Infinity Quest

About the Company

Infinity Quest (IQ) with its roots from Staffing and Recruitment provides world class business solutions to our valued customers. We specialise in Professional Services, SAP, Salesforce and RPA. Our team of experts understand the challenges you face every day and provide simple technology driven solutions to your complex problems.
We have over 15 years experience within the professional services & technology services industry and have catered to wide variety of clientele from SMEs to global corporations. At IQ we are dedicated to working in partnership with you to become an integral part of your company’s growth, development and success. Our qualified team of experts specialise in dedicated sectors enabling them to fully understand their client, ensuring that IQ provides the highest calibre in delivering services.
“Creating partnerships” is the essence of how we work. IQ is dedicated to excellence in service delivery for our clients. We aim to exceed expectations through developing a comprehensive understanding of our clients’ needs to ensure the delivery of best practice methodologies. We build extraordinary partnerships, working faster, smarter and harder because when it comes to providing digital transformation solutions in consulting, we know actions always speak louder than words.

Listed Jobs

Company Name

Infinity Quest

Job Title

Cloud Engineer

Job Description

**Job Title** Senior Cloud Engineer **Role Summary** Design, build, and operate resilient, secure, and scalable Kubernetes environments on Google Cloud Platform (GCP) for enterprise‑grade services. Own end‑to‑end cloud platform development, from infrastructure set‑up and security policy enforcement to CI/CD pipeline creation and automated operations. **Expectations** - Deliver production‑ready GCP GKE clusters that support multi‑tenant workloads. - Maintain high availability, performance, and cost‑efficient environments. - Implement strong security controls (OPA Gatekeeper, RBAC, mTLS, service mesh). - Create, maintain, and evolve CI/CD pipelines using GitOps and modern tooling. - Lead troubleshooting and incident resolution for performance, networking, and automation issues. - Mentor teammates and influence engineering best practices across the organization. **Key Responsibilities** 1. Architect, deploy, and manage scalable GKE clusters with Anthos/Service Mesh and IaC (Terraform). 2. Design and enforce isolation, resource quotas, and RBAC policies for multi‑tenant services. 3. Build and maintain CI/CD workflows (Harness, GitLab, etc.) for build, test, and deployment. 4. Integrate observability stacks (Prometheus, Dynatrace, OpenTelemetry) and monitor cluster health. 5. Apply security controls across KMS, PKI, encryption, and container runtime protection (Aqua). 6. Troubleshoot complex system‑level problems (performance, networking, topology). 7. Collaborate with product, security, and SRE teams to align cloud solutions with business goals. 8. Document architecture, processes, and operational runbooks. **Required Skills** - Deep experience with GCP services (Compute, VPC, Hybrid Connectivity, KMS). - Expertise in Kubernetes (GKE), container orchestration, and IaC (Terraform). - Proficient in DevOps/SRE practices, CI/CD design, and automation (Python, Go, Bash). - Strong knowledge of Service Mesh (Istio, Anthos), observability, and monitoring. - Familiarity with policy engines (OPA Gatekeeper), GitOps, and tracking tools (Backstage). - Proven ability to secure, monitor, and troubleshoot large‑scale cloud environments. - Excellent written and verbal communication; ability to explain technical concepts to non‑technical stakeholders. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience). - GCP Professional Cloud Architect or Professional Data Engineer certification is preferred. - Kubernetes certifications (CKA or CKAD) and Terraform Associate are a plus.

Manchester, United kingdom

Hybrid

11-03-2026

Company Name

Infinity Quest

Job Title

Infrastructure Support Engineer

Job Description

Job Title: Infrastructure Support Engineer Role Summary: Support and optimize OpenLink Endur ETRM environments, overseeing installation, performance tuning, and cloud integration while ensuring smooth operation across DEV, QA, UAT, and PROD stages. Expectations: Deliver robust, high‑availability Endur deployments in Azure; maintain performance standards; automate deployments, manage upgrades, and troubleshoot connectivity, service, and database issues. Key Responsibilities: - Architect, design, deploy, and support OpenLink Endur environments. - Deploy, configure, and tune Endur ETRM systems on Azure. - Manage multiple Endur environments (DEV, QA, UAT, PROD) for consistency and performance. - Lead or assist in Endur version upgrades and patching. - Resolve technical issues: connectivity failures, service outages, database bottlenecks. - Maintain gateways, domain/cluster/grid services, and Endur interfaces (ICE, CME, WS, MDT). - Develop and maintain PowerShell, SQL, batch, and shell scripts for automation. - Implement Git-based DevOps workflows and Azure Pipeline build/release orchestration. - Perform performance tuning on Endur and supporting infrastructure (Oracle/MSSQL). Required Skills: - Extensive hands‑on experience with OpenLink Endur environment management (installation & configuration). - Deep understanding of Endur architecture, deployment structures, and EOD workflows. - Proficient with Azure cloud services and related Endur dependencies. - Strong SQL skills with performance tuning for Oracle and Microsoft SQL Server. - PowerShell and shell scripting expertise. - DevOps experience: Git, automated code deployment, Azure Pipelines (build, release, CI/CD). - Knowledge of domain services: Connex gateways, domain/cluster/grid services. - Understanding of interfaces: ICE, CME, WS Gateway, MDT. - Familiarity with ETRM/CTRM systems, trading workflows, risk management, trade capture, market risk, back‑office, accounting, and End‑of‑Day processes. Required Education & Certifications: - Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field. - Certifications in Azure (e.g., AZ-103/104) and/or Endur/CTRM are highly desirable.

London, United kingdom

Hybrid

11-03-2026

Company Name

Infinity Quest

Job Title

Senior Kernel Security Analyst

Job Description

**Job Title** Senior Kernel Security Analyst **Role Summary** Lead analysis and remediation of Linux kernel security issues. Utilize deep kernel internals knowledge to debug crashes, deadlocks, and memory corruption, triage CVEs, and develop secure patches. Provide expertise in kernel debugging tooling and secure coding practices. **Expectations** - 6–8 years of hands‑on Linux kernel engineering or vulnerability research. - 3–5 years of C‑level debugging, low‑level memory analysis, or system‑level debugging experience. - Demonstrated ability to develop kernel modules or patches. - Strong grasp of secure coding, vulnerability patterns, and exploit mitigation. **Key Responsibilities** - Debug and analyze kernel crashes, deadlocks, and memory corruption. - Conduct kernel CVE triage and design/implement security fixes. - Leverage kernel debugging tools (crash, ftrace, perf, sanitizers, GDB). - Develop and review kernel patches and modules. - Perform security code reviews and vulnerability assessments of kernel code. - Document findings, mitigation strategies, and technical recommendations. **Required Skills** - Linux kernel development and deep knowledge of kernel internals. - Proficiency in C debugging, low‑level memory analysis, and system‑level debugging. - Experience with kernel debugging tools: crash, ftrace, perf, sanitizers, GDB. - Secure coding practices, vulnerability pattern identification, and exploit mitigation. - Kernel CVE triage and patch development. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Computer Engineering, or related field. - Relevant certifications (e.g., Certified Secure Software Lifecycle Professional (CSSLP), GIAC Secure Software Programmer (GSSP)) preferred but not mandatory.

United kingdom

Remote

Senior

11-03-2026

Company Name

Infinity Quest

Job Title

Data Scientist

Job Description

**Job Title:** Data Scientist **Role Summary:** Design and implement LLM‑enabled analytics and machine learning solutions for trading analytics within a structured, project‑based environment. Deliver end‑to‑end data science objectives, from exploration to production deployment, while collaborating with engineering teams to integrate models into operational systems. **Expectations:** - Mid‑senior level Data Scientist with proven commercial experience. - Consultative, outcome‑driven performance; work independently with clear deliverables. - Deliver high‑quality, production‑ready outputs that meet predefined project milestones. **Key Responsibilities:** - Design and build machine‑learning models supporting trading, market analysis, and AI initiatives. - Develop Retrieval‑Augmented Generation (RAG) pipelines, embeddings, and vector‑based retrieval systems. - Manage the full data science lifecycle: data extraction, preprocessing, feature engineering, model development, validation, and optimization. - Evaluate model performance, validate results, and apply iterative tuning to achieve target metrics. - Collaborate with platform and engineering teams to integrate solutions into existing systems and workflows. - Produce clear technical documentation and project deliverable artifacts aligned to milestones. **Required Skills:** - Commercial delivery of Data Science and Machine Learning solutions. - Hands‑on experience with LLMs and generative AI tooling (OpenAI / Azure OpenAI, Hugging Face, LangChain, LlamaIndex). - Practical expertise building RAG architectures, embeddings, and vector‑based retrieval. - Strong Python programming, familiarity with standard DS/ML libraries (scikit‑learn, PyTorch, TensorFlow, etc.). - Experience in consulting or project‑based delivery environments. - Self‑sufficient and able to meet agreed deliverables independently. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field (or equivalent professional experience). ---

London, United kingdom

Hybrid

12-03-2026