Staff Software Engineer II - Confluent Secure Compute

IBM

Remote

Quick summary

Work type: Remote
Location: Remote
Posted: 10 days ago

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Similar $193k

$130k most similar roles pay here $265k

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Based on 240 similar postings.

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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 II - Confluent Secure Compute

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As a Staff Software Engineer II on the Confluent Secure Compute team in Bellevue, WA, you will be responsible for designing and implementing secure data processing solutions that enable privacy-preserving analytics. Your day-to-day tasks will include collaborating with cross-functional teams to build scalable systems using cutting-edge technologies such as Apache Kafka and Kubernetes. You will also contribute to the development of new features and enhancements for Confluent’s Secure Compute platform, ensuring robust security measures are in place while optimizing performance. This role requires expertise in Java or Python, along with a strong understanding of distributed systems, data privacy laws, and cloud infrastructure. The team tackles complex business problems related to secure data sharing across multiple industries, making this an ideal position for someone passionate about advancing the field of secure computing.

Skills

Kubernetes Docker CI/CD Python Java PostgreSQL AWS Grafana Prometheus Terraform

What you'll do

Design and implement secure compute solutions using Confluent technologies.
Optimize data processing pipelines for high performance and low latency.
Develop robust encryption methods to protect sensitive data in transit.
Conduct code reviews and mentor junior engineers on security best practices.
Integrate third-party tools and services to enhance the platform's functionality.

What we're looking for

3+ years of experience in software engineering and development.
Strong background in secure computing and data privacy technologies.
Proficient in programming languages such as Java, Python, or C++.
Experience with cloud platforms like AWS, Azure, or GCP.
Knowledge of distributed systems and microservices architecture.
Ability to design and implement scalable, high-performance software solutions.

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