• As a Staff Engineer, you will lead the development and refinement of major subsystems. • Responsibilities include creating and refining product features, ensuring seamless day-to-day operations, identifying patterns for streamlined development, and presenting technical and product insights to stakeholders. • At the staff full-stack level, you’ll set a technical vision, delivering flexible, efficient, and scalable solutions aligning with business needs. • Shape our technical systems’ future state by aligning high-level product goals with a deep understanding of existing systems, guiding strategic technical and product decisions for both short and long terms. • Lead engineers across teams in crafting technical solutions, engaging in the development of product and UX requirements, and fostering a culture of technical excellence. • Collaborate with various teams - product, engineering, data science, data engineering, and UX - to contribute to the development of efficient solutions and uphold technical quality.

• Building AI Autonomous Agentic production-ready framework • Optimizing the latency of complex database queries in SQL DB or Elastic • Adding Redis queues and a worker container to execute async tasks • Coming up with a new architecture for ingestion pipeline to increase throughput and cut cost • Building SDKs or APIs with high focus on DX

Role Description We invite a Senior Software Engineer to join our team and help develop new components within a large-scale fintech data platform in the private markets domain. In this role, you’ll lead a team focused on integrating platform components with blockchain layers, working across a complex, multi-system environment. - Work on a new component within an established fintech platform with 20+ internal services and 15+ external integrations - Work with blockchain systems and smart contract integrations in real-world applications - Lead technical decisions and guide a team of engineers in building complex systems end-to-end Qualifications - 5+ years of backend development experience, with Python as the primary language - Strong software engineering background in Node.js with TypeScript, with ability and motivation to work deeply in Python services - Proven experience building production AI/LLM applications, including multi-agent workflows and orchestration patterns - Strong understanding of AI framework selection and practical trade-offs (LangGraph and related ecosystem tools are a strong advantage) - Experience developing and operating microservices with multiple internal and external integrations - Strong experience with Kubernetes and containerized deployments (Docker) - Experience with Infrastructure as Code (Terraform or equivalent) - Experience with event-driven architectures, preferably including event sourcing patterns - Strong experience with PostgreSQL and practical knowledge of Redis, MongoDB, and Weaviate - Solid understanding of software architecture and system design in distributed environments - Strong focus on clean, maintainable code and automated testing - Experience producing technical documentation, including C4 and UML artifacts - Experience as a Technical/Team Lead with end-to-end ownership of delivery and technical decisions - Hands-on expertise with AI software development tools (for example Cursor and Claude Code), including ability to guide team adoption and maintain quality at high delivery speed - Strong communication, cross-functional collaboration, and stakeholder alignment skills - Strong analytical thinking, problem-solving skills, and ability to work in fast-changing environments with high ambiguity Requirements - Experience with LangChain, MCP tooling, and integration-oriented agent architecture - Familiarity with RAG patterns and modern vector database solutions - Experience designing AI agents for data validation, enrichment, surveillance, and workflow automation - Experience with AWS and Azure, and practical cloud-agnostic architecture design - Experience designing solutions that can be deployed in private cloud environments - Background in fintech, data platforms, or private markets domains - Understanding of blockchain fundamentals (L1/L2 concepts) to support cross-team integration via abstraction layers (MCP/REST APIs) rather than direct chain development Key Responsibilities - Lead a team building integrations across platform components and blockchain layers - Lead design and development of backend services and integrations across platform components - Drive integration efforts between platform components and blockchain layers - Collaborate closely with cross-functional teams to define and deliver solutions - Guide the team on implementation, quality, and engineering best practices - Ensure alignment across services in a highly integrated environment - Contribute to system design, technical documentation, and diagrams - Ensure code quality and reliability through testing and continuous improvements - Troubleshoot and resolve issues across distributed systems and integrations Benefits - 30 paid days off per year — take them whenever you want for vacation, holidays, or personal time - 5 paid sick days, up to 60 days of medical leave, and 6 paid days off per year for major family events like weddings, funerals, or the birth of a child - Partially covered health insurance after the probation, plus a wellness bonus for gym memberships, sports nutrition, and similar needs after 6 months - Grow your skills with English lessons, online training, conferences, and the option to explore new career paths

• Own the end-to-end backend architecture: event-driven core, Postgres partitioning, durable eventing patterns, multi-tenant scale • Design APIs, microservice boundaries, and service contracts for a high-throughput, multi-tenant platform • Build the AI integration surface: foundation for RAG, async classification, and other AI use cases • Drive technical phasing across multiple product phases (foundations → review workflows → external delivery → search/AI → migration) • Partner with platform architects to align with company-wide standards (eventing, observability, deploy) • Lead a team of 4–5 engineers technically — design reviews, code reviews, raising the engineering bar • Groom and mentor junior engineers — pair on hard problems, run learning sessions, give actionable feedback, and create a clear path for them to grow into senior engineers • Own production health — SLOs, runbooks, incident postmortems.