Sr. Software Development Engineer, Full Stack

About the role

At PitchBook, we are dedicated to driving innovation and fostering continuous improvement across our products and services. Our environment emphasizes collaboration, creativity, and problem-solving, enabling us to deliver exceptional experiences to our customers. As a key member of our Product and Engineering team, you will play a vital role in designing, developing, and maintaining scalable backend systems and data pipelines. You will work closely with cross-functional teams, including data scientists, product managers, and other engineers, to build robust solutions that support our company's mission. This role offers an exciting opportunity to contribute to impactful projects, leverage your technical expertise, and grow within a dynamic organization committed to excellence.

Key facts

What you'll do

• Design, develop, and implement backend services and data pipelines capable of handling large-scale company and individual data, ensuring high performance, scalability, and reliability.
• Take ownership of features and system components throughout their entire lifecycle, from initial requirements gathering and design to deployment, monitoring, and ongoing support.
• Write clean, efficient, and well-documented code that adheres to best practices and coding standards, with a focus on maintainability and testability.
• Participate actively in architectural discussions, evaluating trade-offs, and advocating for scalable, secure, and maintainable solutions.
• Conduct thorough code reviews, providing constructive feedback to peers and ensuring adherence to quality standards.
• Maintain and troubleshoot production systems, including deploying updates, monitoring system health, and resolving issues promptly to minimize downtime.
• Utilize AI tools, including large language models (LLMs), to enhance development workflows, automate testing, and explore innovative solutions for data processing and analysis.
• Collaborate closely with cross-functional teams in an Agile environment, participating in sprint planning, stand-ups, and retrospectives to ensure alignment and timely delivery of features.
• Model and embody the company's values and vision through your work, fostering a culture of quality, innovation, and continuous learning.
• Contribute to company initiatives, participate in knowledge sharing, and support team growth through mentorship and collaboration.
• Stay current with industry trends, emerging technologies, and best practices to continuously improve system architecture and development processes.
• Assist in defining technical standards and best practices for the engineering team, promoting consistency and excellence across projects.
• Engage with stakeholders to gather feedback, clarify requirements, and ensure that solutions meet business needs effectively.
• Support data quality initiatives, including entity resolution and data enrichment, to improve the accuracy and completeness of our datasets.
• Contribute to documentation efforts, including system design documents, API specifications, and user guides, to facilitate knowledge transfer and onboarding.

Requirements

• Bachelor's degree in Computer Science, Information Systems, or a related technical field.
• Minimum of 5 years of professional software engineering experience, with a focus on backend development and data systems.
• At least 5 years of Java development experience, including extensive work with production microservices architectures.
• A minimum of 4 years of experience working with Spring Boot or the broader Spring Framework ecosystem.
• Strong familiarity with Kafka or similar streaming and messaging platforms, with experience designing and implementing event-driven architectures.
• Proven experience working with relational databases such as PostgreSQL, managing large datasets, and optimizing query performance.
• Practical knowledge of Elasticsearch or similar search and indexing technologies, including indexing strategies and query optimization.
• Understanding of large-scale data ingestion, transformation, and enrichment pipelines; experience with entity resolution, data quality, or related areas is a plus.
• Proficiency with containerization technologies like Docker and orchestration tools such as Kubernetes, especially in production environments.
• Familiarity with cloud platforms such as AWS and GCP, including deploying and managing cloud-based infrastructure.
• Strong skills in designing and developing RESTful APIs, adhering to best practices for security and scalability.
• Experience with unit testing, integration testing, and test automation, with a focus on maintaining high test coverage.
• Deep understanding of distributed systems concepts, including fault tolerance, eventual consistency, and system scalability.
• Knowledge of domain-driven design principles and service-oriented architecture (SOA).
• Familiarity with AI tools, including large language models, and the ability to evaluate and incorporate them into workflows.
• Excellent written and verbal communication skills, capable of explaining complex technical concepts clearly to both technical and non-technical audiences.
• Must be authorized to work in the United States without requiring visa sponsorship now or in the future.

Nice to have

• Experience working with data science or machine learning teams to integrate AI models into production systems.
• Knowledge of data privacy, security standards, and compliance requirements relevant to handling sensitive data.
• Prior experience working in a fintech, financial data, or enterprise SaaS environment.
• Familiarity with event sourcing and CQRS architectural patterns.
• Exposure to other programming languages such as Python or Go, especially for data processing tasks.
• Experience contributing to open-source projects or participating in developer communities.

Skills & tools

• Java and Spring Boot
• Kafka or similar streaming platforms
• PostgreSQL and Elasticsearch
• Docker and Kubernetes
• AWS and GCP cloud platforms
• RESTful API design
• AI/LLM tools and frameworks
• Agile methodologies and collaboration tools (e.g., Jira, Confluence)
• Version control systems such as Git

Practical notes

• This role is based on-site in Seattle, Washington.
• The position involves working in a collaborative, fast-paced environment with cross-functional teams.
• Candidates must be eligible to work in the United States without visa sponsorship.
• The company offers comprehensive health benefits, including medical wellness incentives, short-term and long-term disability, accidental death and dismemberment insurance, and life insurance.
• Additional resources are available for emotional health and well-being.
• Opportunities for professional development and career growth are integral parts of the company culture.
• The role emphasizes high-quality, scalable, and secure system design, with a focus on leveraging AI tools to improve workflows and data processing.