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 MissionAs 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 DoPipeline 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
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
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
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.
Datatonic London, England Office
1 Canada Square, London, United Kingdom, E14 5AB
