Copado DevOps Engineer
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Role details
Tech stack
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Job description
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., 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., * 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.
Requirements
Enterprise Version Control & Release Engineering (Git, GitHub, Branching Governance) Required 10 Years Salesforce CI/CD Architecture & Copado Release Management Required 6 Years AWS Development & Infrastructure (Lambda, S3, IAM, CloudFormation/Terraform) Required 6 Years Scripting & Pipeline Automation (Python, Bash, GitHub Actions) Required 5 Years Salesforce DX (SFDX) & Metadata API Management Highly desired 6 Years Data Platform Release Automation (Snowflake / Schema Migrations) Desired 3 Years AWS Certifications (e.g., AWS Certified DevOps Engineer) Highly desired 1 Years Bachelorβs or masterβs degree in computer science, information technology, or a related field Required 4 Years
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