Q

Quantiphi

AI-driven digital transformation and automation services

Lead DevOps Engineer

DevOps EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listed

About the Job

Requirements

  • At least 8 years of overall experience in software engineering, cloud infrastructure, or related fields.
  • At least 5 years of hands-on DevOps experience focused on automation, cloud-native technologies, and continuous integration and continuous delivery practices.
  • At least 2 years of release management experience, including managing and streamlining release workflows for platforms or application libraries.
  • Strong hands-on engineering experience with both Azure and Google Cloud Platform environments.
  • Advanced proficiency with continuous integration and continuous delivery pipelines, infrastructure-as-code tools such as Terraform, and the Cloud Native Computing Foundation ecosystem.
  • Expertise in infrastructure security, cost optimization, and Kubernetes administration.
  • An active certification in CKA, CKAD, or relevant cloud architecture credentials such as Azure Solutions Architect or Google Cloud Professional Cloud Architect.
  • Experience leading Agile ceremonies such as sprint planning, stand-ups, and retrospectives.
  • Experience supporting production systems through on-call rotations and incident response.

Responsibilities

  • Design, implement, and maintain GitOps and continuous integration and continuous delivery pipelines using tools such as Jenkins, ArgoCD, and other modern technologies.
  • Oversee and streamline platform and library release management processes to ensure timely, high-quality delivery of updates.
  • Collaborate with development teams to standardize and automate release workflows in line with industry best practices.
  • Build and manage infrastructure as code using Terraform to provision and manage cloud resources.
  • Administer and optimize Kubernetes clusters, and provide colleagues with guidance and training on effective Kubernetes usage.
  • Develop and maintain robust infrastructure and container logging solutions.
  • Implement and manage observability systems using OpenTelemetry.
  • Optimize cloud infrastructure costs through efficient scaling strategies, and enforce cost-management and governance best practices.
  • Enhance cloud infrastructure security by automating security patch management, integrating security tools into Kubernetes, and designing secure infrastructure flows.
  • Architect and manage cloud networking setups for optimal connectivity and performance.
  • Implement and enforce Azure policies for compliance, and manage cloud platform role-based access control for secure access.
  • Lead migration of workloads from Azure to Google Cloud Platform, ensuring a seamless transition with minimal downtime.
  • Champion Agile methodologies in collaboration with product and engineering teams to enhance collaboration and efficiency.
  • Drive Scrum- or Kanban-based processes for release management and delivery, ensuring alignment with organizational goals.
  • Act as a liaison between development, quality assurance, and operations teams to minimize release risks and ensure smooth deployments.
  • Conduct regular retrospectives and implement continuous improvements to release and DevOps processes.

Desired Qualifications

  • Experience working in healthcare technology or other highly regulated industries.
  • Working knowledge of HIPAA compliance, data privacy standards, and handling sensitive healthcare data.
  • Experience mentoring junior engineers or leading broad technical initiatives.
  • Interest in continuous learning, evaluating emerging technologies, and solving complex technical challenges.

About the Company

Quantiphi

AI-driven digital transformation and automation services

Quantiphi uses AI and digital engineering to help organizations transform by making products and operations smarter and safer. It partners with clients to understand their challenges and then designs and builds customized AI and automation systems—combining machine learning, data analytics, and software engineering—delivering them under long-term contracts with ongoing support, and collaborating with Google Cloud to integrate technologies. Compared with competitors, it provides end-to-end, tailored solutions across industries rather than one-off projects, backed by long-term relationships and strong technology partnerships to scale. Its goal is to embed AI into products and processes to improve customer experiences and overall efficiency.

Company size
1,001-5,000
Company stage
Series A
Total funding
$23.4M
Headquarters
Marlborough, MA
Founded
2013

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