
Posted 1 month ago
Staff Software Engineer
AI Summary
Staff Software Engineer at SPD Technology working on the PitchBook platform, solving strategic engineering problems, designing microservices and event-driven systems, and guiding delivery teams.
About this role
At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed.
And now we are looking for a Staff Software Engineer to join us as part of our team.
About the role
PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others.
Our Tech Stack
Java, Spring, React, Typescript, Apache Beam, Flink, Python, LangGraph, GCP/AWS, K8s.
Work Environment
Flexible schedule with participation in team ceremonies and cross-functional collaboration. Time zone: Europe/Kyiv.
As a qualified expert, You will
- Solve strategic engineering problems hands on. Explore technologies, build prototypes, and produce reference implementations that make architectural qualities and tradeoffs observable.
- Design and deliver working software. Architect, implement, test, and maintain services and platform components, including backend systems and architecture-related frontend concerns such as micro-frontend patterns.
- Automate architectural conformance. Design and implement AI-based architectural conformance checks and fitness functions that continuously evaluate whether systems follow agreed principles, patterns, and quality constraints.
- Turn ambiguity into an executable approach. Break complex problems into bounded areas, apply domain-driven design, and select a practical course of action when information or precedent is limited.
- Define measurable quality goals. Establish and continuously evaluate requirements for performance, scalability, reliability, security, availability, recoverability, maintainability, portability, usability, and extensibility.
- Document architecture evolution. Describe the current state, target state, transition steps, constraints, alternatives, and decisions in forms that engineering teams can use.
- Make explicit engineering tradeoffs. Provide balanced recommendations on build versus buy, now versus later, and refactor versus rebuild, including cost and operational implications.
- Create reusable engineering patterns. Develop scaffolding, templates, reference architectures, or platform capabilities that teams can adopt without depending on the Staff Software Engineer long term.
- Guide delivery teams. Perform architecture and design reviews, coach engineers through difficult decisions, and enable teams to make high-quality choices independently.
- Communicate for the audience. Explain technical context clearly to engineers, technical leaders, product managers, and business stakeholders, and incorporate useful feedback.
We’re looking for you if you have
- A degree in Computer Science, Information Systems, or a related field, or equivalent practical experience.
- At least 6 years of experience in software engineering using Java or a comparable object-oriented language.
- At least 3 years developing microservices and experience building distributed or event-driven systems in the cloud.
- Practical knowledge of service-oriented architecture, domain-driven design, clean architecture, hexagonal architecture, and common architecture patterns.
- Experience implementing agentic applications and tools applying evaluation approaches as part of the process
- Experience designing RESTful APIs and event driven Kafka-based applications
- Experience with mainstream relational databases, caching, replication, and search technologies.
- Experience developing and evaluating agentic applications.
- Experience with Google Cloud Platform or Amazon Web Services with container orchestration technologies.
- Strong problem-solving skills and the ability to lead through technical guidance across multiple teams without formal authority.
- Excellent written and verbal communication with engineers, managers, and product partners.
Interview Steps
- Pre-screening with recruiter
- Technical Screening
- Technical Interview
- HR BP Interview
- Final сlient Interview
Skills
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