309 jobs found

UNIX Engineer Location: Barrow-in-Furness (On-site) Security Clearance: SC Cleared or Eligible to Obtain SC Employment Type: Contract Inside IR35 Damia Group is a specialist technology recruitment partner, supporting the delivery of critical programmes across the Defence, Government and National Security sectors. We are currently seeking an experienced UNIX Engineer to join a high-profile programme supporting complex enterprise infrastructure within a secure environment. This is an excellent opportunity to work on large-scale, business-critical UNIX platforms, contributing to infrastructure resilience, system modernisation and ongoing operational support. The Role As a UNIX Engineer, you will play a key role in the administration, support and enhancement of enterprise Oracle Solaris environments. You'll work alongside infrastructure specialists to deliver resilient, secure and high-performing UNIX platforms supporting mission-critical services. Key Responsibilities Administer, support and maintain Oracle Solaris environments across enterprise infrastructure. Configure and manage Logical Domains (LDOMs) on Oracle T-Series hardware. Deliver UNIX migration and upgrade projects with minimal service disruption. Design, implement and support high-availability clustering solutions. Monitor system performance and proactively resolve complex technical issues. Work closely with infrastructure, application and project teams to deliver integrated solutions. Ensure systems remain compliant with security standards and operational best practices. Produce and maintain technical documentation where required. Essential Skills & Experience Strong commercial experience administering Oracle Solaris environments. Hands-on expertise with LDOM (Logical Domains) configuration and management. Experience supporting Oracle T-Series servers (T5, T7 and T8). Proven background delivering UNIX migration and upgrade projects. Experience implementing and supporting resilient cluster technologies. Solid understanding of UNIX networking, storage and security. Strong troubleshooting and problem-solving skills within enterprise environments. Desirable Skills Oracle Solaris certifications or equivalent UNIX qualifications. Experience working within large-scale enterprise or government environments. Automation and scripting experience using Shell, Python or similar technologies. Knowledge of infrastructure automation and system optimisation. Security Requirements Due to the nature of this programme, applicants must: Hold, or be eligible to obtain, SC Security Clearance. Be a sole UK British National (dual nationality cannot be considered). Be comfortable working within highly secure environments handling sensitive information. Location This role requires on-site attendance in Barrow-in-Furness as part of the project delivery, so candidates should be able to commute or relocate as required. 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. JBRP1_UKTJ

Data storage is at the heart of everything we do in life. From every photo to every financial transaction, data is generated and stored somewhere in the world, be it on a customer's own premises or in the cloud. The FlashSystem team at IBM Hursley creates resilient, high-performance and intelligent storage software that keeps business-critical systems and data available 24/7. Our success comes down to one thing: our people. We're hiring and looking for people with a passion to learn and contribute to the success of the FlashSystem products. You will be joining the FlashSystem engineering team as a Graduate Software Developer, where you will develop your software engineering and problem-solving skills while learning new technologies and working with mentors and teams within the Storage organisation. The team has commitment to creating a diverse and inclusive workforce, where different thinking styles are valued for the strength and innovation they bring to teams. IBM FlashSystem delivers high-performance, highly-functional solutions that make hybrid cloud storage simple for every enterprise, from hospitals to data centres. For businesses to improve their levels of insight and accuracy, analytics and AI applications are consuming enormous amounts of data. Managing, moving and storing large data volumes with efficiency and performance requires a modern IT infrastructure with wide-ranging capabilities - from data reduction to enterprise-grade business continuity features such as ransomware detection/recovery and replication. The IBM FlashSystem family of data storage solutions is designed to meet all these needs while reducing costs and complexity. IBM FlashSystem combines the performance of flash and a Non-Volatile Memory Express (NVMe)-optimised architecture with the IBM FlashCore technology and IBM Storage Virtualize software. Your role and responsibilities This role is for a graduate to start in September 2027 only. As a Software Developer: you will design, develop, test, and deliver offerings using leading-edge and/or proven technologies. You will work in an Agile, collaborative environment to understand stakeholder requirements and contribute to the development of innovative software solutions. Your primary responsibilities will include: Develop Software Solutions: Design, code, and test component-level software solutions, ensuring they are unit tested and ready for integration into products. Collaborate with Stakeholders: Work in an Agile environment to understand stakeholder requirements and deliver solutions that meet their needs. Debug Customer Issues: Design, develop, and unit test code fixes for customer-reported problems. Contribute to CI/CD Pipeline: Participate in the development of an automated CI/CD pipeline that takes code through various quality stages. Deliver Offerings: Test and deliver offerings using leading-edge and/or proven technologies. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Passion for software engineering, which can be shown from experience in professional projects, experience from education projects or experience from projects completed in your personal time. Ability to solve problems alone and as part of a team. Effective communication skills to explain technical problems and solutions to other engineers. Innovative solutions to problems. A direct and honest approach. Preferred technical and professional experience Back-End Development Skills: Exposure to designing, developing, testing, and delivering back-end components of software applications using leading-edge and/or proven technologies. DevOps Engineering Knowledge: Familiarity with DevOps engineering practices and tools, contributing to the development of automated CI/CD pipelines. L3 Support Engineering: Exposure to L3 support engineering, debugging customer-reported problems, and designing, developing, and unit testing code fixes. ABOUT BUSINESS UNIT IBM Systems helps IT leaders think differently about their infrastructure. IBM servers and storage are no longer inanimate - they can understand, reason, and learn so our clients can innovate while avoiding IT issues. Our systems power the world's most important industries and our clients are the architects of the future.Join us to help build our leading-edge technology portfoliodesigned for cognitive business and optimized for cloud computing. YOUR In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better. Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background. Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do. Are you ready to be an IBMer? ABOUT IBM IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world. Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world. IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. OTHER RELEVANT JOB DETAILS For additional information about location requirements, please discuss with the recruiter following submission of your application. Job Title Graduate Software Developer Job ID 126911 City / Township / Village Hursley State / Province Hampshire Country United Kingdom Work arrangement Hybrid Area of work Software Engineering Employment type Regular Position type Entry Level Some travel may be required based on business demand Company (8660) IBM United Kingdom Limited Shift General (daytime) Is this role a commissionable/sales incentive based position?

IT Infrastructure Engineer IT Infrastructure Engineer - Belfast (Hybrid) Temporary Opportunity with Potential to Become Permanent 30-40k pa depending on experience VANRATH are delighted to be partnering with a well-established organisation in Belfast to recruit an experienced IT Infrastructure Engineer . This is an excellent opportunity for a skilled infrastructure professional to join a growing IT team, supporting and maintaining critical systems while contributing to a range of exciting technology projects. The successful IT Infrastructure Engineer will play a key role in ensuring the stability, security, and performance of the organisation's IT infrastructure. This position offers exposure to modern technologies, project work, and a hybrid working environment, with the potential to secure a permanent role. The Role As an IT Infrastructure Engineer , you will: Support and maintain server, storage, and infrastructure environments Administer Windows Server environments and core Microsoft technologies Manage Active Directory, Group Policy, DNS, and DHCP Support Microsoft 365 and Azure environments Monitor infrastructure performance and proactively resolve issues Assist with infrastructure upgrades, migrations, and improvement projects Manage virtualised environments using VMware or Hyper-V Support backup, disaster recovery, and business continuity solutions Work closely with Service Desk and wider IT teams to resolve escalated issues Ensure infrastructure security best practices are followed What We're Looking For To be considered for this IT Infrastructure Engineer opportunity, you should have: Previous experience in an Infrastructure Engineer, Systems Administrator, or IT Infrastructure Engineer role Strong experience supporting Windows Server environments Excellent knowledge of: Active Directory Group Policy DNS & DHCP Microsoft 365 Azure Experience with virtualisation technologies such as VMware or Hyper-V Knowledge of backup and recovery solutions Strong troubleshooting and problem-solving skills Excellent communication and stakeholder management abilities Desirable Previous MSP experience Experience with Intune and SCCM Exposure to networking technologies including switches, firewalls, and VPNs Experience with Azure migrations or cloud transformation projects Relevant Microsoft, VMware, or Azure certifications Why Apply Through VANRATH? VANRATH is Northern Ireland's leading specialist recruitment consultancy. With over 25 years of experience, we work closely with some of Northern Ireland's most respected employers and provide candidates with: Access to exclusive opportunities not available elsewhere Specialist IT recruitment expertise Honest career advice and market insight Full interview preparation and feedback Ongoing support throughout the hiring process If you're an experienced IT Infrastructure Engineer seeking your next challenge, we'd love to hear from you. Apply today or contact VANRATH for a confidential discussion.

Infrastructure Engineer Location: Huntingdon, Cambridgeshire Clearance - High - DV At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams in the UK to address some of the most complex problems in defence, government, safety and security, and transportation. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business. UNLEASH YOUR POTENTIAL This sub family is responsible for providing on-site consultation oversight and integration support of existing hardware, software, network configurations and new system initiatives for all sites within area of responsibility. Advises on technical requirements for products and services, support equipment and electronic equipment installations. Provides guidance for the handling, installation and utilization of various systems and equipment. Duties also may include assisting in the development and ensuring adherence to area-wide procedural/policy changes. Your Role and Primary Responsibilities IMPACT: Works independently to achieve day-to-day objectives with significant impact on operational results or project deliverables. Responsible for entire projects or processes within a technical area. Typically responsible for coaching and reviewing the work of lower level technical staff. COMPLEXITY: Develops technical solutions that require collaboration with internal experts, deep analyses and understanding of impact on end-product/solution. Develops solutions to technical problems and issues that are unclear and require deep technical knowledge. COMMUNICATION: Communicates with internal and client project team members. Works to influence team members regarding solution design, process and/or approaches. LEADERSHIP & TALENT MANAGEMENT: KNOWLEDGE: Requires deep understanding of and ability to apply principles, theories, and concepts of technical domain and has broad understanding of other related specialty areas. Basic Qualifications Design build, test and ongoing management of SCCM infrastructure Design build, test and ongoing management of a VDI solution using VMWare Deployment and support experience with Dell server hardware Management and troubleshooting of storage technologies including Dell and NetApp Management and troubleshooting of Active Directory within an on premise environment Development of a customer desktop build with a number of bespoke/legacy applications Packaging of applications Excellent communications skills, organisational skills and independent and autonomous working Experience in ITIL ICT service delivery on critical infrastructure Experience of working under pressure to meet deadlines while handling multiple priorities Experiencing in patch management including analysis and deployment Understanding of the importance of stakeholder management and organisational acumen. Provide up to date and accurate reporting to programme and customer Demonstrable ability to adapt to new technologies, skillsets and to learn quickly. Worked in a business or safety critical environment previously Excellent understanding of end to end engineering processes Excellent communications skills, organisational skills and independent and autonomous working You MIGHT ALSO HAVE: Design, build, test and ongoing management of O365 (Exchange, Teams) Management and troubleshooting of Microsoft Exchange (on premise) Design, build, test and ongoing management of Ivanti infrastructure Design build, test and ongoing management of MDT infrastructure We provide an employment package that attracts, develops and retains only the best in talent. Our reward scheme includes: Contributory Pension Scheme Private Medical Insurance 33 days Annual Leave (including public and privilege holidays) Access to Flexible benefits (including life assurance, health schemes, gym memberships, annual buy and sell holidays and a cycle to work scheme) Flexi-TIme Commitment to Diversity: We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture. We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone. If you have a disability or need any reasonable adjustments during the application and selection stages please let us know, and we will respond in a way that best fits your needs. Who We Are Leidos UK & EUROPE - we work to make the world safer, healthier, and more efficient through technology, engineering and science. Leidos is a growing company delivering innovative technology and solutions focused on safeguarding critical capabilities and transformation in frontline services, our work in the United Kingdom includes addressing some of the most complex problems in defence, healthcare, government, safety and security, and transportation. What Makes Us Different Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team. We have been empowering our people to work flexibly for years. Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours. People Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing. We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future. Pay Range: £47,600.00-£61,000.00 The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit . Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Leidos UK is seeking an Infrastructure Engineer to design, build and manage SCCM and VDI solutions, overseeing Dell servers and storage, and maintaining Active Directory in on-prem environments. You will work within ITIL governance, report to project leaders and collaborate with cross-functional teams to deliver secure, reliable infrastructure across sites while addressing evolving technology needs.

£52,253 to £60,834 per annum This is a fixed term position for 2 years due to time limited funding from an external grant. Overall purpose: To lead the deployment, scaling and maintenance of machine learning systems for petabyte-scale connectomics data within the group of Dr. Albert Cardona at the MRC Laboratory of Molecular Biology. The role will focus on turning machine learning models for volume electron microscopy into robust, reproducible and observable production pipelines, supporting automated segmentation, synapse detection, proofreading and large-scale image analysis. The post holder will design and maintain infrastructure for training, inference, monitoring, debugging and data processing across GPU/CPU clusters, on-prem storage systems and HPC environments. They will work closely with scientists, software engineers and collaborators to ensure that ML workflows are reliable, scalable, version-controlled and usable by the wider research group. Inspire ideas for research in the context of the work of the Neurobiology Division. To play a major role in the work of the research group, through the conduct of research, introduction of new ideas, dissemination of research results, support and training of others. Contribute to the strategic development of the group and of the division overall. To be a focus of expertise on ML-based image processing, computational data analysis, systems administration and software engineering as relate to the day to day operations of a neuroscience research laboratory acquiring and analysing data from electron microscopes and other imaging modalities. Main duties: To deploy, maintain and improve machine learning models for production-scale inference on large volume electron microscopy datasets. To build robust ML pipelines for training, batch inference, validation, monitoring and reprocessing across GPU and CPU compute environments. To debug failures across the full ML stack, including model execution, data loading, storage I/O, distributed jobs, container environments, cluster scheduling and database interactions. To keep up to date with developments in the field, proposing or implementing changes of direction as necessary. To identify, develop and apply a broad range of techniques to pursue the research objectives. To present your work at seminars within the laboratory and at external meetings. To contribute to laboratory wide discussions on developments within the laboratory, particularly in the use of new techniques or new equipment. To disseminate research findings in the form of publications, presentations, and reports and thus support the QQR mission of the division. To train students, Postdoctoral Scientist and others and line management of group members where appropriate. To contribute to the MRC's engagement with the public and in the translation of research findings into improvements in health care. Key responsibilities: The key responsibility is to develop, deploy, maintain and improve production scale machine learning systems for large volume electron microscopy and connectomics data. The post holder will ensure that machine learning models can be run reliably, reproducibly and efficiently across large datasets, GPU/CPU clusters, storage systems and associated databases. You will be expected to act independently in solving complex technical problems across the machine learning deployment stack, including data loading, model execution, distributed processing, storage I/O, containerised environments, cluster scheduling, monitoring and debugging. To design and maintain robust infrastructure for training, inference, validation and reprocessing of machine learning models on multi terabyte to petabyte scale datasets. To translate prototype machine learning models and research code into reliable, version controlled and docu mented production workflows that can be used by researchers and collaborators. To build and maintain monitoring tools for pipeline performance, model output quality, job failures, data integrity, throughput, resource usage and storage bottlenecks. To work closely with scientists, software engineers, research support staff and external collaborators to ensure the smooth running of large scale ML and data processing workflows. To contribute to the management and optimisation of compute and data infrastructure, including GPU servers, CPU clusters, large scale storage systems, databases and cloud or HPC environments. To introduce and apply best practices in software engineering, MLOps, testing, documentation, reproducibility, version control and deployment. To train and support group members in the use of deployed machine learning systems, data processing pipe lines and infrastructure tools. To ensure all software, data processing and infrastructure work is conducted in accordance with good practice and in compliance with local policies, legal requirements and data protection standards. To contribute to collaborations within the division, across the LMB and with external partners by providing ex pertise in ML deployment, scalable data processing and production infrastructure. Line management responsibilities may be undertaken where appropriate, including supporting staff development and performance management in accordance with MRC policies and procedures. Working relationships: You will report to Dr. Albert Cardona and will liaise with other Research Support staff, Postdoctoral Scientists and students, not only in your group, but also across the LMB and with external collaborators. Person Specification Academic qualifications and experience: PhD in computer science, engineering, data science, computational biology, physics, mathematics or a related quantitative discipline, or an MSc / MPhil plus significant equivalent professional experience in machine learning engineering, infrastructure engineering or large scale data processing. Significant experience deploying machine learning models in production or production like environments, ideally involving computer vision, image analysis or large scale scientific data. The candidate should have strong hands on experience with Python, modern machine learning frameworks such as PyTorch, and robust software engineering practices including testing, documentation, version control and code review. Extensive experience working with large scale datasets, ideally multi terabyte to petabyte scale data, including data storage, data access patterns, chunked or distributed data formats, database backed metadata systems and debugging performance bottlenecks. Experience with image data, electron microscopy, bioimage informat ics or connectomics would be highly desirable. The candidate should have experience building, deploying and maintaining ML pipelines for training, inference, validation and reprocessing across GPU and CPU infrastructure (e.g., HPC environments). They should be comfortable debugging failures across the full ML stack, including model execution, data loading, memory us age, storage I/O, distributed jobs, containers, cluster scheduling, dependency management and databases. Experience with Linux systems administration, containers such as Docker or Singularity/Apptainer, workflow orchestration tools, SLURM or Kubernetes, and cloud platforms such as AWS or similar vendors would be de sirable. Experience with additional programming languages such as Rust, C++, Java, JavaScript, Bash or SQL would be beneficial, particularly where this has been applied to building reliable, scalable and maintainable infrastruc ture or data processing systems. Technical skills and expertise: Significant experience of and proven expertise in cutting edge research relevant to the project, and knowledge of the field. The ideal candidate will have a strong background in machine learning engineering and bioimage informatics, combining expertise in large scale data processing and software engineering with specific experience deploying and maintaining machine learning systems in production or production like environments. Particularly useful would be comprehensive experience in and knowledge of: Deploying machine learning models for large scale batch inference, ideally for computer vision, image analysis or scientific imaging data. Developing and maintaining robust data processing and ML pipelines for multi terabyte to petabyte scale datasets. Debugging production issues across data loading, model execution, storage I/O, memory usage, distributed jobs, containers, dependency management, databases and cluster scheduling. Working with GPU and CPU compute clusters, including job scheduling, resource monitoring, failure recovery and performance optimisation. Optimising data access patterns for large image volumes, including chunked or distributed formats such as Zarr, N5, HDF5 or similar. Knowledge of Drosophila larval neuroanatomy and the use of NBLAST to compare and identify neurons by morphology. CATMAID, Fiji, BiaPy and other open source software platforms for handling neuroscience imagery. Managing large datasets using system administrator skills in Linux and BSD servers, and knowledge of databases such as Postgresql. The use of the Python programming language with evidence in the form of online version control repositories of software written by the applicant. Implementing algorithms into version controlled software packages for use by others. Cloud computing with AWS or similar vendors. Programming languages including python, bash, R, Java . click apply for full job details

Infrastructure Engineer (SAN / VMware) Manchester £45,000 - £55,000 + Benefits Excellent opportunity for an experienced Infrastructure Engineer with strong SAN and VMware experience to join a growing team within a large, multi site environment. This role will suit someone who enjoys working with enterprise storage, on prem infrastructure, building systems from scratch and playing a key role in project delivery rather than purely BAU support. This organisation is a well established UK business operating across secure and highly regulated environments, with a significant national presence. They are investing in their infrastructure team, adding engineers to support growth and ongoing improvements across a large estate of over 90 sites and 1,000+ servers. In this role, you will be responsible for delivering infrastructure projects and supporting core systems across a predominantly on prem environment. A major focus of the position is managing and supporting SAN / enterprise storage platforms, alongside VMware virtual infrastructure, Active Directory and wider server technologies. Around 80% of the role is project based, giving you the opportunity to be involved in real upgrades, migrations and improvement work across the business. The ideal candidate will have strong experience in enterprise infrastructure environments, particularly with SAN / storage platforms, VMware and on prem systems. You will be comfortable working across physical and virtual environments, have solid Active Directory experience, and ideally some exposure to cloud technologies. This is a fantastic opportunity to join a growing team where you can take ownership of infrastructure projects, develop your technical skills, and work within a business that values practical, hands on engineering expertise. The Role: Support, administer and optimise SAN / enterprise storage environments Manage VMware infrastructure including hosts, clusters, datastores and performance Deliver infrastructure projects across 90+ sites (approx. 80% project work) Build, install and configure servers and infrastructure from the ground up Support and maintain Active Directory and core Microsoft environments Assist with cloud and hybrid infrastructure where required Carry out firmware upgrades, patching and lifecycle management Ensure systems are secure, stable and operating effectively The Person: Strong hands on infrastructure experience in an enterprise environment Proven SAN / storage experience (key requirement) Strong VMware administration experience Solid Active Directory experience Exposure to cloud platforms such as Azure or AWS beneficial Experience with physical servers, racks and on prem environments Full UK driving licence Able to obtain SC clearance We are an equal opportunities company and welcome applications from all suitable candidates.