Enterprise DevOps Engineer - Salesforce & AWS

Princeton IT Services
Trenton, NJ, United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Amazon Web Services Amazon S3 Application Release Automation Automation of Tests Bash Shell Cloud Computing Software Quality Data Infrastructure Data Masking DevOps Github
+32 more
HP Systems Insight Manager Identity and Access Management Python (Programming Language) Key Management Metadata Node.Js Release Management Copado Salesforce.Com Amazon Simple Notification Service (SNS) Enterprise Data Management Diagnostic Tools Scripting Delivery Pipeline Snowflake AWS Lambda Backend Git Cloudformation Servicebus Git Flow Infrastructure Automation Frameworks Information Technology Data Management Functional Programming Cloudwatch Api Gateway Amazon Simple Queue Service (SQS) Terraform Software Version Control Api Management Serverless Computing

Job description

We are seeking an experienced Enterprise DevOps Engineer to lead the architecture, automation, and governance of enterprise CI/CD pipelines across Salesforce, AWS cloud infrastructure, and supporting data platforms, including Snowflake. The role requires hands-on experience in Salesforce release management, AWS cloud development, infrastructure automation, and enterprise version control. The engineer will develop serverless backend services, API integrations, and event-driven automation while ensuring secure, reliable, and continuous software delivery. Responsibilities Design, implement, and maintain automated CI/CD pipelines across Salesforce, AWS workloads, and enterprise data platforms. Architect and manage automated release workflows using Copado, including deployment stages, metadata validations, and environment synchronization. Develop, test, and deploy serverless applications and backend services using Python or Node.js, AWS Lambda, API Gateway, SQS, SNS, and EventBridge. Build and maintain event-driven integrations connecting Salesforce, AWS services, and Snowflake. Provision and manage cloud infrastructure using AWS CloudFormation and Terraform. Support automated schema migrations and release pipelines for Snowflake and other enterprise data platforms. Establish and enforce Git/GitHub branching strategies, pull request workflows, and source code governance. Integrate automated testing, code quality checks, secrets management, and security vulnerability scanning into CI/CD pipelines. Manage sandbox environments, data seeding, data masking, and metadata consistency across Salesforce environments. Configure application monitoring, pipeline metrics, and operational telemetry using Amazon CloudWatch and Salesforce diagnostic tools. Develop and maintain technical documentation, deployment architecture diagrams, API documentation, and release governance standards. Required Skills and Experience

Requirements

7+ years of experience in enterprise version control and release engineering, including Git, GitHub, and branching governance. Experience in Salesforce CI/CD architecture and Copado release management. Experience in AWS development and infrastructure, including Lambda, S3, IAM, and CloudFormation or Terraform. Experience in scripting and pipeline automation using Python, Bash, and GitHub Actions. Bachelor’s or master’s degree in Computer Science, Information Technology, or a related field. Highly Desired Skills Experience with Salesforce DX (SFDX) and Metadata API management. AWS certifications, such as AWS Certified DevOps Engineer. Desired Skills Experience in data platform release automation, including Snowflake and schema migrations.

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