Job Title:Devops Engineer
 Location: Austin,TX
Duration: 12 Months + Extension
Bill Rate: $78/hour
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD



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.

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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.