Platform / DevOps / SRE Engineer

About EDITED

EDITED is the world’s leading AI-driven retail intelligence platform. We empower the world’s most successful brands and retailers with real-time decision making power. 

By connecting internal business and external market data, EDITED infuses intelligence into every retail decision.

We help retailers increase margins, generate more sales, and drive better business outcomes through AI-powered market and enterprise intelligence that fuels automation. 

The Role

As a Platform/DevOps/SRE Engineer at EDITED, you will play a crucial role in our technical ecosystem, providing expertise and technical direction to deliver high-impact projects. This role encompasses a blend of traditional infrastructure, security, and engineering responsibilities, and will ensure the reliability, scalability, and performance of our production systems. This position is crucial for maintaining our network, managing databases, and supporting our GenAI initiatives. 

You will work closely with development teams to build and maintain the infrastructure and deployment processes, fostering a culture of automation and continuous improvement. This role is ideal for someone who loves a challenge and is excited by the prospect of working on cutting edge technology and learning and growing in a small team that utilises modern engineering techniques to solve complex and interesting problems.

Responsibilities:

• Infrastructure & Security Management: Maintain and enhance our network and infrastructure. Ensure robust security measures are in place.
• System & Database Upkeep: Manage and troubleshoot issues related to systems and databases. Provide reactive support to resolve bugs and system issues.
• Development Roadmap Participation: Collaborate with development teams on the roadmap, adapting to project changes and priorities.
• Support GenAI Initiatives: Facilitate the deployment of GenAI technologies with autonomous tooling, ensuring alignment with product development.
• Containerization & Automation: Work extensively with containerized solutions like Docker to streamline deployment and scaling processes.
• Large Data Lake Management: Handle and optimise large data lakes, ensuring data integrity and accessibility.

Requirements

It’s important for us to look for candidates that strive for excellence with a positive attitude, a strong sense of ownership and work ethic, and a passion to consistently develop and improve their knowledge and skillset. If you’re excited about this role and the opportunity to work at EDITED, we encourage you to apply even if you only match some, rather than all, of the requirements.

Essential:

• 5+ years of experience in a DevOps, SRE, Platform or Infrastructure related role.
• Extensive experience with cloud providers (e.g., AWS, GCP).
• Proficiency with containerisation technologies (e.g., Docker, Kubernetes).
• Strong experience with automation tools (e.g., Ansible, Terraform, Puppet).
• Experience implementing and managing scalable databases (Elasticsearch, MySQL, RDS).
• Experience implementing and maintaining CI/CD tools and pipelines
• Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, OpenTelemetry).
• Proficient in scripting languages (e.g., Python, Bash, Go).
• Solid understanding of networking concepts and protocols.
• Knowledge of security best practices and tools.

Perks & Benefits

• You can utilise our flexible working policy to ensure you can work around your schedule – this means starting & finishing when it suits you best!
• At EDITED we are set up to work remotely and operate a hybrid approach to working in the office. Those in London are required to come into the office a minimum of 2 x per week
• Enhanced parental leave policy
• 25 days annual leave + public holidays (and an extra day for every year at EDITED)
• Stock options scheme

Find out more about working at EDITED here: https://edited.com/careers/

We aim to be an equal opportunities employer and we are determined to ensure that no applicant or employee receives less favourable treatment on the grounds of gender, age, disability, religion, belief, sexual orientation, marital status, or race, or is disadvantaged by conditions or requirements which cannot be shown to be justifiable.

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