Cloud DevOps Engineer

Liminal is a global market intelligence and strategic advisory firm specializing in digital identity, financial crime and compliance, and IT security technology solutions across industries while also catering to the private equity and venture capital community. Founded in 2016, Liminal offers strategic and analytical services supporting executive decision-making at all product and business lifecycle stages. We advise some of the world’s most prominent business leaders, investors, and policymakers on building, acquiring, and investing in the next generation of solutions and technologies. We provide access to proprietary data and analysis, strategic frameworks, and integrated insights on the industry’s only market intelligence platform. 

Every major company in the world has started focusing on the next generation of digital identity technologies as a necessity for continued growth and security. Our team works with a myriad of organizations, from Fortune 100s to startups, across industries including financial services, technology, telecommunications, and the P2P economy. At Liminal, we help businesses build solutions, execute strategies, invest intelligently, and connect with key decision-makers. We know that it’s in the sharing of discovery and insights that groundwork is laid, problems are solved, and entire sectors advance at the speed of light. Keeping information to ourselves delays progress for all. At Liminal, we don't just respond to the market; we define it.

About the role

We are looking for an experienced Cloud DevOps Engineer to design, build, and manage our cloud infrastructure and data pipelines. This role will be instrumental in automating code releases, deploying machine learning models, and ensuring the high availability and performance of our cloud-based systems. You will leverage your expertise in GCP, Containerization (ie. Kubernetes), and Infrastructure as Code to create scalable and efficient solutions.

What you'll do

CI/CD & Release Automation

• Design, implement, and maintain CI/CD pipelines using tools like GitHub Actions and GitLab CI/CD.

• Automate code deployments and release processes to ensure fast, reliable delivery.

Cloud Infrastructure & Platform Management

• Deploy and manage infrastructure on GCP using Terraform and other IaC tools.

• Ensure scalability, security, and high availability across services like Cloud Run, BigQuery, and MongoDB.

Data & Database Operations

• Manage production-grade databases, including backup and recovery, sharding, and performance tuning.

• Maintain and evolve data pipelines to support machine learning model deployment and integration.

Containerization & Orchestration

• Implement and manage containerized applications using Kubernetes and other container tools.

• Ensure efficient orchestration and scaling of microservices in production environments.

Monitoring & Reliability

• Set up monitoring, alerting, and logging solutions using tools like DataDog.

• Optimize cloud infrastructure for cost-effectiveness, performance, and reliability.

GCP Expertise

• Leverage in-depth knowledge of GCP services to architect and support cloud-native solutions.

• Stay current on GCP updates and best practices to continuously improve platform capabilities.

Collaboration & Communication

• Partner with engineering, data science, and product teams to align infrastructure with business needs.

• Translate technical requirements into actionable DevOps strategies and solutions.

DevOps Best Practices

• Champion automation, continuous integration, and continuous delivery across the development lifecycle.

• Promote a culture of reliability, scalability, and performance through well-established DevOps methodologies.

Incident Response & Troubleshooting

• Proactively identify and resolve infrastructure issues to minimize downtime.

• Lead root cause analysis and implement preventative measures post-incident.

Qualifications

Education & Experience

• Bachelor’s degree in Computer Science, Software Engineering, or related field

• 5+ years of DevOps experience in cloud-based environments

Technical Skills

• Expertise in CI/CD pipeline development using GitHub or GitLab

• Proficient in Terraform and Infrastructure as Code (IaC) practices

• Skilled in managing structured and unstructured data, with a focus on database performance

• Familiar with Identity and Access Management (IAM) and system security principles

• Experience with Docker, Kubernetes, and microservices architecture

• Proven ability to build and maintain data pipelines, including deploying ML models

• Strong scripting abilities in Python and Bash

Soft Skills

• Analytical mindset with strong problem-solving abilities

• Clear communicator with strong cross-functional collaboration skills

• Results-oriented with a focus on scalable, reliable solutions

Preferred

• Familiarity with serverless computing and cloud-native design patterns

• Self-motivated, curious, and committed to continuous learning and innovation