Since its founding, Intuition Machines has been on the forefront of innovation, leveraging and developing new technologies to solve complex problems. Our team, composed of leading researchers and developers, are constantly innovating toward an improved future fueled by the promise of privacy, security, and performance. We work in a casual and fast-paced environment, with a team distributed around the world, hundreds of millions of users, and a rapidly growing customer base and product suite.
Join us as we transform security and machine learning online.
As a Lead Data Engineer you will be responsible for technical leadership of data engineering projects. You will do that by designing and improving high throughput data pipelines, promoting best practices in terms of high performance data processing, infrastructure setup and development process. You will have the ability to shape the data engineering capabilities for state of the art, large scale security and machine learning products.
What will you do:
- Lead the data engineering initiatives and projects
- Design, document and build scalable data infrastructure
- Collaborate with software engineers, ML engineers, product managers and growth teams
- Set up data quality, monitoring and alerting infrastructure
- Ensure high performance and availability of our data infrastructure
What we are looking for:
- Proven experience in designing and implementing end to end data solutions (+5 years of experience)
- Strong python programming skills with emphasis on clean, readable and testable code
- Experience with high throughput data systems and streaming architectures
- Experience working with Kafka infrastructure and applications
- Solid understanding of OLAP databases (preferably Clickhouse)
- Hands on experience with Kubernetes
- Familiarity with public cloud providers (AWS or Azure)
Nice to haves:
- Familiarity with security frameworks, attack vectors, botnets
- Experience working with IaC and GitOps solutions
- Experience with monitoring, observability and data quality tools
- Experience with exploratory data analysis and data science solutions
What do we offer:
- Ability to work with cutting-edge technology
- Fully remote position with flexible working hours #Li-remote
- An inspiring team spread all over the world
- A unique chance of being a part of #hCaptcha revolution
Since its founding, Intuition Machines has been on the forefront of innovation, leveraging and developing new technologies to solve complex problems. Our team, composed of leading researchers and developers, are constantly innovating toward an improved future fueled by the promise of privacy, security, and performance. We work in a casual and fast-paced environment, with a team distributed around the world, hundreds of millions of users, and a rapidly growing customer base and product suite.
Join us as we transform security and machine learning online.
As a Lead Data Engineer you will be responsible for technical leadership of data engineering projects. You will do that by designing and improving high throughput data pipelines, promoting best practices in terms of high performance data processing, infrastructure setup and development process. You will have the ability to shape the data engineering capabilities for state of the art, large scale security and machine learning products.
- Lead the data engineering initiatives and projects
- Design, document and build scalable data infrastructure
- Collaborate with software engineers, ML engineers, product managers and growth teams
- Set up data quality, monitoring and alerting infrastructure
- Ensure high performance and availability of our data infrastructure
- Proven experience in designing and implementing end to end data solutions (+5 years of experience)
- Strong python programming skills with emphasis on clean, readable and testable code
- Experience with high throughput data systems and streaming architectures
- Experience working with Kafka infrastructure and applications
- Solid understanding of OLAP databases (preferably Clickhouse)
- Hands on experience with Kubernetes
- Familiarity with public cloud providers (AWS or Azure)
- Familiarity with security frameworks, attack vectors, botnets
- Experience working with IaC and GitOps solutions
- Experience with monitoring, observability and data quality tools
- Experience with exploratory data analysis and data science solutions
- Ability to work with cutting-edge technology
- Fully remote position with flexible working hours #Li-remote
- An inspiring team spread all over the world
- A unique chance of being a part of #hCaptcha revolution
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