Senior Software Engineer — Cloud-Native & Event-Driven

Fidelity Investments Inc.; Durham (NC); On-site; USD 130,000 - 170,000; Full time

Benefits offered by this job

Onsite work model

Competitive salary

Job summary

Fidelity Investments in Durham, NC is seeking a Senior Software Engineer to join the Shared Services Engineering organization. You will help build the Event Distribution Platform and modernize the FENS system into a cloud-native, event-driven platform serving millions of clients.

You will work with a team of engineers, architects, and product owners to deliver real-time, compliant messaging at scale using AWS, Kafka, RESTful APIs, and microservices.

Qualifications

• 6+ years of experience in Java, Spring Boot, distributed systems, and event-driven architectures.
• Experience with Apache Kafka, event streaming patterns, and scalable messaging platforms.
• Experience building RESTful APIs and microservices.
• Experience designing cloud-native solutions on AWS.
• Experience testing, CI/CD, and fast-paced development.

Responsibilities

• Develop and maintain the Event Distribution Platform within Brokerage Notification and Messaging.
• Modernize Fidelity Electronic Notification System (FENS) from legacy to cloud-native architecture.
• Build real-time, compliant, personalized communications for Retail and Institutional clients.
• Collaborate with engineers, architects, product owners, and business partners.

Skills

Java

Spring Boot

Distributed systems

Event-driven architecture

Apache Kafka

REST APIs

Microservices

AWS cloud

CI/CD

Problem solving

Tools

Apache Kafka

AWS

CI/CD pipelines

Job description

Fidelity Investments in Durham, NC is seeking a Senior Software Engineer to join the Shared Services Engineering organization. You will help build the Event Distribution Platform and modernize the FENS system into a cloud-native, event-driven platform serving millions of clients.

You will work with a team of engineers, architects, and product owners to deliver real-time, compliant messaging at scale using AWS, Kafka, RESTful APIs, and microservices.