Roles:
Backend
Must-have skills:
Python
One of skills:
DockerKubernetes
Nice-to-have skills:
AWSElasticsearchKafka
Considering candidates from:
Portugal
Portugal
Work arrangement: Hybrid or onsite
Industry: Data Infrastructure and Analytics
Language: English
Level: Senior
Required experience: 5+ years
Relocation: Not paid
Visa support: Not provided
Size: 51 - 200 employees
Company
Shield is a fast-growing start-up who are solving complex challenges for financial enterprises, using a blend of regulatory expertise, and technology, sprinkled with some artificial intelligence.
Their advanced end-to-end communications compliance platform that allows organizations of any size to mitigate risks, escape data silos, improve operational efficiency, and reduce compliance costs. Shield redefines the way enterprises manage and mitigate communications compliance risks by applying advanced AI, NLP, and visualization capabilities.
Their advanced end-to-end communications compliance platform that allows organizations of any size to mitigate risks, escape data silos, improve operational efficiency, and reduce compliance costs. Shield redefines the way enterprises manage and mitigate communications compliance risks by applying advanced AI, NLP, and visualization capabilities.
Description
Tasks:
- Bring innovation and develop the brain of the product
- Develop new products and improve existing ones with Python
- Perform unit testing and build CI/CD pipelines
- Work in the containerization environment of Kubernetes and Docker
Must-have:
- 4+ years of Python programming experience
- Background in Linux and containerized environments, such as Kubernetes or Docker
- Experience with AWS
- Experience with the following tools: ElasticSearch, RabbitMQ, Kafka
- Experience with unit testing and CI/CD
- Self-motivated, team player, action and results-oriented
- Well-organized, good communication and reporting skills
- Proficient English level
Nice-to-have:
- Software architecture experience
- Experience in working in a production environment and with Data Science teams
Benefits and conditions:
- Trial period: 4 months
- Health Insurance (covers dentist and general medicine)
- Daily meals compensation
- Paid leaves and public holidays
- Access to the UDEMY training platform with different courses
- Hybrid working model (3 days at home)
Interview process:
- Intro call with Toughbyte
- Interview with a hiring manager
- Technical interview with the solution architect (technical questions)
- Two short interviews – HR interview + interview with the VP of Data Science
- Onsite meeting at the office