Total 8 Director/C-Level Information Technology job vacancies

Key Responsibilities:

• Administer and maintain Microsoft Windows environments, including patch management, clustering, and Active Directory/LDAP services.
• Design and implement Azure Hub-and-Spoke network architecture.
• Develop and deploy scalable, secure, and cost-optimized cloud solutions on Microsoft Azure.
• Build and configure enterprise infrastructure systems in alignment with high-level architectural designs.
• Manage and support enterprise tools and platforms including Tanium, Azure Entra ID, Intune, Microsoft Defender for Endpoint (MDE), and Azure Active Directory.
• Execute Tanium and SCCM-related operational tasks and project deliverables.
• Participate in Microsoft 365 feature rollouts, enhancements, and related projects.
• Collaborate with project managers and stakeholders to deliver tasks within defined timelines.
• Serve as Subject Matter Expert (SME) for Wintel-related data center operations.
• Contribute to initiatives involving DevOps, Artificial Intelligence, SASE, Identity Management (IDM), Endpoint Detection and Response (EDR), SNMP, and SOC operations (good to have).

Requirements:

• Bachelors degree in Computer Science, IT, or related field (or equivalent experience).
• 8+ years of experience in Windows Server administration and project implementations
• Experience with Microsoft Active Directory, DNS, DHCP, and Group Policy.
• Familiarity with cloud platforms (Azure, AWS) and virtualization.
• Certifications such as MCSA, MCSE, AWS/Azure Certification.
• Strong knowledge of TCP/IP, VPNs, Firewalls, and Routing

EA License No: 11C4879 / Registration ID : R1218583

Apar Technologies Pte Ltd, Singapore

SDLC & RUNTIME

The SDLC and Runtime (SDLCR) team builds and manages the firm’s mission critical platforms for job scheduling, compute-as-a-service, file transfer, and the firmwide software development lifecycle (e.g., software distribution, automated testing, CI/CD). These platforms empower the firm’s expansive set of global developers to deliver services, products, and platforms for internal and external customers. 

In this role, you will work on multi-year initiatives to build out our strategic, highly scalable, and resilient SDLC platform, improving productivity and developer experience for our engineers across the firm.

JAVA CI/CD DEVELOPER

You will be part of Java-Slang Integration (JSI), a global team of Java/polyglot developers that design, develop and deploy the runtime of a proprietary build pipeline. This pipeline is used for the build, test and deployment at scale of some of the firms most business critical applications. The platform and the surrounding tool chain that form the JSI ecosystem allow the production of binaries that interop our proprietary front office language, SLANG, with the JVM ecosystem. At the same time, the underlying distribution mechanisms enable the simultaneous release of changes on a global scale.

Containing tens of millions of code and with hundreds of releases to production a day, JSI is leveraged by hundreds of software engineers daily to build products with a focus on Global Banking & Markets and Asset & Wealth Management. Your work will allow our engineers to develop products with reduced time to market, higher reliability and have material impact on our engineer productivity.

HOW YOU WILL FULFILL YOUR POTENTIAL

• Be part of the core team to drive strategic uplift of core SDLC platforms to increase throughput, latency, scalability and resiliency
• Build strong relationships with other high caliber engineers and enjoy collaboration and open to adopting new ideas

SKILLS AND EXPERIENCE WE ARE LOOKING FOR

• At least 5 years of working experience of which at least 3 hands-on Java development experience
• Strong problem solving / analytical skills
• Excellent communication, influencing, relationship building skills and comfortable managing multiple stakeholders, driving consensus and influencing outcomes
• Passionate about the software development process and facilitating high frequency / high quality change across a vibrant and diverse user community

PREFERRED QUALIFICATIONS

• Experience in commercial / open source build systems (Maven / Ant / Gradle / Bazel) and knowledge in distributed and centralized software change management systems
• Experience in architecting horizontally scalable systems with knowledge of elastic compute and distributed systems patterns
• Experience of DevOps, SRE, infrastructure (storage / networks / etc.)

 ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2026. All rights reserved.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

Key Responsibilities

Resolves unusually complex field process issues utilizing systematic troubleshooting methodology generally involving multiple processes.  Create a mechanism to communicate issues, track progress and pull resources from multiple business units and/or functions. Uses sound statistical techniques like and problem solving methodologies DOEs (Design of Experiment) to quickly determine root cause and action plans. Communicates learnings from this portion to rest-of-world to strengthen the product packages.

Provides oversight of customer demos, including defining demo conditions and analyzing results.

Assists account teams in managing the customer account to enhance customer satisfaction and increase AMAT’s product and technical reputation.

Works with business unit in technology development and transfer to customers including customized process development.  Plans unit process sequence based on customer requirements.  Negotiates process specifications  and service offerings with customers.  Takes ownership of delivering the required solution to the customers that meets specification.

Serves as the customer expert across a broad range of unusually complex products.  Plays a key role in defining product strategy and identifying gaps.   Provides feedback to  business unit heads on process and hardware improvements to meet customer roadmap requirements.

Directs the positioning of new technologies to customers utilizing technical information from  business units.  Interfaces with customers at key development and manufacturing sites to form strategic partnerships to evaluate new and emerging technologies and oversees joint development activities or beta-site testing programs. Makes executive level presentations.

Keeps abreast of new developments in own and related technology groups.  Participates in publishing in ET conferences and journals.

Forms strategic partnerships to evaluate new and emerging technologies and oversee joint development activities or beta-site testing programs.

Functional Knowledge

• Demonstrates broad and comprehensive understanding of different systems, theories and practices

Business Expertise

• Applies broad industry and commercial awareness to drive financial and operational performance across business unit, department or sub-functions

Leadership

• Leads through subordinate managers of managers; executes segment/functional business plans and contributes to the development of segment/functional strategy

Problem Solving

• Directs the resolution of highly complex or unusual business problems applying advanced analytical thought and judgment

Impact

• Guided by segment/functional  strategy, impacts results of a department, business unit or sub-function or facilitates the work done by other segments/functions by providing support to impact the business

Interpersonal Skills

• Negotiates and influences the opinions of others at the senior executive level and in external organizations; exercises sensitivity to the audience 

Position requires understanding of Applied Materials global Standards of Business Conduct and compliance with these standards at all times. This includes demonstrating the highest level of ethical conduct reflecting Applied Materials' core values.

The Opportunity

Join a team building the data foundations that support the firm’s AI and analytics capabilities. This role sits within the engineering effort to develop a modern Lakehouse and AI data platform that enables reliable, well-governed and high-performing data use across the firm.

At Goldman Sachs, engineering teams are positioned at the centre of the business, building scalable systems, solving complex technical problems and turning data into action. In data engineering roles, the emphasis is on designing, building and maintaining large-scale data platforms, delivering production pipelines, improving reliability and quality, and partnering closely with users of the platform.

This is a delivery-focused role for engineers who want to build robust data assets in production, work with modern data technologies, and grow over time within the firm. You will contribute to the data models, pipelines and platform capabilities that underpin analytics, operational decision-making and emerging AI use cases, and may also help extend platform tooling where additional functionality is needed.

Role Summary

As a Data Engineer in the Lakehouse and AI Data Platform team, you will design, build, test and support data pipelines and curated datasets on the firm’s modern data platform. You will work across ingestion, transformation, modelling, optimisation and data quality, helping to deliver data products that are reliable, scalable and fit for purpose.  Where there are gaps in platform functionality, you may also contribute to shared tooling or framework components that improve how the platform is used and operated.

The role is suited to engineers who are comfortable writing code, working with SQL and distributed data processing, and solving practical delivery problems in a team environment. More experienced candidates may also contribute to technical design, platform standards and the shaping of delivery approaches across a wider set of use cases.

Key Responsibilities

Pipeline Engineering

• Build, enhance and support batch and streaming data pipelines on the Lakehouse and AI data platform.
• Refactor or modernise existing data flows where needed to improve reliability, performance and maintainability.
• Where needed, build reusable tooling to improve delivery, consistency and operational support.
• Ensure data pipelines are production-ready, well tested and operationally supportable.

Data Modelling and Curation

• Develop raw, refined and curated datasets that support analytics, reporting and AI use cases.
• Apply sound data modelling principles to represent business entities, relationships and historical change accurately.
• Work with consumers to shape data products that are usable, well documented and aligned to business needs.

Data Quality and Reconciliation

• Implement controls to validate completeness, accuracy and consistency of data across pipelines and datasets.
• Use reconciliation approaches to build confidence in production outputs and investigate breaks where they arise.
• Contribute to clear standards for testing, monitoring and issue resolution.
• Contribute to practical improvements in testing, monitoring or reconciliation tooling where these strengthen platform reliability and day-to-day delivery.

Delivery and Partnership

• Work closely with engineers, platform teams and data consumers to deliver agreed outcomes to time and quality expectations.
• Communicate clearly on progress, risks, dependencies and design choices, including where delivery would benefit from improvements to shared platform tooling.
• For more senior candidates, take a broader role in technical leadership, task breakdown and support for junior engineers.

Skills and Experience

Required

• Min. 7 years of experience in a similar role.
• Bachelor’s or master’s degree in a relevant discipline, or equivalent practical experience, with evidence of strong quantitative skills or data engineering expertise.
• Strong hands-on programming experience in Python or Java.
• Good working knowledge of SQL, including troubleshooting, optimization and data analysis.
• Ability to learn new tools, internal platforms and delivery workflows quickly.
• Familiarity with software engineering fundamentals, including version control, testing, release discipline and CI/CD practices.

Data Engineering Capability

• Understanding of temporal data modelling, including the handling of historical state and change over time.
• Knowledge of schema design, schema evolution and data compatibility considerations.
• Understanding of partitioning, clustering and other techniques used to improve data performance at scale.
• Ability to make sensible design choices across normalized and denormalized models, and between natural and surrogate keys.
• Practical approach to data quality, reconciliation and root-cause analysis.
• Experience building or supporting production data pipelines in a collaborative engineering environment.
• Experience working with distributed data processing frameworks such as Apache Spark.
• Working knowledge of common data formats such as JSON, Avro and Parquet.
• Stronger ownership of technical design across multiple datasets or pipeline domains.
• Experience guiding implementation standards, code quality and engineering practices within a team.
• Ability to lead delivery for a workstream, manage dependencies and support less experienced engineers.

Technology Environment

The role will involve working with a modern and evolving data stack. Candidates are not expected to have deep expertise in every tool from day one but should bring relevant experience and the ability to work across comparable technologies.

Examples of technologies in scope include:

• Data processing and logic: ANSI SQL, Apache Spark, Kafka
• Data formats: JSON, Avro, Parquet
• Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ
• Engineering and deployment: CI/CD tooling, containerized or Kubernetes-based deployment approaches where relevant

You will also work with internal data management and platform tooling, so a practical and adaptable engineering mindset is important.

What We Are Looking For

We are looking for engineers who can deliver well-structured, reliable solutions in production and who take ownership of the quality of what they build. The role suits candidates who are technically strong, pragmatic and comfortable working in a fast-paced environment where data platforms support important business outcomes.

Stronger candidates will typically demonstrate:

• sound judgement in technical trade-offs
• attention to detail in data correctness and testing
• a clear and structured approach to problem solving
• willingness to work closely with stakeholders and partner teams
• an interest in developing long-term expertise within the firm

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2026. All rights reserved.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

What We Do

At Goldman Sachs, our Engineers don’t just make things – we make things possible.  Change the world by connecting people and capital with ideas.  Solve the most challenging and pressing engineering problems for our clients.  Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.  Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Goldman Sachs Engineers are innovators and problem-solvers, building solutions in Artificial Intelligence, risk management, big data, mobile and more.

Cloud Platform

As part of Core Engineering at Goldman Sachs, the Cloud Platform team is responsible for enabling the use of public cloud services across the firm. You will be working as part of multi-disciplinary team responsible for researching, architecting and building a cutting-edge platform that enable Goldman Sachs teams to deploy and manage services in public cloud safely and securely. We are at an early stage of modernizing our services around cloud native principles, and you will be directly contributing to platform that programmatically enforces safety, security and compliance of services and enables engineers to innovate faster.

The organization is seeking highly collaborative, creative, and intellectually curious engineers who are passionate about developing and implementing cutting-edge cloud computing solutions. The ideal candidate will thrive in a DevOps culture and contribute to customer-centric product development. They will work closely with cross-functional teams, and will be creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment.

Responsibilities And Qualifications:
As part of our global Cloud Development team you will work on various components as a Software Engineer. Your role includes specification, development, testing and releasing of new features. The team owns the platforms throughout the lifecycle. You are expected to contribute to the vision, understand our customers’ needs, business goals, product roadmap and contribute to building an engineering culture within the team. We expect the successful candidate to deliver high quality software and to be passionate about software engineering. You must have a proficient understanding of software development, security and the mechanisms to design safe, resilient and highly-available cloud native services.

Key Responsibilities:

• Design, develop and manage services in public cloud.
• Develop safe, resilient and highly-available distributed services.
• Write technical specifications, work with several teams and manage technical dependencies and drive design meetings with various stakeholders for consensus.
• Collaborate with business software engineering teams on solving business problems via the architecture and engineering of cloud native applications.
• Engage with the larger Core Engineering organization to create and deliver usable, safe cloud native engineering patterns with associated guardrails and operational practices.
• Create, communicate, and promote best practices for public cloud native development across the firm.
• Partner with cloud providers such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure to shape the future of public cloud services for finance industry.

Basic Qualifications:

• Strong technical ability, willingness to learn and evolve your skills with advances in technology.
• Bachelors' or Masters Degree in Computer Science or related field with at least 5 years of relevant professional experience.
• Proficiency in designing, developing, and testing software in one or more of Java, Type Script, Python; open to using and learning multiple languages.
• Expertise with Linux, containers, system security and automation with scripting languages.
• Experience architecting, designing, administering, or developing applications in Amazon Web Services.
• Ability to communicate technical concepts effectively, both written and orally, as well as the interpersonal skills required to collaborate effectively with colleagues across diverse technology teams.
• Ability to reason about performance, security, and process interactions in complex distributed systems.
• Ability to understand and effectively debug both new and existing solutions.
• Ability to independently deliver on Product Roadmap, Operational Stability and Execution Strategy.

Preferred Qualifications:

• Bachelor or Advanced Degree in Computer Science or related field.
• 10+ years of work experience with Typescript, Java, Python and AWS.
• Knowledge and experience of software development lifecycle and infrastructure-as-code tooling, such as Cloud Formation, Terraform,  and AWS CDK.
• Experience with security, isolation and multi-tenant design of distributed cloud services.
• Familiarity with software artifact and container image lifecycle management and governance.
• Understanding of RESTful API design best practices and experience in developing them.
• Familiarity with cloud network architectures and the integration with hybrid cloud networking.
• Experience with Server-less platforms such as AWS Lambda, AWS Batch etc.

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2026. All rights reserved.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

• The Technical Director (power plant) is responsible for the design governance and technical assurance of power generation projects. This position leads the Front-End Engineering Design (FEED), Detailed Design, and technical delivery for clients (IPPs, Utilities, or Governments).
• Job Description1. Design Leadership & Technical AssuranceDesign Authority: Act as the final technical signatory for all power plant designs (Thermal, WtE, Biomass, or Renewables), ensuring compliance with international codes (NFPA, Eurocodes, API) and grid codes .Project Lifecycle Management: Oversee the engineering delivery from Conceptual Design, Feasibility Studies, FEED, to Detailed Design and Procurement support .Quality Control: Establish and enforce minimum quality standards, best practices, and review procedures (Peer Reviews, Model Reviews) for all engineering deliverables (drawings, calculations, specifications) .2. Client & Business Development (BD)Technical Pursuits: Lead the technical preparation of tender bids (RFPs/EOI), including man-hour estimation, methodology statements, and design optimization strategies to win projects.Client Management: Serve as the senior technical interface for clients, regulators, and lenders. Present complex technical solutions and due diligence reports to stakeholders .Scope Management: Liaise with clients regarding project progress, technical decisions, and change orders to ensure deliverables are met on time and budget .3. Technical Studies & InnovationDue Diligence: Conduct Lenders’ Technical Advisory, Owner’s Engineer services, and risk assessments for project financing .Problem Solving: Lead Root Cause Analysis (RCA) for design failures during construction or commissioning. Drive value engineering initiatives to reduce capital expenditure (CAPEX) for clients .Qualifications & RequirementsEducation:Bachelor’s Degree in Mechanical, Electrical, or Civil Engineering.15 to 20+ years of experience in the power generation sector, with significant experience working for a power plant sector including Developer, Consulting Engineering Firm, EPC Contractor.Proven track record in the Detailed Design of large-scale power plants (e.g., >100MW combined cycle, WtE, or large substations).Experience managing P&L and winning tender bids (Business Development) would be preferred

SDLC ENGINEERING

Part of the Goldman Sachs’ Core Engineering group's function is to provide best in class language support and tooling for our engineering community to facilitate the building, testing and deployment of their products. We strive for our tooling to improve product quality, developer productivity and increase opportunities for collaboration. Our aim is to innovate and drive technology solutions that will impact the bottom line for the firm. By joining us, you will be part of a diverse global technical team focusing on solving critical business problems. You will be working at the heart of the developer experience, ensuring the code that is written by thousands of GS engineers is versioned securely, reviewed expertly, compiled quickly, tested comprehensively, and distributed widely.

WHAT YOU WILL BE WORKING ON

We are seeking a highly skilled and motivated engineer lead to join our team at Goldman Sachs. This role is focused on designing, deployment, and management of agentic AI systems to enhance the software development lifecycle. The ideal candidate will be responsible for creating solutions to manage and optimize the performance of autonomous AI software engineering agents, while also providing technical leadership, mentorship, and guidance to other engineers on the team. The successful candidate will work closely with cross-functional teams and foster a collaborative environment to ensure that the tools and services developed are seamlessly integrated into the existing development workflows, ultimately driving improvements in productivity across the organization. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment

SKILLS AND EXPERIENCE WE ARE LOOKING FOR

• Minimum 10 years of industry experience as a programming, software engineering, or similar job roles.

• General knowledge of multiple languages, and in-depth strong programming skills of at least one of: Golang, Python, Java, C++.

• Strong software engineering fundamentals

• Familiarity with continuous integration, deployment pipelines, monitoring solutions

• Comfortable managing multiple stakeholders, driving consensus, and influencing outcomes, strong problem solving and analytical skills

• Proven experience in leading and mentoring engineering teams, including direct people management responsibilities such as performance reviews, career development, and fostering a collaborative team environment.

PREFERRED QUALIFICATIONS

• BSc / MSc in relevant field (Computer Science, Engineering or related field)

• Experience with AI and machine learning technologies.

• Experience with DevOps, SRE, infrastructure as code, Terraform, AWS

• General knowledge of Linux, Docker, Kubernetes

• Experience with all stages in the lifecycle of developing and running large distributed systems

• Knowledgeable about networking (TCP, IP, UDP, DNS, TLS, HTTP)

WHAT'S IN IT FOR YOU

• Work with advanced AI technologies to enhance coding efficiency, productivity and developer experience.

• Be part of a forward-thinking team that values continuous improvement and ensures high-quality results.

• Develop expertise in areas such as CI/CD, SDLC, containerization, GenAI, and cloud computing.

• Stay updated with the latest technological advancements and best practices by engaging with industry leaders and vendors.

• Tackle real engineering challenges, contribute to globally scalable platforms, supporting global operations and enhancing the developer experience

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

©The Goldman Sachs Group, Inc., 2026. All rights reserved.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

Job Overview

You will be deployed to our client who is a leading government technology agency driving digital transformation and innovation in the healthcare sector. You will undertake complex projects related to systems provisioning, installations, configurations as well as monitoring and maintenance. Apply highly developed specialist knowledge and skills in systems administration and works toward continuous optimization of systems performance. Implements systems improvements and instructs other IT staff in the resolution of complex issues. Required to be on standby with on-call availability with varied shifts including nights, weekends and holidays. Able to quickly and effectively solve issues as they arise. Able to methodically identify the cause of the issue, evaluate it and develop a solution in collaboration with the team. Communicates effectively and displays high level of service standards.

Responsibilities
Execute Systems Administration Service Levels:

• Monitor systems performance and usage,including response times
• Supervise backups, optimization, initiation ofrecovery procedures and routine troubleshooting
• Communicate regularly with technical,applications and operational staff to ensure systems integrity and security
• Determine the systems’ short- and long-termrequirements
• Manage systems report production

Advise on System Capabilities:

• Advise senior leaders on system concepts andfunctional capabilities
• Provide technical advice to the team andclients on installation, setup, configuration of systems
• Interpret internal or external business issuesand recommends solutions/best practices
• Implement plans to make systems available tousers in a shared, secure and controlled manner

Develop New Systems:

• Lead the development of new systems as per thesystem requirements
• Design security and integrity controls
• Conduct new systems testing and implementation
• Define the system maintenance procedures
• Analyze the use of new systems to identifyenhancement needs
• Lead research initiatives for the developmentof advanced and automated approaches for system administration

Optimize systems performance:

• Seek opportunities to optimize the delivery ofsystems services with emphasis on availability, reliability, scalability, andsecurity
• Conduct regular system audits and upgrades
• Develop automated processes to define,measure, and report on service quality, stability and capacity

Resolve issues:

• Oversee the assessment of risks to systems
• Identify complex system issues to provideadvisory to the stakeholders
• Investigate cause of systems issues
• Resolve complex issues
• Provide escalation support for issuespresented by the user 

Requirements

• Bachelor’s Degree in Computer Engineering or equivalent qualification
• At least 3-4 years of experience in administering and managing Microsoft Active Directory, DNS and Group Policy Management.
• Certification in MSCA/MCSE preferred.
• Strong communications skills with stakeholders at all levels.
• Must be comfortable to do night activities – patches, upgrades, tech refresh and maintenance as well as 24/7 standby (rotational)
• Experience in healthcare applications preferred.

If you are interested in this role and would like to discuss the opportunity further please click apply now or email Chew Kai-Xinn at kaixinnchew@morganmckinley.com for more information.

Only shortlisted candidates will be responded to, therefore if you do not receive a reply within 14 days please accept this as notification that you have not been shortlisted.

Morgan McKinley Talent Solutions

Morgan McKinley Pte Ltd EA Licence No: 11C5502

EAP Registration No: R2196712

EAP Name: Chew Kai-Xinn