Staff Software Engineer, Core Infrastructure

🕒 March 27

🏢🏡 Bengaluru – Hybrid

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

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Harvey

WebsiteLinkedIn

11 - 50 employees

🤖 Artificial Intelligence

🏢 Enterprise

💰 $80.6G Series B on 2023-12

Artificial Intelligence • Legal • Enterprise

Harvey is a professional class AI solution tailored specifically for law firms, professional service providers, and Fortune 500 companies. It offers a suite of domain-specific tools that enable users to delegate complex tasks in natural language to a customized personal assistant. Harvey's platform facilitates rapid research with grounded results across legal, regulatory, and tax domains, while also providing secure project workspaces for document analysis through generative AI. With a focus on enterprise-grade security and industry-leading AI models, Harvey aims to streamline workflows and free professionals, such as lawyers, from mundane tasks, enabling them to concentrate on strategic and advisory roles.

📋 Description

• Design and build scalable, fault-tolerant infrastructure systems that power Harvey's AI platform across multiple cloud regions • Own and evolve our multi-cloud infrastructure (Azure, GCP), including Kubernetes orchestration, networking, and container management • Lead technical initiatives around observability, incident response, and operational excellence — building systems that enable rapid detection and resolution of issues • Architect and optimize our distributed systems for reliability, including load balancing, quota management, and failover mechanisms • Partner with Product Engineering and Security teams to ensure our infrastructure is an accelerant, not a constraint • Drive infrastructure-as-code practices using tools like Terraform and Pulumi to enable reproducible, auditable deployments • Mentor engineers and raise the technical bar across the organization through code reviews, design reviews, and technical leadership

🎯 Requirements

• 8+ years of experience in Infrastructure Engineering or Platform Engineering in a production environment • Long track record building and scaling complex, large-scale distributed systems • Deep proficiency with cloud infrastructure platforms (Azure preferred; GCP or AWS experience transfers well) • Strong fluency in Infrastructure as Code (IaC) tools — Terraform, Pulumi, or CloudFormation • Solid understanding of Kubernetes, container orchestration, networking, and cloud security at scale • Experience with observability tools (Datadog, Sentry) and incident response practices (PagerDuty, Incident.io) • Strong programming skills in Python, Go, or similar languages • Excellent problem-solving skills, a "spidey sense" of where things could go wrong, and a commitment to operational excellence.

🏖️ Benefits

• Reasonable accommodations for applicants with disabilities • Equal opportunity employer

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