Full Stack Engineer

Reposted Yesterday
Jersey City, NJ, USA
Hybrid
Mid level
Information Technology • Database • Consulting
The Role
Design, build, and maintain Angular front-ends and Python/Java back-end services; architect CI/CD and data pipelines for GenAI training/inference; troubleshoot full-stack and AI integrations; collaborate with cross-functional teams and mentor developers while promoting best practices.
Summary Generated by Built In

Key Responsibilities:

  • Collaborate with cross-functional teams to gather, analyze, and refine requirements, aligning technical solutions with business objectives.
  • Develop robust front-end applications using Angular and back-end services primarily in Python and Java.
  • Architect, implement, and manage CI/CD pipelines 
  • Design and maintain efficient data pipelines for GenAI model training and inference.
  • Troubleshoot and resolve issues across the full stack and AI integrations to ensure high 
  • Keep abreast of latest advancements in Full-stack technologies, and cloud platforms.
  • Lead and mentor development teams, promoting best practices and continuous improvement.
 

Must-Have Skills:

  • Proficiency in Python and Angular with strong full-stack development experience.
  • Solid knowledge of Java and experience with backend frameworks like Spring, Flask, or Django.
  • Experience working with cloud platforms, especially AWS services 
  • Solid experience with SQL and NoSQL databases.
  • Familiarity with Agile/Scrum methodologies and end-to-end SDLC..
 

Good-to-Have Skills:

  • Experience with other front-end frameworks such as React or Vue.js.
  • Knowledge of Node.js or other backend technologies.
  • Prior involvement in release/change management processes.
  • Exposure to data engineering concepts and building data pipelines
  • Experience working in highly regulated or enterprise environments.

The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.

Responsibilities

Key Responsibilities:

  • Collaborate with cross-functional teams to gather, analyze, and refine requirements, aligning technical solutions with business objectives.
  • Develop robust front-end applications using Angular and back-end services primarily in Python and Java.
  • Architect, implement, and manage CI/CD pipelines 
  • Design and maintain efficient data pipelines for GenAI model training and inference.
  • Troubleshoot and resolve issues across the full stack and AI integrations to ensure high 
  • Keep abreast of latest advancements in Full-stack technologies, and cloud platforms.
  • Lead and mentor development teams, promoting best practices and continuous improvement.
 

Must-Have Skills:

  • Proficiency in Python and Angular with strong full-stack development experience.
  • Solid knowledge of Java and experience with backend frameworks like Spring, Flask, or Django.
  • Experience working with cloud platforms, especially AWS services 
  • Solid experience with SQL and NoSQL databases.
  • Familiarity with Agile/Scrum methodologies and end-to-end SDLC..
 

Good-to-Have Skills:

  • Experience with other front-end frameworks such as React or Vue.js.
  • Knowledge of Node.js or other backend technologies.
  • Prior involvement in release/change management processes.
  • Exposure to data engineering concepts and building data pipelines
  • Experience working in highly regulated or enterprise environments.

The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.

Qualifications

bachelors degree in engineering, computer science or related field 

Skills Required

  • Proficiency in Python
  • Proficiency in Angular
  • Knowledge of Java
  • Experience with backend frameworks like Spring, Flask, or Django
  • Experience with cloud platforms, especially AWS
  • Solid experience with SQL databases
  • Solid experience with NoSQL databases
  • Architect, implement, and manage CI/CD pipelines
  • Design and maintain data pipelines for GenAI model training and inference
  • Familiarity with Agile/Scrum methodologies and end-to-end SDLC
  • Bachelor's degree in engineering, computer science, or related field
  • Experience with React or Vue.js
  • Knowledge of Node.js
  • Prior involvement in release/change management processes
  • Exposure to data engineering concepts and building data pipelines
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The Company
HQ: New York, NY
30,246 Employees
Year Founded: 1999

What We Do

Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.

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