Sr. Software Engineer - DevOps (Finance Data)

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Job Overview

The Sr. Software Engineer - DevOps (Finance Data) at GEICO will play a critical role in enhancing and optimizing our financial data infrastructure. This position requires an individual with a deep understanding of software engineering principles, DevOps practices, and a passion for delivering efficient and scalable solutions. The ideal candidate will collaborate with cross-functional teams to automate, monitor, and secure our finance-related applications, ensuring performance and reliability while fostering a culture of continuous improvement and innovation.

Job Responsibilities

• Design and implement CI/CD pipelines to streamline software deployment processes.
• Maintain and optimize the financial data processing systems with high availability and performance.
• Collaborate with cloud engineers to ensure infrastructure aligns with security and compliance standards.
• Monitor application performance and troubleshoot issues to minimize downtime.
• Develop and maintain automation scripts for data management tasks, including data ingestion and processing.
• Coordinate with finance and IT departments to gather requirements and deliver optimal solutions.
• Conduct code reviews and mentor junior engineers to foster professional development.
• Stay current with industry trends and best practices in DevOps and financial data management.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.
• Minimum of 5 years of experience in software engineering with a focus on DevOps practices.
• Proficiency in containerization technologies such as Docker and orchestration tools like Kubernetes.
• Strong background in cloud computing platforms (e.g., AWS, Azure).
• Experience with programming languages such as Python, Java, or Go.
• In-depth knowledge of database technologies (e.g., SQL, NoSQL) and financial data frameworks.
• Exceptional problem-solving skills and the ability to work under pressure.
• Excellent communication skills and a collaborative mindset.

Technologies & Tools

This position utilizes various technologies and tools, including but not limited to: Docker for containerization, Kubernetes for orchestration, AWS for cloud services, Jenkins for CI/CD, Terraform for infrastructure as code, and monitoring tools such as Prometheus and Grafana. Proficiency in SQL and NoSQL databases, along with modern programming languages like Python and Java, is essential for effective performance in this role.

Ideal Candidates

The ideal candidate for the Sr. Software Engineer - DevOps (Finance Data) role will demonstrate a strong analytical mindset, an eagerness for continuous learning, and a commitment to quality and excellence. They should possess the ability to work collaboratively within a dynamic team environment, exhibit strong leadership qualities, and thrive in fast-paced situations. Critically, the candidate should be innovative, open to feedback, and proactive in identifying opportunities for improvement within the DevOps processes and financial data systems.