6722 jobs found

DevSecOps Capability Manager Location: Skipton (Hybrid) Salary: Competitive + Excellent Benefits Are you passionate about driving secure, high-performing software delivery at scale? This is a fantastic opportunity to lead and evolve a DevSecOps capability within a forward-thinking organisation, enabling fast, safe, and compliant delivery across multiple engineering teams. The Role As the DevSecOps Capability Manager, youll lead and scale DevSecOps practices across the organisation, embedding secure-by-design principles, modern automation, and policy-as-code into the CI/CD ecosystem. Youll play a pivotal role in improving engineering performance, focusing on DORA metrics such as lead time, deployment frequency, and reliability. This role blends technical leadership, strategy, governance, and hands-on capability development. What Youll Do Value, Flow & Quality Own and improve lead time and deployment frequency across platforms Publish and act on DORA and flow metrics Remove bottlenecks through automation and policy-as-code Implement modern deployment strategies (canary, blue/green, auto rollback) Drive performance improvements via engineering scorecards Leadership & Capability Development Lead, coach, and develop a team of DevSecOps Engineers Define standards, patterns, and best practices Foster a culture of security, automation, and continuous improvement Strategy, Governance & Technical Direction Set DevSecOps strategy across pipelines and security automation Establish governance for CI/CD, IaC, and cloud delivery Define observability standards (SLOs, tracing, dashboards) Embed security into pipelines (SAST, SCA, DAST, secrets, IaC scanning) Govern "Golden Path" templates and adoption Operational Oversight & Risk Management Oversee reliability, performance, and security of platforms and pipelines Lead vulnerability management and remediation Support incident response and post-incident reviews Integrate telemetry across Azure ecosystem (Defender, Entra, WAF) Collaboration Across Technology Act as a senior advisor to engineering, product, and security teams Align stakeholders on delivery and security best practice Represent DevSecOps in governance forums Tooling, Automation & Optimisation Own DevSecOps tooling strategy and lifecycle Drive automation across testing, security, deployment, and monitoring Partner with Cloud and Platform teams Own and evolve the Golden Path service catalogue Business Continuity & Resilience Embed resilience and BCP via policy-as-code Ensure audit-ready pipeline outputs Run recovery and resilience testing (game days) What Were Looking For Strong leadership and people management experience Deep expertise in CI/CD, DevSecOps, and security integration Strong cloud, containerisation, and IaC knowledge Proven ability to improve DORA and engineering performance metrics Experience with observability and monitoring frameworks Strong background in security tooling (SAST, SCA, DAST, scanning tools) Solid understanding of cloud security, IAM, and zero-trust principles Experience working in complex or regulated environments Excellent communication and stakeholder management skills Whats In It for You Impact: Lead a critical DevSecOps capability in a large-scale organisation Flexibility: Hybrid and flexible working options Career Growth: Ongoing learning, development, and leadership exposure Benefits Package: Annual discretionary bonus 25 days holiday + bank holidays + holiday trading Up to 10% matched pension Private medical insurance Electric car salary sacrifice scheme Colleague mortgage benefits 3 paid volunteering days Gym discounts & wellbeing support Inclusive employee networks Apply today or reach out directly to Charlie Smith for a confidential chat. JBRP1_UKTJ

Sage is a forward thinking technology company that specialises in software. The team you'll be applying for models itself on creating a robust culture of belonging. We pride ourselves on fostering a fast paced, innovative environment where experimentation and continuous improvement are highly valued. Our infrastructure is built on AWS, enabling us to deliver robust and scalable solutions to our clients. The key responsibility of the role will initially be to test a new Embedded Payroll Service, specifically the UI part of the product utilising the API's connected to the backend services. Working closely with UX design colleagues and other Business Analysts before moving onto the delivery of the overall product alongside Developers and other QA Engineers. You will be supported by being positioned in a squad with a strong lead, principal, senior, mid level and graduate set up, that will support your growth as well as a leader who will invest in your career. This is a hybrid role - three days per week in our Newcastle office. In This Role You'll Test and maintain a new high quality, scalable front end application that integrates with internal APIs bringing it together as a complete solution. Collaborate closely with Product, Design, and Business Analysts to ship an elegant, performant, and reliable product that delivers a seamless user experience. In Addition, You Will Join a Team That Also Work cross functionally with various Sage teams: Product management, QA/XD, various product lines and business units to deliver for our customers. Experiment with new technologies and methodologies to improve our development processes and product offerings. Participate in refinement sessions to provide complete stories, with concise designs and acceptance criteria ready for delivery by the engineering team. Maintain relevant documentation to describe logic, coding/configuration, testing and changes where applicable. Contribute to the continuous improvement of our software development lifecycle. Be an active and enthusiastic team player. Partner effectively with all team members to deliver against commitments. Collaborate with global teams across Sage, to define, design, deliver, and maintain other services across the Payroll and HR Business Unit. What We're Looking For Experience in front end testing with a focus on Playwright/Accessibility. Experience using GitHub Co Pilot as a complimentary tool building on your own skills making deliver as efficient as possible. Experience of programming languages - JavaScript & TypeScript (essential) and C# & SQL (favourable). Knowledge of AWS services (e.g., EC2, S3, RDS, Lambda, API Gateway, DocumentDB etc.). Tooling experience - Bruno/Postman & Playwright. Experience with Agile Development & SCRUM would be an advantage. Strong problem solving skills and attention to detail. Ability to work effectively in a fast paced, agile environment. Good communication and collaboration skills. Manual/Cross Browser testing experience.

About Graphcore At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence Job Summary Applicants for this role should have strong experience working with machine learning systems and frameworks, along with a solid understanding of core AI concepts and model behaviour. The role centres on testing, validating, and benchmarking a complex ML software stack, with a particular focus on performance, reliability, and correctness across modern AI workloads. The ideal candidate is an experienced ML engineer who understands how contemporary models are trained and executed, and who has hands on experience debugging functional and performance issues in ML systems. This person will be comfortable working with industry-standard frameworks and state-of-the-art models, bringing them up on internal infrastructure, and collaborating closely with software and hardware teams in a technically demanding environment spanning ML frameworks, infrastructure, and AI accelerator hardware. The Team The ML QA team is composed of highly skilled software engineers with a strong focus on automation, software quality, and data driven validation. The team works closely with industry standard machine learning frameworks and models, contributing to upstream open source projects and collaborating across the wider software organization. Operating in a fast paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability across the ML software stack, helping to deliver robust and high quality products to customers. Responsibilities and Duties Benchmark ML models and frameworks, analysing results to identify regressions, performance bottlenecks, and correctness issues. Work hands on with industry standard ML frameworks to validate functionality and performance across different execution environments. Build and maintain automated testing and benchmarking pipelines targeting simulators, emulators, and physical hardware. Collaborate closely with software teams to ensure adequate test coverage for new and existing features. Develop tooling and scripts (primarily in Python) to support testing, benchmarking, and functional reporting. Take ownership over aspects of our testing and infrastructure, owning the roadmap and driving innovation independently. Candidate Profile Essential: Experience working in Machine Learning or ML adjacent engineering roles. Strong foundation in core AI and ML concepts (e.g., neural networks, training vs inference, numerical precision, performance trade offs). Hands on experience with one or more major ML frameworks such as PyTorch, TensorFlow, JAX, or similar. Strong proficiency in Python for ML workflows, experimentation, and automation. Experience designing, running, and analysing ML benchmarks or experiments. Experience working in Linux environments. Strong analytical and debugging skills, with the ability to reason about model behaviour and system performance. Bachelor/Master's/PhD or equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. Desirable Experience with MLOps pipelines, model deployment, or production ML systems. Familiarity with performance analysis, profiling tools, or numerical accuracy validation. Exposure to distributed training or inference systems. Experience with hardware accelerated ML, compilers, or system level performance considerations. Familiarity with CI/CD systems used for ML workflows. Experience contributing to open source ML frameworks or tooling. Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.

Senior Software QA Engineer - Rock Physics Applications Location: 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties This is a hands on software quality assurance role. We are looking to recruit a Senior QA Engineer to develop and execute software tests for the Rock Physics desktop and cloud applications. Reporting to the Team Lead and working closely with other QA and the Product Owner, you will apply a comprehensive understanding of all elements of a successful software development program, including code inspections, manual testing, automated testing, functional requirements, design, usability, test plans, results, and defect management, while contributing to continuous improvement of our QA processes. Key Responsibilities Execute and design test cases - run application workflows, regression test suites, and perform exploratory testing to identify defects; create and maintain test cases that include workflow steps, expected behavior and validation criteria. Develop test automation - create and maintain automated test cases to increase test coverage and accelerate release cycles. Collaborate with developers - work closely with the development team to test fixes, validate new functionality and ensure defects are thoroughly documented following published Landmark guidelines. Plan future releases - serve as an integral part of release planning by estimating efforts required in testing, documentation and advising on product improvement. Champion quality practices - advocate for quality throughout the development lifecycle; participate in agile ceremonies and contribute a QA perspective to sprint planning and retrospectives. Support security & quality practices - assist with secure architecture design reviews and support preparing applications for security testing; ensure security vulnerabilities have been mitigated. Leverage AI in daily QA work - actively use AI powered tools (e.g., Copilot, AI test case generators, intelligent test analytics) to accelerate test creation, improve defect detection and enhance overall QA productivity. Communicate clearly - elevate risks, quality metrics and testing progress in a timely, structured manner to technical and non technical stakeholders. Stay current - continuously evaluate and adopt emerging testing tools, frameworks, and AI assisted QA methodologies relevant to the product. Mentor Junior QA - coach junior QA engineers through test reviews, paired testing and knowledge sharing to build their domain and automation skills. Required Qualifications 4+ years of professional software quality assurance testing complex, production grade applications in a structured QA environment. Bachelor's Degree or higher in Geoscience, Petroleum Engineering or a closely related discipline. Strong domain expertise in rock physics, petrophysics or geomechanics and related applications (e.g., DS Petrophysics); experience in the oil and gas industry. Comprehensive understanding of all elements of a successful software development program, including code inspections, manual testing, automated testing, functional requirements, design, usability, test plans, results and defect management. Proven experience with QA fundamentals: test case design, defect lifecycle management, regression testing, exploratory testing and test documentation. Hands on test automation experience - writing and maintaining automated test cases (e.g., Selenium or equivalent frameworks). Competence with Windows and Linux environments. Self motivated and collaborative; thrives in a team environment and takes initiative without direction; excellent analytical, communication and problem solving skills. Additional Information Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/orientation, gender identity, age, veteran status, national origin or any other status protected by law or regulation. Requisition Number: 209090 Experience Level: Experienced Hire Job Family: Engineering/Science/Technology Product Service Line: Landmark Software & Services Full Time / Part Time: Full Time Additional Locations for this position: Abingdon Compensation is competitive and commensurate with experience. Job Segment: Testing, QA, Quality Assurance, Cloud, QA Tester, Technology, Quality

About Graphcore At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary We are looking for a Senior Staff Engineer to join our Cloud Platform Team and help develop and deploy cloud services. Working closely with our colleagues in Software Platform, Datacentre Operations and Product Development teams, you will deploy services on our fleet of cutting edge AI systems. As part of our Software Platform organisation, you will be involved in the cloud integration, validation, performance benchmarking, optimisation, and development of our high performance AI solutions, including in house AI systems and off the shelf high performance servers, switches and storage solutions. This is a hand on technical role requiring a solid background in the use of cloud infrastructure, deployment using Infrastructure as Code, observability, high performance networking and storage systems. You may have been working in an IT organisation, a datacentre, a cloud provider or as a developer of orchestration or cloud services. The Software Platform team We build Graphcore products into large scale AI solutions for our customers. The Cloud Platform Team is responsible for providing such systems to both internal users via private clouds and customers via our own public clouds. Often the internal systems will be using and developing pre release hardware and software, so it's vital you are comfortable with unproven components. Responsibilities and Duties Operate and extend existing OpenStack based cloud services and contribute to the deployment and development of new ones. Develop and operate end user services on our clouds and support internal users in their use. Turn end user and product requirements into deployed services. Help build automation to collect and analyse metrics and other observability data from the cloud services to support clear identification and reporting of any issues. Work with users to provide information on any product related issues to Engineering and QA departments. Work with our Datacentre Operations Engineers to maintain and operate the fleet of AI systems at peak performance in our private clouds. Configure and test new Graphcore AI hardware and systems using Continuous Deployment and Infrastructure as Code in internal and external datacentres. Drive corrective actions for systems that are not operating correctly, working with DC operations and Graphcore Engineering as required. Work with external vendors of off the shelf switches, servers and storage solutions to specify, benchmark and integrate 3rd party products into our Cloud Reference Design. Skills and Experience ALL REQUIRED Bachelor's degree or equivalent practical experience in a relevant subject. Solid infrastructure or IT experience with a proven track record of delivering technical output as an individual contributor. Experience managing or operating on premises or private cloud environments. Experience specifying, scoping, estimating and detailing work plans in an AGILE and SCRUM framework, including priorities, risks, issues, impacts and constraints. Strong proven Linux scripting ability (bash and python required). Strong proven Linux system administration (Ubuntu, RHEL and variants). Experience with a version control system (preferably Git) and using it to manage system configuration or automation. Experience with Continuous Integration or testing pipelines using GitLab, GitHub or similar. Hands on experience deploying services into public or private clouds using Infrastructure as Code. A solid understanding of the technologies underpinning cloud services (APIs, virtualisation of CPUs, IO, systems), virtual networks, block storage, resource management and monitoring. Experience with IAC automation tools (e.g. Terraform/OpenTofu, Ansible, Packer). Experience with container deployment and management tools (e.g. Docker, Podman, Apptainer). Experience with solutions for monitoring and observability (Grafana, Prometheus, OpenSearch/ElasticSearch, Loki, Mimir, OpenTelemetry, Fluentd, Kafka). Good communication and presentation skills, and experience dealing with end users of IT or cloud services. An ability to work independently on critical infrastructure without oversight, and with a focus on end user availability. Desirable but not required Experience with OpenStack deployments or the technologies they rely on (e.g. Ceph, Open vSwitch, KVM, QEMU). Experience with High Performance Computing (HPC) environments using SLURM or similar batch workload solutions. Strong skillset and experience in end to end deployment automation and CI of containerised services. Complete automation of pipelines for build, test, deploy, manage, alert, destroy, rebuild. Experience with managing production Kubernetes clusters and workloads. Experience with workload queue management systems (SLURM, LSF, Kueue). Experience with managed switch configuration (e.g. EOS, SONiC, DNOS). Programming experience with Python3 utilising classes and inheritance. Programming experience with Go. Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Sponsorship Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.

About Graphcore At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long term investment, we are delivering key technology into the fast growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary We are looking for a Senior Engineer to join our Cloud Platform Team and help develop and deploy clouds and services. Working closely with our colleagues in Software Platform, Datacentre Operations and Product Development teams, you will deploy services on our fleet of cutting edge AI systems. As part of our Software Platform organisation, you will be involved in the cloud integration, validation, performance benchmarking, optimisation, and development of our high performance AI solutions. These include in house AI systems alongside off the shelf high performance servers, switches and storage solutions. This is a hand on technical role requiring a solid background in the use of cloud infrastructure, deployment using Infrastructure as Code, observability, high performance networking and storage systems. You may have been working in an IT organisation, a datacentre, a cloud provider or as a developer of orchestration or cloud services. The Software Platform team at Graphcore We build Graphcore products into large scale AI solutions for our customers and the Cloud Platform Team is responsible for providing such systems to both internal users via private clouds and customers via our own public clouds. Often the internal systems will be using and developing pre release hardware and software, so it's vital you are comfortable with unproven components. Responsibilities and Duties Develop and operate Kubernetes managed end user services on our private clouds and support internal users in their use. You will turn end user and product requirements into deployed services. Work with our Datacentre Operations Engineers to maintain and operate the fleet of AI systems at peak performance in our private clouds. Configure and test new Graphcore AI hardware and systems using Continuous Deployment and Infrastructure as code in internal and external datacentres. Skills and Experience (all required) Bachelor's degree or equivalent practical experience in a relevant subject. Experience with managing production Kubernetes clusters and workloads with a continuous delivery tool such as ArgoCD. Solid software engineering or IT experience with a proven track record of delivering technical output as an individual contributor. Experience working in an AGILE and SCRUM framework, including understanding of priorities, risks, issues, impacts and constraints. Strong proven Linux scripting ability (bash, python, awk, sed). Strong proven Linux system administration (Ubuntu, RHEL and variants). Experience with a version control system (preferably Git) and using it to manage system configuration or automation. Experience with Continuous Integration or testing pipelines using GitLab, GitHub or similar. A solid hands on understanding of the technologies underpinning cloud services (APIs, virtualization of CPUs, IO, systems), virtual networks, block storage, resource management and monitoring. Experience with IAC automation tools (Terraform/OpenTofu, Ansible, Packer). Good communication and presentation skills, and experience dealing with end users of IT services. An ability to work independently on critical infrastructure with minimal oversight, and with a focus on end user availability. Desirable but not required Experience with Openstack cloud platforms. Experience with solutions for monitoring and observability. e.g. Grafana, Prometheus, OpenSearch/ElasticSearch, Loki. Experience with High Performance Computing (HPC) environments using SLURM or similar batch workload solutions. Programming experience with Python3 utilising classes and inheritance. Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Sponsorship Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.

Job Description Summary Job Description Do you want to provide electrical leadership at one of the world's most unique, large-scale power and propulsion testing facilities? GE Vernova is looking for an exceptional Lead Power Systems & Test Engineer to join our Electrification team based in Whetstone, UK. GE Vernova - The Energy to Change the World With over 130 years of experience and proven innovation, GE Vernova is leading a new era of energy. We are electrifying the world while working to decarbonize it. Our name reflects our mission. "GE" carries a legacy of quality and ingenuity. "Ver" signals Earth's lush ecosystems, while "Nova" nods to a new era of lower-carbon energy we are helping to deliver. Focused on the future, GE Vernova is accelerating the shift to reliable, affordable, and sustainable energy. We help customers power economies and deliver electricity vital to health, safety, and quality of life. Electrification Our Electrification solutions modernize grids, enable renewable integration, and strengthen energy systems. From software to power conversion and storage, we help create smarter, more resilient energy networks. GE's Power Conversion & Storage business, part of GE Vernova, provides electrification systems that are critical to customers' power and energy needs for their high-performance applications. We work with some of the world's major energy, maritime and industrial organizations, helping to enable a transition to energy efficiency and decarbonization, including through our specialist motors, drives and control technologies. Let's Talk about the Role As Lead Power Systems & Test Engineer, you provide electrical leadership for the Marine Power Test Facility, balancing the maintenance of existing infrastructure with the installation, commissioning, and testing of new power systems and equipment. Reporting directly to the Marine Power Test & Trials Manager. You will be a key member of the Marine Power Test Facility, engineering test and commissioning team. You act as a key member of the engineering, test, and commissioning team, ensuring that all work meets the highest standards of safety, quality, and regulatory compliance. You manage safe systems of work as a Senior Authorised Person (SAP), coordinate complex site activities, and collaborate with leadership to drive process and system improvements that ensure our world-class facility remains at the cutting edge of power and propulsion technology. How You Will Make a Difference To be competent and have a proven record of HV/LV plant and systems commissioning. To carry out switching operations and the operation of permit to work, sanction to test and access limitation systems on large projects. Be competent to produce, and maintain, documentation to the required standards. Undertake installation and commissioning of cabling, switchboards, circuit breakers, contactors, transformers, UPS systems, generators and motors, power conversion / converters ensuring the overall installation, commissioning and test meets internal standards customer, and all regulatory / safety requirements. Manage the upkeep and maintenance requirements of the facility and specific systems and equipment. To produce as commissioned, tested and maintenance documentation in accordance with independently audited Company Quality and Safety Management Systems e.g. BS EN 18001 and Classification Societies e.g. Lloyds Register and DNV. Supervise test, trials and control room operations in line with approved procedures and safe working practices. Establish and manage design documentation and drawings control as necessary. Working with site leadership and EHS, manage safe systems of work, risk assessments and method statements associated with electrical work and testing. Comply with all company and customer health and safety regulations. Supervise Permit and LOTO systems as a SAP at MPTF. Skills for Success You are an experienced, safety-focused electrical professional who brings a practical site-based background and the leadership ability to manage complex high-voltage systems and test programmes. Qualifications/Requirements Electrical HV authorised & some experience in managing safe systems of work. Proven record of continuous professional development. Must have established record of sitework. Good communication skills, written and verbal in English. Customer Focused. Existing or the ability to obtain the higher levels of UK Security Clearance including "SC Clearance" and "UK Eyes Only Clearance " which are required for this role. Desired Characteristics Experience of system integration working on multi-discipline projects. On site commissioning of large projects. Electrical engineering in relevant industry (Marine, Energy, Renewables, Oil & Gas, etc.). Experience in integrated control schemes with PLCs, HMI and Drives. Power generation and distribution. LV and MV variable speed drives and motors. Ability to multi-task on a variety of projects to strict time scales. Excellent communication skills. Good report writing skills. Good personal organisational skills. Where and how you'll work This is a permanent position based in our Whetstone, UK office. This role is on-site 5 days a week. Our Culture Every action shapes our future. That's why our north star is a culture of impact, where everyone is empowered to thrive and achieve. Addressing the urgent need to build a more sustainable electric power system while improving the trajectory of climate change emissions are global priorities, and we take our responsibility seriously. That is our mission at GE Vernova: continuing to electrify to thrive and decarbonize the world. We play a significant role in leading a new era of energy. Our technology helps generate approximately twenty-five percent of the world's electricity today, and we are working to power the rest. If we want the future of energy to be different, then join us and be the difference. Together, we are the Energy of Change! We're determined to be the best place to grow We believe that strong careers are built on a variety of experiences, strong connections, and continuous development. We're committed to providing you the tools to navigate and shape a strong career journey that aligns with a healthy work-life balance. No two careers are the same, and yours should reflect your personal and professional goals. Your people leader and trusted mentors will support you through navigating your journey. We also prioritize fair pay, performance-based rewards, and wellbeing programs for you and your family. With opportunities to move across teams and functions, your career can keep evolving while sustainability stays at the core of everything we do. Inclusion & Diversity We are passionate about creating an inclusive work environment. By valuing the ideas and contributions of a diverse workforce we help inspire others to grow, succeed, and raise the bar for everyone. As an equal opportunity and affirmative action employer, GE Vernova is committed to support disadvantaged groups whilst providing equal opportunities for both GE Vernova associates and applicants alike. Join us at GE Vernova where results can be achieved by embracing a community of belonging. Additional Information Relocation Assistance Provided: No

Job Description Summary Job Profile Summary The Senior Control & Protection System Application Engineer is responsible for the requirement definition, design, studies, validation, and commissioning of Control & Protection Systems for VSC-based HVDC transmission schemes, including MMC converter technology. This position requires deep expertise in HVDC Control & Protection, strong technical leadership, and the ability to drive reference solutions, process improvements, and consistent technical quality across multi-disciplinary, international engineering teams. Key responsibilities include Team development, engineering governance, technical oversight, implementation of lessons learned, and strong adherence to Safety, Quality, Delivery, and Cost (SQDC) principles. Job Description Roles and Responsibilities 1. Technical Leadership & Oversight Oversee the overall technical solution, ensuring customer requirements are met based on reference solutions. Lead requirements gathering, system design, implementation, and development of HVDC Control & Protection systems. Review and approve technical documents, including control/protection settings, manuals, test plans, and test procedures. Serve as the primary customer interface for technical discussions, training, and requirement clarification. 2. Control System & Protection Design Define control philosophies, protection and interlocking logics, and data exchange configurations. Lead and participate in engineering design processes, including design reviews and approval cycles. Ensure that all design outputs comply with industry standards, system requirements, and quality procedures. 3. Advanced Modelling & Simulation Conduct Electromagnetic Transient (EMT) studies using PSCAD, EMTP-RV, and model control/protection functions in MATLAB/Simulink. Perform network conversion, modelling, tuning, and verification using PSSE, PSCAD, and RSCAD. Develop full plant/system models and lead end-to-end validation across multiple simulation platforms. Lead Control System Studies & Testing, including: o Software-in-the-Loop (SIL) o Dynamic performance studies o Protection coordination o Overall system integration 4. System Testing & Commissioning Conduct Integration System Test (IST), Functional System Test (FST), Factory Acceptance Tests (FAT), Site Acceptance Tests (SAT), and system commissioning at customer sites. Lead root cause analysis and troubleshooting of complex VSC control and protection issues. 5. Team Development & Mentorship Provide technical guidance, mentorship, and knowledge transfer to junior engineers. Support managers in building high-performing, resilient teams. Recruit, develop, and mentor engineering talent to enhance organizational capability. 6. Process Improvement & Operational Excellence Identify and implement improvements in engineering tools, processes, systems, and technical solutions to enhance customer value and operational efficiency. Make informed decisions regarding work processes, schedules, priorities, and operational plans to achieve departmental objectives. Uphold and promote SQDC principles across teams. Required Qualifications Education: Degree in Electronics/Electrical Engineering or equivalent proven experience in HVDC systems. Experience: Minimum 12 years in HVDC control and protection system design. Technical Expertise: HVDC Control, Protection, and Sequencing strategies. Dynamic performance studies and system modelling for VSC-HVDC schemes. Proficiency in PSCAD and MATLAB/Simulink. Leadership & Communication: Strong technical leadership experience. Ability to understand and communicate customer requirements effectively. Ownership of technical discussions and ability to develop strong client relationships. Cross-Functional Collaboration: Active participation in cross-functional leadership teams. Makes independent decisions while engaging subject-matter experts as needed. Additional Information Relocation Assistance Provided: No