Salesforce Platform Engineer

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. Key Responsibilities

• 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
• Pipeline Optimization & Performance 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
• Implement Git delta deployment strategies (branch-to-branch comparison) for efficient, component-level deployments
• 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
• Rollback, Hotfix & Revert Capabilities Design and implement automated rollback mechanisms within the pipeline to support last- minute release rollbacks
• Address Git cherry-pick limitations by establishing feature-branch and commit strategies that enable clean, isolated feature reverts
• Enable safe, low-risk hotfix and anytime deployment processes that do not disrupt ongoing releases
• Establish rollback runbooks and automated validation checks post-rollback
• Code Review & PR Automation Reduce manual bottlenecks in the pull request approval process through automation, tooling, and workflow improvements
• Implement automated PR checks (code quality gates, conflict detection, metadata validation) to reduce dependency on manual reviewer availability
• Integrate AI-assisted or rules-based code review tools to accelerate the review cycle
• Enforce branch policies and PR standards across all POD teams
• Environment Management & Sandbox Governance Design a scalable sandbox/environment strategy that supports multiple release trains in isolation
• Automate QA and UAT sandbox refresh processes, including management of external system dependencies
• Enforce feature branch hygiene policies including automated branch deletion post-merge to prevent conflicts and outdated code overwrites
• Document and enforce environment access controls and promotion gates
• Post-Deployment Validation & Feature Flags Automate post-deployment validation steps, including feature flag/dark-deploy state verification (hide/unhide functionality)
• Build automated verification pipelines to confirm flag states post-deployment, reducing manual intervention and human error
• Reduce deployment window durations through scripted, repeatable post-deployment steps
• Dependency Management Build tooling and processes to identify, document, and manage Salesforce component dependencies and inter-relationships across teams and releases
• Prevent deployment failures caused by missing or conflicting dependent components
• Integrate dependency mapping into pipeline gates and deployment planning
• Simplification & Developer Experience Reduce developer time spent on code migration between repos and orgs (current baseline: 20 30% of developer time)
• Simplify the DevOps infrastructure, tooling, and processes to reduce the steep learning curve for new POD teams onboarding
• Create self-service pipeline templates and onboarding guides for new scrum teams
• Actively reduce complexity of DevOps infrastructure to streamline maintenance and updates
• 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

• 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

• Experience with Salesforce release management tools such as Copado, Gearset, AutoRABIT, or Flosum
• Familiarity with YAML-based pipeline authoring in Azure DevOps
• Experience with self-hosted Azure DevOps agents configuration and maintenance
• Knowledge of Apex test optimization, parallel test execution, and test impact analysis
• Salesforce certifications (e.g., Salesforce Administrator, Platform Developer I/II, DevOps Center)
• Experience with AI-assisted code review tools or GitHub Copilot integrations
• Familiarity with Salesforce Flow, OmniStudio, or industry cloud deployments

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
• Long pipeline execution times (~20 30 min per deployment in lower orgs)
• 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 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
• Apex test execution time 40% reduction
• Post-deployment manual steps 80% reduction through automation

For applications and inquiries, contact:View email address on us.fitly.work