Senior Full Stack Engineer - Cloud, Data & Microservices

Jefferies

New York (NY)

On-site

USD 180,000 - 240,000

Full time

14 days+

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Benefits offered by this job

Annual discretionary incentive
Medical, dental & vision
401(k)
Life, accident & disability insurance
Wellness programs
Paid time off & parental leave

Job summary

Jefferies is seeking an experienced senior data engineering professional to lead Java-based APIs and microservices on a cloud-native AWS platform. You will work across divisions to deliver scalable data pipelines, streaming architectures, and robust data warehousing solutions.

You will collaborate with data scientists, application developers, and product managers in a fast-paced, global environment, contributing to our cloud initiative and continuous modernization of the tech stack.

Qualifications

  • Bachelor's or Master’s degree in computer science, engineering or related.
  • 8+ years designing, developing Java-based APIs and microservices with Spring Boot on AWS.
  • Experience with Kafka, streaming data and scalable data pipelines.
  • Proficient in SQL, data warehousing and stored procedures.
  • Strong design, multi-tasking, and distributed systems knowledge.
  • Experience with TDD/BDD and Agile ceremonies.

Responsibilities

  • Contribute to end-to-end SDLC on high-impact data projects across divisions.
  • Align goals and deliverables across IB Tech & CRM/Analytics teams.
  • Write readable, testable code and drive adoption of new technologies.
  • Collaborate with data scientists, developers and product managers to innovate.

Skills

Java APIs
Spring Boot
AWS
Kafka
SQL/Data Warehousing
TDD/BDD
CI/CD
Docker
Kubernetes
Agile

Education

Bachelor's or Master's in CS/Engineering

Tools

AWS EKS
Docker
Kubernetes
EC2
Beanstalk
ECR

Job description

Jefferies is seeking an experienced senior data engineering professional to lead Java-based APIs and microservices on a cloud-native AWS platform. You will work across divisions to deliver scalable data pipelines, streaming architectures, and robust data warehousing solutions.

You will collaborate with data scientists, application developers, and product managers in a fast-paced, global environment, contributing to our cloud initiative and continuous modernization of the tech stack.

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