{"id":1219849,"url":"https://alion.io/job/citco-ai-devops-engineer","title":"AI DevOps Engineer","company":{"id":1907202,"name":"Citco","domain":"citco.com","url":"https://alion.io/company/citco","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":75,"open_postings":74,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-27T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dublin, Ireland"],"countries":["IE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":81000,"max_usd":180000,"period":"year","method":"role_country_seniority_unknown","sample_n":16},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Bash","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Computer Vision","optional":false},{"name":"Confluence","optional":false},{"name":"Docker","optional":false},{"name":"Draw.io","optional":false},{"name":"Git","optional":false},{"name":"IAM","optional":false},{"name":"Jira","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"NLP","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-06-23T08:25:10Z","employer_posted_date":"2026-06-23","last_verified_at":"2026-09-28T04:01:06Z","board_verified":true,"closed_at":null,"days_open":96,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":96},"description":"About the Role:\nThe 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.\nAbout the Artificial Intelligence Team:\nThe 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.\n Job Duties\nDesign, develop, and implement scalable cloud infrastructure and applications using AWS services.\nArchitect and maintain solution designs aligned with business and operational requirements, ensuring scalability, performance, and reliability.\nBuild, configure, and manage CI/CD and DevOps pipelines (e.g., CodePipeline, CodeBuild, CodeDeploy) to enable efficient and automated software delivery.\nWork extensively with AWS core services, including CloudFormation, EC2, ECS/Docker, ELB, Lambda, RDS, S3, IAM, CloudWatch, and Git-based repositories.\nCreate and maintain architecture diagrams, technical documentation, and operational playbooks.\nDesign and optimize data pipelines and infrastructure, improving performance, scalability, and efficiency.\nEnsure systems are built with strong security measures, including access controls, encryption, and compliance standards.\nEstablish and maintain resilience and recovery strategies, including backups, disaster recovery, and high availability.\nPerform code reviews and enforce coding standards and DevOps best practices.\nCollaborate with engineering, operations, and business teams to align infrastructure with organizational goals.\nParticipate in Agile ceremonies (stand-ups, backlog grooming, sprint reviews, retrospectives) and follow Agile development practices.\nSupport testing and automation efforts to ensure reliability and quality of deployments.\nEvaluate new technologies and contribute to technology strategy and continuous improvement initiatives.\nKey Competencies\nDeep expertise in AWS cloud architecture and services.\nStrong knowledge of solution architecture and system design, including building and scaling distributed systems.\nProficiency in CI/CD pipelines and DevOps tooling, with a focus on automation and efficiency.\nStrong understanding of security best practices, risk management, and recovery mechanisms (e.g., disaster recovery, high availability).\nHigh level of technical knowledge combined with commercial acumen to align engineering decisions with business outcomes.\nExcellent analytical thinking and problem-solving skills.\nStrong communication and teamwork abilities, with the capacity to collaborate across technical and business teams.\nDemonstrated drive for results, delivering high-quality solutions in fast-paced environments.\nHigh degree of adaptability in working with evolving technologies and changing priorities.\nExperience with architecture diagramming tools (e.g., Draw.io, Lucidchart).\n About You\nBachelor’s degree in Mathematics, Computer Science, Information Systems, or a related field.\nYou are a systems thinker who designs solutions for scalability, resilience, and performance.\nStrong combination of technical depth and hands-on delivery experience in cloud and DevOps environments.\nProven experience working with AWS cloud infrastructure and services, including building serverless and containerized applications.\nProficiency in Python and Bash/Shell scripting for automation and tooling.\nHands-on experience with CI/CD pipelines, DevOps tools, and deployment automation.\nExperience building and integrating APIs and working with event-driven microservices architectures.\nComfortable working with large volumes of structured and unstructured data.\nStrong focus on automation, efficiency, reliability, and operational excellence.\nAbility to work independently while collaborating effectively across cross-functional teams.\nExcellent communication skills, with the ability to clearly explain complex technical architectures to diverse stakeholders.\nYou stay current with emerging cloud and DevOps technologies, continuously improving your skillset.\nPreferred / Assets\nKnowledge of financial products and Hedge Fund Administration.\nUnderstanding of Agile project management practices.\nExperience with Jira and Confluence.\nFamiliarity with BI tools (Tableau, Qlik, Power BI).\nExposure toNLP, LLMs, or Machine Learning technologies.\nWhat We Offer:\nA challenging and rewarding role in an award-winning global business \nOpportunities for personal and professional career development \nGreat working environment, competitive salary and benefits, and opportunities for educational support \nBe part of an industry leading global team, renowned for 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