This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Software Engineer, Backend (Streaming) in the United States.

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.

Accountabilities

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

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

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

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

📊 It compares your profile to the job's core requirements and past success factors to determine your match score.

🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.

🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.

Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!