1,176 to 1,200 of 8,946 Agile Jobs

Experience with AWS Experience with Transaction Banking, Payment domain Experience in Financial Services or Fintech Practical experience with containers is a plus Comfort with Agile operating models (practical experience of Scrum/Kanban) ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help ...

data engineering environments ✅ Experience working with Data Lakes ✅ Databricks experience is a big advantage! ✅ Excellent stakeholder management, facilitation and communication skills ✅ Experience with Agile, Scrum and Lean delivery practices ✅ Strong ability to manage dependencies, risks and competing priorities ✅ Experience influencing and building consensus without direct authority ✅ Good understanding ...

prioritization across features, defects, and technical improvements Engineering Delivery & Leadership Lead cross-functional teams (engineering, QA, analysts) to deliver high-quality, predictable outcomes Drive Agile execution, including sprint planning, backlog refinement, and release coordination Participate in solution design, architecture reviews, and technical decision-making DevOps, Stability & Incident Management … experience in technical product management, software engineering, DevOps, or platform engineering 8+ years of experience leading end-to-end delivery of enterprise applications in Agile environments 8+ years of experience working with cloud-native and distributed systems architectures The Ideal Qualifications Strong background in production support, incident management ...

scale, enabling clients to achieve meaningful impact.You’ll be based in London as part of our global Data Engineering community. Working in cross-functional Agile teams, you’ll collaborate with Data Scientists, Machine Learning Engineers, and industry experts to deliver advanced analytics solutions. You’ll be partnering with clients ...

existing codebase to enhance automated testing, performance, and maintainability.* Engineering Excellence: Write clean, well-documented code, participate actively in code reviews, and champion agile best practices within the team.**What You’ll Bring*** Professional Experience: 5+ years of professional experience as a Java backend engineer.* Mindset and Ownership … experience with automated testing methodologies, including unit/integration testing, TDD, and exposure to simulation or stress testing.* Software Design Fundamentals: Well-versed in Agile methodologies, design patterns, DRY principles, Clean Code, and microservices architecture.* Technical Ecosystem: Proficient with modern DevOps and cloud tools, including Git, Docker, Kubernetes ...

functions, mentoring future leaders and creating a culture of accountability, trust and continuous improvement. Embraces emerging technologies, including AI-enabled delivery approaches, while remaining agile in complex environments and continuously identifying opportunities to improve delivery quality, efficiency and business outcomes.Essentials:Extensive experience delivering large-scale Oracle ERP and Oracle … Publisher, OTBI, FBDI, ADFdi, REST/SOAP APIs, Visual Builder, extensions, security, or reporting.Programme Management skills and practical experience of methodologies like Prince2, Agile, or Waterfall, planning, scheduling, risk management, and stakeholder managementOracle Cloud certifications - relevant Oracle certifications across Oracle Fusion Cloud, technical architecture, integration, data migration, reporting ...

functions, mentoring future leaders and creating a culture of accountability, trust and continuous improvement. Embraces emerging technologies, including AI-enabled delivery approaches, while remaining agile in complex environments and continuously identifying opportunities to improve delivery quality, efficiency and business outcomes.Essentials:Extensive experience delivering large-scale Oracle ERP and Oracle … Publisher, OTBI, FBDI, ADFdi, REST/SOAP APIs, Visual Builder, extensions, security, or reporting.Programme Management skills and practical experience of methodologies like Prince2, Agile, or Waterfall, planning, scheduling, risk management, and stakeholder managementOracle Cloud certifications - relevant Oracle certifications across Oracle Fusion Cloud, technical architecture, integration, data migration, reporting ...

functions, mentoring future leaders and creating a culture of accountability, trust and continuous improvement. Embraces emerging technologies, including AI-enabled delivery approaches, while remaining agile in complex environments and continuously identifying opportunities to improve delivery quality, efficiency and business outcomes.Essentials:Extensive experience delivering large-scale Oracle ERP and Oracle … Publisher, OTBI, FBDI, ADFdi, REST/SOAP APIs, Visual Builder, extensions, security, or reporting.Programme Management skills and practical experience of methodologies like Prince2, Agile, or Waterfall, planning, scheduling, risk management, and stakeholder managementOracle Cloud certifications - relevant Oracle certifications across Oracle Fusion Cloud, technical architecture, integration, data migration, reporting ...

Agile Business Analyst - Consultant (Public Sector) - Permanent - Hybrid Locations: London, Manchester, Newcastle, Glasgow, Newcastle, Leeds Salary up to £55,000 Flexible Working Model SC Cleared or SC Eligibility essential/Public Sector experience essential We are partnered with a leading digital innovation and consulting client who are currently hiring … heavily across the UK with specific focus on Agile Business Analysts. We are seeking experienced individuals across all sectors and we are particularly interested to hear from candidates with relevant experience in UK Government or Public Sector. As an Agile Business Analyst you will: Help our clients understand ...

driving security adoption without direct authority Experience with modern development practices including CI/CD pipeline design, version control systems like Git, and agile development methodologies Additional Preferred Qualifications: Advanced DevSecOps platform experience including building or extending internal developer platforms, security tooling, and experience with SAST/DAST/ ...

following specialist modules: ITIL 4 Specialist: Drive Stakeholder Value (DSV)ITIL 4 Specialist: Create, Deliver and Support (CDS)Certification in a recognized Agile or DevOps methodology (e.g., SAFe Release Train Engineer (RTE), DASA DevOps Fundamentals).Advantageous: ITIL 4 Strategist: Direct, Plan and Improve (DPI) certification. Foundational cloud platform certification ...

Experience with AWS Experience with Transaction Banking, Payment domain Experience in Financial Services or Fintech Practical experience with containers is a plus Comfort with Agile operating models (practical experience of Scrum/Kanban) ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help ...

production environments.Experience with monitoring and observability platforms such as Dynatrace.Experience using Terraform, GitHub, Kubernetes or similar engineering tooling.Experience working with Jira and Confluence within Agile delivery teams.Professional certifications in GCP or comparable cloud technologies.Experience coaching engineers, developing reusable engineering patterns and improving operational standards.Interest/passion ...

production environments.Experience with monitoring and observability platforms such as Dynatrace.Experience using Terraform, GitHub, Kubernetes or similar engineering tooling.Experience working with Jira and Confluence within Agile delivery teams.Professional certifications in GCP or comparable cloud technologies.Experience coaching engineers, developing reusable engineering patterns and improving operational standards.Interest/passion ...

Lead Machine Learning Engineer Job Description As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing … problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production ...

production environments.Experience with monitoring and observability platforms such as Dynatrace.Experience using Terraform, GitHub, Kubernetes or similar engineering tooling.Experience working with Jira and Confluence within Agile delivery teams.Professional certifications in GCP or comparable cloud technologies.Experience coaching engineers, developing reusable engineering patterns and improving operational standards.Interest/passion ...

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing … problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. ...

Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing … problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production ...

Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing … problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. ...

Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications … problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. ...

Sr. Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing … problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production ...

Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing … problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. ...

Sr. Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing … problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production ...

across multiple teams, suppliers, and complex project environments. • Strong background in software testing across functional, integration, system, and non-functional testing. • Solid understanding of Agile delivery methodologies and working within Agile project environments. • Experience using Atlassian Jira and Confluence for test management, defect tracking, and project documentation • Experience ...

Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing … problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production ...