Software Engineer IV

About the role

Responsibilities

• Embed within product teams to deliver end-to-end AI/ML integrations — API orchestration, workflow management, and error handling — directly inside the host team's codebase and release processes.
• Produce structured handover artefacts for every engagement: merged PRs, architecture notes, runbooks, observability dashboards, and knowledge transfer sessions.
• Implement and extend Cognition's integration patterns — coordinator/extractor/mailbox services, Kafka pipeline patterns, and RESTful API contracts.
• Own and scale the Cognition v3 architecture — data pre-processing, post-processing, the audit sub-system, and the Conduct integration pipeline — handling high message volumes with reliable throughput.
• Instrument services with Prometheus and Grafana; maintain observability across Logic's owned components.
• OCRaaS at scale — deliver the OCR-as-a-Service integration for eDiscovery and Conduct.
• Mature as-a-Service patterns to simplify access to Cognition AI/ML capabilities across the product estate.
• Enhanced attachment processing — extend the Cognition ingestion pipeline to handle larger attachments at higher throughput, removing current size and volume constraints for customers.
• Cognition v3 reliability — harden the pre/post-processing communication surveillance pipeline for production resilience, operational visibility, and zero-surprise deployments.
• Champion and actively use AI productivity tooling (Windsurf, Claude Code) and embed these practices in the teams you work with.
• Write clean, well-tested Kotlin (or Java); contribute to architecture and design reviews across Logic and host teams.