Sr. Software Development Engineer, Platform Engineering

Sr. Software Development Engineer, Platform Engineering Seattle, Washington, United States At PitchBook, 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. If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you. 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 value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation. We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. 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. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us! 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! Primary Job 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 Skills and Qualifications: Required Skills: 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) Desired Skills: 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 Must be authorized to work in the United States without the need for visa sponsorship now or in the future Benefits & Compensation at PitchBook: Physical Health Additional medical wellness incentives STD, LTD, AD&D, and life insurance Emotional Health Paid sabbatical program after four years Paid family and paternity leave Annual educational stipend Ability to apply for tuition reimbursement CFA exam stipend Robust training programs on industry and soft skills Employee assistance program Generous allotment of vacation days, sick days, and volunteer days Social Health Matching gifts program Employee resource groups Dependent Care FSA Employee referral bonus program Quarterly team building events Shared ownership employee stock program Monthly transportation stipend Compensation Annual base salary: $160,000–$200,000 Target annual bonus percentage: 10% Benefits and compensation may be subject to corresponding plan and policy documents and may change during the course of your employment. Working Conditions: At the heart of our company is a belief in the power of in‑person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week. The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on‑going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events. We are an equal opportunity employer. We do not discriminate on the basis of any protected class, including veterans. #J-18808-Ljbffr PitchBook