Senior Software Engineer - Synthetics Platform

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-OnsiteDatadog 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:$192,000—$240,000 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