Solutions Engineer _Python,Snowflack,Java

SPI GLOBAL CONTENT HOLDING PTE. LTD.; Singapore; On-site; SGD 150,000 - 190,000; Full time

Job summary

SPI GLOBAL CONTENT HOLDING PTE. LTD. is seeking a hands-on Senior Solution Engineer to design, build, and operate robust cloud-native data and AI solutions, leveraging AWS and Snowflake to deliver production-grade systems end-to-end.

You will own architecture, data pipelines, governance, and performance tuning, collaborate with stakeholders to enable advanced analytics and AI use cases, and apply modern DevOps practices with tools like Copilot, Claude, and Cursor.

Qualifications

• 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.

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.

Skills

Python

Java

CI/CD

DevOps

Data engineering

Cloud architecture

Tools

AWS

Snowflake

GitHub Copilot

Claude

Cursor

Bedrock

CI/CD tooling

Job description

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.