Devops Cloud Engineer

Location: Greater London

# Devops Cloud Engineer London Apply  for this job
* Permanent* Experienced Professionals
* Data & AI
* -en _GB##
** About the Job you are considering:
** We are building shared engineering foundations for Capgemini's Financial Services AI practice: governed environments provisioned in minutes, a catalogue that makes reusable work easy to find and deploy, and automation that keeps the platform secure and cost controlled.

You will report to the practice's Global CTO. Platforms only create value when people use them, so you will also take what you build into client organisations and help their teams establish governed environments for AI delivery.

The places you work from day to day will vary according to the role, your needs and those of the business. The role will blend Capgemini offices, client sites and home working, subject to business and client requirements.##
** Hybrid working:
** The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.##
** Your Role:
*** Design and operate self-service environments through infrastructure as code, including cloud and data-platform blueprints, agent runtimes and synthetic data capabilities that can be provisioned in minutes.
* Build guardrails from the start, including identity, tagging, budget limits, automatic teardown, data-egress protection, and audit logging.
* Create catalogues and packaging pipelines that turn prototypes into deployable, demonstrable solutions with automated tests and evaluation gates.
* Measure provisioning time, adoption, cost and reliability, and use those insights to improve the platform continuously.
* Build engineering best practices in the team, mentor colleagues and develop talent.
* Client Enablement & Deliver.
* Embed with client platforms and engineering teams to establish governed AI environments adapted to their cloud, security and regulatory constraints.
* Help clients design cost controls and operating models for AI workloads##
** Your

Skills:

*** 6-8+ years of experience in platform, Dev Ops or cloud engineering, including infrastructure as code such as Terraform and CI/CD pipelines you have built and operated.
* Deep hands-on knowledge of at least one hyperscaler: AWS, Microsoft Azure or Google Cloud, plus experience administering Databricks or Snowflake.
* Good understanding of open-source technologies.
* Strong security fundamentals across identity, secrets and network isolation, with a practical understanding of cloud cost management.
* Strong Python scripting skills and confidence with containers and orchestration.
* A product mindset: engineers are your customers, and you measure adoption and outcomes.##
** We are a Disability Confident

Employer:

** Capgemini is proud to be a Disability Confident Employer (Level
2) under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:
* Declare they have a disability, and
* Meet the minimum essential criteria for the role.

Please opt in during the application process.##
** Make It Real (what does it mean for you):
*** You’d be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organization.  We see a healthy and happy workforce a critical component for us to achieve our organizational ambitions.
To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.
* You will be empowered to explore, innovate, and progress. You will benefit from…