Cloud AWS Engineer

2 days ago

Richmond, United States Open Systems Technologies Full time

A financial firm is looking for a Cloud AWS Engineer to join their team. This role is remote. 

Pay: $100/hr

Responsibilities:
· Engage with architects, developers and technical support teams to achieve success in deployment of Cloud application services within a managed service environment.
· Work with business partners, architects, and other groups to identify technical and functional needs of systems, and determine priority of needs.
· Collaborate with performing teams to deliver new capabilities in business applications and/or remediate issues.
· Analyze, define and document requirements for data, workflow, and logical processes
· Analyze and translate business, information and technical requirements to create patterns for solutions that integrate across applications, systems and platforms to achieve business objectives.
· Assess foundational services, integration services, cloud operations and management capabilities.
· Champion, communicate and rationalize approaches with business leaders, organization management and within teams to develop structured outcome of proof of fit/proof of concept.
· Establish the direction for application development approaches, including tools, process and frameworks.
· Support preparation of documentation including application designs, Assessments, Security Management, Implementation Plans and post implementation documentation.
· Lead by example, demonstrating high performance in the areas of customer satisfaction, collaboration, teamwork, and reliability.
· Participate in the establishment of local standards, patterns, and practices for cloud integration, while providing input and influence to broader organizational standards and initiatives.
· Spearhead use of innovative new technology and best practices for new product and solution development initiatives.
· Participate in IT strategy development, including environmental analysis, opportunity identification, business cases, business innovation, and portfolio development.

Responsible for the planning and engineering of an organization's systems infrastructure. Includes the implementation and design of hardware and software.
Monitors the performance of systems.
Relies on extensive experience and judgment to plan and accomplish goals.
Performs a variety of complicated tasks.
Works under general supervision.
Leads and directs the work of others.
A wide degree of creativity and latitude is expected.
Typically reports to a manager or head of a unit/department.

Qualifications:
Typically requires a bachelor's degree in area of specialty and 6-8 years of experience in the field or in a related area.
Familiar with concepts, practices, and procedures within a particular field.
• Understand technology vision and strategic direction of business needs
• Develop product roadmaps in alignment with other data products and business roadmaps
• Design integrated solution in alignment with design patterns, blueprints, guidelines, and standard methodologies for products
• Participate in defining technical requirements that outlines solution for enabling data analytics within an AWS cloud environment.
• Participate in developing architecture and design conceptual solutions by incorporating cloud native and 3rd party vendor products
• Provide analysis of current state, future state, and define key outcomes for an IT data platform strategy.
• Participate in research and perform POCs (proofs of concept) with emerging technologies and adopt industry best practices in the data space for advancing the cloud data platform
• Demonstrate automation through Infrastructure as a code to increase build efficiency in the cloud
• Develop scripting to integrate multiple data sources to data and analytics platform
• Build platform supporting rehydration and HA
• Build end to end automation to support and maintain software currency
• Create automation services for builds using Terraform, Python, and OS shell scripts.
• Develop validation and certification process through automation tools
• Develop multi-layered build, installation, configuration, patching, regression testing, and rollback scripts in each environment.
• Integrate platforms to form a cohesive data mesh and help democratize data
• Create patching process to compare different versions of the configuration settings.
• Provide consulting and guidance on business solution development in the data and analytics space and cloud technologies
• Demonstrate leadership, collaboration, exceptional communication, negotiation, strategic and influencing skills to gain consensus and produce the best solutions.

24-04857

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