Total 60 quality control engineer job vacancies in Singapore

Required Key Skills

· Expert level knowledge in implementation and maintenance of Cisco Routers and Switches of all series.

· Good knowledge in Cisco IOS

· Good knowledge in implementation and operations support of NAC (network access control)

· Good knowledge in Aruba Clear Pass / Cisco ISE

· Good knowledge in Wireless Network / Access Points / Controllers support and troubleshooting

· Expert level understanding of the OSI or TCP/IP model

· Provide Level-2 technical support and troubleshooting to resolve issues

· CCNP certification

· Hands-on experience with monitoring, network diagnostic, Packet Tracers and network analytics tools

· Good knowledge on Firewall Products like Cisco ASA, FortiGate, Palo Alto, Checkpoint

· Good knowledge on Aruba ClearPass/Cisco ISE, Cisco wireless controllers

· Knowledge on F5 load balancers

EA License No: 11C4879 / Registration ID : R1218583

Apar Technologies Pte Ltd, Singapore

Job Summary:

· Acts as primary IT representative for all meeting room, collaboration space, and telecom system builds for new facility projects (new builds and refreshes)

· Provides support for hybrid, in-person, and virtual meetings including configuring webinar settings, controlling in-meeting functions, and operating AV equipment such as microphones and presentation laptops

· Monitors and troubleshoots existing meeting room and telecom systems deployed in various facilities

Responsibilities

· Reviews construction plans for new meeting rooms and specifies correct room requirements according to company Global AV Standards

· Reviews telecom needs with project stakeholders and creates programming sheets for telecom system programming

· Assists project team with procurement of telecom hardware

· Assists project team with procurement and oversight of audiovisual vendor for assigned projects

· Supports vendor and internal stakeholders with commissioning and validation of new telecom and audiovisual systems

· Coordinates and plans upcoming meetings and webinars with meeting stakeholders including executive administration and corporate real estate teams

· During meetings and webinars, engineer may be responsible for controlling Q&A, recording, muting audience and advancing presentation content as coordinated with meeting hosts

· After conclusion of meetings/webinars, engineer will coordinate delivery of post-meeting materials (recording links, chat transcripts, etc.) to event hosts

· Monitors alerting platform for trouble with in production room systems and coordinates response from internal company resources and external vendors when necessary

· Provides timely updates to trouble tickets and project status using appropriate tools

Qualifications

· 3+ years experience

· AVIXA CTS, CTS-D, CTS-I certifications preferred

EA License No: 11C4879 / Registration ID : R1218583

Apar Technologies Pte Ltd, Singapore

Lead Consultant – AWS Cloud Engineer

Experienced AWS Cloud Engineer profile having experience with EC2, Provisioning, Virtualization knowledge.

Responsibilities

• Develop and Maintain AWS Cloud Services in accordance with Security and Standards.

• Write solution design documents.

• Present the solution definition documentation to Architecture review council.

• Design architecture for high availability and security-first approach.

• Design architecture for sizing / scalability and performance.

• Remediate any availability, regulatory or performance-related operational deficiencies.

• Notify Client of changes to and adoptions of new cloud technology.

• Remain current in the knowledge and use of cloud technology, virtualization, compute, storage, and management products.

• Overall Good Experience in Infrastructure and Operations

• Good Experience in Cloud Architecture and Engineering services

• Hands on experience with AWS cloud native services

• Hands on experience with AWS container services

• Experience with Agile and DevOps concepts

• Strong communication and written skills

• Experience creating technical architecture documentation.

• Hands on experience Architecting and Designing solutions on AWS.

• Knowledge of security controls for the public cloud (encryption of data in motion/rest and key management)

• Knowledge of Linux and Windows containers

• Experience with Open Source Cloud and configuration management tools (Terraform Ansible, etc.)

• Experience with alternate cloud providers (e.g. Azure)

• Experience in the Manufacturing industry

• Bachelor’s degree

• Knowledge of AWS products and services: EKS, S3, SQS, SNS, Cloud Watch, Elastic Cache, Kinesis, Cloud Trail, KMS, WAF, Guard Duty, IAM, Lambda, Connect, RDS

• Knowledge of Azure products and services: Azure AD, VM, BLOB, Key Vault, Log Analytics, Monitor, Azure Databases (SQL, PostgreSQL, MySQL), Key Vault, Security Center, Activity log

Qualifications we seek in you!

Minimum Qualifications

• Bachelor's Degree required. Preferably in Computer Science, Information Systems, or related field

Preferred Qualifications/ Skills

• Very good written and presentation / verbal communication skills with experience of customer interfacing role. In-depth requirement understanding skills with good analytical and problem-solving ability, interpersonal efficiency, and positive attitude.

EA License No: 11C4879 / Registration ID : R1218583

Apar Technologies Pte Ltd, Singapore

Job Description

· The role will mainly manage KRIs and tech debt amongst other risk tasks

· Risk Identification: Identify and define Key Risk Indicators (KRIs) relevant to the organizations objectives and risk appetite

· Data Collection and Analysis: Collect and analyze data to determine the current status of key risk indicators, ensuring accuracy and relevance

· Monitoring and Reporting: Continuously monitor KRIs and provide regular reports to management, highlighting emerging risks and trends

· Risk Assessment: Assess the significance of deviations from established risk thresholds and escalate issues as necessary

· Communication: Effectively communicate risk insights to stakeholders, including executives and department heads

· Risk Mitigation Strategies: Collaborate with risk owners to develop and implement strategies for mitigating identified risks

· Policy Development: Contribute to the development and enhancement of risk management policies and procedures

· Regulatory Compliance: Stay informed about relevant regulations and ensure that the organizations risk management practices align with legal requirements.

· Technology Utilization: Leverage technology tools for efficient KRI monitoring and reporting.

Required Skills :-

· Risk Management: Strong understanding of risk management principles and methodologies

· Analytical Skills: Proficient in data analysis and interpretation to derive meaningful insights from key risk indicators

· Communication Skills: Excellent verbal and written communication skills to convey complex risk information clearly to diverse audiences

· Collaboration: Ability to collaborate with cross-functional teams and influence decision-making related to risk management

· Problem-Solving: Strong problem-solving skills to address emerging risks and develop effective mitigation strategies

· Regulatory Knowledge: Familiarity with relevant industry regulations and compliance requirements

· Technology Proficiency: Competence in using risk management software and data analytics tools

· Attention to Detail: Meticulous attention to detail to ensure accuracy in risk data and reporting

· Adaptability: Ability to adapt to changing risk landscapes and implement proactive measures

· This role involves a combination of technical skills, strategic thinking, and effective communication to ensure the organization is equipped to manage its key risks.

EA Number: 11C4879

• Designing and implementing an automation framework for all aspects of the application lifecycle,

· including build, test, and deployment.

• Implements reusable tools and self-service capabilities with automated infrastructure operations,

· improving the developer experience and productivity.

• Performing operations tasks such as monitoring application performance over time or

· troubleshooting issues with production applications.

• Monitoring network performance to ensure that the platform can handle increased traffic from new

· applications or services.

• Designing, building, and maintaining the systems underlying an application platform.

• Developing new technologies to support existing applications or creating new applications using new

· technologies.

• Maintains and ensure Platform adheres to SLA.

• Provides Templates for Tenants’ consumption

• Provides and documents SOPs, Playbooks/Runbooks

About You:

• Experience with implementing containerization technologies such as Redhat Openshift/Kubernetes

• Experience with working on hybrid environments such as AWS/On-prem

• Experience with automation tools such as Ansible/Terraform/AWS Cloud Formation

• Experience with SAST/DAST tools such as Sonarqube/Fortify SCA/Webinspect

• Experience with installation and configuration of PostgreSQL databases

• Experience with installation and configuration of Redhat SSO

• Experience with load balancing setup for TCP/IP/HTTP/DNS/routings

• Knowledge of IT security standards such as CIS

• Knowledge of machine learning and setup of MLOps tools such as H2O

• Good knowledge of hardware technologies, such as NAS/SAN/Nutanix

Desired Background:

• Diploma/Degree in Electrical Engineering, Computer Science, Communications Engineering or

· equivalent

• Minimum 1 year in Platform engineer role or similar role in server infrastructure setup

• Experience in software-defined/hardware infrastructure (VSphere, Nutanix).

• Knowledge with infrastructure provision tools (Docker, Ansible etc.).

EA License No: 11C4879 / Registration ID : R1218583

Apar Technologies Pte Ltd, Singapore

Job Description

• Hands on experience in building and deploying production-level data-driven applications and data processing workflows/pipelines and/or implementing machine learning systems at scale in Python and deliver analytics involving all phases like data ingestion, feature engineering, modelling, tuning, evaluating, monitoring, and presenting.
• Proven experience in developing and deploying machine learning solutions using SageMaker, Python, TensorFlow, PyTorch, Scikit-learn, or other frameworks and libraries.
• Solid understanding of machine learning concepts, techniques, and best practices such as data preprocessing, feature engineering, model selection, hyperparameter tuning, validation, testing, challenger models, and MLOps.
• Hands on experience in NLP use cases.

EA Number: 11C4879

Responsibilities:

• Work closely with data product team and business end-users to implement and support data platforms using best-of-breed technology and methodology.
• Design and build robust and scalable data ingestion and data management solutions for batch-loading and streaming data sources.
• Enable ingestion checks and data quality checks for all data sets in the data platform and ensure the data issues are actively detected, tracked, and fixed without breaching SLA.
• Work with members in the team to establish best practice and internal processes to enhance the data pipeline operations.
• Coach junior team members through architecture design review and code review.

Requirements/Skillset:

• At least 5 years of experience working as a data engineer or backend developerin a big data field.
• Solid working knowledge of implementing the optimal data structures and algorithms to create efficient and scalable applications in Java or Python.
• Experience in application integration with Snowflake, Oracle and MS-SQL.
• Experience in the Systems Development Life Cycle implementation methodology (SDLC) and/or agile methodologies like Scrum and Kanban.
• Hands-on experience of using Linux (or Unix-like OS) as the development environment and familiar with shell scripts and command line tools.
• Understand and apply the good industry practice of code versioning, testing, CICD workflow and code documentation.
• Familiarity with AWS services will be an added advantage.
• Good team player, with strong analytical skills and enjoy complex problem solving with innovative ideas.
• Good communication and people skills required to interact with data analysts, business end-users and vendors to design and develop solutions.
• Good at working with details and is meticulous for operations.

EA License Number : 11C4879

Summary:

The Data Engineer will work with engineering and business stakeholders to gather requirements before designing, developing, and maintaining purpose-built data pipelines and data models. The ideal candidate will have a strong background in building Extract-Load-Transform (ELT) or Extract-Transform-Load (ETL) data pipelines.

Responsibilities:

• Work closely with stakeholders to understand their requirements.
• Design, develop, and maintain data pipelines and data models.
• Continuous optimization of data pipelines and data models.
• Support operational needs of data pipelines and data models

Mandatory Skills

• Possess a degree in Computer Science/Information Technology or related fields.
• At least 3 years of experience in a role focusing on data pipelines.
• Experience in building on data platforms (e.g. Snowflake, Redshift, Databricks).
• Experience in Continuous Integration and Continuous Deployment (CICD).
• Experience in Software Development Life Cycle (SDLC) methodology.
• Experience in data warehousing concepts.
• Strong problem-solving and troubleshooting skills.
• Strong communication and collaboration skills.
• Proficient in SQL and Python.

Good to have:

• Experience in building on data transformation frameworks (e.g. dbt, Dataform).
• Cloud environments (e.g. AWS, GCP, Azure).
• Big data technologies (e.g. Spark).
• Data platform migration.

EA License Number : 11C4879

Job Description

• Strong understanding of DevOps principles and experience with CI/CD pipelines.
• Knowledge in source code management tools such as Git and GitHub, and experience with branching and merging strategies.
• Familiarity with containerization technologies such as Docker and Kubernetes.
• Experience in Cloud computing platforms such as AWS, including EC2, S3, Lambda, Glue and RDS.
• Good understanding of infrastructure as code principles and experience with tools such as Terraform or Cloud Formation.
• Experience in Level 2 issue troubleshooting.

EA Number: 11C4879

Accountabilities include but not limited to:

• Managing risk-mitigating activities within the programs
• Supporting high-priority efforts, including issue remediation, strategic initiatives and process enhancements
• Supporting coordination and management of regulatory inquires, audits, exams and providing response guidance to Front Line Units (FLU), Control Functions (CF) and Entity partners
• Engaging with business partners in both US and international locations to represent programs and corresponding requirements
• Understanding regulatory and internal issues management protocols and processes
• Identifying emerging issues and proactively managing functional and internal timelines, as well as risks, issues and dependencies
• Maintaining effective reporting and communication routines to achieve understanding of oversight activities
• Supporting policy and standard adherence activities and oversight routines, including assessment of laws, rules and regulations
  

Required Skills:

• 3-5 years of relevant work experience in business controls, governance and/or risk management.
• Ability to be flexible in support of the maturing organization with an enterprise scope and mandate.
• Highly organized with the ability to prioritize competing demands, including the ability to prioritize work and meet deadlines.
• Ability to appropriately influence key stakeholders and partners, and effectively challenge when necessary.
• Strong business centric mindset with ability to utilize sound business judgment and tailor approach to drive optimal business outcomes.
• Effectively communicate to inform, influence, and resolve key issues in a timely manner with all levels of the organization

Desired Skills:

• Work experience in exam and/or regulatory management
• Understanding of outsourcing (third party/inter-affiliate) requirements, including contracts, services, and change management
• Understanding of Inter-affiliate Service relationships between legal entities of the Company
• Understanding of enterprise lines of business and global operations 
• Familiarity with the Enterprise Services Taxonomy

EA License Number : 11C4879