Senior Software Engineer – Low Latency Applications

Lumenalta is a technology solutions company partnering with organizations to build scalable solutions. They are seeking a Senior Software Engineer to join a high-performance motorsport client, focusing on building a real-time application for live telemetry and data delivery reliability.

Responsibilities:

• Validate the existing AWS Kinesis architecture—reviewing fan-out patterns, shard configuration, consumer throughput, and delivery guarantees to identify gaps before the platform scales to major automotive partners
• Identify and remediate blind spots in the real-time data pipeline: dropped records, ordering issues, late or duplicate events, consumer lag, and failure modes that aren’t yet visible or alertable
• Build and maintain Node.js services that produce, consume, and process streaming data over WebSockets and Kinesis—ensuring robust error handling, retry logic, and end-to-end delivery reliability
• Design and implement streaming data flows using WebSockets and AWS Kinesis, handling high-frequency telemetry and race event data with low-latency, high-reliability delivery requirements
• Harden AWS infrastructure across IAM (least-privilege policies, service roles), S3 (storage patterns, lifecycle, access controls), and Kinesis (stream configuration, enhanced fan-out, monitoring)—working within the existing platform architecture
• Collaborate with data engineers and platform stakeholders to ensure the streaming layer delivers clean, complete, and ordered data that the downstream Databricks Lakehouse platform and consumers can trust
• Apply AI tooling (Claude) to accelerate architecture review, code analysis, and documentation—using it as a force multiplier across the engagement
• Produce clear technical documentation of architecture findings, identified risks, recommended remediations, and system design decisions for both engineering and stakeholder audiences

Requirements:

• 6+ years as a software or backend engineer, with a demonstrated focus on distributed systems, real-time streaming, and AWS cloud infrastructure in production environments
• Expert-level proficiency in Node.js for building production-grade services that produce, consume, and process high-frequency streaming data—including TypeScript, async patterns, and robust error/retry handling
• Hands-on experience designing and operating WebSocket-based streaming data flows in production; strong understanding of real-time delivery semantics, ordering guarantees, and failure modes
• Production experience with AWS Kinesis—stream design, shard management, enhanced fan-out, consumer lag monitoring, and delivery reliability at scale. This is the core technical screen
• Solid working knowledge of IAM (least-privilege, service roles, policies), S3, and Kinesis as a unified platform—able to review, harden, and extend existing infrastructure configurations
• Strong system design fundamentals—able to review an existing architecture, identify reliability and scalability blind spots, and recommend concrete remediations with clear trade-off reasoning
• Strong coding proficiency in JS/TS; comfortable writing, reviewing, and refactoring production code across the streaming and integration layer
• Practical experience using Claude or equivalent AI assistants to accelerate architecture review, code analysis, and documentation workflows
• Sufficient understanding of downstream data consumers (Databricks, analytics platforms) to ensure the streaming layer delivers what they need—completeness, ordering, low latency, and reliability
• Strong written and verbal communication skills in English; able to document findings and present architectural recommendations clearly