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Lead the technology strategy and engineering organization for RLDatix’s Quality Compliance Systems platform. Own architecture, Azure infrastructure, software delivery, data, AI, security, and platform capabilities. Drive scalable SaaS modernization, reliable CI/CD, AI-assisted development, technical risk reduction, and secure-by-design practices while developing multidisciplinary engineering leaders and teams.
RLDatix is on a mission to transform care delivery worldwide, ensuring every patient receives the safest, highest-quality care. Through our innovative Healthcare Operations Platform, we’re connecting data to unlock trusted insights that enable improved decision-making and help deliver safer healthcare for all.
RLDatix is on a mission to transform care delivery worldwide, ensuring every patient receives the safest, highest-quality care. Through our innovative Healthcare Operations Platform, we're connecting data to unlock trusted insights that enable improved decision-making and help deliver safer healthcare for all.
Job Description
RLDatix (RLD) is on a mission to help raise the standard of care…everywhere. Trusted by over 10,000 healthcare organisations around the world, our solutions help improve health and care. Our applications ensure that patients receive the best and safest care while supporting the providers who deliver it.
Joining TeamRLD means being part of a global effort of over 2,000 team members in making a difference in healthcare…every day.
We're searching for a London-based, hybrid Senior Engineering Director to join our Quality Compliance Systems (QCS) team, so that we can transform QCS into a modern, scalable, secure and intelligent platform with AI embedded into how products are built, operated and improved. The Senior Engineering Director will own the technology direction, engineering capability and delivery performance across software, architecture, data, infrastructure and security, to make technology a genuine competitive advantage for QCS through faster innovation, better customer outcomes and sustainable growth.
How You'll Spend Your Time
- Owning and evolving the QCS technology strategy, translating product strategy into a clear roadmap covering architecture, engineering, data, AI, security, infrastructure and platform capability, to deliver measurable customer and business outcomes.
- Embedding AI as fundamental to the QCS technology strategy, operating model and engineering culture, to materially improve customer experience, product capability, engineering productivity and operational efficiency.
- Owning the QCS Azure and architecture strategy, leading the evolution towards a modern, API-first and integration-friendly platform, to provide a secure, scalable and cost-effective foundation for growth.
- Ensuring predictable delivery through reliable CI/CD pipelines, automation and AI-assisted development, in order to maintain consistently high standards of engineering execution across QCS.
- Acting as the technical authority for QCS, diagnosing and resolving intricate technical challenges and mitigating technical risk, to maintain system reliability and security at scale.
- Leading and developing the QCS engineering organisation, mentoring engineering leaders and building capability, in order to attract and retain exceptional technical talent and leave the organisation technically stronger.
What Kind of Things We're Most Interested in You Having
- Significant experience as a senior engineering leader in a SaaS, software or technology-led business, with a track record of developing and executing technology strategy to support significant growth.
- Strong technical depth in modern cloud-native architecture, distributed systems, APIs, integrations, data platforms and scalable SaaS architecture, with substantial hands-on Azure experience (or another major cloud platform).
- Proven success building and leading high-performing, multidisciplinary engineering teams, translating complex business strategies into actionable technical plans with cross-departmental impact.In-depth knowledge of automated testing, CI/CD, infrastructure as code, observability, reliability engineering, security and technical debt management in large-scale environments.
- Experience working in a regulated, security-conscious or data-sensitive environment, with a strong understanding of secure-by-design principles and data protection.
- A conviction that AI will fundamentally change how software companies build products and operate, with demonstrable experience using AI, machine learning or generative AI to create customer or business value, including a working understanding of modern AI architectures such as LLMs, retrieval, agents, evaluation and AI governance.
- Ability to commute to London on a hybrid basis (once per week).
By enabling flexibility in how we work and prioritising employee wellness, we empower our team to do and be their best. Key benefits include private health and group accident insurance, an Employee Assistance Program (EAP) for confidential support, and Loyalty Awards for long-service employees.
RLDatix is an equal opportunity employer, and our employment decisions are made without regard to race, color, religion, age, gender, national origin, disability, handicap, marital status or any other status or condition protected by law.
As part of RLDatix's commitment to the inclusion of all qualified individuals, we ensure that persons with disabilities are provided reasonable accommodation in the job application and interview process. If reasonable accommodation is needed to participate in either step, please don't hesitate to send a note to [email protected].
Salary offers are based on a wide range of factors including location, relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also taken into consideration.
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