Sr. DevOps Engineer / DevOps Architect

Salesforce•Ohio - Remote, TX

3d•$117,200 - $223,900•Hybrid

About The Position

Salesforce is seeking talented DevOps professionals, ranging from Senior DevOps Engineer to DevOps Architect, to support enterprise Salesforce implementations. This role involves advising, designing, and managing deployment orchestration solutions for complex Salesforce projects. The ideal candidate will collaborate closely with internal teams and clients, architecting and delivering tailored DevOps solutions. This is a hands-on position requiring both strategic architectural thinking and practical problem-solving skills, with a focus on designing resilient, high-volume systems while considering technical and enterprise-level factors. The role emphasizes an AI-first approach to development and DevOps workflows, leveraging AI developer assistants to enhance productivity and accelerate processes.

Requirements

6+ years of Salesforce platform experience (Senior DevOps Engineer) or 10+ years of CRM experience with at least 8 years on the Salesforce platform (DevOps Architect), with a focus on DevOps, release management, and CI/CD implementation.
Expert/strong knowledge of the Salesforce product suite, including Sales, Service, Experience, Industries (Vlocity), and Data Cloud.
Strong understanding of environment management, release management, version control best practices, and deployment methodologies.
Understanding of branching strategies (Git Flow, Trunk-based development, Feature branching).
Salesforce Development Lifecycle – Metadata API, SFDX (Salesforce DX), Salesforce CLI, Apex, SOQL, Lightning Web Components (LWC).
Salesforce Release & Deployment Strategies – Sandbox management, source-driven development, Change Sets, Unlocked & Managed Packages.
Experience with CI/CD tools: Copado, Flosum, Gearset, Azure DevOps, Jenkins, GitLab, CircleCI.
Experience with Version Control Systems – Git, GitHub, Bitbucket, GitLab, Azure Repos.
Experience with Docker image building, orchestration, and pipelines, and security integration into CI/CD.
Experience with test automation (Provar, Copado Robotic Testing, TOSCA, TestNG, Selenium, WebDriver, JUnit, JMeter, ApexUnit).
Experience with code quality/security tools (SonarQube, Checkmarx, PMD).
Understanding of performance monitoring tools (Salesforce Event Monitoring, CloudWatch, Azure Monitor).
Strong client-facing communication skills; ability to lead small/medium projects or support Architects on large-scale programs.
Ability to manage multiple priorities effectively.
Bachelor's degree in Computer Science, Technology, or equivalent experience.
Salesforce certifications (active or ability to obtain upon hire).
Must be a U.S. citizen (U.S. citizenship required for this role).

Responsibilities

Collaborate with client stakeholders to define requirements, deliverables, and manage expectations.
Assess existing DevOps processes, tools, and practices, recommending improvements.
Design, present, and implement best-fit DevOps solutions, considering customer needs, tool preferences, and commercial constraints.
Drive the selection and implementation of DevOps tools and technologies.
Lead DevOps design sessions, architect solutions, and document best practices (Architect level); lead setup and execution of DevOps frameworks for small-to-medium projects and support Architects on larger engagements (Senior Engineer level).
Develop and enforce DevOps frameworks and governance models for consistency across deployments.
Provide oversight and governance of Salesforce projects.
Ensure successful continuous delivery deployments across environments.
Support pre-sales activities, including discovery sessions, technical deep dives, and proof-of-concept (PoC) development.
Collaborate with Salesforce product teams to support client implementations.
Champion an AI-first development/DevOps workflow using advanced AI developer assistants (e.g., Cursor, Claude, GitHub Copilot) to accelerate Salesforce development, CI/CD pipelines, release automation, and deployment processes while maintaining platform security, performance, governance, and Salesforce best practices.
Practical fluency with AI coding assistants and modern development/DevOps ecosystems to maximize productivity, automate workflows, document implementations, and deliver secure, scalable, high-quality solutions.
Travel to client sites as needed (estimated 50-75%, Architect level).