Veeam Software

Veeam Software

Veeam Software is the global leader in Backup that delivers Modern Data Protection, offering solutions for virtual environments, enterprises, small businesses, and service providers worldwide.

Internet Software & Services
1K-5K
Founded 2006
$500M raised

Description

  • Set the technical vision and end-to-end architecture for the Knowledge Graph, including the data model, storage engine, and query layer at very large scale.
  • Guide the evolution of the graph schema for data sources, identities, access, classifications, and lineage using property graph and/or RDF approaches.
  • Own the strategy for hyperscale lake and lakehouse integrations, including connectors and scanning engines for metadata and lineage ingestion without disrupting production.
  • Drive performance and reliability through standards for indexing, partitioning, query planning, traversal tuning, and query optimization.
  • Build and scale an AI-first engineering approach with responsible use of AI development tools and guardrails for security, maintainability, and code quality.
  • Invest in reusable engineering building blocks, including Claude skills and agent workflows, to improve team speed and consistency.
  • Own delivery outcomes across roadmap execution, operational readiness, incident learning, and cross-team alignment.
  • Hire, coach, and develop engineering managers and senior/staff engineers, with clear expectations and growth paths.
  • Lead multiple teams building enterprise-scale, searchable, security-aware graph systems.

Requirements

  • 12+ years of software engineering experience in data infrastructure, graph systems, or distributed data platforms.
  • 6+ years of engineering leadership experience, including leading through managers and scaling multiple teams.
  • Strong production experience with Amazon Neptune and/or Neo4j, including scaling, operations, and trade-offs between property graph and RDF.
  • Proven ability to lead graph modeling for complex domains, including lineage and permissions at enterprise scale.
  • Deep knowledge of Gremlin, Cypher/openCypher, and/or SPARQL, including performance tuning and query design best practices.
  • Experience with data lakes and lakehouses such as Delta Lake, Iceberg, and Parquet across Azure Data Lake, AWS S3/Glue, and BigQuery.
  • Experience designing and operating distributed systems using Spark, Flink, or Presto/Trino, with strong judgment on scalability and cost.
  • Strong backend background in Go and/or Python, with the ability to review designs, guide decisions, and unblock teams.
  • Practical experience using AI-assisted development tools and the ability to set standards that keep AI-assisted code secure and high quality.
  • Bonus: Experience operating graph systems at massive scale.
  • Bonus: Background in data security, access governance, and policy controls.
  • Bonus: Experience with AI/ML governance tools and practices such as MLflow and Databricks Mosaic AI.
  • Bonus: Experience building custom agents, MCP-based workflows, or reusable engineering automation.
  • Bonus: Infrastructure-as-Code experience such as Terraform or Pulumi.
  • Bonus: Contributions to graph standards or communities such as GQL, openCypher, or SPARQL.

Benefits

  • Compensation range of $406,800 to $844,700 USD total target compensation, including base pay and a competitive performance-based bonus.
  • Unlimited paid time off, 12 paid holidays, 4 global VeeaMe Days for self-care, and 24 paid volunteer hours annually.
  • Paid parental leave: 8 weeks for all parents and 16 weeks for birthing parents.
  • Medical, dental, and vision coverage starting on the first day.
  • Mental health support, therapy sessions, and digital wellness tools through the Employee Assistance Program.
  • 401(k) retirement plan with company matching contributions.
  • Fertility, adoption, and surrogacy support through Maven.
  • Legal services, identity protection, and supplemental health insurance options.
  • Tax-advantaged spending accounts for healthcare, dependent care, and commuting.
  • Learning and development opportunities through LinkedIn Learning, O’Reilly, mentoring, workshops, and Global Day of Learning.

Interested in this position?

Apply directly on the company website

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