About this role
Job Summary Role: Senior Solutions Engineer – AWS & Snowflakes Start: ASAP Duration: 12 Months Location: Singapore We are seeking a Senior Solution Engineer to design, build, and operate enterprise-grade cloud-native data and AI solutions. This role requires strong software engineering expertise combined with hands-on experience in AWS and Snowflake to deliver scalable, secure, and well-governed data platforms. The ideal candidate is a hands-on engineer with experience developing data products, cloud services, and AI-enabled solutions across the full software development lifecycle. Requirements: - Bachelor's Degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, Machine Learning, Information Technology, or a related discipline. - Minimum 8 years of experience in Software Engineering, Solution Engineering, Data Engineering, or similar hands-on technical roles. - Experience working within regulated industries such as Financial Services, Banking, Insurance, Capital Markets, or other data-sensitive sectors is preferred. Mandatory Skills - Deep hands-on experience with AWS cloud services, including compute, storage, networking, security, IAM, monitoring, orchestration, and serverless technologies. - Strong hands-on Snowflake experience including data modeling, schema design, SQL optimization, data governance, access control, performance tuning, and platform administration. - Strong proficiency in Python and/or Java. - Strong understanding of software architecture, APIs, object-oriented design, and software engineering principles. - Familiarity with AI-assisted development tools such as GitHub Copilot, Claude, Cursor, or similar. Nice-to-Have Skills - Experience with Amazon Bedrock and AWS AI services. - Knowledge of Agentic AI architectures, Retrieval-Augmented Generation (RAG), model evaluation, AI guardrails, and responsible AI practices. - Exposure to Docker, Kubernetes, and containerized deployments. - Experience with Terraform, CloudFormation, or other Infrastructure-as-Code tools. - Understanding of financial systems, regulatory requirements, data governance, and enterprise risk controls. Roles and Responsibilities: - Design, develop, deploy, and support production-grade software, data, and AI solutions from architecture through operations. - Build scalable, secure, and reliable data pipelines and data products using AWS and Snowflake. - Design, optimize, and maintain Snowflake data models, schemas, datasets, and data structures to support analytics and business requirements. - Implement software engineering best practices including clean coding, automated testing, CI/CD, observability, security, and maintainable architecture. - Collaborate with business and technical stakeholders to translate requirements into scalable data and technology solutions. - Develop cloud-native integrations and automation using AWS services and event-driven architectures. - Leverage AI-assisted engineering tools to improve development efficiency, testing, documentation, debugging, and solution delivery. - Support deployment, release management, production operations, troubleshooting, root-cause analysis, performance tuning, and incident resolution. - Conduct code reviews, promote engineering best practices, and contribute to continuous improvement initiatives. - Ensure solutions adhere to governance, security, risk, and compliance requirements. Please send your application highlighting: - Your relevant experience - Current/expected salary - Availability information - A latest MS-WORD Resume **We regret that only short-listed applicants will be contacted.** GECO Asia values the data privacy rights of our customers, associates, partners and prospective applicants. We have a privacy policy that governs our collection and use of personal data in place. In conjunction with the PDPA act in Singapore, we have updated our Privacy Policy and Terms of Use to better clarify our collection and use of your personal information. The same can be found here (https://www.geco.asia/about/privacy-policy) Note: GECO Asia is an Information Technology Consulting Services provider. We provide specialist IT and Digital Transformation specialist resources on a project (SOW) and/or permanent basis. We operate under a Comprehensive License offered by Ministry of Manpower, Singapore. [GECO Asia Pte Ltd, License No. 07C4453] [2 Venture Drive, #10-18 Vision Exchange, Singapore 608526]
What they're looking for
Machine LearningAWSArtificial IntelligenceData Engineering
About Geco Asia Pte. Ltd.
Frequently asked questions
What does a Senior Solutions Engineer – AWS & Snowflakes at Geco Asia Pte. Ltd. do?
Job Summary Role: Senior Solutions Engineer – AWS & Snowflakes Start: ASAP Duration: 12 Months Location: Singapore We are seeking a Senior Solution Engineer to design, build, and operate enterprise-grade cloud-native data and AI solutions. This role requires strong software engineering expertise com…
What skills does this Senior Solutions Engineer – AWS & Snowflakes role need?
Key skills for this role include Machine Learning, AWS, Artificial Intelligence, Data Engineering.
How much does a Senior Solutions Engineer – AWS & Snowflakes at Geco Asia Pte. Ltd. pay?
This role lists a salary of S$9,000 – S$11,000 per month.
Is this Senior Solutions Engineer – AWS & Snowflakes role remote, hybrid, or on-site?
The listing is based in Islandwide. Check the posting for remote or hybrid options.
How do I apply for this Senior Solutions Engineer – AWS & Snowflakes role?
You can apply directly on Geco Asia Pte. Ltd.'s careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.
