Enterprise DevOps Engineer

Title: Enterprise DevOps Engineer Location: Trenton, NJ Duration: 8+ Months Interview Type: Either Webcam or In-person. Note: Within a 1-hour commute to Client Location Candidates MUST have all the required skills listed including Salesforce, Copado and AWS Interview process: Recruiter screen (request made via SMS/email); Client interview Candidates should be prepared for an ONSITE INTERVIEW within 2-business days of the request Job Description We are looking for an Enterprise DevOps Engineer to lead the architecture, automation, and governance of enterprise CI/CD pipelines across Salesforce, AWS cloud infrastructure, and supporting data ecosystems, including Snowflake. This position will be a contract and hybrid role with 3 days onsite and 2 days remote in Trenton, NJ. Local candidates only, please. Responsibilities: Lead architecture, automation, and governance of enterprise CI/CD pipelines across Salesforce, AWS, and supporting data ecosystems including Snowflake Design and maintain automated CI/CD pipelines across Salesforce using Copado, AWS workloads using GitHub Actions and AWS CodePipeline, 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 and services including AWS Lambda, API Gateway, SQS, SNS, and EventBridge Build and maintain event-driven integrations and secure data ingestion workflows connecting Salesforce, AWS storage and compute services, 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 including Snowflake Define and enforce enterprise Git and GitHub branching strategies, pull request workflows, and merge conflict resolution processes across application code and infrastructure as code templates Integrate automated unit testing, linting, secrets management, and security vulnerability scanning into deployment pipelines 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: Bachelor's or master's degree in computer science, information technology, or a related field 7 years of enterprise version control and release engineering experience using Git, GitHub, and branching governance 4 years of Salesforce CI/CD architecture and Copado release management experience 5 years of AWS development and infrastructure experience including Lambda, S3, IAM, CloudFormation, and Terraform 5 years of scripting and pipeline automation experience using Python, Bash, and GitHub Actions Preferred: 4 years of Salesforce DX (SFDX) and Metadata API management experience 3 years of data platform release automation experience including Snowflake and schema migrations AWS Certified DevOps Engineer certification or similar AWS certification LinkedIn profile if available Salesforce Trailblazer profile if available Physical Demands Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state and local standards Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc. Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor