Senior Software Engineer - Husky Storage

DatadogBoston, MA
$192,000 - $240,000Hybrid

About The Position

As a Senior Software Engineer on the Husky team, you will work hands-on with a distributed storage system at petabyte scale. You will help evolve the platform to support the next level of scale required for the AI era. This involves migrating from a custom storage format to open standards like Parquet, Arrow, and DataFusion, enabling on-premise solutions, complex analytical/batch workloads, and powering AI observability. You will collaborate with Husky Ingestion, Metadata, and Platform teams, as well as Lakehouse on the Iceberg-compatible boundary. Additionally, you will engage with the open-source community to build scalable software solutions. Datadog fosters an engineering-driven, bottom-up culture with high agency and responsibility, promoting a blameless environment where challenges are overcome through mutual support. The company values remote work flexibility while also recognizing the benefits of in-person collaboration in its global offices.

Requirements

  • Enthusiastic and experienced with large-scale distributed systems and/or storage engines
  • Comfortable with improving and operating large distributed systems that customers rely on for critical business functions
  • Strong fundamentals in columnar/file storage formats (Parquet, ORC, Arrow) or comparable systems

Nice To Haves

  • experience with Go, Java, or Rust
  • experience with compaction or compression/encoding schemes (RLE, dictionary, delta, gorilla)
  • experience with object storage (S3/GCS/Azure Blob) at scale, including caching and cost optimization
  • experience with Kafka and stream processing
  • experience with Kubernetes

Responsibilities

  • Drive Husky to the next level of adoption by migrating our storage format to open source Parquet and re-imagine compaction on a format-agnostic, DataFusion-based substrate
  • Drive concrete cost-reduction work: block-level inverted index compression, combining the database with external objects at the row level, and storage tiering/caching
  • Scale our solution to enable customers to manage event versioning at scale, using temporal-database techniques.
  • Play an influential role in operating and deciding how to best operate our service going forward.
  • Work across the write path (with Ingestion) and toward a cleaner Iceberg-based handoff to ADP/Lakehouse for batch/analytical workloads

Benefits

  • New hire stock equity (RSUs)
  • 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, access to Inclusion Talks
  • Free, global mental health benefits for employees and dependents age 6+
  • Competitive global benefits
  • healthcare
  • dental
  • parental planning
  • mental health benefits
  • a 401(k) plan and match
  • paid time off
  • fitness reimbursements
  • a discounted employee stock purchase plan
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