Software Engineer with Systems Depth

DataDog
New York, Denver, Boston
Workplace: RemoteFull timeUSD 192,000 - 240,000 annuallyFunction: Software EngineeringSkills: ["Problem-solving","Learning"]

Build and run internal platforms and tools that power observability products, with a focus on systems, tooling, reliability, performance, and security. You’ll apply deep experience in large cloud infrastructure deployments, reliability efforts, and release machinery to help hundreds or thousands of developers ship without conflicts. Work with common build, release, and infrastructure technologies such as Kubernetes, Docker, Terraform, Kafka, and more.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
DataDog
DataDog
4 years ago

Software Engineer with Systems Depth

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Build and run internal platforms and tools that power observability products, with a focus on systems, tooling, reliability, performance, and security. You’ll apply deep experience in large cloud infrastructure deployments, reliability efforts, and release machinery to help hundreds or thousands of developers ship without conflicts. Work with common build, release, and infrastructure technologies such as Kubernetes, Docker, Terraform, Kafka, and more.
Location: New York, Denver, Boston
Workplace: Remote
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Leverage systems and tooling expertise to build software that keeps the platform reliable, performant, and secure.
  • •Develop and operate internal platforms and tools that support how product teams build.
  • •Apply deep experience in cloud infrastructure deployments and/or reliability efforts to improve organizational outcomes.
  • •Build release machinery that enables hundreds or thousands of developers to work without conflicts.
  • •Use relevant infrastructure components and tooling (e.g., Kubernetes, Docker, Terraform, Kafka, and build/release tooling) to support deployments and operations.

Pay and Benefits

Salary: USD 192,000 - 240,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalPaid Leave401kEquity

Key Requirements

  • •Deep systems experience leveraging systems and tooling to build reliable, performant, and secure software.
  • •Experience building and managing large cloud infrastructure deployments or leading reliability efforts.
  • •Ability to build and run internal platforms and tools that product teams rely on.
  • •Experience creating release machinery that allows many developers to work without stepping on each other’s toes.
  • •Familiarity with systems and tooling such as Kubernetes, Docker, Terraform, Kafka, and related infrastructure components.
Skills:Problem-solvingLearning
Languages:English
Tech Stack:BazelBuild toolingCassandraCDNChefConfiguration managementContainer orchestrationConsulDockerElasticsearchEnvoyHaproxyKafkaKubernetesLoad balancingNetwork architecturePostgresRedisRelease managementRPC frameworks

Company Brief

DataDog
Provides a cloud-native monitoring and observability platform that unifies metrics, traces, logs, and security signals to help engineering, operations, and security teams monitor and troubleshoot modern applications and infrastructure.
Industry: Developer Tools
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York, United States
Founded: 2010
Glassdoor
Glassdoor: 4.1
WebsiteLinkedIn