Remote Software engineering Jobs · Kafka

• Shape the development of a cutting-edge data platform solutions.
• Prioritize, execute, and oversee core initiatives that drive innovation.
• Partner closely with data scientists and engineering leads to define features.

Develop frameworks, systems, and tools to create a culture of ownership and accountability for infrastructure costs. Collaborate with Finance and Engineering leadership to define and meet ambitious financial targets, ensuring Affirm's scalable and efficient growth. Lead technical decisions, projects, and roadmaps within the Infrastructure team, shaping Affirm’s strategy for managing our multi-million dollar annual spend.

Design and implement scalable and efficient software architectures. Write, test, and debug complex code for new and existing software applications. Work closely with cross-functional teams to align development efforts with business goals.

• Architect and implement the next-generation compute platform.
• Tackle complex scalability challenges to meet the demand of Addepar’s exponential growth and global expansion.
• Focus on code quality, performance, and building high-scale systems.

Participate in all aspects of agile software development, including design, implementation, and deployment. Engage with functional SMEs, frontend developers, and business to develop API first systems. Ensure application performance, uptime, and scale, and maintain high standards for code quality and application design.

Contribute to the design, development, and maintenance of advanced software solutions, focusing on browser-based applications and cloud infrastructure. Collaborate closely with cross-functional teams to deliver high-quality, scalable features while mentoring junior engineers and influencing technical strategy. Engage in architectural discussions, lead feature development, and help shape the technical direction of products in a fast-paced, agile environment.

Design and implement scalable ML-powered solutions, focusing on search and retrieval systems. Collaborate with cross-functional teams to define feature scope and implementation strategies. Mentor junior engineers and foster a culture of knowledge sharing within the team.

Design and develop backend services ranging from prototypes to large-scale production systems for advanced cloud threat detection. Build and optimize distributed, cloud-based platforms capable of analyzing massive multi-cloud event streams. Collaborate with engineers, data specialists, and security researchers to translate detection concepts into scalable implementations.

• Own end‑to-end integration delivery, including scope, design, build, test, and deployment.
• Design integration solutions using Python, REST, gRPC, Kafka, Redis, Postman, and SQL.
• Monitor and stabilize production using Grafana and observability tools.

Collaborate with software engineers and product managers to build scalable analytical big data products. Design, develop, and deploy reliable software that improves the Genesys Cloud Analytics platform. Contribute to automation, monitoring, and CI/CD pipelines.