Cloud DevOps Engineer

Liminal Strategy Partners, LLC.; São Paulo; Teletrabalho; EUR 48.000 - 62.000; Tempo integral

Resumo da oferta

A global market intelligence firm is seeking a skilled DevOps Engineer to drive the design and management of cloud infrastructures and data pipelines. This role emphasizes automation, code releases, and ensuring high availability of cloud systems, requiring strong expertise in GCP, Terraform, and containerization technologies. The ideal candidate will collaborate with cross-functional teams to enhance platform capabilities and drive operational excellence.

Qualificações

• 5+ years of DevOps experience in cloud-based environments.
• Proficient in Terraform and Infrastructure as Code (IaC).
• Strong scripting abilities in Python and Bash.

Responsabilidades

• Design, build, and manage cloud infrastructure.
• Automate code releases and deploy machine learning models.
• Implement CI/CD pipelines and manage databases.

Conhecimentos

Terraform

Cloud infrastructure management

Database performance tuning

Python

Bash

Formação académica

Bachelor’s degree in Computer Science

Ferramentas

GCP

Kubernetes

Docker

Descrição da oferta de emprego

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 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.
• 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 of GCP services to architect and support cloud-native solutions.
• Stay current on GCP updates and best practices to continuously improve platform capabilities.
• Partner with engineering, data science, and product teams to align infrastructure with business needs.
• Translate technical requirements into actionable DevOps strategies and solutions.
• Champion automation, continuous integration, and continuous delivery across the development lifecycle.
• Promote a culture of reliability, scalability, and performance through well-established DevOps methodologies.
• 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 (AWS, Azure or GCP)

Technical Skills

• 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

The pay range for this role is:

48,000 - 62,000 EUR per year (Remote (Lisboa, Lisboa, PT))

48,000 - 62,000 EUR per year (Remote (Porto, Porto, PT))

Platform

Remote (Lisboa, Lisboa, PT)

Remote (Porto, Porto, PT)