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The job in short
Platform DevOps engineering.
TerraformLinuxDevOpsSaaS
Details
- Found
- 21 d ago · posted 2026-10-04
- Location as listed
- Boston, Massachusetts, United States
- Role
- DevOps / SRE / Platform Engineer
- Source
- The company’s own careers site
Full description
Job Summary
We are seeking an experienced Platform DevOps Engineer to support cloud platform engineering initiatives through automation, infrastructure-as-code, and modern CI/CD practices. This role focuses on building scalable, secure, and resilient cloud environments while enabling efficient application deployment and operational excellence. The ideal candidate brings strong cloud expertise, automation skills, and a passion for continuous improvement within DevOps environments.
Duties & Responsibilities
•
Design, implement, and maintain infrastructure-as-code solutions using modern tooling
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Automate provisioning and configuration of cloud resources
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Build and manage CI/CD pipelines for application and infrastructure deployments
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Deploy and support cloud platforms for PaaS and IaaS workloads
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Identify opportunities to automate infrastructure creation and application delivery processes
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Support multiple projects while contributing to DevOps platform improvements
Qualifications, Skills & Experience
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Strong experience with infrastructure automation tools such as Terraform and scripting languages
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Experience building and managing deployment pipelines and release workflows
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Proficiency with source control platforms and Git-based workflows
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Solid understanding of software development lifecycle and release management practices
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Experience supporting internal development platforms and cloud change control processes
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Working knowledge of APIs, authentication methods, and JSON payloads
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Strong understanding of cloud computing models (IaaS, PaaS, SaaS)
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Experience with cloud platforms and services
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Knowledge of secure automation practices including secrets management and IaC scanning
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Strong familiarity with Windows and Linux operating systems
•
Experience with containerized workloads preferred
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