Sr SW Engineer, Tribe Investments

Role overview Build and operate software for investment products that support high-volume, regulated financial workflows. The senior engineer contributes across design, implementation, testing, deployment, and production support, while helping the team improve delivery through practical AI-assisted engineering and sound operational practices.

Responsibilities - Design and maintain distributed services and data pipelines with demanding correctness, performance, availability, and security needs. - Contribute to decisions about architecture, reliability, observability, and technical debt in light of business and regulatory requirements. - Use and extend AI tools and automation across planning, coding, testing, review, and documentation, with human validation and protections for sensitive data. - Improve engineering workflows through reusable tooling, templates, shared components, and self-service capabilities. - Write documented, testable code and support automated quality checks throughout delivery. - Work with product, architecture, delivery, and operations partners; communicate technical tradeoffs and risks, and support colleagues through reviews and knowledge sharing.

Requirements - At least two years of relevant experience with a bachelor’s degree, or five years of relevant experience without that degree requirement. - Strong Go experience building production-grade services; practical Java or other JVM experience is desirable. - Knowledge of microservices and distributed systems, including concurrency, idempotency, transactions, and event-driven messaging or streaming. - Experience with relational and NoSQL data stores, data modeling, and large-scale data workflows. - Hands-on experience operating cloud workloads, containers, CI/CD, infrastructure as code, and production observability. - English proficiency at B1 level or above, plus effective debugging, collaboration, and technical communication skills.

Nice to have - Experience with Spark or Databricks, AI agents or retrieval-based systems, AI evaluation, and responsible AI practices. - Background in financial services or other mission-critical, regulated environments with strong auditability and reliability requirements.

Benefits and work setup - Remote role; occasional office attendance may be requested with advance notice.