Petrogate are exclusively working with an international client who has completed Series C funding and will be looking at IPO in the next year. Our team is at the heart of building this new venture, focused on developing offerings that put the customer at the centre. We have created a new organization and we are looking for solution-oriented, commercially minded, customer-focused engineers, used to working in an agile environment who want to be a part of building something new from the ground up within a diverse and inclusive team.
Culture is as important to us and we are looking for intellectually curious, new technology passionate individuals who would like to expand their skills whilst working on a new exciting venture for the firm. Your work will have a massive impact, both on us as a company, as well as our clients and our business partners around the world.
Summary
This role is within a green-field initiative and the ideal candidate will be actively involved in architecting, building, deploying and maintaining cloud-native, web-scale data science products.
Required Experience
Academic qualification in a computer science or STEM (science, technology, engineering or mathematics) related field or the foreign equivalent
Professional experience working in an agile, dynamic and customer facing environment
Recent hands-on professional experience (actively coding) working as an ML engineer, back-end software engineer or data engineer
Extensive knowledge of Python preferred (other OOP languages acceptable)
Understanding of distributed systems and cloud technologies (AWS, GCP, Azure, etc.)
Experience with containers and container-based deployment environment (Docker, Kubernetes, etc.)
Experience in automating deployment, releases and testing in continuous integration, continuous delivery pipelines
Understanding of (distributed and non-distributed) data structures, caching concepts, CAP theorem
Understanding of data streaming and messaging frameworks (Kafka, Spark Structured Streaming, Flink, etc.)
Understanding of relational databases and experience with SQL (any dialect)
Understanding of Spark framework and its deployment
Experience in all stages of software development lifecycle (requirements, design, architecture, development, testing, deployment, release and support)
Technical Qualifications
Experience with a scheduling system.
Experience with security frameworks / standards
Experience in distributed tracing and monitoring
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.