Job Description

HeartBug is the friendliest heart monitoring service in Australia! We are growing fast and constantly expanding, so there are many opportunities for the future.

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We really care about providing the very best service to our customers – clinics, hospitals, doctors, cardiologists and patients. We are enthusiastic and highly motivated. We have a friendly and relaxed office, all whilst delivering excellent service both internally and externally.

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Our Headquarters are in Sydney's Eastern Suburbs, Hillsdale.

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This is an office based role, standard hours: Monday to Friday, 8:00am – 5:00pm.

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Role Overview

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We are seeking aSenior Software Engineer / Architectwith solid experience building and managingmedical technology environments, particularly systems that ingest, process, analyze, report, and store high-volume clinical or device-generated data.

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This role will be responsible for designing and developing aKafka-based medical services platformthat downloads and processes large volumes of cardiac data, supports clinical analytics and reporting, and ensures secure, reliable, compliant storage of sensitive healthcare information.

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The ideal candidate has at least5 years of experience in medical, healthcare, clinical, remote patient monitoring, digital health, or medical device software environments, with hands-on expertise in distributed systems, event-driven architecture, Kafka, backend engineering, and healthcare data governance.

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Key Responsibilities

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Medical Data Platform Architecture

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Design, build, and maintain scalable backend systems for ingesting and processing high-volume cardiac and medical data.

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Develop reliable data flows for downloading, validating, analyzing, reporting, and storing cardiac data.

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Support real-time, near-real-time, and batch-processing use cases.

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Design systems capable of handling continuous data streams from medical devices, remote monitoring platforms, APIs, and clinical systems.

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Ensure platform architecture supports high availability, fault tolerance, disaster recovery, and long-term maintainability.

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Design Kafka topic structures, partitioning strategies, consumer groups, and message retention policies.

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Build producers and consumers capable of handling high-volume, mission-critical medical data.

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Implement retry mechanisms, dead-letter queues, idempotent processing, and event replay.

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Use schema management tools such as Schema Registry, Avro, Protobuf, or JSON Schema.

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Design services that can handle duplicate, delayed, incomplete, or out-of-order messages.

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Streaming Pipelines

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Implement streaming pipelines using technologies such as:

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- Kafka Streams
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- Kafka Connect
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- Spark Structured Streaming
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- Redpanda or Confluent Platform
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Monitor throughput, latency, lag, error rates, and data quality across streaming systems.

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Cardiac & Clinical Data Processing

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Develop pipelines to ingest, normalize, and process cardiac data such as ECG/EKG, telemetry, wearable-device data, Holter monitor data, or remote patient monitoring feeds.

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Store raw data, processed data, clinical events, derived metrics, and generated reports in appropriate storage systems.

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Support signal analysis, trend analysis, anomaly detection, and clinical rule-based processing.

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Collaborate with clinical, data science, AI, and product teams to transform medical requirements into reliable software systems.

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Ensure traceability between source data, analysis results, generated reports, and clinical review workflows.

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Design and implement backend services using languages such as Java, Go, C#, Python, or TypeScript.

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Build secure and scalable APIs using:

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- REST
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- gRPC
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- GraphQL
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Develop microservices that support clinical workflows, data ingestion, analytics, reporting, and system integration.

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Ensure backend services are observable, testable, secure, and production-ready.

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Implement service-to-service authentication, authorization, and secure data exchange.

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Data Storage, Reporting & Analytics

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Design storage architectures for high-volume medical data, including raw files, structured metadata, time-series data, and generated reports.

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Work with databases and storage technologies such as:

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- MongoDB
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- Redis
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- Elasticsearch / OpenSearch
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- Object storage such as S3, Azure Blob Storage, or Google Cloud Storage
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- Data lakes or lakehouse architectures
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Build reporting pipelines that generate clinically relevant summaries, analytics outputs, and audit-ready records.

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Ensure data integrity, lineage, versioning, retention, archival, and retrieval.

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Healthcare Compliance, Security & Governance

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Ensure systems are designed and operated in accordance with healthcare privacy, security, and regulatory requirements.

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Implement controls for protected health information and personally identifiable information.

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Support compliance with relevant frameworks and standards such as:

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- HIPAA
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- GDPR, where applicable
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- HITRUST
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- SOC 2
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- HL7
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- FHIR
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- DICOM, where applicable
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- IEC 62304, where applicable
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- ISO 13485, where applicable
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Build audit logging, access controls, encryption, monitoring, and traceability into core platform services.

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Collaborate with security, compliance, quality, and clinical teams to support regulated product development.

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Cloud, DevOps & Production Operations

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Deploy and manage services in cloud, hybrid, or on-premise medical environments.

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Use infrastructure and DevOps tools such as:

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- AWS, Azure, or Google Cloud
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- Docker
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- Terraform
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- GitHub Actions, Azure DevOps, Jenkins, or similar CI/CD platforms
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Implement production monitoring, alerting, logging, tracing, and incident response processes.

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Support service reliability, uptime, disaster recovery, backup, and business continuity requirements.

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Participate in architecture reviews, deployment planning, production support, and root-cause analysis.

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Required Qualifications

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5+ years of experience managing or engineering software systems in medical, healthcare, clinical, digital health, medical device, remote patient monitoring, or life sciences environments.





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Strong hands-on experience with Apache Kafkaor comparable event-streaming platforms.

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Experience building high-throughput, distributed, event-driven backend systems.

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Strong software development experience in at least one backend language, such as:

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- Java
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- Go
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- C#
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- Python
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- TypeScript / Node.js
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Experience with microservices, APIs, message-driven systems, and cloud-native architecture.

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Experience with secure handling of medical, clinical, patient, or device-generated data.

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Strong understanding of data integrity, auditability, traceability, privacy, and regulatory requirements.

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Experience with relational and NoSQL databases.

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Experience deploying applications using Docker and Kubernetes.

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Experience with cloud platforms such as AWS, Azure, or Google Cloud.

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Strong communication skills and ability to work with engineering, clinical, compliance, product, and executive stakeholders.

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Required Technical Skills

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Streaming & Messaging

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- Kafka producers and consumers
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- Partitioning and consumer groups
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- Offset management
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- Retry strategies
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- Event replay
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- Schema Registry
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- Avro, Protobuf, or JSON Schema
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- Kafka Connect, Kafka Streams, Flink, Spark Streaming, or equivalent
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- Java, Go, C#, Python, or TypeScript
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- REST APIs
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- gRPC
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- GraphQL
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- Microservices
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- Distributed systems
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- Event-driven architecture
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- Batch processing
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- Data validation
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- Data retention and archival
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- Object storage
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- Data lake or lakehouse architecture
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Databases & Storage

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- PostgreSQL or equivalent relational database
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- Redis or equivalent cache
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- Elasticsearch / OpenSearch
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- Cloud object storage
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- Encrypted storage of sensitive data
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- AWS, Azure, or Google Cloud
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- Docker
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- Terraform
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- Monitoring and alerting
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- Logging and distributed tracing
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- Disaster recovery
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- Backup and restore processes
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Healthcare & Medical Systems

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- HIPAA or equivalent healthcare privacy requirements
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- Clinical data governance
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- PHI / PII protection
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- Audit logging
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- Role-based access control
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- HL7 / FHIR
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- Medical device or remote patient monitoring data
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- Cardiac data, ECG/EKG, telemetry, or waveform data preferred
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Preferred Qualifications

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Experience with cardiac monitoring, ECG/EKG systems, Holter monitors, wearable cardiac devices, or remote patient monitoring platforms.

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Experience designing systems that process waveform, telemetry, physiological, or sensor-generated medical data.

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Experience with regulated medical software development.

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Familiarity with

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- IEC 62304
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- ISO 13485
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- FDA software guidance
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- SaMD
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- HITRUST
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- SOC 2
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- Experience with AI/ML-based clinical analytics, anomaly detection, signal processing, or predictive modeling.
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- Experience with observability tools such as:
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- Grafana
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- OpenTelemetry
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- ELK / OpenSearch
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- Splunk
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- Experience with high-availability Kafka deployments, Confluent Cloud, MSK, Redpanda, or self-managed Kafka.
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- Experience with performance testing, load testing, chaos testing, and resilience engineering.
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- Experience leading technical teams or mentoring engineers.
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📌 Senior Software Engineer - Path to CTO (Glen Innes Severn Shire Council)
🏢 HeartBug
📍 Glen Innes Severn Shire Council