Start Your Search Here

Job Search

ScienTec Personnel

Singapore / Global

Cloud Solutions Engineer (AWS / Terraform)

Job Description

Job Description

We are looking for a motivated

Cloud Solutions Engineer

with a strong technical background to support organisations in adopting modern

developer productivity, DevOps and AI-assisted software development platforms .

In this role, you will work closely with engineering teams, product teams and customers to understand their technical environments, identify opportunities to improve developer workflows, and implement solutions that enhance software delivery efficiency.

You will be involved in

solutioning, Proof-of-Concepts (POCs), CI/CD modernisation, cloud-native technologies, AI coding assistants, technical troubleshooting and customer enablement . This is a hands-on role suitable for someone who enjoys working at the intersection of

software engineering, DevOps and technical consulting .

Working Hours: Mon-Fri

Working Location: Punggol

Job Type: Contract

Salary Package: Up to $10,000 (basic)+ AWS

Key Responsibilities

Engage engineering and development teams to understand their

developer productivity goals, technical architecture, existing tools, workflows and software delivery processes .

Analyse existing development practices and identify opportunities to improve

developer experience, delivery efficiency and DevOps maturity .

Design and recommend technical solutions that address customer requirements and improve development and deployment workflows.

Support

Proof-of-Concept (POC)

initiatives to validate proposed solutions and technologies.

Provide hands-on support during early implementation, onboarding and migration phases to enable successful adoption and rollout.

Support migration and modernisation of existing

CI/CD, source-code management and project collaboration tools .

Configure and optimise source-code repositories, development environments and pipelines to support modern and

AI-assisted development practices .

Guide development teams in using

AI coding assistants

for activities such as code generation, unit testing, API testing, UX testing and development productivity.

Troubleshoot technical issues across developer platforms, CI/CD pipelines, cloud environments and integrations, providing appropriate workarounds or resolutions.

Design and develop

small tools, scripts, reusable components and automation utilities

to remove technical blockers and improve engineering productivity.

Develop and enhance

CI/CD pipeline templates, migration utilities, dashboards and platform integrations .

Work with engineering teams to define and integrate relevant

developer productivity and DevOps metrics

into dashboards and reporting solutions.

Conduct technical briefings, workshops and training sessions to support platform adoption and user enablement.

Work closely with Product and Engineering teams to analyse user feedback, troubleshoot issues and translate requirements into platform improvements.

Contribute to technical documentation, implementation guides, knowledge bases and reusable best practices.

Collaborate with other technical consultants and engineers to share knowledge, reusable solutions and implementation approaches.

Requirements

Degree in

Computer Science, Software Engineering, Information Technology

or a related discipline, or equivalent practical experience.

At least

3 years of experience in a technical role , such as Solution Consultant, Software Engineer, DevOps Engineer, Platform Engineer or Customer Success Engineer.

Strong software engineering fundamentals with the ability to write

clean, maintainable and efficient code .

Hands-on programming or scripting experience with technologies such as

Node.js, Python or Go .

Familiarity with application development technologies such as

Java, .NET, Node.js, Python and/or Go .

Hands-on experience designing, building and deploying applications on cloud platforms such as

AWS, Microsoft Azure or Google Cloud Platform .

Experience working with

containers and Kubernetes-based environments .

Strong hands-on experience with

CI/CD tools and practices , such as GitLab CI/CD, Jenkins, GitHub Actions or Azure DevOps.

Experience with source-code management, repositories, automated testing and modern software delivery practices.

Hands-on exposure to

AI coding assistants and AI-assisted software development , such as Claude, GitHub Copilot, Codex or similar tools.

Ability to troubleshoot technical issues across applications, development platforms, pipelines and cloud environments.

Strong analytical and problem-solving skills, with the ability to identify and address bottlenecks in development and delivery processes.

Excellent communication and stakeholder-management skills with a

customer-oriented and consultative approach .

Comfortable conducting technical demonstrations, workshops, training and enablement sessions.

Self-driven and adaptable, with the ability to work independently while collaborating effectively across engineering, product and customer teams.

Good to Have

Experience in

developer experience (DevEx), developer productivity or internal developer platforms .

Experience implementing or supporting

developer portals, platform engineering solutions or self-service developer platforms .

Knowledge of

Kubernetes, container platforms and cloud-native architectures .

Experience developing reusable

CI/CD templates, automation scripts or migration tooling .

Exposure to developer productivity metrics, engineering analytics or

DevOps performance dashboards .

Experience supporting large-scale enterprise technology platforms or complex multi-team engineering environments.

Strong interest in

Generative AI, AI-native software development, coding agents and emerging developer tooling .

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec's Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

Contact you about potential opportunities.

Delete personal data as it is not required at this application stage.

All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Elane Yap Theng Yu- R1989397

ScienTec Consulting Pte Ltd - 11C5781

Apply Now

Similar Opportunities

View all jobs