Job Role: Cloud Engineer
Location: Barrow In Furness, Cumbria
Salary: £50-55k PA + Benefits

Technology and Risk Recruitment (TRR) is recruiting on behalf of a client for a Cloud Engineer to support, maintain, and continuously improve their cloud and IT infrastructure. This role is critical in ensuring the availability, security, and resilience of core IT services while supporting the organisation’s wider technology strategy.

The Role:
The Cloud Engineer will be responsible for the design, implementation, and ongoing management of the organisation’s cloud infrastructure, ensuring systems are secure, resilient, and aligned with best practice. You will work closely with the IT Infrastructure Manager and wider IT team to support business-critical systems and services.

Key Responsibilities:
Cloud Infrastructure & Availability

• Manage availability, performance, and capacity of cloud services.
• Monitor and diagnose issues using Azure Monitor, Application Insights, and Log Analytics.
• Ensure agreed service levels for availability and performance are consistently met.

Cloud Design & Security

• Design and implement Azure solutions aligned with architectural best practices.
• Apply security-by-design principles across all cloud services.
• Ensure solutions meet business continuity and disaster recovery requirements, including regular testing.

Support & Operations

• Provide 2nd/3rd line support for cloud, infrastructure, and network-related issues.
• Manage incidents and problems through to resolution, documenting lessons learned.
• Provide guidance and knowledge sharing within the IT team.

Networking

• Manage Azure networking components including Virtual Networks, Subnets, NSGs, and Firewalls.
• Maintain internal LAN and WAN connectivity to ensure stable and resilient network services.
• Monitor network performance and resolve issues in line with change control processes.

Continuous Improvement & Compliance

• Research and recommend new cloud technologies to improve stability, performance, and security.
• Contribute to regulatory compliance, risk management, business continuity, and audit processes.
• Provide evidence and support internal and external audit requirements.

Skills & Experience Required:
Essential

• Strong hands-on experience with Microsoft Azure (VMs, Entra ID/Azure AD, Storage, Networking, Firewall, Backup).
• Experience supporting Microsoft 365 (Exchange, Teams, SharePoint, Defender, Purview, Intune).
• Proficiency in PowerShell and/or Azure CLI for automation and administration.
• Experience with Azure networking (VNets, Subnets, NSGs).
• Strong understanding of cloud security best practices.
• Experience with monitoring and diagnostics tools (Azure Monitor, Log Analytics).
• Knowledge of backup, disaster recovery, and resilience planning.
• Experience with Azure SQL, Cosmos DB, or similar database services.

Desirable

• Infrastructure as Code (ARM templates or Terraform).
• Azure DevOps, Git, and CI/CD pipelines.
• Azure cost management and optimisation.
• Microsoft automation tooling (Power Automate, Kubernetes).
• Experience with Intune, Autopilot, and broader M365 endpoint management.

Why Apply?
This is an excellent opportunity to join a stable, forward-thinking organisation where you will play a key role in shaping and supporting a secure, resilient cloud platform in a hybrid working environment.

You will play a key role in designing, developing, and supporting high-performance software solutions within secure and mission-critical environments. You’ll work closely with multidisciplinary teams to deliver reliable, scalable, and maintainable systems that meet demanding operational requirements. This role will involve contributing across the full development lifecycle, from early design and implementation through to deployment and long-term support, using modern cloud-native and DevOps practices.

Key Responsibilities

• Design, develop, test, and maintain secure, high-performance backend services using modern programming languages.
• Write clean, efficient, and maintainable code with a strong focus on reliability, performance, and security.
• Translate solution architectures and business requirements into detailed technical designs and implementations.
• Build, deploy, and manage containerised applications on Kubernetes using Helm and continuous deployment tools.
• Support Agile delivery by contributing to sprint planning, backlog refinement, and user story development.
• Produce clear, accurate, and high-quality technical documentation in line with agreed standards.
• Participate actively in Agile ceremonies, including stand-ups, planning sessions, reviews, and retrospectives.
• Monitor live systems, investigate performance or reliability issues, and implement fixes and enhancements.
• Collaborate with DevOps and platform teams to improve automation, testing, and deployment pipelines.
• Contribute to prototyping, experimentation, and the development of innovative technical solutions.
• Ensure compliance with organisational processes, quality standards, and security requirements.
• Support continuous improvement through code reviews, knowledge sharing, and adoption of new technologies.

Reasonable Adjustments:

Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.

If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.

Principal Software Engineer - Data Visualisation / Dashboard Development Edinburgh, UK | Fully Remote (UK-based)

Engineering | Cyber Security

£95,000 & Benefits

Ever wanted your dashboards to actually defend the internet?

This role does exactly that.

Im recruiting on behalf of a high-growth cyber security technology company that protects some of the worlds most critical online services from large-scale DDoS and application attacks. Their software sits right at the heart of customer networks- and when it works (which it must), entire businesses stay online. Theyre now expanding their world-class engineering team and are looking for a Principal-level expert to lead the charge on network and security analytics.

The Opportunity This is not a keep-the-lights-on role. Youll own and lead the design and development of sophisticated, high-performance dashboards used to visualise real-time network and security data. Youll set technical direction, mentor engineers, and build analytics that help customers instantly understand and stop complex cyber attacks. Youll be trusted to work from first principles , influence architecture, and make decisions that genuinely matter. What Youll Be Doing Leading a small, highly skilled team focused on network & security analytics

Designing and building advanced Grafana dashboards running in Kubernetes

Turning complex data into clear, insightful visualisations

Developing and reviewing complex queries (Grafana, Splunk, Python)

Mentoring engineers and shaping technical best practice

Balancing hands-on development with technical leadership and ownership

What Were Looking For Essential Strong experience building dashboards and analytics in Python and ideally Grafana

Proven background leading engineers in an agile environment

Solid understanding of Linux and AWS

Excellent communication skills you can explain complex ideas simply

A strong technical degree (Computer Science, Maths, Statistics, Engineering, or similar)

Nice to Have Knowledge of networking protocols and how the internet actually works

Experience with Splunk & SPL

SQL or similar data manipulation skills

Exposure to network security products

HTML, CSS, JavaScript

Data Science or Machine Learning experience

Location & Flexibility Edinburgh-based engineers : hybrid working (typically 2 days in office)

Fully remote options available for the right candidate

Cutting-edge tech, complex data, and meaningful problems

A culture that values ownership, curiosity, and smart engineering

If youre a senior/principal engineer who loves data, networks, and building things that actually matter this ones worth a conversation.

Bright Purple is an equal opportunities employer and we are proud to work with clients who share our values of diversity in our industry,

TPBN1_UKTJ

Our Hedge Fund client is looking for a Python Developer/Engineer Contract role

This team is responsible for the firms equity transaction data platform, including trade life cycle event processing, enrichment, and PnL calculations. The role is ideal for an engineer who enjoys building robust, high-throughput services and data pipelines in a fast-paced, delivery-focused environment.

Principal Responsibilities
Design and develop solutions for trade life cycle event processing, including corporate actions, expiries, and other post-trade events.
Build and operate Python-based services that perform large-scale data transformations and calculations.
Publish and distribute transaction and PnL data using Kafka, including AVRO-based schemas and streaming patterns.

Required Skills
Minimum of 6+ years of professional Python development experience, ideally in capital markets or a fintech firm.
Experience in finance: understanding of common financial asset classes; knowledge of equities corporate action processing, trade life cycle concepts, and/or P&L calculations is a strong plus.
Experience with Kafka (or equivalent streaming/messaging platforms) and schema-based event publishing (eg, AVRO).
Strong experience performing large-scale data calculations in Python using libraries like pandas, polars, and NumPy.
Experience building REST services using frameworks such as FastAPI and/or Flask.
Strong SQL skills and experience working with relational databases in production environments.
Hands-on experience with containerized deployments and modern infrastructure tooling (Docker, Kubernetes) and familiarity with cloud platforms.
Understanding of modern SDLC practices (testing strategy, CI/CD, release management, observability, and operational ownership).

Office based, 5 days per week.
Based in London.

Contract role inside IR35

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Akkodis are currently working in partnership with a market leading service provider to recruit a number of 3rd Line Cloud Engineers to join their growing support team.

The Role
As a 3rd Line Cloud Engineer you will support and deliver Azure platform services for enterprise customers. The role focuses on the operational management of Azure environments, working closely with internal teams and customers to maintain, improve, and support production cloud infrastructures.
As an Azure Cloud Engineer you will have strong hands-on experience with Azure services, a proven background supporting large corporate environments, and the ability to operate effectively within an agile, service-oriented team. This role involves contributing to platform stability, implementing continuous improvements, and ensuring reliable, high-quality support for enterprise-scale Azure infrastructure while collaborating closely with senior team members and stakeholders.
The Responsibilities
Perform root cause analysis, investigation, diagnosis, and reporting of cloud-related issues.
Monitor and optimize Azure environments to ensure high availability, performance, and security.
Troubleshoot and resolve build, deployment, and infrastructure issues.
Ensure compliance with industry standards and best practices for security, scalability, and reliability.
Create and maintain detailed documentation for processes, configurations, and procedures.
Develop and maintain scripts for automation using PowerShell.
Participate in on-call support outside business hours (additional compensation provided).

The Requirements
Hands on experience managing Azure environments across multiple subscriptions and regions.
Strong expertise in Azure IaaS services (Compute, Storage & Networking).
Experience with Azure networking: VNets, Subnets, NSGs, Route Tables, Network Interfaces.
Knowledge of hybrid connectivity including ExpressRoute and VNet Gateways.
Experience with load balancing and traffic management (Azure Load Balancer, Traffic Manager).
Hands-on experience with Azure Storage Accounts, Snapshots, and Backup/Recovery Services Vaults.
Working knowledge of Azure Key Vault, Certificates, Managed Identities, and App Registrations.
Experience implementing private connectivity using Private Endpoints and Private DNS Zones.
Exposure to Azure Kubernetes Service (AKS) and containerised workloads.
Experience managing Azure ARC-enabled resources in hybrid environments.

If you’re keen to join a highly successful and growing cloud support team please apply now.

Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law.

Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers.

By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.

Principle Java Engineer Salary to £70k + Company Options Scheme Hybrid working between your home, their offices (London Vauxhall) & client sites. NB: Please only apply if you are a UK National and able to achieve SC (ideally DV) clearance i.e. you have at least 5 years residency in the UK with no more than a 3 month break outside the UK. This company is a Workflow & AI Orchestration Specialist. They're on a mission to modernise how public sector organisations manage casework, derive insight from data and deliver citizen services. Theyre growing fast and looking for bright, dynamic people to help build their business. Role Theyre looking for an experienced (Principle/Team Lead) Java Engineer to join their implementation team. Youll work across Camunda BPMN/DMN process automation, API integration, and microservice orchestration helping their public-sector clients build secure, scalable, and resilient digital services. Youll collaborate with solution architects, business analysts, and designers to translate workflows into elegant, maintainable code. Youll play a key part in defining technical standards, optimising runtime performance, and mentoring less- experienced engineers in workflow-centric delivery. This is an ideal role for someone who enjoys solving complex process problems through clean code, automation, and modern engineering practices. The role involves visiting client sites; the company will cover travel expenses. Frequency is uncertain but candidates should be comfortable with that being 2-3 days per week. Client sites could be anywhere but will most likely be in & around London. Responsibilities Design, develop, and deploy Camunda-based process and decision automation solutions Implement and integrate Java-based microservices, APIs, and connectors within orchestration flows Translate BPMN and DMN models into executable workflows and reusable components Collaborate closely with analysts and service designers to refine and iterate business processes Develop and maintain automated test suites, CI/CD pipelines, and containerised deployments Optimise Camunda engine performance and monitor workflow metrics for production environments Participate in code reviews, peer testing, and technical design discussions Contribute to their internal best-practice frameworks and automation accelerators Essential Eligible (have resided in the UK for the past 5 years) and prepared to go through UK SC Security Clearance Strong experience in Java software engineering and object-oriented design Strong Spring (Boot) experience Experience with REST APIs, and microservice architectures Knowledge of Docker and Kubernetes for containerisation and orchestration Proficiency in Git, CI/CD pipelines, and automated testing frameworks Understanding of event-driven design and message brokers (e.g. Kafka, RabbitMQ) Good knowledge of security, authentication, and integration patterns for enterprise systems Experience working in agile teams within digital transformation or automation programmes A willingness to learn BPMN and Camunda tooling Some exposure to process automation or microservice orchestration Desirable Experience with Camunda 8 (Zeebe) clusters and Operate/Tasklist components Experience implementing solutions using Camunda 7 or 8 (BPMN/DMN) Familiarity with Camunda connectors, external task workers, and scripting extensions Exposure to cloud platforms (AWS, Azure, GCP) and infrastructure-as-code (Terraform, Helm) Experience integrating process automation with case-management or service-orchestration platforms Understanding of agentic AI capabilities and how they can complement workflow automation Experience mentoring developers or contributing to open-source Camunda extensions Already holding UK security clearance (SC, DV, eDV) Other Stuff NB: Please only apply if you are a UK National and able to achieve SC or DV clearance. i.e. you have at least 5 years residency in the UK with no more than a 3 month break outside the UK. NB: for non-UK Citizens; we cannot accept applications from anyone requiring sponsorship (now or in the future) for UK permanent employment status. If you are utilising a work visa this must allow you to work in the UK unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Java software engineer object-oriented design OOD Camunda BPMN DMN Spring Boot REST API microservice architecture Docker Kubernetes containerisation orchestration Git CI/CD pipelines automated testing frameworks Kafka RabbitMQ Security authentication integration patterns enterprise systems agile digital transformation automation Java developer Camunda developer Zeebe Cloud AWS Azure GCP Terraform Helm process automation agentic AI artificial intelligence security clearance SC DV eDV London home based hybrid lead senior manager manage

Location: London (Hybrid - 2 days WFH, subject to business need)

Contract: Permanent, Full-Time
Hours: 9:00am - 5:30pm (additional hours as required; on-call to be confirmed)

Overview of Role

The Engineer - Platform Engineering is responsible for developing pipelines and automation scripts to deliver IT infrastructure across both public and private cloud environments, incorporating security best practices throughout.

This role partners closely with infrastructure and application teams to identify automation opportunities, design reusable solutions, and support adoption across the wider IT function. The position also provides operational support for core cloud infrastructure technologies and acts as a third-line escalation point where required.

Key Responsibilities

• Work with infrastructure and application teams to identify automation opportunities and prioritise initiatives.
• Provide effort and impact assessments to support automation roadmaps.
• Design and develop standardised CI/CD pipelines for infrastructure deployment.
• Act as a subject matter expert in infrastructure automation, mentoring colleagues and promoting best practice.
• Integrate tooling (eg, ServiceNow) for automated provisioning and service workflows.
• Design, develop, and deploy modular cloud-based systems.
• Maintain and optimise cloud solutions in line with security policies and best practices.
• Identify and remediate infrastructure vulnerabilities and deployment issues.
• Develop and document cloud standards, guardrails, and best practices.
• Ensure CMDB accuracy using automation wherever possible.
• Operationalise proof-of-concept solutions into production-ready platforms.
• Collaborate with Infrastructure, Application, and Security Architects during solution design.
• Engage with vendors to test and benchmark new technologies.
• Ensure business continuity and disaster recovery standards are Embedded in infrastructure design.
• Act as third-line escalation support for IT Operations.
• Maintain accurate documentation, time tracking, and change management compliance.
• Contribute to process improvement and foster strong working relationships across IT teams globally.

Qualifications

• Bachelor’s degree in a related field (or equivalent experience).
• Microsoft Azure certification preferred.

Experience & Technical Skills

Required:

• Minimum 5 years’ relevant experience.
• Proven experience developing automation solutions from ideation to deployment.
• CI/CD tooling experience.
• Strong Scripting and pipeline development capability.
• Terraform.
• Linux.
• Git version control.
• Automation across public cloud platforms.
• Strong understanding of Information Security best practices.

Preferred:

• GitHub and GitHub Actions.
• Microsoft Azure.
• PowerShell.
• Kubernetes.
• Python.
• Ansible.
• Visual Studio Code.
• Windows Server and Active Directory.
• ServiceNow integrations.
• Packer (server imaging).
• VMware, Cisco UCS, Dell EMC (private cloud infrastructure).
• Cisco ACI, F5, Palo Alto (private cloud networking).

Personal Attributes

• Strong written and verbal communication skills.
• Ability to work effectively in diverse, global teams.
• Resilient and able to work under pressure with shifting priorities.
• Self-starter with strong initiative.
• Detail-oriented with excellent organisational skills.
• Strong analytical and strategic problem-solving ability.
• Committed to continuous improvement and challenging the status quo.
• Comfortable handling sensitive information with discretion.

Senior Backend Engineer

London - 4 days on site

Up to £110k + benefits

We’re hiring for one of the UK’s fastest growing fintech scale-ups. As a Senior Software Engineer, you will be deeply hands-on designing, building, deploying and operating scalable infrastructure services as part of a platform team. This is a role for someone who enjoys solving hard distributed systems problems and building robust foundations that others depend on.

Responsibilities:

Design, build, deploy, and operate secure, scalable infrastructure and automation

Improve and develop tools that make infrastructure easier for engineers to use

Research and adopt modern cloud-native technologies and best practices

Promote high engineering standards across code quality, testing, and automation

Skills:

Strong backend engineering capability (Golang, Java, or .NET)

Strong hands-on experience building and operating distributed systems in cloud environments (AWS or GCP)

Kubernetes and container orchestration experience

Infrastructure as Code experience (Terraform, Pulumi, Crossplane or similar)

Proven track record leading platform or reliability transformations

Ability to influence across teams without formal authority

If you want to work on a product used by over 100,000 customers this is the role for you.

We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.

TPBN1_UKTJ

Role: Platform Engineer
Location: London Area, United Kingdom (Hybrid)
Employment Type: Full-time
Seniority: Mid-Senior
Salary: £75,000 - £90,000

Are you a skilled Platform Engineer looking to build secure, scalable cloud infrastructure within a fast-paced, regulated environment?

We’re hiring a hands-on engineer to design, implement and optimise AWS-based platforms, working closely with architecture and security teams in a hybrid London setup.

What You’ll Do

• Design and manage AWS cloud architecture
• Build infrastructure as code using Terraform
• Develop and maintain CI/CD pipelines (Jenkins, GitHub, CircleCI)
• Manage containerised environments (Docker, Kubernetes, AWS Fargate)
• Embed security tooling (WAF, IDS, IPS, SIEM)
• Troubleshoot and optimise cloud infrastructure

Required Experience

• 3-5 years as a Platform Engineer
• Strong AWS and cloud architecture expertise
• Terraform and CI/CD pipeline experience
• Knowledge of cloud security tooling
• Strong troubleshooting skills

Nice to Have

• Banking/financial services experience
• Python Scripting
• Infrastructure management exposure
• Broader enterprise architecture experience

If you’re proactive, technically strong and ready to make an impact in a hybrid London role, get in touch for a confidential conversation.

Reasonable Adjustments:

Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.

If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.

Are you passionate about automation, cloud, and infrastructure done right?

We’re working with a prestigious international law firm looking for a talented Platform Engineer to join their global IT function in London. If you’re someone who enjoys building smart, secure, and scalable infrastructure through code, this could be your next move.

The Essentials

• Role: Platform Engineer
• Location: Central London (hybrid working model - 3 days in the office)
• Type: Permanent
• Industry: Global law firm
• Team: Working closely with global infrastructure, application, and security teams

Why this role?

• Join a forward-thinking IT function focused on automation, efficiency, and modern cloud delivery
• Play a key role in shaping and executing global cloud strategy
• Exposure to a broad tech stack across public cloud, private data centres, and enterprise tooling
• Work in a supportive and collaborative team with real scope to influence best practices and innovation
• Be part of a firm that genuinely invests in tech and values expertise

What you’ll be doing

• Designing and building infrastructure pipelines and scripts to automate delivery across public and private cloud platforms
• Working with teams across infrastructure, security, and applications to identify and implement automation opportunities
• Creating reusable solutions and mentoring others on infrastructure-as-code best practices
• Supporting key cloud platforms (particularly Azure), integrating with tools like ServiceNow, and enhancing operational resilience
• Contributing to cloud governance, documentation, and technical standards across the firm

What you’ll bring

• Previous experience working as a Platform Engineer/DevOps Engineer within mid to large scale multinational professional service environments.
• Hands-on experience with Terraform, CI/CD
• Experience automating into public cloud providers
• Current experience working with Microsoft Azure
• Experience developing pipelines and scripts
• A proactive, collaborative mindset with a passion for automation and continual improvement

Nice to have

• Microsoft Azure Certification, preferred
• Experience with Kubernetes, Ansible, PowerShell, python

Interested?

This is a fantastic opportunity to secure a pivotal role in a leading global organisation.

If you meet the criteria and are excited about this opportunity, apply now to discuss your next move with our specialist tech recruitment team.

Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive workplace where all employees feel valued and respected. We encourage applications from candidates of all backgrounds.

We’re looking for a Splunk & OpenShift Observability Engineer to design, deploy, and optimise enterprise-grade monitoring across hybrid Kubernetes and OpenShift environments.

This is a high-impact role where you’ll shape observability strategy, enhance service intelligence, and ensure platform reliability at scale - balancing performance, cost efficiency, and security governance.

You’ll work at the intersection of platform engineering, observability, and service intelligence, helping to transform raw telemetry into actionable insight. This is an opportunity to influence reliability strategy, improve operational maturity, and deliver measurable value across a modern cloud-native estate.

What You’ll Be Doing

• Design, deploy, and operate Splunk Enterprise and ITSI across hybrid Kubernetes/OpenShift platforms
• Onboard and normalise data at scale (HEC, Universal Forwarder, Deployment Server), aligning to CIM standards
• Build and optimise ITSI service models: service trees, KPIs, adaptive thresholds, NEAP policies, glass tables, deep dives, and health scoring
• Deliver OpenShift-focused executive and operational dashboards, including:
• Cluster/API/etcd health
• Node readiness and resource pressure
• Pod restart trends and noisy-neighbour detection
• Network and storage error visibility
• Capacity, quota, and burst analysis
• Optimise search and platform performance (workload rules, DMA, summary indexing, scheduling hygiene, concurrency tuning)
• Implement intelligent alerting and automated routing into ITSM and ChatOps platforms, including enrichment, suppression windows, and maintenance scheduling
• Govern data ingestion and security controls (RBAC, retention, PII handling, TLS, token governance, index and role mapping)
• Integrate telemetry pipelines including OpenTelemetry, Prometheus, Fluentd/Fluent Bit/Vector, Kafka, CMDB and AIOps/ML solutions
• Drive SLO/KPI alignment, golden signal monitoring, rollout/rollback health validation, and executive reporting

What You’ll Bring

• Deep expertise in Splunk Enterprise (SPL mastery, CIM alignment, saved searches, macros, KV stores, index/retention/RBAC design, performance tuning)
• Strong experience with Splunk ITSI (service trees, KPIs, adaptive/time-based thresholds, NEAP tuning, Service Analyzer configuration)
• Proven OpenShift/Kubernetes observability experience across control-plane metrics, events, logs, workload correlation, and capacity management
• Hands-on experience with telemetry pipelines (OpenTelemetry/OTLP, Prometheus exporters, Fluentd/Fluent Bit/Vector, Kafka with TLS, HEC/UF/DS onboarding)
• Strong understanding of reliability engineering principles (golden signals, SLO design, namespace/application KPI mapping)
• Experience optimising performance and licensing costs using workload rules, DMA, and summary indexing
• Solid security and compliance knowledge (TLS/mTLS, certificate/token hygiene, PII controls, auditability, role/index mapping)
• Automation and integration expertise across ITSM, ChatOps, webhooks, CMDB enrichment, and AIOps tooling

Role Summary

We are seeking a highly skilled MLOps Engineer to focus on the deployment, monitoring, and maintenance of machine learning models in production environments. This role is platform-focused and does not involve model development or end-user support. The successful candidate will ensure reliability, scalability, and performance of ML platforms while managing API endpoints and deployment workflows.

Key Responsibilities

Platform Operations & Monitoring

• Monitor ML model endpoints and platform health using tools such as Grafana and Domino Data Lab
• Respond to incidents and alerts; perform code fixes and manage changes via ServiceNow
• Liaise with Domino Data Lab support to resolve platform-related issues

Model Deployment

• Deploy and maintain ML models in production environments
• Ensure models integrate seamlessly into automated pipelines
• Maintain reliability, version control, and governance standards

Pipeline Maintenance

• Collaborate with Data Scientists and Engineers for smooth production handoff
• Maintain and optimize ML pipelines for stability and scalability
• Improve performance, resource usage, and automation

Automation & Tooling

• Implement automation for deployment and monitoring
• Contribute to continuous platform improvements

Required Skills & Experience

• Strong Python programming experience
• Proven experience deploying and monitoring ML models in production
• Understanding of model evaluation metrics, data drift, overfitting, and feature importance
• Experience with AWS services (S3, Redshift, etc.)
• Hands-on experience with Grafana for monitoring
• Familiarity with Domino Data Lab (desirable)
• Strong knowledge of CI/CD, version control, Docker, Kubernetes
• Excellent troubleshooting and incident management skills
• Strong stakeholder communication skills

A leading global financial services business has an exciting opportunity for a Platform Lead / Engineering Manager to join a dynamic team and play a central part in shaping and extending our internal developer platform which underpins how engineers build, deploy and operate applications across the organisation. Your decisions will directly influence developer experience, security and scalability.

You will lead a distributed engineering team, support their development, and guide day-to-day technical direction for the platform. You will define and refine the product vision, using customer feedback, stakeholder needs and market insight to set priorities and maintain a clear backlog. The role requires close collaboration with application developers, product owners, security and data teams, and includes contributing to enterprise architecture reviews to maintain engineering quality and compliance.

Essential Skills / Experience

Strong familiarity with the Kubernetes ecosystem and hands-on cloud engineering experience is essential - (this is a K8s-first role) + cluster add-ons, networking (Cilium), policy engines (Kyverno), and autoscaling (Karpenter).

Build out - Namespace-as-a-Service capabilities

Review and challenge Kubernetes-related architectural proposals

Debug complex issues across the Kubernetes stack using structured root cause analysis

Review pull requests in Python and Golang that directly interact with the Kubernetes API

Tech Stack

AWS EKS

Cilium

Kyverno

Karpenter

Python

Golang

Kanban

CNCF Stack

GitOps / CD

Policy as Code

IaC

Observability

Visible presence in the cloud native community through open source contributions, community engagement, or conference speaking would be amazing but not essential.

Azure Cloud Engineer (SC Cleared) London (Hybrid) 6 Month Contract to £550/day-£600/day (Inside IR35) Azure Cloud Infrastructure Engineer needed with active SC Security Clearance, AZURE Terraform code. 6 Month Contract based in Central London (Hybrid). Start ASAP in March 2026. Hybrid Working - 2 days/week remote (WFH), and 3 days/week working on-site from the London office. A chance to work with a leading global IT and Digital transformation business specialising in Government projects: Experienced Azure Cloud Engineer required to support cloud transformation programme. Must have in-depth experienced in AZURE Terraform code, GitHub Actions, implementation of both CI/CD.                                                                                          Hands-on experience in Software Development. Experience implementing or maintaining a CI/CD pipeline using Github Actions, Terraform, and Azure. Good working knowledge of PowerShell, SQL of the installation and configuration of Windows based systems. Provide automated testing as you develop and Strong written and verbal communication skills. Experience of Agile methods, Azure DevOps, CI/CD pipeline maintenance + automation scripting, also strongly preferred. Ability to plan, schedule and manage a demanding workload.  Experienced in mentoring and training junior engineers. Desirable:  Experience implementing or maintaining a CI/CD pipeline using Github Actions, Terraform, and Azure. Azure Monitoring.  Software development experience using C# and SQL Server. Packer, Kubernetes, AKS, Flux or Helm Banking / Financial Services domain experience preferred. Must hold active SC Security Clearance used on a project within the past 12 Months

Azure Cloud Engineer (SC Cleared)

London (Hybrid)

6 Month Contract

to £550/day-£600/day (Inside IR35)

Azure Cloud Infrastructure Engineer needed with active SC Security Clearance , AZURE Terraform code.

6 Month Contract based in Central London (Hybrid). Start ASAP in March 2026.

Hybrid Working - 2 days/week remote (WFH), and 3 days/week working on-site from the London office.

A chance to work with a leading global IT and Digital transformation business specialising in Government projects:

• Experienced Azure Cloud Engineer required to support cloud transformation programme.
• Must have in-depth experienced in AZURE Terraform code, GitHub Actions, implementation of both CI/CD.
• Hands-on experience in Software Development.
• Experience implementing or maintaining a CI/CD pipeline using Github Actions, Terraform, and Azure.
• Good working knowledge of PowerShell, SQL of the installation and configuration of Windows based systems.
• Provide automated testing as you develop and Strong written and verbal communication skills.
• Experience of Agile methods, Azure DevOps, CI/CD pipeline maintenance + automation Scripting, also strongly preferred.
• Ability to plan, schedule and manage a demanding workload. Experienced in mentoring and training junior engineers.

Desirable:

• Experience implementing or maintaining a CI/CD pipeline using Github Actions, Terraform, and Azure.
• Azure Monitoring. Software development experience using C# and SQL Server. Packer, Kubernetes, AKS, Flux or Helm
• Banking/Financial Services domain experience preferred.
• Must hold active SC Security Clearance used on a project within the past 12 Months.

Position: Forward Deployed Engineer (B2)
Location: London, UK (Hybrid)
Permanent position

Job Requirements

• Experience building GenAI applications, including RAG, multi-agent systems, fine-tuning, etc., with tools such as LangChain, LangGraph etc.
• Clear understanding of Model Context Protocols, A2A Protocols, Agent Developeer Kit and working experience with LLMs
• Expertise in deploying production grade GenAI solutions, including evaluation and optimizations; Machine Learning deployments on AWS, Azure or GCP
• Extensive hands-on data science experience, leveraging machine learning and data science tools (i.e., pandas, scikit-learn, PyTorch, etc.)
• Experience with DevOps tools: Kubernetes, Docker, Terraform, CI/CD Pipelines, GitHub/GitLab, GitOps, GitHub Actions, Jira, Jenkins, CircleCI, Datadog, Slack.
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
• 5+ years of engineering and technical deployment experience in a customer-facing set up
• Should scoped and delivered complex systems in rapid and ambiguous environments
• Delivered production-grade code across frontend and backend using Python, JavaScript, or similar stacks
• Understand how AI model behaviour affects product experience
• Communicate clearly with engineers, product teams, and customer stakeholders
• Flag risks early and seek attention as per the severity

Key responsibilities:

• Help clients integrate and adopt the offerings; demonstrate the impact / outcomes the offerings commited such as KPI improvements and help client succeed
• Embed within the client landscape, understand their domain and co-develop solutions with the core product engineering teams
• Own technical delivery across multiple deployments from prototype to stable release
• Build bespoke AI and transformative agentic AI solutions
• Technical debugging and root cause analysis
• Rapid prototyping
• Implement and administer best practices

We’re hiring an experienced AI Platform Engineer to design, build and operate a production-grade Generative AI platform powering next-generation intelligent products. This is a hands-on engineering role focused on taking AI solutions from prototype to scalable, reliable services used in real-world environments.

You’ll sit at the intersection of DevOps, cloud infrastructure and applied AI owning the full lifecycle of Retrieval-Augmented Generation (RAG) and LLM-powered systems across modern cloud architecture.

This role is about engineering, not research. You will architect and run the infrastructure that enables AI to perform securely, reliably and at scale ensuring performance, cost control and operational maturity as adoption grows.

You’ll work closely with AI engineers, security teams, and product stakeholders to transform experimental models into hardened, production-ready services while shaping a reusable AI platform capable of supporting multiple products.

What You’ll Be Doing

• Design and optimise scalable RAG pipelines and vector search systems
• Orchestrate multi-model AI services with a focus on latency, resilience and performance
• Productionise GenAI workflows and ensure they operate reliably under real usage
• Build and run AI services across AWS and Databricks
• Develop ingestion, embedding and retrieval pipelines
• Deploy containerised workloads via Kubernetes and Helm
• Implement Infrastructure-as-Code using Terraform
• Introduce end-to-end monitoring, tracing and alerting for AI workloads
• Improve inference and retrieval performance while reducing operational cost
• Establish fault-tolerant, scalable infrastructure patterns
• Embed security, evaluation and governance into the AI lifecycle
• Build CI/CD pipelines and automation to support continuous model deployment
• Create reusable platform components to accelerate future AI initiatives

Strong experience in:

• Cloud infrastructure engineering (AWS-focused environments)
• Kubernetes, containerisation, and distributed systems
• Terraform / Infrastructure-as-Code
• CI/CD, automation, and platform reliability
• Running production workloads with high availability requirements

Plus, experience with one or more of the following:

• MLOps or ML platform engineering
• RAG architectures, embeddings, or vector search
• Model serving, observability or performance optimisation
• Data / AI workflow orchestration in Databricks or similar ecosystems

Why Join?

• Work on real-world AI systems operating at scale
• Own platform design decisions and influence long-term architecture
• Blend modern DevOps practices with cutting-edge Generative AI use cases
• Be part of a growing, innovation-driven engineering environment
• Opportunity to define how AI is operationalised across multiple products

If you’re excited by building the infrastructure that makes AI usable, scalable and reliable in production, we’d love to hear from you.

49914MS

INDLON

Portfolio Payroll Ltd is acting as an Employment Agency in relation to this vacancy.

Job Title: GCP FinOps Engineer

Location: Newport, UK (Hybrid)

Contract Duration: 6 Months

IR35 Status: Inside IR35

Role Overview

We are seeking an experienced GCP FinOps Engineer to optimise cloud spend, performance, and operational efficiency across large-scale data analytics and containerised workloads. You will work closely with engineering, data, and product teams to embed cost-efficient architectures, enforce financial governance, and implement best practices across Google Cloud environments.

Responsibilities

• Optimise large-scale data analytics workloads via partitioning, clustering, query rewrites, storage format improvements, and lifecycle policies.
• Tune containerised microservices by recalibrating CPU/memory requests, improving autoscaling efficiency, and restructuring workload placement on cost-efficient compute.
• Redesign workflow orchestration pipelines for parallel execution, higher concurrency, and offloading heavy tasks to lower-cost execution environments.
• Analyse distributed data-processing pipelines to right-size worker types, adjust scaling thresholds, and adopt low-cost compute for batch workloads.
• Reduce log-processing and storage overhead through log-level standardisation, routing rules, exclusion filters, and retention optimisation.
• Implement storage-tiering strategies based on access patterns and enforce lifecycle rules to minimise cold data retention costs.
• Improve relational database performance through index tuning, connection optimisation, and instance right-sizing.
• Enhance horizontally scalable database performance via autoscaling policies, index improvements, and mitigation of read/write hotspots.
• Build dashboards, budgets, alerts, and guardrails to drive ongoing cost governance and financial accountability.
• Collaborate with engineering teams to embed cost-efficient architecture patterns and operational best practices.

Key Skills / Knowledge

• 5+ years of hands-on experience in Google Cloud.
• Strong understanding of GCP data services, including indexing, slots, pruning, partitioning, and clustering.
• Expert-level Kubernetes & GKE resource tuning.
• Hands-on experience with Dataflow pipelines and worker optimisation.
• Strong Airflow/Composer knowledge (DAG design, scheduling, PodOperator).
• Deep understanding of Cloud Logging, routing, sinks, and exclusion filters.
• Experience with Cloud Spanner autoscaling, indexing, and schema optimisation.
• Cloud SQL performance tuning and indexing.
• Ability to analyse billing data, resource consumption, and quantify cost savings.
• Experience using GCP Cost Explorer, Recommender API, and Billing Export.
• Build dashboards, alerts, and budget guardrails for cost governance.
• Excellent communication and stakeholder management skills.
• Ability to collaborate across engineering, data, and product teams.
• Structured problem-solving mindset; ownership-driven, proactive, and independent.

Forward Deployed Engineer Generative AI / LLM Deployment
GenAI LangChain RAG AWS Kubernetes Customer-Facing

We are hiring a Forward Deployed Engineer to lead the deployment of production-grade Generative AI and LLM solutions into enterprise environments.

This is a hands-on, customer-facing role focused on building and deploying RAG pipelines, multi-agent systems and fine-tuned LLM applications using tools such as LangChain and LangGraph. You will embed with client teams, own technical delivery from prototype to production, and demonstrate measurable KPI impact.

Key Responsibilities

• Design and deploy GenAI / LLM applications (RAG, agentic AI, fine-tuning)
• Lead production deployment on AWS, Azure or GCP
• Build scalable backend systems in Python (JavaScript a plus)
• Manage infrastructure using Kubernetes, Docker, Terraform
• Own end-to-end technical delivery across multiple client deployments
• Conduct debugging, optimisation and root cause analysis
• Communicate complex AI concepts to technical and non-technical stakeholders

Requirements

• Strong experience building and deploying LLM / Generative AI solutions
• Hands-on with LangChain, RAG, multi-agent systems
• Cloud ML deployment experience (AWS, Azure or GCP)
• DevOps tooling: Kubernetes, CI/CD, GitHub, GitOps
• Customer-facing technical delivery experience
• Background in Machine Learning, Data Science or AI Engineering

This role suits a Senior Machine Learning Engineer, Applied AI Engineer, AI Solutions Engineer or LLM Engineer who enjoys client impact, rapid prototyping and owning delivery in fast-moving environments.

Apply now to work at the forefront of enterprise AI deployment and agentic systems.

Founding Full-Stack Engineer (Greenfield Digital Banking) Central London 4 days onsite Full-time 90,000 - 100,000 + 15-20% bonus

We’re working with a highly successful, family-owned international private bank to hire a Founding Full-Stack Engineer for a brand new, greenfield digital banking build based in Central London.

This is a rare opportunity to join right at the beginning of a newly formed product team and help build a next-generation digital banking experience from first principles deliberately outside of legacy systems. The environment is genuinely “startup-style” (small team, high ownership, fast delivery), but backed by serious scale, long-term investment, and a strong focus on quality, stability and client trust.

The role As one of the first engineering hires, you’ll play a key part in shaping:

• the technical foundations
• engineering standards
• architecture and system design
• how the team builds and ships product

You’ll work closely with Product and Design, delivering secure, high-quality digital experiences for high-value clients and complex workflows.

What you’ll do

• Design, build and maintain end-to-end features across frontend and backend
• Architect scalable, secure and maintainable systems for private banking / institutional use cases
• Own key technical decisions, balancing delivery speed with long-term quality
• Build APIs, services, data models and modern web experiences
• Establish high standards of engineering quality through testing, reviews and automation
• Contribute to platform foundations, shared components and internal tooling
• Embed security, performance and resilience best practices into everything you ship
• Help define engineering standards and ways of working as the team grows

What we’re looking for

• 8-12+ years’ experience as a full-stack or senior engineer owning production systems
• Strong experience building modern web applications across frontend and backend
• Frontend expertise with modern frameworks (React, TypeScript or similar)
• Strong backend experience (Node.js, Java, Python or similar)
• Solid understanding of APIs, architecture, databases and cloud infrastructure
• Exposure to CI/CD and modern DevOps practices (containers, Kubernetes, automation)
• Comfortable being a technical owner in open-ended / ambiguous environments
• A builder mindset - pragmatic, delivery-focused, and quality-led
• Experience in financial services / fintech / regulated environments is beneficial but not essential
• Strong awareness of security, privacy and compliance considerations is highly valued

Why this opportunity stands out

• Genuine greenfield build with meaningful ownership from day one
• Founding hire in a small, high-calibre team
• Startup-style delivery with the backing of a global financial institution
• Direct access to decision-makers and influence over product direction
• Quality-first culture focused on trust, stability and long-term value
• Competitive salary + strong bonus + benefits

Cloud Infrastructure Engineer 8 months SC Cleared Hybrid - London

My customer is looking for an SC Cleared Cloud Infrastructure Engineer with strong cloud and Infrastructure-as-Code expertise to support the delivery of a large-scale Infrastructure Transformation project.

This role requires a Security Cleared Cloud Infrastructure professional with solid, hands-on experience with DevOps, Terraform, and GitHub.

Responsibilities of the Cloud Infrastructure Engineer:

• Lead the complete transition of applications into the Azure environment.
• Create Automation by implementing CI/CD pipelines using GitHub.
• Implement and manage Infrastructure as Code (IaC) working with tools such as Terraform.
• Provide SRE-level support, troubleshooting, and incident resolution for complex cloud environments.
• Coach less-experienced engineers and champion collaborative knowledge-sharing.
• Installing and configuring Windows based systems.
• Integrate PowerShell automation with database operations
• Writing clear and concise documentation.

Essential Skills of the Cloud Infrastructure Engineer:

• Must hold an Active SC Clearance.
• Must have experience completing large scale transformation projects.
• Must have extensive hands-on experience:
  • Azure DevOps
  • PowerShell
  • SQL
  • CI/CD pipelines
  • GitHub
  • Terraform (Infrastructure as Code)
• Desirable hands-on experience:
  • Kubernetes
  • C# development
  • Packer
  • Helm
  • AKS
  • Flux

The successful Cloud Infrastructure Engineer must be available to work 2 days a week onsite in Central London.

Apply now to speak with VIQU IT in confidence. Or reach out to Matt Farrell via the VIQU IT website.

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