8 jobs found

What You'll Do Work in a cross-functional Agile team to design, develop, and deploy solutions. Build and maintain CI/CD pipelines and infrastructure as code. Collaborate with stakeholders to understand requirements and deliver secure, reliable systems. Automate workflows and improve deployment processes. Troubleshoot and resolve issues across development and production environments. Contribute to continuous improvement and share knowledge with the team. Stay up to date with emerging technologies and best practices in DevOps and security. What We're Looking For Experience in DevOps or DevSecOps environments. Strong skills in cloud platforms (AWS, GCP, or Azure) and infrastructure as code (Terraform, Ansible). Proficiency in CI/CD tools (GitHub Actions, Jenkins, CircleCI). Solid understanding of Linux systems and scripting (Bash, PowerShell, Python). Familiarity with security principles , SIEM/SOC tools, or incident response. Knowledge of networking fundamentals and APIs. Excellent problem-solving and communication skills. Nice to Have Experience with containerization (Docker, Kubernetes). Exposure to monitoring tools (Grafana, Datadog). Cloud certifications or security accreditations. Understanding of Agile methodologies. Interest in automation, security testing, or threat detection. To find out more about Computer Futures please visit (url removed) Computer Futures, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy Registered office 8 Bishopsgate, London, EC2N 4BQ, United Kingdom Partnership Number OC(phone number removed) England and Wales

DevSecOps Lead +Permanent opportunity +On site in Basingstoke +DV cleared role + 78,000 - 104,000 Skills: +DevOps +Team leadership +CI/CD pipelines +Azure / AWS As a Lead DevSecOps Engineer you will contribute to this by driving the technical delivery of the DevSecOps (CI/CD pipelines and integrated security tooling) and associated processes, ensuring these are delivered and utilised in the most effective way. The role promises exciting opportunities, use of cutting-edge technologies and a culture that encourages innovation, nurtures talent and drives delivery excellence. It provides the right candidate with an exciting career path and real opportunity to not only grow themselves but to influence the business as we work together to bring our Defence customers into the digital age. On the project, this role will report into (and support) the DevSecOps Tech Lead (MSL) and will lead the engineers, to drive scrum teams' adoption of the DevOps toolchain. This team is widely recognised as an exciting and inspiring team, driving positive change on one of DNS's most critical and technologically advanced programmes, this role provides excellent customer exposure and a real opportunity to catapult your career forwards. Owns significant parts of the Solution, Development of automation scripts, writes Build Automation scripts (Ansible) and IaC (Terraform), configures and builds CI/CD pipelines. Advises on use of DevOps Tooling, best practices and secure engineering processes. Works with DevOps delivery team to understand roadmap and processes. Works with the Customer to ensure that DevOps adoption is aligned to Engineering process. Preferably experienced at working in an agile, sprint-based lifecycle. Experienced with both Windows and Linux operating systems. Work closely with the DevSecOps Tech Lead (MSL), Managed Service Teams and Engineering Process Lead to drive the usage and implementation of DevOps tooling to facilitate secure build and test automation. Develop, and document re-usable automation scripts and IaC artefacts to assist various teams on the project in their deliveries. Act as an evangelist and advisor on the use of DevOps tools and Automation technologies. Your role will involve Responsible for the significant aspects of the technical implementation, delivery and assurance of the DevSecOps tooling, associated processed and ways of working. Leading Technical Implementation and design activities, making Design decisions and assessing options. Advising on use of DevSecOps technologies and processes, to senior customers. Works with DevSecOps Tech Lead (MSL)., Product Owners and Scrum Master to define/prioritise work and raise Risks/Dependencies. Works with DevSecOps Tech Lead (MSL) to ensure the DevSecOps implementation satisfies its requirements and ensuring it aligns to the Business Outcomes and security needs. Mentoring junior engineers and making implementation decisions. Contribution to Planning the work for the team. Reporting on progress and tracking this with Solution Owner. Defines Support Approach working with Service/Support Team. Engages with other teams on the usage of the tooling and dependency management. Your transferable skills and experience: Key Skills Significant experience in the Implementation / Configuration / Usage in a number of the following - CI/CD Pipelines, ideally Azure DevOps IaC code tooling , including Terraform, Ansible, Harbor SCA/IAST/DAST tooling, e.g. Black Duck, Coverity, Codesight, JFrog, Snyk Automated Test tooling , ideally Selenium / Robot Framework Test Management Tooling ideally Azure Test Plans Secure Secrets Management, ideally Azure DevOps and Hashicorp Vault Version control with Git General Software Development Background Strong problem-solving and analytical skills. Excellent communication and teamwork skills. DevSecOps tooling and practices Technical Leadership If you'd like to discuss this DevSecOps Lead in more detail, please send your updated CV to (url removed) and I will get in touch.

Locations : Stockholm Copenhagen V Berlin München London Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. As a (Senior) AI Software Engineer you'll be part of our rapidly growing engineering team and help to build the next generation of AI solutions. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. We are looking for talented individuals with a passion for software development, large-scale data analytics and transforming organizations into AI led innovative companies. Successful candidates possess the following: +4 years of experience in a technology consulting environment Apply software development practices and standards to develop robust and maintainable software Actively involved in every part of the software development life cycle Experienced at guiding non-technical teams and consultants in and best practices for robust software development Optimize and enhance computational efficiency of algorithms and software design Motivated by a fast-paced, service-oriented environment and interacting directly with clients on new features for future product releases Enjoy collaborating in teams to share software design and solution ideas A natural problem-solver and intellectually curious across a breadth of industries and topics Master's degree or PhD in relevant field of study - please provide all academic certificates showing the final grades (A-level, Bachelor, Master, PhD) Additional tasks: Designing and building data & AI platforms for our clients. Such platforms provide data and (Gen)AI capabilities to a wide variety of consumers and use cases across the client organization. Often part of large (AI) transformational journeys BCG does for its clients. Often involves the following engineering disciplines : Cloud Engineering Data Engineering (not building pipelines but designing and building the framework) DevOps MLOps/LLMOps Often work with the following technologies : Azure, AWS, GCP Airflow, dbt, Databricks, Snowflake, etc. GitHub, Azure DevOps and related developer tooling and CI/CD platforms, Terraform or other Infra-as-Code MLflow, AzureML or similar for MLOps; LangSmith, Langfuse and similar for LLMOps The difference to our "AI Engineer" role is: Do you "use/consume" these technologies, or are you the one that "provides" them to the rest of the organization. What You'll Bring TECHNOLOGIES: Programming Languages: Python Experience with additional programming languages is a plus Additional info BCG offers a comprehensive benefits program, including medical, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, mental health offerings, a generous retirement program, financial guidance, paid time off, and more. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. 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Location Aberdeen, Ashford (Kent), Basingstoke, Birmingham, Bootle, Bristol, Buxton, Cardiff, Carlisle, Carmarthen, Chelmsford, Crewe, Edinburgh, Glasgow, Inverness, Leeds, Milton Keynes, Newcastle-upon-Tyne, Norwich, Nottingham, Oxted, Plymouth, Sheffield, Wrexham, York About the job Job summary At the Health and Safety Executive (HSE), we believe everyone has the right to come home safe and well from their job. We use world-leading science to prevent work-related death, injury and ill health. We don't just inspect and investigate; we also provide advice and training to organisations. All this together means we help keep people safe, boost productivity, support the UK economy and contribute to a fairer society. Technology, data, and digital services underpins everything that HSE does. We are a knowledge organisation, with a wealth of experience in keeping people safe. It is the responsibility of the Information and Technology Services (ITS) Division to ensure that everyone in the organisation can access our data and information, to share it and to use it to make effective decisions. We support over 3000 colleagues working in a hybrid style at home and in 26 offices across Great Britain. Our services keep inspectors functioning effectively and efficiently on industrial sites nationwide, from oil platforms in the North Sea to our deepest mines and quarries. Working pattern Due to the nature of the work undertaken, this post is available on a full-time basis only. Travel Please be advised you may be required to travel to other HSE Offices on occasion, depending on project work needs and to attend HSE HQ in Redgrave Court, Bootle, for workshops and Team meetings, as business requires. These trips may occasionally require overnight stays. For details of HSE locations please see here HSE Offices Job description We have an opportunity to recruit a Senior DevOps Engineer to join the DevOps Team in the ITS Division. The DevOps Team comprises of internal and outsourced capabilities. As a Senior DevOps Engineer, you will thrive and enjoy working openly, collaboratively and as part of a multidisciplinary team focused on one or many projects. You will be supporting existing cloud-based services, assisting in the design, and delivery of new cloud-based services as we expand HSE's digital services in Azure, adhering to GDS principles and using Agile principles. Key Responsibilities: As a Senior DevOps Engineer you will help to develop the capability of HSEs newly formed multi-skilled DevOps Team to manage the technologies of a cloud-based IT estate. You will help establish and then operate DevOps processes, establishing a regime and culture of continuous integration (CI) and continuous deployment (CD). You will work closely with the development and test communities as we strive to automate our processes and implement new tooling. You will support the design, implementation and management of solutions that are highly available, resilient, scalable and maintainable within our cloud environment. You will deliver the DevOps Engineering support to major digital and technology services change programmes transforming HSE. You are required to work a 37 hour week based on a 5 day working week and 7.4 hours day. The working week is between 07:00 and 19:00 Monday to Friday. There is the possibility of Saturday working between 07:00 and 19:00. As far as possible your Line Manager will agree your working pattern(s) with you including any Saturday working. There may be times when you are required to work additional hours and/or a late shift to accommodate operational needs or unplanned events. Where it is necessary for operational reasons to vary your 'normal' working pattern(s), you will be notified by your manager in advance. You may be required to be on an on-call rota for which you will receive an out of hours payment. Person specification Essential Skills & Criteria: Experience of implementing and administering cloud-based solutions in Microsoft Azure, utilising IaaS or PaaS based services. Experience of building and optimising CI/CD pipelines using Azure DevOps. Experience using scripting languages (e.g. PowerShell). Experience of creating and maintaining Infrastructure as Code (e.g. Bicep, ARM templates) in a source control management system. Experience of managing the technologies of a cloud-based IT estate. Experience of setting up monitoring and alerting of live cloud services. Experience of Line Managing junior members of staff

Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, there's no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world. And that's the kind of work we want to be part of. The role: We seek an adept expert to contribute significantly to our R&D team, bridging machine learning engineering with applied data science. You'll improve and manage our Machine Learning Operations (MLOps) on Azure, and participate in creating, assessing, and advancing various machine learning models and AI systems. Collaborate extensively with scientific and operational teams to guarantee the robustness, scalability, and reliability of our AI tools. Implementing automation and standardization throughout the ML lifecycle, your efforts will support quicker, data-informed decision-making and boost innovation. Help our CDMO's mission by turning research insights into practical solutions efficiently. Key responsibilities: Compose, construct, and uphold resilient machine learning operations (MLOps) pipelines that facilitate the complete lifecycle of AI models-from creation to implementation and supervision. Guarantee the successful deployment of machine learning and large language models (LLMs) in practical operational settings, transforming research findings into functional business tools. Facilitate the progress and examination of ML models, involving both standard machine learning and neural network-focused models, as requested by R&D teams. Develop standardized, reusable workflows that can be applied across different projects and scientific areas. Collaborate with scientists and engineers to incorporate AI solutions into daily R&D tasks. Implement tools for version control, testing, and continuous integration to ensure quality, security, and traceability of AI solutions. Develop automated reporting systems that make results from AI models easier to interpret, share, and act on. Key requirements: MSc or BSc in Computer Science, Data Science, Bioinformatics, Engineering, or a related field, or equivalent experience. Proven experience designing and deploying MLOps pipelines (MLflow, Azure ML, Azure DevOps etc). Strong programming skills in Python and familiarity with common ML/AI libraries (scikit-learn, tensorflow, Keras etc.). Experience implementing machine learning and large language models (LLMs), encompassing deployment, monitoring, and retraining. Familiarity with software engineering guidelines: version control (e.g., Git), CI/CD, containerization (e.g., Docker), and workflow orchestration. Knowledge of cloud platforms and scalable compute environments (Azure preferred). Understanding of data governance, model documentation, and reproducibility in a regulated or research-heavy context. Ability to align machine learning initiatives with business objectives in a scientific or regulated environment. Every day, Lonza's products and services have a positive impact on millions of people. For us, this is not only a great privilege, but also a great responsibility. How we achieve our business results is just as important as the achievements themselves. At Lonza, we respect and protect our people and our environment. Any success we achieve is no success at all if not achieved ethically. People come to Lonza for the challenge and creativity of solving complex problems and developing new ideas in life sciences. In return, we offer the satisfaction that comes with improving lives all around the world. The satisfaction that comes with making a meaningful difference.

Motorola Solutions values your privacy . Company Overview At Motorola Solutions, we believe that everything starts with our people. We're a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. Our critical communications, video security and command center technologies support public safety agencies and enterprises alike, enabling the coordination that's critical for safer communities, safer schools, safer hospitals and safer businesses. Connect with a career that matters, and help us build a safer future. Department Overview The Specialty Camera Engineering team based in Ware, UK is responsible for developing cameras for long range surveillance applications, such as border or coastal security. The products are aimed at public and commercial safety. The team is responsible for the development of the complete products, including hardware, firmware and mechanics and takes care of the whole development life-cycle that includes development, testing and maintenance of the systems we build. Job Description Software & Firmware Test Engineer (QA) In this role, you will be an integral part of our dynamic, fast-paced software development team. We are looking for a proactive contributor who thrives on collaboration and is eager to engage in the entire software development lifecycle, from initial concept generation and architectural design through to final implementation and launch.This position follows a hybrid model, combining the flexibility of remote work with essential in-person teamwork. Therefore, candidates must be able to reliably commute to our Ware office to collaborate on key projects and attend scheduled team meetings. Core Technical Proficiencies Programming Languages: Proficiency in C/C++ for embedded systems testing; scripting experience with Python for automation. Processors: Familiarity with Microchip PIC32, ARM architectures, Intel x86 and their software/firmware testing requirements. Operating Systems: Experience with bare-metal, RTOS environments and Linux from a validation and verification perspective. Networking: Understanding of TCP and UDP networking protocols; ability to design and execute relevant test cases. Communication Protocols: Experience testing SPI, I2C, CANbus and other embedded interfaces. Robotics & Control Systems: Experience or strong interest in test automation for robotics or control software. DevOps & CI/CD: Familiarity with automated testing, continuous integration. Version Control: Proficiency with Git and collaborative development workflows for test asset management. Jira ticketing system: experience with bug tracking and issue recording. Advantageous Skills and Knowledge Python: Advanced scripting for automated test development, data analysis, or custom validation tools. Image Processing: Experience in testing image processing pipelines. Camera Systems: Familiarity with camera hardware/software interfaces, sensor validation, and test automation. Hardware/Software Co-Verification: Experience working closely with hardware teams to plan, execute, and document board bring-up and system-level validation. Collaboration & Personal Attributes Cross-Functional Collaboration: Proven ability to work closely with hardware, software, and systems engineering teams to define test requirements, investigate issues, and ensure product quality. Problem-Solving: Strong troubleshooting and root cause analysis skills for complex embedded systems. Adaptability: Eagerness to learn new tools, technologies, and adapt to dynamic project requirements. Initiative: Proactive in developing new tests, automating manual processes, and identifying/resolving quality issues. Communication: Ability to document test plans, results, bugs, and provide actionable feedback to both software and hardware stakeholders. Ownership: Lead and drive key quality assurance and automation projects from conception to completion. Test Strategy: Define and implement our overarching test strategy, ensuring all new features and products meet our quality standards across multiple scrum teams Collaboration: Work closely with product managers and cross-functional teams to define requirements, identify risks, and ensure project goals are met. Continuous Integration: Integrate automated tests into our CI/CD pipelines to enable continuous testing and faster feedback loops. Debugging & Analysis: Analyze test results, identify and report bugs, and perform root cause analysis to ensure timely resolution. Pipeline Optimization: Assist in the maintenance and improvement of our build and deployment pipelines, helping to streamline our release process. Continuous Improvement: Contribute to the improvement of our QA processes, tools, and best practices. Reporting: Analyze test results, identify and report bugs, and work with the development team to ensure timely resolution. Basic Requirements Bachelor's Degree is required, with an emphasis on Computer Science, Computer Engineering, or experience in a related technical discipline Hands-on experience as a senior level SDET or QA Automation Engineer Strong programming skills in a relevant language (i.e. Python, C#, etc.) Practical experience with CI/CD platforms (i.e. Jira, GitHub Actions) Excellent verbal and written communication skills to articulate technical concepts and project plans to both technical and non-technical stakeholders Experience with performance and load testing tools Familiarity with Docker or other containerization technologies Prior experience mentoring or leading other QA Engineers In return for your expertise, we'll support you in this new challenge with coaching & development every step of the way. Also, to reward your hard work you'll get: Competitive salary and bonus schemes. Two weeks additional pay per year (holiday bonus). 25 days holiday entitlement + bank holidays. Attractive defined contribution pension scheme. Employee stock purchase plan. Flexible working options. Private medical care. Life assurance. Enhanced maternity and paternity pay. Career development support and wide ranging learning opportunities. Employee health and wellbeing support EAP, wellbeing guidance etc. Carbon neutral initiatives/goals. Corporate social responsibility initiatives including support for volunteering days. Well known companies discount scheme. Travel RequirementsUnder 10% Relocation ProvidedNone Position TypeExperienced Referral Payment PlanYes Company Motorola Solutions UK Limited EEO Statement Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic. We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you'd like to join our team but feel that you don't quite meet all of the preferred skills, we'd still love to hear why you think you'd be a great addition to our team.