Are you an experienced, passionate pioneer in technology - a solutions builder, a roll-up-your-sleeves technologist who wants a daily collaborative environment, think-tank feel and share new ideas with your colleagues - without the extensive demands of travel? If so, consider an opportunity with our US Delivery Center - we are breaking the mold of a typical Delivery Center.

Our US Delivery Centers have been growing since 2014 with significant, continued growth on the horizon. Interested? Read more about our opportunity below ...

Required Qualifications

• Bachelor's degree or equivalent years of relevant experience
• 5+ years of professional experience designing, developing and modifying software systems and custom components using modern dev stack
• Develop software solutions by analyzing system performance standards, confer with users or system engineers; analyze systems flow, data usage and work processes; and investigate problem areas
• Integrate existing software into new or modified systems
• Develop and execute test procedures for software components
• Analyze user requirements to derive technical software design and performance requirements
• Lead API development, owns the repo(s), approves merge requests, accountable for quality
• Implement Java RESTful APIs using Spring Boot, Junit, OpenAPI
• Writes acceptance and ugnit tests as code you TypeScript and Jasmine Framework
• Kubernetes, Service Mesh experience for API developers
• Key Skills: Deep knowledge of Agile Dev Methodology, Java Spring Framework, J2EE, Eclipse, SonarQube, Jenkins, React.js, Node.js, Kubernetes, Jasmine, TypeScript
• Must live a commutable distance to one of the following cities: Atlanta, GA; Austin, TX; Boston, MA; Charlotte, NC; Chicago, IL; Cincinnati, OH; Cleveland, OH; Dallas, TX; Detroit, MI; Gilbert, AZ; Houston, TX; Indianapolis, IN; Kansas City, MO; Lake Mary, FL; Los Angeles, CA; Mechanicsburg, PA; Miami, FL; McLean, VA; Minneapolis, MN; Nashville, TN; Orange County, CA; Philadelphia, PA; Phoenix, AZ; Pittsburgh, PA; Rosslyn, VA; Sacramento, CA; St. Louis, MO; San Diego, CA; Seattle, WA; Tallahassee, FL; Tampa, FL
• Ability to travel up to 10%
• No sponsorship available for this role
• Must have an active secret clearance

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $103,000 to $171,000.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

The Team

Artificial Intelligence & Data Engineering

In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.

The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.

Artificial Intelligence & Data Engineering will work with our clients to:

• Implement large-scale data ecosystems including data management, governance, and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms.
• Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions.
• Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise, and providing As-a-Service offerings for continuous insights and improvements