Staff Engineer - Agent Runtimes

Datadog; Paris; Hybride; EUR 70 000 - 110 000; Plein temps

Résumé du poste

An innovative firm is seeking a highly experienced software engineer to join their dynamic team. This role focuses on designing and implementing internal libraries and frameworks for a cutting-edge observability platform. You will lead complex projects, mentor fellow engineers, and collaborate closely with cross-functional teams to enhance the performance and scalability of the software. If you have a passion for technology and a proven track record in backend engineering, this opportunity allows you to make a significant impact while enjoying a supportive and inclusive company culture.

Prestations

New hire stock equity (RSUs)

Employee stock purchase plan (ESPP)

Continuous professional development

Intradepartmental mentor program

Inclusive company culture

Access to Inclusion Talks

Free global mental health benefits

Qualifications

• 10+ years of experience in backend engineering with a focus on performance optimization.
• Experience in creating and delivering high-performance solutions.

Responsabilités

• Design and implement internal Agent libraries and frameworks.
• Develop and maintain core functionality for runtimes used by the Agent.
• Lead and guide other engineers in their growth and development.

Connaissances

Computer Science

Docker

Kubernetes

Python

C / C++

Go

System Architecture

gRPC

OS Kernels

Perl

Distributed Systems

Description du poste

The Datadog Agent is software that runs on customer infrastructure and supports a wide range of platforms. It collects observability data from hosts and sends them to Datadog where our customer can analyze their monitoring and performance data.

The Agent Runtimes teams mission is to develop and own architectures as well as building blocks of the Agent to ensure consistency modularity maintainability scalability and stability of the Agent as the number of teams and contributors grows while at the same time maintaining a single Agent userfacing experience. Ownership covers dynamic and static modularity as well as related Agentasaplatform components needed to support this vision.

Datadogs Staff Engineers are our technical leaders operating at the forefront of technology building solutions that take us through at least our next five years of growth. They do this in three major ways :

• As individual contributors they bring world class technical abilities to deliver industry leading systems in areas such as data visualization virtual runtime profiling planet scale streaming and others.
• As technical leaders they bring experienced technical breadth and communication skills to tackling design and architectural problems spanning the organization charting the right course then leading the delivery.
• In both roles they participate in the staff engineering community and help us learn from what the industry is doing and what weve built before and so improve companywide standards around software and systems engineering.

At Datadog we place value in our office culture the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a worklife harmony that best fits them.

What Youll Do :

• Design and implement the internal Agent libraries and frameworks that allow Agent teams to build their features with a simple and consistent user experience (logging hostname resolution health API etc) connect their Agent components to Datadogs intakes and easily communicate with other Agent components.
• Develop and maintain core functionality for the runtimes that the Agent uses (Go Python etc).
• Investigate develop and maintain core architectures that allow the Agent to be small fast and composable.
• Solve complex cross team projects / problems with multiple levels of stakeholders.
• Investigate and implement new approaches for reducing the Agent footprint and increasing overall performance.
• Lead and guide other engineers in their growth and development.
• Collaborate closely with partner teams that integrate and depend on the Agent to provide critical capabilities to their customers.
• Support the growth of the Agent adoption and featureset.

Who You Are :

• You are a significantly experienced software engineer with an extensive background in backend engineering (Go Python Rust C... and software performance optimization.
• With a strong experience of 10y (at least) you have been exposed to the challenge of creating and delivering onpremise / packaged solutions with a highperformance and customercentric approach.
• You enjoy connecting with teams and people in your ecosystem and have already demonstrated the ability to lead large crossteam initiatives in an environment where security speed and reliability are firstorder concerns.
• You are able to bring best practices from across the world of software engineering and adapt them to the Agent.
• You are a strong communicator especially on complex technical topics.
• You enjoy mentoring and coaching other engineers.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. Thats okay. If youre passionate about technology and want to grow your skills we encourage you to apply.

Benefits and Growth :

• New hire stock equity (RSUs) and employee stock purchase plan ESPP
• Continuous professional development product training and career pathing
• Intradepartmental mentor and buddy program for inhouse networking
• An inclusive company culture ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks our internal panel discussions
• Free global mental health benefits for employees and dependents age 6

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

Required Experience :

Staff IC

Key Skills

Computer Science,Docker,Kubernetes,Python,VMware,C / C++,Go,System Architecture,gRPC,OS Kernels,Perl,Distributed Systems

Employment Type : Full-Time

Experience : years

Vacancy : 1