Total 715 assistant manager job vacancies in Information Technology category in Indonesia

Responsibilities

• In charge of perform regular checks in inventory software system to ensure inventories are in place
• responsible in perform regular repairs and maintenance of yard and workshop tools and equipment
• Maintenance of the tool room through 5S initiatives and good housekeeping practices

Requirement

• Min Nitec in Engineering and relevant
• Min 1 year of working experience in tooling and vehicle maintenance with experience in inventory system and Microsoft Office suite
• Class 3 driving license required

To submit your application, please apply online to apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd
EA License No: 17C8900

A career in our Risk Services, within Information Technology Risk Services, will  allow you to develop and apply strategies that help clients leverage  enterprise technologies so they can get a higher return on their investment,  mitigate risks, streamline processes, and find operational inefficiencies. We  assist clients in understanding and challenging their current risk profiles  and develop strategies to build digital confidence by embracing opportunities  to stay competitive through building trust and resilience into their  technology systems. We cover a wide range of disciplines, including risk  evaluation, operational and strategic Information Technology processes, project  governance, application implementation, data integrity, cyber security, and  accounting/audit.

Our team helps organisations analyses and assess the security environment and  application of our client’s information technology systems. You’ll help  develop strategies to increase the reliability of system outputs, enhancing  systems security and integrity, and developing strategies for ongoing maintenance.  Together we can build trust in society and solve important problems.

Position Overview:

We are seeking a dedicated and experienced Incident Response & SOC Compliance Specialist to join our dynamic security team. The ideal candidate will have 2–5 years of experience in a Security Operations Centre (SOC) environment, with a strong track record in incident response, breach investigations, and SOC standards compliance. In this role, you will develop and maintain compliance policies, orchestrate incident response efforts, conduct breach investigations, and utilise DFIR tools to gather and analyse digital evidence. Success in this position requires strong analytical skills, effective communication, and the ability to work with both technical and non-technical stakeholders.

Key Responsibilities (Essential)

Incident Response & Breach Investigations

• Coordinate and lead incident response activities (triage, containment, eradication, and recovery).

• Investigate and document security breaches, performing root cause analyses and recommending remediation.

• Leverage DFIR tools (e.g., EnCase, FTK, Autopsy) to identify, collect, and analyse digital evidence, ensuring proper chain of custody.

• Develop and maintain incident response documentation, including playbooks, reports, and after-action reviews.

SOC Compliance & Policy Management

• Create, implement, and update SOC compliance policies and procedures in alignment with relevant standards.

• Conduct regular audits and assessments to ensure adherence to SOC requirements and identify areas for improvement.

• Collaborate with cross-functional teams to integrate compliance controls into operational workflows.

Security Monitoring & Analysis

• Utilise SIEM solutions (e.g., RSA NetWitness, QRadar, ArcSight, Splunk) for continuous monitoring, threat detection, and compliance reporting.

• Analyse logs, alerts, and threats to proactively detect and investigate potential security incidents.

• Communicate effectively with technical and non-technical stakeholders, providing clear updates on incidents, risks, and compliance requirements.

• Deliver training programmes to enhance incident response readiness and compliance awareness across the organisation.

• Stay current with industry regulations, best practices, and emerging threats to maintain robust incident response and compliance capabilities.

• Identify and drive continuous improvement initiatives within the incident response framework and SOC compliance processes.

Qualifications & Skills

• Bachelor’s degree in Information Security, Computer Science, or a related field.

• 2–5 years of experience working in a SOC environment, including hands-on incident response.

• Practical experience with other DFIR tools or forensic analysis methodologies.

• Proficiency with SIEM solutions (e.g., RSA NetWitness, QRadar, ArcSight, Splunk).

• Familiarity with Governance, Risk, and Compliance (GRC) tools (e.g., RSA Archer).

• Demonstrable analytical and problem-solving skills with attention to detail.

• Excellent communication skills to engage effectively with stakeholders at all levels.

• Relevant certifications such as CISA, CISSP, or CISM are a plus

• Incident handling or forensics certifications (e.g., GCIH, GCFA, GCFE, EnCE).

• Familiarity with incident response frameworks (e.g., NIST SP 800-61, SANS).

• Experience with scripting languages (e.g., VBA, Python) for automation and analysis will be advantageous.

At PwC, we help clients build trust and reinvent so they can turn complexity into competitive advantage. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help clients build, accelerate and sustain momentum. Find out more at www.pwc.com.

Join PwC's Cybersecurity & Privacy practice in Singapore as a Data Security Manager. We are seeking an experienced professional to guide top-tier clients, mentor a growing team, and serve as a subject matter expert. This role bridges the gap between technical implementation, strategic advice, and regulatory compliance, focusing on Data privacy regulations such as PDPA, modern DLP and data classification technology, and secure cloud architecture. 

Key Responsibilities 

• Lead data security engagements from strategy and roadmap development to final delivery. 

• Architect and advise on technical controls, including: 

• Data Discovery & Classification 

• Data Loss Prevention (DLP) 

• Encryption technologies and Key Management 

• On Premise and Cloud data security  

• Translate regulatory requirements (such as PDPA, GDPR and other regional / global regulations) into actionable technical and operational controls. 

• Mentor, coach, and develop junior consultants, fostering their careers and building team capability. 

• Support business development by building client relationships and contributing to proposals. 

Required Experience & Skills 

• 7+ years in cybersecurity with a focus on data security and protection. 

• Expertise and experience in Data Protection regulations is required. 

• Proven client facing and project delivery experience, preferably in professional services. 

• Experience with data security technologies: Data Classification, DLP, Encryption, IAM, data security in cloud platforms (AWS, Azure, and GCP). 

• A passion for mentoring and developing teams. 

Preferred Qualifications 

• Tertiary degree in a relevant field (e.g., IT, Cybersecurity, Computer Science). 

• Certifications such as CISSP, CISM, CIPP, CDPSE. 

• Cloud security certifications (AWS, Azure, GCP). 

• Experience in Financial Services (MAS requirements), Technology, or Public Sector. 

• A track record of contributing to business development efforts.

Job Summary

Reporting to senior leadership, we are seeking an experienced Software Development Manager (AI-focused) to lead our AI and software engineering teams in building, deploying, and scaling production-grade, machine learning-driven multimodal AI solutions. This role oversees the end-to-end acquisition, development, and delivery of AI-centric software systems across all organizational units, ensuring solutions are high-quality, scalable, secure, and aligned with our business innovation and AI product roadmap. You will lead technical strategy, drive engineering excellence, and manage cross-functional initiatives to deliver industry-leading AI products.

Key Responsibilities

1. Lead and manage the AI software development team on a daily basis, setting clear goals, priorities, and performance expectations.
2. Plan project timelines, allocate resources effectively, and ensure on-time, on-budget delivery of AI software solutions and product initiatives.
3. Participate in system architecture design and key technical decisions for AI/ML systems, multimodal model deployment, and distributed AI platforms.
4. Drive continuous process improvements, including scaling Agile/Scrum, DevOps, MLOps, and CI/CD practices across the engineering organization.
5. Collaborate closely with product, design, QA, data science, and research teams to align technical delivery with product and business objectives.
6. Monitor project progress, quality, and risks proactively, implementing corrective actions to mitigate issues and ensure delivery excellence.
7. Recruit, mentor, and develop high-performing team members, fostering career growth and technical excellence within the engineering organization.
8. Cultivate a high-performing, inclusive, and positive team culture that prioritizes innovation, quality, and continuous learning.
9. Oversee the acquisition and development of AI software systems across all organizational units, ensuring consistency with technical standards and security best practices.
10. Monitor the results, performance, and quality of all AI software solutions and projects implemented within the organization, driving data-driven improvements.
11. Oversee the end-to-end development of Proof-of-Concept (PoC) initiatives and AI solutions, validating technical feasibility and business value for production scaling.
12. Provide deep technical expertise on software and platform feature development for AI systems, ensuring that appropriate security, compliance, and risk factors are fully addressed in all development work.

Qualifications

1. Master’s degree or higher in Computer Science, Information Technology, Programming & Systems Analysis, Science (Computer Studies), or a related engineering/technology faculty.
2. Experience Requirement: Minimum 5+ years of hands-on software development experience, with at least 2+ years of formal team management experience leading software engineering teams.
3. Technical Proficiency: Strong proficiency in mainstream programming languages (e.g., Python, Java, Go, C++) and modern software development tools, cloud platforms (AWS/GCP/Azure), and distributed systems.
4. AI/ML Expertise: Demonstrated experience building, deploying, and scaling AI/ML systems, large language models (LLMs), or multimodal AI solutions in a production environment.
5. System Architecture Expertise: Strong system design and architecture capabilities, with a proven track record of designing scalable, secure, and resilient AI software platforms.
6. Agile & DevOps Mastery: Deep familiarity with Agile methodologies (Scrum/Kanban), DevOps, MLOps, and CI/CD practices for enterprise software development.
7. Cross-Functional Leadership: Excellent communication, stakeholder management, and cross-functional collaboration skills to align technical and business teams.
8. Analytical & Problem-Solving Skills: Strong analytical, problem-solving, and decision-making abilities to resolve complex technical and operational challenges.
9. Preferred Qualifications: Experience with large-scale distributed systems, AI model deployment, cloud-native architectures, or enterprise AI product development is highly preferred.

Key Competencies

• Leadership and high-performing team management
• Deep technical breadth and depth in AI software development
• Results-driven, delivery-focused mindset
• Exceptional communication, coordination, and stakeholder management skills
• Strategic thinking and ability to align technical work with business goals

Situated in the heart of Singapore's Central Business District, Rakuten Asia Pte. Ltd. is Rakuten's Asia Regional headquarters. Established in August 2012 as part of Rakuten's global expansion strategy, Rakuten Asia comprises various businesses that provide essential value-added services to Rakuten's global ecosystem. Through advertisement product development, product strategy, and data management, among others, Rakuten Asia is strengthening Rakuten Group's core competencies to take the lead in an increasingly digitalized world. 
 
Rakuten Group, Inc. is a global leader in internet services that empower individuals, communities, businesses, and society. Founded in Tokyo in 1997 as an online marketplace, Rakuten has expanded to offer services in e-commerce, fintech, digital content, and communications to approximately 1.7 billion members around the world. The Rakuten Group has nearly 32,000 employees and operations in 30 countries and regions. For more information visit https://global.rakuten.com/corp/. 

The AI & Data Division (AIDD), creates powerful, customer-focused search, recommendation, data science, advertising, marketing price, and inventory optimization solutions to a variety of businesses in Rakuten group.  As part of AIDD, AILab builds new solutions that have the potential to transform how users interact with Rakuten service. Our goal is to drive innovation by developing new products and capabilities that deliver significant impact over longer timeframes using AI. 

We are building the next generation of AI-powered shopping experiences — autonomous agents that search, compare, reason, and transact on behalf of users. As Technical project manager for Agent Development, you will ensure that cross-functional teams deliver on time, within scope, and at quality.  

Core responsibilities 

Program planning & execution 

• Build and maintain master program plans covering all workstreams: model development, API integrations, front-end, QA, and data pipelines 

• Define milestones, dependencies, and critical path across multiple concurrent agent projects 

• Run sprint planning, backlog grooming, and quarterly planning ceremonies across engineering and ML teams 

• Track and report program status, risks, and blockers to leadership on a weekly cadence 

Delivery management 

• Budget management 

• Drive on-time delivery of agent features 

• Identify scope creep early and facilitate trade-off decisions with product and engineering leads 

• Manage release schedules, coordinate UAT, and own go-live checklists for each agent launch 

• Maintain a risk register and ensure mitigation plans are in place and actioned 

Process & tooling 

• Prepare and present program dashboards, steering committee updates, and executive briefings 

• Facilitate alignment meetings, decision logs, and RACI documentation to keep accountability clear 

• Define and continuously improve PM processes, templates, and ways of working for the agent development team 

• Own the team's project management tooling (Jira, Confluence, or equivalent) — structure boards, set up workflows, and ensure hygiene 

• Conduct retrospectives and translate learnings into process improvements 

Required qualifications 

• 5+ years of technical program or project management experience, delivering large-scale software products 

• Strong command of project management fundamentals: work breakdown structures, dependency mapping, critical path analysis, risk management, and stakeholder reporting 

• Experience managing programs or projects that involve API integrations, data pipelines, or ML model deployments 

• Excellent written and verbal communication; skilled at producing clear status reports and exec summaries 

• Proficiency with project management tools (Jira, Asana, Linear, Confluence, or similar) 

Nice to have 

• Familiarity with LLM or AI agent development cycles — enough to ask the right questions and spot risks 

• Experience running programs across both agile and waterfall workstreams simultaneously 

Job Description: Lead Data EngineerRole OverviewWe are looking for a Lead Data Engineer to design, build, and scale our data automation and ingestion capabilities. This role will play a critical part in shaping how data is collected, processed, and operationalized across the organization.You will lead the development of scalable, reusable data collection and processing systems using Python-based pipelines, APIs, and workflow-driven automation primarily focussing on data automation, pipeline reliability, and production-grade model execution.This is a hands-on role for an experienced data engineer who enjoys building robust systems, improving standards, and partnering closely with analytics, backend, UI, and data operations teams.Key ResponsibilitiesData Ingestion & AutomationDesign and develop scalable, reusable data ingestion systems using Python, APIs, web scraping, and file-based ingestion.Build and maintain data collection methods for diverse data types and sources, including APIs, Excel, flat files, HTML etc.Ensure ingestion pipelines are automated, fault-tolerant, and self-healing, minimizing manual intervention.Pipeline Integration & ExecutionIntegrate ingestion pipelines with enterprise data storage and processing layers.Leverage Decisions (workflow automation software) and internal workflow services to orchestrate and execute data transformation and manipulation workflows.Partner with internal platform and workflow teams to ensure pipelines run consistently at scale.Data Quality, Governance & StandardsDefine and enforce data quality checks, validation rules, and reconciliation logic across pipelines.Ensure strong data governance and cross-system alignment, working closely with backend, analytics, and UI teams.Establish and promote development standards, including Script and module structure, Logging, error handling, Unit testing and validation frameworksReduce technical risk and future rework through consistent engineering practices.Model Operationalization & Data Ops EnablementWork closely with Data Ops and Analytics teams to help transition Python-based models from: Analyst-led prototypesTo production-ready, scalable, and reliable operational modelsEnsure models can be executed efficiently within workflow-driven environments (e.g., Decisions), with proper dependency management, performance optimization, and monitoring.Enable end-to-end execution of data pipelines and models, supporting growing data volumes and increased execution frequency.Provide Technical leadership, Guiding design decisions, reviewing code and architectureRequired Skills & ExperienceSenior-level data engineer (typically 10+ years), with strong hands-on experience and the ability to lead and shape systems rather than just implement tasks.Strong hands-on experience with Python in production data engineering environments.Proven experience building data ingestion pipelines, ETL/ELT-style processes, and automation frameworks using code (not GUI-based tools).Strong knowledge of data manipulation and scraping libraries, including Pandas, NumPy, Requests, BeautifulSoup and Selenium (or similar browser automation tools)Experience working with APIs, authentication mechanisms, and structured/unstructured data formats.Solid understanding of data quality, validation, and governance practices.Experience designing pipelines that are Scalable, Reliable, Idempotent, Easy to monitor and debugFamiliarity with workflow-based execution and orchestration concepts.Strong ability to collaborate across teamsAbility to translate analytical needs into robust, production-grade data solutions.

职位 (Job Position)：IT Network Cabling Assistant / IT网络布线助

学历 (Education): No preference

底薪 (Basic Salary)：SGD$1600

津贴 (Housing Allowance): SGD$200

加班 (OT)：As required for weekdays/Saturday /按照工作日/周六的要求

工作时间 (Working Hours)：830am-6pm

休息日 (Off Day): Saturday 0.5 day work and Sunday /周六和周日

年假 (Annual Leave)：7 Days / 7天

经验 (Working Experience):Yes with cabling and installation skill /有布线和安装技巧

Other job duties :-

-Cleaning and Maintenance of office

-any other adhoc assignment required by the supervisor

• Plan and execute marketing initiatives for AI data center and immersion cooling solutions.
• Create professional content: presentations, solution briefs, case studies, and digital/LinkedIn materials.
• Drive local campaigns, webinars, and events to generate leads and strengthen client engagement.
• Collaborate closely with sales and technical teams to develop customer-facing materials and proposals.
• Represent the company professionally at client meetings and industry events.

Requirements:

• Degree in Engineering, IT, Marketing, Business, or equivalent
• At least 5 years of B2B marketing experience in data centers, IT infrastructure, AI/GPU platforms, or cooling solutions.
• Solid understanding of data center operations, rack layouts, cooling technologies, and GPU-based AI systems.
• Ability to translate technical concepts into clear value propositions for non-technical stakeholders.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to hr@recruit-expert.com

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740

Project Manager 
Working hours : 5.5 days (Weekday 830AM - 530PM ; Saturday 830AM-1230PM)
Working location: Pioneer (Transport provided in Jurong)
Salary: $3500 - $6000

Job Summary: 

The Project Manager is in charge of a range of projects undertaken by the organisation, and is responsible for ensuring complete product delivery and handover according to respective project scope specifications and standards.

They plays a strategic role in managing the organisation’s many projects, and is responsible for defining project scopes, objectives, plans and performance measuring criteria to ensure the completion of project deliverables according to required standards and client expectations. This candidate also leads project reviews to identify synergies and areas of improvement across the portfolio of projects.

Job Description:

• Oversee project plans and execution
• Manage project risks
• Manage project resources
• Manage warranty claims and variation orders
• Lead project reviews
• Manage project quality
• Manage the organisational project management functional

Requirement:

• Relevant experience in project management, preferably within marine / engineering / ship repair industry.

• Relevant Diploma / Degree in Engineering, Project Management, or related field preferred.