Enterprise Lead DevOps Engineer (Hybrid Onsite)

Quick Facts

• Role: Enterprise Lead DevOps Engineer (Hybrid Onsite)

• Duration: 10 months

• Interview: iLinc web cam interview

Description

Lead CI/CD automation across Salesforce, AWS, and Snowflake using Copado, Git, and Terraform. Own automated release governance, sandbox parity, and deployment gates, while building serverless AWS integrations and event-driven workflows. This is a hands-on role bridging CI/CD engineering and AWS development to enable secure, resilient continuous delivery.

Responsibilities

• Design and maintain CI/CD pipelines across Salesforce (Copado), AWS workloads (GitHub Actions, AWS CodePipeline), and analytics environments

• Architect Copado release workflows, including deployment stages, metadata validations, and org-to-org synchronization

• Develop, test, and deploy serverless applications and backend microservices on AWS (AWS Lambda, API Gateway, SQS/SNS, EventBridge) using Python or Node.js

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

• Provision and maintain infrastructure and application environments using CloudFormation and Terraform

• Support automated schema migrations and deployment pipelines for Snowflake

• Enforce Git/GitHub branching and pull request workflows, including merge conflict resolution across application code and IaC

• Integrate unit testing, linting, secrets management, and security vulnerability scanning into pipeline stages

• Oversee multi-tier sandbox seeding, data masking, and metadata parity

• 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 using Git/GitHub with branching governance

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

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

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

• Highly desired: 4+ years Salesforce DX (SFDX) and Metadata API management

• Desired: 3+ years Snowflake/schema migration release automation

• Highly desired: AWS certification (e.g., AWS Certified DevOps Engineer)

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