• Own reliability and operational stability of BJAK’s production systems. • Design and improve monitoring, alerting, logging and observability across services. • Lead incident response, troubleshooting and structured root cause analysis. • Improve system resilience through redundancy, failover and recovery strategies. • Work with engineers to design systems that are reliable, scalable and operable in production. • Improve deployment safety through CI/CD pipelines, release strategies and automation. • Reduce recurring incidents by identifying root causes and driving long-term fixes. • Manage and optimize cloud infrastructure supporting business-critical workflows. • Strengthen operational practices including on-call processes, incident playbooks and SLAs. • Continuously improve system uptime, performance and operational maturity.

• Own and improve platform reliability across production systems and environments. • Manage cloud infrastructure, deployment pipelines and runtime environments. • Design and improve CI/CD workflows to enable safe, fast and repeatable releases. • Build and enhance monitoring, alerting, logging and system observability. • Lead incident response efforts and perform structured root cause analysis. • Improve system resilience through redundancy, failover and recovery mechanisms. • Work with engineering teams to reduce production risk through better deployment and system design practices. • Strengthen infrastructure security, access control and secrets management. • Support reliability for business-critical workflows across multiple countries and services. • Continuously improve operational discipline, uptime and system stability.

• Design and maintain CI/CD pipelines for multiple services across the platform. • Improve deployment automation, release strategies and rollback mechanisms. • Build and enhance monitoring, alerting and observability systems across production services. • Ensure system health visibility through metrics, logs, traces and dashboards. • Work with engineers to reduce deployment risk and improve release confidence. • Implement safe deployment strategies such as canary, blue-green or phased rollouts. • Improve incident detection speed and reduce mean time to recovery (MTTR). • Support infrastructure reliability for business-critical insurance workflows. • Standardize deployment and monitoring practices across engineering teams. • Continuously improve CI/CD performance, stability and maintainability.

• Build backend services that power AI-driven operations and workflow automation systems. • Design and implement logic for insurance processes including quotes, policy issuance, renewals, endorsements and claims. • Connect customer data, insurer systems, internal operations and AI-driven workflow engines into unified backend systems. • Design scalable APIs, data models and backend architectures for complex operational workflows. • Improve asynchronous processing, queues, retries, background jobs and workflow orchestration. • Ensure correctness, consistency and reliability of operational and transactional data across systems. • Debug production issues and perform deep root cause analysis across multi-step workflows and system dependencies. • Work closely with product, operations, QA, frontend and DevOps teams to deliver end-to-end solutions. • Build systems that provide visibility into operational workflows, status tracking and execution history. • Continuously improve system performance, scalability, reliability and maintainability.