Software Engineer: Metrics Platform at Observe

Zürich, Zurich, Switzerland

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, ObservabilityIndustries

Requirements

3+ years of industry experience building distributed systems or databases
Strong computer science fundamentals in data structures, algorithms, and system design
Hands-on experience designing, implementing, and optimizing database features
Customer-focused mindset with the ability to translate user needs into technical solutions
Ability to rapidly onboard to complex systems and drive meaningful improvements

Responsibilities

Design and implement scalable metrics ingestion and query systems
Optimize our Snowflake-based metrics pipeline for performance and cost efficiency
Investigate and resolve customer-reported issues in the metrics domain
Collaborate with Product and Customer Success teams to understand use cases and pain points
Prototype and evaluate new architectural approaches for metrics storage and retrieval
Contribute to technical decisions shaping our metrics platform roadmap

Skills

Key technologies and capabilities for this role

SnowflakeDistributed SystemsDatabasesSystem DesignData StructuresAlgorithmsQuery OptimizationMetrics Ingestion

Questions & Answers

Common questions about this position

Is this position remote or onsite?

This is an onsite position.

What are the required qualifications for this role?

Candidates need 3+ years of industry experience building distributed systems or databases, strong computer science fundamentals in data structures, algorithms, and system design, hands-on experience designing, implementing, and optimizing database features, a customer-focused mindset, and the ability to rapidly onboard to complex systems.

What salary or compensation does this role offer?

This information is not specified in the job description.

What are the nice-to-have skills for this position?

Nice-to-have experience includes work with Snowflake or other cloud data warehouses, background in time-series databases like Prometheus, InfluxDB, or TimescaleDB, prior work on observability platforms or metrics systems, and an advanced degree in Computer Science or related field.

What kind of team will I be joining?

You'll join the Runtime team, part of the broader Backend organization, which owns Observe's core data transformation pipelines and user query execution paths, processing petabytes of data daily.

Observe

Software platform for application data monitoring

About Observe

Observe Inc. offers the Observability Cloud, a platform that helps businesses manage and analyze the large amounts of data generated by complex applications. This tool is designed for software developers and engineering managers, providing a comprehensive way to monitor application performance by ingesting data from various sources and formats. Unlike traditional monitoring tools, the Observability Cloud offers a holistic view, addressing the challenges of continuous releases and frequent updates. The company operates on a subscription model, allowing users to try the platform for free, and emphasizes high-quality customer support as a key differentiator.

San Mateo, CaliforniaHeadquarters

2017Year Founded

$281.6MTotal Funding

SERIES_BCompany Stage

Data & Analytics, Enterprise SoftwareIndustries

201-500Employees

Benefits

Remote Work Options

Flexible Work Hours

Risks

AI integration may introduce technical challenges affecting platform stability.

Reliance on Snowflake poses risks if pricing or service terms change.

New data sharing capabilities could raise data privacy and security concerns.

Differentiation

Observe consolidates logs, metrics, and traces into a unified data lake.

Data Graph technology enables faster issue diagnosis in distributed applications.

Observability Cloud ingests data from any source, offering a holistic application view.

Upsides

Integration with Snowflake enhances data analytics and market reach.

AI-powered observability tools offer advanced insights, aligning with AI integration trends.

$145M Series B funding boosts product development and expansion efforts.

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