Remote Software engineering Jobs · Kafka

• Design robust solutions for major initiatives, define service boundaries, and improve system observability.
• Coordinate backend decisions with other teams, aligning API contracts and shared infrastructure.
• Collaborate with the Product Manager to understand user needs and evaluate technical solutions based on customer value.

• Lead backend engineering initiatives and scale data-driven environments.
• Oversee architecture, build high-performance systems, and manage global engineering teams.
• Serve as the technical authority on backend development, APIs, and data infrastructure.

Design and evolve a real-time, globally distributed platform connecting devices, apps, and sensors to public safety. Lead strategic architectural decisions and align teams while designing real-time, low-latency systems. Guide and mentor engineers in adopting architectural best practices and best-in-class software development practices.

Looking for a Senior Java Developer specialized in microservices architecture and system modernization. Will design, develop, and maintain backend APIs and services using Java 21 and Spring Boot. Modularize and migrate legacy systems towards a microservices architecture.

• Design, build, and maintain backend services and APIs that power core features of the Clari platform.
• Collaborate with cross-functional teams to design scalable and maintainable solutions.
• Contribute to improving performance, observability, and overall system reliability.

This role involves hands-on design, development, and deployment of enterprise-grade agentic AI solutions. You will work on multi-agent systems, workflow automation, and AI integration across business processes. The position offers exposure to cutting-edge AI technologies and collaboration with cross-functional teams.

Collaborate with cross-functional teams to translate requirements into resilient technical designs. Design and build IAM and compliance services. Build transparency and auditability primitives.

The AI Engineer develops and deploys agentic AI solutions for clients. Implements components for document processing, workflow automation, data retrieval, and structured output generation. Contributes to monitoring, logging, metrics, and guardrail configurations for agentic systems.

• Design and build backend services that support event ingestion, identity stitching, profile creation, and downstream activation.
• Develop SDKs, packages, and reusable components to support instrumentation, governance, and developer experience.
• Build internal tools and fullstack workflow surfaces that help teams understand, use, and trust the data flowing through their systems.

• Work on high-throughput systems, collecting and forwarding billions of behavioral events.
• Build infrastructure to ingest clickstream, product interaction, and transactional data.
• Own and deliver projects, working directly with customers to solve scaling problems.