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.

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 ideallyGrafana
• 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,

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

Senior GraphQL Engineer (GraphQL Federation) to design, build and scale high-performance GraphQL APIs in a modern TypeScript/Node.js stack, deployed to Kubernetes in a cloud-native environment. This is an ideal contract for a GraphQL specialist who loves clean schemas, resilient services, and production-grade delivery.

The Role (Key Responsibilities)

• Own end-to-end GraphQL API delivery: schema design through to production integration, focusing on performance, maintainability, security, and scalability.
• GraphQL Federation expertise: design and implement supergraphs, subgraphs, resolvers, and governance patterns (versioning, evolution, backward compatibility).
• Build and maintain TypeScript + Node.js backend services, integrating with modern frontends and varied data sources.
• Apply DevOps best practices: CI/CD pipelines (Jenkins, Concourse), Docker, Helm, Kubernetes, and YAML-based deployments.
• Work in an Agile engineering environment: collaborate closely, review PRs, influence architecture, and continuously improve delivery.
• Ensure APIs are observable and reliable in production using modern telemetry and APM tooling.
• Champion GraphQL best practices and share knowledge across teams (mentoring/coaching desirable).

Required Experience (Skills & Tech)

• Strong commercial experience delivering Federated GraphQL in production (schema-first design, supergraph/subgraph architecture, resolvers, schema governance, and API evolution).
• Advanced TypeScript and Node.js backend development.
• Testing experience with modern frameworks such as Vitest and Playwright (API + end-to-end).
• Hands-on delivery with Kubernetes, Helm, Docker, and YAML (cloud-native deployments).
• Observability / telemetry: Prometheus, Grafana, OpenTelemetry, Datadog, APM tools.
• Good understanding of CI/CD, infrastructure-as-code concepts, and production support best practices.
• Ability to improve existing codebases and influence architectural direction.
• Experience mentoring / coaching engineers is a plus.

Location:West London (Hybrid 2 days/week on-site)

Contract:6 months initial (extensions highly likely)
Start:ASAP
Eligibility:UK-based candidates only
Rate:Market rates (Outside IR35)

Please send yourlatest CV, confirming:

• Availability / start date
• Outside IR35 day rate

Staffworx Limited are a UK-based recruitment consultancy supporting the global digital, e-commerce, software, and business consulting sectors.

Principal Grafana Network Analytics Engineer 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 Grafana 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 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,

Role: DevOps Tech Lead

Location: Nottinghamshire

Working Arrangement: 1 Day Per Month Onsite

Salary: Up to £125k (Realistic £110120k)

Lets cut through it. This isnt a keep the lights on DevOps role.

This is a platform-shaping, culture-driving, reliability-owning Tech Lead position. Youll be the person who ensures the engine never stalls.

Powering 50+ websites and 10 mobile apps, this digital ecosystem operates at serious scale. The infrastructure behind it? Thats where you come in.

The Mission

Were looking for a DevOps Tech Lead to own the cloud platform, drive operational excellence and build a squad that delivers infrastructure properly.

Youll spend around 30% hands-on (because leaders who code earn respect), and the rest shaping strategy, mentoring engineers and pushing standards higher.

This is about:

Scalable, secure Azure cloud environments

Rock-solid Infrastructure as Code (Terraform)

Mature CI/CD pipelines & GitHub workflows

Observability, incident management & reliability

Building a true DevOps / SRE culture

If uptime, automation and elegant infrastructure matter to you - youll feel at home here.

What Youll Own

Lead a high-performing DevOps / Platform squad

Design and scale Azure infrastructure

Drive Terraform best practice across environments

Improve monitoring, alerting & system visibility

Implement SRE principles (SLAs, SLOs, error budgets)

Guide incident management & root cause analysis

Elevate CI/CD and release strategies

Embed a culture of automation, accountability and security

You wont just respond to incidents, youll design systems where incidents become rare.

What You Bring

Proven experience leading DevOps or SRE teams

Deep Azure expertise (networking, identity, cost, provisioning)

Strong Terraform & IaC in production

Docker, Kubernetes / AKS experience

CI/CD tooling (GitHub Actions or similar)

Monitoring stack exposure (Prometheus, Grafana, Azure Monitor, etc.)

Strong communication across tech & non-tech stakeholders

Bonus points for:

FinOps / cloud cost optimisation

Zero-trust / secrets management

Event-driven systems & distributed architecture

CDN & performance optimisation knowledge

You think strategically, You execute practically and you hold the bar high.

The Perks (And Theyre Proper Perks)

Up to £125k (sweet spot £110120k)

Remote-first (1 day per month onsite)

Monthly peer recognition with potential double pay for a month

Staff discount across all group brands

Onsite state-of-the-art gym with full shower facilities

Discounted gym memberships across multiple UK locations

24/7 wellbeing support including counselling & financial/legal advice

Real progression in a business that backs ambitious leaders

And heres something different - once a year youll spend time on the frontline of the business to understand how your platform impacts real-world operations. That perspective shapes better engineering decisions.

Why This Role?

Because youre not just another DevOps engineer. Youre someone who:

Wants influence.

Wants ownership.

Wants scale.

Wants to build systems that dont wobble under pressure.

This business moves fast, it rewards bold thinking and it backs leaders who step up.

If youre ready to take full ownership of platform reliability and build something that genuinely operates at scale.

Lets talk.

We welcome diverse applicants and are dedicated to treating all applicants with dignity and respect, regardless of background.

TPBN1_UKTJ

Job DetailsJob Title: GCP FinOps EngineerLocation- Newport, UKKey Responsibilities(Individual contributor role)*

• Optimise large scale data analytics workloads through 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, increased 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 (indexing, slots, pruning, partitioning, clustering)
• Expert-level Kubernetes & GKE resource tuning
• Hands-on experience with Dataflow job pipelines and worker optimisation
• Strong Airflow/Composer knowledge (DAG design, scheduling, PodOperator)
• Strong Dataflow processing pipelines development & schedulers knowledge
• Deep understanding of Cloud Logging routing, sinks, exclusion filters
• Experience with Cloud Spanner autoscaling, indexing, schema optimisation
• Cloud SQL performance tuning and indexing
• Ability to analyse billing data & resource consumption
• Experience using GCP Cost Explorer, Recommender API, Billing Export
• Ability to quantify cost savings and present ROI to leadership
• Build dashboards, alerts, and budget guardrails
• Strong communication and stakeholder management
• Ability to collaborate across engineering, data, and product teams
• Structured problem-solving mindset
• Ownership-driven, proactive and independent

Experience Required

• Min 5+ years experience in Google Cloud

Windows Site Reliability Engineer | £110K | Hybrid | London

Overview:
A leading global investment bank is seeking a skilled Windows Site Reliability Engineer to join their London-based Technology team. This is a senior-level leadership role focused on driving platform reliability, automation strategy, and infrastructure modernisation across mission-critical banking systems. This is an excellent opportunity to join an investment banking powerhouse.

Role and Responsibilities:

Lead Platform Engineering and SRE strategy across the organisation
Build scalable, self-service, and resilient infrastructure platforms
Drive Infrastructure as Code and CI/CD adoption, automating manual tasks
Define SLOs and optimise system performance, latency, and scalability
Lead root cause analysis and remediate technical debt
Partner with development teams to improve testing, releases, and deployments
Shape cloud and hybrid migration strategies
Ensure regulatory, audit, and security compliance
Act as senior escalation point for high-severity incidents
Identify cost and efficiency improvements; deputise for senior leadershipSkills and Experience:

Deep expertise in Microsoft Windows Server internals
Advanced knowledge of Active Directory, DNS, DHCP, LDAP, and Kerberos
Extensive experience tuning low-latency, enterprise-scale systems
Strong background in SRE, DevOps, CI/CD, and Infrastructure as Code principles
Advanced scripting and development capability (PowerShell, Python, C#)
Clustering, high-availability, replication, and disaster recovery expertise
Experience with Git, Terraform, Ansible, Jenkins, and TeamCity
Strong understanding of security hardening (CIS) within regulated environments
Deep knowledge of performance monitoring, system internals, and optimisation techniques
Experience working within financial services or other regulated industriesDesirable:

Kubernetes and Docker orchestration
Major cloud platforms (Azure, AWS, GCP)
Nutanix HCI and VMware ESX
Enterprise databases (SQL Server, Oracle, Sybase ASE, MongoDB, Snowflake)
Enterprise monitoring tools (Splunk, Netcool)Package

Circa £110,000 + Excellent Package
London / Hybrid x3 days onsite
Flexible working consideredWindows Site Reliability Engineer | £110K | Hybrid | London

Job Description: HPC Expert ( Must have SC Security clearance)

Pay: £450-500 per day PAYE 600-700 Umbrella

Location: Nottingham /Derby

Start date: ASAP

Role Overview

This role provides high-level consultancy and firsthand engineering expertise to modernise High-Performance Computing (HPC) environments with a focus on containerisation of HPC and HPC/ML workloads, cluster optimization, and MPI-aware workflows.

Responsibilities include assessing the existing HPC infrastructure, advising on best-practice for container strategies, and delivering technical recommendations based on real workloads

Key Responsibilities

The ideal candidate will collaborate with the customer to assess existing HPC infrastructure and workloads through various customer workshops and interviews, to identify:

1. HPC Environment Assessment & Optimization

• Conduct rapid reviews of existing HPC infrastructure, including Beowulf clusters, Slurm job schedulers, workflow execution patterns, and key use cases.
• Analyze current HPC/ML workloads and identify performance constraints, containerization opportunities, and runtime optimization options.

1. HPC Containerization Strategy

• Produce a strategy for MPI-optimized container images using tools such as Apptainer/Singularity (SIF), OpenMPI, Podman, and Buildah.
• As part of the report’s findings outline repeatable, secure build pipelines for HPC workloads.
• Identify in the report opportunities to align container platforms with HPC orchestration requirements (batch, interactive, scientific workflows).

1. Technical Workshops, Stakeholder Engagement

• Lead technical discussions, workshops, and training sessions to upskill engineering and research teams on containerization and HPC best practices.
• Produce concise written reports outlining the recommendations and findings, use cases, future strategy, HPC market view along with, next steps, and architectural patterns.

HPC Tools, Runtimes & Ecosystem Integration

• Have a good understanding of Slurm scheduling, MPI job patterns, JupyterHub/JupyterLab for data-science workflows, GPU scheduling tools such as Run:AI, and SDLC practices tailored to research/HPC environments.

Essential Skills & Experience

• Proven background in high-performance computing, including hands-on use of Beowulf-style cluster environments.
• Strong practical knowledge of Slurm job scheduling and MPI job optimization.
• Demonstrated experience with MPI-aware container technologies (Apptainer/SIF, OpenMPI, Podman, Buildah).
• Ability to run structured interviews, technical workshops, and cross-team engineering sessions.
• Experience supporting typical HPC, ML and scientific workloads.
• SC Clearance and UK-only nationality is frequently required for HPC consulting roles within defense/aerospace environments.

Desirable Experience

• Knowledge of CFD software (e.g., OpenFOAM).
• Familiarity with Kubernetes or Singularity as an HPC runtime, GPU slicing, and image lifecycle governance.

Experience contributing written outputs such as market assessments of HPC container technologies.

Call Steve Hill on 01462 670666

IND/LET

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.

Cardiff | £50,000 - £60,000 | Hybrid (2/3 days onsite) The Opportunity We're supporting a fast-scaling SaaS organisation looking for an experienced DevOps Engineer to play a critical role in deploying, monitoring, and operating production systems serving tens of thousands of users. This is a high-impact position, directly influencing customer experience, system reliability, and overall company growth. You'll work within an agile engineering function using modern tooling including AWS, Terraform, Kubernetes and Ansible. What You'll Be Doing Providing technical thought leadership across Engineering & Architecture Designing and maintaining Infrastructure as Code across dev & prod Building robust observability and monitoring frameworks Supporting uptime/SLAs Designing and maintaining Kubernetes clusters (advanced configuration) Designing and maintaining Kafka clusters (including DR & scaling strategy) Building and optimising CI/CD pipelines Identifying infrastructure vulnerabilities and improving resilience What We're Looking For 3+ years DevOps experience in a SaaS environment Strong AWS expertise Advanced Kubernetes administration Advanced Kafka administration (DR, topic scaling, performance tuning) Infrastructure as Code (Terraform essential) Config management (Ansible, Chef or Puppet) CI/CD tooling (Git, Jenkins or GitHub Actions) Distributed systems knowledge Strong networking knowledge (TCP/UDP, SSL, firewalls) Security-first mindset Prior development experience (ideal) What's On Offer Hybrid working (2/3 days onsite) Benefits Include: Enhanced parental leave Generous annual leave Healthcare plan Cycle-to-work scheme Pension with employer contribution Life assurance (3x salary) Rewards & discounts programme LinkedIn Learning licence Ready to Apply? Contact Lewis Allen or apply to find out more. Please apply with a CV and a cover letter outlining why you're perfect for the role. Know someone great for the job? We offer a referral scheme-just get in touch! Note: We do our best to respond to every application, but due to volume, we can't always guarantee it. If you haven't heard back within 7 days, unfortunately, you haven't been successful this time. Keep an eye on our site for new opportunities

Python Software Engineer with strong container orchestration and a passion for machine learning is sought by a high growth scale up based near Cheltenham.

Working at the forefront of defence and national security innovation this Python Software Engineer will work within a collaborative engineering function to build bleeding edge AI/ ML enabled software solutions that keep millions of people safe.

This role would suit software engineers with experience working in an R&D/ innovation focussed environment who are looking for more end to end project exposure and fast track progression opportunity

This Python Software Engineer based near Cheltenham should have most of the following key skills:

• Solid Python engineering skills
• Containerisation (docker, Kubernetes)
• Solid general Machine learning skills - PyTorch,Tensorflow etc
• NoSQL database experience
• Experience working in R&D or innovation focused engineering teams would be a plus
• Front end skills would be useful - Angular, React etc
• An active SC clearance would be a plus but not essential

This Python Software Engineer will receive

• Starting salary of up to £75,000
• Hybrid working (2 days a week in the office)
• Extensive personal development scheme
• 25 days holiday
• 10% private pension scheme
• Bonus
• Private healthcare
• Truly autonomous, collaborative culture with extensive growth potential
• Regular remuneration reviews

So if you are a Python Software Engineer who wants to join a market leading business with innovation at its core please apply now to be considered

Cheltenham - Hybrid - Permanent
Research & development, generative AI, machine learning, LLM, Python, NoSQL, PyTorch, Tensorflow, Docker, Kubernetes

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.

Do you know someone great? We ll thank you with up to £1,000 if your referral is successful (terms apply).

For more exciting roles and opportunities like this, please follow us on IT Recruitment.

Location: Hampshire
Security Clearance: Active DV Clearance Required

• Long term engagement

Overview

We’re looking for a DV Cleared DevSecOps Platform Architect & Engineer to join a high-profile, secure military IT programme, delivering highly resilient, automated, and secure data platforms.

This role sits at the intersection of DevSecOps, platform engineering, cloud infrastructure, and secure data systems, supporting advanced research and large-scale data analysis in a mission-critical environment. If you enjoy building things that have to work first time, in places where failure is not an option, you’ll feel right at home.

Key Responsibilities

• Design, build, and maintain secure DevSecOps platforms supporting sensitive data workloads
• Architect and deliver automated CI/CD and GitOps pipelines for rapid, secure deployments
• Develop and manage secure cloud and hybrid infrastructure
• Implement security-first engineering practices across the full SDLC
• Build and optimise data pipelines for large-scale data processing and analytics
• Design and operate containerised platforms using Kubernetes and modern orchestration tooling
• Embed security controls, monitoring, and compliance across all environments
• Collaborate closely with engineering, security, and operational teams

Essential Skills & Experience

• ActiveHLC
• Strong experience in DevSecOps and Platform Engineering
• Deep hands-on expertise with CI/CD pipelines and GitOps tooling
• Strong background in cloud platforms (AWS, Azure, or GCP - secure environments preferred)
• Experience designing secure, scalable infrastructure-as-code solutions
• Strong knowledge of containerisation and orchestration (Docker, Kubernetes, Helm, etc.)
• Proven experience building data pipelines and supporting large-scale data processing platforms
• Solid understanding of cybersecurity principles, zero-trust, and secure system design

Desirable Experience

• Experience working in defence, military, or highly regulated secure environments
• Knowledge of air-gapped or restricted network architectures
• Exposure to big data platforms, analytics tooling, or AI/ML pipelines
• Background in site reliability engineering (SRE) or reliability-focused platform design

Why This Role?

• Work on cutting-edge secure military systems
• High-impact engineering - your work directly supports critical national capabilities
• Proper engineering challenges, not just “keeping the lights on”
• Long-term programme stability and excellent contract longevity

Role: AI Developer

Location: London - up to 3 days per week on-site

Duration: 3 Months

Day rate: 540 - 585 Umbrella Only

Minimum of 5 years UK residency required

Role Description:

We’re looking for an experience AI developer with the skills below. They’ll be building out our client’s AI needs and wants using a Microsoft Azure and Copilot stack.

Essential skills and experience

• Design and develop Microsoft Azure AI solutions using services such as; AI Foundry, Open-AI services, and Microsoft Copilot Studio.
• Apply governance frameworks for AI/ML models.
• Python knowledge to automate processes
• Large datasets experience, including data preprocessing, feature engineering, and model evaluation.
• Agile development of AI solution from concept to deployment to continuous improvement.
• Create and maintain technical documentation
• Communicate complex concepts to all stakeholders.
• At least 3 years of experience in AI solution engineering.
• Large Language Models experience including prompt engineering and RAG implementations.
• Expert data analytics, MLOps practices and API development.
• Desirable knowledge in Docker and Kubernetes

We are delighted to be working in partnership with an established market leader in managed communications technology and systems integration who develop their own products. For over 40 years, they ve been at the forefront of innovation, transforming customer experiences through smarter communications, automation, analytics and AI. They deliver transformative communication and CX solutions throughout the UK and internationally, supporting clients with global reach and ambition. As the business expands, they are looking to onboard a DevOps SysAdmin to support teams across the business for both internal and hosted infrastructures including hardware, operating systems and server-based applications.

As a Senior DevOps Systems Administrator, you ll lead automation efforts, work with cutting-edge tools, and be trusted to make key decisions that influence the direction of the business. The DevOps Engineer will help architect robust hybrid cloud solutions and streamline infrastructure with tools like Terraform, Ansible, and GitHub Actions. You ll be working in a collaborative environment that invests in your development with clear progression, technical certifications, and the opportunity to mentor others whilst growing your leadership skills.

Key Responsibilities will include:

• Design, deploy and support infrastructure across AWS and private cloud
• Automate infrastructure with Terraform and Ansible
• Build and maintain CI/CD pipelines using GitHub Actions
• Implement observability tools (Grafana, Prometheus, CloudWatch)
• Work across teams to improve reliability and security
• Manage hybrid networks, IAM, firewalls and VPNs

The successful DevOps Systems Administrator will have:

• At least 3-5 years of DevOps experience, including hands-on AWS,
• Experience with VMware or Proxmox.
• Strong Linux skills with networking and cloud security knowledge.
• Experience of working with Terraform, Ansible, and Kubernetes (e.g. EKS)
• Confident scripting in Bash, Python or Go

AWS Certifications and knowledge of security tools such as Trivy would be beneficial.

This is a fantastic and exciting opportunity for an experienced Systems Administrator, DevOps Engineer or Platform/Cloud Engineer to work as part of a people-first company that holds exceptional staff retention rates and career development opportunities. The role comes with a generous benefits package, including retail discounts, private healthcare, flexible working arrangements and many more. If you re ambitious, curious and can demonstrate loyalty as an employee, this is your chance to learn and grow your career in a company with pedigree, purpose and potential.

Please not that this is a permanent position seeking candidates that can demonstrate longevity of service with their former employers.