Sr. Software Development Engineer, Platform Engineering

PitchBook Data•Seattle, WA

1d•Onsite

About The Position

As a Senior Software Development Engineer within the Product organization, you will be responsible for delivering the next suite of tools and services that empower the PitchBook platform SDEs. You will be essential in helping to build exceptional solutions relied upon and used by more than a hundred PitchBook SDEs every day. The team will rely on your complete knowledge and full understanding of the team’s business domain to help shape principles and practices. With your strong analytical skills, you’ll be able to break down abstract and complex problems into smaller problems. You will be expected to devise solutions based on limited information and precedent to find creative ways to tackle challenges. It is essential that you will be able to interpret, assess and resolve a wide range of issues and be able to select the right course of action. You will collaborate with external and internal stakeholders of different roles and backgrounds, who may have varying degrees of understanding of the domain. You may need to adapt your style of communication based on the audience you are interacting with and will be relied on to influence decisions to build optimal solutions to complex challenges. Additionally, as an experienced member of the team, you will have the opportunity to provide technical guidance to less experienced peers. You will be a key contributor to the AI enabled product delivery experience at PitchBook, building the platform features, integrations, and golden paths that bring AI into how everyone in the product delivery lifecycle does their job, including engineers, product managers, designers, etc. Lastly, you exhibit a growth mindset, willing to solicit feedback, engage others with empathy and help create a culture of belonging, teamwork, and purpose. If you love building customer-centric solutions, strive for excellence every day, are adaptable and focused and believe work should be fun, come join us!

Requirements

Bachelor’s degree in Computer Science, Information Systems, or a similar field
6+ years in Software Development or Engineering roles
6+ years in at least one production language (Java, Go, Python, or similar) and 3 years experience with a second language.
4+ years experience with containers and orchestration platforms (Kubernetes, Docker) and the operational concerns of running them at scale
5+ years experience with infrastructure-as-code (Terraform, Pulumi, or similar) and GitOps-style delivery
Experienced working within a development team in an Agile environment
Experienced with Amazon Web Services (AWS) and/or Google Cloud Platform (GCP)

Nice To Haves

Ability to handle a project through the entire software development lifecycle, end to end
Demonstrate ability to lead and/or provide guidance to junior peers within the team
Experience with distributed, scalable microservices and event-driven architectures
Experience with data storage, replication, caching and search technologies, such as PostgreSQL, MySQL, MS SQL Server, Amazon RDS, GCP CloudSQL, Redis, Elasticsearch, and Lucene/Solr
Excellent communication skills, written and verbal
Strong problem-solving ability
Familiarity with architecture trade-off analysis methods and domain-driven design preferred
Practical experience integrating LLM based features into real internal tools or workflows (OpenAI APIs, LangChain, or similar), comfortable wiring AI into production tools without needing to own the model layer
Familiarity with prompt engineering, and responsible AI patterns including cost, safety, data handling, and governance

Responsibilities

Design, develop, and maintain components of PitchBook’s backend services.
Hands-on development will be an integral part of the responsibilities
Implement well-designed, testable and efficient code that meets product requirements, coding standards, performance, scalability, reliability, and the organization’s goals and principles
Collaborate with other engineers, product managers and other internal stakeholders in an Agile environment
Provide technical guidance and perform code reviews for team members
Design and deliver on small projects end-to-end with little to no guidance
Provide support to applications in production in terms of deployment, troubleshooting, and incident management
Build and operate AI powered capabilities across the product delivery toolchain
Partner with ML Ops to bring AI capabilities into the tools used by product delivery teams in a safe and scalable way (e.g., coding assistants, code review, testing, documentation, search, ticket triage, incident response, service catalog, etc)
Support the vision and values of the company through role modeling and encouraging desired behaviors
Participate in various company initiatives and projects as requested