Staff Software Engineer - Java | Kafka | Kubernetes

Staff Software Engineer

Note: Candidates should be based in the NYC/NJ area.

About the Team/Role

We are the WEX Fleet Services team, dedicated to building modern API interfaces for WEX's industry-leading fuel card platform. We are defining and creating APIs for both internal and external customers, and we're at the forefront of creating a foundation to open up new opportunities for WEX.

As a Staff Software Engineer on our team, you will be a key contributor and leader following best practices in designing, developing, and maintaining our cloud-native solution and deliver best in class solutions. You'll work with a modern tech stack including containerization, Kafka event streams, ElasticSearch, and APIs written in Java. This is an opportunity for you to join an agile, and collaborative team that values leadership, ownership, high-quality results, and a fun working environment.

How You'll Make An Impact

• Design, develop, and implement scalable and reliable software solutions using Kafka, ElasticSearch, and other modern technologies.

• Contribute to the long-term architecture and design of our cloud-native infrastructure.

• Write clean, maintainable, and well-documented code.

• Participate in code reviews and collaborate with other team members to ensure high code quality.

• Troubleshoot and resolve issues in a timely and efficient manner.

• Ability to learn new technology and switch between tech stacks.

• Stay abreast of industry best practices and emerging technologies, adopt and lead by example.

• Demonstrate strong ownership and ability to collaborate with stakeholders and exercise technical influence across partner teams.

Experience You'll Bring

• Bachelor's degree in Computer Science, Engineering, or a related field.

• 7-12 years of software development experience with deep understanding of API design fundamentals, including experience developing and supporting cloud-based infrastructure as code.

• Strong understanding of data structures and algorithms, object-oriented design, and problem-solving skills.

• Expertise in designing and developing large-scale services with scalability, availability, security, and reliability design tenets.

• Strongly proficient with event streaming platforms (e.g., Kafka).

• Expertise in Elasticsearch, including query optimization, indexing, and data analysis.

• Demonstrated experience with cloud platforms such as AWS, use of Terraform, SQL/ NoSQL databases and DevOps best practices.

• Deep understanding of building robust authentication and authorization mechanisms.

• Excellent written and verbal communication skills, and a collaborative mindset.

Bonus Points For

• Experience with Kafka, AWS, Elasticsearch and Java.

• Experience with automated deployment pipelines.

• Examples of passion projects or contributions to open-source projects.

• Passion for technology and a desire to learn and grow.

We are looking for engineers who are passionate about building innovative solutions, collaborating with a talented team, and making a meaningful impact on our business. If this sounds like you, we encourage you to apply!

The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section.

Pay Range: $140,600.00 - $173,100.00