Senior DevOps / Platform Engineer (Google Cloud)

About this role

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.