{"id":1544055,"url":"https://alion.io/job/learnosity-senior-cloudops-engineer","title":"Senior CloudOps Engineer","company":{"id":1859164,"name":"Learnosity","domain":"learnosity.com","url":"https://alion.io/company/learnosity-com","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","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":73000,"max_usd":146000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":10},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"AWS","optional":false},{"name":"CloudFormation","optional":false},{"name":"Datadog","optional":false},{"name":"Docker","optional":false},{"name":"Edge AI","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Graylog","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"MariaDB","optional":false},{"name":"PHP","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false},{"name":"TCP/IP","optional":true}],"status":"live","first_seen_at":"2026-09-28T00:00:00Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-05T03:28:19Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Power the future of learning worldwide with Learnosity\nLearnosity is looking for bright minds to help bring AI magic to real-world learning.\nWe’re looking for exceptional engineers, product thinkers, designers, data scientists, researchers, and AI specialists who want to do career-defining work with global impact.\nWho we are\nLearnosity is the global leader in assessment solutions. We provide experiences that are digital, dynamic, and designed to meet the needs of modern learners to test and prove knowledge. Our technology powers assessment for hundreds of organizations of all sizes and reaches over 40 million learners every year.\nAnd we want you to help drive our next wave of AI-led innovations.\nWhy Join Us?\nBuild from Zero to One: Join us at the most exciting stage of our journey: the very beginning. As a PM for a brand new solution, you’ll own the entire product lifecycle, in an environment where your decisions directly shape the future of the business.\nVisibility & Influence: Operate in an environment where there’s minimal distance between ideas and decision-making, with direct access to senior leadership and the ability to shape meaningful outcomes.\nPragmatic Innovation: Help shape how AI and other new technologies are applied where they deliver genuine value.\nBuild & Scale: Help shape new products while leveraging the platform, customers, and reach of an established global business.\nReal Impact: Build systems and products that directly influence how millions of learners are assessed and supported worldwide.\nOwnership & Collaboration: Take responsibility for your work while collaborating with experienced, thoughtful teammates across engineering, product, and design.\nGrowth & Development: Develop your career in an environment that values continuous learning, leadership and long-term growth.\nIf you’re motivated by building meaningful products at scale, and want to improve how people learn worldwide, we’d love to hear from you.\nAbout Learnosity:\nLearnosity stands at the forefront of the EdTech industry, empowering assessment providers and learners worldwide. We're not just a technology company but a force for positive change in education. Our cutting-edge AI-enhanced assessment solutions power over 40 million active learners, processing an astounding 24 billion test questions annually. This scale underscores our commitment to delivering robust, reliable, and innovative technology that truly impacts learning outcomes.\nWhat sets Learnosity apart is our dedication to bridging the 'assessment excellence gap' in the digital age. We understand that traditional assessment methods often fall short in today's rapidly evolving learning landscape. That's why we've developed a dynamic assessment engine that enables faster product launches, breakthrough capabilities, on-demand scaling, and continuous innovation.\nOur roots trace back to a shared passion for equitable and inclusive learning, and this ethos remains at the heart of our mission. We believe that education is a human right and are committed to making learning opportunities accessible to all. At Learnosity, you'll be part of a team that's pushing the boundaries of technology and contributing to a more equitable and effective education system.\nThe Opportunity:\nJoin our global team and play a pivotal role in building and maintaining the infrastructure that powers our innovative AI-first assessment solutions. This is more than just a job; it's an opportunity to contribute to a mission-driven company that's making a real difference in education. This hybrid role combines building and developing solutions to improve the platform plus supporting and maintaining the live system.\nWe run the AWS infrastructure behind Learnosity's assessment platform across five regions. Millions of learners sit assessments on it, mostly during school hours, so our peak load is somebody's exam and our outages are somebody's exam too. This is SRE work in the real sense: you will build and improve the platform and you will also carry it. If you want pure greenfield platform work with no operational responsibility, this is not that job. If you want to sit in a ticket queue and never write code, it is not that job either.\nThe estate, so you know what you are walking into: AWS across EC2, ALB/NLB, VPC, IAM, RDS, ECS, Route53, CloudFront and SSM, built in CloudFormation and released as blue/green stack swaps. Configuration management in Salt. MariaDB and PostgreSQL on RDS at a size where query plans matter, plus Redshift behind a data warehouse pipeline. Datadog for metrics, monitors and SLOs, Graylog for logs with a cluster per region, incident.io for incidents. Tooling in Python with POSIX shell where shell is the right answer, CI in GitHub Actions. A real amount of legacy under active migration, and platform services largely in PHP that you will read to find out why a request died. No Terraform and no Kubernetes. We also use AI agents against production telemetry as part of normal operations, reading logs, metrics, tickets and code during live investigations, and we expect you to improve that tooling rather than just consume it.\nWe need 5+ years running large-scale production systems with genuine ownership rather than escalation-only exposure, 3+ years building your own tooling at that scale, advanced Linux diagnosis on a live host, strong AWS, strong Python, and hands-on administration of large relational databases. That last one is core to the role, not a bonus. Comfort with legacy systems and migrations matters, because much of the value here is careful work on things you did not build. Networking depth, database performance tuning and container experience are all welcome extras. On-call, straight answer: for your first year it is aligned to your working hours while you learn an estate that took the rest of us years to learn. After that you join the standard rotation of one week in four, 24/7, shared across a distributed team.\nRequirements\nWhat You'll Do:\nBuild, Maintain and improve a modern, highly available, scalable, and secure cloud infrastructure on AWS to support our next generation of AI-powered products.\nUse AI tools to empower your productivity and make you more successful\nOptimize system performance, troubleshoot complex issues, and implement proactive monitoring solutions.\nAutomate infrastructure deployments and operational tasks to improve efficiency and reliability.\nCollaborate with cross-functional teams to ensure seamless integration and delivery of our products.\nContribute to the continuous improvement of our infrastructure and operational processes.\nRequirements:\nA proven track record of 5+ years managing large-scale production systems.\nAt least 3+ years of experience developing solutions and improvements for large-scale systems.\nExperience working in a global, distributed team environment.\nPlatform Engineering\nStrong proficiency in Python for scripting and automation tasks.\nHighly experienced with Docker and containerised applications and systems\nProficiency in POSIX shell scripting, including skills in using awk, sed, grep, etc.\nStrong version control skills using Git.\nExperienced using GitHub Actions and Workflows\nCloud Operations\nAdvanced Linux skills including iptables, systemd, logging, application management, diagnosis, sysctl tweaking, etc.\nStrong experience with AWS services including EC2, ALB/NLB, VPCs, IAM, RDS, ECS, Route53, and CloudFront.\nExperience maintaining large-scale legacy systems and performing migrations.\nExperience with large-scale databases and database administration, ideally MariaDB & PostgreSQL on Amazon RDS\nExperienced with metrics/monitoring systems, ideally Datadog and CloudWatch.\nNice to Have:\nStrong networking background, including understanding of TCP/IP and routing protocols\nExperience in optimising database performance and resolving performance issues.\nBenefits\nOur Values\nWe are a values-driven company, and how we work matters as much as what we build:\nWe live to learn\nWe aim higher\nWe do the right thing\nOur success is better shared\nBenefits\nAnnual leave \nMilestone leave\nPaid sick leave\nGenerous parental leave\nHealth & dental insurance\nPension contributions\nLearning & development support\nEmployee Assistance Program\nFlexible work practices\nCommuter benefits\nModern city-centre office\nLocation & Working Style\nThis role is based in our Dublin office. We value the creativity, collaboration and stronger connections that come from working together in person, and expect employees in this role to work from the office at least two days each week.\nThis role includes participation in a shared on call roster once onboarding and training are complete. The roster is shared across the global CloudOps team, with the current rotation typically requiring one week on call every four to six weeks to support production systems outside normal working hours.\nFind out more about your career at Learnosity at learnosity.com/careers/\nPlease see our Recruitment Privacy Policy\nSalary & package dependent on experience.\nPlease only contact us if you are a candidate interested in applying for this role. 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