Daxx is looking for an SDET/AQA Engineer (Python) for the Data Platform team at Exabeam.
You will be a part of an Exabeam, a global cybersecurity leader, that utilises Big Data and machine learning to detect advanced security threats. This is a SaaS, multi-tenant, microservices-based, Cloud Native solution that will ingest and process in real-time petabytes of data.
Our team, Data Platform, is responsible for collecting logs via several cloud-based collector types, delivering terabytes of data into our system, storing them, parsing and enriching, and providing general reports before sending further for deep analytics. As part of the Data Platform team, you will have the opportunity to design and implement solutions in various areas including data collection and ingestion, data pipeline, data processing, reporting, storing, etc. You will also have the opportunity to be responsible for some of our microservices, contribute to all aspects of product definition and system architecture.
You are an enthusiastic engineer who is passionate about large-scale systems and ready to dive deeply into a SaaS, multi-tenant, microservices-based, Cloud Native (Kubernetes) application that ingests and processes in real-time petabytes of data.
You care about producing clean, elegant, maintainable, robust code.
You enjoy collaborating with others to come up collectively with the best possible solution.
You have experience with building automation tests and libraries, and to work jointly with the development team in this large-scale reactive distributed system.
Given the big data and microservice architecture nature of the project, you are ready to work on automating testing of microservices, automating end-to-end scenarios, and automating the execution, data collection, and analysis of metrics and performance data.
You are ready to demonstrate proactiveness, responsibility, inquisitiveness, self-motivation, readiness to speak up when there’s a problem and give a hand to team members when needed.
You are a person who knows the entire system from start to end and works within the development team on every stage of a project, being involved in every step of the software development process and able to create testing strategies working with the team.
4+ years of QA experience including at least 2,5 years of automation
Able to write efficient and maintainable Python code. Java knowledge is a plus.
Hands-on experience in implementing tests, frameworks, libraries to deliver testing of large scale SaaS/Cloud offering with a high level of scalability, performance, reliability.
Experience with testing and scaling backend systems (REST, gRPC, Kafka, Nats interfaces).
Strong experience with automation tools/frameworks such as Robot Framework/Cucumber, Selenium, requests, Postman/Newman, JMeter, py.test, Katalon Studio.
Strong experience with CI/CD and integration tools such as Jenkins, Bamboo, Hudson, etc.
Strong working knowledge of software quality assurance methodologies and be well versed in the various types of tests.
Experience in performance testing, automated generation of test data, etc.
Readiness to dive deep into requirements and guidelines for the products and become its SME.
Experience with cloud-native technologies and using cloud services (GCP, AWS).
Version Control Systems experience (Git preferred). Knowledge of CI/CD and experience with Jenkins Pipelines.
Ideally, experience with big data systems.
Will be a plus
Experience in common monitoring/metric software (DataDog, Prometheus).
Hands-on in writing unit-, performance and SI tests.
Experience with distributed data processing system and data pipeline, including but not limited to BigData/ELK/Spark/Kafka/Akka.
Direct cooperation with the customer
Business trips to the US
Competitive salary, regular performance reviews
20 vacation days
Medical insurance, 10 paid sick leaves per year
Dedicated HR/Client Manager
Paid online courses, own training program and library
Full accounting support
Remote work opportunity with business trips to Kyiv when required