Description
About Us
We're GEEIQ (pronounced ‘Geek') and we’re a data platform and insights provider that’s used by the likes of Gucci, Walmart, L’Oreal and Porsche to navigate and engage virtual worlds. Think Ralph Lauren in Fortnite, or Elton John in Roblox.
We believe that the metaverse hype is over and that brands demand more than just visibility when it comes to activating in these spaces, they need to be able to measure, attribute and identify tangible revenue opportunities. That’s where our platform comes in.
Located in the heart of London, GEEIQ is a team of 35 innovators, with ambitious growth plans in the next 24 months. We’re predominantly office based, where we foster a culture of collaboration and innovation. Every idea is valued and every team member plays a pivotal role in shaping the future of digital brand experiences.
Our Team
Our Engineering team plays a critical role developing and refining the GEEIQ data platform that helps and empowers our clients—from major brands to emerging players in various industries— to navigate the complexities of the metaverse.
The GEEIQ engineering team is extremely collaborative, working together to not only build a great platform, but also a great team. Every member of the team has valued input and can help make us the best engineering team possible.
GEEIQ engineering is on a mission to transform raw data into digestible and actionable strategies, helping brands become intrinsic parts of virtual environments, seamlessly integrating and engaging with diverse virtual audiences
Your Focus
As a DevOps Engineer at GEEIQ, you will play a critical role in bridging the gap between development and operations within our fast-growing SaaS data analytics platform.
Specialising in a tech stack that includes AWS, Kubernetes, NodeJS, Python, MySQL, and MongoDB, this role involves a wide array of responsibilities from system administration and automation to ensuring high availability, performance, and efficient deployment processes.
We are seeking a skilled and passionate DevOps Engineer with a robust background in software development and system operations. The ideal candidate will excel in automation, CI/CD pipelines, and managing large-scale data projects, and demonstrate strong skills in mentoring and problem-solving.
Key Responsibilities
- CI/CD Pipeline and Automation
- Develop and maintain the CI/CD pipeline using tools and practices that enhance automation and scalability.
- Automate deployment, scaling, and management of containerized applications using Kubernetes.
- Cloud and Infrastructure Management
- Manage and optimise AWS cloud infrastructure for high availability and fault tolerance.
- Implement and maintain cloud-based solutions and microservices architecture.
- Terraform infrastructure as code to ensure consistent and reliable environment setups across development, testing, and production stages.
- Monitoring and Performance Optimization
- Set up and maintain monitoring solutions that can preemptively detect and resolve issues.
- Ensure performance optimization by continuously assessing and tuning the system.
- Collaboration and Support
- Work closely with the development teams to ensure operational requirements are considered and met.
- Provide ongoing maintenance, support, and enhancements in existing systems and platforms.
- Enforce best practice guidelines within the engineering process and team to upskill the engineering team and ensure compliance with industry standards, resulting in more robust and secure systems.
GEEIQ
Brand Marketing
Business Intelligence
Digital Marketing
Metaverse
SaaS
Virtual Goods
Virtual World
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