Senior Software Integration & Deployment Engineer

Job Description

Title: Senior Software Integration & Deployment Engineer

Company Name: Nextway Global Limited

Vacancy: --

Age: At least 24 years

Job Location: Anywhere in Bangladesh

Salary: Tk. 50000 - 60000 (Monthly)

Experience:

• 4 to 6 years
• The applicants should have experience in the following business area(s): Software Company, IT Enabled Service, BPO/ Data Entry Firm, Artificial Intelligence (AI) Startup, Business-to-Business (B2B) Software and Services Startup

• Bachelor of Science (BSc) in Computer Science & Engineering, Electrical & Electronic Engineering, Information Technology, Industrial Engineering

• 4 to 6 years
• The applicants should have experience in the following business area(s): Software Company, IT Enabled Service, BPO/ Data Entry Firm, Artificial Intelligence (AI) Startup, Business-to-Business (B2B) Software and Services Startup

• Age At least 24 years
• Only Male

Job Context

The Senior Deployment Engineer will be responsible for the installation, testing, operation and technical supervision of VisionX-AI garment-inspection systems at client factories. The position requires a combination of factory-level deployment, software and hardware troubleshooting, AI-system monitoring, team supervision and client coordination.

Key Responsibilities

• Lead the installation, testing, commissioning and regular follow-up of VisionX-AI systems at client factories.

• Monitor camera positioning, lighting, garment placement, computers, networking and software performance.

• Ensure proper integration of cameras, AI software, databases, cloud services and factory systems.

• Identify whether technical issues are related to hardware, software, networking, image quality, factory operators or the AI model.

• Diagnose and resolve server, database, API, network and software-related problems.

• Coordinate defect-image collection, annotation, testing and AI-model improvement.

• Review False Positive, False Negative, precision and recall results.

• Monitor inspection cycle time, daily output, system uptime, stability and pilot milestones.

• Support dashboards, APIs, databases and digital monitoring systems.

• Coordinate software testing, system updates and technical requirements with Bamboo Innovations Canada.

• Work closely with factory QC, production, maintenance, IT and management teams.

• Supervise junior engineers, installation engineers and project-support staff.

• Train factory QC operators and supervisors on proper system operation and basic troubleshooting.

• Prepare daily site reports, weekly updates, issue logs and performance summaries.

• Support product demonstrations, technical presentations, client meetings and proposal preparation.

• Maintain strict confidentiality of client, buyer, software, AI-model and garment-inspection data.

• Travel regularly and remain at client factory sites when required.

Educational Requirements

• Four-year BSc degree from a UGC-approved or recognized university in any of the following disciplines:

  • Computer Science and Engineering (CSE)

  • Software Engineering

  • Electrical and Electronic Engineering (EEE)

  • Mechatronics Engineering

  • Industrial and Production Engineering (IPE)

  • Textile Engineering

  • Apparel Manufacturing or Apparel Engineering

  • Information and Communication Technology (ICT)

  • Any other relevant engineering discipline

• Candidates with CSE, Software Engineering, EEE or Mechatronics backgrounds and practical experience in software deployment, camera systems or industrial technology will receive preference.

• Candidates with Textile, Apparel or IPE backgrounds must have practical experience in technical systems, factory automation, garment QC or AI-based inspection.

• Relevant professional training or certification in cloud technology, networking, databases, Python, IoT, industrial automation or project management will be considered an advantage.

• An acceptable academic record and strong practical technical ability are required.

Experience Requirements

• Minimum 4–6 years of relevant professional experience.

• Experience in software deployment, industrial automation, factory technology, camera systems, IoT, garment manufacturing or quality-control operations.

• Experience supervising engineers, technicians or deployment teams will be preferred.

• Practical factory-site experience and the ability to manage technical responsibilities independently are essential.

• Candidates with strong backend, cloud and database experience may be considered if they are willing to learn computer vision, camera integration and garment-inspection processes.

Technical Skills

• Knowledge of computer hardware, networking, cameras, lighting and software installation.

• Understanding of machine vision, computer vision or AI-based inspection systems.

• Basic knowledge of AI-model testing, image annotation, defect classification, precision and recall.

• Familiarity with Python, OpenCV or related technologies will be preferred.

• Experience with React.js, Vue.js, Angular or similar frontend technologies.

• Experience with Node.js, NestJS, Go, PHP or similar backend technologies.

• Knowledge of PostgreSQL, MySQL, MongoDB or similar databases.

• Familiarity with AWS, Azure or GCP cloud services.

• Basic understanding of APIs, Git, CI/CD pipelines and software-release management.

• Experience with dashboards, digital reporting, IoT or factory-automation systems.

• Knowledge of garment QC or denim-production processes will be an added advantage.

Additional Requirements

• Good communication skills in both Bangla and English.

• Ability to prepare reports and communicate technical issues clearly.

• Ability to explain system operations to non-technical factory personnel.

• Strong troubleshooting, coordination and team-management ability.

• Willingness to travel and work regularly at client factory sites.

• Confidence in client meetings, demonstrations and presentations.

• Responsible, disciplined and capable of working under pressure.

• Willingness to learn new AI, computer vision, and industrial technologies.

Key Performance Indicators

• Timely completion of factory installation and commissioning.

• Technical issue identification and resolution time.

• System uptime and inspection stability.

• Improvement in inspection cycle time and daily output.

• Progress in defect-image collection and AI-model development.

• Reduction in False Positives and False Negatives.

• Improvement in precision, recall and inspection accuracy.

• Quality of daily and weekly technical reporting.

• Completion of factory-user training.

• Achievement of pilot milestones and client satisfaction.

• Effective supervision of junior engineers and support staff.

• Quality of coordination with Bamboo Innovations Canada and client factory teams.