DataDog

1 month ago

Senior Software Engineer - Streaming Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Senior Software Engineer for Datadog's Streaming Platform Client, developing high-performance Rust-based libraries and cross-language bindings. You will architect client-control plane interactions, optimize low-latency streaming pipelines, mentor engineers, lead cross-team initiatives, and enhance developer experience in a distributed, hybrid work setting across Europe and North America.

Location: New York, California

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Architect and implement resilient interactions between client libraries and the control plane.
•Optimize a high-throughput, low-level streaming library to maximize performance and efficiency.
•Champion the developer experience with documentation, support, and proactive troubleshooting for a wide user base.
•Lead high-stakes technical projects with end-to-end accountability for delivery and quality.
•Mentor junior engineers and interns, fostering technical excellence and knowledge sharing.

Pay and Benefits

Salary: USD 192,000 - 240,000 annually

Equity and Bonus:Equity

Perks:RsusEsppHealth Insurance401kPaid Leave

Key Requirements

•Strong proficiency in low-level languages (ideally Rust) and building distributed systems with high throughput and low latency.
•Experience architecting and implementing interactions between client libraries and control planes, and optimizing data-path performance.
•Ability to mentor junior engineers and interns, lead technical projects end-to-end, and improve developer experience with documentation and support.
•Familiarity with language bindings and FFI, and experience across multiple languages (Java, Go, Python).
•Curiosity about AI and ability to leverage it to enhance development workflows; bonus for experience with large-scale streaming systems like Kafka.

Experience:Distributed systemsStreamingRustKafka (bonus)

Skills:RustJavaGoPythonFFIKafkaDistributed systemsLow-level programming

Languages:English

Tech Stack:RustJavaGoPythonKafkaFFI

Company Brief

DataDog

Provides a cloud-native monitoring and observability platform that unifies metrics, traces, logs, and security signals to help engineering, operations, and security teams monitor and troubleshoot modern applications and infrastructure.

Industry: Developer Tools

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 2010

Glassdoor: 4.1

Website LinkedIn

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DataDog

1 month ago

Senior Software Engineer - Streaming Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: New York, California

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Architect and implement resilient interactions between client libraries and the control plane.
•Optimize a high-throughput, low-level streaming library to maximize performance and efficiency.
•Champion the developer experience with documentation, support, and proactive troubleshooting for a wide user base.
•Lead high-stakes technical projects with end-to-end accountability for delivery and quality.
•Mentor junior engineers and interns, fostering technical excellence and knowledge sharing.

Pay and Benefits

Salary: USD 192,000 - 240,000 annually

Equity and Bonus:Equity

Perks:RsusEsppHealth Insurance401kPaid Leave

Key Requirements

•Strong proficiency in low-level languages (ideally Rust) and building distributed systems with high throughput and low latency.
•Experience architecting and implementing interactions between client libraries and control planes, and optimizing data-path performance.
•Ability to mentor junior engineers and interns, lead technical projects end-to-end, and improve developer experience with documentation and support.
•Familiarity with language bindings and FFI, and experience across multiple languages (Java, Go, Python).
•Curiosity about AI and ability to leverage it to enhance development workflows; bonus for experience with large-scale streaming systems like Kafka.

Experience:Distributed systemsStreamingRustKafka (bonus)

Skills:RustJavaGoPythonFFIKafkaDistributed systemsLow-level programming

Languages:English

Tech Stack:RustJavaGoPythonKafkaFFI

Company Brief

DataDog

Industry: Developer Tools

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 2010

Glassdoor: 4.1

Website LinkedIn