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
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
Preferred Qualifications
• 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
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:
truth
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
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
Apex test execution time ≥ 40% reduction
Post-deployment manual steps ≥ 80% reduction through automation
