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Lead DevOps Engineer - West London - £85k + benefits

Posted on Nov 1, 2019 by Eximius Group Limited

London, United Kingdom
IT
Immediate Start
£85k - £85k Annual
Full-Time

Engineering Lead AI

The team responsible for our Artificial Intelligence Engine, used for analysing the financial markets and making investment recommendations, are expanding and are looking for a Head of Engineering to join us. The AI Engine currently runs on 6000+ nodes across 11 different regions and 2 different cloud providers. We run massively distributed computational graphs using a tech stack that we have developed in-house including our own multi-region distributed key-value database. The role is taking responsibility for DevOps, QA and Testing, Monitoring, Infrastructure, Security, Databases, CI/CD pipelines, ETL and Front End Development.

The role will work closely with the AI scientists in building on the tools to efficiently facilitate the R&D activity on the AI Engine. An important part of the role is to build a team of engineers to support the scale of growth expected over the next 18 months. Some of the research developed by the AI scientists is very tech focused (eg new technologies in distributed computing) and hence the role will expect an engineer who is fully immersed in the latest technological innovations in their field and who have a passion for innovation themselves.

The role will initially start with moving to a fully infrastructure as code setup, monitoring systems for different infrastructure environments, security management and dev to production pipelines, and the candidate will expect to take hands on approach while building out their team.

Responsibilities:

Ensuring the health of our Artificial Intelligence Engine.

Building out a dedicated Engineering team.

Researching and keeping up to date with the latest in technological innovation.

Migrating and then developing practices/frameworks around infrastructure as code .

Designing and developing a common framework and tools for deploying infrastructure.

Ensuring good security practices such as encryption, key management, access management.

The logging and monitoring of infrastructure including the execution of large computational distributed systems across multiple datacentres and cloud providers (AWS, Google, Azure).

Designing pipelines for automated building and testing of software from dev to production.

Expanding and managing our ETL processes, specifically working on our AI Knowledge Graph.

Providing a project development and management system.

Front End development of the AI Engine.

Experience:

7+ years relevant experience including experience leading a team of engineers.

Can write good quality production level code in an object-oriented language.

Experience with cloud computing systems (AWS, GCP or similar).

Experience with Teraform, Ansible, Helm or similar.

Experience with container related tech-stacks (Docker, Kubernetes or similar).

Familiarity with both SQL and NoSQL database systems (Graph databases a plus).

Handling terabytes of data.

Experience with build and deployment pipelines.

Experience managing large node clusters (1000+ node clusters a plus).

Experience with Teraform, Ansible, Helm or similar.

Experience with scheduling systems (Airflow or similar).

Good knowledge of the Front End tech stack and approaches.

Experience with multi datacentre logging and optimising network activity a plus.

Reference: 787598622

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