Senior Software Engineer - Synthetics Platform

Datadog
New York, US
Hybrid

Who this role is best for

Best suited to senior engineers with cloud infrastructure expertise who thrive in hybrid work environments and multi-region deployments.

Best fit for

  • Cloud-native engineers who automate infrastructure at scale across multiple providers.
    — “experience running production environments within one or several Cloud environments
  • Systems thinkers who architect for zero-downtime migrations across distributed systems.
    — “Design, plan, develop tools to do various type of migrations in a fully automated way without any downtime
  • Tooling-focused developers who build platforms for other engineering teams.
    — “build tooling to deploy software in them and provide help on setting up cloud provider specific services

Things to consider

  • Hybrid work arrangement with physical office presence expected.
    — “We operate as a hybrid workplace
  • Must maintain production systems across 30+ global regions.
    — “Synthetics services are already deployed in more than 30 regions

How to stand out

  • Showcase multi-cloud automation projects that reduced operational toil.
    — “handle infrastructure with code because automation lets you focus on the more difficult and rewarding problems
  • Highlight experience mentoring teams on distributed system design.
    — “Be an expert helping Synthetics developers to make better architecture decisions
  • Demonstrate troubleshooting complex production issues across storage systems.
    — “you leave no stone unturned when diagnosing production issues
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Deploy new Synthetics locations
  • Develop tooling to manage existing Synthetics locations
Typical background
Software EngineeringDevOps

Skills & requirements

Required

KubernetesTerraformPostgreSQLRedisBazelTemporalCassandraConfiguration ManagementContainer OrchestrationKafka

Preferred

GoPythonCloud Provider Specific Services

Stack & domain

GoPythonKubernetesTerraformPostgreSQLRedisBazelTemporalCassandraConfiguration ManagementContainer OrchestrationKafkaCorrectnessEfficiencyDiagnosing Production IssuesAutomationArchitecture DecisionsConfigurationSoftware EngineeringCloud EnvironmentsDistributed Systems

About the role

Original posting from Datadog

The Synthetics Platform team is the interface between engineers developing the Synthetics products and Datadog infrastructure teams. Today, Synthetics services are already deployed in more than 30 regions and across 3 cloud providers. The team is responsible to deploy new locations to run Synthetics tests, build tooling to deploy software in them and provide help on setting up cloud provider specific services to other Synthetics teams. The systems and tooling the team is using include: Kubernetes, Terraform, Postgres, Redis, Bazel, Temporal, build tooling, Cassandra, configuration management, container orchestration, Kafka.

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 work-life harmony that best fits them.

 

What You’ll Do:

Deploy new Synthetics locations

Develop tooling to manage existing Synthetics locations

Design, plan, develop tools to do various type of migrations in a fully automated way without any downtime in many regions/cloud providers

Help shape new infrastructure technologies serving the Synthetics product

Be an expert helping Synthetics developers to make better architecture decisions and configure their services

 

Who You Are: 

5+ years of experience in software engineering

You have programming experience with a structured programming language (Go, Python)

You have experience running production environments within one or several Cloud environments

You value correctness and efficiency; you leave no stone unturned when diagnosing production issues

You handle infrastructure with code because automation lets you focus on the more difficult and rewarding problems

You have production experience with distributed compute/storage tools, e.g. Kubernetes, Cassandra, Postgres, Kafka, Redis

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re 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 in-house 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+

Competitive global benefits

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

 

#LI-Onsite

Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.

The reasonably estimated yearly salary for this role at Datadog is:$130,000—$300,000 USD

About Datadog: 

Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.

Equal Opportunity at Datadog:

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. 

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. 

Privacy and AI Guidelines:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Source: Datadog careers

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