
51 - 200 employees
Founded 2018
☁️ SaaS
🤝 B2B
🏢 Enterprise
💰 $72M Series A - ProsperOps on 2023-02
SaaS • B2B • Enterprise
ProsperOps is a SaaS company that provides autonomous FinOps automation to optimize cloud costs across AWS, Google Cloud, and Microsoft Azure. It combines AI-enabled rate optimization (Autonomous Discount Management) with resource scheduling and workload optimization (ProsperOps Scheduler) to maximize savings, minimize commitment lock-in risk, and reduce wasted spend. The platform passively ingests cloud billing data, continuously calculates and executes optimal commitment and scheduling adjustments, and delivers reporting, benchmarking, and showback for FinOps and DevOps teams.
🔥 0 minutes ago
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51 - 200 employees
Founded 2018
☁️ SaaS
🤝 B2B
🏢 Enterprise
💰 $72M Series A - ProsperOps on 2023-02
SaaS • B2B • Enterprise
ProsperOps is a SaaS company that provides autonomous FinOps automation to optimize cloud costs across AWS, Google Cloud, and Microsoft Azure. It combines AI-enabled rate optimization (Autonomous Discount Management) with resource scheduling and workload optimization (ProsperOps Scheduler) to maximize savings, minimize commitment lock-in risk, and reduce wasted spend. The platform passively ingests cloud billing data, continuously calculates and executes optimal commitment and scheduling adjustments, and delivers reporting, benchmarking, and showback for FinOps and DevOps teams.
• Design and develop high-quality, secure, testable software • Identify, prioritize and execute tasks in the software development lifecycle • Automate tasks through appropriate tools and scripting • Review and debug code • Perform validation and verification testing • Collaborate with internal teams and vendors to fix and improve products • Ensure software is up-to-date with the latest technologies
• Proven experience as a Senior Software Engineer • Strong knowledge of both strongly and dynamically typed programming languages (we use C# and JavaScript) • Significant experience working with an at-scale public cloud (AWS, Azure, GCP) • In-depth knowledge of relational databases (e.g. PostgreSQL, MySQL) and non-relational databases (e.g. DynamoDB) • Experience leveraging automated testing frameworks (e.g. Jest, NUnit) • Experience using system monitoring tools (e.g. AWS CloudWatch) • Experience with infrastructure-as-code tooling (e.g. Terraform, CloudFormation) • Familiarity with Linux system administration • Analytical mind with problem-solving aptitude • Ability to work independently • Excellent organizational and leadership skills
• Equal opportunity employer • Promotion of a diverse, equitable, and inclusive workforce • Accommodations available for candidates as needed
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