Senior Software Engineer
2 weeks ago
Note:. We are hiring for this role remotely in any country ClickHouse has a hiring presence.
Our Integrations Team plays a critical role in driving the growth of our company and ensuring the success of our clients by seamlessly onboarding and integrating data from diverse data sources into ClickHouse. Working at a petabyte scale and in high-velocity environments, this role offers an exceptional opportunity to solve challenging technical problems, operate with significant autonomy, and make a measurable impact.
As a member of this team, you'll collaborate with talented engineers to design, build, and optimize responsive and scalable cloud-based services that form the backbone of our technology. You'll engage with customers and partners to design solutions that can reliably handle the velocity and scale of modern data ecosystems. This role is ideal for individuals with an outcome driven mindset, who are impact-driven, thrive in dynamic environments, and excel at creative problem-solving.
What You'll Do:- Build Scalable Systems: Design and develop a high-performance data onboarding platform capable of handling petabytes of data in real-time.
- Integrate Diverse Datastores: Build robust integrations with a variety of data sources (e.g., MySQL, Mongo, Iceberg), data storages (e.g., Snowflake, Redshift, ClickHouse), and object storages (e.g., S3, GCS).
- Leverage ClickHouse: Create solutions that enable users to fully harness ClickHouse's exceptional performance and throughput.
- Collaborate Across Teams: Work closely with internal teams to ensure the platform aligns with customer needs and business objectives.
- Drive Innovation: Lead and influence technical discussions, continuously identifying and implementing improvements.
- Experience: 5+ years of industry experience building high-scale, data-intensive software solutions.
- Expertise: Proficient in Golang (preferred) or Java, with deep experience in distributed systems and microservices architecture.
- Data Engineering Skills: Strong background in designing and implementing robust ETL pipelines and an understanding of data replication methodologies such as CDC.
- Cloud-Native Proficiency: Solid experience with cloud-native architecture and infrastructure, with hands-on knowledge of at least one major CSP.
- Kubernetes: Practical experience with Kubernetes (K8s), including debugging and managing distributed systems at scale.
- Problem Solver: Exceptional production debugging skills, with the ability to navigate and solve complex technical issues in fast-paced environments.
- High Autonomy: Thrives in a high-velocity setting with significant ownership and autonomy.
- Mindset: A founder's mindset with a focus on impact, innovation, and delivering measurable results.
- Collaboration: Excellent communication skills and a track record of working effectively across teams.
- Opportunity to work with cutting-edge technology at the intersection of data engineering and cloud-native infrastructure.
- Be part of a high-visibility team integral to the company's success.
- Operate with autonomy, ownership, and the ability to drive meaningful impact in a rapidly evolving space.
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