
201 - 500 employees
💸 Finance
🏢 Enterprise
Finance • Enterprise • Data Analysis
YipitData is a company that specializes in providing accurate, timely insights on over 1,000 companies by analyzing billions of data points every day. They offer detailed research to help investors make smarter decisions and assist companies in increasing market share, sales, and customer base. YipitData delivers alternative data through a range of datasets, including receipt data, card data, web data, and publicly reported earnings. This data is used to track market trends, consumer behavior, and product categories, enabling businesses to gain transparency into performance metrics. Their services cater to investors, companies, and data partners, with a strong focus on accuracy and near real-time data delivery.
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $168k - $193.7k / year
⏰ Full Time
🟠 Senior
☁️ Cloud Engineer
👻 Ghost score 4%
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201 - 500 employees
💸 Finance
🏢 Enterprise
Finance • Enterprise • Data Analysis
YipitData is a company that specializes in providing accurate, timely insights on over 1,000 companies by analyzing billions of data points every day. They offer detailed research to help investors make smarter decisions and assist companies in increasing market share, sales, and customer base. YipitData delivers alternative data through a range of datasets, including receipt data, card data, web data, and publicly reported earnings. This data is used to track market trends, consumer behavior, and product categories, enabling businesses to gain transparency into performance metrics. Their services cater to investors, companies, and data partners, with a strong focus on accuracy and near real-time data delivery.
• Design, build, and operate shared cloud infrastructure using AWS, Kubernetes, Terraform, Databricks, Cloudflare, and related cloud-native technologies • Deliver SRE and DevOps initiatives improving reliability, scalability, observability, deployment safety, and operational readiness • Build reusable infrastructure modules, automation, and self-service workflows • Define and implement SLIs, SLOs, monitoring, alerting, and error-budget practices • Participate in incident response and improve outcomes through runbooks, post-incident reviews, and corrective actions • Strengthen disaster-recovery readiness through planning, automation, testing, and remediation • Improve CI/CD workflows and infrastructure delivery • Partner with application, Data Platform, and Data Engineering teams • Improve cloud efficiency through architecture, capacity planning, Kubernetes resource optimization, cost visibility, and automation • Contribute to technical standards, architecture decisions, documentation, and the team’s sustainable 24/7 operating model • Report to the Head of Cloud Infrastructure
• 4+ years of relevant software, infrastructure, SRE, platform engineering, or DevOps experience • Hands-on production experience with AWS, Kubernetes, Datadog, Databricks, and Terraform • Interest in AI-native and data-intensive applications and systems • Experience working with Databricks, OpenAI, Anthropic, and open source AI tools • Ability to write reliable, maintainable software and automation • Experience operating business-critical production systems • Understanding of observability, incident response, operational readiness, and root-cause analysis • Experience improving CI/CD systems, infrastructure as code, deployment workflows, or internal developer platforms • Understanding of SLIs, SLOs, error budgets, capacity planning, and disaster-recovery objectives • Ability to independently own projects and make sound technical tradeoffs • Ability to participate in an on-call or incident-response rotation • Bachelor’s degree or equivalent practical experience • Must not currently or in the future require visa sponsorship • Must work East Coast hours
• Flexible work hours • Flexible vacation • Generous 401K match • Parental leave • Team events • Wellness budget • Learning reimbursement • Equity • Fully remote work within the United States • Equal employment opportunity
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