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Join our client, a leading financial institution at the forefront of innovation, where technology drives success and reliability is paramount. As a critical partner, Aquent is seeking an exceptional individual to step into a pivotal role within their dynamic engineering team. This isn’t just a job; it’s an opportunity to shape the future of their robust platforms and ensure seamless, high-performance operations for millions of users.
Job Responsibility:
Drive Technical Leadership & Project Delivery: Lead engineering teams through the entire project lifecycle, leveraging agile methodologies like Scrum to ensure efficient delivery and robust release practices
Architect & Design Cloud-Native Solutions: Translate high-level architectural visions into detailed low-level designs, providing expert technical oversight for the development and deployment of cutting-edge cloud-native applications
Champion Reliability & Scalability: Design, architect, and deploy highly available and scalable cloud-native applications on platforms such as GCP, ensuring optimal performance and resilience
Optimize Data Management: Leverage your expertise with diverse database technologies, including MongoDB, Aerospike, SQL Server, and PostgreSQL, to build and maintain robust data solutions
Advance DevOps & Automation: Implement and optimize containerization strategies using technologies like Docker and Kubernetes, and establish sophisticated CI/CD pipelines to streamline development and deployment
Innovate with AI/ML: Integrate and apply AI/Machine Learning models to enhance data analytics, visualization, automation, and creatively solve complex business and technical challenges
Foster Collaboration & Mentorship: Work closely with diverse stakeholders across product management, architecture, and other engineering domains, while actively mentoring and coaching multiple teams to elevate technical capabilities
Influence & Present Solutions: Effectively engage subject matter experts, present complex architectural solutions to governance boards and stakeholders, and advocate for data-driven proposals
Requirements:
Proven experience leading engineering teams and delivering projects using Scrum and efficient release practices
Strong background in converting high-level designs into low-level designs and providing technical oversight
Demonstrated experience in designing, architecting, and deploying cloud-native applications, specifically on GCP
Proficiency with various database technologies, including MongoDB, Aerospike, SQL Server, and PostgreSQL
Expertise in containerization technologies such as Docker and Kubernetes, and building/managing CI/CD pipelines
Experience leveraging AI-Driven software development tools to enhance productivity, code comprehension, and documentation
Proven track record of integrating and applying AI/Machine Learning models for data analytics, visualization, automation, and problem-solving
Ability to maintain high quality standards while delivering within tight schedules
Exceptional collaborative mindset with a bias for action, engaging effectively with product management, architects, and other domains
Strong ability to work with internal, external, and offshore stakeholders
Adept at engaging subject matter experts and quickly grasping complex technical topics
Demonstrated ability to critically evaluate solutions, present data-backed proposals, and commit to successful delivery
Expertise in solution discovery and crafting designs based on sound engineering principles
Creative problem-solver with a knack for analytical thinking
Experience mentoring and coaching multiple teams, with the ability to lead across organizational domains
Excellent presentation skills, capable of articulating architecture and solutions to governance boards and stakeholders
Nice to have:
A passion for leveraging cutting-edge AI/ML to push the boundaries of technical solutions
A proactive approach to identifying and solving complex challenges, consistently seeking innovative paths forward
A natural ability to inspire and guide teams, fostering an environment of continuous learning and technical excellence
The courage to challenge assumptions constructively, backed by data, and a steadfast commitment to collective success
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