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Job Title: Software Engineer Location: London Salary: TBC - We are booking interviews in next week! Please call or email for a slot As a Software Engineer you'll play a pivotal role in developing cutting edge DevSecOps software systems and applications. You'll be at the forefront of driving innovation and safeguarding digital infrastructures in the UK. The Role: So, what will you be doing as a Software Engineer? Typically, you will be involved in one or more of the following: Planning, conducting and coordinating software development activities. Working with customers and key stakeholders to identify requirements and ready to advise on and influence the adoption of suitable architectures and solutions. Design and development of tests to debug software. Working with customer requirements that are to be programmed into business/mission applications, whilst utilising the appropriates standards, processes and tools throughout the entire development lifecycle. Mentoring of junior engineers. Analysis of system capabilities to resolve questions of program intent, output requirements, input data acquisition, programming techniques, and controls. Championing automation in the form of IaC, CI/CD and test automation. Extra info: Expert knowledge of current Java. Proficient in another language such as Python, C++, JavaScript, TypeScript, React. Advanced knowledge of AWS Services such as EC2, EKS, Fargate, IAM, S3, Lambda. Advanced knowledge of CI/CD software pipelines for Cloud deployments. Expert knowledge of developing software for cloud deployment - specifically AWS. Expert in developing software for microservice and or serverless architectures. Advanced understanding the development challenges moving on-prem workload to cloud. Experience of developing on Linux. Advanced understanding of mocking and unit testing frameworks such as JUnit 5.x (Jupiter). Expert with Git version control. Proficient in Agile Development using SCRUM. Advanced knowledge of Oracle/ Relational Databases and/or Mongo. Experience of GitLab CI/CD Pipelines. Experience of Apache NiFi. Experience in the use of Atlassian Suite - Bitbucket, Jira, Confluence. Experience of Elasticsearch and Kibana. Advanced knowledge of Hibernate.We would love to hear from you if you have any of the following Qualifications or Certifications: Oracle Java Certification. AWS Certification. ISTQB Certification. OSCP Certification. CCNA Certification. My client is keen to get this position filled ASAP, so if you feel you have the skills and desire to provide passion and drive as the next Software Engineer, this is the opportunity for you! You will be required to undergo DV clearance for this role. So, if you are interested in joining a well-established, renowned, globally recognised organisation working with experts in their field as the next Software Engineer, hit that apply button now! Services advertised by Gold Group are those of an Agency and/or an Employment Business. We will contact you within the next 14 days if you are selected for interview. For a copy of our privacy policy please visit our website

DevOps Engineer - Wearables A new role has become available for a DevOps Engineer at a company which is developing cutting edge wearable payments technology. With this payment solution being used by financial institutions, wearable manufacturers as well as events and stadium owners, the possible applications of this secure payment technology are endless. As a DevOps Engineer you will be in charge of designing and maintaining both cloud and physical infrastructure. For the cloud side, they use AWS and as part of the physical infrastructure, you will need to go to their datacentre from time to time. This role is ideal for a junior-mid level engineer, hoping to exapnd their skills and knowledge. This is a highly varied role where you will get the opporunity to own and drive forward DevOps projects in this company. Some you the AWS services you will get to use include: EC2, DynamoDB, Elastic Beanstalk, Route 53, Lambda, Cloudfront, AWS Firewall Manager, Terraform, Certificate Manager, Cloudwatch, CloudTrail and SNS/SQS. Requirements: - AWS experience - Cisco and Juniper switches / firewalls - Linux based servers or similar Apply: Kristian AT enterpriserecruitment DOT com Position: DevOps Engineer - Wearables Salary: Up to £60K

QA & Test Engineer - Runtime Assurance Systems Location: London (on-site at HQ) Employment Type: Permanent - Full Time About the company The company is a fast‑growing start‑up building the Trust Layer for physical AI and autonomous systems - next‑generation safety‑tech designed to unlock the true benefits of AI for humanity. Its software enables assured, trustworthy deployment of both traditional deterministic autonomy and AI‑driven control methods in safety‑critical environments, initially focused on aerospace and land domains. Working culture The company is a fast‑growing start‑up with ambitious goals, and its culture reflects that. The team is motivated by building meaningful technology, solving hard problems and moving quickly together, embracing collaboration and change as part of start‑up life. Individuals thrive here if they enjoy taking ownership, wearing multiple hats and learning quickly, and are comfortable going beyond core hours when work demands it - not because it is expected every day, but because seeing progress matters. The organisation looks for people who want to be part of something being built from the ground up and who bring commitment, curiosity and teamwork to everything they do. The role The business is seeking an exceptional QA & Test Engineer to join the engineering team building cutting‑edge runtime assurance systems for AI and robotics applications. The role holder will play a vital part in developing and assuring safety‑critical embedded software components that underpin the safe and reliable operation of the company's solutions. Reporting to the CTO, the QA & Test Engineer will lead the design, development and execution of test and verification activities for the runtime assurance platform across multiple hardware architectures and real‑time operating systems. The position combines hands‑on technical work with significant influence over QA processes, tooling and continuous improvement. Key responsibilities Lead the design, development and implementation of embedded software for the runtime assurance platform across various hardware architectures and real‑time operating systems. Ensure compliance with industry standards, regulations and best practices for safety‑critical software development, such as DO‑178C, ISO 26262 and IEC 61508. Manage build configuration and CI/CD pipelines, using services such as Jenkins, CloudBuild or AWS CodePipeline. Develop and maintain Software‑in‑the‑Loop and Hardware‑in‑the‑Loop test environments, including automated deployment across multiple platforms. Integrate performance testing techniques across multiple types of simulation (e.g. Gazebo, rosbag‑based workflows). Collaborate with hardware engineers, systems architects and AI/ML specialists to integrate embedded software and test frameworks into the overall system. Participate in code reviews, performance optimisation and comprehensive testing (unit, integration and system level) to maintain high quality standards. Develop, implement and execute test strategies and verification activities for safety‑critical software, including static and dynamic code analysis using tools such as Rapita RVS, LDRA, VectorCAST or Polyspace. Define and maintain test cases, procedures and automation frameworks to ensure consistency and repeatability. Support compliance with safety standards (e.g. DO‑178C, ISO 26262, IEC 61508, DEF STAN 00‑55) through rigorous testing and documentation. Lead defect reporting, tracking and resolution through structured QA processes, and prepare and present test results, coverage metrics and assurance evidence for internal and external reviews. Contribute to continuous improvement of verification and validation processes, tools and best practices. Candidate profile Bachelor's or Master's degree in Computer Science, Electrical Engineering or a related field, or equivalent experience, with a strong focus on embedded systems QA and software development and/or testing. Hands‑on experience in embedded software testing and QA, with a proven track record in delivering safety‑critical systems. Solid understanding of software development methodologies such as Agile, Continuous Integration and Test‑Driven Development. Experience with one or more CI/CD pipeline services (e.g. Jenkins, CloudBuild, AWS CodePipeline). Experience with infrastructure and automation techniques (e.g. bash, Python) and source control tools such as Git. Experience with at least one automated test framework (e.g. pytest, GoogleTest/gtest). Experience developing and executing test strategies and verification activities for safety‑critical software, including static and dynamic analysis. Strong problem‑solving, analytical and debugging skills. Excellent communication and collaboration abilities, with the ability to work effectively in cross‑functional teams. Rewards and benefits Competitive compensation package, dependent on experience. Salary sacrifice pension scheme with a 5% matched company contribution. Generous holiday allowance. EV car scheme and cycle‑to‑work scheme. Additional benefits to be introduced as the company grows. Candidates will have the opportunity to join a team that is enabling a future in which AI is not only intelligent but also assured, safe and trustworthy. DCS Recruitment and all associated companies are committed to creating a working environment where diversity is celebrated and everyone is treated fairly, regardless of gender, gender identity, disability, ethnic origin, religion or belief, sexual orientation, marital or transgender status, age, or nationality

Trainee AI Programmer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £30,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £30,000–£45,000 We Get You Hired! We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps

I am recruiting for a Senior Infrastructure Engineer to work on a hybrid basis - 3 days in either London, Manchester, Bristol, Newcastle, York, Glasgow or Norwich, 2 days remote. The role falls inside IR35 so you will be required to work through an umbrella company for the duration of the contract. You MUST have worked within central government recently. Working with the End User Compute Team you'll be instrumental in shaping the infrastructure, network and cloud capabilities that support vital services for the client. As the Senior Infrastructure Engineer (Mobile Device Management), you won't just be maintaining systems, you'll be a key architect of our future infrastructure landscape. Working alongside Technical Architects and Principal Engineers, you'll design, maintain and upgrade our infrastructure, tackling challenges head on and ensuring seamless service delivery. You must have several years of experience managing an MDM / EMM solution and SaaS based platforms. A strong understanding of security and device hardening, especially with mobile devices such as phones and tablets. You will also have strong experience managing and administering of Android and iOS devices with Workspace ONE. You must have an understanding of Windows 11 and macOS device management and experience of supporting infrastructure services for 10000+ users. Experience in IaaS/PaaS Compute such as AWS, GCP or Azure is essential. Please apply ASAP

AI GTM Solution Engineer (GenAI / LLM / Pre-Sales) We’re hiring an AI GTM Solution Engineer to help shape and deliver cutting-edge Generative AI (GenAI) and LLM-powered solutions for enterprise customers. This is a customer-facing pre-sales / solution engineering role where you’ll design, prototype and demonstrate AI solutions, working closely with sales, product and engineering teams. Key Responsibilities * Design and deliver AI / GenAI solutions aligned to customer use cases * Build and showcase POCs, demos and technical presentations * Work with LLMs, LangChain, OpenAI APIs and AI agents * Support solution architecture, APIs, integrations and cloud deployments * Collaborate across GTM, sales and engineering to refine offerings Requirements * Experience in Solution Engineering, Pre-Sales, Sales Engineering or Technical Consulting * Strong knowledge of LLMs, Generative AI, Machine Learning * Hands-on with LangChain, OpenAI, GPT or similar tools * Programming experience in Python * Experience with APIs, integrations and REST services * Cloud exposure: AWS, Azure or GCP * Proven experience delivering POCs, demos or customer-facing solutions Desirable * Experience building AI-powered enterprise solutions * Background in startups or high-growth environments * Exposure to AI agents or agentic workflows This is a high-impact opportunity to work at the forefront of AI innovation, influencing GTM strategy and delivering real-world AI solutions

We are looking for a skilled AWS MLOps Engineer to help deploy, automate, and manage production-grade machine learning solutions within our clients AWS environment. This is a great opportunity for a MLOps Engineer to become a vital part on a new data team. This is a hybrid role with the expectation to be in the London office 1-2 times per week. Key Responsibilities Deploy ML models as real-time endpoints using Amazon SageMaker * Build and manage batch inference pipelines * Implement CI/CD workflows for ML using Git-based processes * Containerize applications using Docker * Monitor model performance, data drift, and system health using CloudWatch * Automate data pipelines and feature workflows using Python & SQL * Ensure secure access and governance using AWS IAM and best practices Core AWS Stack Amazon SageMaker | Amazon S3 | Amazon Redshift | AWS Lambda | Amazon CloudWatch | AWS IAM What We're Looking For ✔ Strong hands-on experience with AWS ML infrastructure ✔ Experience deploying and monitoring ML models in production ✔ Proficiency in Python and SQL ✔ Knowledge of Docker and CI/CD pipelines ✔ Experience with Infrastructure-as-Code (CloudFormation preferred) This role focuses on transforming machine learning from experimentation into secure, scalable, production-ready systems. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy

The Company This business is a rail software and consulting company with a growing team and a solid foundation of project-based revenue. It works with leading organisations across the UK rail industry, helping them harness data to solve complex operational challenges. Data Engineers are key to this mission - building robust data infrastructure and tooling that powers insights, analytics, and software products used across the rail network. The Role As a Data Engineer, you'll be part of a collaborative technical team, working across the data lifecycle: from designing ETL pipelines and integrating real-time data streams, to developing APIs and backend systems that deliver rail data securely and reliably. You'll work closely with engineers, consultants, and project managers to translate real-world rail problems into scalable technical solutions. This role sits at the intersection of software engineering, data architecture, and delivery. Key Responsibilities Data Engineering & Infrastructure • Design and implement robust data pipelines (batch and real-time) for ingesting, transforming, and serving rail-related datasets. • Develop and maintain data APIs and services to support analytics, software features, and reporting tools. • Build data models and storage solutions that balance performance, cost, and scalability. • Contribute to codebases using modern data stack technologies and cloud platforms (e.g., Azure, AWS). Collaborative Delivery • Work with domain consultants and delivery leads to understand client needs and define data solutions. • Participate in agile delivery practices, including sprint planning, reviews, and retrospectives. • Help shape end-to-end solutions — from ingestion and transformation to client-facing features and reporting. Best Practices & Growth • Write clean, well-documented, and tested code following engineering standards. • Participate in design reviews, code reviews, and collaborative development sessions. • Stay up-to-date with new tools and trends in the data engineering space. • Contribute to internal learning sessions, tech talks, and shared documentation. The Candidate You might be a good fit if you have experience with: • Building ETL/ELT pipelines using tools like Kafka, dbt, or custom frameworks. • Working with structured and unstructured data at scale. • Backend development in Python (or similar), and familiarity with data APIs. • Cloud data platforms (e.g., AWS Redshift, Azure Synapse). • SQL and database design for analytics, reporting, and product use. • Agile collaboration with cross-functional teams. You don’t need experience in rail — just curiosity and a willingness to learn the domain

Infrastructure Data Engineer • Kafka Focus Fully Remote | Outside IR35 Working pattern: Sunday to Thursday Supporting a team based in Israel Exalto Consulting is supporting a client looking to appoint an experienced Infrastructure Data Engineer with strong Apache Kafka expertise. This is a fully remote contract role for someone who has hands-on experience running and improving Kafka in live production environments. The focus is not on initial setup alone. It is on keeping a high-volume streaming platform reliable, scalable, and well tuned over time. You would be joining a team responsible for maintaining and developing core data infrastructure that supports a range of business-critical use cases. The work includes improving platform performance, strengthening reliability, and helping internal teams make effective use of streaming capabilities. What the role involves You will take ownership of the day-to-day operation and improvement of Kafka infrastructure in production. That includes identifying performance issues, tuning configurations, resolving incidents, and building out the surrounding platform components needed to support a dependable streaming environment. The role also involves close collaboration with engineering, data, and analytics teams, so it is important that you are comfortable working across functions and helping others use the platform effectively. Key responsibilities Operate, maintain, and optimise Kafka clusters in production environments Design and improve Kafka infrastructure to support a range of streaming use cases. Tune Kafka settings including partitions, replication, retention, and throughput Monitor platform performance and address bottlenecks, instability, and capacity issues. Build and support related components including Kafka Connect, Schema Registry, and ELK. Develop internal tooling and microservices to support self-service platform use Improve monitoring, alerting, and observability using Prometheus and Grafana. Investigate production incidents, carry out root cause analysis, and make preventative improvements. Work with engineering, data, and analytics teams to ensure reliable data delivery. What we are looking for Proven experience running Kafka in live production environments. Strong understanding of Kafka internals and the trade-offs involved in scaling and performance tuning. Experience with Kafka Connect and Schema Registry. Good scripting and automation skills, ideally using Python. Experience with Elasticsearch and Kibana. Strong knowledge of Linux environments, shell scripting, and system performance tuning. Experience with Docker and Kubernetes, or similar container and orchestration tooling. Experience with CI/CD, Git, and infrastructure as code tools such as Terraform or Ansible. A solid understanding of distributed systems and streaming architectures. Experience supporting platforms where availability, resilience, and scale are important. Desirable experience Exposure to stream processing tools such as Apache Flink. Experience with cloud platforms including AWS, Azure, or GCP. Knowledge of hybrid environments. Experience with RBAC, multi-tenant systems, or usage metering. Experience with MSSQL or other relational databases. Working arrangement This role is fully remote and sits outside IR35. The team is based in Israel, so the working pattern is Sunday to Thursday. There is a two-hour time difference from the UK, and candidates should be comfortable working in line with that team structure. Important note This role requires genuine hands-on experience operating and optimising Kafka in production. Candidates whose experience is mainly limited to implementation, provisioning, or setup without ongoing production ownership are unlikely to be the right fit. To find out more, please get in touch with Exalto Consulting with a copy of your latest CV. TPBN1_UKTJ

Java Software Engineer - DV Cleared - Onsite As a DV-cleared Software Engineer in Gloucester, you'll develop impactful solutions for government clients, working on Java and Ansible technologies. This role offers a collaborative environment with opportunities to mentor, learn new skills, and contribute to vital projects. What You'll Do: Design, develop, test, and document software systems using Java Focus on data processing using Ansible Support cloud infrastructure (AWS, Docker, microservices) Mentor junior developers and analyse code defects Collaborate in an Agile team environment Requirements: Must have active DV Clearance: UKIC DV Strong experience with Java and Ansible Proven problem-solving ability Team player with good communication skills Willing to work on-site (Gloucester/Cheltenham) 5 days a week Nice to Have: Cloud platform knowledge (AWS, Docker) Security sector experience Mentoring experience Ready to make an impact in national security? Apply now and become part of a mission-driven team! TPBN1_UKTJ

Data Engineer Opportunity, DV-cleared only London Manchester Bristol A progressive, leading-edge UK consulting and technology organisation is hiring Data Engineers to deliver mission-critical work across defence and security programmes, building modern data platforms and production-grade pipelines that enable better decisions at pace. Active DV clearance is essential, we are seeking DV cleared candidates only. The role You'll design and deploy production-grade data pipelines, from ingestion through to consumption, within a modern big data architecture. Work is delivery focused and delivered using agile engineering practices. Typical responsibilities • Build and operate robust pipelines across ingestion, processing, and consumption • Use scripting, APIs, and SQL to extract, transform, and curate data • Process large structured and unstructured datasets, integrating multiple sources • Collaborate with stakeholders and delivery teams to drive outcomes Core skills (indicative) • Production pipeline design and deployment experience • Strong engineering capability with Python, SQL, plus big data tooling (e.g., Spark, and Java/Scala where relevant • AWS, Azure, GCP Working pattern Hybrid working, with the team on client site or in the office a minimum of two days per week. Actual time and location will vary by role or assignment

Platform Engineer - INSIDE IR35 - Some remote work (2 days a week on site) - Yorkshire - up to £495 per day We are looking for an SC Cleared Platform/Software Engineer to work for a major client on system and authentication upgrade programme. They will also accept Engineers who are eligible for UK SC Clearance and will put you through the clearance process. Key Skills experience: Demonstrated proficiency in Java development PingDS PingIDM HAProxy Java Python PostgresSql Microsoft SQL Server Gatling(Scala) Jenkins Karate Playwright Docker Artifactory Maven Github AWS / Azure Kubernetes Terraform Damia Group Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept our Data Protection Policy which can be found on our website. Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job. Should the role require the successful candidate to undergo and be eligible for UK Security Vetting. Clearance sponsorship will be provided where required. Due to the nature of the work, candidates should meet the relevant residency requirements. If applicable, Reserved Post nationality restrictions will be confirmed by the client. Damia is committed to inclusive recruitment and welcomes applicants from all backgrounds. Damia Group is acting as an Employment Business in relation to this vacancy and in accordance to Conduct Regulations 2003. TPBN1_UKTJ

We have a current opportunity for a Head of Azure Platform Security on a permanent basis. The position will be based in London. For further information about this position please apply. Requirements Hands-on Azure cloud security architecture and implementation - Defender for Cloud, Policy-as-Code, RBAC, PIM, private endpoints, and secure landing zone design; AWS security experience also considered Network security engineering: firewall policy design and lifecycle management, micro-segmentation, NSG/UDR/NVA architecture, hub-spoke topology, and perimeter defence for hybrid environments WAF design, deployment, and operational tuning - Cloudflare, Azure Application Gateway, or equivalent; custom rule authoring and false-positive management at production scale Network flow log analysis and intrusion detection engineering - building detection logic for lateral movement, beaconing, anomalous egress, and C2 patterns SIEM engineering: detection rule authoring (KQL, SPL, or equivalent), log pipeline design, alert correlation, triage workflow - you write the rules, not just read the dashboard Endpoint and desktop security: EDR deployment and tuning (Defender for Endpoint, CrowdStrike), Intune/Jamf device management, privileged access workstations, JIT/JEA models API and application security: threat modelling (STRIDE/PASTA), OAuth 2.0/OIDC implementation review, secrets management (Key Vault, HashiCorp Vault), and secure SDLC integration PKI, certificate lifecycle automation, identity federation, and SSO across hybrid cloud and on-premises environments Security automation and IaC: Python, PowerShell, Terraform, Bicep, or Sentinel analytics rules - you codify controls, you do not document them MITRE ATT&CK coverage mapping; threat hunting, adversary emulation, and proactive gap analysis against realistic TTPs Cloud infrastructure - Azure preferred, AWS considered; IAM, managed services, automated and auditable deployment pipelines, secrets managementNice to Have Financial services, trading, or capital markets - operational security in a regulated, high-availability, zero-downtime-tolerance environment Zero-trust architecture: BeyondCorp, Zscaler, or equivalent; conditional access policy design and implementation DDoS mitigation, BGP security, and network resilience engineering for latency-sensitive financial infrastructure ISO 27001, SOC 2, DORA, or equivalent - hands-on implementation, not just audit participation Red team, adversarial simulation, or penetration testing programme design - experience on both sides of the exerciseWhat We're Looking For You are a builder first and a security engineer second - meaning you solve security problems by engineering better systems, not by writing longer policies. You find the gap before an attacker does because you have thought about how you would exploit the environment yourself. A Requirements Hands-on Azure cloud security architecture and implementation - Defender for Cloud, Policy-as-Code, RBAC, PIM, private endpoints, and secure landing zone design; AWS security experience also considered Network security engineering: firewall policy design and lifecycle management, micro-segmentation, NSG/UDR/NVA architecture, hub-spoke topology, and perimeter defence for hybrid environments WAF design, deployment, and operational tuning - Cloudflare, Azure Application Gateway, or equivalent; custom rule authoring and false-positive management at production scale Network flow log analysis and intrusion detection engineering - building detection logic for lateral movement, beaconing, anomalous egress, and C2 patterns SIEM engineering: detection rule authoring (KQL, SPL, or equivalent), log pipeline design, alert correlation, triage workflow - you write the rules, not just read the dashboard Endpoint and desktop security: EDR deployment and tuning (Defender for Endpoint, CrowdStrike), Intune/Jamf device management, privileged access workstations, JIT/JEA models API and application security: threat modelling (STRIDE/PASTA), OAuth 2.0/OIDC implementation review, secrets management (Key Vault, HashiCorp Vault), and secure SDLC integration PKI, certificate lifecycle automation, identity federation, and SSO across hybrid cloud and on-premises environments Security automation and IaC: Python, PowerShell, Terraform, Bicep, or Sentinel analytics rules - you codify controls, you do not document them MITRE ATT&CK coverage mapping; threat hunting, adversary emulation, and proactive gap analysis against realistic TTPs Cloud infrastructure - Azure preferred, AWS considered; IAM, managed services, automated and auditable deployment pipelines, secrets managementNice to Have Financial services, trading, or capital markets - operational security in a regulated, high-availability, zero-downtime-tolerance environment Zero-trust architecture: BeyondCorp, Zscaler, or equivalent; conditional access policy design and implementation DDoS mitigation, BGP security, and network resilience engineering for latency-sensitive financial infrastructure ISO 27001, SOC 2, DORA, or equivalent - hands-on implementation, not just audit participation Red team, adversarial simulation, or penetration testing programme design - experience on both sides of the exerciseWhat We're Looking For You are a builder first and a security engineer second - meaning you solve security problems by engineering better systems, not by writing longer policies. You find the gap before an attacker does because you have thought about how you would exploit the environment yourself. A security incident is not just a technical failure - it is a business one. You bring hands-on capability, genuine innovation, and the rigour to make this organisation measurably more secure every quarter. security incident is not just a technical failure - it is a business one. You bring hands-on capability, genuine innovation, and the rigour to make this organisation measurably more secure every quarter. To find out more about Huxley, please visit Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC(phone number removed) England and Wales

Senior DevOps Engineer - Azure Cloud Hybrid (Derby) - £75,000pa to £85,000pa + Highly Competitive Package We're supporting a national healthcare technology organisation looking for a hands-on Senior DevOps Engineer to join a growing Cloud & Platform Engineering function. This is a delivery-focused role where you'll work directly on pipelines, automation, containerisation and secure cloud deployments, with real ownership across day-to-day engineering tasks. This isn't an architectural or purely governance-led position - it's ideal for someone who enjoys building, improving and running modern DevSecOps tooling in an evolving Azure environment. What you'll be doing: Build, improve and support CI/CD pipelines across Azure DevOps Implement IaC using Terraform/Bicep and contribute to module standardisation Work with Azure container services (Container Apps, ACI, AKS where relevant) Configure and maintain scanning, secrets management, policy enforcement and pipeline controls Build secure network patterns including private endpoints, VNets and hybrid connectivity Contribute to platform hardening, patching, and DevSecOps practices Troubleshoot across identity, networking, containers, and pipeline execution Collaborate closely with cloud engineers and the wider delivery teams What we're looking for: Strong recent hands-on DevOps engineering experience Solid Azure background (AWS awareness useful but not essential) Practical containerisation experience (Docker, AKS/ACA/ACI) Proven Terraform experience (authoring modules, reusable patterns, IaC pipelines) Confident with CI/CD delivery and pipeline optimisation Understanding of private endpoints, networking fundamentals and cloud-native patterns Someone hungry to grow, learn and evolve into broader responsibilities over time Why this role: A modernising environment with room to influence engineering standards Azure-first direction (with some AWS expected to retire within 12-18 months) Opportunity to help shape DevSecOps maturity Work closely with a high-calibre contractor team while building permanent capability Owned, impactful work in a national healthcare organisation If you're a strong, hands-on Azure DevOps Engineer looking for a role with impact, ownership and modern engineering challenges, we'd love to talk. Call John McManus at Experis IT on 0121 712 8715 for more information TPBN1_UKTJ

Your new company Working for a globally renowned financial organisation Your new role We are seeking 2x Senior Software Engineer / Data Platform Engineer's to support the ongoing evolution of a large‑scale financial data platform. Our environment combines long‑established enterprise systems and legacy components with modern cloud‑based services running on AWS. The platform processes high‑volume structured data and underpins both internal systems and customer‑facing products. A substantial portion of the platform is built on large SQL Server data estates, so strong SQL Server expertise is essential. The successful candidate will play a key role in modernising core systems, improving performance and reliability, and delivering scalable services for the next generation of the platform. This role is ideal for engineers who can work confidently across both legacy and modern architectures, and who have deep experience designing and building robust APIs and data services. What you'll need to succeed Deep SQL Server development/ optimisation experience. Strong AWS knowledge (Lambda, Amazon S3, API Gateway). Experience working in environments with legacy estates/ servers. Experienced with programming languages such as Python or C#. Background in financial services or data‑heavy platforms with experience with legacy/ modern platforms. Solid mathematical or quantitative background would be beneficial for analytics‑focused work. What you'll get in return Flexible working options available. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

About Us We are a leading gaming and gambling solution software provider with a strong presence in the USA, UK, and Europe. Through partnerships with global gaming companies, we build cutting-edge technical platforms across sportsbooks, lottery, casino, virtual gaming, and financial trading. Our vision is to shape the future of gaming by transforming operations into intelligent, data-driven solutions that deliver exceptional customer experiences and create sustainable value for all stakeholders. We believe in teamwork, knowledge sharing, and transparency with accountability. The Role Were looking for a Site Reliability Engineer (SRE) to help shape and drive how we build and operate reliable, observable, and cost-efficient systems. Youll work closely with development, platform, and incident management teams to define what reliable means in measurable terms and build the tooling and processes to achieve it. Your work will directly influence the speed, stability, and scalability of our platform. Key Responsibilities Partner with development teams to define and manage SLOs/SLIs, and use error budgets to guide engineering decisions. Enhance observability ensuring metrics, logs, and tracing are in place to detect and fix issues proactively. Lead cost optimisation initiatives: monitor spend, rightsize workloads, tune autoscaling, and drive efficient infrastructure usage. Strengthen production readiness with pre-deployment checks, post-release validation, and robust platform guardrails. Introduce and run chaos engineering experiments to improve system resilience. Automate operational processes to reduce manual intervention across the stack. Contribute to major incident response, providing engineering expertise. Collaborate cross-functionally to raise the bar on platform stability, security, and performance. Required Skills & Experience 3+ years in SRE, Platform, or DevOps roles. Strong operational experience with Kubernetes (on-prem and AWS EKS). Proven track record defining and working with SLOs/SLIs in production environments. Deep understanding of observability (metrics, logging, tracing, telemetry TPBN1_UKTJ

Your new company Working for a globally renowned financial organisation Your new role We are seeking 2x Senior Software Engineer / Data Platform Engineer's to support the ongoing evolution of a large‑scale financial data platform. Our environment combines long‑established enterprise systems and legacy components with modern cloud‑based services running on AWS. The platform processes high‑volume structured data and underpins both internal systems and customer‑facing products. A substantial portion of the platform is built on large SQL Server data estates, so strong SQL expertise is essential. The successful candidate will play a key role in modernising core systems, improving performance and reliability, and delivering scalable services for the next generation of the platform. This role is ideal for engineers who can work confidently across both legacy and modern architectures, and who have deep experience designing and building robust APIs and data services. What you'll need to succeed Great SQL Server development/ optimisation experience. Strong AWS knowledge (Lambda, Amazon S3, API Gateway). Experience working in environments with legacy estates/ servers. Experienced with programming languages such as Python or C#. Background in financial services or data‑heavy platforms with experience with legacy/ modern platforms. Solid mathematical or quantitative background would be beneficial for analytics‑focused work. What you'll get in return Flexible working options available. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

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AWS Data Engineer | London (Once a month onsite) | £65,000-£80,000. This is a hands-on role where you’ll enhance and evolve an AWS-based data ecosystem, supporting analytics and reporting across teams including Product, Finance, and Operations. Build and maintain data pipelines and visualisation