ShipIn Systems

Ship In is a maritime technology company that offers Fleet Vision™, an AI-powered platform designed to enhance fleet management by improving safety, operational efficiency, and environmental sustainability. The platform leverages advanced visual analytics and computer vision to detect safety hazards, operational anomalies, and machinery concerns, ultimately aiming to reduce incidents onboard by 40% and increase cargo operations efficiency by up to 8%. With a focus on innovation and collaboration, Ship In positions itself as a leader in the maritime industry, addressing the needs of fleet managers and owners to optimize performance and profitability.

AIFleet ManagementOperational EfficiencySafetyVisual Analyticsshipin.ai

ShipIn Systems

AIFleet ManagementOperational EfficiencySafetyVisual Analyticsshipin.ai

HQNewton, US

Team Size71

Open Jobs17

Total Funding$40M

Latest Fundraise5 months ago

TL;DR

Product: FleetVision — AI-powered visual analytics platform for vessel monitoring and fleet management

Founders: Osher Perry (Co-founder & CEO), Ilan Naslavsky (Co-founder & CTO)

Headquarters: Boston, MA and Singapore

Founded: 2018 or 2019 (sources list both years)

Notable funding: Series A announced Oct 19, 2022 — $24M led by Zeev Ventures

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Company Overview

Problem Domain

Maritime fleet management: safety, security, cargo operations, operational efficiency, and environmental performance.

Founded

2018

Industry

Maritime Transportation

Tech Stack

Cloudflare CDN

WordPress

Google Tag Manager

Font Awesome

DNSSEC

HSTS

Funding Track Record

Series A- 2022-10-19

24000000

Announced $24M Series A with participation from Hyperplane and Munich Re Ventures

Investor Signal

“Investors include Zeev Ventures, Hyperplane, Munich Re Ventures, Boost VC, Zeev Ventures, at.inc/”

Founders

What we do

Join the Team

Senior Platform Engineer, Deployment Automation

RemoteIN

Remote • IN

About the role

We are seeking an experienced Senior Platform Engineer, Deployment Automation to join our R&D Systems Engineering team , reporting to the Director of Systems Engineering. This role is instrumental in leading the transformation of our deployment infrastructure by adopting modern automation and continuous delivery practices.

This role will be instrumental in leading deployment activities, improving automation processes, and enhancing our customer onboarding experience. Initially, you will spearhead the selection and deployment of a central system to support our deployment infrastructure.

Key Responsibilities

Automation Development & Tooling: Develop, maintain, and own the suite of Python-based orchestration tools and APIs to streamline the end-to-end product delivery process.

Deployment Architecture (CI/CD/GitOps): Design, implement, and maintain scalable deployment architectures to enable robust one-touch deployment across on-premise solution, and edge systems.

Kubernetes & Containerization: Manage and optimize application deployment within Kubernetes (K8s) clusters to guarantee high availability and resource efficiency.

Cost & Efficiency: Lead technical activities to identify and implement resource efficiency improvements, including hardware validation and benchmarking (GPU/CPU) , and optimizing container resource limits to meet cost reduction targets.

Central System Leadership: Lead the evaluation, selection, and deployment of a new central information management system , ensuring robust integration with our automated deployment systems.

System Lifecycle Management: Define and execute product lifecycle management processes (EoS, EoL, asset retirement, and replacement strategies) for customer assets and hardware.

Qualifications

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

Product Designer

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Part-time • Munich, DE

Frontend Developer

Part-timeManchester, GB

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DevOps Engineer

Full-timeSan Francisco, US

Full-time • San Francisco, US

Frontend Developer

Part-timeSan Francisco, US

Part-time • San Francisco, US

Mobile Developer

Full-timeHamburg, DE

Full-time • Hamburg, DE

Frontend Developer

ContractUtrecht, NL

Contract • Utrecht, NL

Experience: Minimum 5+ years of relevant experience in Platform Engineering, Deployment Automation, or Site Reliability Engineering (SRE) roles.

Core Language (Required): Strong, verifiable proficiency and experience developing custom tooling and orchestration scripts using Python . Knowledge of Bash/Shell scripting is a strong asset.

Orchestration & Containerization: Mandatory hands-on experience deploying and managing applications within Kubernetes (K8s) and Docker .

Deployment Tooling: Proven ability to design and implement CI/CD pipelines (e.g., GitLab CI, GitHub Actions, Jenkins ) and implement GitOps best practices.

Hybrid Infrastructure: Specific experience automating deployment to hybrid SaaS and on-prem computer vision systems or physical edge devices.

Performance Analysis: Experience conducting performance benchmarking and complex cost/performance analysis to inform strategic hardware selection decisions (GPU/CPU efficiency).

Networking & Systems: Solid understanding of advanced networking concepts for deployment architecture ( VLANs, DNS, routing, firewall rules ) and familiarity with virtualization/Linux administration.

Advantage: Familiarity with video streaming protocols ( RTSP, ONVIF ) and NVR system optimization is highly valuable.

Demonstrated ability to understand and design solutions spanning the entire system lifecycle, including hardware, edge devices, NVRs, network components, and cloud services