Senior Software Engineer, Streaming Platform Client

Datadog

Hybrid

Quick summary

Work type: Hybrid
Location: —
Salary: $192,000–$240,000 / yr
Posted: 3 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $186k

This role $216k

$132k most similar roles pay here $252k

This role pays more than 74% of similar roles. Most pay $153,440–$218,543 — the shaded band above. At the midpoint, this role pays about $216k versus about $186k for comparable roles.

Based on 240 similar postings.

Employer

About Datadog

Datadog, Inc. is an American company that provides an observability service for cloud-scale applications, providing monitoring of servers, databases, tools, and services, through a SaaS-based data analytics platform.

Datadog currently has 132 open roles on FindRole.

Listed pay typically runs $187,000–$240,000 across 66 roles with salary data.

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View all roles at Datadog

At a glance

TL;DR · Senior Software Engineer, Streaming Platform Client

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As a Senior Software Engineer joining the Streaming Platform Client team at Datadog, you will work on building and optimizing Rust client libraries for producers and consumers with bindings in Java, Go, and Python. Your day-to-day responsibilities include architecting resilient interactions between clients and the control plane, pushing performance boundaries of high-throughput streaming systems, and championing developer experience through exceptional support and documentation. You will lead technical projects end-to-end while collaborating across teams to deliver impactful solutions. The role requires strong proficiency in low-level languages like Rust, a passion for deep-dive investigations into performance optimization, and familiarity with large-scale streaming systems such as Kafka. This position is crucial in ensuring Datadog’s data pipelines remain robust and efficient, handling hundreds of millions of messages per second across internal teams and services.

Skills

Rust Java Go Python Kafka CI/CD Docker Prometheus Grafana AWS Kubernetes Terraform PostgreSQL Redis Git GitHub Slack JIRA Confluence AI_tools LLM_services

What you'll do

Architect and implement resilient interactions between client libraries and the control plane.
Optimize high-throughput streaming library to enhance performance and efficiency.
Champion developer experience through exceptional support, documentation, and troubleshooting.
Lead technical projects with end-to-end accountability for delivery and quality.
Mentor junior engineers and interns, fostering a culture of technical excellence.
Collaborate on cross-team projects beyond the scope of your team.

What we're looking for

5+ years of experience in software engineering with a focus on distributed systems.
Strong proficiency in Rust and experience with low-level languages.
Expertise in optimizing high-throughput, low-latency streaming libraries.
Proven ability to lead technical projects from conception to delivery.
Experience in developing and maintaining language bindings for multiple programming languages.
Passion for performance optimization and debugging complex distributed systems.
Familiarity with large-scale streaming systems like Kafka is a plus.

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