Senior Platform Engineer

🕒 July 27

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

👻 Ghost score 23%

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Logo of Terzo

Terzo

51 - 200 employees

Founded 2020

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

Artificial Intelligence • SaaS • Enterprise

Terzo is an enterprise AI and analytics platform that transforms unstructured business documents (contracts, invoices, POs) into structured, analytics-ready financial and contractual data. It uses hybrid AI (NLP, computer vision, neural networks) plus human QA to extract, normalize, and connect metadata at enterprise scale, powering contract intelligence, spend and financial insights, procurement and legal workflows, and integrations with ERPs, CRM, CLMs, and cloud storage. Terzo positions itself as a B2B, SLA-backed AI-as-a-Service solution for finance, procurement, legal, and supply-chain teams to reduce cost, improve compliance, speed M&A diligence, and surface revenue and savings opportunities.

📋 Description

• Own the infrastructure that supports enterprise-scale document corpora processing • Build and operate foundational infrastructure for product teams • Manage cloud infrastructure on Azure and data pipeline orchestration • Implement CI/CD and deployment automation practices • Ensure observability and incident response for platform reliability

🎯 Requirements

• 5+ years of experience building and operating production cloud infrastructure at scale • Strong experience with infrastructure-as-code (Terraform) and cloud platform management, Azure is a plus. • Solid understanding of container orchestration (Kubernetes, Docker) and modern deployment patterns • Experience building and maintaining CI/CD pipelines, deployment automation, and developer tooling • Comfort with observability systems including monitoring, alerting, logging, tracing • Strong SRE instincts: you think in terms of SLOs, capacity planning, incident response, and eliminating toil through automation • Experience operating data infrastructure e.g. data pipelines, streaming systems, distributed compute • Familiarity with distributed compute frameworks (Ray) or streaming technologies (Kafka, Azure Service Bus) • Prior work in a B2B SaaS or enterprise data platform environment where uptime and data integrity are contractual • Prior work at a high-growth startup where you built infrastructure foundations from the ground up, not just maintained them

🏖️ Benefits

• Competitive salary • Annual performance bonus • Employee stock option plan • 100% paid medical, dental, and vision coverage • 401(k) with employer contribution • Generous vacation and sick leave • Flexible work arrangements • High-quality equipment for home and office • Strong culture of collaboration, mentorship, and continuous improvement

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