- Outram Central Region (Singapore) Singapore
Kerja Sepenuh Masa Solutions Engineer _Python,Snowflack,Java, Gaji tinggi SGD 10,000 di SPI GLOBAL CONTENT HOLDING PTE. LTD. Central Region (Singapore) - Maukerja
Solutions Engineer _Python,Snowflack,Java
SPI GLOBAL CONTENT HOLDING PTE. LTD.
Kongsi
Simpan
Lokasi Kerja
Penerangan Kerja
Tanggungjawab
We are seeking a
hands-on Senior Solution Engineer
to design, build, and operate robust cloud-native data and AI solutions. The ideal candidate combines strong software engineering fundamentals with deep practical experience in
AWS
and
Snowflake
Responsibilities
Design & Build Solutions
: Deliver production-grade software and data solutions end-to-end, from architecture to deployment and continuous improvement.
Data Engineering
: Implement scalable, secure, and well-governed data pipelines across structured, semi-structured, and unstructured sources.
Snowflake Optimization
: Model, curate, and optimize datasets, schemas, and structures for performance and usability.
Software Engineering Practices
: Apply clean code, modular design, automated testing, CI/CD, observability, and secure development.
Stakeholder Collaboration
: Translate requirements into robust solutions and enable advanced analytics and AI use cases.
AI-Assisted Development
: Use tools like GitHub Copilot, Claude, or Cursor to accelerate coding, testing, and documentation.
Cloud-Native Integrations
: Build integrations and automation using AWS compute, storage, networking, and managed AI services.
Operations Ownership
: Manage deployment, release, monitoring, troubleshooting, and incident resolution.
Required
7+ years of professional experience in software, solution, or data engineering roles.
Proven track record of delivering production-grade systems in enterprise environments.
Deep hands-on
AWS
experience (compute, storage, networking, IAM, security, orchestration, monitoring, serverless/event-driven architectures).
Deep hands-on
Snowflake
experience (data modeling, SQL tuning, pipeline integration, governance, cost/performance optimization).
Strong proficiency in
Python
and/or
Java
with solid software design principles.
Familiarity with
AWS AI services
(e.g., Amazon Bedrock) and agent-based AI solution patterns.
Experience with
AI-assisted engineering tools
(Copilot, Claude, Cursor, etc.).
Knowledge of
CI/CD, infrastructure-as-code, DevOps practices, and production support
.
Ability to translate ambiguous business problems into clear technical scopes and measurable success criteria.
hands-on Senior Solution Engineer
to design, build, and operate robust cloud-native data and AI solutions. The ideal candidate combines strong software engineering fundamentals with deep practical experience in
AWS
and
Snowflake
Responsibilities
Design & Build Solutions
: Deliver production-grade software and data solutions end-to-end, from architecture to deployment and continuous improvement.
Data Engineering
: Implement scalable, secure, and well-governed data pipelines across structured, semi-structured, and unstructured sources.
Snowflake Optimization
: Model, curate, and optimize datasets, schemas, and structures for performance and usability.
Software Engineering Practices
: Apply clean code, modular design, automated testing, CI/CD, observability, and secure development.
Stakeholder Collaboration
: Translate requirements into robust solutions and enable advanced analytics and AI use cases.
AI-Assisted Development
: Use tools like GitHub Copilot, Claude, or Cursor to accelerate coding, testing, and documentation.
Cloud-Native Integrations
: Build integrations and automation using AWS compute, storage, networking, and managed AI services.
Operations Ownership
: Manage deployment, release, monitoring, troubleshooting, and incident resolution.
Required
7+ years of professional experience in software, solution, or data engineering roles.
Proven track record of delivering production-grade systems in enterprise environments.
Deep hands-on
AWS
experience (compute, storage, networking, IAM, security, orchestration, monitoring, serverless/event-driven architectures).
Deep hands-on
Snowflake
experience (data modeling, SQL tuning, pipeline integration, governance, cost/performance optimization).
Strong proficiency in
Python
and/or
Java
with solid software design principles.
Familiarity with
AWS AI services
(e.g., Amazon Bedrock) and agent-based AI solution patterns.
Experience with
AI-assisted engineering tools
(Copilot, Claude, Cursor, etc.).
Knowledge of
CI/CD, infrastructure-as-code, DevOps practices, and production support
.
Ability to translate ambiguous business problems into clear technical scopes and measurable success criteria.
Peringatan Penting
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