Clickhouse Jobs

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🔥 Engineering Manager (Fraud Engineering)

Posted 8 days ago

📍 Estonia, Spain

🧭 Full-Time

🔍 Identity verification

🏢 Company: Veriff👥 501-1000💰 $100,000,000 Series C almost 3 years ago🫂 Last layoff over 1 year agoArtificial Intelligence (AI)Fraud Detection Information Technology Cyber Security Identity Management

Expertise in backend development, particularly Python.
Experience in cloud infrastructure (AWS), databases (Postgres, Clickhouse), and ML pipelines.
Familiarity with tabular machine learning models and building scalable, reliable systems.
A strategic mindset with a proven ability to align technical efforts with organizational goals and ROI.
Curiosity and initiative to uncover collaboration opportunities across teams.
Strong people leadership skills, including mentorship, fostering an inclusive culture, and building high-performing teams.
Excellent communication skills (in English) for cross-team collaboration and stakeholder alignment.

Leading and inspiring the team to develop innovative fraud detection systems, maintaining a balance between technical quality and strategic impact.
Building global risk assessment systems that synthesize signals from other teams and products.
Fostering collaboration with other product teams to uncover opportunities for fraud detection integration.
Ensuring the team's outputs are reliable, scalable, and aligned with Veriff’s broader goals.
Driving technical excellence by guiding architectural decisions, promoting best practices, and fostering a culture of innovation.

AWS PostgreSQL Python Machine Learning Clickhouse

Posted 8 days ago

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🔥 Site Reliability Engineer (SRE)

Posted 10 days ago

📍 Japan

🧭 Full-Time

🔍 FinTech

🏢 Company: PayPay👥 1001-5000💰 $67,399,518 over 4 years agoInternet Mobile Payments Finance FinTech

5+ years of experience as a Site Reliability Engineer or Tech Lead.
5+ years of experience in AWS and EKS.
Experience designing and operating large-scale observability with Victoria Metrics.
Senior-level understanding of AWS cloud architecture.
Proficient in programming languages such as Python, Go, or Rust.
Strong troubleshooting and problem-solving skills.
Passion for improving observability practices and driving innovation.

Lead the engineering team in the architecture, implementation, and optimization of the platform.
Drive continuous improvement of observability tools and practices.
Collaborate with other engineering teams on reliability and performance.
Automate incident response to proactively address customer impact.
Mentor the technical skills of the engineering team.
Communicate complex technical concepts to stakeholders.

AWS Python AWS EKS Cloud Computing Clickhouse Go Rust Troubleshooting

Posted 10 days ago

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🔥 Staff Observability Data Infrastructure Engineer

Posted 10 days ago

📍 United States of America

🧭 Full-Time

💸 130295.0 - 260590.0 USD per year

🔍 Healthcare

7+ years experience managing expansive data platforms like Splunk and Clickhouse.
6+ years mastering high-volume data pipelines with tools such as Vector, Cribl, and Confluent.
Strong understanding of contemporary data modeling and architecture.
Proven collaboration skills across different teams.
Exceptional problem-solving abilities in a healthcare IT environment.
Excellent communication skills to convey technical data solutions to diverse audiences.
Experience with project management, CI/CD pipelines, and GitHub.
Proficiency in query languages like SPL2 and programming with Python or Java.

Architect and cultivate a scalable observability data platform using tools like Splunk and Clickhouse.
Innovate and refine enterprise data models to boost performance and reliability.
Support data management policies and the data lifecycle.
Enhance data integrity through robust governance processes.
Ensure compliance with regulations regarding data security.
Develop sophisticated data pipelines for data collection and processing.
Optimize data flows and long-term storage strategies.
Collaborate with various IT teams for a unified operational data view.
Drive enhancements in data platform architecture and security measures.

AWS Python ETL Java Kafka Clickhouse Data engineering CI/CD Data modeling Data management

Posted 10 days ago

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🔥 Senior DevOps Engineer (Analytics team)

Posted 14 days ago

📍 Czechia, Slovakia

🧭 Full-Time

🔍 E-commerce, digital commerce

Experience: Proven experience in DevOps or site reliability engineering, preferably with databases on GCP and Kubernetes.
Skills: Expertise in automation and scripting (Python, Go, Shell), performance tuning, and incident management.
Tools: Familiarity with monitoring, logging, and automation tools.
Problem-solving: Strong analytical and problem-solving abilities.
Communication: Excellent communication and collaboration skills.
Adaptability: Ability to work independently and handle multiple tasks.

System Administration: Manage and configure our database systems on GCP within Kubernetes.
Incident Management: Handle incident responses and perform root cause analysis.
Automation and Tools Development: Create and maintain automation scripts.
Scaling and Resource Planning: Monitor performance and ensure adequate resources.
Monitoring and Logging: Set up monitoring systems to address issues.
Backup and Recovery: Develop and manage backup strategies for business continuity.
Collaboration: Work closely with development and operations teams.

Python Bash GCP Kubernetes MongoDB Apache Kafka Clickhouse Go Grafana Prometheus CI/CD Scripting

Posted 14 days ago

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🔥 Senior Software Engineer - Database Integrations

Posted 28 days ago

📍 United States

💸 133000.0 - 215000.0 USD per year

🔍 Database Management Systems

🏢 Company: ClickHouse👥 101-250💰 Series B about 2 years agoDatabase Artificial Intelligence (AI)Big Data Analytics Software

5+ years of industry experience building high-scale, data-intensive software solutions.
Proficient in Golang (preferred) or Java with deep experience in distributed systems.
Strong background in designing and implementing robust ETL pipelines.
Solid experience with cloud-native architecture and infrastructure.
Practical experience with Kubernetes, including debugging and managing distributed systems.
Exceptional production debugging skills in fast-paced environments.
A founder’s mindset focused on impact and innovation.
Excellent communication skills and teamwork.

Build scalable systems capable of handling petabytes of data in real-time.
Integrate diverse datastores including MySQL, Mongo, Snowflake, and S3.
Leverage ClickHouse's performance to create effective solutions.
Collaborate with internal teams to align with customer needs.
Drive innovation by leading technical discussions and implementing improvements.

Cloud Computing ETL Java Kubernetes Clickhouse

Posted 28 days ago

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🔥 Senior DevOps Engineer (Analytics team)

Posted 30 days ago

📍 Czechia, Slovakia

🔍 E-commerce, digital commerce

🏢 Company: Bloomreach👥 501-1000💰 $30,000,000 Debt Financing over 2 years agoWeb Development Information Technology Marketing Automation Software

Proven experience in DevOps or site reliability engineering, preferably with databases on GCP and Kubernetes.
Expertise in automation and scripting (e.g., Python, Go, Shell), performance tuning, and managing incidents.
Familiarity with monitoring, logging, and automation tools.
Strong analytical and problem-solving abilities.
Excellent communication and collaboration skills for working with remote teams.
Ability to work independently and handle multiple tasks in a fast-paced environment.

Manage and configure our database systems on GCP within Kubernetes for high availability, reliability, and performance.
Handle incident responses, perform root cause analysis for critical issues, and participate in a 24/7 on-call rotation.
Create and maintain scripts and tools to automate operations and reduce manual tasks.
Monitor system performance, plan for future scaling, and ensure enough resources during peak times.
Set up and maintain monitoring and logging systems to detect and address issues early.
Develop and manage strategies for data backup and disaster recovery to ensure business continuity.
Work closely with development and operations teams to align operations with overall business goals.

Python GCP Kafka Kubernetes MongoDB Clickhouse Go Grafana Prometheus CI/CD Scripting

Posted 30 days ago

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🔥 Senior Java Developer - Market Risk

Posted about 1 month ago

📍 Poland

🔍 Finance and Energy markets

🏢 Company: Capco👥 101-250 Electric Vehicle Product Design Mechanical Engineering Manufacturing

Expertise in Core Java (JDK 11/17), Collections, Threading, JDBC.
Strong experience with Object-Oriented Programming (OOP), Design Principles, and Design Patterns.
Hands-on experience with Spring Framework (Spring Boot, Spring Data, Hibernate), Web Services, REST APIs, and Microservices architecture.
Proficiency in unit testing, integration testing, and behavior testing using JUnit, Mockito, Cucumber.
Strong experience with Java IDEs like IntelliJ IDEA, Eclipse, VS Code.
Skilled in Java debugging, profiling, and performance tuning.
Experience with OLTP and OLAP systems, preferably PostgreSQL and Clickhouse.
Good exposure to Java coding standards, clean code, and code review.
Knowledge of Domain-Driven Design and Microservices Architecture.
Proficient in Shell scripting and working in a UNIX/LINUX environment.
Familiarity with authentication and authorisation frameworks/tools (e.g., AD/LDAP, OAuth2, SSO, Kerberos, JWT, Spring Security).
Experience with JIRA, Git/Bitbucket, and Gitflow branching strategy.
Familiarity with build tools, CI/CD pipelines, and code quality tools (e.g., Maven, Jenkins, SonarQube, Artifactory).

Design and develop JAVA Services and REST APIs.
Deliver quality implementations given budget, and time constraints.
Take ownership and responsibilities of some core Java components.
Propose design improvements for application performance as per SLA/OLA.
Ensure good unit test code coverage and maintain code quality.
Monitor and fix issues from security scans to ensure compliance.
Support all testing activities including SIT/UAT/PT/Regression/PenTest.
Prepare for releases and provide standby support during releases.
Perform L3 support on rota, collaborating with PSS for PROD issue resolution.
Create and maintain documentation for both Dev Guide and User Guide.
Conduct knowledge transfer sessions and mentor new Java developers.
Engage with architects on high-level and low-level designs.
Explore new backend technologies and create POCs for discussion.

PostgreSQL Git Hibernate Java Jenkins JUNIT Spring Clickhouse JDBC Maven REST API Linux Microservices

Posted about 1 month ago

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🔥 Senior Product Manager, Big Data Optimization

Posted about 1 month ago

📍 North America

🔍 Cloud technology

🏢 Company: DoiT👥 501-1000💰 $100,000,000 Series A about 5 years agoInternet of Things Big Data Cloud Computing Robotics Analytics Information Technology

10+ years experience in product roles, building technical cloud products for B2B SaaS products.
Well-informed on contemporary, multi-cloud data engineering technologies.
Experience working with data warehouses, especially BigQuery, Snowflake, ClickHouse, Databricks.
Familiarity with approaches to driving operational efficiency in big data environments.
Self-motivated, independent, proactive with creative and critical thinking skills.
Ability to influence and work collaboratively across traditional SDLC roles.
Strong technical skills to engage with technical teams.
Ability to adapt to fast-changing nature of the SaaS market.

Develop a deep contextual understanding of our business, our clients, our users, & their needs.
Proactively identify the important problems we should attack in your primary focus area.
Build a coherent strategy and roadmap with measurable objectives.
Build requirements that align product solutions with customer needs.
Drive, track, and document progress against plans.
Collaborate with executives and cross-functional leadership.
Maintain competitive and market awareness.
Verify readiness of features for release to clients.

AWS Leadership ETL Kubernetes Microsoft Azure Snowflake Strategy Azure Clickhouse Data engineering Communication Skills

Posted about 1 month ago

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🔥 Senior/Staff Software Engineer - Full Stack/Front End

Posted about 2 months ago

📍 USA, Canada

🧭 Full-Time

🔍 Customer intelligence platform for B2B companies

🏢 Company: Common Room👥 51-100💰 $32,300,000 Series B almost 4 years agoCRM Sales Automation Artificial Intelligence (AI)Communities Contact Management Generative AI Marketing Automation

6+ years of experience.
Operate independently while seeking support when needed.
Ability to own large projects in the front-end domain.
Collaborate effectively with experienced engineers, designers, and PMs.
Make high-quality technical and non-technical tradeoffs.
Prefer well-supported, stable technologies over trendy tech.
Attention to detail in matching product specs, focusing on performance, componentization, and testability.
Engage in candid and respectful feedback.
Manage time and priorities effectively.
Demonstrate pride, ownership, and accountability for work.

Focus on user-facing experiences and collaborate with engineers, PMs, and designers.
Convert design mocks into functional code rapidly.
Build delightful, pixel-perfect user experiences with attention to detail on performance.
Write maintainable, well-componentized code for team collaboration.
Participate in company-building initiatives crucial for a fast-growing startup.

GraphQL Node.js HTML CSS TypeScript Clickhouse Postgres React

Posted about 2 months ago

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🔥 Senior or Staff Software Engineer, Data Platform

Posted about 2 months ago

📍 US

🔍 Blockchain intelligence and financial services

Bachelor's degree (or equivalent) in Computer Science or a related field.
5+ years of hands-on experience in architecting distributed system architecture.
Exceptional programming skills in Python.
Adeptness in SQL or SparkSQL.
In-depth experience with data stores such as ClickHouse, ElasticSearch, Postgres, Redis, and Neo4j.
Proficiency in data pipeline and workflow orchestration tools like Airflow, DBT, Luigi, Azkaban, and Storm.
Expertise in data processing technologies and streaming workflows including Spark, Kafka, and Flink.
Competence in deploying and monitoring infrastructure within public cloud platforms, utilizing tools like Docker, Terraform, Kubernetes, and Datadog.

Build highly reliable data services to integrate with various blockchains.
Develop complex ETL pipelines for processing structured and unstructured data in real-time.
Design intricate data models to support optimal storage and retrieve with sub-second latency.
Oversee large database cluster deployment and monitoring with a focus on performance.
Collaborate with data scientists, engineers, and product managers to enhance TRM's products.

Docker Python SQL Blockchain ElasticSearch ETL Kafka Kubernetes Airflow Clickhouse Data engineering Postgres Redis Spark Collaboration Terraform Documentation

Posted about 2 months ago

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