Lead Software Development Engineer, Full Stack

Lead Software Development Engineer, Full Stack

Seattle, Washington, United States

At Pitch Book, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We’re deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company.

Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there’s going to be some ambiguity along the way, but we excel when we challenge ourselves. We’re willing to take risks, fail fast, and do it all over again in the pursuit of excellence.

Pitch Book’s Lead Software Development Engineer on the Frontier Data Platform team is a senior technical leader and prolific individual contributor. You will design, build, and own the systems that ingest, correlate, enrich, and surface billions of records across Pitch Book's customer‑facing products — from raw scraped data through to search‑ready, AI‑augmented intelligence.

This is a hands‑on role. You will write production code every day, prototype rapidly when the problem demands it, and lead by example rather than by delegation. You will be the technical north star for a small, high‑ownership engineering team — setting the bar for design quality, system thinking, and engineering craft.

• Manage, mentor, and lead a small team of software engineers
• Evangelize better technical practices, and continually raise the bar for technical excellence across the company
• Write production‑grade backend code daily — services, pipelines, APIs — from prototype to ship
• 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
• Assess tradeoffs quickly and pivot when needed — whether that’s a proof‑of‑concept in a day or a multi‑week pipeline refactor
• 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 be 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
• Responsible for optimal engineering resources allocation and work distribution within the team to meet the sprint and release goals
• Ensure that releases and features meet PB Engineering (Architecture, Quality, Reliability, etc.) standards and guidelines
• Use cloud technology to create robust and scalable software systems
• Help establish best practices around software development, microservices, and dev‑ops
• Support the vision and values of the company through role modeling and encouraging desired behaviors
• Participate in various company initiatives and projects as requested

• 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
• Experience with large‑scale data ingestion, transformation, or enrichment systems — entity resolution, deduplication, or data quality pipelines are a strong plus
• Containerization and orchestration (Docker, Kubernetes) in production
• Cloud infrastructure experience (GCP preferred, AWS…