Lead Kafka Engineer

Raymond James • Saint Petersburg, FL

1d • Hybrid

About The Position

Develops and implements specialized code supporting the interfaces between an organization's business application systems and a data warehouse. This position follows our hybrid workstyle policy: Expected to be in a Raymond James office location a minimum of 10-12 days a month. Please note: This role is not eligible for Work Visa sponsorship, either currently or in the future. At Raymond James our associates use five guiding behaviors (Develop, Collaborate, Decide, Deliver, Improve) to deliver on the firm's core values of client-first, integrity, independence and a conservative, long-term view. We expect our associates at all levels to: Grow professionally and inspire others to do the same Work with and through others to achieve desired outcomes Make prompt, pragmatic choices and act with the client in mind Take ownership and hold themselves and others accountable for delivering results that matter Contribute to the continuous evolution of the firm At Raymond James – as part of our people-first culture, we honor, value, and respect the uniqueness, experiences, and backgrounds of all of our Associates. When associates bring their best authentic selves, our organization, clients, and communities thrive. The Company is an equal opportunity employer and makes all employment decisions on the basis of merit and business needs. #LI-SA1

Requirements

• Some experience in programming languages such as Java or Python.
• 10 years of relevant development or engineering experience or combination of education, training and experience.
• Bachelor’s: Business Administration, Bachelor’s: Computer and Information Science (Required), Bachelor’s: Computer Engineering

Nice To Haves

• Some experience with Spark Streaming and Apache Flink is a desirable skill.
• Financial Services Industry knowledge is a plus.

Responsibilities

• Proven experience working with Confluent Kafka and Apache Kafka.
• Strong understanding of Kafka architecture, components, and tuning.
• Experience with Confluent Schema Registry.
• Proficiency in Terraform for infrastructure as code (IaC) on AWS.
• Experience with AWS services such as EC2, S3, RDS, and Lambda.
• Proficiency in Linux Virtual Machines for supporting Kafka Connect
• Excellent problem-solving skills and the ability to work in a fast-paced environment.
• Strong communication and collaboration skills.
• Familiar with SRE concepts which includes evaluating and implementing monitoring and observability tools like Splunk, Data Dog, Dynatrace, CloudWatch and other job, log or dashboard concepts for customer support and application health checks.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level