Sr Backend Engineer, Data Platform

About the Role

We’re partnering with a high-growth technology company building large-scale, cloud-native data infrastructure that powers real-time products and mission-critical internal platforms.

This is a backend engineering role focused on distributed systems, data movement, streaming infrastructure, and platform services.

This is not a traditional Data Engineer, Analytics Engineer, BI, Reporting, or Dashboard-focused position.

We’re looking for engineers who have built production systems around real-time data ingestion, telemetry, event streaming, scalable APIs, and distributed backend services.

What You'll Do

Build and scale distributed backend systems handling real-time and near real-time data

Design and develop ingestion frameworks and event-driven architectures processing high-volume platform and telemetry data

Build APIs and backend services that expose critical data to product and engineering teams

Improve reliability, latency, observability, and scalability across core platform infrastructure

Partner closely with product, infrastructure, and platform engineering teams on 0→1 initiatives

Contribute to cloud-native architecture, platform modernization, and operational excellence efforts

Drive projects end-to-end from design through production deployment and ongoing ownership

Required Qualifications

8+ years of software engineering experience

Strong backend engineering and distributed systems fundamentals

Experience building and operating real-time or near-real-time ingestion systems in production

Hands-on development experience in Java, Python, or Node.js

Experience with Kafka, Pub/Sub, Kinesis, or similar event-streaming technologies

Experience designing and building scalable APIs, backend services, or platform infrastructure

Experience with cloud environments such as GCP or AWS

Strong ownership mentality and ability to independently drive technical initiatives

Experience working on customer-facing products or large-scale internal platforms

Preferred Experience

Telemetry, IoT, mobility, logistics, fintech, infrastructure, cybersecurity, or large-scale consumer products

Kubernetes and microservices-based architectures

High-throughput data platforms and event-driven systems

Streaming platforms, operational analytics, classification systems, or ML infrastructure

Experience at organizations known for engineering scale and operational excellence

Engineers Who Tend to Succeed Here

Have built systems, not just pipelines

Understand how data moves through distributed systems in production

Enjoy solving scalability, reliability, and performance challenges

Can operate effectively in fast-moving and sometimes ambiguous environments

Communicate well across engineering, product, and infrastructure teams

Take ownership of systems beyond initial delivery

Not the Right Fit If Your Background Is Primarily

Business Intelligence (BI)

Dashboard Development

Reporting & Visualization

Analytics Engineering

SQL-heavy Reporting Roles

Traditional ETL Development without significant backend engineering experience

Application Requirements

Due to the high volume of fraudulent and misrepresented applications:

A LinkedIn profile is required

LinkedIn profile must accurately reflect employment history and experience

Verifiable work history is required

Candidates should be prepared to discuss specific projects and technical contributions during the interview process

Applications without a LinkedIn profile or verifiable work history may not be considered.

Compensation

Expected base salary range is $160,000–$220,000, though final leveling and compensation will depend on experience, technical depth, location, and overall fit.

Total compensation may include bonus, equity/RSUs, and additional benefits.

Pay: $160,000.00 - $220,000.00 per year

Benefits:

401(k)

Dental insurance

Life insurance

Paid time off

Retirement plan

Application Question(s):

Please provide your LinkedIn Profile

Work Location: Remote