Enterprise Devops Engineer

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

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

Required Skills:
Enterprise Version Control & Release Engineering (Git, GitHub, Branching Governance) (7 Years)
Salesforce CI/CD Architecture & Copado Release Management (4 Years)
AWS Development & Infrastructure (Lambda, S3, IAM, CloudFormation/Terraform) (5 Years)
Scripting & Pipeline Automation (Python, Bash, GitHub Actions) (5 Years)

Preferred Skills:
Salesforce DX (SFDX) & Metadata API Management (4 Years)
Data Platform Release Automation (Snowflake / Schema Migrations) (3 Years)

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 AWS Lambda, 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, driving sandbox parity, deployment gates, and secure, resilient continuous delivery across multi-cloud environments

Job Duties:
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