Job Description

Job Description:

The Opportunity
We are looking for a Software Engineer to work in an agile environment on our Conversations product which offers a continuous performance development solution with a full spectrum of feedback, check-ins, priorities and reflections to develop the talent of any team.
You will be joining our squad - Lumos. Lumos' mission is two-fold, we want to win when it comes to performance development by providing a platform that solves enterprise pain points for performance reviews and focuses on delighting HR teams around the world. We also want to serve our product development teams by finding ways to improve process and strive for improvements to help us deliver value better than we can today.​
 

What we can offer you

  • An opportunity to work with a highly skilled, motivated, and personable team.

  • An opportunity to continuously deliver solutions to enable managers and employees to have better, more meaningful, continuous conversations facilitating an employee’s learning, development and performance growth as well as improve the manager-employee relationship.

  • An opportunity to partner with Product and Engineering to take ideas from design, implementation and through to delivery to production.

  • An opportunity to collaborate with other teams to optimise our practices, standards and platform.

  • An opportunity to work in a trusting environment where all ideas are shared and valued and where we practice radical candour.

    • The Skills you will bring

  • You are curious, adaptable, inquisitive and strive for excellence in the work you do, always putting quality first. 

  • You develop in accordance with software engineering best practices and quality standards. 

  • You have an agile mindset, valuing collaboration, continuous improvement, adaptability and flexibility.

  • You are familiar with Infrastructure as Code tools such as Terraform and CI/CD best practices. 

  • You are autonomous, driven and a fast learner. 

  • You are a strong communicator. 

  • You have good Database modelling experience with SQL or NoSQL databases. 

    • Achievements

  • You have delivered high quality enterprise applications with Java and Spring. 

  • You have knowledge on Serverless computing and Python language.

  • You have connected services and systems through HTTP API and Event-based communication.

  • You have built and deployed cloud-native applications, preferably in AWS.

  •  You have worked in an early-stage product development environment and are familiar with hypothesis testing.

  • You have worked delivering production code in partnership with AI tools and/or improved delivery process achieving higher delivery throughput.

  • You have built and deployed production-grade ML systems and/or enhanced MLOps pipelines to improve model reliability, scalability, and delivery throughput - Nice to have
     

    • Tech stack

    AWS, Java 17, Spring, Oracle, Postgres, GitLab, Jenkins, Sonar, Maven, Terraform, Docker/Containerisation, Kafka, Prompt engineering, AI code assistant (Copilot/Amazon Q/Tabnine/Claude),

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