Software Engineer, Cloud Benchmarking - Permanent, 100% Remote

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Job Overview

As a Software Engineer in Cloud Benchmarking at Biblioso, you will be responsible for developing and optimizing benchmarking tools and processes that assess cloud platform performance and efficiency. This role primarily focuses on analyzing cloud service performance metrics, providing actionable insights, and ensuring that our clients can leverage cloud solutions effectively. You will collaborate with cross-functional teams to implement improvements and maintain cloud benchmarking standards that affirm our commitment to quality and performance excellence.

Job Responsibilities

• Design, develop, and enhance cloud benchmarking tools and frameworks.
• Analyze performance data to identify inefficiencies and recommend performance tuning strategies.
• Collaborate with product stakeholders to define benchmarking requirements and metrics.
• Conduct thorough testing and validation of cloud services to ensure compliance with benchmarking standards.
• Document all benchmarking processes and results for internal reference and client reports.
• Participate in code reviews and contribute to continuous integration/continuous deployment (CI/CD) practices.
• Stay up to date with emerging cloud technologies and trends to integrate new benchmarking approaches.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.
• 3+ years of experience in software development, specifically in cloud environments.
• Proficiency in at least one programming language such as Python, Java, or Go.
• Strong understanding of cloud computing concepts and services (e.g., AWS, Azure, Google Cloud).
• Experience with performance benchmarking tools and frameworks.
• Familiarity with DevOps practices and CI/CD pipelines.
• Excellent analytical and problem-solving skills.

Technologies & Tools

In this role, you will primarily work with cloud platform services such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Additionally, you will utilize programming languages like Python and Java for developing benchmarking scripts and tools, as well as DevOps tools such as Jenkins or GitLab CI for continuous integration. Familiarity with performance monitoring and metrics tools (e.g., Prometheus, Grafana) will also be beneficial.

Ideal Candidates

The ideal candidate is a proactive, detail-oriented software engineer with a strong passion for cloud technologies and performance optimization. They should possess excellent communication skills, allowing them to effectively collaborate across teams and convey complex technical concepts to non-technical stakeholders. A willingness to embrace challenges, combined with a strong commitment to quality and innovation, will enable them to thrive in our dynamic, remote work environment.