Cloud Engineer

Curve is a next-gen insights, analytics and technology consultancy that leverages digital consumer data and advanced technology to help businesses unlock consumer opportunities. Digital consumer data is powerful; it’s big, it’s real, and it’s always updating. We use a combination of in-house technology and bespoke solutions, powered by AI, to transform data from sources such as Social, Reviews, Search, and broader marketing and sales data. These reveal fresh insights for our clients; helping them to build better products and brands, to deliver effective marketing to consumers.

Our software, machine learning and AI are key to how we deliver impact, centred on:

• Natural Language Processing, GPT & other LLMs: unearthing trends, themes and other patterns from large text-based data sets, and deploying state-of-the-art AI to automate and empower consumer facing businesses and their insights & analytics functions
• Marketing Data Science & Personalisation: using first party consumer data to understand each client’s consumer base, building personalisation and other machine learning models to better engage with and excite consumers
• Data Engineering & Data Architecture: data engineering across a variety of tools to integrate these leading technologies into optimised and efficient data models and ecosystems, feeding into best-in-class analytics dashboards, marketing activation and front-end platforms
• Software Engineering: full stack expertise to build, maintain and support internal and externally facing Software & Data as a Service solutions, in AWS, that accelerate delivery and unlock deeper insights for our clients

As a start-up, we can move faster than most companies and do things differently. We have experienced rapid growth so far and we’re looking for a Cloud Engineer to join our growing team.

You’ll play a crucial role in designing, building and deploying innovative cloud solutions, integrating best-in-class Data Engineering and AI. The platforms and technologies you deploy, will integrate the leading technologies from OpenAI, Azure and AWS, depending on the project.

Our clients ecosystems are built on Azure, and internally we use AWS, giving opportunity for you to have impact and develop across both platforms. You’ll work with architects, engineers and data scientists, as well as our clients and our consulting team to ensure what we build is a step ahead of what came before, across impact, resilience, security and cost efficiency.

Your role will be twofold. You’ll be working directly with our London-based client-base, as well as helping to shape the future of our fast-growing start-up. We’ll let you challenge yourself, from your core of cloud engineering to support architecture and solution design, and data engineering, to grow your technical knowledge, and to understand the business and strategic impact of your great engineering work – to whatever extent suits you. You should be passionate about developing industry first data and AI capabilities, and have an innovative and creative mindset.

• Build and assist in design of innovative greenfield cloud solutions across a range of platforms including AWS and Azure.
• Support the development and rollout of industry first global analytics programmes and platforms.
• Develop and deploy automated cloud solutions with an emphasis on security and automation.
• Orchestrate and productionise existing data pipelines and processes.
• Build out and maintain DevOps processes, utilising CICD pipelines and IAC to maintain a healthy cloud environment.
• Utilise RBAC to ensure compliant ways of working within platforms, and ensure our cloud environments are secure through appropriate networking controls and monitoring.
• Work closely with great programme teams – project lead, data scientists and analysts – and interface with client technology counterparts
• Identify ways to improve data reliability, processing efficiency and quality of our data output
• Produce detailed documentation and champion code quality
• You will get the chance to champion the adoption of cloud within the data team, acting as an SME in this space.
• Enable companies to be at the cutting edge of AI & LLMs through compliant platforms working with data sources such as social, search, surveys, reviews, clickstream, sales, connected devices and beyond.

• Bachelor’s degree or higher in an applicable field such as Computer Science, Statistics, Maths or similar Science or Engineering discipline
• Experience designing, building and maintaining cloud environments
• Experience with DevOps technologies (Docker, CICD)
• Strong python and other programming skills (YAML and Terraform desirable)
• Experience with data solutions & platforms in cloud environments such as Azure, AWS, GCP, Databricks
• Strong understanding of cloud security principals and practices

• Exposure to big data technologies (hadoop, spark, presto, etc.)
• Experience within a large company technology environments
• Experience with LLM’s and/or chatbots from an infrastructure perspective
• Data & Solution Architecture understanding
• Experience both using and building APIs

1. 30 minute video interview with the People & Operations Team
2. 60 minute technical video interview with our Senior Data Engineer
3. Final interview with our Partner, Head of Technology