PitchBook Data

Lead Software Development Engineer, Full Stack

Seattle, Washington, United States · Senior

No sponsorshipDetected 19 hours ago
JavaDistributed SystemsFull-Stack DevelopmentCode ReviewGitPostgreSQLElasticsearchAWSGCPCloud PlatformsDockerKubernetesCI/CDDevOpsAPI DevelopmentKafkaData EngineeringExcelLeadershipCollaborationMentoring

About the role

  • As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day.
  • We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.
  • As a team, we assume positive intent in each other's words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value.

Responsibilities

  • Manage, mentor, and lead a small team of software engineers
  • Lead system design for new platform capabilities: ingestion pipelines, entity resolution, enrichment workflows, search indexing strategies
  • Own the technical quality of the team's output: code review, architecture decisions, performance, reliability, observability
  • Collaborate directly with the EM, product, and partner teams on requirements and technical direction
  • Mentor engineers on the team through code, design discussions, and direct pairing
  • Identify and drive down technical debt that meaningfully limits velocity or reliability
  • Own services and applications and related infrastructure, and ultimately responsible for the services' quality, stability, reliability, and performance in production
  • Own estimations of Features and Releases in the Team and can explain them to peer functions and stakeholders
  • Use cloud technology to create robust and scalable software systems

Requirements

  • Bachelor's degree in Computer Science, Information Systems, or a similar field
  • Track record of technical leadership in a small, high-ownership team - without needing a large org around you to get things done
  • 7+ years of backend software engineering, predominantly in Java on production systems at scale
  • Deep experience with distributed data pipelines and streaming systems - Kafka or equivalent
  • Strong hands-on experience with Elasticsearch or comparable search/indexing platforms
  • Solid PostgreSQL or relational DB expertise at meaningful data volumes
  • Must be authorized to work in the United States without the need for visa sponsorship now or in the future
  • If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you.
  • Containerization and orchestration (Docker, Kubernetes) in production

Nice to have

  • Experience with large-scale data ingestion, transformation, or enrichment systems - entity resolution, deduplication, or data quality pipelines are a strong plus
  • Cloud infrastructure experience (GCP preferred, AWS acceptable)

Compensation

  • Benefits + Compensation at PitchBook:

Company info

  • Assess tradeoffs quickly and pivot when needed - whether that's a proof-of-concept in a day or a multi-week pipeline refactor
  • Responsible for optimal engineering resources allocation and work distribution within the Team to meet the sprint and release goals
  • Ensure that Releases & Features meet PB Engineering (Architecture, Quality, Reliability, etc.) standards and guidelines
  • Helping establish best practices around software development, microservices, and devops
  • Support the vision and values of the company through role modeling and encouraging desired behaviors
  • Participate in various company initiatives and projects as requested
  • Evangelizes better technical practices, and continually raises the bar for technical excellence across the company

Visa & Work Authorization

  • Must be authorized to work in the United States without the need for visa sponsorship now or in the future

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