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Learnosity

Senior Software Engineer

Posted Yesterday
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In-Office
Dublin, IRL
Senior level
In-Office
Dublin, IRL
Senior level
Design, build, support, and architect backend-focused full-stack software for Learnosity AI Labs. Responsibilities include delivering products from ideation through release, planning and estimating work, collaborating with stakeholders, maintaining documentation, troubleshooting complex issues, and developing scalable solutions. The role requires strong Python web development, database, testing, backend architecture, and Agile experience, with preferred exposure to AI, data warehousing, AWS data technologies, Docker, React, CI/CD, and startup environments.
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Join the Future of EdTech with Learnosity AI Labs

Do you want to work with cutting-edge AI technology at scale, see first-hand the direct results of your work, and contribute to our mission to advance education and learning worldwide?
Join Learnosity’s newly formed AI Labs. Learnosity is the global leader in assessment solutions, providing experiences that are digital, dynamic, and designed to fit modern lifestyles and learning habits.

We are on the lookout for engineers, data scientists, analysts and product managers who are passionate about transforming the learning landscape through artificial intelligence.

This is not just a job; it's an invitation to be part of a revolution. Experience the thrill of a fast-growing, dynamic start-up environment with the stability and support of a well-established company. Be at the forefront of educational innovation, and make a positive difference to millions of learners worldwide. With over 40 million active learners and delivering 19 billion questions annually this is a genuine opportunity to make a significant impact. If you are ready to make a difference and drive the future of education, we want you on our team!

About Us

At Learnosity, we believe that education and learning opportunities should be equitable, inclusive, and accessible to all. Our mission is to advance education and learning worldwide with best-in-class technology.

About Learnosity AI Labs:

Our mission is to operationalize AI capabilities, enabling our customers to harness the power of AI to make positive impacts on education and learning. We move fast and lead market innovations, free from existing product complexities and corporate red tape.

What We Offer:

  • Innovative Culture: Work on groundbreaking AI projects that push the boundaries of educational technology.
  • Speed & Autonomy: Enjoy the freedom to make fast decisions and drive innovations with a direct impact.
  • Rewarding Career: Be part of a company where your contributions matter, with growth prioritized through continuous learning and leadership opportunities.
  • Collaborative Environment: Collaborate with a team of passionate, like-minded professionals in an inclusive and supportive workspace.

As this is a new team, working on brand new products, we are embracing the collaborative spirit of an onsite team, working together to drive success and innovation and bring new products to market quickly. We are targeting to be in-office 3 days a week.

Job Description

We’re looking for Backend focused Full Stack Engineers to join our team and help bring our AI product roadmap to fruition. If you:

  • Are passionate about using technology to have a massive impact in Education, and are excited about using AI to accelerate that mission.
  • Are eager to use innovative approaches to AI to find ways to answer the hard questions in education
  • Are eager to work with stakeholders across the business, from our CEO to key stakeholders in our product organization, to get things done
  • Know how to build and architect software to get from zero to released
  • Have a keen eye for how to prove out complex functionality with real data, and how to tweak and tune to get the best results
  • Are always eager to roll up your sleeves and dig in at all stages of the software and product lifecycle - from high level ideation, to working through user stories with the teams to get the product into the hands of users
  • Understand the flexibility needed to release product in the fastest-changing technology landscape that we’ve ever seen before

Then we’d love to talk with you!


RequirementsCore Goals and Responsibilities
  • Design, implement, modify, and support the development of software for
  • Learnosity’s AI Labs
  • Assist in task planning, estimation, and scheduling, work closely with other teams and management to deliver projects from inception to completion, and ensure documentation is kept up to date.
  • Determine root cause for complex software issues and develop practical, efficient, and permanent technical solutions.
Experience and SkillsMust have
  • An understanding and experience with agile frameworks and practices.
  • Good problem-solving skills with a proactive approach to identifying and resolving issues.
  • Experience working with Python on web frameworks (minimum of 8 years).
  • Experience with various database technologies (relational, nosql, document-oriented, etc) and query concepts in high performance environments
  • Experience writing unit and integration tests
  • Great knowledge of design patterns and back end architecture best practices
  • Excellent verbal and written communication skills, with the ability to tailor messages to various audiences.

It would be great if you had:

  • B.Sc or M.Sc degree in Software Engineering, Computer Science or similar
  • Commercial experience with AI tools and concepts, including machine learning and large language models
  • Experience with Data Warehousing techniques and technologies such as Snowflake, Amazon Redshift, Google BigQuery, and dimensional modeling concepts like Star and Snowflake schemas
  • Experience working with large volumes of data in S3 and Parquet
  • Experience with handling, processing, and filtering large volumes of data such as high-volume stream ingestion with Amazon Kinesis, distributed batch processing using Amazon EMR and AWS Glue, and query optimization on petabyte-scale data in Amazon Redshift and Amazon Athena
  • Experience with Docker
  • Experience with Frontend technologies, especially ReactJS and ShadCN
  • Experience of TDD
  • Experience of Spec Driven Development
  • Experience setting up or configuring CI/CD pipelines
  • Experience working in a startup environment (we are not a startup but are looking for our AI Labs teams to have a startup mindset)

BenefitsOur Values

We are a values-based company, and our 4 core values are the basis for how we work and what we do every day. Being a part of the Learnosity team means that you’ll get to join us in living out these values:

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

Being part of the Learnosity team is a commitment to push yourself and those around you to do better, constantly adapt and learn new techniques, and be able to apply yourself to any challenge, whether you’re just starting out or a veteran of the industry.

  • 25 days 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

At Learnosity, we are committed to fostering a diverse, inclusive, and equitable workplace where all employees feel valued and empowered. We believe that diversity of thought, background, and experience drives innovation and enriches our community. As a tech company in the education space, we are dedicated to creating educational solutions that reflect the diverse needs of our global audience.

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

Please see our Recruitment Privacy Policy

Salary & package dependent on experience.

Please only contact us if you are a candidate interested in applying for this role. You must have the right to live and work in Ireland to apply.

HQ

Learnosity Dublin, Dublin, IRL Office

42 Merrion Square E, Dublin, Ireland, D02 NP96

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