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
Enterprise Software
Cybersecurity

Compensation Overview

$149k - $190kAnnually

Entry

New York, NY, USA + 1 more

More locations: Denver, CO, USA

Hybrid workplace; in-office presence required.

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 activity. Datadog's products work by collecting data from different sources within an organization's IT environment, allowing users to analyze performance metrics, detect security threats, and ensure that applications run smoothly. Unlike many competitors, Datadog offers a wide range of monitoring solutions that cater to specific needs such as cloud migration, DevOps practices, and IoT monitoring, all within a single platform. The company's goal is to help businesses maintain efficient and secure IT operations through comprehensive monitoring and analytics.

Company Stage

IPO

Total Funding

$143.9M

Headquarters

New York City, New York

Founded

2010

Growth & Insights
Headcount

6 month growth

0%

1 year growth

3%

2 year growth

-1%
Simplify Jobs

Simplify's Take

What believers are saying

  • Growing demand for cloud-native solutions boosts Datadog's adoption.
  • AI-driven observability tools align with Datadog's recent AI-focused offerings.
  • IoT market expansion presents opportunities for Datadog's monitoring services.

What critics are saying

  • Increased competition from new entrants like Honeycomb and Grafana Labs.
  • Potential over-reliance on AWS could pose risks during outages.
  • New privacy regulations may increase compliance costs for Datadog.

What makes Datadog unique

  • Datadog offers comprehensive monitoring across servers, containers, and databases.
  • Their LLM Observability module supports monitoring of generative AI applications.
  • Datadog's Kubernetes Active Remediation provides end-to-end management of Kubernetes environments.

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Benefits

Health Insurance

Dental Insurance

Mental Health Support

401(k) Retirement Plan

401(k) Company Match

Company Equity

Employee Stock Purchase Plan

Professional Development Budget

Hybrid Work Options

Flexible Work Hours

Paid Vacation

INACTIVE