Clickhouse Developer Jobs

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2d ago

Senior Software Engineer

Amplitude San Francisco, CA

San Francisco, CA

2d ago

$165k - $276k/yr Full time Backend Developer Senior Clickhouse

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Job Description

Senior Software Engineer role at Amplitude based in San Francisco, CA (onsite). Compensation: USD 165,000 - 276,000 per year. This position centers on the Nova OLAP engine, owning query execution, columnar storage, distributed compute, caching, and cloud infrastructure to enhance performance, cost efficiency, and reliability for a large-scale analytics platform.

Responsibilities

Contribute to Nova's query execution and distributed compute stack, including query planning, columnar storage formats, encoding and compression, caching, and cluster level resource management.
Develop new capabilities as Nova broadens support for additional warehouse-imported data types such as metrics, profiles, and dimensions.
Ensure Nova components withstand high throughput automated query workloads, including queries from AI agents, by designing for sustained, concurrent, and programmatic query patterns at scale.
Lead initiatives to reduce infrastructure costs across compute, storage, network, and memory while maintaining or improving latency and throughput.
Profile and optimize JVM performance through GC tuning, memory management, concurrency, and informed data layout decisions.
Build guardrails and observability to detect expensive or pathological queries before they impact system performance.
Strengthen the reliability of owned Nova components by identifying failure modes, delivering durable fixes, and improving production issue detection and response.
Participate in on-call rotations to root-cause incidents and transform one-off fixes into lasting improvements.
Contribute to capacity planning, safe rollout practices, and the operational tooling that sustains Nova's health.
Design and execute multi-week to multi-month projects within your area of ownership.
Contribute to technical direction through design docs, architecture discussions, and code reviews.
Collaborate with senior and staff engineers to learn and share knowledge with peers through pairing and design discussions.
Work with Product, Middleware, Data Pipeline, and other engineering teams to ensure Nova capabilities translate into customer value.

Requirements

Minimum 3 years of professional experience in backend or infrastructure engineering with exposure to distributed data systems.
Hands-on involvement in building or extending distributed data systems such as query engines, columnar storage, large-scale data processing frameworks, streaming systems, or storage engines.
Experience improving cost or performance on cloud infrastructure including compute, storage, and network.
Strong computer science fundamentals in distributed systems (partitioning, replication, consistency, failover), data structures and algorithms, concurrency and multi-threading, and performance optimization.
Production experience with modern cloud infrastructure such as AWS (S3, DynamoDB, EC2), Kafka, Redis/ElastiCache, Kubernetes, Terraform, or strong equivalents.
Proficiency in Java, C++, or Python.
Demonstrated ability to own and ship substantial components of complex systems and collaborate effectively with engineers and partner teams.

Technologies

Nova
AWS, S3, DynamoDB, EC2
Kafka
Redis, ElastiCache
Kubernetes
Terraform
Java, C++, Python
Druid, ClickHouse, Presto/Trino
BigQuery, Snowflake
Arrow, Parquet, ORC

Benefits

Comprehensive medical, dental, and vision coverage with premiums fully paid by the employer for employee plans on select options
401(k) retirement plan with an employer match of up to 1% of eligible pay per pay period, up to $2,000 annually
Flexible time off, paid holidays, and additional benefits
Generous stipends for wellness, commuter costs, learning and development, new hire home office equipment, and more
Parental benefits including 12 weeks of paid parental leave, Carrot Fertility benefits for adoption or surrogacy, and backup childcare support
Mental health and wellness benefits with no-cost access to Modern Health coaching and therapy sessions
Employee Stock Purchase Program (ESPP)

Who you are

You enjoy working inside a complex distributed system, understanding data flow, bottlenecks, and ways to make it substantially better.
You have hands-on experience building or extending distributed data systems such as query engines, columnar storage, streaming or batch processing frameworks, or storage engines.
You view cost, performance, and reliability as interconnected concerns rather than isolated tasks.
You communicate technical tradeoffs clearly and aim to influence through high-quality work and ideas.
You value learning from teammates and helping others through pairing, design reviews, or explaining the rationale behind system designs.

Nice to have

Experience with OLAP or query engine systems such as Druid, ClickHouse, Presto/Trino, BigQuery, Snowflake, or similar
JVM expertise including GC tuning, profiling, and memory optimization
Familiarity with columnar data formats and encodings such as Arrow, Parquet, ORC, or custom formats
Knowledge of product analytics, experimentation platforms, or event-driven data systems
Contributions to open-source data infrastructure projects or related publications

Our Values

Humility: We approach collaboration with empathy and openness, seeking diverse perspectives.
Ownership: We take initiative to solve problems that advance the company’s success.
Growth Mindset: We persist through challenges and welcome feedback to develop ourselves and others.
Customer Centricity: The customer sits at the center of our decisions and actions.

Other Fun Facts About Amplitude

Our customers rate us highly as the leading product analytics solution for 23 quarters running on G2.
We invest in talent and infrastructure to build a powerful AI analytics platform and foster product innovation.
We support mentorship, management training, and wellness initiatives to develop our people.
We offer charitable giving grants and paid volunteer time off for all employees.
Founded in 2012, we went public via direct listing in September 2021 and trade under the ticker AMPL.
We are a global team with offices in multiple cities worldwide, including San Francisco (HQ), New York, Vancouver, Amsterdam, London, Paris, Singapore, and Tokyo.
Our Data Monster mascot embodies our love for numbers, charts, and graphs.

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