At a Glance
- Tasks: Design and implement DevOps pipelines while optimising functions for clients.
- Company: Join Datatonic, a leading AI and data transformation partner for Google Cloud.
- Benefits: Enjoy 25 days holiday, private health insurance, gym discounts, and a hybrid work model.
- Other info: Access to learning platforms and excellent career growth opportunities.
- Why this job: Make a real impact in a dynamic tech environment with cutting-edge projects.
- Qualifications: 4+ years in DevOps or software engineering, with strong programming skills.
The predicted salary is between 60000 - 80000 £ per year.
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.
Senior DevOps Engineer employer: Datatonic
At Datatonic, we pride ourselves on being a leading employer in the AI and data sector, offering a vibrant work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through access to learning platforms and a supportive hybrid work model, ensuring our team thrives both personally and professionally. With competitive benefits like private health insurance and generous holiday allowances, we empower our employees to make a meaningful impact while enjoying a fulfilling work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Senior DevOps Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Datatonic or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Datatonic.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Datatonic.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Datatonic that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior DevOps Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Datatonic.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Datatonic and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Datatonic
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Datatonic uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
