Cloud DevOps Engineer

4 days ago

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Liminal

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Liminal is a company that specializes in providing AI-enabled market and competitive intelligence through its Link™ platform. It empowers organizations to make informed decisions by offering actionable insights, detailed market research, and benchmarking solutions. With a focus on digital identity and risk management, Liminal combines expert human analysis with advanced AI capabilities to deliver comprehensive data and tailored recommendations, helping clients navigate complexities in the market and drive growth.

Identity • Privacy • Security • FinTech • Authentication

51 - 200 employees

Founded 2022

🤖 Artificial Intelligence

🤝 B2B

💳 Fintech

📋 Description

• 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. • 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.

🎯 Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or related field • 5+ years of DevOps experience in cloud-based environments • 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 • Analytical mindset with strong problem-solving abilities • Clear communicator with strong cross-functional collaboration skills • Results-oriented with a focus on scalable, reliable solutions • Familiarity with serverless computing and cloud-native design patterns • Self-motivated, curious, and committed to continuous learning and innovation