position is eligible for a hybrid working policy.

Annual salary range: $100,000 — $135,000 (USD)


What You’ll Do

You will be part of a full-stack delivery team responsible for designing, building, and maintaining automated test suites and test infrastructure that ensure platform reliability and performance at scale.

  • Design, develop, and maintain end-to-end and integration automated tests for microservice and publish-subscribe architectures
  • Automate manual test cases to increase coverage and speed of delivery
  • Integrate test suites into CI/CD pipelines and report test status and metrics
  • Collaborate with developers and Operations Engineering to improve testability, observability, and deployment workflows
  • Apply testing best practices (unit, integration, end-to-end — testing pyramid) and participate in code reviews
  • Mentor junior engineers on test design and automation techniques
  • Explore and evaluate new tools, including AI-assisted testing solutions, to improve QA productivity and reliability

Required Qualifications

  • Experience designing and implementing automated test suites for microservice-based systems and publish-subscribe architectures
  • Practical experience applying AI tools or automation frameworks to accelerate testing workflows
  • Proficiency in one or more of: C#, JavaScript/TypeScript, Python, or Golang
  • Hands-on experience with CI/CD pipelines and integrating automated tests into them
  • Familiarity with containerization and orchestration (Docker, Kubernetes)
  • Knowledge of cloud platforms and environment tooling (Google Cloud, AWS, or Azure)
  • Strong problem-solving skills and attention to detail
  • Effective verbal and written communication; ability to work cross-functionally
  • Experience mentoring other engineers and promoting testability best practices

Nice-to-Have

  • Prior experience in high-throughput or low-latency production environments
  • Experience working on platform migrations or re-architectures
  • Familiarity with observability tools and performance testing at scale

Employment details & benefits

  • Employment type: Full-time
  • Seniority level: Associate
  • Work model: Hybrid (policy eligible)
  • Industries: Technology, Information and Media

Benefits include competitive salary within the listed range, health insurance, retirement plans, wellness programs, flexible working arrangements, and opportunities for ongoing learning and professional development.


Why join

This role is a chance to impact a large-scale, production-critical platform and accelerate your career in cloud engineering and quality automation. You’ll work with modern stacks (Go, React, GCP), collaborate with experienced engineers, and help scale testing practices using AI-enabled automation.


Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.

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