About ShipIn ShipIn Systems is the world’s first FleetVision Platform, unlocking ship-to-shore collaboration for global maritime fleets with AI-powered maritime CCTV and visual analytics. Our platform proactively alerts shipowners, managers, and seafarers to onboard events in real time, enhancing safety, security, and operational efficiency across fleets worldwide. About the role We are seeking an experienced Senior Systems Engineer to join our Systems Engineering team, reporting to the director of Systems Engineering. 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 Responsibilitis esLead the evaluation, selection, and deployment of a centralized deployment management syst emDesign and implement automated deployment pipelines for vessel-based installatio nsCreate and optimize automated workflows for customer onboarding and provisioni ngBuild automation tools and scripts to reduce manual deployment effort toLead and support hardware certification, testing, and validation rocesses in lab environments to ensure optimal performance and compatibility before customer deployme ntConduct performance benchmarking and cost/performance analysis for hardware selection, guaranteeing efficient and budget-conscious infrastructure choic esManage and document product lifecycles, including End-of-Service (EoS), End-of-Life (EoL) planning, and establishing seamless replacement strategies for customer asse ts Qualificati onsMinimum 5+ years of relevant experience in system engineering, deployment, or computer vision rol es.Specific experience in hybrid SaaS and on-prem computer vision systems deployment preferr ed.Proven experience with deployment automation, lifecycle management, and hardware lab maintenan ce.Industry experience in AI, machine vision, robotics, autonomous systems, or related technology sectors is valua bleStrong, verifiable proficiency in Python for complex orchestration, model/pipeline scripting, and data process ingknowledge of Bash/Shell scripting for system configuration and administrative ta sksHands-on experience in administering, configuring, and deploying solutions on both Linux (various distributions) and Windows operating syst emsOrchestration: Experience deploying and managing applications within Kubernetes or similar container orchestration platfo rmsDemonstrated ability to understand and design solutions spanning the entire system lifecycle, including hardware, edge devices, NVRs, network components, and cloud servi cesNetworking & Video: Solid understanding of advanced networking concepts (VLANs, routing, firewalls) and familiarity with video streaming protocols (RTSP, ONVIF) and NVR system optimizat ionPerformance Analysis: Experience conducting performance benchmarking and complex cost/performance analysis to inform strategic hardware selection decisi onsAsset Management: Practical knowledge and experience in defining and executing product lifecycle management processes (EoS, EoL, asset retirement, and replacement strategie s).
About ShipIn ShipIn Systems is the world's first FleetVision Platform, unlocking ship-to-shore collaboration for global maritime fleets with AI-powered maritime CCTV and visual analytics. Our platform proactively alerts shipowners, managers, and seafarers to onboard events in real time, enhancing safety, security, and operational efficiency across fleets worldwide. About the role We are seeking an experienced Senior Systems Engineer to join our Systems Engineering team, reporting to the director of Systems Engineering. 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 Responsibilitis esLead the evaluation, selection, and deployment of a centralized deployment management syst emDesign and implement automated deployment pipelines for vessel-based installatio nsCreate and optimize automated workflows for customer onboarding and provisioni ngBuild automation tools and scripts to reduce manual deployment effort toLead and support hardware certification, testing, and validation rocesses in lab environments to ensure optimal performance and compatibility before customer deployme ntConduct performance benchmarking and cost/performance analysis for hardware selection, guaranteeing efficient and budget-conscious infrastructure choic esManage and document product lifecycles, including End-of-Service (EoS), End-of-Life (EoL) planning, and establishing seamless replacement strategies for customer asse ts Qualificati onsMinimum 5+ years of relevant experience in system engineering, deployment, or computer vision rol es.Specific experience in hybrid SaaS and on-prem computer vision systems deployment preferr ed.Proven experience with deployment automation, lifecycle management, and hardware lab maintenan ce.Industry experience in AI, machine vision, robotics, autonomous systems, or related technology sectors is valua bleStrong, verifiable proficiency in Python for complex orchestration, model/pipeline scripting, and data process ingknowledge of Bash/Shell scripting for system configuration and administrative ta sksHands-on experience in administering, configuring, and deploying solutions on both Linux (various distributions) and Windows operating syst emsOrchestration: Experience deploying and managing applications within Kubernetes or similar container orchestration platfo rmsDemonstrated ability to understand and design solutions spanning the entire system lifecycle, including hardware, edge devices, NVRs, network components, and cloud servi cesNetworking & Video: Solid understanding of advanced networking concepts (VLANs, routing, firewalls) and familiarity with video streaming protocols (RTSP, ONVIF) and NVR system optimizat ionPerformance Analysis: Experience conducting performance benchmarking and complex cost/performance analysis to inform strategic hardware selection decisi onsAsset Management: Practical knowledge and experience in defining and executing product lifecycle management processes (EoS, EoL, asset retirement, and replacement strategie s).
About ShipIn: At ShipIn Systems, we empower maritime leaders with our cutting-edge Visual Fleet Management Platform. Leveraging patented computer vision technology and real-time visual analytics, our platform provides proactive alerts to shipowners, managers, and seafarers, enhancing safety, efficiency, and operational excellence. By delivering unparalleled visibility into onboard activities, ShipIn is transforming maritime operations and modernizing the global supply chain. Position Description: - Develop and implement Automation framework for E2E and BE system testing. - Experience using JS/TS, Python, and Playwright. Both for FE and BE. - Collaborate with development teams to ensure test coverage for critical workflows and edge cases. - Continuously improve test coverage and efficiency.Track and report automation metrics, providing transparency across teams. - Stay up-to-date with test automation trends to improve processes. Qualifications / Experiences: - 5+ years of experience in QA Automation - Strong JavaScript/TypeScript proficiency for developing and maintaining test automation frameworks. - Experience using Playwright or similar tools for end-to-end web testing. - Familiarity with test planning, bug tracking, and continuous integration processes. - Curious, able to work with details and to help debug and troubleshoot issues. - Excellent communication and collaboration skills, with the ability to work effectively in a fast-paced, cross-functional team environment. - Bachelor’s degree in CS or equivalent training in the area of QA. - Experience in Python - an advantage - Place of residence: Pakistan