Software Engineer, Data Intake

San Mateo, California, United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

AI & Machine Learning, Data & Analytics, Enterprise SoftwareIndustries

Requirements

Candidates should have a BS or MS in Computer Science and solid computer science fundamentals. A minimum of 2 years of backend development experience is required, along with experience in a statically typed language such as Go, C++, or Java. A solid understanding of Kubernetes and AWS or GCP is preferred, or a willingness to learn. Great written and spoken communication skills about technical topics are also necessary.

Responsibilities

The Software Engineer, Data Intake will build the Observe agent and data pipeline to collect and transfer high-volume observability data from hosts, Kubernetes, and cloud services to the Observe backend. They will also build the control plane for managing fleets of agents at scale and solve complex scalability and performance challenges in both the data and control plane.

Skills

C++

Java

Kubernetes

AWS

GCP

Backend Development

Data Pipeline

Data Ingestion

Scalability

Performance

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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