Staff Software Engineer, Backend (Streaming)

Jobgether

67d • $200,000 - $275,000

About The Position

We are seeking a Staff Software Engineer specializing in streaming to design, build, and optimize real-time data processing infrastructure. In this role, you will work on high-throughput, low-latency data pipelines that power critical business applications and support millions of users. You will collaborate closely with cross-functional teams including analytics, machine learning, and infrastructure to deliver scalable, fault-tolerant solutions. The ideal candidate brings deep expertise in stream processing technologies, distributed systems, and backend engineering, along with a passion for solving complex technical challenges. This position offers the opportunity to influence the architecture of large-scale systems, mentor other engineers, and contribute to a robust data platform that drives the company’s strategic goals.

Requirements

• 8+ years of experience designing and building large-scale production backend systems.
• Strong hands-on experience with Apache Kafka or equivalent streaming platforms for high-volume event streaming.
• Expertise with stream processing frameworks such as Spark, Flink, Samza, or Beam.
• Solid programming skills in Python, Java, or Kotlin.
• Experience with distributed systems, cloud infrastructure, and highly available architecture.
• Familiarity with data platforms like Snowflake, Glue, Databricks, and tools like Kafka Connect or Schema Registry is a plus.
• Knowledge of relational and NoSQL databases, CDC (Change Data Capture) tools, and table formats such as Apache Iceberg is advantageous.
• Proven experience leading technical projects, mentoring engineers, and collaborating with stakeholders.
• Bachelor’s degree in Computer Science or related field, or equivalent practical experience.

Responsibilities

• Design, build, and maintain scalable backend systems and real-time data pipelines for high-volume streaming workloads.
• Develop frameworks and services to support engineering teams managing large-scale financial data and customer transactions.
• Optimize the reliability, efficiency, and availability of streaming systems and data infrastructure.
• Collaborate with cross-functional teams, including ML, analytics, and infrastructure engineering, to deliver end-to-end streaming solutions.
• Monitor, troubleshoot, and maintain production systems, ensuring high performance and minimal downtime.
• Identify new use cases, design improvements, and implement solutions to meet evolving business and technical requirements.

Benefits

• Base pay range: $200,000 – $275,000 USD depending on location and experience.
• Equity opportunities as part of total compensation.
• 100% subsidized medical, dental, and vision coverage for employees and dependents.
• Flexible spending wallets for technology, food, lifestyle, and family-forming expenses.
• Competitive vacation and holiday schedules.
• Employee Stock Purchase Plan (ESPP) for discounted share purchases.
• Remote-first work environment with occasional office visits depending on role requirements.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Bachelor's degree
• Number of Employees: 11-50 employees