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Full-Time

Software Engineer

Compliance Engineering

Posted on 9/4/2024

Datadog

Datadog

5,001-10,000 employees

Cloud monitoring and analytics solutions provider

Data & Analytics
Consulting
Enterprise Software

Compensation Overview

$149k - $190kAnnually

+ Equity + Variable Compensation

Junior, Mid

New York, NY, USA + 1 more

Category
Backend Engineering
Software Engineering
Required Skills
Microsoft Azure
Python
Java
AWS
REST APIs
Google Cloud Platform
Requirements
  • You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience.
  • You have passion and demonstrated experience in designing, building, and managing distributed systems, microservices architecture and RESTful APIs.
  • You have strong problem-solving abilities and a meticulous approach to architectural design and implementation.
  • You have a deep understanding of cloud platforms (AWS, Azure, GCP) and containerization technologies.
  • You have strong proficiency in programming languages such as Python, Go, Java etc.
  • You are someone that enjoys mentoring other engineers and collaborating with stakeholders and customers.
  • You value code simplicity, performance and details.
  • You have strong problem solving skills and attention to detail.
  • You are an accountable team player that likes to get things done.
  • You want to work in a fast, high growth startup environment that respects its engineers and customers.
Responsibilities
  • Design and implement solutions for a highly scalable, fault tolerant KPI and Evidence Management platforms.
  • Collaborate closely with stakeholders and users to translate business requirements into technical solutions.
  • Evaluate and recommend technologies and frameworks to achieve optimal system performance and reliability.
  • Work closely with other team members on design and architecture decisions.
  • Conduct thorough testing and debugging of your code to ensure accuracy, reliability and optimal performance for your solutions.
  • Raise security and compliance awareness within Datadog and advocate best practices for compliance across other Engineering teams.
  • Support ad-hoc audit requests for evidence and convert it into an automated continuous monitoring solution.

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

13%

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.