Senior Software Engineer

Datadog

Confirmed live 2 days ago High trust

Hybrid

Quick summary

Work type: Hybrid
Location: —
Salary: $192,000–$240,000 / yr
Posted: 96 days ago
Freshness: Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $169k

This role $216k

$105k most similar roles pay here $254k

This role pays more than 84% of similar roles. Most pay $149,500–$187,587 — the shaded band above. At the midpoint, this role pays about $216k versus about $169k 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 266 open roles on FindRole.

Listed pay typically runs $161,000–$205,000 across 138 roles with salary data.

Most-posted roles

View all roles at Datadog

At a glance

TL;DR · Senior Software Engineer

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As a Senior Software Engineer, you will join the engineering team to solve scaling bottlenecks in critical services, design architectures for high-traffic volume, and deploy new features using feature flags. You will be responsible for investigating and fixing production issues within your team's owned services while planning major upcoming projects. The role requires significant experience in programming languages such as Go, C, or Python, along with a strong background in statistics and data pipelines. You will work on systems involving Redis, Cassandra, and Kafka to manage high-scale data. A core component of the role involves designing AI backend systems while balancing quality, cost, and latency tradeoffs. You will also utilize AI coding tools to refine outputs and improve software engineering best practices within the observability and security platform space.

What does a Software Engineer earn?

Median $197500 from 2196 postings across 133 companies.

See salary data

Skills

Go Python C Redis Cassandra Kafka Data Pipelines AI Backend Systems Feature Flags Statistics

What you'll do

Solve scaling bottlenecks in critical services.
Deploy new features to production using feature flags for progressive rollouts.
Investigate and resolve production issues within owned services.
Design architectural solutions to scale services for increased traffic.
Plan and prioritize high-impact projects with the team.
Build, validate, and refine AI-generated output in products.
Design AI backend systems while balancing quality, cost, and latency tradeoffs.

What we're looking for

You must have 6+ years of experience.
You must hold a BS, MS, or PhD in a scientific field or possess equivalent experience.
You must have significant experience in one or more programming languages.
You must be able to design architecture and backend systems for high-scale problems with awareness of cost and latency.
You must demonstrate the ability to use AI coding tools and refine AI-generated output in products.

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