What are the responsibilities and job description for the Staff Software Engineer II position at Lensa?
With Confluent, organizations can harness the full power of continuously flowing data to innovate and win in the modern digital world. We have a purpose that drives us to do better every day – we're creating an entirely new category within data infrastructure - data streaming. This technology will allow every organization to create experiences and use the power of data in ways that profoundly impact the way we all live. This impact is our purpose and drives us to do better every day.
One Confluent. One team. One Data Streaming Platform.
Data Connects Us.
About The Role
We are a team of passionate engineers who love solving complex distributed systems and infrastructure problems. We are building Kora from the ground up to be a true managed service for clients who demand high levels of availability and performance at the lowest cost of ownership.
architect, and develop high-quality solutions. Here are examples of some of the challenges we've taken on in recent years:
Kora: A Cloud-Native Event Streaming Platform For Kafka
Apache Kafka's Next-Gen Rebalance Protocol: Towards More Stable and Scalable Consumer Groups
From On-Prem to Cloud-Native: Multi-Tenancy in Confluent Cloud (https://www.confluent.io/blog/from-apache-kafka-to-confluent-cloud-optimizing-for-speed-scale-storage/)
Speed, Scale, Storage: Our Journey from Apache Kafka to Performance in Confluent Cloud
Benchmarking Confluent Cloud
In this role, you'll focus on building Kora's highly available, reliable, secure, scalable, and multi-tenant compute layer. You'll be key to driving performance tuning and optimization for the Kora Compute Platform and related products. This includes identifying performance bottlenecks, creating performance testing strategies, and working with engineering teams to improve system performance. You'll also drive technical solutions end-to-end, collaborating with the team and stakeholders to design.
What You Will Do
At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law.
At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. This position has an annual estimated salary of $252,000 - $296,100 and a competitive equity package. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click HERE (https://confluentbenefits.com/) .
Click HERE (https://www.confluent.io/legal/confluent-candidate-privacy-notice/) to review our Candidate Privacy Notice which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees.
One Confluent. One team. One Data Streaming Platform.
Data Connects Us.
About The Role
We are a team of passionate engineers who love solving complex distributed systems and infrastructure problems. We are building Kora from the ground up to be a true managed service for clients who demand high levels of availability and performance at the lowest cost of ownership.
architect, and develop high-quality solutions. Here are examples of some of the challenges we've taken on in recent years:
Kora: A Cloud-Native Event Streaming Platform For Kafka
Apache Kafka's Next-Gen Rebalance Protocol: Towards More Stable and Scalable Consumer Groups
From On-Prem to Cloud-Native: Multi-Tenancy in Confluent Cloud (https://www.confluent.io/blog/from-apache-kafka-to-confluent-cloud-optimizing-for-speed-scale-storage/)
Speed, Scale, Storage: Our Journey from Apache Kafka to Performance in Confluent Cloud
Benchmarking Confluent Cloud
In this role, you'll focus on building Kora's highly available, reliable, secure, scalable, and multi-tenant compute layer. You'll be key to driving performance tuning and optimization for the Kora Compute Platform and related products. This includes identifying performance bottlenecks, creating performance testing strategies, and working with engineering teams to improve system performance. You'll also drive technical solutions end-to-end, collaborating with the team and stakeholders to design.
What You Will Do
- Platform Optimization: Develop strategies to optimize kafka performance for scalability, resilience, and high availability aligned with organizational goals.
- Performance Tuning: Conduct analysis and tuning of our confluent Kafka offerings to meet the performance requirements under various loads.
- Tooling: Build tools to measure key performance metrics, providing insights into efficiency and resource utilization.
- Monitoring: Establish monitoring systems for metrics, proactively identifying and resolving performance issues in production.
- Leadership: Lead and mentor performance engineers, offering guidance and support to ensure platform efficiency across deployments.
- BS, MS, or PhD in computer science or a related field, or equivalent work experience
- 2 years of relevant cloud infrastructure/cloud networking experience
- Strong fundamentals in distributed systems design and development
- Experience building and operating large-scale systems in the Cloud
- Solid understanding of basic systems operations (disk, network, operating systems, etc)
- A self starter with the ability to work effectively in teams
- Proficiency in Java, Scala, C/C , Go or other statically typed languages
- Strong understanding of performance analysis methodologies, tools, and metrics. Experience with distributed systems, cloud environments, and performance analysis. Knowledge of Kafka would be highly beneficial.
- In-depth familiarity with the JVM or any other memory management systems
- A strong background in distributed storage systems or databases
- Experience in the areas of resource management and QoS
- Experience/knowledge with public clouds (AWS, Azure or GCP)
- Interest in evangelism (giving talks at tech conferences, writing blog posts evangelizing Kafka)
- Experience working on databases or data storage
At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law.
At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. This position has an annual estimated salary of $252,000 - $296,100 and a competitive equity package. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click HERE (https://confluentbenefits.com/) .
Click HERE (https://www.confluent.io/legal/confluent-candidate-privacy-notice/) to review our Candidate Privacy Notice which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees.
Salary : $252,000 - $296,100
