Sales Manager

Responsibilities:

Prerequisites:

IT Application Project Manager

Responsibilities:

• Manage the development and implementation of TOPPAN Ecquaria's solutions and applications
• Manage and lead a team of business analysts and developers in the entire project development life cycle
• Manage each phase of the development life cycle and ensure that all tasks/objectives in each phase are met
• Manage the expectations of Stakeholders and Clients
• Coordinate with suppliers and internal departments
• Accountable for the scope, schedule and resources used
• Manage and oversee the profit and loss of the project

Prerequisites:

• Computer Science background or equivalent
• At least 3 years' experience in project management and 5 years' experience in IT with good problem analysis techniques (those with less experience may be considered for a junior position)
• Strong written and communication skills
• Strong inter-personal relationship
• CITPM or PMP – Certified will be a huge added advantage
• Good understanding of Cloud Computing and Java / .NET / Web technologies will be an advantage

AI Engineer

Responsibilities:

• Contribute to the design and implementation of AI solutions.
• Assist in the development and implementation of AI models and systems,  leveraging techniques such as Language Models (LLMs) and generative AI.
• Collaborate with stakeholders to identify business opportunities and define AI  project goals.
• Stay updated with the latest advancements in generative AI techniques, such as  LLMs, and evaluate their potential applications in solving enterprise challenges.
• Utilize generative AI techniques, such as LLMs, to develop innovative solutions for  enterprise industry use cases.
• Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and  Hugging Face Transformers, to leverage pre-trained models and enhance  generative AI capabilities.
• Implement and optimize end-to-end pipelines for generative AI projects, ensuring  seamless data processing and model deployment.
• Utilize vector databases, such as Redis, and NoSQL databases to efficiently  handle large-scale generative AI datasets and outputs.
• Implement similarity search algorithms and techniques to enable efficient and  accurate retrieval of relevant information from generative AI outputs.
• Collaborate with domain experts, stakeholders, and clients to understand specific  business requirements and tailor generative AI solutions accordingly.
• Conduct research and evaluation of advanced AI techniques, including transfer  learning, domain adaptation, and model compression, to enhance performance  and efficiency.
• Establish evaluation metrics and methodologies to assess the quality, coherence,  and relevance of generative AI outputs for enterprise industry use cases.
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Prerequisites:

• Bachelor's Degree in Computer Science, Engineering, Data Science, or any other  relevant subject.
• Minimum 2 years of experience in Data Science and Machine Learning.
• Deploying LLMs, AI Agents and AI Solutions, integrate and deploy open source AI  models and solutions from Huggingface repository.
• In-depth knowledge of machine learning, deep learning, and generative AI  techniques.
• Proficiency in programming languages such as Python, R, and frameworks like  TensorFlow, PyTorch, Flask, Langchain, Llamaindex, CrewAI and Autogen.
• Strong understanding of NLP techniques and frameworks such as BERT, GPT, or  Transformer models.
• Familiarity with computer vision techniques for image recognition, object detection,  or image generation.
• Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI  solutions in a cloud environment.
• Expertise in data engineering, including data curation, cleaning, and  preprocessing.
• Knowledge of trusted AI practices, ensuring fairness, transparency, and  accountability in AI models and systems.
• Excellent problem-solving and analytical skills, with the ability to translate  business requirements into technical solutions.
• Track record of driving innovation and staying updated with the latest AI research  and advancements.

System Analyst

Responsibilities:

• Requirements & Analysis: Assist in gathering requirements from stakeholders and analyze the potential impact on related business applications.
• Software Development: Code, modify, test, correct, and document both new and  existing programs using assigned languages, tools, and coding conventions.
• Testing Operations: Prepare and document test data, set up testing and production environments, and conduct unit, module, functional, and volume testing.
• Quality Assurance: Analyze all test results and take necessary corrective actions.
• Technical Documentation: Prepare and maintain comprehensive program and  system documentation while producing deliverables according to group standards.
• System Design: Assist in establishing file structures and processing logic  requirements.
• Project Support: Assist Project Leaders in the study and design of application  systems, work coordination, project management, and user training.
• Maintenance & Support: Troubleshoot and support end-users during the  implementation and maintenance of application systems.
• Team Development: Train other developers in relevant technical skills.• Operational Resilience: Participate in Disaster Recovery activities, including  simulation exercises at Disaster Recovery sites.
• Continuous Improvement: Learn and pick up new programming skills related to  system development as assigned by supervisors.

Prerequisites:

Data Engineer

Responsibilities:

• Design and build data pipelines for ingesting, transforming, and delivering data at scale
• Develop and maintain data warehouse and data lake solutions
• Collaborate with data scientists and analysts to define data models and schemas
• Ensure data quality, integrity, and security across all pipelines
• Optimise ETL/ELT processes for performance and reliability
• Implement monitoring and alerting for data pipeline health

Prerequisites:

• Degree in Computer Science, Data Science, or equivalent
• At least 2 years' experience in data engineering or a related role
• Proficiency in Python, SQL, and cloud-based data platforms (AWS, GCP, or Azure)
• Experience with Apache Spark, Kafka, or similar big data frameworks
• Familiarity with dbt, Airflow, or equivalent orchestration tools
• Strong analytical and problem-solving skills

DevSecOps Engineer

Responsibilities:

• Embed security practices throughout the software development life cycle
• Implement automated security scanning in CI/CD pipelines (SAST, DAST, SCA)
• Define and enforce secure coding standards and policies
• Conduct vulnerability assessments and coordinate remediation
• Manage identity, access, and secrets across cloud environments
• Respond to security incidents and lead post-incident reviews

Prerequisites:

• Degree in Computer Science, Cybersecurity, or equivalent
• At least 3 years' experience in DevOps with a security focus
• Familiarity with security tools (SonarQube, Snyk, OWASP ZAP, Trivy)
• Knowledge of compliance frameworks (ISO 27001, SOC 2, PCI-DSS)
• Experience with cloud security on AWS, GCP, or Azure
• Certifications such as CISSP, CEH, or AWS Security Specialty are a plus

Software Engineer

Responsibilities:

• Design, develop, and maintain enterprise software systems
• Implement features across the full application stack
• Write clean, testable, and maintainable code
• Participate in technical design discussions and code reviews
• Investigate and resolve production issues
• Contribute to continuous improvement of engineering practices

Prerequisites:

• Degree in Computer Science, Engineering, or equivalent
• At least 3 years' professional software development experience
• Strong proficiency in Java, .NET, Python, or similar
• Solid understanding of data structures, algorithms, and design patterns
• Experience with web frameworks and database design
• Familiarity with Agile/Scrum methodologies

Software Engineer (Junior)

Responsibilities:

• Develop features and fix bugs across the application stack under senior guidance
• Write unit and integration tests for assigned modules
• Participate in code reviews to learn and improve craft
• Document technical work and contribute to internal knowledge bases
• Collaborate with cross-functional team members on day-to-day delivery
• Continuously upskill on the team’s tech stack

Prerequisites:

• Degree in Computer Science, Engineering, or equivalent
• 0–2 years of professional software engineering experience (fresh graduates welcome)
• Foundational knowledge of at least one modern programming language
• Understanding of version control (Git) and basic web technologies
• Eagerness to learn and a strong sense of ownership
• Good written and verbal communication skills