160 jobs found

Graduate Network Engineer Hybrid role - 2 days per week on site, 3 days WFH This is an exciting opportunity for a recent Computer Networking graduate to begin a career with a leading Managed Services Provider (MSP) that delivers Cloud, Connectivity, Unified Communications, and Collaboration services to enterprise-scale organisations and household-name clients. The company has grown rapidly through both acquisition and organic expansion, and they are now looking for a motivated graduate with a strong interest in networking and IT infrastructure to join their Network Support team. As part of an experienced and collaborative technical team, you will gain hands-on exposure to real-world networking environments, troubleshooting issues and developing a broad technical skill set. This is an excellent platform for career progression, with structured training and opportunities to advance into specialist roles. Key Responsibilities: Provide high-quality IT and network support to clients, ensuring service levels are met Troubleshoot and resolve incidents, escalating where required Maintain and update internal technical documentation Continuously build your knowledge across networking, cloud services, and IT systems Work closely with senior engineers to gain mentorship and experience in enterprise environments Requirements: A degree in Computer Networking, Network Engineering, or hold a relevant certification (CompTIA etc.) A basic knowledge/interest of Cisco networking fundamentals (routers, switches, firewalls) Strong communication skills and a passion for developing a technical career Salary & Benefits 30,000 - 36,000 DOE (inclusive of shift alowance) Hybrid working (2 days onsite, 3 days WFH) plus excellent benefits and a clear pathways for career progression into senior engineering and specialist roles Working Hours: Mon-Thu 9am-5:30pm, Fri 9am-3:30pm Alternative shift option: 2 days, 2 nights, 4 days off (7am-7pm / 7pm-7am), with 1 day per week onsite (rest WFH) plus 20% shift allowance.

A developer of optical network systems is now looking for a Systems Optimisation Engineer to develop intelligent test frameworks and optimisation algorithms for optical network system. This cross-disciplinary role blends software engineering, algorithm development, and hardware test integration to reduce test time, improve throughput, and enhance performance analysis. Joining the Optical Network Integration Team, you will collaborate closely with hardware test engineers to refine burst-mode test strategies, optimise equalisation parameters, and accelerate product evaluation from R&D through production. Experience and Qualifications: We are looking for a strong proficiency in software development for test automation (Python, C++, or C#). Experience with metaheuristic optimisation (e.g., GA, simulated annealing, particle swarm). Experience with AI/ML techniques (e.g., reinforcement learning, predictive modelling) for test optimisation. You should have a collaborative mindset to work closely with hardware engineers and manufacturing teams. A familiarity with production test time optimisation in semiconductor or optical device environments, is also required to succeed in this role. Exposure to cloud-based data pipelines for large-scale test data processing. As the successful Systems Optimisation Engineer, you should have achieved a Degree in Computer Science, Electrical/Electronic Engineering, Applied Mathematics, or related field. Additional Information: Candidates MUST be eligible to work and live in the UK. Copies of Visa and Passport will be requested. Salary / Benefits: In addition to a Competitive Salary, my client offers a range of Benefits including Hybrid and Flexible Working, Stock Options, 25 days holiday, and relocation assistance. Skills: . Optimisation, Algorithm, Optical Networks, Software, Hardware, Test, Computer Science, Electronic Engineering, Applied Mathematics. To Apply Direct: Please send CV to Iona Mulligan

IT Infrastructure Engineer Mostly in-office working in Whiteley, Hampshire Stratospherec are proud to be working with a fantastic UK SaaS Fintech company whose IT systems are revolutionising the UK finance, retail and commerce industries. Due to their sustained and continued growth they are looking to expand their IT Infrastructure team by hiring an Infrastructure Engineer with a strong Wintel and IT Infrastructure background. They have a number of large IT projects for the next 24 months including automating their IT Infrastructure deployments so they are looking for an experienced IT Engineer who has an interest in automation as well - no previous automation experience necessary. This role will mainly focused to in new IT project work, with some limited BAU work as well. They are looking for an Infrastructure Engineer with an interest in using automation tools to streamline infrastructure deployment, management and monitoring, combined with a background in administering and building new IT infrastructures and improvements in IT systems from previous projects is going to be vital for this role. Any background in Datacentre relocation or migration would be useful as well in this role Role Responsibilities: Infrastructure: Maintain and enhance IT infrastructure, including VMware ESXi, Microsoft Windows Server environments, and Network Monitoring and networking components. There is some minimal work supporting AWS/Linux server infrastructure as well. Ensure system reliability, scalability, and performance through proactive monitoring and automation. Maintain and improve local network environments, including Dell servers and Dell switch configurations. Strong technical expertise in Microsoft Active Directory (AD), Windows Server environments, and authentication solutions. Plan for scalability, redundancy, and high availability to support future growth. IT Security & Compliance: Ensure compliance with security and regulatory standards, including PCI DSS, Cyber Essentials+, DORA, and ISO 27001. Implement and enforce security best practices across infrastructure automation and cloud environments. Maintain accurate compliance documentation, including PCI DSS scope records and security policies. Secure high-value and high-risk data, such as cardholder (PCI) and personally identifiable information (PII). Cloud & Automation (these tools and skills will be taught): Implement and manage Infrastructure as Code (IaC) for cloud and on-premises environments. Learn how to automate configuration management, infrastructure provisioning, and application deployment. Configure and maintain authentication solutions (SSO, SAML, Entra Connect). Develop and manage automation solutions to streamline infrastructure deployment, management, and monitoring. Implement and optimize automation tools such as Azure DevOps (or other CI/CD pipelines), Terraform, Node-Red, and Packer. Deploy and manage monitoring tools (Zabbix, SolarWinds SentryOne, and other network/database monitoring solutions). Ensure secure cloud infrastructure management across Azure and AWS environments. Experience & Skills: It will be useful to have some of the following skills and experience: Strong expertise in defining, delivering, and supporting robust, resilient, and secure enterprise infrastructure. Experience with IT audits and compliance frameworks such as CIS, PCI DSS, Cyber Essentials, NIST, ISO 27001. An understanding of network security and compliance in regulated environments. Strong networking knowledge (LAN, WAN, DNS, DHCP, VPN, TCP/IP). Proficiency in firewall and load balancer technologies for secure environments. Hands-on experience with virtualization platforms (VMware, Citrix Xen) and backup solutions (Veeam or similar). Experience with monitoring tools (SolarWinds SentryOne, Zabbix etc.). Excellent problem-solving, communication, and documentation skills. Some familiarity with financial services regulations and compliance (PCI DSS, GDPR, DORA) would be useful but is not essential. Desirable (but not required) experience: Some interest in learning and using automation tools such as Azure DevOps, Terraform, Node-Red, Packer. Proven ability to secure high-value data (PCI cardholder data, PII) and implement security best practices. Scripting and automation skills (PowerShell, Python, Bash, or similar). Ability to design, implement, and maintain CI/CD pipelines for infrastructure automation. Some experience managing cloud environments (Azure, AWS). This is an exciting new role for a growing IT Infrastructure team, within a successful and growing SaaS company, so if you are looking for an exciting challenging IT Systems and automation role, then please apply with your CV for immediate interview. Please note we can only consider local candidates and with full UK Passports or settled status visas or indefinite leave to remain visas

AI Engineer - Defence RAG Systems ( Security Clearance Essential ) On Site 2 X Days a week Plymouth Clearance: Active SC Essential Sector: Defence Role Overview Defence client requires an SC Cleared AI Engineer to build fully on-premises RAG systems using open-source technologies. You'll develop classified AI capabilities on air-gapped infrastructure with zero external dependencies. Key Responsibilities - Build end-to-end RAG pipelines on isolated defence networks using open-source LLMs (Llama 3, Mistral, Qwen) - Deploy local vector stores (Chroma, FAISS, Milvus) with sensitive document ingestion pipelines - Host and optimise LLMs using vLLM/TGI on local GPU clusters without internet connectivity - Implement agent orchestration using LangChain/LangGraph in completely offline environments - Design secure document processing for classified materials with appropriate data sanitisation - Build monitoring and evaluation systems that operate within air-gapped infrastructure Essential Requirements - Active SC Clearance (non-negotiable) - willingness to undergo DV if required - Demonstrable experience deploying open-source LLMs (Llama, Mistral, Falcon) on-premises - Expertise with local vector databases (Chroma, FAISS, Weaviate) in offline deployments - Strong vLLM/Text Generation Inference experience for high-throughput model serving - Proven ability to work on air-gapped systems with no external package repositories - Experience with GPU orchestration (NVIDIA A100/H100) and CUDA optimisation - Python expertise with offline dependency management and local package mirrors Technical Stack (All On-Premises) Models: Llama 3, Mistral, Qwen (locally hosted) Vector Stores: Chroma, FAISS, Milvus Orchestration: LangChain, LangGraph for agents Hosting: vLLM, TGI, Ollama on bare metal/private cloud Infrastructure: Air-gapped Kubernetes, local container registries Desirable Skills - Experience with defence/government IT security protocols - Knowledge of CIS benchmarks and NCSC guidelines - Familiarity with cross-domain solutions and data diodes - Understanding of classification marking and handling procedures

IT Network Technician - Up to 35,000 I am currently seeking a IT Network Technician to be based fully on-site in the cornwall area. The right IT Network Technician will be part of the IT team in a school and will have skills in general IT support while also having excellent networking skills aswell. Benefits include: Salary up to 32,000 LGPS Pension 20 days leave + bank holiday An extra day off after prolonged service Shirter days on Friday Key Responsibilities: ServiceDesk Management Cloud migration & Development Networking VLan management Technical Support Documntation Training Sessions Project Work VoiP Telephony Systems CCTV Systems Cabling & Switches Hardware & Software Mobile management PrintersManage network security Skills & Experience: Experience in a school environment Net work infrastructure Proficient in a range of systems and applications, including server virtualisation, security, cloud technologies, and wired/wireless networks (mainly Microsoft-based) Active Directory Group Policies (on-prem) Microsoft 365 Azure AD Intune Autopilot Different OS Environents Backup solutions of disaster recovery This is a fantastic opportunity and the job ends soon so apply now and don't miss out! If you are interested in this position please click 'apply'. Hunter Selection Limited is a recruitment consultancy with offices UK wide, specialising in permanent & contract roles within Engineering & Manufacturing, IT & Digital, Science & Technology and Service & Sales sectors. Please note as we receive a high level of applications we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.

My Financial Services client is seeking to recruit a AI Engineer on an initial 6 month contract based in London. It is hybrid and will require 3x days onsite per week. As a Back-End AI Engineer, you will design and deploy secure, scalable AI services that power next-generation use cases across client intelligence, document processing, and risk management. You'll work in a greenfield environment, building compliant AI pipelines using Gemini (GCP), Azure OpenAI or Self Hosting embedding security and privacy controls from experimentation to production, in alignment with the bank's cybersecurity and regulatory standards. Accountabilities & Responsibilities Architect and implement secure AI services from lab to production, ensuring scalability and compliance Develop robust APIs for LLMs, RAG pipelines, agentic workflows and document intelligence systems Embed cybersecurity and data privacy controls across all AI workflows (e.g., encryption, anonymisation, access logging) Collaborate with the CISO function on threat modeling, security reviews, and AI-specific control design. Integrate with enterprise IAM systems, enforcing RBAC, least privilege Conduct vulnerability scans, pen-test remediation, and support internal and regulatory audits (FCA, PRA) Required Knowledge & Experience Delivered greenfield AI systems in production with secure-by-design architecture Designed and managed AI lab environments using IaC, containerisation, and secure networking practices Hands-on experience with LLM implementation, including fine-tuning, prompt engineering, and secure deployment Built agentic workflows using modular LLM agents with memory, planning, and tool integration Implemented Model Context Protocol (MCP) to manage secure, auditable context injection across agentic systems Experience building RAG pipelines with strict data governance and contextual integrity Familiarity with EU AI Act, FCA cybersecurity principles, and oversight of critical systems Worked directly with cybersecurity and compliance teams in regulated deployments Implemented or maintained controls under ISO 27001, NIST, or SOC2 frameworks Technical Skills & Technologies: Languages & Frameworks Python (FastAPI), LangChain, Google AI SDK, Azure Open AI SDK Cloud & AI Platforms GCP: Vertex AI, Gemini API, Cloud Run, GCS, IAM, Secret Manager, Audit Logs Azure: Azure ML, Azure OpenAI, Key Vault, Azure Policy Experience with Self Hosting LLM Fine-tuning and prompt engineering for LLMs (e.g., GPT, Gemini, Claude) Secure deployment of LLMs via APIs with input/output filtering and logging Integration of LLMs into RAG pipelines, document intelligence, and agentic workflows Use of vector databases (e.g., FAISS, Pinecone, Chroma) for semantic search and retrieval Implementation of grounding, context injection, and response validation mechanisms Model Context Protocol (MCP) Implement secure, policy-aligned Model Context Protocol (MCP) for managing contextual memory, grounding, and session control in LLM-based systems Enforce context boundary policies, context versioning, and traceability to support auditability and prevent data leakage Integrate MCP with enterprise IAM and data governance frameworks to ensure compliant context injection and revocation Agentic Workflows Design and orchestrate agentic AI workflows using modular, goal-driven agents with memory, planning, and tool-use capabilities Implement secure agent execution environments with task decomposition, tool chaining, and feedback loops Integrate agents with enterprise systems (e.g., document stores, APIs, risk engines) while enforcing contextual integrity, rate limiting, and audit logging Apply agentic patterns to automate complex financial tasks such as client onboarding, document summarisation, and risk signal extraction Security Tooling Static code analysis (Bandit, SonarQube) Secrets scanning, encryption (at rest/in-transit), token management Identity integration (Google Identity, Azure Entra ID) Data Security & Governance RAG pipelines with data classification, masking, and DLP GDPR and data residency compliance MLOps & DevSecOps GitHub Actions, CI/CD security testing, model drift detection, audit logging Lab Environment Tooling Infrastructure-as-Code (IaC): Terraform, Pulumi Containerization & Orchestration: Docker, Kubernetes (GKE/AKS) Networking & Isolation: VPCs, private endpoints, firewall rules, network policies Data Sandboxing: Synthetic datasets, masking, DLP tooling Monitoring & Observability: Prometheus, Grafana, Cloud Logging

Job Description: DevOps Engineer (AWS) - 4 Roles Available 3-Month Contract | Public Sector Hybrid Working - Manchester, Birmingham, Leeds, Blackpool £450 per day | Inside IR35 Active SC Clearance - Essential (applications without clearance cannot be considered) Our public sector client is looking to hire four experienced DevOps Engineers to join their team and help shape the future of their cloud platform. This is an excellent opportunity for SC Cleared engineers with strong AWS expertise to contribute to high-profile, secure projects. Responsibilities Design and deploy secure, scalable infrastructure in an AWS environment. Automate processes, including CI/CD pipelines, monitoring, and infrastructure provisioning. Work closely with developers and engineers to streamline deployments and workflows. Manage and optimise AWS services. Champion Infrastructure as Code (IaC), observability, and DevSecOps best practices. Experience and Skills Required Active SC Clearance - mandatory requirement. Proven experience with AWS services in production environments. Strong hands-on skills with Terraform and other IaC tools. Deep understanding of DevOps culture, CI/CD pipelines, and automation. Container technologies (Docker essential, Kubernetes desirable). Knowledge of cloud security, networking, and performance tuning. Passion for collaboration, clean code, and continuous learning. Next Steps If you hold active SC Clearance and are interested in one of these four opportunities, please apply with your up-to-date CV. Suitable candidates will be contacted as soon as possible. £450.00/day Talent International UK and it's subsidiaries, Digital Gurus, Infinite Talent and Rethink act as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this opportunity, you accept the TandC's, Privacy Policy and Disclaimers which can be found on our website

Senior AWS Platform Engineer - Perm Largely remote with occasional visits onsite - London £100000 PA + Benefits Due to the nature of this role, we need candidates to be eligible or have an active SC - Security Clearance Role Overview: Digital Skills is on the hunt for a highly skilled Senior Platform Engineer who can make and lead decisions in delivering secure, scalable, and dynamic cloud platforms from scratch. You will work with skilled engineers and have opportunities to collaborate with AWS, delivering cutting-edge technology to the public sector. Key Responsibilities Guide the architecture and evolution of AWS platforms at scale, leveraging AWS Organisations , AWS Landing Zones , and multi-account best practices. Innovate with AWS Networking, KMS, IAM, and container orchestration (Kubernetes, ECS). Develop and maintain Infrastructure as Code solutions using Terraform, CloudFormation, and AWS CDK. Champion security, compliance, and observability by integrating services like AWS Security Hub, GuardDuty, and Inspector. Design CI/CD pipelines to enable seamless deployments and self-service models for customers. Required Skills: 5+ years of hands-on experience designing and managing AWS cloud infrastructure. Deep expertise in multi-tenanted platform architectures and multi-account AWS setups. Proficiency in Python, Go, or similar languages for automation and Scripting. Expert-level knowledge of AWS Networking, TLS, and security best practices. Experience with container orchestration (Kubernetes, EKS) and observability tools (Grafana, ELK). A passion for innovation, problem-solving, and delivering high-impact solutions. Why this role: Work on AWS Landing Zone Accelerator (LZA) solutions at a massive scale and play a key role in shaping best practices, standards and the architecture. Work on large-scale, cutting-edge AWS architectures that push the limits of scalability, security, and innovation, ensuring every day presents a new technical challenge. Engage with a team of experts to tackle complex problems in highly regulated environments, where innovative solutions make a tangible impact. If this is the right role for you and you have the skills, then please apply.

Job Title: Cloud Engineer Location: Malvern Employment Type: Contract Salary Range: Up to 600 per day via an approved umbrella company Role Overview We are seeking a skilled and proactive Cloud Engineer to design, develop, and manage cloud-based infrastructure, applications, and services using Infrastructure as Code (IaC). The successful candidate will collaborate closely with engineering and assurance teams to ensure solutions align with compliance and security requirements. Key Responsibilities Design, develop, and deploy AWS cloud infrastructure and services to support system delivery and operations. Deliver outputs including: Technical presentations and documentation Test plans and reports User guides and work instructions Design and process documents Infrastructure/software builds System installation and integration CI/CD pipelines Lead or contribute to documentation and testing activities. Promote best practices, mentor colleagues, and drive continuous improvement initiatives. Actively participate in Agile development processes, including SAFe practices (training provided if needed). Support security, safety, and compliance activities, integrating derived requirements into design evolution. Contribute to estimation and change control processes. Essential Skills & Experience Cloud Expertise: Proficiency in AWS and a broad range of cloud services. Containers & Orchestration: Experience with Docker, Kubernetes, EKS, and Helm Charts. Automation & CI/CD: Strong scripting skills (e.g., Ansible). Experience with CI/CD pipeline implementation. Infrastructure as Code (IaC): Advanced use of IaC tools and best practices. Ability to design and implement complex infrastructure. Security: Knowledge of cloud security best practices. Familiarity with Identity and Access Management (IAM). Troubleshooting: Strong debugging and incident response capabilities. Agile Methodology: Experience working in Agile environments. Documentation: Ability to produce high-quality technical documentation. Version Control: Proficiency with Git. Desirable Skills Web hosting, networking, IT security, virtual applications/desktops. Certifications such as: AWS Certified Solutions Architect - Associate Microsoft Certified: Azure Administrator Experience mentoring junior team members. Familiarity with GitLab. If this is the role for you please submit your cv at your earliest convenience.

Infrastructure / Senior Support engineer We are seeking a dedicated and knowledgeable Infrastructure Engineer to join our dynamic team. The ideal candidate will provide exceptional technical support and troubleshooting for our clients, ensuring seamless operation of their IT systems. This role requires a strong understanding of computer networking, desktop support, and various technical tools to effectively resolve issues and enhance user experience. My leading client is seeking a bright technical individual to join a tight knit technical team. You will be based in Exeter providing IT Support to users as well as being instrumental in numerous IT projects orientated around the MS / Cloud technologies General daily duties are based around AD / 365 / Server / VMware / Security admin as well as dealing with multiple technical projects. This is an excellent opportunity for a strong technical support engineer to develop their skills and career further. You must be able to drive and be able to work on site in Exeter. You: You will be a proficient 2nd or 3rd line engineer with the want to build on your AD, 365, Azure, Security, Wan, Lan general IT Support knowledge. You will be skilled to work in a highly technical and professional environment where you will be supported and rewarded for your efforts and commitment. You MUST possesses excellent communication skills and possess the right to work in the UK and be willing to pass security check Please contact us with CV for further information ASAP

Role Title: Security Engineer Start Date: ASAP End Date: 31st Mar 2026 Location: South of Manchester or Glasgow - 3 days on site per week Rate: 600 per day - PAYE via Umbrella Only Role Overview: We are seeking a highly capable Security Engineer to join a focused team developing a telemetry pipeline MVP. This role requires deep technical expertise in containerised environments, observability tooling, and secure infrastructure design. The ideal candidate will ensure that security is embedded across the pipeline architecture, from deployment to data flow, while collaborating closely with DevOps and development teams. Key Responsibilities: Design and implement security controls across containerised environments using Kubernetes and OpenShift Ensure secure configuration and access management within GitLab version control and CI/CD pipelines Integrate and secure telemetry tools including Cribl, Elastic, Splunk, Fluentd, and Syslog Conduct threat modelling, vulnerability assessments, and risk analysis for the telemetry pipeline Collaborate with DevOps engineers to embed security into infrastructure-as-code and deployment workflows Monitor and respond to security events and alerts from observability platforms Maintain documentation of security architecture, policies, and incident response procedures Required Skills & Experience: Strong hands-on experience with Kubernetes and OpenShift in secure production environments Proficiency in GitLab and secure CI/CD pipeline practices Familiarity with telemetry and logging tools: Cribl, Elastic, Splunk, Fluentd, and Syslog Deep understanding of networking protocols, firewalls, VPNs, and security principles Experience with security frameworks (e.g., NIST, ISO 27001) and compliance requirements Knowledge of container security tools (e.g., Aqua, Twistlock, Trivy) and vulnerability scanners Excellent analytical and communication skills Preferred Qualifications: Certifications such as CISSP, CISM, CKS (Certified Kubernetes Security Specialist), or equivalent Experience in building MVPs or working in startup-like environments Familiarity with cloud security (AWS, Azure, GCP)

Opus are working with a key client on a 2nd/3rd line engineer requirement. The initial contract is 12 months and will be inside IR35, paid via our PAYE payroll. The role will be 2 days on-site in Exeter, the rest can be worked remotely. Essential At least 3 years Experience as 2nd/3rd line engineer Hands-on experience with firewall rules, access controls, and routing Ability to conduct technical analysis and produce clear documentation Desirable Experience with legacy infrastructure and operational technology (OT) Understanding of asset management and BAU handover processes Awareness of Zero Trust principles and NIST frameworks Exposure to cloud networking (Azure, AWS, GCP)

Firmware Engineer Our client is a leader in monitoring IoT technology, developing innovative critical resource monitoring solutions. Exceptional software is at the core of their customers innovations. About the Role We are seeking a developer/software engineer to help deliver the company's digital product strategy. You will take ownership of a key part of the digital product portfolio, working closely with the Head of Digital to shape its future. This role requires strong software engineering expertise, an understanding of system design and the ability to solve complex problems collaboratively. Key Responsibilities Collaboration: Work with Tech-Leads, and stakeholders to define and prioritize product features, ensuring technical implementation meets business needs. System Improvements: Identify opportunities to enhance system reliability, simplicity, and maintainability, recommending tech stack updates where needed. Innovation: Stay informed of industry trends and emerging technologies, evaluating their potential impact on the product portfolio. Risk Mitigation: Identify and address technical risks and develop strategies to manage technical debt. Culture Building: Foster a culture of innovation, experimentation, and continuous learning. Cross-team Contributions: Participate in architecture discussions and support wider software development initiatives. User Support: Provide responsive support for urgent issues affecting system users. Role Requirements Technical Skills Core Requirements: 3+ years of experience in software development. Proficiency in Linux/Unix and Windows environments. Familiarity with cloud services, especially Azure. Strong knowledge of networking, network security, and IT security. Understanding of best practices for always-on, always-available services. Open-mindedness and a willingness to learn new technologies as needed. Technical Expertise by Team Focus Embedded & Data Platform Team: Expertise in C and C++ development. Firmware development experience for Embedded and IoT devices. API development experience. Strong understanding of computer architecture, operating systems, and device drivers. Proficiency in debugging firmware for microcontrollers and SoCs. Familiarity with IoT protocols (eg, MQTT). Strong knowledge of communication protocols (TCP/IP, I2C, MODBUS, SDI12, etc.). Understanding of device management and security protocols (eg, TLS, DTLS).

Lynx Recruitment is currently partnered with an Award-Winning Tech Consultancy who work in the Security and Defence sector and operate on a hybrid basis of once a week on site in Bristol. This is a permanent position for an Oracle Cloud/Infrastructure Engineer offering salaries ranging between £50,000 - £75,000 + bonus and benefits For this Oracle Cloud/Infrastructure Engineer role, the ideal candidate will have the below: - Strong knowledge of OCI services (Compute, Storage, Networking, Load Balancers) - Experience with VCNs, security lists, IAM policies, VPNs, and WAF; Understanding of compliance - Strong communication skills - Degree educated in an IT or Business-Related field Please apply with your latest CV to be considered

Role: Full Stack Software Engineer (UK-based, early-stage startup) £60,000 - £80,000 per annum | No Sponsorship | x3 week in office Backed by technology start up accelerator and VC Join a mission-driven AI startup transforming how medical and healthcare organisations collaborate. Using machine learning and advanced recommendation systems, the team helps to matchmake some of the leading Medical and Pharmaceutical businesses with their extensive network of professionals. This allows them to engage seamlessly all while reducing operational costs so resources can focus on changing lives. This is the chance to work on cutting-edge AI technology at an early stage with real influence on product and architecture to help medical organisations do more with their resources while changing lives and impact clients across the US and FTSE markets. As a Full Stack Software Engineer, you'll work across Back End systems, DevOps pipelines, data engineering, and AI projects, touching multiple products and directly influencing how value is delivered to users. You'll have enormous amount of autonomy and project ownership working in a fast paced start up environment. Responsibilities Own Product-Facing AI Solutions: Build and enhance AI-driven features within our product. Develop ML Models: Collaborate on research, training, optimization, and deployment of ML models across the platform. Design & Develop Scalable Systems: Contribute to Back End and full-stack development, focusing on robust APIs and efficient data flows. Database Management: Work with SQL and NoSQL systems (Postgres, Elasticsearch, MongoDB) to design, optimize, and maintain data storage. DevOps & Infrastructure: Build and maintain CI/CD pipelines, streamline deployments, and ensure scalable and reliable infrastructure. Data Engineering: Design and execute pipelines to support analytics and product enhancements. What We're Looking For Product Mindset: Engineers who focus on delivering solutions that genuinely improve user experience. Ownership: Ability to take projects from ideation to launch, navigating ambiguity with creative solutions. Curiosity: A drive to continuously learn-whether about customer problems, technical innovations, or domain knowledge. Drive & Agility: Comfortable in a fast-moving, early-stage environment where speed, iteration, and thoughtful architecture are all essential. Must-Haves 3+ years of professional software engineering experience (Back End, DevOps, or full stack). Proficiency in Python, with experience building ML-oriented solutions. Strong problem-solving and communication skills. Hands-on DevOps experience (CI/CD, version control). Familiarity with cloud infrastructure platforms, ideally Azure. Strong SQL & NoSQL experience (Elasticsearch, MongoDB, Postgres). Right to Work in the UK - must already be UK-based with valid work authorization. In the office at least 3 days a week. The client cannot offer sponsorship. For more information please share your CV with me directly.

Firmware Engineer Our client is a leader in monitoring IoT technology, developing innovative critical resource monitoring solutions. Exceptional software is at the core of their customers innovations. About the Role We are seeking a developer/ software engineer to help deliver the company's digital product strategy. You will take ownership of a key part of the digital product portfolio, working closely with the Head of Digital to shape its future. This role requires strong software engineering expertise, an understanding of system design and the ability to solve complex problems collaboratively. Key Responsibilities Collaboration: Work with Tech-Leads, and stakeholders to define and prioritize product features, ensuring technical implementation meets business needs. System Improvements: Identify opportunities to enhance system reliability, simplicity, and maintainability, recommending tech stack updates where needed. Innovation: Stay informed of industry trends and emerging technologies, evaluating their potential impact on the product portfolio. Risk Mitigation: Identify and address technical risks and develop strategies to manage technical debt. Culture Building: Foster a culture of innovation, experimentation, and continuous learning. Cross-team Contributions: Participate in architecture discussions and support wider software development initiatives. User Support: Provide responsive support for urgent issues affecting system users. Role Requirements Technical Skills Core Requirements: 3+ years of experience in software development. Proficiency in Linux/Unix and Windows environments. Familiarity with cloud services, especially Azure. Strong knowledge of networking, network security, and IT security. Understanding of best practices for always-on, always-available services. Open-mindedness and a willingness to learn new technologies as needed. Technical Expertise by Team Focus Embedded & Data Platform Team: Expertise in C and C++ development. Firmware development experience for embedded and IoT devices. API development experience. Strong understanding of computer architecture, operating systems, and device drivers. Proficiency in debugging firmware for microcontrollers and SoCs. Familiarity with IoT protocols (e.g., MQTT). Strong knowledge of communication protocols (TCP/IP, I2C, MODBUS, SDI12, etc.). Understanding of device management and security protocols (e.g., TLS, DTLS).