Salesforce Platform Engineering / Senior Salesforce DevOps Engineer

Lorven Technologies Inc.; Chicago (IL); Hybrid; USD 140,000 - 200,000; Full time

Job summary

Lorven Technologies Inc. is seeking an experienced Salesforce DevOps Engineer to lead our modernization of CI/CD for Salesforce in a large enterprise. You will optimize org/repo synchronization, build scalable pipelines, and drive automated deployments across multi-release trains.

The role requires deep Salesforce DX expertise, Azure DevOps proficiency, and strong scripting skills to enable rapid, reliable delivery in a hybrid Chicago environment.

Qualifications

• 5+ years of Salesforce DevOps or release engineering.
• Hands-on with Azure DevOps (Pipelines, Repos, Boards, Artifacts).
• Expertise in SFDX, Salesforce CLI, and metadata deployments.
• Git with GitFlow or trunk-based strategies; merge conflicts management.
• Experience with delta deployment tools (Copado, Gearset, SFDX Git Delta).
• DevOps governance in a large Salesforce org with 1000+ users and multiple teams.
• Scripting: Bash, Python or PowerShell for automation.
• Knowledge of SonarQube and SNYK integration in CI/CD pipelines.

Responsibilities

• Automate org-to-repo synchronization and establish a reliable source of truth.
• Design deployment strategies and reduce CI/CD execution times.
• Develop environment strategies for multiple release trains and isolation of streams.
• Lead DevOps enablement across 10+ POD/Scrum teams and conduct trainings.
• Implement automated rollback, feature flags, and streamlined PR processes.

Skills

Azure DevOps

Salesforce DX

Salesforce CLI

Git version control

SFDX

SNYK

SonarQube

Bash/Python/PowerShell

Tools

Copado

Gearset

Git Delta

Azure Pipelines

Job description

Salesforce Platform Engineering / Senior Salesforce DevOps Engineer

Location: Chicago, IL - Hybrid (Onsite -Tuesday to Thursday)

Job Type: Contract

About the Role:

• We are seeking an experienced Senior Salesforce DevOps Engineer to join a large-scale,
• enterprise Salesforce delivery organization operating with 10+ POD/Scrum teams.
• This role is critical to modernizing, stabilizing, and scaling our Salesforce DevOps practices on Azure DevOps.
• The ideal candidate will bring deep Salesforce CI/CD expertise, strong problem-solving skills, and a passion for engineering excellence.
• They will be responsible for diagnosing and resolving significant existing challenges in our release pipeline and driving long-term improvements across the DevOps lifecycle.

Repository & Org Synchronization

• Establish and enforce a reliable, automated source of truth between Salesforce orgs and the Azure DevOps Git repository
• Design and implement processes to ensure Production org and Master branch are always in sync
• Eliminate code overwrite and rework caused by org/repo inconsistencies
• Architect org-from-repo deployment strategies to ensure environments are always created/refreshed from version-controlled source
• Redesign and optimize CI/CD pipelines to significantly reduce overall execution time (current baseline: 20–30 minutes for single-component deployments)
• Implement shallow clones, artifact caching, and incremental checkout strategies to address large repository sizes (~4.5GB)
• Introduce dedicated build agents/runners to eliminate shared-agent contention
• Optimize dependency installation, SonarQube, and SNYK scan execution within pipelines
• Reduce Apex test class execution time (current baseline: ~6 hours) through parallel test execution, test selection optimization, and test impact analysis strategies
• Release Management & Multi-Train Support
• Design and manage DevOps processes supporting multiple release trains: Major Release (6- week), Short Sprint (2-week), Anytime/Micro, Hotfix, and Hypercare (1-week post-MR)
• Architect environment strategies to isolate different release streams — eliminating the risk of shared UAT environment conflicts across concurrent release tracks
• Establish clear environment promotion paths and minimize back-sync conflicts when syncing changes from Production
• Support increasing release frequency and volume with scalable, repeatable pipeline automation

Training & Knowledge Enablement:

• Bridge knowledge gaps across development teams in CI/CD tooling, conflict resolution, and DevOps best practices
• Develop and deliver training sessions, workshops, and documentation for Salesforce developers across POD teams
• Build a DevOps community of practice to share knowledge and standardize practices across the 10+ scrum teams

Required Qualifications:

• 5+ years of experience in Salesforce DevOps engineering, platform engineering, or release engineering
• Deep hands‑on expertise with Azure DevOps (Pipelines, Repos, Boards, Artifacts)
• Strong experience with Salesforce DX (SFDX), Salesforce CLI, and metadata API‑based deployments
• Proficiency in Git version control, branching strategies (GitFlow, trunk‑based), and merge conflict resolution
• Experience with delta deployment tools (e.g., SFDX Git Delta, Copado, Gearset, or equivalent)
• Experience in establishing, building and maintaining DevOps process & Governance in a large enterprise Salesforce org (1000+ end users) delivery with 5+ POD/Scrum teams
• Hands‑on experience with SonarQube and SNYK (or equivalent SAST/SCA tools) integration in CI/CD pipelinesExperience managing Salesforce sandbox environments, refreshes, and org strategy design
• Strong scripting skills: Bash, Python, or PowerShell for pipeline automation
• Demonstrated experience supporting multi-team, multi-release-train delivery models
• Familiarity with feature flags / dark deployment patterns in Salesforce
• Strong understanding of Salesforce metadata types, component relationships, and dependency management

Key Challenges This Role Will Address:

• This role has been specifically created to resolve critical pain points in our current DevOps Setup.
• The successful candidate will be expected to develop and execute a roadmap to address
• the following:
• Org/Repository synchronization gaps causing code overwrites and lack of a clear source of truth
• Developer productivity loss (20–30% of time on manual code migration)
• High pipeline complexity and steep learning curves for new teams
• Slow, manual PR review and approval processes
• Difficulty executing hotfixes and anytime deployments
• Missing automated rollback mechanisms and unreliable cherry‑pick revert strategies
• Shared UAT environment conflicts across multiple concurrent release trains
• Manual post‑deployment validation steps for dark‑deployed features
• Long Apex test suite execution times (~6 hours)
• Outdated/undeleted feature branches causing code conflicts
• Knowledge gaps and CI/CD literacy challenges across development teams
• QA/UAT sandbox refresh complexity with external system dependencies
• Component dependency identification and inter‑relationship management

Success Metrics (First 12 Months):

• Success Metric Target
• Pipeline execution time reduction ≥ 50% reduction from current baseline
• Developer time on code migration Reduced to < 5%
• Org/repo synchronization Process established and fully automated
• Automated rollback mechanism Implemented and tested
• Shared-environment deployment conflicts Zero conflicts across release trains
• POD team pipeline onboarding All 10+ teams on standardized templates
• Post‑deployment manual steps ≥ 80% reduction through automation

Salesforce Platform Engineering / Senior Salesforce DevOps Engineer

Repository & Org Synchronization

• Establish and enforce a reliable, automated source of truth between Salesforce orgs and the Azure DevOps Git repository
• Design and implement processes to ensure Production org and Master branch are always in sync
• Eliminate code overwrite and rework caused by org/repo inconsistencies
• Architect org-from-repo deployment strategies to ensure environments are always created/refreshed from version-controlled source
• Redesign and optimize CI/CD pipelines to significantly reduce overall execution time (current baseline: 20–30 minutes for single-component deployments)
• Implement shallow clones, artifact caching, and incremental checkout strategies to address large repository sizes (~4.5GB)
• Introduce dedicated build agents/runners to eliminate shared‑agent contention
• Optimize dependency installation, SonarQube, and SNYK scan execution within pipelines
• Reduce Apex test class execution time (current baseline: ~6 hours) through parallel test execution, test selection optimization, and test impact analysis strategies
• Release Management & Multi-Train Support
• Design and manage DevOps processes supporting multiple release trains: Major Release (6- week), Short Sprint (2-week), Anytime/Micro, Hotfix, and Hypercare (1-week post-MR)
• Architect environment strategies to isolate different release streams — eliminating the risk of shared UAT environment conflicts across concurrent release tracks
• Establish clear environment promotion paths and minimize back‑sync conflicts when syncing changes from Production
• Support increasing release frequency and volume with scalable, repeatable pipeline automation

Required Qualifications:

• 5+ years of experience in Salesforce DevOps engineering, platform engineering, or release engineering
• Deep hands‑on expertise with Azure DevOps (Pipelines, Repos, Boards, Artifacts)
• Strong experience with Salesforce DX (SFDX), Salesforce CLI, and metadata API‑based deployments
• Proficiency in Git version control, branching strategies (GitFlow, trunk‑based), and merge conflict resolution
• Experience with delta deployment tools (e.g., SFDX Git Delta, Copado, Gearset, or equivalent)
• Experience in establishing, building and maintaining DevOps process & Governance in a large enterprise Salesforce org (1000+ end users) delivery with 5+ POD/Scrum teams
• Hands‑on experience with SonarQube and SNYK (or equivalent SAST/SCA tools) integration in CI/CD pipelines
• Experience managing Salesforce sandbox environments, refreshes, and org strategy design
• Strong scripting skills: Bash, Python, or PowerShell for pipeline automation
• Demonstrated experience supporting multi-team, multi-release-train delivery models
• Familiarity with feature flags / dark deployment patterns in Salesforce
• Strong understanding of Salesforce metadata types, component relationships, and dependency management