At a Glance
- Tasks: Build resilient infrastructure for a high-traffic generative AI platform and automate tasks with Python or Go.
- Company: Join a cutting-edge tech company focused on generative AI and innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Collaborative environment with excellent career advancement opportunities.
- Why this job: Make a real impact on the future of AI while working with the latest technologies.
- Qualifications: 5+ years in infrastructure engineering, DevOps, or similar roles; strong automation skills required.
The predicted salary is between 63000 - 77000 £ per year.
- Build resilient, scalable, fault-tolerant infrastructure for WRITER's high-traffic enterprise generative AI platform
- Move between SRE, Dev Ops, Infrastructure, and Platform initiatives as priorities shift
- Automate operational tasks and infrastructure management with Python or Go
- Design and operate infrastructure across AWS, GCP, and Azure
- Work with Kubernetes, Helm, Terraform, and cloud and AI tooling
- Use AI agents to investigate incidents, draft Terraform and Helm changes, write runbooks, scaffold tooling, and review pull requests
- Encode recurring infrastructure tasks as reusable internal skills for human and agent teammates
- Lead incident response, post-mortems, and root-cause analyses
- Own reliability, performance, and efficiency of core services end-to-end
- Define and uphold SLOs and error budgets and carry the on-call pager
- Balance immediate reliability work with long-term platform, observability, cost, and reliability investments
- Collaborate with product, security, and engineering peers on system design from conception through launch
- Report to the director of engineering
Requirements
- 5+ years of experience in infrastructure engineering, Dev Ops, or a similar role focused on building and operating large-scale, high-availability production systems at a high-growth product company
- Experience running containerisation in production
- Experience with Helm and Terraform or Pulumi on at least one major cloud (AWS preferred)
- Good proficiency in Python or Go for automation and tooling
- Daily workflow already includes agentic tooling such as Claude Code, Droid, Codex, or internal skills; this is a hard requirement
- Demonstrated ability to challenge the status quo, identify systemic weaknesses, and propose innovative solutions to complex reliability problems
- Ability to reason from constraints and failure modes and articulate tradeoffs in business terms
- Ability to make reversible decisions, write rollback plans, work with monitoring and logging stacks, and stress systems safely
- Excellent communication, collaboration, and problem-solving skills
- Strong ownership and accountability for mission-critical systems
- At least one end-to-end 0-to-1 infrastructure build with an attached outcome metric
- Willingness and ability to work in person in the office 3 days per week
- Legally authorized to work in the country where the job is located
- Core Competencies
Demonstrates expertise in building and operating resilient, scalable infrastructure for high‑traffic enterprise platforms, with a strong focus on automation using Python or Go.
Proven ability to lead incident response and uphold reliability standards while collaborating effectively with cross‑functional teams.
- Highest‑signal resume keywords
- Infrastructure Engineering
- Dev Ops Practices
- AWS, GCP, Azure
- Python or Go Automation
- Helm and Terraform
- Hard Skills
- Infrastructure Engineering
- Dev Ops
- Automation
- Containerization
- Incident Response
- Root‑Cause Analysis
- SLO Definition
- Monitoring and Logging
- System Design
- High‑Availability Systems
- Soft Skills
- Excellent Communication
- Collaboration
- Problem-Solving
- Ownership
- Accountability
- Industry Keywords
- Generative AI
- High‑Traffic Platforms
- Production Systems
- Reliability Engineering
- High‑Growth Product Company
- Tools & Technologies
- Kubernetes
- Helm
- Terraform
- Pulumi
- Cloud Tooling
- Agentic Tooling
- #J-18808-Ljbffr
Infrastructure Engineer in London employer: Jobtailor
As a Client Services Coordinator at our dynamic company, you will thrive in a supportive work culture that prioritises employee growth and development. We offer comprehensive training, opportunities for advancement, and a collaborative environment where your contributions are valued. Located in a vibrant area, our team enjoys a healthy work-life balance and the chance to engage with diverse clients, making every day rewarding and meaningful.
StudySmarter Expert Advice🤫
We think this is how you could land Infrastructure Engineer in London
✨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 Jobtailor 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 Jobtailor.
✨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 Jobtailor.
✨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 Jobtailor 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 Infrastructure Engineer in London
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 Jobtailor.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Jobtailor 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 Jobtailor
✨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 Jobtailor 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.
