Senior Platform Engineer

We are seeking a Senior Platform Engineer with experience in developing, deploying, and maintaining DevOps tooling and infrastructure to make the software delivery system run seamlessly. The Senior Platform Engineer will be responsible for implementing cloud platforms and DevOps tooling to improve the developer experience. The ideal candidate will have a foundational knowledge of containerization, CI/CD patterns, scriptwriting, and knowledge of distributed systems and architectures.

• Build scalable infrastructure to manage CI systems (both GCP and AWS) and applications.
• Minimize risk of reliability related failure outcomes as pertaining to durability, availability, performance.
• Contribute to building automation tools to detect and remediate system health and prevent those issues from reoccurring.
• Contribute to building automation to help with capacity planning to scale cloud infrastructure.
• Advocate for the build and deploy applications using Containers, Kubernetes, and server-less technologies.
• Partner with architecture and development teams when creating and automating cloud native technologies, deploying applications, and provisioning cloud native infrastructure.
• Experience working with software development team that create microservices and distributed applications.
• Implement and advocate the enterprise CI/CD strategy with the use of Orchestration tools, code repos, antifactory, test automation integrations, code security scans, and various tool chains.
• Establish repeatable design patterns using code.
• Partner with Architecture to establish enterprise standards and governance as it relates to developer tool sets and experiences.
• Aggressively work to operationalize the support of newly developed software with our technical service delivery partners.
• Partner with Software Engineering teams on improving the build-deploy capabilities associated with CI/CD and associated DevOps standards improving the software engineering tools & processes.
• Partner with Software Engineering and QA to continually improve the SDLC process for fast feedback loops and shorter code release cycles.
• Automation mindset (scripting, UIPath, Power Automate, Power BI, etc.)
• Providing level-3 support in triaging and debugging of CI pipelines, build failures, and other supporting services.
• Participate in periodic on-call duty to handle availability and efficiency of the continuous integration infrastructure.
• Gather context while following runbooks and standard process to create incident tickets and escalate as necessary.
• Updating defined runbooks and standard processes as needed.

Salesforce

• Create new automated processes using tools such as: SFDX, Gearset, Github, Azure DevOps.
• Maintain existing automated deployment processes.
• Implement code quality tools such as Salesforce Code Analyzer, Salesforce Graph Engine, PMD, and ESLint
• Collaborate with development teams to source technical platform requirements.
• Provide training to development teams.
• Complete system-wide manual configurations in sandbox and production Salesforce orgs.
• Install and configure managed packages.
• Create and configure sandbox environments.
• Assist development teams with manual configurations when automated metadata deployments are not supported.

Requirements

• BS or higher in Computer Science or equivalent technical experience.
• Eight (8) plus years of working knowledge of DevOps and application deployment processes.
• Four (4) plus years experience configuring and debugging automated CI/CD pipelines (experience with GitHub is preferred).
• Fundamental knowledge of version control (Git).
• Demonstrated scripting experience (Shell, Bash, Python).
• Experience integrating CI with GCP cloud infrastructure.
• Excellent troubleshooting and system / network debugging skills.
• Advanced knowledge of Scaled Agile Frame Work (SAFe)
• Excellent verbal and written communication skills.
• Experience with Terraform and YAML are preferred; CloudFormation or Cloud Deployment Manager, are acceptable.
• Experience with microservices, distributed applications, and various development patterns.
• Working experience with AWS and/or GCP.
• Knowledge of Kubernetes and Docker.
• Define and implement application metrics for proactive issue identification and performance bottlenecks.
• Keep up with the latest trends and tools in this field to ensure their organizations remain competitive.
• Experience leveraging automation toolsets such as with UIPath, Powershell scripting, bash scripting, Power Automate, etc.
• Automating solutions from Root cause analysis.