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For Companies At a Glance
- Tasks: Design and maintain scalable cloud infrastructure while optimising workflows with AI.
- Company: Join ThinkMarkets, a leading global CFD brokerage with a collaborative culture.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Be at the forefront of tech innovation in a fast-paced trading environment.
- Qualifications: 8+ years in DevOps with expertise in Kubernetes, Terraform, and cloud architecture.
- Other info: Dynamic role with 24/7 support and excellent career advancement potential.
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.
- Familiarity with financial data analytics platforms and ETL processes.
DevOps Engineer employer: ThinkMarkets
Contact Detail:
ThinkMarkets Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DevOps Engineer
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even local tech events. 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 infrastructure. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common DevOps scenarios and challenges. Practice explaining your thought process and solutions clearly. Remember, they want to see how you tackle real-world problems, so be ready to demonstrate your expertise!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Tailor your application to highlight how your skills align with our mission and values.
We think you need these skills to ace DevOps Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the DevOps Engineer role. Highlight your experience with Kubernetes, Terraform, and cloud architectures. We want to see how your skills match up with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about DevOps and how you can contribute to our mission at ThinkMarkets. Keep it concise but impactful!
Showcase Your Projects: If you've worked on any relevant projects, don't hold back! Include links or descriptions of your work with AI/ML deployments, CI/CD pipelines, or observability solutions. We love seeing real-world applications of your skills.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at ThinkMarkets
✨Know Your Tech Inside Out
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, especially around cloud migration or CI/CD pipeline management. Think about scenarios where you improved system reliability or optimised performance, and be ready to explain your thought process.
✨Demonstrate Your Communication Skills
Since the role involves presenting technical strategies to senior management, practice explaining complex concepts in simple terms. Be prepared to discuss how you’ve collaborated with different teams and how you ensure everyone is on the same page during projects.
✨Stay Current with AI Trends
Given the focus on agentic AI, make sure you’re up-to-date with the latest trends and best practices in AI/ML deployment. Be ready to discuss your experience with GPU infrastructure and any relevant security practices, as this will show your commitment to staying ahead in the field.