Senior Software Engineer – Low Latency Applications

At Lumenalta, we partner with forward-thinking organizations to build technology solutions that scale, delight users, and accelerate business growth. Our global teams bring curiosity, commitment, and technical excellence to every project. We value transparency, autonomy, and impact—empowering every team member to do their best work. We’re seeking a Senior Software Engineer with deep AWS and Node.js expertise to join a high-performance motorsport client. The client is building a real-time application that will power live telemetry, timing/scoring, and optical tracking feeds for major automotive partners—and they need a senior engineer to validate the architecture, identify blind spots, and ensure every data point is delivered reliably to consumers. Actively Hiring We are hiring for a current opening on an active client project. This is a specific, presently open role. We review applications on a rolling basis and aim to move qualified candidates through our process promptly. What You’ll Be Doing 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. What We’re Looking For 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. Why Lumenalta is an amazing place to work at At Lumenalta, you can expect that you will: Be 100% dedicated to one project at a time so that you can innovate and grow. Be a part of a team of talented and friendly senior-level developers. Work on projects that allow you to use leading tech. Salary Salary range: CA$102,000 - CA$136,000 annually, with final compensation determined by your qualifications, expertise, experience, and the role's scope. Location: This is a fully remote position; however, candidates must be based in regions that align with the Pacific, Central, or Eastern U.S. time zones to ensure effective collaboration with client and team schedules. Benefits In addition to competitive pay, we offer a variety of benefits to support your professional and personal growth, including: Flexible working hours in a remote environment. Health insurance (medical and dental) for T4 Employees. A professional development fund to enhance your skills and knowledge. 15 days of paid time off annually. Access to soft-skill development courses to further your career. Position Details This is a full-time position requiring a minimum of 40 hours per week, Monday through Friday. Application Deadline Applications will be accepted until July 26, 2026. Candidates can expect feedback by August 3, 2026.

Validate the existing AWS Kinesis architecture and identify gaps before scaling. Build and maintain Node.js services for streaming data, ensuring reliability and robust error handling.

Candidates should have over 6 years of experience in software engineering with a focus on distributed systems and AWS. Expert proficiency in Node.js and hands-on experience with WebSocket-based streaming data flows is essential.

• Flexible Working Hours • Health Insurance • Professional Development Fund • Paid Time Off • Soft-Skill Development Courses

• Data analysisPreferred
• TypeScriptPreferred

Identified from the job description. Confirm important requirements above.

• AWS
• Node.js
• WebSockets
• Kinesis
• TypeScript
• Real-Time Streaming
• Distributed Systems
• Error Handling
• Data Pipeline
• System Design
• IAM
• S3
• AI Tooling
• Documentation
• Telemetry
• Analytics

• Technology
• Engineering
• Software
• Data & Analytics
• Consulting

Minimum experience

5+ years

Posting language

English

Working hours

40 hours per week

Seniority

Mid-Senior level