Senior Software Engineer - Synthetics Platform
Quick Summary
Deploy new Synthetics locations Develop tooling to manage existing Synthetics locations Design, plan,
New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training,
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.
Responsibilities
~1 min read- →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
- 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.
What We Offer
~1 min readRequirements
~1 min readDatadog 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.
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.
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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.
Location & Eligibility
Listing Details
- Posted
- May 21, 2026
- First seen
- May 21, 2026
- Last seen
- May 21, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 79%
- Scored at
- May 21, 2026
Signal breakdown

Modern monitoring & analytics. See inside any stack, any app, at any scale, anywhere.
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