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- Tasks: Oversee architecture and automation of global trading infrastructure using cutting-edge technologies.
- Company: Join ThinkMarkets, a multi-award-winning CFD brokerage with a global presence.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact in a fast-paced environment with innovative AI-driven projects.
- Qualifications: 8+ years in DevOps, strong skills in Kubernetes, Terraform, and cloud architecture.
- Other info: Dynamic team culture with 24/7 support responsibilities and excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Founded in 2010, ThinkMarkets is a multi-award-winning, premium CFD brokerage, backed by multiple global regulatory licences, operating across six continents. We give traders and investors seamless access to a wide range of global markets; forex, equities, indices, commodities, cryptocurrencies, futures, and more, all through our proprietary, award-winning ThinkTrader platform.
We are seeking a highly skilled Senior DevOps Engineer to oversee the architecture, automation, and reliability of our global trading infrastructure. This role is critical in ensuring mission-critical systems are scalable, secure, and highly available.
Key Responsibilities
- Infrastructure & Cloud Operations: Design, build, and maintain scalable, secure, and highly available infrastructure across AWS and/or GCP. Manage multi-region cloud architectures with focus on reliability, performance, and cost optimization. Implement and manage containerized environments using Docker and Kubernetes (EKS, GKE, or OpenShift). Lead cloud migration initiatives and infrastructure modernization projects. Develop and maintain Infrastructure as Code using Terraform and other automation tools.
- Observability & Monitoring: Design and implement comprehensive observability solutions using tools such as Elastic Stack, Prometheus, Grafana. Build and maintain centralized logging and monitoring platforms. Deploy and configure data ingestion pipelines and log aggregation systems. Create dashboards and alerts for infrastructure monitoring, application performance, and error tracking. Implement observability best practices including distributed tracing and metrics collection.
- CI/CD & Automation: Administer and optimize Kafka clusters (on-premise and managed services like AWS MSK). Manage data streaming applications, including setup, tuning, security (SSL/Kerberos), and performance optimization. Support data pipeline operations including ETL processes and data warehouse integration (Redshift or similar).
- Agentic AI: Experience with AI/ML model deployment and serving (e.g., KubeFlow, SageMaker, or similar). Experience with GPU infrastructure provisioning and management. Familiarity with vector databases and RAG architectures. Understanding of AI security best practices (prompt injection mitigation, data privacy, access controls).
Requirements
- 8+ years of experience in DevOps, CloudOps, or SRE roles, with a proven track record in production-grade Kubernetes and Terraform environments.
- Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.
- Expert-level Linux/Unix administration and strong scripting skills (Bash, etc.).
- Comfortable working in an agentic AI-driven team.
- Deep understanding of cloud architecture, networking concepts, and security principles.
- Experience managing CI/CD pipeline in production environments.
- Extensive knowledge of Infrastructure as Code (Terraform required).
- Hands-on experience with version control (Git) and observability platforms (ELK, Datadog).
- Excellent communication skills, with the ability to present technical infrastructure strategies to senior management and work collaboratively across departments.
- Ability to thrive in a fast-paced environment with 24/7 production support responsibilities.
Preferred Qualifications
- AWS Solutions Architect/SysOps, CKA/CKAD, or Red Hat Certified Engineer (RHCE).
- Experience with multi-cloud (AWS + GCP), Kafka cluster tuning, and OpenTelemetry.
- Experience with multi-cloud or hybrid-cloud architecture.
- Familiarity with financial data analytics platforms and ETL processes.
DevOps Engineer (Hiring Immediately) in London employer: ThinkMarkets
Contact Detail:
ThinkMarkets Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DevOps Engineer (Hiring Immediately) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to DevOps and cloud operations. This gives potential employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common DevOps scenarios and challenges. Practice explaining your thought process and solutions clearly, as communication is key in this role. We want to see how you tackle real-world problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at ThinkMarkets.
We think you need these skills to ace DevOps Engineer (Hiring Immediately) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the DevOps Engineer role. Highlight your experience with cloud operations, Kubernetes, and Terraform, as these are key for us. Use specific examples that showcase your skills and achievements in these areas.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're passionate about the role and how your background aligns with our needs at ThinkMarkets. Don’t forget to mention your experience with AI/ML models and observability tools, as they’re super relevant.
Showcase Your Technical Skills: We want to see your technical prowess! Include any relevant certifications, like AWS or Kubernetes, and detail your hands-on experience with CI/CD pipelines and data streaming applications. This will help us understand your fit for the role.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the position. Plus, it shows you’re serious about joining our team at ThinkMarkets!
How to prepare for a job interview at ThinkMarkets
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like AWS, GCP, Docker, and Kubernetes. Brush up on your knowledge of Infrastructure as Code with Terraform and be ready to discuss your hands-on experience with these tools.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in previous roles. Think about times when you improved system reliability or optimised cloud costs. This will demonstrate your ability to drive operational excellence, which is key for this role.
✨Understand the Company’s Mission
Familiarise yourself with ThinkMarkets and their trading platform. Knowing their market offerings and how they operate can help you tailor your answers and show that you’re genuinely interested in contributing to their success.
✨Prepare for Technical Questions
Expect in-depth technical questions related to CI/CD pipelines, observability tools, and AI/ML model deployment. Practise explaining complex concepts clearly, as communication skills are crucial for presenting strategies to senior management.