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Staff Software Engineer, Cloud Architecture
Shape cloud services, distributed systems, and AI-based architecture checks for PitchBook’s investment data platform. Guide engineering teams across Europe with reusable patterns and technical decisions.
Apraksts
- Explore technologies, build prototypes, and create reference implementations to solve strategic engineering challenges.
- Architect, implement, test, and maintain services and platform components.
- Work on backend systems and frontend architecture, including micro-frontend patterns.
- Automate architecture conformance with AI-based checks and fitness functions.
- Use domain-driven design to break complex problems into bounded areas and choose practical solutions amid uncertainty.
- Set and assess quality goals for performance, scalability, reliability, security, availability, recoverability, maintainability, portability, usability, and extensibility.
- Record current and target architectures, transition plans, constraints, alternatives, and decisions.
- Recommend engineering tradeoffs, such as building or buying, acting now or later, and refactoring or rebuilding.
- Develop reusable scaffolding, templates, reference architectures, and platform capabilities.
- Review architecture and designs, and coach engineers across delivery teams.
- Explain technical context to engineers, technical leaders, product managers, and business stakeholders.
Prasības
- A degree in computer science, information systems, or a related field, or equivalent practical experience.
- At least six years of software engineering experience with Java or a comparable object-oriented language.
- At least three years of microservices development experience.
- Experience building distributed or event-driven cloud systems.
- Practical knowledge of service-oriented architecture, domain-driven design, clean architecture, hexagonal architecture, and common architecture patterns.
- Experience implementing agentic applications and tools, including applying evaluation approaches during development.
- Experience designing RESTful APIs and event-driven applications using Kafka.
- Experience with widely used relational databases, caching, replication, and search technologies.
- Experience developing and evaluating agentic applications.
- Experience with Google Cloud Platform or Amazon Web Services and container orchestration technologies.
- Strong problem-solving skills and the ability to guide technical work across multiple teams without formal authority.
- Excellent written and verbal communication with engineers, managers, and product partners.
Priekšrocības
- Flexible schedule.
- Supportive, flexible work environment.
- Opportunities for professional and personal growth.
- Participation in team ceremonies and cross-functional collaboration.