Total 247 system engineer job vacancies in D02 Anson, Tanjong Pagar

• Experience in handling support & installation for Finacle 10.x environments including troubleshooting and configuring new services
• Ability to take ownership of deliverables and engaging all stakeholders
• Proficient in N-tier architecture for Finacle, high availability concepts
• Proficient in writing SQL queries in Oracle/PostgreSQL for troubleshooting issues and preparing data for issue analysis and reporting
• Hands on with Unix/Linux commands
• Basic proficiency in Middleware technologies like WebSphere Application Server and JBOSS
• Hands on experience in automating some of the routine tasks in environment management
• Experienced in handling patching of Finacle, OS, MW and database components. Should be able to perform impact assessment and co-ordinate the tasks with various supporting units like OS support, DB support, Middleware support, etc.
• Familiar with environment maintenance tasks like source refresh across environments, data refresh across environments and familiar with CICD concepts

Requirements
Finacle 11.x experience. Should have 6+ Years of Experience

Knowledge of Kafka, Redis and PostgreSQL

End to end setup experience in Finacle in versions 10.x or 11.x

Production environment support and familiarity with change management process

JD for System Administrator

The main purpose of the role is to support the system administration part to carry out day to day task of troubleshooting and deployments as scheduled. This role reports into the Local SHE IT manager and Global ITS workplace team and works closely with different stakeholders to ensure smooth running IT/IS operation.

Core Mission:

• Support L1/L2 incidents or request raised end user.

• Deploy new computer images as companies’ standard using SCCM

• Co-Ordination with suppliers on parts replacement or repair activity

• Update all computer asset in CMDB or keep tracking asset in excel as per companies’ guidelines

• Support network related incident raised

• Support all L1/L2 ticket raised

• Support and troubleshoot printer and label printers

• Installation and deployment of Windows-10 and Windows-11 Operating System

• Installation of PC based software like – Office, Bartender, CodeSoft,etc

• Manage and keep track of all software and hardware assets.

• Keep track of asset allocation to users and shared resource

• Support Conference room and Barco Devices

Requirements:

• Good knowledge on Windows environment/Operating system Installations

• L1/L2 support for handling all service request and Incidents raised in helpdesk Tool

• Good Knowledge on SCCM Software deployment, Application installations

• Good knowledge on applications installations Like – Catia tools , inhouse tools or engineering apps installations etc.

• Coordination with Vendor for defective part replacement of workstation, Laptop

• Basic understanding of networking concepts(TCP, UDP, Routing)

• Good Command on troubleshooting of Windows OS related issues.

• Good knowledge on Scripting shell –Like – power shell or any other tool added advantage

• If any certification of MCP or MCITP-(Microsoft Certified IT Professional) added advantage

• The minimum experience will be 1 to 2 Years.

•Bachelor/Master degree in Engineering or Computer science

•10+ years of experience in design and implementation of enterprise systems in banking domain, preferably private banking/wealth management

•Knowledge of architecture frameworks like TOGAF or Zachmann

•Strong collaboration skills across hierarchy levels and organizational boundaries

•Very good knowledge and experience in modern web technologies
•Proficiency in enterprise technologies such as Java EE, spring boot, databases like Oracle, MySQL and PostgreSQL, integration technologies like IBM MQ, IBM Integration Bus, event streaming platform like Apache Kafka

•Domain Knowledge on Financial / Capital Markets is a plus.

•Knowledge on Data Policy and Standards: Establishing data policies and standards to align with business objectives and technological capabilities is good to have

•Experience in implementing cloud native applications

•Experience in implementing DevOps principles in the organisation

•Experience in implementing Machine Learning based solutions is good to have
•Able to explain designs and solutions to developers and business users alike

•Strong leadership skills in matrix organizational setup, ability to lead, mentor and coach team members and developers.

•Passionate and efficient self-learner in order to adopt new technologies and methodologies to create business value

Job Summary

Responsible for management of Asia Quality System, Policies, Programs and Initiatives. Part of the Global Quality Team to maintain global quality system and drive global initiative.

Role and Responsibilities

Quality System

1. Develop, implement and maintain QMS documentation to maintain compliance with applicable standards such as ISO 9001, ISO 13485 or GMP

2. Monitor regulatory changes and update the QMS accordingly

3. Conduct internal audits and support external audits (external auditing bodies, suppliers and customers)

4. Analyze quality data and metrics to identify trends and areas for improvement

5. Collaborate with cross functional teams to ensure that the quality standards are integrated into processes

Management Representative

1. Reports on QMS performance to top management and recommend improvement

2. Point of contact for certification bodies

3. Lead Management Review and follow up action items

Product Quality Management

1. Analyze and capture recurring product complaints, collaborate with Operation and Technology teams to address compound specified failures

2. Operational Quality Support. To facilitate continuous improvement initiatives, by providing on the floor support through use of quality tools and coaching teams to build ownership and proactive engagement with quality processes.

Customer Complaints Management

1. CCAR Manager. Manage the customer complaints handling process to ensure that all complaints are logged with right information for investigation till auditing process

2. Collaborate with cross functional team during the investigation, resolution and communication of customer complaints

3. Review interim CCAR reports to ensure that root cause is data driven and corrective action(s) address the root cause

Supplier Complaints Management

1. SCAR Manager. Approve SCAR – Supplier related complaints and defects, review and monitor the effectiveness of corrective actions

2. Collaborate with Procurement, Supplier and internal stakeholders to investigate issues and resolution

3. Collaborate with Procurement, Operation and Technology to assess risk and quality impact of raw material on finished goods

Global Quality Team Collaboration

1. Support the implementation of global quality initiatives, systems and tools

2. Ensure that local QMS aligns with global practices and corporate policies

3. Share best practices and lessons learned across global sites

Support Quality Contracts/Documentation

1. Review customer documents and quality related agreements for compliances to ensure clauses are relevant, assess the risks.

2. Response to customer request for certifications, compliance/quality related/audit documents

System

1. Conduct training for staff in Quality Procedure, Standards and Tools.

2. Lead processes identified by the Global Quality Team such as PPAP, QIR, CCAR, SCAR and Mastercontrol for the Asia Region

Requirements:

· Degree or equivalent experience in a field of study such as chemistry, business, accounting, engineering, etc.

. Have knowledge of chemical production process in manufacturing environment

· Certificate in Quality Engineering is preferred. 6 Sigma certified will be at advantage

· 2-6 years of quality management experience.

· Demonstrates introductory understanding and ability and with guidance, applies competency in typical situations.

· Able to design quality systems to meet customer expectations and internal needs. New approaches and continuous improvement must be ongoing.

· Good experience into customer & supplier audit and able to conduct training

· Good interpersonal skills to be able to communicate and collaborate with all stakeholders and deal with situation proactively

· Occasionally overseas travel and weekly conference call is required for the role

· This position required to communicate closely with vendors and counter part in China.

Working hours:

Mon to Fri 8.30am - 5.30pm ( 1 day hybrid )

Job Summary:

The role involves providing comprehensive technical support and maintenance for operating systems, middleware, databases, LDAP, and container orchestration platforms. The candidate will be responsible for deploying, configuring, and managing these systems to ensure smooth operations in development and testing environments. In addition to hands-on technical tasks, the role requires supporting bid activities by producing infrastructure sizing and deployment topology, coordinating with cross-functional teams, and leading infrastructure-related discussions to enable effective planning and deployment at the customer site.

Key Roles and Responsibilities:

⦁ Provide support and maintenance for operating systems, including Windows, Linux, and IBM AIX, Solaris.

⦁ Deploy, configure and maintain middleware infrastructure, including IBM WebSphere, IBM MQ, Red Hat JBoss Enterprise Application Platform, and Red Hat JBoss AMQ.

⦁ Install, configure, and manage database servers, including IBM DB2, PostgreSQL, MySQL.

⦁ Install, configure, and maintain LDAP servers, including IBM Security Directory Server and Apache LDAP.

⦁ Install, configure, and maintain container orchestration platforms, including Kubernetes and Red Hat OpenShift Container Platform (OCP) clusters.

⦁ Handle technical matters such as troubleshooting, patching, and upgrading systems, both operating systems and middleware.

⦁ In addition to hands-on technical responsibilities, support bid activities by providing infrastructure sizing, coordinating with cross-functional stakeholders, and leading end-to-end technical discussions related to infrastructure planning and deployment.

Job Requirements and Qualifications:

⦁ Minimum 5-8 years of IT experience.

⦁ Ideally, exposure to both operating system and middleware administration.

⦁ Solid understanding of application architecture, covering authentication, web server, database servers, application servers, and messaging servers.

⦁ Proficient in Unix Shell scripting.

⦁ Hands-on experience with containerization technologies like Docker, Kubernetes, and OpenShift.

⦁ Eagerness to explore legacy systems and embrace new cloud platform services, along with a positive attitude to join the team on this journey.

⦁ Possession of any cloud certifications (e.g., AWS, Azure, GCP, or Red Hat) will be advantageous.

⦁ Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders.

Client introduction

Our client is a long-established professional services and business solutions group in Singapore. With more than 30 years in the market, they serve a broad client base across accounting, tax, advisory, payroll, corporate services and technology consulting. The firm holds recognised security and data accreditations (including ISO 27001 and a national Cyber Trust mark), so infrastructure standards and security posture sit at the centre of how they operate. They are now investing in IT capability and are looking for a hands-on engineer to lead build and implementation work rather than keep-the-lights-on support.

Job responsibilities

• Lead the design, build and implementation of Windows-based infrastructure from the ground up, including full tear-down and rebuild of existing environments where required.
• Stand up and configure Windows Server environments, Active Directory, Group Policy, DNS/DHCP and related core services as part of new builds and migrations.
• Plan and execute server and infrastructure migrations, consolidations and refreshes, including cutover planning and rollback.
• Build and configure virtualisation and storage layers (for example VMware or Hyper-V) as part of greenfield and rebuild projects.
• Implement and harden systems to meet the firm's security and compliance standards, including patching strategy, access controls and baseline configurations.
• Automate build, configuration and deployment tasks using scripting (for example PowerShell) to make environments repeatable and consistent.
• Produce build documentation, runbooks and as-built records, and hand over stabilised environments to support teams.
• Work with internal stakeholders and vendors to scope requirements and deliver implementation projects on time.

Job requirements

• Around 6 or more years of hands-on systems engineering experience, with a clear track record of implementation and build work (not primarily maintenance or service-desk).
• Strong Windows Server engineering depth: Active Directory, Group Policy, DNS, DHCP, certificate services and related infrastructure.
• Backgrounds in systems integration, IT consulting or managed services are well-suited to this role, given the breadth of hands-on implementation exposure these environments provide.
• Demonstrable experience building environments from scratch and / or rebuilding existing ones, with examples you can talk through in detail.
• Solid virtualisation experience (VMware and / or Hyper-V) and a working understanding of storage and networking fundamentals.
• Scripting and automation capability, ideally PowerShell, for repeatable deployments.
• Comfortable owning the engineering side of a project end to end, from design through to cutover and documentation.
• Exposure to Microsoft 365 / Azure and to security hardening or compliance-driven environments is an advantage.

Why you should join them

• A genuine build mandate. This is an implementation-led role where the work is designing and standing up infrastructure, not maintaining a static estate.
• Real project ownership, with the autonomy to make engineering decisions rather than follow a runbook written by someone else.
• A stable, well-established firm with strong security and compliance accreditations, so good engineering practice is valued rather than cut.
• Broad technology exposure across a multi-service business, with room to grow into infrastructure leadership.

JL
Reg. No. R1766249
BeathChapman Pte Ltd
Licence no. 16S8112

Functional/ Technical

• Design, develop and deploy machine learning solutions and services
• Implement end-to-end machine learning pipelines from data ingestion to training and model serving
• Operationalize LLMs, embeddings, and multi-agent systems in real-world applications
• Manage the machine learning and model lifecycle (experimentation, registry, deployment)
• Oversee the model promotion lifecycle, coordinating validation gates and approval workflows to safely deploy new model versions from stating to production
• Containerize applications using Docker and orchestrate them via Kubernetes
• Build and maintain CI/CD pipelines for ML models and LLM applications
• Collaborate with data scientists to refactor research code into production-ready Python code
• Monitor model performance, data drift, and performance in production
• Assess and integrate AI solutions ensuring optimal performance and reliability
• Design and implement production grade RAG systems
• Collaborate with infrastructure teams, data engineers, data scientists, and other stakeholders to integrate machine learning solutions into existing systems and processes
• Participate in code reviews, testing, and debugging to ensure the quality and reliability of machine learning solutions

Competencies

• Strong problem-solving and analytical skills, with the ability to think critically and creatively about complex challenges
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders at all levels of the organization
• Ability to manage personal workloads effectively, to prioritize tasks, manage timelines, and deliver high-quality results on schedule
• Continuous learning mindset, with a passion for staying up to date with the latest advancements in machine learning and artificial intelligence
• Attention to detail and commitment to producing high-quality, reliable, and maintainable code

Education and skills requirements

• Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field
• Advanced proficiency in Python programming with a focus on writing clean, testable and efficient code
• DevOps & Containers: Proficient with Docker for containerization and working knowledge of Kubernetes (k8s) for orchestration
• Practical understanding of GPU architecture and cloud compute instances to optimize resource allocation for training and inference workloads
• MLOPS tools: hands on experience with MLflow (or similar tools like weights & biases) for experiment tracking and model registry
• Proven experience working with Large Language Models (LLMs)
• Good understanding of AI agents & agentic workflows, LLM orchestration frameworks and reasoning patterns
• Experience with data preprocessing, feature engineering, and model selection and evaluation techniques
• Hands-on experience with CI/CD pipelines (GitLab, Jenkins)
• Knowledge of statistical and mathematical concepts relevant to machine learning, such as probability, linear algebra, and optimization
• Excellent problem-solving and debugging skills, with the ability to identify and resolve issues quickly and effectively
• Relevant work experience in machine learning, data science or a related field

Functional/ Technical

• Design, develop and deploy machine learning solutions and services
• Implement end-to-end machine learning pipelines from data ingestion to training and model serving
• Operationalize LLMs, embeddings, and multi-agent systems in real-world applications
• Manage the machine learning and model lifecycle (experimentation, registry, deployment)
• Oversee the model promotion lifecycle, coordinating validation gates and approval workflows to safely deploy new model versions from stating to production
• Containerize applications using Docker and orchestrate them via Kubernetes
• Build and maintain CI/CD pipelines for ML models and LLM applications
• Collaborate with data scientists to refactor research code into production-ready Python code
• Monitor model performance, data drift, and performance in production
• Assess and integrate AI solutions ensuring optimal performance and reliability
• Design and implement production grade RAG systems
• Collaborate with infrastructure teams, data engineers, data scientists, and other stakeholders to integrate machine learning solutions into existing systems and processes
• Participate in code reviews, testing, and debugging to ensure the quality and reliability of machine learning solutions

Competencies

• Strong problem-solving and analytical skills, with the ability to think critically and creatively about complex challenges
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders at all levels of the organization
• Ability to manage personal workloads effectively, to prioritize tasks, manage timelines, and deliver high-quality results on schedule
• Continuous learning mindset, with a passion for staying up to date with the latest advancements in machine learning and artificial intelligence
• Attention to detail and commitment to producing high-quality, reliable, and maintainable code

Education and skills requirements

• Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field
• Advanced proficiency in Python programming with a focus on writing clean, testable and efficient code
• DevOps & Containers: Proficient with Docker for containerization and working knowledge of Kubernetes (k8s) for orchestration
• Practical understanding of GPU architecture and cloud compute instances to optimize resource allocation for training and inference workloads
• MLOPS tools: hands on experience with MLflow (or similar tools like weights & biases) for experiment tracking and model registry
• Proven experience working with Large Language Models (LLMs)
• Good understanding of AI agents & agentic workflows, LLM orchestration frameworks and reasoning patterns
• Experience with data preprocessing, feature engineering, and model selection and evaluation techniques
• Hands-on experience with CI/CD pipelines (GitLab, Jenkins)
• Knowledge of statistical and mathematical concepts relevant to machine learning, such as probability, linear algebra, and optimization
• Excellent problem-solving and debugging skills, with the ability to identify and resolve issues quickly and effectively
• Relevant work experience in machine learning, data science or a related field

About the job

ABOUT THE JOB

• Support and execute technology transfer for drug substance manufacturing
• Drive scale-up activities from lab to commercial production
• Collaborate with cross-functional teams to ensure smooth implementation
• Develop and optimize processes including purification, homogenisation, and cleaning processes for routine operations
• Provide technical guidance to site teams
• Lead and support validation activities including cleaning validation, water mixing validation, and risk assessments (e.g. extractables & leachables – E&L)
• Ensure compliance with GMP and regulatory standards
• Prepare and review validation protocols, reports, and technical documentation
• Support integration of single-use systems and new manufacturing equipment

ABOUT YOU

• Academic background: degree in engineering, life sciences, or related field
• Experience in commercial-scale GMP manufacturing (biologics drug substance)
• Strong background in tech transfer and process validation
• Hands-on experience with chromatography and filtration processes
• Proven experience in cleaning validation and water mixing validation
• Strong understanding of both manufacturing and quality perspectives
• Experience in lab-to-commercial scale-up
• Fluent English. Additional languages are a plus.
• You demonstrate strong problem-solving and stakeholder collaboration skills

WHY AMARIS?

• An international community bringing together 110+ different nationalities
• An environment where trust has a central place: 70% of our key leaders started their careers at the first level of responsibilities
• A robust training system with our internal Academy and 250+ available modules
• A vibrant workplace that frequently gathers for internal events (afterworks, team buildings, etc.)
• At Mantu, sustainability is part of everything we do. You’ll have the opportunity to turn your ideas into action and make a tangible impact. Every day, our teams bring our ESG commitments to life, from reducing our footprint to driving positive change within our communities. Through our WeCare Together program, you’ll be empowered to design and lead projects that create real social or environmental impact, with the company’s full support.

Job Summary

Responsible for management of Asia Quality System, Policies, Programs and Initiatives. Part of the Global Quality Team to maintain global quality system and drive global initiative.

Role and Responsibilities

Quality System

1. Develop, implement and maintain QMS documentation to maintain compliance with applicable standards such as ISO 9001, ISO 13485 or GMP

2. Monitor regulatory changes and update the QMS accordingly

3. Conduct internal audits and support external audits (external auditing bodies, suppliers and customers)

4. Analyze quality data and metrics to identify trends and areas for improvement

5. Collaborate with cross functional teams to ensure that the quality standards are integrated into processes

Management Representative

1. Reports on QMS performance to top management and recommend improvement

2. Point of contact for certification bodies

3. Lead Management Review and follow up action items

Product Quality Management

1. Analyze and capture recurring product complaints, collaborate with Operation and Technology teams to address compound specified failures

2. Operational Quality Support. To facilitate continuous improvement initiatives, by providing on the floor support through use of quality tools and coaching teams to build ownership and proactive engagement with quality processes.

Customer Complaints Management

1. CCAR Manager. Manage the customer complaints handling process to ensure that all complaints are logged with right information for investigation till auditing process

2. Collaborate with cross functional team during the investigation, resolution and communication of customer complaints

3. Review interim CCAR reports to ensure that root cause is data driven and corrective action(s) address the root cause

Supplier Complaints Management

1. SCAR Manager. Approve SCAR – Supplier related complaints and defects, review and monitor the effectiveness of corrective actions

2. Collaborate with Procurement, Supplier and internal stakeholders to investigate issues and resolution

3. Collaborate with Procurement, Operation and Technology to assess risk and quality impact of raw material on finished goods

Global Quality Team Collaboration

1. Support the implementation of global quality initiatives, systems and tools

2. Ensure that local QMS aligns with global practices and corporate policies

3. Share best practices and lessons learned across global sites

Support Quality Contracts/Documentation

1. Review customer documents and quality related agreements for compliances to ensure clauses are relevant, assess the risks.

2. Response to customer request for certifications, compliance/quality related/audit documents

System

1. Conduct training for staff in Quality Procedure, Standards and Tools.

2. Lead processes identified by the Global Quality Team such as PPAP, QIR, CCAR, SCAR and Mastercontrol for the Asia Region

Requirements:

· Degree or equivalent experience in a field of study such as chemistry, business, accounting, engineering, etc.

· Certificate in Quality Engineering is preferred.

· 4-6 years of quality management experience. Junior with 1-2 experience in related field can also apply

· Demonstrates introductory understanding and ability and with guidance, applies competency in typical situations.

· Able to design quality systems to meet customer expectations and internal needs. New approaches and continuous improvement must be ongoing.

· Good experience into customer & supplier audit and able to conduct training

· Good interpersonal skills to be able to communicate and collaborate with all stakeholders and deal with situation proactively

· Occasionally overseas travel and weekly conference call is required for the role

· This position required to communicate closely with vendors in China.

Working hours:

Mon to Fri 8.30am - 5.30pm ( 1 day hybrid )

Position Summary :

1. To provide Product technical support to production operations for areas of product engineering competencies and advocate industrial engineering best practices with support from multi-functional team ( MFT ).

2. Responsible for overall product performance and capability, new product introduction, equipment.

3. Responsible for product evolution and liaise closely with PDA on product roadmap.

4. Function as the main interface to Customers and be responsible for all quality issues of the product assigned. Drive actions with internal and external parties to decrease the rate of first-fit rejections.

5. Accountable for product root cause analysis of all quality/process issues by performing 8D analysis (FTQP) and driving the reactivity objective.

Main Tasks & Responsibilities :

1. Product & Engineering Competencies

- Accountable and responsible on managing product definition file and configuration

- Accountable and responsible on product evolution and stay active in IPT team

- To innovate, improve, implement, evaluate and sustain the engineering processes and capabilities

- To advocate engineering best practices supported by multi-functional team (MFT) and production to improve work processes and for optimum operational efficiencies.

- Responsible on Product Cost , focusing on : Design Authority Fee

- Improve internal technical competency, less dependent to DA and reduce Non-Quality cost

- Continuously to improve R1 and FPY improvement which is part of contributor of non-quality cost

2. IPT network communication & Co-operations

-Liaise with Design Authority, IPT for technical related matters to support Product performance and competitiveness.

3. Technical support

-Monitor & Escalate support effectiveness (with job prioritization) to Production Line Manager.

-Ensure adequate support to operation's requests and ensure adequate support given to production lines for Product evolution qualification, capability setup, and relevant technical supports as required.

a. New Product Introduction

• Accountable on Product & Technical work package

b. Customer Return & Investigation

• To lead and coordinate with MFT on the investigation findings and recommended corrective actions.

c. Product production process , sustaining and improvement

• Responsible for the established product manufacturing process by Method Engineering

• Accountable for product issues

• Perform Impact Analysis and work closely with IPT for product issue

d. Projects

• To initiate product continuous improvement plan with the support of MFT

e. To manage validation on supplier alert on product level with support of MFT

4. Continuous Improvement

- Lead/participate in product and process improvement projects (KAIZEN)

5. Internal support Key Performance Indicator

- To establish and maintain KPI ( R1 , FPY ) to measure support performance

- To establish and implement improvement action plan

Requirements:

• Diploma/ Degree in Aerospace/ Aeronautical/ Electronic/ Electrical/ Mechatronics Engineering or equivalent

• Minimum 2 years of relevant working experience in technical support function

• Experience in aviation industry will be added advantage

• Competence in interactive communication, problem solving and decision making are required.

• Excellent analytical and troubleshooting skills

• Proficient in Microsoft Office applications

About the role

We are hiring a Senior Site Reliability Engineer to help make k-ID reliable at scale.

This role sits in the middle of our production backbone. You will own and improve the systems that keep our platform available, observable, secure, and resilient as traffic grows and our client base expands globally. You will work across infrastructure, tooling, deployment workflows, incident response, and systems design to make sure we can scale without breaking.

This is not a ticket closing operations role. We want someone who can look at a system, find the weak points, and harden it. Someone who cares about failure modes, blast radius, deployment safety, recovery time, cost discipline, and the realities of running production systems under pressure. You should be comfortable writing code, automating away toil, and partnering closely with engineers to improve reliability through better architecture and better operating practices.

Responsibilities

• Own the reliability, availability, and performance of the systems behind k-ID’s platform and public APIs

• Design and improve scalable infrastructure on AWS and Kubernetes that can support high growth, uneven traffic, and global production workloads

• Build and maintain strong observability across logs, metrics, tracing, alerting, and service health so issues are caught early and investigated quickly

• Improve deployment safety through better CI and CD workflows, release controls, rollback paths, and environment consistency

• Drive incident response and production readiness practices, including runbooks, on call hygiene, postmortems, capacity planning, and resilience testing

• Reduce operational toil by automating repetitive work and improving internal tooling for developers and operators

• Partner with engineering teams to embed reliability and operability into service design from the start, not after something fails in production

• Strengthen platform security and infrastructure hygiene across access controls, secrets handling, system hardening, and production safeguards

• Continuously improve system performance, resource efficiency, and cost awareness without compromising reliability

Qualifications

• 5+ years of experience in infrastructure, platform engineering, site reliability engineering, or software engineering with meaningful production ownership

• Strong experience running production systems in AWS

• Strong hands on experience with Kubernetes and container based workloads

• Experience with infrastructure as code, preferably Terraform

• Experience designing and operating observability stacks using tools such as Prometheus, Alertmanager, Grafana, OpenTelemetry, or equivalent systems

• Strong understanding of distributed systems, failure modes, service reliability, and production debugging

• Experience building or improving CI and CD systems and release workflows in modern engineering environments

• Ability to write code and automation in one or more languages such as Go, Python, or TypeScript

• Good judgment during incidents and a practical mindset around tradeoffs, risk, and recovery

• Clear written and verbal communication skills with the ability to work effectively in a remote team

• Startup experience is a plus, especially in environments where systems and processes are still being built

Job Description & Requirements:

• To support the construction team for M&E engineering works.
• Planning / Scheduling and coordination of M&E works;
• Project coordination, supervision, and monitoring of the progress of site work.
• Coordinate M&E engineering work and work closely with other department staff to resolve site discrepancies and technical issues.
• Oversee and ensure works are carried out in accordance with the approved drawings, materials, and method statements.
• Liaise with clients, consultants, relevant authorities, and sub-contractors on M&E issues.
• Handle any other ad-hoc duties and tasks assigned.

Job Requirements:

• Diploma / Degree in Mechanical or Electrical Engineering
• Minimum 2-4 years of relevant experience in LTA projects

Job scopes

• Maintain and evolve the existing Chatbook application, ensuring stability, performance, and continuity of service.
• Design and build new AI solutions leveraging LLMs, retrieval-augmented generation (RAG), and agentic frameworks.
• Collaborate with Project Managers, Solution Architects, and business stakeholders to deliver production-grade AI applications on AWS.
• Take over the Chatbook Application through structured knowledge transfer, documenting existing architecture, codebase, and integrations.
• Perform ongoing system maintenance including updates, bug fixes, performance tuning, and incident resolution.
• Design and develop end-to-end AI solutions using LLMs, RAG architectures, and agentic frameworks.
• Build MCP-based integrations and agentic pipelines for enterprise system connectivity.
• Implement monitoring and observability for AI model performance and agentic behaviour.
• Translate business and stakeholder requirements into robust, AI-powered solutions.

Job Requirements

• Bachelor’s degree in Computer Science or a related discipline
• Working experience building AI agents and multi-agent systems using frameworks such as LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI, with good knowledge of agentic design patterns (planning, tool use, memory, reflection).
• Experience with MCP-based integrations and maintaining GenAI/agentic applications in production, including guardrail implementation and application evaluation.
• Knowledge of LLMOps practices — prompt management, model evaluation, observability tools (e.g., LangSmith), AI governance, and responsible AI principles.
• Good fundamentals in clean code, design patterns, testing, REST API development, containerisation, orchestration, and CI/CD pipelines.
• Proficiency in Next.js / React, Python, TypeScript, and Tailwind CSS.
• Proficiency in relational and NoSQL databases, with familiarity in vector databases for semantic search.
• Experience with AWS cloud services including Lambda, API Gateway, S3, CloudWatch, and IAM.
• Hands-on experience with AWS Bedrock to orchestrate foundation models such as Anthropic Claude, including Knowledge Bases, Agents, and Guardrails.
• Experience developing and deploying applications on Government Commercial Cloud

Thankyou for your interest!

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