(SME)Senior Kubernetes Architecture Engineer

ASCENDINGFairfax, VA

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Overview

Schedule

Full-time

Career level

Senior-level

Remote

Benefits

Career Development

Job Description

-- Fully Remote -- USC(U.S. citzen) Only -- Available for W2 or 1099

As a Senior Software Engineer, you will play a significant part in leading the rearchitecting efforts of our existing monolithic payment system to a cloud-native architecture, leveraging modern cloud technologies and best practices. This will include collaborating with cross-functional teams including software engineers, architects, and product managers to define and implement the new payment system architecture. The Lead Engineer will also drive the adoption of DevOps principles and practices throughout the software development lifecycle, ensuring seamless integration and deployment processes.

Job Responsibilities:

Stay up-to-date with emerging technologies, frameworks, and industry trends related to payment systems and cloud computing.
Design and implement microservices-based architecture using domain-driven design principles.
Utilize Kubernetes for container orchestration and management, ensuring scalability, reliability, and high availability of the payment system.
Implement robust monitoring, logging, and alerting mechanisms to ensure system performance and availability .
Develop highly resilient and highly available components for the payment system
Conduct technology evaluations and provide recommendations for new tools, technologies, and frameworks that can enhance our payment infrastructure.
Mentor and provide technical guidance to junior team members, fostering a culture of continuous learning and professional growth.

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Qualifications:

Strong Kubernetes(K8S) experience required
7+ years of software engineering experience.
5+ years of experience in rearchitecting large-scale monolithic applications to cloud-native architectures .
5+ years of experience programming in languages such as Java, Python, or Node.js, and experience with modern framework and libraries .
3+ years of experience with DevOps principles, CI/CD pipelines, and automation tool.(Kubernet is a must)
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
3+years of experience in payment domain
3+years of experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform, including experience with serverless architectures, containers, and orchestration
2+years of experience with payment industry standards, protocols, and security best practices

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FAQs About (SME)Senior Kubernetes Architecture Engineer Jobs at ASCENDING

What is the work location for this position at ASCENDING?

This job at ASCENDING is located in Fairfax, VA, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.

What pay range can candidates expect for this role at ASCENDING?

Employer has not shared pay details for this role.

What employment applies to this position at ASCENDING?

ASCENDING lists this role as a Full-time position.

What experience level is required for this role at ASCENDING?

ASCENDING is looking for a candidate with "Senior-level" experience level.

Does ASCENDING allow remote work for this role?

Yes, this position at ASCENDING supports remote work, giving candidates the flexibility to work outside the primary office location.

What benefits are offered by ASCENDING for this role?

ASCENDING offers Career Development for this position. Actual benefits may vary depending on the employer's policies and employment terms.

What is the process to apply for this position at ASCENDING?

You can apply for this role at ASCENDING either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.