LE Senior CloudOps Engineer Learnosity · Dublin · Cloud €82,000 e 2w ago

Devopsroles; Dublin; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Annual leave

Milestone leave

Paid sick leave

Generous parental leave

Health & dental insurance

Pension contributions

Learning & development support

Employee Assistance Program

Flexible work practices

Commuter benefits

Modern city-centre office

Job summary

Learnosity, a global leader in AI-powered assessment, seeks a CloudOps/SRE to own and operate our cloud infrastructure supporting AI-first solutions. You will join a distributed team across engineering, product and design, driving reliability and scale.

You will implement automation, monitor performance and participate in incident response, ensuring high availability for millions of learners worldwide.

Qualifications

• 5+ years running large-scale production systems with ownership
• 3+ years building tooling for large-scale systems
• Experience in a global, distributed team environment
• Strong AWS, Python and container experience; on-call exposure

Responsibilities

• Build, maintain and improve cloud infrastructure on AWS to support AI-first products
• Automate deployments and operational tasks to improve reliability
• Monitor, troubleshoot and optimize system performance
• Collaborate with cross-functional teams for seamless product delivery
• Participate in on-call rotations and incident management
• Contribute to continuous improvement of infra and processes

Skills

Python

Docker

Shell scripting

Git

GitHub Actions

Tools

AWS

GitHub Actions

Docker

Git

Job description

Power the future of learning worldwide with Learnosity

Learnosity is looking for bright minds to help bring AI magic to real-world learning.

We’re looking for exceptional engineers, product thinkers, designers, data scientists, researchers, and AI specialists who want to do career-defining work with global impact.

Who we are

Learnosity 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.

And we want you to help drive our next wave of AI-led innovations.

Why Join Us?

Build 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.

Visibility & 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.

Pragmatic Innovation: Help shape how AI and other new technologies are applied where they deliver genuine value.

Build & Scale: Help shape new products while leveraging the platform, customers, and reach of an established global business.

Real Impact: Build systems and products that directly influence how millions of learners are assessed and supported worldwide.

Ownership & Collaboration: Take responsibility for your work while collaborating with experienced, thoughtful teammates across engineering, product, and design.

Growth & Development: Develop your career in an environment that values continuous learning, leadership and long-term growth.

If you’re motivated by building meaningful products at scale, and want to improve how people learn worldwide, we’d love to hear from you.

About Learnosity:

Learnosity 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.

What 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.

Our 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.

The Opportunity:

Join 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.

We 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.

The 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.

We 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.

Requirements

What You'll Do:

• Build, Maintain and improve a modern, highly available, scalable, and secure cloud infrastructure on AWS to support our next generation of AI-powered products.
• Use AI tools to empower your productivity and make you more successful
• Optimize system performance, troubleshoot complex issues, and implement proactive monitoring solutions.
• Automate infrastructure deployments and operational tasks to improve efficiency and reliability.
• Collaborate with cross-functional teams to ensure seamless integration and delivery of our products.
• Contribute to the continuous improvement of our infrastructure and operational processes.

Requirements:

• A proven track record of 5+ years managing large-scale production systems.
• At least 3+ years of experience developing solutions and improvements for large-scale systems.
• Experience working in a global, distributed team environment.
• Platform Engineering
• Strong proficiency in Python for scripting and automation tasks.
• Highly experienced with Docker and containerised applications and systems
• Proficiency in POSIX shell scripting, including skills in using awk, sed, grep, etc.
• Strong version control skills using Git.
• Experienced using GitHub Actions and Workflows
• Cloud Operations
• Advanced Linux skills including iptables, systemd, logging, application management, diagnosis, sysctl tweaking, etc.
• Strong experience with AWS services including EC2, ALB/NLB, VPCs, IAM, RDS, ECS, Route53, and CloudFront.
• Experience maintaining large-scale legacy systems and performing migrations.
• Experience with large-scale databases and database administration, ideally MariaDB & PostgreSQL on Amazon RDS
• Experienced with metrics/monitoring systems, ideally Datadog and CloudWatch.

Nice to Have:

• Strong networking background, including understanding of TCP/IP and routing protocols
• Experience in optimising database performance and resolving performance issues.

Benefits

Our Values

We are a values-driven company, and how we work matters as much as what we build:

• We live to learn
• We aim higher
• We do the right thing
• Our success is better shared

Benefits

• Annual leave
• Milestone leave
• Paid sick leave
• Generous parental leave
• Health & dental insurance
• Pension contributions
• Learning & development support
• Employee Assistance Program
• Flexible work practices
• Commuter benefits
• Modern city-centre office

Location & Working Style

This 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.

This 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.

Find out more about your career at Learnosity at learnosity.com/careers/

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