# Senior DevOps / Platform Engineer (Google Cloud)

[Datatonic](https://gurify.com/jobs?q=Datatonic) · London · Posted 2 months ago

Senior

[DevOps](https://gurify.com/jobs/devops)

[Apply on the original posting → (opens in a new tab)](https://jobs.ashbyhq.com/datatonic/1165b8a0-deca-400b-84ff-b4ebb241663b)

## Job description

### SHAPE THE FUTURE OF AI & DATA WITH US

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.

### YOUR MISSION

As a Senior DevOps Engineer, you will play a key role in establishing and enhancing DevOps practices within our clients' organisations. This opportunity is ideal for someone who has gained initial experience in a DevOps role or for a Software Engineer seeking to transition into the DevOps field.

We are looking for a proactive and skilled professional who thrives in a dynamic, technology-driven environment and is eager to contribute to the growth and innovation of an established scale-up. This role offers the chance to apply your expertise and grow your career while making a tangible impact on cutting-edge projects.

### WHAT YOU’LL DO

- Pipeline Development: Collaborate with clients to design and implement robust DevOps pipelines

- Best Practices Advisory: Provide expert advice to customers on DevOps best practices

- Function Optimisation: Establish and enhance DevOps functions within clients’ organisations

- Stakeholder Engagement: Engage with customers and project teams throughout the project development lifecycle to ensure seamless delivery

### WHAT YOU’LL BRING

- DevOps Experience: 4+ years of experience in the DevOps field or as a Software Engineer

- Programming Skills: Proficiency in Python, Java, or Go programming languages

- CI/CD Expertise: In-depth knowledge of CI/CD tools and processes

- Tech Enthusiasm: Strong passion for technology and a drive to continuously learn

- Team Collaboration: Eagerness to join a diverse team of ML, AI, and DevOps enthusiasts

### Bonus Points If You Have:

- Start-Up/Scale-Up Experience: Previous experience working in a start-up or scale-up environment

- Containerisation/Virtualisation Expertise: Proficiency with technologies such as Terraform and Kubernetes

- SRE Principles: Experience in implementing Site Reliability Engineering (SRE) principles

- Cloud Native Architecture: Hands-on experience with cloud-native architectures, ideally on Google Cloud

- Client-Facing Role: Prior experience in a client-facing position

- SDN Knowledge: Understanding of Software Defined Networking (SDN) on Google Cloud

WHAT’S IN IT FOR YOU?

We believe in empowering our team to thrive, with benefits including:

- Holiday: 25 days plus bank holidays (obviously!)

- Health Perks: Private health insurance (Vitality Health) and Smart Health Services

- Fitness & Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).

- Hybrid Model: A WFH allowance to keep you comfortable.

- Learning & Growth: Access to platforms like Udemy to fuel your curiosity.

- Pension: (Auto-enrollment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)

- Life Insurance: (3 x your base salary!)

- Income Protection: (up to 75% of base salary, up to 2 years)

- Cycle to Work Scheme

- Tech Scheme

WHY DATATONIC?

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Are you ready to make an impact?

Apply now and take your career to the next level.

**Live in Datatonic’s hiring system.** Read from the company's own applicant tracking system, not reposted from a job board — so it's a real, open requisition rather than an ad that outlived the role.

We remove it as soon as it disappears at source.

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