Salesforce DevOps Engineer (copado)-local to new jersey -14+ years

Lead CI/CD automation across Salesforce, AWS, and Snowflake using Copado, Git, and Terraform. Build serverless AWS integrations (Lambda) and drive automated release governance, sandbox parity, and deployment gates for secure multi-cloud delivery.

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The Enterprise DevOps Engineer leads the architecture, automation, and governance of enterprise CI/CD pipelines across Salesforce, AWS cloud infrastructure, and supporting data ecosystems (including Snowflake). In addition to pipeline automation, this role actively performs hands-on cloud development within AWS—building serverless backend services, API integrations, and event-driven automation that interface with enterprise systems. Utilizing Copado, Git, AWS CloudFormation, and Terraform , the engineer bridges software development and automated release engineering to ensure secure, resilient, and continuous delivery.

Key Responsibilities

• Design and maintain automated CI/CD pipelines across Salesforce (Copado), AWS workloads (GitHub Actions, AWS Code Pipeline), and analytics environments.
• Architect automated release workflows in Copado, standardizing deployment stages, metadata validations, and org-to-org synchronization.
• Develop, test, and deploy serverless applications and backend microservices in AWS using Python or Node.js (AWS Lambda, API Gateway, SQS/SNS, Event Bridge).
• Build and maintain event-driven integrations and secure data ingestion workflows connecting Salesforce, AWS storage/compute (S3), and Snowflake.
• Develop, provision, and maintain cloud infrastructure and application environments using CloudFormation and Terraform.
• Support automated schema migrations, objects, and deployment pipelines for enterprise cloud data platforms (Snowflake).
• Define and enforce enterprise Git/GitHub branching strategies, pull request workflows, and merge conflict resolutions across application code and IaC templates.
• Integrate automated unit testing, linting, secrets management, and security vulnerability scanning into pipeline deployment stages.
• Oversee multi-tier sandbox seeding, data masking, and metadata parity across enterprise environments.
• Configure application telemetry, pipeline metrics, and operational monitoring across Amazon CloudWatch and Salesforce diagnostic tools.
• Author runbooks, API documentation, deployment architecture diagrams, and release governance standards.

Required/Desired Skills

Skill

Required /Desired

Amount

of Experience

Enterprise Version Control & Release Engineering (Git, GitHub, Branching Governance)

Required

7

Years

Salesforce CI/CD Architecture & Copado Release Management

Required

4

Years

AWS Development & Infrastructure (Lambda, S3, IAM, CloudFormation/Terraform)

Required

5

Years

Scripting & Pipeline Automation (Python, Bash, GitHub Actions)

Required

5

Years

Salesforce DX (SFDX) & Metadata API Management

Highly desired

4

Years

Data Platform Release Automation (Snowflake / Schema Migrations)

Desired

3

Years

AWS Certifications (e.g., AWS Certified DevOps Engineer)

Highly desired

1

Years

Bachelor's or master's degree in computer science, information technology, or a related field

Required

4

Years