Cloud Platform Tech Lead

Havoc AI Inc

Job Overview

Location

Nice, USA

Job Type

Full-time

Full Job Description

📋 Description

• As Cloud Platform Tech Lead Engineer at Havoc AI Inc, you will own the architecture, reliability, and evolution of the cloud platform that powers the engineering organization, enabling mission-critical autonomous systems for defense and commercial maritime missions while ensuring scalability, security, and operational excellence.
• You will lead a cross-functional team spanning Cloud Platform, DevOps, SRE, and Data Engineering, defining technical standards, driving infrastructure innovation, and ensuring the platform supports rapid engineering velocity without compromising reliability or cost efficiency.
• Day to day, you will define and drive the technical direction of the cloud platform, establishing standards across infrastructure, DevOps, SRE, and data systems while making architectural decisions that balance speed, scalability, and maintainability.
• You will design and own foundational platform services including shared runtimes, service frameworks, and data infrastructure, architect and operate Kubernetes-based environments for reliable multi-service systems, and ensure infrastructure is secure, scalable, and cost-efficient.
• You will lead development of CI/CD systems and deployment workflows, establish SRE practices including SLIs, SLOs, and incident response frameworks, define observability standards across logging, metrics, and tracing, and improve operational maturity through automation and continuous improvement.
• You will build self-service tooling and paved paths for deploying and operating services, partner across autonomy, hardware, backend, and data teams to remove bottlenecks, and ensure platform systems support both application and data workloads seamlessly.
• You will maintain strong security practices across infrastructure and systems and troubleshoot complex issues across distributed systems, networking, and services to ensure resilience and uptime.
• You will work with a mission-driven team at Havoc AI Inc, a leader in collaborative autonomy for autonomous surface vessels, where innovation, integrity, and servant leadership are core values and your work directly contributes to preventing conflict and saving lives through advanced defense technology.
• In this role, you will have the opportunity to shape the technical foundation of a fast-growing startup, gain deep expertise in large-scale cloud platforms, lead high-impact engineering initiatives, and advance your career as a strategic technical leader in a cutting-edge autonomous systems company.

🎯 Requirements

• 7+ years of experience in cloud infrastructure, platform engineering, DevOps, or SRE
• Proven experience acting as a technical lead driving architecture and execution
• Strong proficiency with Go, Docker, and Kubernetes
• Deep understanding of distributed systems and cloud architecture
• Experience operating large-scale production systems
• Ability to design platforms that support multiple engineering teams

🏖️ Benefits

• 100% Employer paid Health, Dental and Vision Insurance for you and your families
• Life Insurance (Employer Paid)
• Ability to participate in the company's 401k program with matching
• Unlimited PTO policy with an enforced 2 week minimum
• Equity Package
• Work / Home Office Stipend
• Global Entry
• 16 Week Paid Parental Leave
• Monthly Health and Wellness Stipend

Skills & Technologies

AWS

Docker

Kubernetes

Senior

Remote

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Havoc AI Inc

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About Havoc AI Inc

Havoc AI Inc provides an autonomous drone-swarm platform for defense and security applications. The system integrates computer vision, real-time coordination, and modular payload capabilities to enable surveillance, reconnaissance, and kinetic effects at scale. Designed for contested environments, the software stack supports rapid deployment, adaptive mission planning, and human-on-the-loop oversight. Headquartered in Seattle, the company serves U.S. and allied government customers, focusing on asymmetric advantages through low-cost, high-volume unmanned systems.

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