Senior DevOps​/Platform Engineer; Google Cloud

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.

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

• Pipeline Development: Collaborate with clients to design and implement robust Dev Ops pipelines

• Best Practices Advisory: Provide expert advice to customers on Dev Ops best practices

• Function Optimisation: Establish and enhance Dev Ops functions within clients’ organisations

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

• Dev Ops
  
  Experience:
  
  4+ years of experience in the Dev Ops 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 Dev Ops 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.