Systems Engineer I - Observability & Monitoring
On site
Belfast, United Kingdom
Full Time
12-03-2025
Job Specifications
The Systems Engineer in Observability & Monitoring helps build, run & support, w/ supervision, the systems that provide observability and monitoring, visibility & management of the network infrastructure, applications & systems at CME Group. This includes, but is not limited to, status, health, performance & capacity planning to avoid problems w/ system reliability & throughput.
The candidate must have expertise on systems architecture OS like Linux, Windows, and (or) Kubernetes; monitoring solutions like Splunk Enterprise, Grafana, GCP Log Analytics etc., In addition, the candidate should have expertise on DevOps areas like Chef, Jenkins, GIT, Ansible, CI/CD pipeline etc., along with automation skills using Python, bash, shell and (or) PowerShell. Must possess good hands on with software and tools configuration, networking and troubleshooting in various technologies. Hands-on experience with any of the cloud technologies like GCP, AWS. Azure or OpenStack would be an added advantage. Should have an interest in data analytics. Familiarity with basic site reliability engineering (SRE) concepts would be an added advantage.
Principal Accountabilities
Analyzes requirements with experienced team members; Supports existing production environment platforms and implements necessary hardware and software for project execution; Defines the environment scope for business requirements, and maintains and improves the stability, reliability and availability of the platforms and environments; Documents deployment and configuration procedures.
Defines problems and describes the cause and effect relationship; gathers and compares data about problems with supervision, documents the details, prepares analysis reports and reviews with experienced team members. Participates in discussions with experienced team members to generate ideas for problem solving, and accurately defines the circumstances surrounding the decision point with supervision.
Demonstrates knowledge of intermediate systems (Linux/Windows), distributed computing architecture (client server, intranet/internet, networking technologies), hardware platforms and resources - CPU, memory, virtualization and clustering. Configures systems and modifies settings to ensure proper function. Schedules and performs routine maintenance of systems, including but not limited to vulnerability remediation, software and hardware patches and upgrades.
Troubleshoots most of the known issues, determines the root cause and works with experienced team members on solutions and implementation; Verifies implementation, makes adjustments as necessary, provides input into resolution and documents solution
Minimum Qualifications
Bachelor’s or Master’s degree in a related field.
Understanding of Cloud Computing basics
Linux/Unix administration knowledge and/or experience
Basic scripting skills in python, bash, shell, or Powershell.
Have a passion for problem solving and automation and a willingness to continue growing your skills in this area.
Strong attention to detail and focus on quality.
Bonus Qualifications
Knowledge of Google Cloud Platform
Knowledge of change management.
Expertise in Chef
Expertise in Jira, GIT, Jenkins or Bamboo
Expertise in configuration management.
Knowledge of Ansible, Java
Prior experience working in financial services/exchange space.
About CME Group
As the world’s leading and most diverse derivatives marketplace, CME Group is where the world comes to manage risk. CME Group exchanges offer the widest range of global benchmark products across all major asset classes, including futures and options based on interest rates, equity indexes, foreign exchange, energy, agricultural products and metals. Our clients rely on our trading products to help manage their business risks. In doing so, we help maintain stability in the global economy.
Technology drives everything we do. It’s how we provide our customers with access to the world’s markets. It’s how we help keep those markets secure and always available to handle ever-increasing demand. And it’s how we build leading edge fintech solutions that help the world advance. At CME Group, you can build a career by shaping tomorrow. We invest in your success, and you own it – all while working alongside a team of leading experts who inspire you in ways big and small. Creators, fixers, problem-solvers. Those are our people. And we’re looking for more.
CME Group : Where Futures are Made
CME Group is the world’s leading and most diverse derivatives marketplace. But who we are goes deeper than that. Here, you can impact markets worldwide. Transform industries. And build a career by shaping tomorrow. We invest in your success and you own it – all while working alongside a team of leading experts who inspire you in ways big and small. Problem solvers, difference makers, trailblazers. Those are our people. And we’re looking for more.
At CME Group, we embrace our employees' diverse experiences, cultures and skills, and work to ensure that everyone’s perspectives are acknowledged and valued. As an equal opportunity employer, we recognize the importance of a diverse and inclusive workplace and consider all potential employees without regard to any protected characteristic.
Important Notice: Recruitment fraud is on the rise, with scammers using misleading promises of job offers and interviews to solicit money and personal information from job seekers. CME Group adheres to established procedures designed to maintain trust, confidence and security throughout our recruitment process. Learn more here.
About the Company
As the world's leading derivatives marketplace, CME Group (www.cmegroup.com) is where the world comes to manage risk. CME Group exchanges offer the widest range of global benchmark products across all major asset classes, including futures and options based on interest rates, equity indexes, foreign exchange, energy, agricultural commodities, metals, weather and real estate. CME Group brings buyers and sellers together through its CME Globex® electronic trading platform and its trading facilities in New York and Chicago. C... Know more
Related Jobs
- Company Name
- Spectrum IT Recruitment (South) Ltd
- Job Title
- Quantitative Analyst
- Job Description
- Excellent opportunity for a passionate Quantitative Analyst to join an excellent client's team based in central London. The successful Quantitative Analyst will join a small but very talented team and will be expected to interpret, filter, and analyse very large data sets whilst working closely with other analysts and developers. The successful Quantitative Analyst will be a forward-thinking individual who is more than comfortable working to both their own initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Computer Science or Physics and any knowledge with sports betting/trading would be beneficial but not essential. This is an office-based role and as well as very competitive salaries, our client offers an excellent working environment. Previous experience within the sports trading industry would be beneficial. Skills required: Proficient in several of the following: Python, C#, F#, C++, Java Mathematical Modelling Mathematical skills, particularly a keen understanding of probabilities and statistics Analytic mindset Strong communication skills Accuracy and attention to detail Experience in data science (big data, deep learning, machine learning) is beneficial Specific sports trading knowledge is beneficial but not essential If you feel you have the skills and experience required for this opportunity, please contact Oliver Wilson at OliverWilson@SpectrumIT.co.uk Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
- Company Name
- ASOS.com
- Job Title
- Head of Quality Improvement and Assurance
- Job Description
- Company Description We're ASOS. We blend our flair for fashion with our love of cutting- edge technology, but more importantly were interested in how we can bring the best out of you. We exist to give people the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you're free to be your true self without judgment, and channel your creativity into a platform used by millions. Job Description As part of the Sourcing and Technical leadership team, the Head of Quality Improvement and Assurance will drive end-to-end quality strategy, ensuring best-in-class standards in materials, fit, construction, and supplier compliance. They will oversee QA processes, defect prevention, return rate reduction, and supplier incentives for consistent high-quality output, leveraging data-driven insights to enhance product durability and customer satisfaction. You will... Define and enforce quality & fit benchmarks aligned with industry leaders Lead QA & QC processes (supplier audits, batch testing, real-time defect tracking) Oversee fabric & garment testing, pre-shipment inspections, and lab compliance Develop supplier incentives for quality consistency and accountability Improve speed-to-market while maintaining quality standards Implement data-driven monitoring and AI-powered defect detection Track KPIs: defect rates, first-pass approval rates, return reasons, and supplier compliance Lead and build a strong Quality Improvement and Assurance team, providing clear direction and development to the team and encouraging collaborative ways of working Motivate and engage the team through recognition and regular feedback Lead and drive business wide initiatives and projects, positively influencing and championing change Build and leverage relationships with a network of appropriate internal and external stakeholders to deliver and evolve strategy. Qualifications About You A confident leader with significant industry experience in fashion quality assurance & improvement Expertise in garment construction, fabric, fit, and supplier management Strong background in QA automation, compliance, and real-time monitoring tools Data-driven, proactive, and collaborative across buying, design, and logistics Excellent communication, stakeholder management and influencing skills An effective and inclusive management style, role modelling positive behaviours and providing the team with clear direction and development Additional Information What's in it for you? Employee discount (hello ASOS discount!) ASOS Develops (personal development opportunities across the business) Employee sample sales Access to a huge range of LinkedIn learning materials 25 days paid annual leave + an extra celebration day for a special moment Discretionary bonus scheme Private medical care scheme Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits Why take our word for it? Search #InsideASOS on our socials to see what life at ASOS is like.
- Company Name
- Thompson Aero Seating Limited
- Job Title
- Programme Manager
- Job Description
- The post holder will be responsible for leading high profile programmes, acting as the first point of contact with some of the world's leading airlines. As a Programme Manager at TAS, you will work in a fast-paced environment focused on the delivery of high quality products on time and within budget. Responsibilities Manage and develop the relationship with the Customer and all stakeholders to enhance chances of success for the programme as well as for future business. Lead and develop an Integrated Project Team (IPT) from programme award through to delivery, facilitating effective decision making to ensure successful realisation of customer requirements. Build and maintain cross functional relationships within TAS, leading to effective collaborative working. Ensuring Customer and Original Equipment Manufacturer (OEM) needs are met by working to a defined Programme Baseline Specification. Facilitate and host in-person milestone meetings with Customers and OEMs. Set up and manage internal and external meetings, virtual and in-person, ensuring critical information is logged and distributed and decisions are made on time to support the programme schedule. Implement effective conflict resolution while managing programme priorities. Manage programme Non-Recurring Cost (NRC) payments upon completion of programme milestones and also Recurring Cost (RC) budgets. Be able to react to emergent issues and risks with a solution-based approach, using the escalation process when needed. Work to internal Key Performance Indicators (KPIs), helping the business meet its strategic goals. Be willing and able for international travel to support Customer and OEM in-person meetings. Use established Programme Management tools to successfully deliver the agreed Customer & OEM requirements, such as: Change Management Risk/Opportunity Management Programme Action Tracker Lessons Learnt reviews Top level scheduling Profit & Loss reviews Reward Competitive salary Annual bonus (linked to company performance) 33 days annual leave (Increase after 5 years' service) 37.5 hours per week Flexi time working £5,000 employee referral bonus Health cash plan Contributory Salary Sacrifice Pension Scheme Holiday Purchase Scheme - Salary Sacrifice Cycle to Work Scheme Life Assurance Scheme at x4 gross salary Competitive enhanced Maternity and Paternity pay IVF & Assisted Conception Policy Women in Buisness Membership Wellbeing Initiatives Employee Recognition scheme Long Service Awards Local charity / sponsorship activities Dedicated employee parking Discounted Gym membership Learning and development opportunities Career progression Requirements Essential Relevant project/programme management or equivalent experience Strong, proven skills in customer management, teamwork, negotiations and decision-making Ability to multi-task and operate in a fast-paced, high-pressure environment Excellent organisational skills Excellent internal and external communication and presentation skills Ability to take initiative and work with minimum supervision Proficient in the use of Microsoft Office Desirable 5 years' experience in a project/programme management role Experienced in budgeting and Profit & Loss management Experience working in a manufacturing and/or aerospace environment Basic understanding of Material Requirements Planning (MRP) and Master Production Schedules (MPS) Educated to degree level, ideally educated in Engineering, Science, Business or a related subject A formal Programme Management qualification from bodies such as PRINCE2, APM We reserve the right to enhance criteria on shortlisting. Thompson Aero Seating is an Equal Opportunities employer. The closing date for applications is the 23 March 2025 @ 5pm. To be considered for this role you will be redirected to and must complete the application process on our careers page. To start the process, click the Apply button below to Login/Register.
- Company Name
- Amazon
- Job Title
- 2025 Data Scientist Internship (multiple locations), Amazon University Talent Acquisition
- Job Description
- Description Are you a MS or PhD student interested in a 2025 Internship in Data Science? If so, we want to hear from you! We are looking for a customer obsessed Data Scientist Intern who can innovate in a business environment, building and deploying machine learning models to drive step-change innovation and scale it to the EU/worldwide. If this describes you, come and join our Data Science teams at Amazon for an exciting internship opportunity. If you are insatiably curious and always want to learn more, then you’ve come to the right place. You can find more information about the Amazon Science community as well as our interview process via the links below; https://www.amazon.science/ https://amazon.jobs/content/en/career-programs/university/science Key job responsibilities As a Data Science Intern, you will have following key job responsibilities: Work closely with scientists and engineers to architect and develop new algorithms to implement scientific solutions for Amazon problems. Work on an interdisciplinary team on customer-obsessed research Experience Amazon's customer-focused culture Create and Deliver Machine Learning projects that can be quickly applied starting locally and scaled to EU/worldwide Build and deploy Machine Learning models using large data-sets and cloud technology. Create and share with audiences of varying levels technical papers and presentations Define metrics and design algorithms to estimate customer satisfaction and engagement A day in the life At Amazon, you will grow into the high impact, visionary person you know you’re ready to be. Every day will be filled with developing new skills and achieving personal growth. How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow. Some more benefits of an Amazon Science internship include; All of our internships offer a competitive stipend/salary Interns are paired with an experienced manager and mentor(s) Interns receive invitations to different events such as intern program initiatives or site events Interns can build their professional and personal network with other Amazon Scientists Interns can potentially publish work at top tier conferences each year About The Team Applicants will be reviewed on a rolling basis and are assigned to teams aligned with their research interests and experience prior to interviews. Start dates are available throughout the year and durations can vary in length from 3-6 months for full time internships. This role may available across multiple locations in the EMEA region (Austria, France, Germany, Ireland, Israel, Italy, Luxembourg, Netherlands, Poland, Romania, Spain and the UK). Please note these are not remote internships. Basic Qualifications Are enrolled in a Master's degree in computer science, machine learning, engineering, or related fields Speak, write, and read fluently in English Preferred Qualifications Experience in at least one of the related science disciplines (optimization - LP, MIP, statistics, machine learning, process control, combinatorial optimization) Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent) Experience with big data: processing, filtering, and presenting large quantities (100K to Millions of rows) of data Experience implementing algorithms using both toolkits and self-developed code Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - Amazon UK Services Ltd. - A10 Job ID: A2816295