Senior Data Platform Engineer
Apollo.ioSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Cloud Computing, Data AnalyticsIndustries
Requirements
- 5+ years of industry experience building as a backend engineer
- Expertise in Golang, Kubernetes, Terraform (or comparable IaC tool), cloud-native architecture
- Solid knowledge of at least one major cloud service provider
- Deep commitment to understanding and addressing customer needs (Customer Focus)
- Keen eye for design details and commitment to delivering polished, high-quality work (Attention to Detail)
- Excellent communication skills and track record of working effectively across teams (Collaboration)
- Exceptional production debugging skills to solve complex technical issues in fast-paced environments (Problem Solver)
- Ability to thrive in high-velocity settings with significant ownership and autonomy (High Autonomy)
- Founder’s mindset with focus on impact, innovation, and delivering measurable results (Mindset)
Responsibilities
- Enhance and scale high-performance data onboarding platform to handle increasing volumes of data in real-time
- Own and evolve infrastructure across multiple cloud providers (AWS, with expansion to GCP and Azure)
- Drive improvements to deployment pipelines, infrastructure automation, and operational processes
- Drive technical discussions and contribute to architectural decisions impacting platform scalability and resilience
- Participate in on-call rotations to ensure system reliability and respond to production incidents
- Continuously improve systems based on operational metrics, customer feedback, and evolving business requirements
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What are the key required skills for this Senior Backend Engineer role?
The role requires 5+ years of industry experience as a backend engineer, expertise in Golang, Kubernetes, Terraform (or comparable IaC tool), cloud-native architecture, and solid knowledge of at least one major cloud service provider.
What is the salary or compensation for this position?
This information is not specified in the job description.
Is this role remote or does it require office work?
This information is not specified in the job description.
What does the company culture or work environment look like at ClickHouse?
The role emphasizes working with significant autonomy, collaborating cross-functionally, taking initiative, and driving projects forward independently in a high-velocity, petabyte-scale environment.
What makes a strong candidate for this Senior Backend Engineer position?
Strong candidates have 5+ years of backend experience, deep expertise in Golang, Kubernetes, Terraform, cloud-native architecture, and major cloud providers, plus soft skills like customer focus, attention to detail, collaboration, and exceptional problem-solving with production debugging skills.
Clickhouse
High-speed column-oriented database management system
About Clickhouse
ClickHouse provides a high-speed, column-oriented database management system designed for developers and businesses that manage large-scale data. Its primary product processes analytical queries quickly by storing data from the same columns together, making it significantly faster than traditional row-oriented databases, especially in Online Analytical Processing (OLAP) scenarios. ClickHouse stands out from competitors by offering a free, open-source database that can be deployed on local machines or in the cloud, along with a fully managed service on platforms like AWS, GCP, and Microsoft Azure. The company's goal is to deliver a cost-effective solution that simplifies data management for its clients, as evidenced by user feedback highlighting substantial cost savings.
San Francisco, CaliforniaHeadquarters
2021Year Founded
$291.8MTotal Funding
SERIES_BCompany Stage
Data & Analytics, Enterprise SoftwareIndustries
201-500Employees
Benefits
Health Insurance
Unlimited Paid Time Off
Flexible Work Hours
Remote Work Options
Stock Options
Home Office Stipend
Risks
Redpanda Serverless poses a competitive threat in real-time data processing.
Integration challenges with PeerDB may delay expected benefits.
Dependency on Supabase could pose operational risks.
Differentiation
ClickHouse's column-oriented design offers superior speed for analytical queries.
The open-source model allows flexible deployment across various environments.
Integration with Grafana enhances data visualization capabilities.
Upsides
Partnership with Alibaba Cloud boosts presence in the Chinese market.
Acquisition of PeerDB enhances real-time analytics capabilities.
Launch of ClickPipes improves data processing efficiency for real-time updates.
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