
501 - 1000 employees
Founded 2005
⚖️ Legal
☁️ SaaS
💳 Fintech
💰 Private equity on 2024-08
Legal • SaaS • Fintech
8am is a professional business platform that helps law firms, accounting firms, associations, and other professional services manage billing, payments, compliance, and case/practice workflows. The company offers a suite of SaaS products — including LawPay, MyCase, CasePeer, DocketWise, CPACharge, ClientPay, and AffiniPay — that combine payments, practice management, document and case tools, and practical AI features to automate work, improve cash flow, and maintain industry-specific compliance. 8am emphasizes secure, compliant payments (PCI Level 1, IOLTA compliance for legal), integration with other tools, and measurable time and productivity savings for professionals.
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501 - 1000 employees
Founded 2005
⚖️ Legal
☁️ SaaS
💳 Fintech
💰 Private equity on 2024-08
Legal • SaaS • Fintech
8am is a professional business platform that helps law firms, accounting firms, associations, and other professional services manage billing, payments, compliance, and case/practice workflows. The company offers a suite of SaaS products — including LawPay, MyCase, CasePeer, DocketWise, CPACharge, ClientPay, and AffiniPay — that combine payments, practice management, document and case tools, and practical AI features to automate work, improve cash flow, and maintain industry-specific compliance. 8am emphasizes secure, compliant payments (PCI Level 1, IOLTA compliance for legal), integration with other tools, and measurable time and productivity savings for professionals.
• Design and create performance test suites for multiple product teams against a microservices-based SaaS platform running on AWS. • Operate and help maintain production-like environments for performance analysis, diagnosis, and regression testing. • Analyze application and infrastructure logs to identify, isolate, and help root-cause performance degradations. • Define, track, and report on performance KPIs (response times, throughput, error rates, resource utilization) and deliver trend analysis and projections to engineering leadership and product stakeholders. • Use usage and trend data to identify capacity risks and provide recommendations before they impact customers. • Collaborate with Platform Engineering, DevX, SDET, and Product teams to prioritize and validate performance improvements. • Partner with Security QE on the overlap between performance and security risk. • Identify and define nonfunctional performance tests for CI/CD pipeline gates (Integration, Regression, Post-Deployment). • Contribute to performance engineering standards, runbooks, and best practices within the QE organization.
• 3+ years of hands-on performance testing and analysis on microservices-based, cloud-hosted (AWS) SaaS platforms. • Strong analytical skills with a demonstrated ability to move from symptoms to root cause. • Background in statistical analysis: trend modeling, interpolation, extrapolation, and capacity forecasting. • Working knowledge of AWS (EC2, RDS, S3, ECS/EKS), Docker, and Kubernetes. • Experience with performance testing tools (k6, Gatling, Locust, JMeter, or equivalent). • Experience with observability platforms (Prometheus, Grafana, Datadog) and log aggregation (ELK Stack, CloudWatch). • Scripting proficiency in Python or comparable language for test scenarios, data analysis, and light tooling. • Comfortable working asynchronously across multiple time zones in a remote-first team. • Fluent in English (written and spoken); Czech language skills are a plus but not required.
• Diversity, equity & inclusion at 8am. • A strong team of people who are diverse in background, personality, talent and ideas. • Ensuring a diverse and inclusive workplace.
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