Senior AI DevOps Engineer

About the role

DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations. At DeepLight, we don't believe in "off-the-shelf" fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world. The Senior AI DevOps Engineer is a senior technical leadership position responsible for designing and implementing secure, scalable, and highly compliant cloud architectures across both Azure and AWS for core banking and AI platforms. Operating at the intersection of enterprise architecture and automated platform engineering, this role translates complex business requirements into robust high-level (HLD) and low-level designs (LLD). The successful candidate leads the institution's hybrid-cloud strategy, FinOps optimization, and zero-trust security implementations, ensuring all cloud-native platforms maintain absolute alignment with financial regulations (e.g., PCI-DSS, ISO/IEC 27001) while providing technical mentorship to engineering squads. You responsibilities within this role include: Hybrid Cloud Architectural Design: Architect and engineer secure, resilient multi-cloud infrastructures spanning Azure and AWS, creating comprehensive high-level and low-level technical designs. Security, Compliance & Governance: Implement enterprise-grade cloud governance frameworks, enforcing automated compliance-as-code and zero-trust network boundaries to meet strict financial regulatory baselines. FinOps & Resource Optimization: Establish cloud cost-management frameworks and resource optimization strategies to ensure high-performance infrastructure remains cost-effective. CI/CD & Pipeline Governance: Design and secure end-to-end multi-cloud deployment pipelines, embedding automated vulnerability gating, code auditing, and deployment compliance controls. Technical & Stakeholder Leadership: Act as a key technical advisor to senior business units and risk committees, defending architectural decisions and technical risk trade-offs clearly. Engineering Mentorship: Provide technical guidance and mentorship to mid-level engineering and development teams, driving best practices in infrastructure automation, cloud routing, and identity management. Senior leaders at DeepLight are responsible for delivering results and developing people. Utilising coaching skills to encourage and support growth whilst balancing the requirement for excellence in results. Coaching Growing future leaders through mentorship and feedback. Empowering your teams to think independently and learn continuously. Fostering a culture of curiosity, reflection, and resilience. Management Aligning strategy with execution and ensuring delivery excellence. Setting clear goals and objectives, driving accountability, and supporting performance. Leading with transparency, integrity, and trust. As an AI consultancy, our greatest asset is the expertise of our people. While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight. We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills. You will be the face of our firm, tasked with building trust, articulating the "why" behind your technical decisions, and effectively "selling" your vision to high-level stakeholders. If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in. We need you to have: In-depth technical architecture knowledge across both AWS and Azure environments, specifically touching identity ecosystems, serverless workloads, and database engines. Deep practical knowledge of designing architectures that strictly comply with banking standards such as PCI-DSS, ISO/IEC 27001, and local financial regulations. Advanced capability in drafting complex, modular, and reusable enterprise infrastructure templates utilizing tools like Terraform or Bicep. Proficiency in structuring secure network typologies, cloud-native firewalls, private service endpoints, and cross-cloud secure mesh routings. Exceptional capability to articulate abstract technical architectures into concrete business value summaries for senior non-technical leadership. A minimum of 8 years in infrastructure engineering, cloud operations, or systems architecture, with at least 3 years expli

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