At a Glance
- Tasks: Lead technical solutions for clients, optimising and supporting enterprise platforms.
- Company: Join Data Intellect's innovative Trade Surveillance team in Belfast.
- Benefits: Comprehensive training, international travel opportunities, and strong career progression.
- Other info: Be part of a diverse, inclusive team focused on continuous learning.
- Why this job: Work on high-impact systems with leading global financial institutions.
- Qualifications: Experience with Kubernetes, AWS, and strong problem-solving skills required.
The predicted salary is between 63000 - 77000 £ per year.
Data Intellect is building a new, specialist Trade Surveillance team in Belfast, forming a key part of a rapidly expanding, high-growth practice area within the organisation. This team operates in a consulting-led model, delivering complex, mission-critical solutions for world-leading global investment banks, hedge funds, regulators and exchanges. As part of this, you will have the opportunity to work on international client engagements across New York, London, and APAC, gaining exposure to some of the most sophisticated financial technology environments in the world, with potential opportunities to travel. You will receive comprehensive training on a specialised trade surveillance product stack, enabling you to quickly develop deep expertise while working directly on client systems. The role combines data engineering depth with client-facing responsibility, requiring individuals who can both solve complex technical challenges and operate effectively within enterprise stakeholder environments. As a Senior DevOps Engineer, you will act as a trusted technical consultant, bridging client infrastructure teams and internal engineering, and taking ownership of platform implementation, optimisation, and ongoing support. This is an ideal opportunity for someone motivated by problem-solving, continuous learning, and accelerated career progression within a fast-scaling, globally focused practice.
Key Responsibilities
- Act as the technical lead between clients and engineering teams, delivering enterprise platform solutions
- Deploy, manage, and optimise containerised applications using Kubernetes and Helm
- Design scalable, secure infrastructure across on-prem and AWS environments using IaC tools
- Build and maintain CI/CD pipelines, driving automation and release consistency
- Administer Kubernetes clusters, managing orchestration, scaling, and performance
- Implement monitoring and observability (Prometheus, Grafana, ELK) to ensure system reliability
- Troubleshoot complex infrastructure, Kubernetes, and database issues with clear root cause analysis
- Configure AWS networking and implement secure access (SSO, SSL/TLS, access controls)
Skills & Experience
- Strong experience with Kubernetes, Docker, and Helm
- Solid AWS expertise and Infrastructure as Code (Terraform, CloudFormation, Ansible)
- Proven CI/CD and automation experience
- Strong Linux administration and troubleshooting skills
- Experience with monitoring/logging tools (Prometheus, Grafana, ELK) and root cause analysis
- Knowledge of storage (NFS/EFS), databases (PostgreSQL), and web servers (Nginx, Apache, Tomcat)
- Experience with SSO and security (SAML, OIDC, Azure AD, Okta, Keycloak)
- Scripting skills in Python and/or Bash
Profile
- Client-focused with strong communication and problem-solving skills with the ability to break down complex systems and translate technical issues for different audiences
- Comfortable working independently in client environments
- Proactive, adaptable and motivated to learn
Desirable
- Financial services or capital markets experience
- Exposure to trade surveillance or regtech platforms
- Experience in low-latency or high-throughput environments
Why Join Data Intellect?
- Join a new, strategically important team in Belfast
- Work on complex, high-impact systems in a collaborative, consulting-led environment
- Be part of a high-growth practice with strong career progression opportunities
- Receive full training on a specialised, in-demand product stack
- Opportunities for international travel across New York, London, and APAC
- Work with leading global investment banks and hedge funds
Fair Employment & Equal Opportunities
We’re proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available throughout the assessment and selection process. Challenge Accepted. Apply now.
Senior DevOps Engineer (Trade Surveillance Platform) in Belfast employer: Data Intellect Limited
Data Intellect Limited is an exceptional employer that fosters a dynamic work culture in the heart of London, where innovation and diversity are at the forefront. With a strong emphasis on continuous learning and professional development, employees are encouraged to grow their skills while working on impactful projects in global finance. The hybrid working model further enhances work-life balance, making it an attractive place for talented individuals seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior DevOps Engineer (Trade Surveillance Platform) in Belfast
✨Join Local Tech Meetups
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✨Contribute to Open Source Projects
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We think you need these skills to ace Senior DevOps Engineer (Trade Surveillance Platform) in Belfast
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 Data Intellect Limited.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Data Intellect Limited 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 Data Intellect Limited
✨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 Data Intellect Limited 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.
