Senior Cloud Architect/Engineer

Machine Intelligence Technologies, LLC; San Francisco, Northern (CA, KY); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Equal opportunity employer

Job summary

MACHINE INTELLIGENCE TECHNOLOGIES LLC is seeking a highly experienced Senior Cloud Architect/Engineer to design and implement secure Salesforce CI/CD pipelines using Copado. You will embed security tooling (SCA, SAST, DAST) into the delivery lifecycle and collaborate with developers, admins, and security teams to ensure compliant deployments.

The role requires deep cloud security practices, architecture leadership, and mentoring of engineering teams in DevSecOps.

Qualifications

• Over 10 years in cloud engineering/architecture with 5+ years in Salesforce DevOps/DevSecOps.
• Proven hands-on with Copado for Salesforce CI/CD.
• Deep knowledge of DevSecOps with SCA, SAST, DAST, and code quality tooling.
• Experience with AWS, Azure, or Google Cloud in Salesforce integrations.
• Familiarity with SOC2, GDPR, HIPAA compliance for cloud solutions.
• Excellent communication and leadership for stakeholders.

Responsibilities

• Architect and implement secure Salesforce CI/CD pipelines using Copado or similar platforms.
• Embed security checks at every stage of the delivery lifecycle.
• Configure and manage SCA, SAST, DAST, and code quality scanners (SonarQube, PMD, ESLint).
• Design scalable, secure Salesforce cloud environments with governance.
• Lead cloud automation and release management to optimize deployment velocity.
• Collaborate with Salesforce developers, admins, cloud engineers, and security teams.
• Provide strategic architectural guidance for Salesforce and cloud-native DevSecOps practices.
• Mentor teams on DevSecOps best practices and security in Salesforce deployments.

Skills

Cloud architecture

Salesforce DevOps/DevSecOps

CI/CD automation

Security governance

Tools

Copado

SCA

SAST

DAST

SonarQube

PMD

ESLint

Job description

Location - remote

Long term only on w2

Note: DevSecOps on Salesforce, Copado or other CI/CD platform for salesforce, tools : SCA, SAST, DAST, code quality knowledge.

We are seeking a highly experienced Senior Cloud Architect/Engineer with deep expertise in Salesforce DevSecOps, CI/CD automation, and cloud security practices . This role is responsible for architecting and implementing secure, automated pipelines for Salesforce deployments using Copado , while embedding security and compliance tooling (SCA, SAST, DAST, code quality checks) into the delivery lifecycle.

Responsibilities:

• Architect and implement secure Salesforce CI/CD pipelines leveraging Copado or similar platforms.
• Integrate DevSecOps practices into Salesforce cloud delivery, embedding security checks at every stage.
• Configure and manage tools such as SCA, SAST, DAST , and code quality scanners (SonarQube, PMD, ESLint).
• Design scalable, resilient, and compliant Salesforce cloud environments with a focus on security and governance.
• Lead cloud automation and release management initiatives , optimizing deployment velocity and minimizing risks.
• Partner with Salesforce developers, admins, cloud engineers, and security teams to ensure compliant and secure delivery .
• Provide strategic architectural guidance for Salesforce and cloud-native DevSecOps practices.
• Mentor and guide engineering teams on best practices in DevSecOps, cloud security, and Salesforce CI/CD automation .

Qualifications:

• 10+ years in cloud engineering/architecture with 5+ years in Salesforce DevOps/DevSecOps roles.
• Strong hands-on expertise in Copado for Salesforce CI/CD.
• Deep knowledge of DevSecOps principles with experience implementing SCA, SAST, DAST, and code quality tools.
• Proficiency in cloud platforms (AWS, Azure, or Google Cloud Platform) in the context of Salesforce integration and deployments.
• Strong background in Salesforce technologies: Apex, Lightning Web Components (LWC), APIs, and metadata model .
• Familiarity with compliance frameworks (e.g., SOC2, GDPR, HIPAA) for Salesforce cloud solutions.
• Exceptional communication and leadership skills for working with technical and non-technical stakeholders.

MACHINE INTELLIGENCE TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE INTELLIGENCE TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE INTELLIGENCE TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract