Senior AI DevOps Engineer
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Key skills for this role
About the Role
DeepLight AI is seeking a Senior AI DevOps Engineer to design and implement secure, scalable cloud architectures on Azure and AWS for core banking and AI platforms. The role requires 8+ years of experience, deep knowledge of multi-cloud environments, and expertise in compliance with financial regulations.
Key Skills for This Role
Responsibilities
- Architect and engineer secure, resilient multi cloud infrastructures spanning Azure and AWS, creating comprehensive high level and low level technical designs
- Implement enterprise grade cloud governance frameworks, enforcing automated compliance as code and zero trust network boundaries to meet strict financial regulatory baselines
- Establish cloud cost management frameworks and resource optimization strategies to ensure high performance infrastructure remains cost effective
- Design and secure end to end multi cloud deployment pipelines, embedding automated vulnerability gating, code auditing, and deployment compliance controls
- Act as a key technical advisor to senior business units and risk committees, defending architectural decisions and technical risk trade offs clearly
- Provide technical guidance and mentorship to mid level engineering and development teams, driving best practices in infrastructure automation, cloud routing, and identity management
Requirements
- In depth technical architecture knowledge across both AWS and Azure environments
- Deep practical knowledge of designing architectures that 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 using 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 as a Senior Engineer or Tech Lead across dual cloud environments
- Documented experience designing and engineering automated infrastructure within a regulated tier 1 or tier 2 banking or insurance institution
- A proven track record of authoring, defending, and delivering production ready High Level Designs (HLDs) and Low Level Designs (LLDs) to corporate architecture boards
- Experience directing technical workloads, establishing engineering velocity metrics, and upskilling cross functional platform delivery squads
Full Job Posting
Company Overview
- 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.
Role Overview
- 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.
Responsibilities
- 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.
Requirements
- 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 explicitly spent operating as a Senior Engineer or Tech Lead across dual cloud environments.
- Documented experience designing and engineering automated infrastructure within a regulated tier 1 or tier 2 banking or insurance institution.
- A proven track record of authoring, defending, and delivering production ready High Level Designs (HLDs) and Low Level Designs (LLDs) to corporate architecture boards.
- Experience directing technical workloads, establishing engineering velocity metrics, and upskilling cross functional platform delivery squads.
Benefits
- Competitive salary.
- Comprehensive personal health insurance.
- Visa Sponsorship for the successful individual.
- Professional development and certification support.
- Subscription reimbursement relating to your role.
- Opportunity to work on cutting edge AI projects.
- Monthly Employee Incentive program.
- Career advancement opportunities in a rapidly growing AI company.
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