DomainTools

DomainTools

Senior Software Engineer

Raleigh, North Carolina, United States · Senior

Sponsorship not specifiedDetected 7 days ago
PythonGoRustScalaBashFull-Stack DevelopmentCode ReviewPostgreSQLElasticsearchAWSCloud PlatformsDockerKubernetesLinuxMachine LearningAirflowData EngineeringDNSResearchLeadershipCommunicationProblem SolvingMentoring

About the role

  • DomainTools is hiring a Senior Software Engineer to join our Engineering Team.
  • This role is perfect for a creative problem-solver with deep expertise in large-scale data engineering and a passion for technical leadership and continuous improvement.
  • You'll be a key technical collaborator, not only designing and maintaining complex systems but also accelerating engineering productivity and mentoring the next generation of engineers.

Responsibilities

  • We are looking for someone with a strong background in Python, Rust, GoLang, and cloud infrastructure (AWS, Docker, Kubernetes) who is eager to take on big challenges and deliver high-quality, impactful results.
  • We build our teams so creativity and innovation can flourish.

Requirements

  • 5+ years of professional development experience with Python, GoLang, Rust or equivalent languages.
  • 3+ years of experience with cloud infrastructure, specifically AWS, Docker, and Kubernetes.
  • 3+ years of experience with web-scale data engineering, leveraging data stores such as OpenSearch, Postgres (or PSQL), CockroachDB and Spark.
  • 3+ years of professional experience with Kafka.
  • 5+ years of experience working with Linux/Unix environments.

Benefits

  • A proactive attitude towards continuous learning, particularly in unfamiliar domains.
  • DomainTools embraces diversity, equity and inclusion to its fullest as an
  • We believe inclusivity and equity fosters innovation and growth, and we harness this mindset to drive a culture that serves our employees and our customers.

Equal opportunity

  • equal opportunity employer.

This listing is sourced directly from DomainTools's careers page and normalized into a canonical job model.