Sonar Source

4 weeks ago

Forward Deployed Engineer, ML

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 minutes agoStatus: Live

Job Summary

Architect and deploy AI Development Life Cycle (AI-SDLC) solutions for strategic enterprise customers, integrating Sonar into their CI/CD and AI-assisted workflows. Establish governance, quality gates, and security checks across the prompt-to-production lifecycle, translate Sonar findings into developer-friendly practices, and help customers optimize token costs. Build reusable deployment playbooks and deliver workshops, architecture reviews, and executive briefings to drive rapid adoption.

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Partner with engineering and platform teams to establish a repeatable AI-SDLC framework, embedding governance, quality gates, and security checks across the development lifecycle.
•Lead hands-on integration of Sonar products into customer CI/CD pipelines and AI-assisted workflows, configuring rules, quality profiles, and security policies for each customer.
•Advise customers on eliminating technical debt and vulnerabilities surfaced by AI-generated code, creating developer-friendly workflows that catch issues before production.
•Help customers instrument and optimize AI toolchain spend by defining context strategies, caching patterns, and quality gates to reduce redundant generation cycles.
•Build reusable deployment playbooks and libraries, develop technical relationships with client engineering teams, and serve as an internal consultant to product, research, and sales.

Key Requirements

•Bachelor’s degree in Computer Science or a related field.
•2+ years in a technical, customer-facing role such as Forward Deployed Engineer, Solutions Engineer, or Software/ML Engineer with consulting experience.
•Hands-on experience with CI/CD pipelines and AI development workflows, delivering complex production environments.
•Fluency in modern AI coding models and Python, plus deployment technologies including Docker and Kubernetes and cloud AI platforms (SageMaker, Vertex AI, Azure AI).
•Ability to explain complex model performance and system architecture to engineers and executives, translating technical details into business value.

Experience:2+ years

Education:Bachelor's

Skills:CommunicationAdvisingCustomer-facing collaborationTechnical problem solving

Tech Stack:PythonDockerKubernetesSageMakerVertex AIAzure AICI/CDSonarQubeSonarSweepClaude CodeCodexCursorGitHub CopilotGeminiDevinAI coding modelsPrompt engineeringCode generation

Company Brief

Sonar Source

Builds static code analysis and continuous inspection tools (SonarQube, SonarCloud, SonarLint) that identify bugs, vulnerabilities, and code smells across multiple languages to help teams improve code quality and maintainability.

Industry: Developer Tools

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Headquarters: Geneva, Switzerland

Founded: 2008

Website LinkedIn

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Sonar Source

4 weeks ago

Forward Deployed Engineer, ML

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 minutes agoStatus: Live

Job Summary

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Partner with engineering and platform teams to establish a repeatable AI-SDLC framework, embedding governance, quality gates, and security checks across the development lifecycle.
•Lead hands-on integration of Sonar products into customer CI/CD pipelines and AI-assisted workflows, configuring rules, quality profiles, and security policies for each customer.
•Advise customers on eliminating technical debt and vulnerabilities surfaced by AI-generated code, creating developer-friendly workflows that catch issues before production.
•Help customers instrument and optimize AI toolchain spend by defining context strategies, caching patterns, and quality gates to reduce redundant generation cycles.
•Build reusable deployment playbooks and libraries, develop technical relationships with client engineering teams, and serve as an internal consultant to product, research, and sales.

Key Requirements

•Bachelor’s degree in Computer Science or a related field.
•2+ years in a technical, customer-facing role such as Forward Deployed Engineer, Solutions Engineer, or Software/ML Engineer with consulting experience.
•Hands-on experience with CI/CD pipelines and AI development workflows, delivering complex production environments.
•Fluency in modern AI coding models and Python, plus deployment technologies including Docker and Kubernetes and cloud AI platforms (SageMaker, Vertex AI, Azure AI).
•Ability to explain complex model performance and system architecture to engineers and executives, translating technical details into business value.

Experience:2+ years

Education:Bachelor's

Skills:CommunicationAdvisingCustomer-facing collaborationTechnical problem solving

Tech Stack:PythonDockerKubernetesSageMakerVertex AIAzure AICI/CDSonarQubeSonarSweepClaude CodeCodexCursorGitHub CopilotGeminiDevinAI coding modelsPrompt engineeringCode generation

Company Brief

Sonar Source

Industry: Developer Tools

Company Size: Large (251 to 1,000 employees)

Growth: Established Company

Headquarters: Geneva, Switzerland

Founded: 2008

Website LinkedIn