Staff Software Engineer I - Confluent Infrastructure

IBM

Quick summary

Work type: On-site
Location: Boston, MA
Posted: 3 days ago

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Similar $192k

$131k most similar roles pay here $256k

This listing doesn't post a salary. Most similar roles pay $165,000–$219,425.

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Listed pay typically runs $1,000,000–$1,000,000 across 8 roles with salary data.

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TL;DR · Staff Software Engineer I - Confluent Infrastructure

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As a Staff Software Engineer I on the Confluent Infrastructure team in Boston, you will play a pivotal role in developing and maintaining scalable systems that support our data streaming platform. Your day-to-day responsibilities include designing robust solutions for complex business problems, collaborating with cross-functional teams to enhance system reliability and performance, and implementing cutting-edge technologies to improve operational efficiency. You should be proficient in Java or Scala, have experience with distributed systems, and possess a strong understanding of cloud services such as AWS or Kubernetes. The ideal candidate will also bring expertise in monitoring tools like Prometheus and Grafana, and have a solid grasp of microservices architecture. This role offers the opportunity to work on large-scale infrastructure challenges that impact millions of users globally.

Skills

Kafka Java Python Docker Kubernetes AWS CI/CD Git SQL PostgreSQL Maven Jenkins Ansible Terraform Prometheus Grafana

What you'll do

Design and implement scalable infrastructure solutions for Confluent's platform.
Optimize system performance by identifying bottlenecks and implementing improvements.
Ensure high availability and reliability of services through robust engineering practices.
Develop automated monitoring tools to track system health and performance metrics.
Collaborate on security initiatives to protect company data and systems.

What we're looking for

3+ years of professional software development experience.
Strong background in Java or C++ programming languages.
Experience with distributed systems and cloud technologies.
Proficiency in Linux operating system and scripting skills.
Solid understanding of database design and query optimization.

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