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Full-Time

Senior Software Engineer

Code Analysis

Confirmed live in the last 24 hours

Datadog

Datadog

5,001-10,000 employees

Cloud monitoring and analytics solutions provider

Data & Analytics
Consulting
Enterprise Software

Compensation Overview

$130k - $300kAnnually

+ Equity + Variable Compensation

Senior, Expert

New York, NY, USA

Category
Backend Engineering
Software Engineering
Required Skills
Python
Java
Postgres
Elasticsearch
Redis
Cassandra
Requirements
  • Experience building out robust customer-facing products made up of services, data stores and data streams prioritizing customer impact and sustainability
  • Proven ability to work closely with product and internal teams to architect solutions at high scale
  • You have significant experience in one or more backend languages, such as Go, Python or Java; and with different types of data stores, such as PostgreSQL, Cassandra, Redis or ElasticSearch
  • You understand the common industry patterns for ensuring high availability and performance in distributed systems
  • Passionate to work in a fast-paced, high-growth startup environment providing leadership and direction for a highly technical team
  • You have experience with or interest with static analysis tools or an interest in this area
Responsibilities
  • Collaborate closely with our PM and Product Designer to iterate quickly on features and capabilities
  • Develop new infrastructure, services and workflows to support our growing product in a sustainable way
  • Lead technical effort to develop the architecture, patterns, and individual solutions to investigate and remediate problems
  • Own and drive relationships with major stakeholders, helping to prioritize on impact towards the team’s north star
  • Represent and evangelize the project across Datadog
  • Participate in a team on-call rotation to troubleshoot and solve issues with our tools

Datadog provides tools for monitoring and managing IT infrastructure in the cloud. Their services help organizations track various aspects of their operations, including application performance, security, and network health. Datadog's products work by collecting data from different sources within an organization's IT environment, allowing users to visualize and analyze this information in real-time. This helps businesses ensure their systems are running smoothly and efficiently. What sets Datadog apart from its competitors is its wide range of features that cater to different needs, such as cloud migration, DevOps practices, and IoT monitoring, all within a single platform. The company's goal is to support organizations in maintaining optimal performance and security of their IT infrastructure, regardless of their size or industry.

Company Stage

IPO

Total Funding

$147.9M

Headquarters

New York City, New York

Founded

2010

Growth & Insights
Headcount

6 month growth

10%

1 year growth

17%

2 year growth

46%
Simplify Jobs

Simplify's Take

What believers are saying

  • Datadog's strategic partnerships, such as with JFrog, enhance its platform capabilities and expand its market reach.
  • The launch of new tools like Log Workspaces and Data Jobs Monitoring highlights Datadog's focus on improving user experience and operational efficiency.
  • Significant investments from entities like Riverview Trust Co and participation in funding rounds for AI startups indicate strong financial backing and growth potential.

What critics are saying

  • The competitive landscape in cloud monitoring and analytics is intense, with major players like AWS and Google Cloud posing significant threats.
  • Frequent introduction of new features may lead to complexity and potential integration issues for existing users.

What makes Datadog unique

  • Datadog's comprehensive suite of monitoring tools, including APM, security monitoring, and IoT monitoring, sets it apart from competitors who may offer more limited solutions.
  • Their scalable subscription-based pricing model allows them to cater to both small businesses and large enterprises, providing flexibility that many competitors lack.
  • The recent introduction of features like Live Debugger and Kubernetes Autoscaling demonstrates Datadog's commitment to continuous innovation and addressing real-time operational challenges.