
Job Overview
Location
Remote
Job Type
Contract
Category
DevOps & SysAdmin
Date Posted
April 11, 2026
Full Job Description
📋 Description
- • The DevOps Engineer (Contract) role at BespokeLabs Inc. is a project-based position focused on enabling reliable, scalable, and automated infrastructure for software delivery. This role matters because it ensures seamless integration between development and operations, reducing deployment risks and accelerating time-to-market for critical applications.
- • Day-to-day responsibilities include setting up and maintaining cloud infrastructure on AWS or GCP, designing and managing CI/CD pipelines, automating deployment processes, monitoring system performance, and collaborating with development teams to ensure smooth release cycles. The engineer will also troubleshoot infrastructure issues and implement security and compliance best practices.
- • BespokeLabs Inc. is a technology company specializing in innovative software solutions, leveraging modern cloud-native architectures to deliver high-performance products. The company values technical excellence, automation, and reliability in its engineering practices.
- • In this role, the engineer will deepen expertise in cloud platforms (AWS/GCP), infrastructure-as-code tools (e.g., Terraform, CloudFormation), CI/CD systems (e.g., Jenkins, GitLab CI, GitHub Actions), and monitoring/logging solutions. They will gain hands-on experience in enterprise-scale DevOps practices and have the opportunity to contribute to impactful projects while working remotely with a U.S.-based team.
Skills & Technologies
About BespokeLabs Inc.
BespokeLabs Inc. builds AI-driven software that personalizes digital experiences at scale. The platform ingests first-party user data to generate real-time content, messaging and product recommendations for e-commerce, media and SaaS companies, optimizing engagement and revenue without manual segmentation. Customers deploy lightweight JavaScript or server-side SDKs, configure goals and privacy controls, and receive continuously learning models that adapt to each visitor. Founded in 2019, the San Francisco–based company serves mid-market to enterprise clients across North America and Europe.
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