Enterprise Lead DevOps Engineer

Quick Facts

• Title: Enterprise Lead DevOps Engineer

• Location: Trenton, NJ (Hybrid Onsite)

• Contract Duration: 10 months

Description

Lead CI/CD automation across Salesforce, AWS, and Snowflake using Copado, Git, and Terraform. Build serverless AWS integrations (AWS Lambda) and drive automated release governance, sandbox parity, and deployment gates for secure multi-cloud delivery.

Responsibilities

• Design and maintain automated CI/CD pipelines across Salesforce (Copado), AWS workloads (GitHub Actions, 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 (AWS Lambda, API Gateway, SQS/SNS, EventBridge).

• Build and maintain event-driven integrations and secure data ingestion workflows connecting Salesforce, AWS (S3), and Snowflake.

• Develop, provision, and maintain infrastructure and application environments using CloudFormation and Terraform.

• Support automated schema migrations, objects, and deployment pipelines for Snowflake.

• Define and enforce enterprise Git/GitHub branching strategies, pull request workflows, and merge conflict resolutions across application code and IaC templates.

• Integrate 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 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

• 7+ years enterprise version control and release engineering (Git/GitHub, branching governance).

• 4+ years Salesforce CI/CD architecture and Copado release management.

• 5+ years AWS development and infrastructure (Lambda, S3, IAM, CloudFormation/Terraform).

• 5+ years scripting and pipeline automation (Python, Bash, GitHub Actions).

• 4+ years Salesforce DX (SFDX) and Metadata API management (highly desired).

• 3+ years Snowflake/schema migration release automation (desired).

• Bachelor’s or master’s degree in computer science, information technology, or related field.

• AWS certification (e.g., AWS Certified DevOps Engineer) is highly desired.

Benefits

Not specified in the posting.