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AI DevOps Engineer

Citco -
Dublin, County Dublin

Apply Now

Job details

Full-time
1 day ago

Qualifications

Jira
CI/CD
Power BI
Computer Science
DevOps
Encryption
System design
Git
Tableau
Bash (Unix shell)
AWS
Docker
Bachelor's degree
Continuous improvement
Confluence
Distributed systems
Scripting
Agile
S3
Communication skills
Python

Full job description

About the Role:

The Senior DevOps Engineer will be a key member of the Artificial Intelligence team and will play an integral role in designing, building, delivering and scaling AI-enabled systems and processes to improve business processes and decision-making capabilities. The DevOps Engineer will work within the development team and with Process Design team, Process Adoption team and Business unit representatives to transform, optimize and digitize operational processes in order to deliver bottom-line value and results for Citco.

About the Artificial Intelligence Team:

The Artificial Intelligence team is multi-disciplinary team charged with identifying, building and deploying operational AI-enabled solutions leveraging a suite of emerging technologies, such as Machine Learning, Natural Language Processing, Computer Vision, Large Language Models, generative models, and multi-agent systems.

Job Duties

Design, develop, and implement scalable cloud infrastructure and applications using AWS services .
Architect and maintain solution designs aligned with business and operational requirements, ensuring scalability, performance, and reliability.
Build, configure, and manage CI/CD and DevOps pipelines (e.g., CodePipeline, CodeBuild, CodeDeploy) to enable efficient and automated software delivery.
Work extensively with AWS core services , including CloudFormation, EC2, ECS/Docker, ELB, Lambda, RDS, S3, IAM, CloudWatch, and Git-based repositories.
Create and maintain architecture diagrams, technical documentation, and operational playbooks .
Design and optimize data pipelines and infrastructure , improving performance, scalability, and efficiency.
Ensure systems are built with strong security measures , including access controls, encryption, and compliance standards.
Establish and maintain resilience and recovery strategies , including backups, disaster recovery, and high availability.
Perform code reviews and enforce coding standards and DevOps best practices.
Collaborate with engineering, operations, and business teams to align infrastructure with organizational goals .
Participate in Agile ceremonies (stand-ups, backlog grooming, sprint reviews, retrospectives) and follow Agile development practices.
Support testing and automation efforts to ensure reliability and quality of deployments.
Evaluate new technologies and contribute to technology strategy and continuous improvement initiatives .

Key Competencies

Deep expertise in AWS cloud architecture and services .
Strong knowledge of solution architecture and system design , including building and scaling distributed systems.
Proficiency in CI/CD pipelines and DevOps tooling , with a focus on automation and efficiency.
Strong understanding of security best practices, risk management, and recovery mechanisms (e.g., disaster recovery, high availability).
High level of technical knowledge combined with commercial acumen to align engineering decisions with business outcomes.
Excellent analytical thinking and problem-solving skills .
Strong communication and teamwork abilities , with the capacity to collaborate across technical and business teams.
Demonstrated drive for results , delivering high-quality solutions in fast-paced environments.
High degree of adaptability in working with evolving technologies and changing priorities.
Experience with architecture diagramming tools (e.g., Draw.io, Lucidchart).

About You

Bachelor’s degree in Mathematics, Computer Science, Information Systems , or a related field.
You are a systems thinker who designs solutions for scalability, resilience, and performance .
Strong combination of technical depth and hands-on delivery experience in cloud and DevOps environments.
Proven experience working with AWS cloud infrastructure and services , including building serverless and containerized applications .
Proficiency in Python and Bash/Shell scripting for automation and tooling.
Hands-on experience with CI/CD pipelines , DevOps tools, and deployment automation.
Experience building and integrating APIs and working with event-driven microservices architectures .
Comfortable working with large volumes of structured and unstructured data .
Strong focus on automation, efficiency, reliability, and operational excellence .
Ability to work independently while collaborating effectively across cross-functional teams.
Excellent communication skills , with the ability to clearly explain complex technical architectures to diverse stakeholders.
You stay current with emerging cloud and DevOps technologies , continuously improving your skillset.

Preferred / Assets

Knowledge of financial products and Hedge Fund Administration .
Understanding of Agile project management practices .
Experience with Jira and Confluence .
Familiarity with BI tools (Tableau, Qlik, Power BI).
Exposure to NLP, LLMs, or Machine Learning technologies .

What We Offer:

A challenging and rewarding role in an award-winning global business
Opportunities for personal and professional career development
Great working environment, competitive salary and benefits, and opportunities for educational support
Be part of an industry leading global team, renowned for excellence

Apply Now

Refine Your Search

sr machine learning engineer jobs

AI DevOps Engineer

Senior SDK Software Tools Engineer

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Principal Data Scientist

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AI & Data - Applied AI Delivery Architect - Senior Manager

Software Engineering Architect

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Enterprise Account Executive, Growth & Acquisition

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