7 Docker jobs in Singapore

• Provide L1/L2 application and system support, including monitoring CPU, memory, logs, and services.
• Troubleshoot and resolve system, application, and infrastructure issues to minimize downtime.
• Perform routine system checks, updates, patching, and backups.
• Monitor application health, respond to alerts, and escalate issues to L3 teams or vendors as required.
• Manage incidents and service requests via ticketing system, ensuring timely closure.
• Assist in system testing, deployment, and post-deployment support.
• Maintain accurate technical documentation, issue logs, and resolution procedures.
• Support user access management, system configuration, and security enforcement.
• Participate in Kubernetes/Docker cluster operations, including log monitoring and troubleshooting.
• Collaborate with cross-functional teams to ensure system stability, scalability, and compliance.

• Diploma/Degree in Electrical Engineering, Computer Science, Communications Engineering, or equivalent.
• At least 2 years' experience in application maintenance, system support, or server infrastructure setup.
• Proficiency with Kubernetes and Docker, including experience in managing application logs.
• Experience with virtualization platforms (e.g., VMware, Xen, KVM, OpenStack, CloudStack, Azure Stack).
• Familiarity with cloud orchestration, configuration management, and auto-scaling techniques.
• Strong knowledge of networking, load balancing (TCP/IP, HTTP, DNS), and WiFi setup.
• Experience with storage technologies (NAS, SAN, SDS, Ceph file systems such as RBD, CephFS).
• Hands-on experience with automation/configuration tools (Salt, Chef, Puppet, Ansible).
• Proficiency in scripting/coding (e.g., Bash, PowerShell, Python, Perl) and Linux OS administration (RedHat, Ubuntu, CentOS).
• Knowledge of IT security standards (CIS, IM8), policy management, and hardware/server restoration.

To Apply, please kindly email your updated resume to

Regret to inform that only shortlisted candidates will be notified.

CEI: R

EA License: 14C7275

We are seeking an experienced Cloud Computing Specialist to join our team. The successful candidate will be responsible for architecting, optimizing and managing cloud environments.

Key Responsibilities:

• Cloud Environment Management
• Technical Guidance
• Troubleshooting Complex Issues
• Documentation and Operational Readiness

Required Skills and Qualifications

To be successful in this role, you will need:

• 5+ years of end-to-end cloud experience (Azure, AWS, GCP or other major platforms)
• Proven experience in designing and implementing cloud solutions
• Strong understanding of networking fundamentals
• Experience in hybrid or multi-cloud integration is a plus

Benefits

The successful candidate can expect:

• A competitive annual remuneration package
• Opportunities for career growth and development
• A dynamic and supportive work environment

Location

Singapore.

About Sembcorp
Sembcorp is a leading energy and urban solutions provider headquartered in Singapore. Led by its purpose to drive energy transition, Sembcorp delivers sustainable energy solutions and urban developments by leveraging its sector expertise and global track record.
Key Roles and Responsibilities
Implement Microsoft Dynamics 365 Finance & Operations (D365 F&O) across business units.
Support all phases of the project lifecycle, including requirements gathering, solution design, configuration, testing, deployment, and user training.
Work collaboratively with stakeholders to help ensure timely delivery of milestones across multiple entities.
Coordinate with internal teams to maintain alignment and clarity on project objectives.
Contribute to post-implementation reviews and help identify opportunities for solution enhancements.
Maintain accurate documentation of system configurations, changes, and project deliverables.
Share insights and suggest improvements to enhance processes and promote best practices in D365 F&O implementations.
Qualifications, Skills & Experience
Bachelor’s degree/Diploma in Computer Science, Computer Studies, Information Technology or related disciplines
Minimum 5 years experience in ASP .Net, (C# and/or VB.Net), Azure DevOps, MSSQL, Javascript, JQuery, BootStrap, HTML, CSS, React, Angular, Vue, Blazor.
Minimum 5 years of experience with Web Services and APIs
Minimum 2 year of experience in Cloud Computing with Azure services such as: servers, storage, databases, networking, software, analytics, etc. preferred.
Minimum 1 year of experience in Microsoft Dynamics 365
Microsoft Dynamics 365 Finance and Operations (F&O) with X+ is an added advantage
Ability to work in a team as well as independently
Our Culture at Sembcorp
At Sembcorp, our culture is shaped by a strong set of shared behaviours that guide the way we work and uphold our commitment to driving the energy transition.
We foster an institution-first mindset, where the success of Sembcorp takes precedence over individual interests. Collaboration is at the heart of what we do, as we work seamlessly across markets, businesses, and functions to achieve our goals together. Accountability is a core principle, ensuring that we take ownership of our commitments and deliver on them with integrity and excellence. These values define who we are and create a workplace where our people can thrive while making a meaningful impact on driving energy transition.
Join us in making a real impact!
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Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.

We are seeking a Director of Software Engineering, AI Deployment with a strong SRE orientation to lead the software and systems engineering required to bring cutting-edge AI models to production. This role is responsible for engineering AI model services, building supporting infrastructure, and ensuring that the systems are scalable, resilient, observable, and production-ready.

You'll oversee teams building backend APIs, automation tooling, and deployment pipelines, while also defining performance, availability, and reliability standards. This role operates at the intersection of software engineering, DevOps, and AI.

You'll oversee teams building backend APIs, automation tooling, and deployment pipelines, while also defining performance, availability, and reliability standards. This role operates at the intersection of software engineering, DevOps, and AI.

Essential Duties and Responsibilities

• Lead the design and engineering of scalable, robust, and testable software systems that wrap and serve AI/ML models.
• Drive development of reusable APIs, frameworks, and libraries to accelerate integration of AI into customer-facing products.
• Oversee engineering of high-performance model inference systems, with a focus on both cloud-native and on-premise environments.
• Architect backend services that are API-first, containerized, and designed for high availability
• Ensure all services are testable, observable, and meet handoff criteria for release candidate testing by the QA team for continuous integration, automated validation, and smooth production rollout
• Define and implement SLOs, SLIs, and error budgets for model-backed services.
• Drive implementation of robust monitoring, alerting, logging, and auto-recovery mechanisms.
• Build resilience and observability into AI systems by design and implement incident response protocols, runbooks, and reliability audits
• Lead efforts to optimize AI model serving performance: memory, compute, GPU usage, latency, and cost-efficiency.
• Architect systems that can scale elastically based on demand, while maintaining deterministic behavior and uptime guarantees.
• Oversee buildout of deployment automation tools, CI/CD for models and software components, and rollback systems.
• Manage and grow a team of software and systems engineers responsible for end-to-end AI system readiness.
• Set strategy for software delivery, technical quality, operational metrics, and performance benchmarks.

Qualifications

• 10+ years in software engineering, with 4+ years in engineering leadership or director roles.
• Demonstrated experience building and running production-grade AI/ML systems.
• Deep expertise in backend development, API design, and cloud infrastructure (AWS, GCP, or Azure).
• Solid grounding in SRE principles — including incident response, observability, error budgeting, and reliability metrics.
• Strong knowledge of site reliability tooling (e.g., Prometheus, Grafana, OpenTelemetry, Sentry)
• Familiarity with model serving frameworks (e.g., Triton, TorchServe, Ray Serve), and GPU compute orchestration
• Familiarity with LLM pipelines, streaming inference, or hybrid deployment environments (cloud + edge)
• Prior ownership of large-scale AI delivery platforms or model hosting infrastructure.
• Experience with CI/CD, Software Development Lifecycle for Software Systems, AI model lifecycle tooling, and infrastructure-as-code.
• Excellent problem-solving, analytical, and decision-making abilities.
• Strong communication and stakeholder management skills.
• Ability and willingness to learn any new technologies and apply them at work in order to stay ahead, in a fast paced, high pressure, agile environment
• Excellent written and verbal communication skills for coordinating across teams.

Education & Experience

Bachelor's or Master's in Computer Science, Software Engineering, or equivalent

Travel Requirements

• Role based in Singapore office and may require up to 1 travel trip per year.

Are you game?

Director of Software Engineering, AI Deployment page is loaded# Director of Software Engineering, AI Deploymentlocations:
Singaporetime type:
Full timeposted on:
Posted Todayjob requisition id:
JR Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is **a place to do great work**, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also **a great place to work,** providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.# **Job Responsibilities :**We are seeking a Director of Software Engineering, AI Deployment with a strong SRE orientation to lead the software and systems engineering required to bring cutting-edge AI models to production. This role is responsible for engineering AI model services, building supporting infrastructure, and ensuring that the systems are scalable, resilient, observable, and production-ready.
You’ll oversee teams building backend APIs, automation tooling, and deployment pipelines, while also defining performance, availability, and reliability standards. This role operates at the intersection of software engineering, DevOps, and AI.You’ll oversee teams building backend APIs, automation tooling, and deployment pipelines, while also defining performance, availability, and reliability standards. This role operates at the intersection of software engineering, DevOps, and AI.**Essential Duties and Responsibilities*** Lead the design and engineering of scalable, robust, and testable software systems that wrap and serve AI/ML models.* Drive development of reusable APIs, frameworks, and libraries to accelerate integration of AI into customer-facing products.* Oversee engineering of high-performance model inference systems, with a focus on both cloud-native and on-premise environments.* Architect backend services that are API-first, containerized, and designed for high availability* Ensure all services are testable, observable, and meet handoff criteria for release candidate testing by the QA team for continuous integration, automated validation, and smooth production rollout* Define and implement SLOs, SLIs, and error budgets for model-backed services.* Drive implementation of robust monitoring, alerting, logging, and auto-recovery mechanisms.* Build resilience and observability into AI systems by design and implement incident response protocols, runbooks, and reliability audits* Lead efforts to optimize AI model serving performance: memory, compute, GPU usage, latency, and cost-efficiency.* Architect systems that can scale elastically based on demand, while maintaining deterministic behavior and uptime guarantees.* Oversee buildout of deployment automation tools, CI/CD for models and software components, and rollback systems.* Manage and grow a team of software and systems engineers responsible for end-to-end AI system readiness.* Set strategy for software delivery, technical quality, operational metrics, and performance benchmarks.# Pre-Requisites :**Qualifications*** 10+ years in software engineering, with 4+ years in engineering leadership or director roles.* Demonstrated experience building and running production-grade AI/ML systems.* Deep expertise in backend development, API design, and cloud infrastructure (AWS, GCP, or Azure).* Solid grounding in SRE principles — including incident response, observability, error budgeting, and reliability metrics.* Strong knowledge of site reliability tooling (e.g., Prometheus, Grafana, OpenTelemetry, Sentry)* Familiarity with model serving frameworks (e.g., Triton, TorchServe, Ray Serve), and GPU compute orchestration* Familiarity with LLM pipelines, streaming inference, or hybrid deployment environments (cloud + edge)* Prior ownership of large-scale AI delivery platforms or model hosting infrastructure.* Experience with CI/CD, Software Development Lifecycle for Software Systems, AI model lifecycle tooling, and infrastructure-as-code.* Excellent problem-solving, analytical, and decision-making abilities.* Strong communication and stakeholder management skills.* Ability and willingness to learn any new technologies and apply them at work in order to stay ahead, in a fast paced, high pressure, agile environment* Excellent written and verbal communication skills for coordinating across teams.**Education & Experience**Bachelor's or Master's in Computer Science, Software Engineering, or equivalent**Travel Requirements*** Role based in Singapore office and may require up to 1 travel trip per year.At Razer, you'll be at the forefront of the most exciting industry in the world — gaming. Evolving forms of gaming require evolving forms of hardware, software and services. That’s where Razer comes in, offering innovative top-of-the-line products and services to allow gamers to fully immerse in the ultimate gaming experience.
Getting onboard Razer will place you on a global mission to bring gamers closer to the games they love. Razer is a place to do great work, offering you the opportunity to be a part of a global team across 11 countries. Whether you are a hardcore evangelist who breathe life to the latest and greatest gaming gear or a behind-the-scene hero who runs our global operations, you are assured of a career-changing quest that transcends time zones and culture with one single spell: For Gamers. By Gamers.
The journey towards phenomenal-ness won’t come easy. However, we will excel because gamers rely on teamwork. We achieve greatness because we are wicked problem-solvers and tenacious in clinching victories in all that we do. It is the team that makes Razer where it is today and will continue to bring Razer to even greater heights.
Razer is proud to be certified as a Great Place to Work in both United States and Singapore. This is a testament to our commitment to make your quest at Razer a rewarding one
#J-18808-Ljbffr