Sr Software Developer in Test (FedRamp)
CriblFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Yes, this is a remote position available in Canada.
Candidates need 3-5 years of relevant experience, expertise in Cloud Native technologies, strong fundamentals of Distributed Systems, deep knowledge of Kubernetes and containerization, strong infrastructure as code knowledge (Terraform preferred), experience with telemetry tooling like DataDog, Grafana, Prometheus, and proficiency with scripting and automation (e.g., Go, Java, Python, Bash).
This information is not specified in the job description.
Confluent values smart, curious team members who ask hard questions, give honest feedback, show up for each other, and work collaboratively without egos or solo acts toward a common goal.
A strong candidate will have 3-5 years of experience in cloud operations, deep expertise in Kubernetes, distributed systems, infrastructure as code, monitoring tools, and scripting, along with exceptional teamwork and the ability to problem-solve independently.
Data streaming solutions for real-time processing
Confluent specializes in data streaming solutions, focusing on helping businesses manage and process real-time data streams. Its main product is built on Apache Kafka, an open-source platform that allows users to create real-time data pipelines and streaming applications. Clients, including large enterprises and financial institutions, utilize Confluent's tools to collect, process, and analyze data streams, which helps them make quicker and more informed decisions. Unlike many competitors, Confluent offers a subscription-based model for its cloud platform, Confluent Cloud, and its on-premises software, Confluent Platform, ensuring a steady revenue stream. The company also provides professional services like training and consulting to assist clients in optimizing their data streaming solutions. Confluent's goal is to be a leader in the data streaming market, enabling organizations to leverage real-time data for improved operational efficiency.