Senior Platform Engineer

About Recruitbyme

Recruitbyme is a company that helps our clients in the areas; recruitment, staffing and training, we are headquartered in pleasant premises at Teknikparken in Gävle and work with assignments all over the country. The company was founded in 2021 by Mats Andersson, who has over 20 years of experience in the above areas.


Climate-smart
When it comes to working with sustainability, we take responsibility for reducing global warming, which means that we use climate-smart transport trips to reduce our climate footprint, and that we ensure that all our meetings take place digitally, we work towards the global goals 3, 5, 8, 13 and 16.


Inclusion
Recruitbyme also works with inclusion in all our appointments and sees the unique core competence behind CV.et We simply call it competence-focused inclusion, which does not take into account aspects such as age, gender, ethnicity or sexual orientation.


About the employment
For this assignment, you will be hired out via Recruitbyme to our partner and its end customer. Which means that you will be employed by us and we take full employer responsibility.


For our client, we are looking for a Senior Platform Engineer.


Job Description: 


Responsibilities:


As a Senior Platform Engineer in the ML Platform team, your mission is to work alongside other platform engineers in the team to develop world-class machine learning platform products. These products enable ML Product teams to follow organizational standards, to improve their efficiency and to reduce their time to production. Your responsibility will be engineering focused, with the aim of providing solutions for ML Product teams. These solutions include continuous integration and development workflows, model training pipelines, model serving and monitoring solutions, and reusable libraries. In additional, you will also be able to develop different technical enablement to enable large scale machine learning solutions,


Furthermore, you will:


work together in an Agile team, designing and developing ML Platform solutions
develop different reusable technical enablement to speed up Advanced Analytics and AI product development, for example automate machine learning model training, lifecycle management of machine learning model, advanced data profiling and much more
leverage the understanding of software architecture and software design patterns to write scalable, maintainable, well-designed and future-proof software



Qualifications:


The journey will lead to something new and exciting - testing, failing, and learning along the way. As an important player in this transformation, adaptability, open-mindedness, and the ability to work in a flexible environment with a non-prestigious approach are essential. The focus is more on opportunities and solutions rather than problems. Furthermore, it is believed you are:


An experienced software developer (5-10 years) with strong mindset of building scalable and high-quality software product. You understand the challenge of design and implementation of large scale distributed system
Passionate about distributed computing and machine learning technology.
Excellent in programming in Python. Not only familiar with language itself, but also fully aware of best practices, code structure, design patterns, development workflow, testing etc.
You passionately test your code and follow test-driven development
Hands on experience in DevOps and automate software development process, like familiar with tools like Jenkins, Docker and Kubernetes, etc.
Experienced in at least one of cloud solution like AWS, Azure or GCP (Preferably GCP).
You probably have developed machine learning application previously, or at least interested with machine learning and data science
A great team player in an Agile team setup, willing to take different kinds of tasks to meet sprint commitment and to reach our goal together
Fluent in English


Necessary Skill: GCP, AWS, Kubernetes, Docker, Python, Azure, Jenkins, Devops

Språk: Svenska(Expert), Engelska(Expert)
Plats: Stockholm (SE)
Distansarbete: 100%
Time period: 01 jul 2024- 31 dec 2025